xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

151beeecee85f8f8f1854a4eb0eedf92f2702417

7,188

py

Python

noise_robust_cobras/noise_robust/datastructures/cycle.py

jonassoenen/noise_robust_cobras

0e5823dbba0263c3ccb3c2afb4267f2f542fc568

[ "Apache-2.0" ]

2

2020-07-30T15:09:53.000Z

2020-07-31T06:33:36.000Z

noise_robust_cobras/noise_robust/datastructures/cycle.py

magicalJohn/noise_robust_cobras

0e5823dbba0263c3ccb3c2afb4267f2f542fc568

[ "Apache-2.0" ]

null

noise_robust_cobras/noise_robust/datastructures/cycle.py

magicalJohn/noise_robust_cobras

0e5823dbba0263c3ccb3c2afb4267f2f542fc568

[ "Apache-2.0" ]

1

2021-12-12T11:11:25.000Z

from collections import defaultdict from noise_robust_cobras.noise_robust.datastructures.constraint import Constraint from noise_robust_cobras.noise_robust.datastructures.constraint_index import ( ConstraintIndex, ) class Cycle: """ A class that represents a valid constraint cycle attributes:...

37.243523

128

0.657763

835

7,188

5.358084

0.156886

0.040232

0.019669

0.022351

0.236254

0.181717

0.140814

0.086723

0.06169

0.044703

0

0.00836

0.267807

7,188

192

129

37.4375

0.841725

0.085142

0

0.189189

0

0.005695

0

0.013514

1

0.141892

false

0

0.02027

0.067568

0.351351

0

null

0

null

0

1

0

1278169f69007b0aff65ad2222788f61228ad8d6

8,342

py

Python

maps.py

BouncyButton/places-simulator

a1f5fc385750af9968cc3c6216ba20f5de4719fd

[ "MIT" ]

null

maps.py

BouncyButton/places-simulator

a1f5fc385750af9968cc3c6216ba20f5de4719fd

[ "MIT" ]

null

maps.py

BouncyButton/places-simulator

a1f5fc385750af9968cc3c6216ba20f5de4719fd

[ "MIT" ]

null

import googlemaps import secret from datetime import datetime import requests import pickle import time gmaps = googlemaps.Client(key=secret.PLACES_API_KEY) # lat = 45.411400 # lon = 11.887491 coordinates = [ (45.411400, 11.887491), # torre archimede (45.409218, 11.877915), # piazza garibaldi (45.407698...

29.167832

121

0.609686

1,053

8,342

4.706553

0.31339

0.015537

0.013317

0.014528

0.159605

0.12954

0.1023

0.080508

0.060331

0

0.02154

0.254256

8,342

285

122

29.270175

0.775117

0.117238

0

0.179348

0

0.016304

0.172084

0.048347

0

1

0.059783

false

0.01087

0.119565

0

0.206522

0.076087

0

null

0

null

0

1

0

12785f321ec0fa0181c3a4c19bc2048854ea35ad

31,231

py

Python

azure-iot-device/tests/iothub/test_sync_handler_manager.py

dt-boringtao/azure-iot-sdk-python

35a09679bdf4d7a727391b265a8f1fbb99a30c45

[ "MIT" ]

null

azure-iot-device/tests/iothub/test_sync_handler_manager.py

dt-boringtao/azure-iot-sdk-python

35a09679bdf4d7a727391b265a8f1fbb99a30c45

[ "MIT" ]

null

azure-iot-device/tests/iothub/test_sync_handler_manager.py

dt-boringtao/azure-iot-sdk-python

35a09679bdf4d7a727391b265a8f1fbb99a30c45

[ "MIT" ]

null

# ------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # -------------------------------------------------------------------------- import log...

43.077241

170

0.700202

3,918

31,231

5.372639

0.103624

0.061853

0.045891

0.042755

0.71696

0.684181

0.625843

0.582565

0.513064

0.442708

0

0.003883

0.233198

31,231

724

171

43.13674

0.875104

0.176075

0

0.532934

0

0.017964

0.180012

0.019871

0

0.159681

1

0.105788

false

0.00998

0.01996

0.02994

0.185629

0

null

0

null

0

1

0

1278ee593e924b3273cd53898ff8735b235b993e

885

py

Python

src/python/Chameleon.Faas/demo/helloworld_grpc_client.py

sevenTiny/Seventiny.Cloud.ScriptEngine

dda66a7d2ec8c203823e07666314b9d0c8795768

[ "Apache-2.0" ]

2

2020-01-17T03:16:42.000Z

2020-08-28T04:23:06.000Z

src/python/Chameleon.Faas/demo/helloworld_grpc_client.py

sevenTiny/Seventiny.Cloud.ScriptEngine

dda66a7d2ec8c203823e07666314b9d0c8795768

[ "Apache-2.0" ]

null

src/python/Chameleon.Faas/demo/helloworld_grpc_client.py

sevenTiny/Seventiny.Cloud.ScriptEngine

dda66a7d2ec8c203823e07666314b9d0c8795768

[ "Apache-2.0" ]

1

2019-12-13T07:02:56.000Z

import grpc import helloworld_pb2 import helloworld_pb2_grpc from grpc.beta import implementations def run(): # 连接 rpc 服务器 # TSL连接方式 >>> with open('G:\\DotNet\\SevenTiny.Cloud.FaaS\\Code\\Python\\SevenTiny.Cloud.FaaS.GRpc\\ca\\client.pem', 'rb') as f: pem = f.read() creds = implementations.ssl...

34.038462

118

0.701695

105

885

5.733333

0.533333

0.107973

0.063123

0.096346

0.136213

0

0.019048

0.169492

885

26

119

34.038462

0.8

0.107345

0

0.117647

0

0.058824

0.215287

0.113376

0

1

0.058824

false

0

0.235294

0

0.294118

0.117647

0

null

0

null

0

1

0

127b202282fe9d7b819fac4de12d835378edbe4e

5,680

py

Python

azdev/params.py

marstr/azure-cli-dev-tools

8b82b1867a425a9a017868c6c1aef2f4bb5aa62b

[ "MIT" ]

null

azdev/params.py

marstr/azure-cli-dev-tools

8b82b1867a425a9a017868c6c1aef2f4bb5aa62b

[ "MIT" ]

null

azdev/params.py

marstr/azure-cli-dev-tools

8b82b1867a425a9a017868c6c1aef2f4bb5aa62b

[ "MIT" ]

null

# ----------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # ----------------------------------------------------------------------------- # ...

67.619048

214

0.659859

769

5,680

4.804941

0.273082

0.0682

0.084438

0.077402

0.269824

0.234912

0.186468

0.178078

0.158593

0.088498

0

0.000631

0.163204

5,680

83

215

68.433735

0.776773

0.059155

0

0.070175

0

0.462619

0

0.035088

0

1

0.017544

false

0.035088

0.052632

0

0.087719

0

null

0

null

0

1

0

127c2b5fae2468e39370fecece20d2e64788de00

11,609

py

Python

comps.py

matthewb66/bdconsole

edc9a03f93dd782d58ff274ebe5152f7eccecff7

[ "MIT" ]

null

comps.py

matthewb66/bdconsole

edc9a03f93dd782d58ff274ebe5152f7eccecff7

[ "MIT" ]

null

comps.py

matthewb66/bdconsole

edc9a03f93dd782d58ff274ebe5152f7eccecff7

[ "MIT" ]

null

import json import dash_bootstrap_components as dbc import dash_core_components as dcc import dash_html_components as html import pandas as pd import dash_table def get_comps_data(bd, projverurl): print('Getting components ...') # path = projverurl + "/components?limit=5000" # # custom_headers = {'Acc...

41.460714

103

0.450168

909

11,609

5.617162

0.276128

0.018801

0.025069

0.04857

0.13964

0.085586

0.065609

0.027419

0

0.009008

0.407098

11,609

279

104

41.609319

0.73282

0.075286

0

0.11588

0

0.283617

0.017767

0

1

0.021459

false

0

0.025751

0

0.072961

0.017167

0

null

0

null

0

1

0

127c9e72b97842964045050d2c4c20f3d0a12a28

656

py

Python

CursoemVideoPython/Desafio 35.py

Beebruna/Python

bdbe10ea76acca1b417f5960db0aae8be44e0af3

[ "MIT" ]

null

CursoemVideoPython/Desafio 35.py

Beebruna/Python

bdbe10ea76acca1b417f5960db0aae8be44e0af3

[ "MIT" ]

null

CursoemVideoPython/Desafio 35.py

Beebruna/Python

bdbe10ea76acca1b417f5960db0aae8be44e0af3

[ "MIT" ]

null

''' Desenvolva um programa que leia o comprimento de três retas e diga ao usuário se elas podem ou não formar um triângulo. ''' reta1 = float(input('Digite o comprimento da primeira reta: ')) reta2 = float(input('Digite o comprimento da segunda reta: ')) reta3 = float(input('Digite o comprimento da terceira reta: ')) ...

38.588235

85

0.689024

97

656

4.659794

0.463918

0.106195

0.112832

0.199115

0

0.034682

0.208841

656

17

86

38.588235

0.836224

0.181402

0

0.181818

0

0.471698

0

1

0

false

0

0.363636

0

null

0

null

0

1

0

127dce97d99e34df63ba730d1cd14233e203885a

2,271

py

Python

threshold.py

jiep/unicode-similarity

a32a031f96dce2b8a52a8ff4b5365c768c016fc6

[ "MIT" ]

1

2019-02-22T10:31:51.000Z

threshold.py

jiep/unicode-similarity

a32a031f96dce2b8a52a8ff4b5365c768c016fc6

[ "MIT" ]

null

threshold.py

jiep/unicode-similarity

a32a031f96dce2b8a52a8ff4b5365c768c016fc6

[ "MIT" ]

1

2020-12-15T15:34:43.000Z

from pathlib import Path import numpy as np import pickle import argparse import errno import sys def file_exists(path): return Path(path).is_file() def dir_exists(path): return Path(path).is_dir() def remove_extension(x): return x.split('.')[0] def print_error(type, file): print(FileNotFoundError(e...

28.037037

79

0.589608

257

2,271

5.097276

0.385214

0.051908

0.059542

0.100763

0.061069

0

0.010824

0.267723

2,271

80

28.3875

0.776909

0

0.125055

0

1

0.109091

false

0

0.109091

0.054545

0.254545

0.072727

0

null

0

null

0

1

0

127def7299a4b8a5f141ed18533a55c708f10769

1,813

py

Python

y2019/control_loops/python/wrist.py

Ewpratten/frc_971_mirror

3a8a0c4359f284d29547962c2b4c43d290d8065c

[ "BSD-2-Clause" ]

null

y2019/control_loops/python/wrist.py

Ewpratten/frc_971_mirror

3a8a0c4359f284d29547962c2b4c43d290d8065c

[ "BSD-2-Clause" ]

null

y2019/control_loops/python/wrist.py

Ewpratten/frc_971_mirror

3a8a0c4359f284d29547962c2b4c43d290d8065c

[ "BSD-2-Clause" ]

null

#!/usr/bin/python from aos.util.trapezoid_profile import TrapezoidProfile from frc971.control_loops.python import control_loop from frc971.control_loops.python import angular_system from frc971.control_loops.python import controls import copy import numpy import sys from matplotlib import pylab import gflags import gl...

24.835616

87

0.674021

260

1,813

4.565385

0.423077

0.05476

0.042965

0.055602

0.139848

0.085931

0

0.063459

0.209046

1,813

72

88

25.180556

0.764296

0.071153

0

0.094869

0

1

0.019608

false

0.019608

0.196078

0

0.215686

0

null

0

null

0

1

0

1282bd510ec173d21c0fd86f0dd67b09824e394a

2,772

py

Python

.venv/lib/python3.8/site-packages/pandas/tests/indexes/timedeltas/test_shift.py

acrucetta/Chicago_COVI_WebApp

a37c9f492a20dcd625f8647067394617988de913

[ "MIT", "Unlicense" ]

115

2020-06-18T15:00:58.000Z

2022-03-02T10:13:19.000Z

.venv/lib/python3.8/site-packages/pandas/tests/indexes/timedeltas/test_shift.py

acrucetta/Chicago_COVI_WebApp

a37c9f492a20dcd625f8647067394617988de913

[ "MIT", "Unlicense" ]

37

2020-10-20T08:30:53.000Z

2020-12-22T13:15:45.000Z

.venv/lib/python3.8/site-packages/pandas/tests/indexes/timedeltas/test_shift.py

acrucetta/Chicago_COVI_WebApp

a37c9f492a20dcd625f8647067394617988de913

[ "MIT", "Unlicense" ]

60

2020-07-22T14:53:10.000Z

2022-03-23T10:17:59.000Z

import pytest from pandas.errors import NullFrequencyError import pandas as pd from pandas import TimedeltaIndex import pandas._testing as tm class TestTimedeltaIndexShift: # ------------------------------------------------------------- # TimedeltaIndex.shift is used by __add__/__sub__ def test_tdi_sh...

35.538462

82

0.544372

377

2,772

3.859416

0.214854

0.049485

0.065979

0.123711

0.579381

0.549141

0.52921

0.507216

0

0.087613

0.28355

2,772

77

83

36

0.645015

0.054834

0

0.275862

0

0.147793

0

0.172414

1

0.103448

false

0

0.086207

0

0.206897

0

null

0

null

0

1

0

1283922931293c1f0272600761d089b38ea78f4b

2,033

py

Python

stolos/tests/test_bin.py

sailthru/stolos

7b74da527033b2da7f3ccd6d19ed6fb0245ea0fc

[ "Apache-2.0" ]

121

2015-01-20T08:58:35.000Z

2021-08-08T15:13:11.000Z

stolos/tests/test_bin.py

sailthru/stolos

7b74da527033b2da7f3ccd6d19ed6fb0245ea0fc

[ "Apache-2.0" ]

3

2015-01-20T22:19:49.000Z

2016-02-10T10:48:11.000Z

stolos/tests/test_bin.py

sailthru/stolos

7b74da527033b2da7f3ccd6d19ed6fb0245ea0fc

[ "Apache-2.0" ]

20

2016-02-03T17:08:31.000Z

2021-04-19T10:43:28.000Z

import os from subprocess import check_output, CalledProcessError from nose import tools as nt from stolos import queue_backend as qb from stolos.testing_tools import ( with_setup, validate_zero_queued_task, validate_one_queued_task, validate_n_queued_task ) def run(cmd, tasks_json_tmpfile, **kwargs): cm...

36.303571

75

0.713724

312

2,033

4.278846

0.195513

0.076404

0.14382

0.620974

0.580524

0.553558

0.540075

0

0.029447

0.181505

2,033

55

76

36.963636

0.772837

0

0.478261

0

0.12002

0.014757

0

0.021739

1

0.086957

false

0

0.108696

0

0.217391

0

null

0

null

0

1

0

1283e6ee8cf196eb827ab2c20c8605ca98bca840

12,442

py

Python

senlin/tests/unit/engine/actions/test_create.py

chenyb4/senlin

8b9ec31566890dc9989fe08e221172d37c0451b4

[ "Apache-2.0" ]

null

senlin/tests/unit/engine/actions/test_create.py

chenyb4/senlin

8b9ec31566890dc9989fe08e221172d37c0451b4

[ "Apache-2.0" ]

null

senlin/tests/unit/engine/actions/test_create.py

chenyb4/senlin

8b9ec31566890dc9989fe08e221172d37c0451b4

[ "Apache-2.0" ]

null

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

43.201389

79

0.60987

1,460

12,442

4.94589

0.136986

0.049855

0.0457

0.047085

0.66999

0.646448

0.592993

0.518626

0.424179

0

0.016995

0.281145

12,442

287

80

43.351916

0.790362

0.059958

0

0.438914

0

0.128568

0

0.199095

1

0.040724

false

0

0.054299

0

0.099548

0

null

0

null

0

1

0

128572fd0692d7bc47b673410cce38c578481632

5,803

py

Python

examples/sentence_embedding/task_sentence_embedding_sbert_unsupervised_TSDAE.py

Tongjilibo/bert4torch

71d5ffb3698730b16e5a252b06644a136787711e

[ "MIT" ]

49

2022-03-15T07:28:16.000Z

2022-03-31T07:16:15.000Z

examples/sentence_embedding/task_sentence_embedding_sbert_unsupervised_TSDAE.py

Tongjilibo/bert4torch

71d5ffb3698730b16e5a252b06644a136787711e

[ "MIT" ]

null

examples/sentence_embedding/task_sentence_embedding_sbert_unsupervised_TSDAE.py

Tongjilibo/bert4torch

71d5ffb3698730b16e5a252b06644a136787711e

[ "MIT" ]

null

#! -*- coding:utf-8 -*- # 语义相似度任务-无监督：训练集为网上pretrain数据, dev集为sts-b from bert4torch.tokenizers import Tokenizer from bert4torch.models import build_transformer_model, BaseModel from bert4torch.snippets import sequence_padding, Callback, ListDataset import torch.nn as nn import torch import torch.optim as optim from to...

37.681818

196

0.689988

789

5,803

4.78327

0.319392

0.027557

0.018548

0.019078

0.122682

0.083201

0.063063

0.046105

0

0.023082

0.193693

5,803

153

197

37.928105

0.783501

0.045149

0

0.017241

0

0.025862

0.082006

0.060825

0

1

0.086207

false

0

0.112069

0

0.293103

0.008621

0

null

0

null

0

1

0

1286fbd5f6c9f344c50efdbd092dd4dcc7eb7bc9

1,086

py

Python

shadow/apis/item.py

f1uzz/shadow

0c2a1308f8bbe77ce4be005153148aac8ea0b4b2

[ "MIT" ]

1

2020-09-10T22:31:54.000Z

shadow/apis/item.py

f1uzz/shadow

0c2a1308f8bbe77ce4be005153148aac8ea0b4b2

[ "MIT" ]

1

2020-03-12T15:47:14.000Z

2020-09-11T18:46:44.000Z

shadow/apis/item.py

f1uzz/shadow

0c2a1308f8bbe77ce4be005153148aac8ea0b4b2

[ "MIT" ]

null

from functools import lru_cache from typing import Optional import requests from .patches import Patches class Item: """ Manipulation of static item data """ ITEM_URL = f"http://ddragon.leagueoflegends.com/cdn/{Patches.get_current_patch()}/data/en_US/item.json" items = requests.get(ITEM_URL).js...

25.255814

107

0.598527

149

1,086

4.221477

0.33557

0.066773

0.047695

0.069952

0.222576

0.098569

0

0.294659

1,086

43

108

25.255814

0.821149

0.211786

0

0.210526

0

0.052632

0.137615

0

1

0.105263

false

0

0.210526

0

0.578947

0

null

0

null

0

1

0

128751ef3f270c09dd8bfd854209616c9fbc00a9

2,694

py

Python

tests/test_lmdb_eager.py

rjpower/tensorflow-io

39aa0b46cfaa403121fdddbd491a03d2f3190a87

[ "Apache-2.0" ]

null

tests/test_lmdb_eager.py

rjpower/tensorflow-io

39aa0b46cfaa403121fdddbd491a03d2f3190a87

[ "Apache-2.0" ]

null

tests/test_lmdb_eager.py

rjpower/tensorflow-io

39aa0b46cfaa403121fdddbd491a03d2f3190a87

[ "Apache-2.0" ]

null

# Copyright 2019 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applic...

33.259259

80

0.655902

398

2,694

4.273869

0.351759

0.028219

0.023516

0.414462

0.379777

0.271605

0.244562

0

0.010949

0.18634

2,694

80

81

33.675

0.765055

0.336674

0

0.301887

0

0.041026

0

0.113208

1

0.037736

false

0

0.169811

0

0.207547

0.018868

0

null

0

null

0

1

0

128792253fac3bfe35e8e9d68865a244469d6f80

5,211

py

Python

recbole/quick_start/quick_start.py

RuihongQiu/DuoRec

4ebc30d8b7d9465f854867887b127a0bbc38bc31

[ "MIT" ]

16

2021-11-03T02:12:49.000Z

2022-03-27T05:48:19.000Z

recbole/quick_start/quick_start.py

RuihongQiu/DuoRec

4ebc30d8b7d9465f854867887b127a0bbc38bc31

[ "MIT" ]

2

2021-11-21T14:12:25.000Z

2022-03-11T03:00:04.000Z

recbole/quick_start/quick_start.py

RuihongQiu/DuoRec

4ebc30d8b7d9465f854867887b127a0bbc38bc31

[ "MIT" ]

4

2021-11-25T09:23:41.000Z

2022-03-26T11:23:26.000Z

# @Time : 2020/10/6 # @Author : Shanlei Mu # @Email : slmu@ruc.edu.cn """ recbole.quick_start ######################## """ import logging from logging import getLogger from recbole.config import Config from recbole.data import create_dataset, data_preparation from recbole.utils import init_logger, get_model, get_t...

35.209459

137

0.682978

690

5,211

4.95942

0.278261

0.036821

0.032729

0.025716

0.494448

0.48159

0.409994

0.384863

0

0.008766

0.189983

5,211

147

138

35.44898

0.801943

0.203608

0

0.282353

0

0.121891

0

1

0.023529

false

0

0.141176

0

0.188235

0

null

0

null

0

1

0

1287e0c57eb8a30f8e6d4ada3266d63abc50f722

4,947

py

Python

inferlo/generic/inference/bucket_renormalization.py

InferLO/inferlo

a65efce721d7f99d2f274dd94a1aaf7ca159e944

[ "Apache-2.0" ]

1

2022-01-27T18:44:07.000Z

inferlo/generic/inference/bucket_renormalization.py

InferLO/inferlo

a65efce721d7f99d2f274dd94a1aaf7ca159e944

[ "Apache-2.0" ]

3

2022-01-23T18:02:30.000Z

2022-01-27T23:10:51.000Z

inferlo/generic/inference/bucket_renormalization.py

InferLO/inferlo

a65efce721d7f99d2f274dd94a1aaf7ca159e944

[ "Apache-2.0" ]

1

2021-09-03T06:12:57.000Z

# Copyright (c) The InferLO authors. All rights reserved. # Licensed under the Apache License, Version 2.0 - see LICENSE. import warnings import numpy as np from sklearn.utils.extmath import randomized_svd from .bucket_elimination import BucketElimination from .factor import Factor, default_factor_name, produ...

41.571429

80

0.595512

508

4,947

5.462598

0.259843

0.032432

0.043243

0.060541

0.317838

0.196396

0.080721

0.054054

0

0.00447

0.321609

4,947

118

81

41.923729

0.822408

0.051142

0

0.087912

0

0.023256

0.011847

0

1

0.065934

false

0

0.076923

0

0.175824

0

null

0

null

0

1

0

1287eefddb9d27db413d1feaac4d915eb6887055

5,519

py

Python

oldcode/guestbook111013.py

mdreid/dinkylink

34370633c9361f6625227440d4aca6ed2b57bfab

[ "MIT" ]

1

2015-05-06T20:07:36.000Z

oldcode/guestbook111013.py

mdreid/dinkylink

34370633c9361f6625227440d4aca6ed2b57bfab

[ "MIT" ]

null

oldcode/guestbook111013.py

mdreid/dinkylink

34370633c9361f6625227440d4aca6ed2b57bfab

[ "MIT" ]

null

import os import urllib from google.appengine.api import users from google.appengine.ext import ndb import jinja2 import webapp2 from sys import argv import datetime import pickle import sys sys.path.insert(0, 'libs') import BeautifulSoup from bs4 import BeautifulSoup import requests import json JINJA_ENVIRONM...

31.901734

181

0.698315

677

5,519

5.636632

0.322009

0.020178

0.031447

0.033543

0.229822

0.168763

0.048742

0.034591

0

0.01898

0.179018

5,519

172

182

32.087209

0.823218

0.189165

0

0.057143

0

0.138514

0.00991

0

1

0.047619

false

0

0.133333

0

0.285714

0

null

0

null

0

1

0

1289c37f5bf5c6f565d40cc79d0b3cb7b6862bc0

4,482

py

Python

is_core/tests/crawler.py

zzuzzy/django-is-core

3f87ec56a814738683c732dce5f07e0328c2300d

[ "BSD-3-Clause" ]

null

is_core/tests/crawler.py

zzuzzy/django-is-core

3f87ec56a814738683c732dce5f07e0328c2300d

[ "BSD-3-Clause" ]

null

is_core/tests/crawler.py

zzuzzy/django-is-core

3f87ec56a814738683c732dce5f07e0328c2300d

[ "BSD-3-Clause" ]

null

import json from django.utils.encoding import force_text from germanium.tools import assert_true, assert_not_equal from germanium.test_cases.client import ClientTestCase from germanium.decorators import login from germanium.crawler import Crawler, LinkExtractor, HtmlLinkExtractor as OriginalHtmlLinkExtractor def fl...

34.744186

118

0.594378

503

4,482

5.089463

0.266402

0.035156

0.05

0.046875

0.152734

0.125

0.114063

0.101172

0.076953

0.04375

0

0.004097

0.292057

4,482

128

119

35.015625

0.80271

0.010263

0

0.195876

0

0.010309

0.106901

0.017591

0

0.030928

1

0.123711

false

0.010309

0.061856

0.020619

0.350515

0

null

0

null

0

1

0

128a56c54e5b4a6dbabdff93bd337ad93578a5cd

2,280

py

Python

autoscalingsim/scaling/scaling_model/scaling_model.py

Remit/autoscaling-simulator

091943c0e9eedf9543e9305682a067ab60f56def

[ "MIT" ]

6

2021-03-10T16:23:10.000Z

2022-01-14T04:57:46.000Z

autoscalingsim/scaling/scaling_model/scaling_model.py

Remit/autoscaling-simulator

091943c0e9eedf9543e9305682a067ab60f56def

[ "MIT" ]

null

autoscalingsim/scaling/scaling_model/scaling_model.py

Remit/autoscaling-simulator

091943c0e9eedf9543e9305682a067ab60f56def

[ "MIT" ]

1

2022-01-14T04:57:55.000Z

import json import pandas as pd from .application_scaling_model import ApplicationScalingModel from .platform_scaling_model import PlatformScalingModel from autoscalingsim.deltarepr.group_of_services_delta import GroupOfServicesDelta from autoscalingsim.deltarepr.node_group_delta import NodeGroupDelta from autoscali...

43.018868

124

0.744298

262

2,280

6.152672

0.366412

0.074442

0.062035

0.07134

0.109801

0.093052

0.052109

0

0.200877

2,280

52

125

43.846154

0.884742

0.15307

0

0.055819

0.013165

0

1

0.111111

false

0

0.259259

0.074074

0.481481

0

null

0

null

0

1

0

128b3b5e8ee085ddcb7d0e7d01778d05032f8030

1,662

py

Python

src/zojax/filefield/copy.py

Zojax/zojax.filefield

36d92242dffbd5a7b4ce3c6886d8d5898067245a

[ "ZPL-2.1" ]

null

src/zojax/filefield/copy.py

Zojax/zojax.filefield

36d92242dffbd5a7b4ce3c6886d8d5898067245a

[ "ZPL-2.1" ]

null

src/zojax/filefield/copy.py

Zojax/zojax.filefield

36d92242dffbd5a7b4ce3c6886d8d5898067245a

[ "ZPL-2.1" ]

null

############################################################################## # # Copyright (c) 2009 Zope Foundation and Contributors. # All Rights Reserved. # # This software is subject to the provisions of the Zope Public License, # Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution. # THIS SOF...

29.157895

78

0.642599

172

1,662

6.209302

0.459302

0.022472

0.026217

0.059925

0.136704

0.073034

0

0.004488

0.195548

1,662

56

79

29.678571

0.794316

0.277377

0

0.333333

0

1

0.2

false

0

0.133333

0

0.466667

0

null

0

null

0

1

0

128d0ee6d357971754e6aa9345f8db462e223612

1,087

py

Python

app/component_b/command/services.py

mirevsky/django-grpc-cqrs-kafka-template

31af0bf5d15e393837f937cace90f82a7de26355

[ "MIT" ]

2

2022-01-10T19:52:36.000Z

2022-03-19T07:34:54.000Z

app/component_b/command/services.py

mirevsky/django-grpc-cqrs-kafka-template

31af0bf5d15e393837f937cace90f82a7de26355

[ "MIT" ]

null

app/component_b/command/services.py

mirevsky/django-grpc-cqrs-kafka-template

31af0bf5d15e393837f937cace90f82a7de26355

[ "MIT" ]

null

import grpc from google.protobuf import empty_pb2 from django_grpc_framework.services import Service from component_b.common.serializers import PersonProtoSerializer from component_b.common.models import PersonModel class PersonCommandService(Service): def get_object(self, pk): try: return P...

31.970588

84

0.706532

123

1,087

6.130081

0.414634

0.035809

0.071618

0.05305

0.352785

0.236074

0

0.002331

0.210672

1,087

33

85

32.939394

0.876457

0

0.307692

0

0.016559

0

1

0.153846

false

0

0.192308

0

0.538462

0

null

0

null

0

1

0

128d2e658f8131c779045c3cbeaae1830ec9ef68

485

py

Python

Lab 5/course_reader.py

kq4hy/CS3240-Lab-Files

2611c3185a405da95547434825da9052cd4c6cec

[ "MIT" ]

null

Lab 5/course_reader.py

kq4hy/CS3240-Lab-Files

2611c3185a405da95547434825da9052cd4c6cec

[ "MIT" ]

null

Lab 5/course_reader.py

kq4hy/CS3240-Lab-Files

2611c3185a405da95547434825da9052cd4c6cec

[ "MIT" ]

null

__author__ = 'kq4hy' import csv import sqlite3 def load_course_database(db_name, csv_filename): conn = sqlite3.connect(db_name) with conn: curs = conn.cursor() with open(csv_filename, 'rU') as csvfile: reader = csv.reader(csvfile) for row in reader: sql...

28.529412

78

0.610309

59

485

4.779661

0.610169

0.070922

0.12766

0

0.014045

0.265979

485

17

79

28.529412

0.77809

0

0.185185

0.047325

0

1

0.076923

false

0

0.153846

0

0.230769

0

null

0

null

0

1

0

128ffa30d0305f7d87c64ef11d99dcfb6d3e311f

5,990

py

Python

kinlin/core/strategy.py

the-lay/kinlin

ce7c95d46d130049e356104ba77fad51bc59fb3f

[ "MIT" ]

null

kinlin/core/strategy.py

the-lay/kinlin

ce7c95d46d130049e356104ba77fad51bc59fb3f

[ "MIT" ]

null

kinlin/core/strategy.py

the-lay/kinlin

ce7c95d46d130049e356104ba77fad51bc59fb3f

[ "MIT" ]

null

import torch import torch.nn as nn import numpy as np from enum import Enum from typing import List, Callable, Any from tqdm import tqdm from .model import Model from .dataset import Dataset from .experiment import Experiment from .callback import Callback class TrainingEvents(Enum): START = 'on_start' FINIS...

40.748299

119

0.645576

698

5,990

5.310888

0.163324

0.053412

0.071217

0.027516

0.43836

0.357702

0.334772

0.304559

0.264095

0.240896

0

0.001125

0.258264

5,990

146

120

41.027397

0.833221

0.059432

0

0.235294

0

0.110676

0.061032

0

1

0.098039

false

0

0.098039

0

0.362745

0.058824

0

null

0

null

0

1

0

12916103d8a5f146e7baa8906defb115aac95a11

5,737

py

Python

GUI/PopUps/ExportPopUp.py

iagerogiannis/Image_to_plot

15c01c50dcd23dfd187069145b3f2fdc06ed73a9

[ "BSD-3-Clause" ]

null

GUI/PopUps/ExportPopUp.py

iagerogiannis/Image_to_plot

15c01c50dcd23dfd187069145b3f2fdc06ed73a9

[ "BSD-3-Clause" ]

null

GUI/PopUps/ExportPopUp.py

iagerogiannis/Image_to_plot

15c01c50dcd23dfd187069145b3f2fdc06ed73a9

[ "BSD-3-Clause" ]

null

from PyQt5.QtWidgets import QDialog, QPushButton, QVBoxLayout, QComboBox, QGroupBox, QCheckBox, QGridLayout, QMessageBox, QRadioButton from GUI.CustomWidgets.PathFileLineEdit import PathFileLineEdit from GUI.CustomWidgets.InputField import InputField class ExportPopUp(QDialog): def __init__(self, parent): ...

40.401408

134

0.656092

709

5,737

5.093089

0.191819

0.037663

0.047355

0.034893

0.287455

0.165605

0.132373

0.083079

0.065356

0

0.009397

0.239498

5,737

141

135

40.687943

0.818244

0

0.018349

0

0.060136

0

1

0.06422

false

0

0.027523

0

0.119266

0

null

0

null

0

1

0

1291ab8aed0db6cb7b1e8e05e5e25b1e6da39aea

7,993

py

Python

cwltool/update.py

PlatformedTasks/PLAS-cwl-tes

5e66a5f9309906d1e8caa0f7148b8517a17f840d

[ "Apache-2.0" ]

null

cwltool/update.py

PlatformedTasks/PLAS-cwl-tes

5e66a5f9309906d1e8caa0f7148b8517a17f840d

[ "Apache-2.0" ]

null

cwltool/update.py

PlatformedTasks/PLAS-cwl-tes

5e66a5f9309906d1e8caa0f7148b8517a17f840d

[ "Apache-2.0" ]

null

from __future__ import absolute_import import copy import re from typing import (Any, Callable, Dict, List, MutableMapping, MutableSequence, Optional, Tuple, Union) from functools import partial from ruamel.yaml.comments import CommentedMap, CommentedSeq from schema_salad import validate from sch...

39.181373

116

0.600025

866

7,993

5.47806

0.228637

0.005691

0.028457

0.041737

0.221543

0.210582

0.185076

0.166948

0.134696

0.112985

0

0.009042

0.280495

7,993

203

117

39.374384

0.815858

0.149005

0

0.165605

0

0.210269

0.010062

0

1

0.050955

false

0.006369

0.089172

0.006369

0.210191

0

null

0

null

0

1

0

129258b78096fc56ca7d44ecd92404b8c97448a2

2,072

py

Python

plottify/plottify.py

neutrinoceros/plottify

21f4858dabe1228559a8beb385f134ccfb25321e

[ "MIT" ]

null

plottify/plottify.py

neutrinoceros/plottify

21f4858dabe1228559a8beb385f134ccfb25321e

[ "MIT" ]

null

plottify/plottify.py

neutrinoceros/plottify

21f4858dabe1228559a8beb385f134ccfb25321e

[ "MIT" ]

null

import matplotlib.pyplot as plt from matplotlib import collections from matplotlib.lines import Line2D def autosize(fig=None, figsize=None): ## Take current figure if no figure provided if fig is None: fig = plt.gcf() if figsize is None: ## Get size of figure figsize = fig.get_s...

26.227848

87

0.598456

278

2,072

4.327338

0.320144

0.0133

0.017456

0.0399

0.322527

0.277639

0.244389

0.194514

0

0.015152

0.299228

2,072

78

88

26.564103

0.813361

0.10666

0

0.269231

0

0.015284

0

1

0.019231

false

0

0.115385

0

0.134615

0

null

0

null

0

1

0

12928ccd7dc4a56b7be40e6eb4668aed89dd266b

8,546

py

Python

ocular_algorithm/0x04_BasicRecurrenceAndRecursion.py

DistinctWind/ManimProjects

6318643afcc24574cbd9a0a45ff0d913d4711b13

[ "MIT" ]

2

2020-03-15T01:27:09.000Z

2020-03-20T02:08:09.000Z

ocular_algorithm/0x04_BasicRecurrenceAndRecursion.py

DistinctWind/ManimProjects

6318643afcc24574cbd9a0a45ff0d913d4711b13

[ "MIT" ]

null

ocular_algorithm/0x04_BasicRecurrenceAndRecursion.py

DistinctWind/ManimProjects

6318643afcc24574cbd9a0a45ff0d913d4711b13

[ "MIT" ]

null

from re import S from manimlib import * import sys import os from tqdm.std import tqdm sys.path.append(os.getcwd()) from utils.imports import * class Opening(Scene): def construct(self): title = Text("基础递推递归", font='msyh') self.play(Write(title), run_time=2) self.wait() self.pla...

32.371212

121

0.589165

1,124

8,546

4.386121

0.134342

0.100609

0.038945

0.059635

0.496957

0.467546

0.394929

0.336105

0.296755

0.266937

0

0.028004

0.252048

8,546

263

122

32.494297

0.743273

0

0.419355

0

0.018433

0.054645

0.039551

0

1

0.064516

false

0

0.02765

0

0.21659

0

null

0

null

0

1

0

12932a6f23a6e9331d41a53f62dfc3d9f6482d92

2,057

py

Python

gpv2/data/lessons/mil.py

michalsr/gpv2

00a22b311dbaeefb04e1df676eb6ae3373d8d4b5

[ "Apache-2.0" ]

null

gpv2/data/lessons/mil.py

michalsr/gpv2

00a22b311dbaeefb04e1df676eb6ae3373d8d4b5

[ "Apache-2.0" ]

null

gpv2/data/lessons/mil.py

michalsr/gpv2

00a22b311dbaeefb04e1df676eb6ae3373d8d4b5

[ "Apache-2.0" ]

null

import logging import sys from typing import Union, Optional, Dict, Any, List from dataclasses import dataclass, replace from exp.ours import file_paths from exp.ours.boosting import MaskSpec from exp.ours.data.dataset import Dataset, Task from exp.ours.data.gpv_example import GPVExample from exp.ours.models.model im...

21.206186

76

0.701507

311

2,057

4.469453

0.337621

0.030216

0.047482

0.051799

0.092086

0.073381

0.053237

0

0.004159

0.181818

2,057

96

77

21.427083

0.821747

0.140982

0

0.067797

0

0.09823

0.045688

0

1

0.118644

false

0

0.220339

0.050847

0.59322

0

null

0

null

0

1

0

1295c606d9e77831f602309b8cf0e51374c22061

7,148

py

Python

modules/utils.py

PaulLerner/deep_parkinson_handwriting

806f34eaa6c5dde2a8230a07615c69e0873c0535

[ "MIT" ]

2

2021-01-19T02:47:32.000Z

2021-05-20T08:29:36.000Z

modules/utils.py

PaulLerner/deep_parkinson_handwriting

806f34eaa6c5dde2a8230a07615c69e0873c0535

[ "MIT" ]

null

modules/utils.py

PaulLerner/deep_parkinson_handwriting

806f34eaa6c5dde2a8230a07615c69e0873c0535

[ "MIT" ]

2

2021-01-23T18:20:19.000Z

2021-08-09T03:53:32.000Z

import numpy as np from time import time import matplotlib.pyplot as plt measure2index={"y-coordinate":0,"x-coordinate":1,"timestamp":2, "button_status":3,"tilt":4, "elevation":5,"pressure":6} index2measure=list(measure2index.keys()) task2index={"spiral":0,"l":1,"le":2 ,"les":3,"lektorka" :4,"porovnat":5,"nepopadnout...

42.047059

133

0.663123

1,102

7,148

4.166062

0.251361

0.035069

0.014376

0.012198

0.204313

0.160749

0.135047

0.07384

0.067959

0.052276

0

0.044015

0.195859

7,148

169

134

42.295858

0.754175

0.117096

0

0.101351

0

0.089907

0

1

0.114865

false

0

0.02027

0.013514

0.243243

0.040541

0

null

0

null

0

1

0

1296326732d0f3f0616b1b674348b31dbce55859

574

py

Python

Mundo2/Desafio039.py

Marcoakira/Desafios_Python_do_Curso_Guanabara

c49b774148a2232f8f3c21b83e3dc97610480757

[ "MIT" ]

null

Mundo2/Desafio039.py

Marcoakira/Desafios_Python_do_Curso_Guanabara

c49b774148a2232f8f3c21b83e3dc97610480757

[ "MIT" ]

null

Mundo2/Desafio039.py

Marcoakira/Desafios_Python_do_Curso_Guanabara

c49b774148a2232f8f3c21b83e3dc97610480757

[ "MIT" ]

null

import datetime datenasc = int(input(f'insert you date of bit ')) atualdate = str(datetime.date.today())[0:4] datestr = int(atualdate) datefinal = datestr - datenasc print(datefinal) if datefinal < 18: print(f'voce esta com {datefinal}Faltam {18-datefinal} pra você se alistar ao exercito hahahah' ) elif datefinal =...

41

101

0.728223

87

574

4.804598

0.678161

0.043062

0.076555

0.08134

0

0.021053

0.172474

574

13

102

44.153846

0.858947

0

0.534843

0

1

0

false

0

0.076923

0

0.076923

0.307692

0

null

0

null

0

1

0

1296f3adb86af7c4bde450922af6cd40c775ef6d

6,872

py

Python

test/test_sysroot_compiler.py

prajakta-gokhale/cross_compile

cbdc94ed5b25d6fc336aa5c0faa2838d9ce61db4

[ "Apache-2.0" ]

null

test/test_sysroot_compiler.py

prajakta-gokhale/cross_compile

cbdc94ed5b25d6fc336aa5c0faa2838d9ce61db4

[ "Apache-2.0" ]

null

test/test_sysroot_compiler.py

prajakta-gokhale/cross_compile

cbdc94ed5b25d6fc336aa5c0faa2838d9ce61db4

[ "Apache-2.0" ]

null

# Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless require...

37.551913

88

0.721478

852

6,872

5.550469

0.247653

0.038063

0.057517

0.079086

0.417424

0.378938

0.254811

0.188835

0.150349

0.090928

0

0.016183

0.17273

6,872

182

89

37.758242

0.815655

0.194703

0

0.213675

0

0.198461

0.083746

0

0.068376

1

0.08547

false

0.017094

0.08547

0.025641

0.205128

0

null

0

null

0

1

0

1297e5fb738245835e074daab17948395423d0ba

2,083

py

Python

estimate.py

farr/galmassproxy

f4a1c7acc19d130a6f57030bceef03c993a7170c

[ "MIT" ]

null

estimate.py

farr/galmassproxy

f4a1c7acc19d130a6f57030bceef03c993a7170c

[ "MIT" ]

null

estimate.py

farr/galmassproxy

f4a1c7acc19d130a6f57030bceef03c993a7170c

[ "MIT" ]

null

#!/usr/bin/env python r"""estimate.py Use to estimate masses based on observed proxy values (and associated errors) from a pre-calibrated generative model for the mass-proxy relationship. The estimates will be returned as samples (fair draws) from the model's posterior on the mass given the proxy observation. This p...

30.632353

106

0.683629

313

2,083

4.447284

0.460064

0.011494

0.036638

0.031609

0

0.011303

0.192991

2,083

67

107

31.089552

0.816776

0.320211

0

0.114347

0

1

0

false

0

0.205882

0

0.205882

0

null

0

null

0

1

0

129b2012dab2f92bc6a116945f46ccc5481200f2

562

py

Python

telemetry_f1_2021/generate_dataset.py

jasperan/f1-telemetry-oracle

5b2d7efac265539931849863655a5f92d86c75a8

[ "MIT" ]

4

2022-02-21T16:36:09.000Z

2022-03-28T06:50:54.000Z

telemetry_f1_2021/generate_dataset.py

jasperan/f1-telemetry-oracle

5b2d7efac265539931849863655a5f92d86c75a8

[ "MIT" ]

null

telemetry_f1_2021/generate_dataset.py

jasperan/f1-telemetry-oracle

5b2d7efac265539931849863655a5f92d86c75a8

[ "MIT" ]

2

2022-02-17T19:25:04.000Z

2022-02-23T04:16:16.000Z

import cx_Oracle from oracledb import OracleJSONDatabaseConnection import json jsondb = OracleJSONDatabaseConnection() connection = jsondb.get_connection() connection.autocommit = True soda = connection.getSodaDatabase() x_collection = soda.createCollection('f1_2021_weather') all_data = list() for doc in x_collect...

24.434783

55

0.765125

69

562

6.086957

0.652174

0.066667

0

0.012048

0.113879

562

23

56

24.434783

0.831325

0

0.076377

0

1

0

false

0

0.1875

0

0.1875

0.0625

0

null

0

null

0

1

0

129b447d8e3a2e21029c717a45661b4dd2311adc

8,257

py

Python

UserPage.py

muath22/BookStore

db5b30e540de311931b234e71937ace3db9750c8

[ "MIT" ]

9

2018-09-13T10:43:34.000Z

2021-05-05T08:51:52.000Z

UserPage.py

muath22/BookStore

db5b30e540de311931b234e71937ace3db9750c8

[ "MIT" ]

4

2018-09-13T10:09:32.000Z

2021-03-20T00:03:10.000Z

UserPage.py

muath22/BookStore

db5b30e540de311931b234e71937ace3db9750c8

[ "MIT" ]

5

2020-02-26T13:54:03.000Z

2021-01-06T09:38:56.000Z

from Tkinter import * import ttk import BuyBook import BookInformationPage import Message class UserPage(object): def __init__(self, root, color, font, dbConnection, userInfo): for child in root.winfo_children(): child.destroy() self.root = root self.color = color sel...

32.128405

84

0.592588

937

8,257

5.104589

0.165422

0.070249

0.02927

0.027807

0.521848

0.458708

0.438219

0.413966

0.358143

0.256324

0

0.016195

0.289572

8,257

256

85

32.253906

0.799182

0.01744

0

0.415385

0

0.034032

0

1

0.066667

false

0

0.025641

0

0.117949

0

null

0

null

0

1

0

129b4ea5990948782bef80ca4f25a0a104636e5b

775

py

Python

migrations/versions/1b57e397deea_initial_migration.py

sicness9/BugHub

2af45b0840757f7826927d4fefc0e626fef136e1

[ "FTL" ]

null

migrations/versions/1b57e397deea_initial_migration.py

sicness9/BugHub

2af45b0840757f7826927d4fefc0e626fef136e1

[ "FTL" ]

null

migrations/versions/1b57e397deea_initial_migration.py

sicness9/BugHub

2af45b0840757f7826927d4fefc0e626fef136e1

[ "FTL" ]

null

"""initial migration Revision ID: 1b57e397deea Revises: Create Date: 2021-12-20 20:57:14.696646 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = '1b57e397deea' down_revision = None branch_labels = None depends_on = None def upgrade(): # ### commands auto ...

25

70

0.676129

97

775

5.268041

0.515464

0.07045

0.082192

0.09002

0.422701

0.320939

0.172211

0

0.049767

0.170323

775

30

71

25.833333

0.744946

0.370323

0

0.166667

0

0.177384

0

1

0.166667

false

0

0.166667

0

0.333333

0

null

0

null

0

1

0

129b54403eb231e9102fbf7abe8cda7f3996ce5b

5,596

py

Python

app/utility/base_planning_svc.py

scottctaylor12/caldera

4e81aaaf0ed592232a0474dda36ea2fd505da0de

[ "Apache-2.0" ]

null

app/utility/base_planning_svc.py

scottctaylor12/caldera

4e81aaaf0ed592232a0474dda36ea2fd505da0de

[ "Apache-2.0" ]

null

app/utility/base_planning_svc.py

scottctaylor12/caldera

4e81aaaf0ed592232a0474dda36ea2fd505da0de

[ "Apache-2.0" ]

null

import copy import itertools import re from base64 import b64decode from app.utility.base_service import BaseService from app.utility.rule import RuleSet class BasePlanningService(BaseService): async def trim_links(self, operation, links, agent): """ Trim links in supplied list. Where 'trim' ent...

38.593103

103

0.606862

661

5,596

4.992436

0.229955

0.021818

0.030303

0.008485

0.243636

0.171515

0.128788

0.015758

0

0.00258

0.307362

5,596

144

104

38.861111

0.848813

0

0.172414

0

0.018039

0

1

0.011494

false

0

0.068966

0.011494

0.218391

0

null

0

null

0

1

0

129c738a3288c017144786e45c751a99bdb4acea

2,939

py

Python

tools/gen_histograms.py

mistajuliax/pbrt-v3-IILE

afda605d92517d2396e494d81465ead22d0c25e1

[ "BSD-2-Clause" ]

16

2018-10-12T15:29:22.000Z

2022-03-16T11:24:10.000Z

tools/gen_histograms.py

mistajuliax/pbrt-v3-IILE

afda605d92517d2396e494d81465ead22d0c25e1

[ "BSD-2-Clause" ]

16

2018-02-02T11:49:36.000Z

2018-04-21T09:07:08.000Z

tools/gen_histograms.py

giuliojiang/pbrt-v3-IISPT

b9be01096293ab0f50b14b9043556c93ff9e07ec

[ "BSD-2-Clause" ]

2

2018-12-12T08:49:43.000Z

2019-12-03T12:20:04.000Z

import os rootdir = os.path.abspath(os.path.join(__file__, "..", "..")) mldir = os.path.join(rootdir, "ml") import sys sys.path.append(mldir) import pfm import iispt_transforms import math import plotly import plotly.plotly as py import plotly.graph_objs as go # ====================================================...

25.780702

79

0.555971

353

2,939

4.526912

0.351275

0.043805

0.018773

0.026283

0.080726

0.046308

0

0.012393

0.286152

2,939

114

80

25.780702

0.749285

0.146308

0

0.0625

0

0.05649

0.021234

0

1

0.0125

false

0

0.1

0

0.1125

0.025

0

null

0

null

0

1

0

129ced52ad5bddf6d93136148de2d32cf2de02ec

4,762

py

Python

crownstone_uart/core/uart/UartBridge.py

RicArch97/crownstone-lib-python-uart

c0aaf1415936e5e622aa6395fdac4f88ebcf82bf

[ "MIT" ]

null

crownstone_uart/core/uart/UartBridge.py

RicArch97/crownstone-lib-python-uart

c0aaf1415936e5e622aa6395fdac4f88ebcf82bf

[ "MIT" ]

null

crownstone_uart/core/uart/UartBridge.py

RicArch97/crownstone-lib-python-uart

c0aaf1415936e5e622aa6395fdac4f88ebcf82bf

[ "MIT" ]

null

import logging import sys import threading import serial import serial.tools.list_ports from crownstone_uart.Constants import UART_READ_TIMEOUT, UART_WRITE_TIMEOUT from crownstone_uart.core.UartEventBus import UartEventBus from crownstone_uart.core.uart.UartParser import UartParser from crownstone_uart.core.uart.Uart...

40.355932

144

0.640277

473

4,762

6.338266

0.287526

0.106738

0.065377

0.070047

0.203469

0.122749

0.092728

0

0.002625

0.279924

4,762

117

145

40.700855

0.871683

0.057119

0

0.175824

0

0.099688

0

1

0.076923

false

0

0.10989

0

0.197802

0

null

0

null

0

1

0

129f44f6dc7578a9b45f3abd7e3b50f1fe3a4274

1,999

py

Python

examples/client-example.py

pkalemba/python-warp10client

25a9b446a217066a7d6c39aeb7d19d1be93a7688

[ "BSD-3-Clause" ]

8

2017-11-20T13:31:58.000Z

2021-07-13T08:34:52.000Z

examples/client-example.py

pkalemba/python-warp10client

25a9b446a217066a7d6c39aeb7d19d1be93a7688

[ "BSD-3-Clause" ]

2

2017-11-20T21:16:16.000Z

2017-12-11T13:56:44.000Z

examples/client-example.py

regel/python-warp10client

bee380513d899ae7c55a26e43a8914f8c29b5279

[ "BSD-3-Clause" ]

4

2017-11-21T07:51:01.000Z

2020-04-07T12:03:23.000Z

#! /usr/bin/env python # -*- coding: utf-8 -*- import daiquiri from time import time import warp10client LOG = daiquiri.getLogger(__name__) warp10_api_url = '' # Add here backend url where metrics are stored read_token = '' # Add here your metrics read token write_token = '' # Add here your metrics write token #...

24.9875

79

0.64032

230

1,999

5.391304

0.434783

0.029032

0.053226

0.327419

0.278226

0.228226

0

0.151244

0.216108

1,999

79

80

25.303797

0.640077

0.263132

0

0.203704

0

0.341564

0.17284

0

1

0

false

0

0.055556

0

0.055556

0

null

0

null

0

1

0

12a0170295fb80e383d69995765e135510da8362

3,094

py

Python

ports/stm32/boards/NUCLEO_WB55/rfcore_makefirmware.py

H-Grobben/micropython

fce96b11f3ff444c1ac24501db465dbe9e5902bf

[ "MIT" ]

null

ports/stm32/boards/NUCLEO_WB55/rfcore_makefirmware.py

H-Grobben/micropython

fce96b11f3ff444c1ac24501db465dbe9e5902bf

[ "MIT" ]

null

ports/stm32/boards/NUCLEO_WB55/rfcore_makefirmware.py

H-Grobben/micropython

fce96b11f3ff444c1ac24501db465dbe9e5902bf

[ "MIT" ]

null

#!/usr/bin/env python3 # # This file is part of the MicroPython project, http://micropython.org/ # # The MIT License (MIT) # # Copyright (c) 2020 Jim Mussared # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal ...

38.675

184

0.671946

449

3,094

4.501114

0.463252

0.043543

0.012865

0.010886

0

0.021674

0.239496

3,094

79

185

39.164557

0.837229

0.479315

0

0.05

0

0.05

0.28716

0.034788

0

0.006958

0

1

0.025

false

0

0.075

0

0.1

0.15

0

null

0

null

0

1

0

12a080db56a168dea64d817c232a427dfdd87858

1,081

py

Python

universal/spiders/universalSpider.py

universalscraper/universal-spider

0b6d82ee0c749cf32dcf501e6d84f518ee2e8437

[ "MIT" ]

2

2017-01-14T20:09:24.000Z

2019-09-23T09:26:23.000Z

universal/spiders/universalSpider.py

scraperize/universal-spider

0b6d82ee0c749cf32dcf501e6d84f518ee2e8437

[ "MIT" ]

null

universal/spiders/universalSpider.py

scraperize/universal-spider

0b6d82ee0c749cf32dcf501e6d84f518ee2e8437

[ "MIT" ]

null

import scrapy import yaml class universalSpider(scrapy.Spider): name = "universal" parameters = None def __init__(self, *args, **kwargs): worker = kwargs.get("worker") if not worker: exit("You must specify worker name : -a worker=name") self.parameters = yaml.load(f...

29.216216

130

0.60592

116

1,081

5.551724

0.465517

0.195652

0.074534

0

0.255319

1,081

36

131

30.027778

0.8

0

0.130435

0

1

0.086957

false

0

0.086957

0

0.304348

0

null

0

null

0

1

0

12a0f3a1d45fe59fa067cf5c06c3bffbb58f6bd1

11,715

py

Python

environments/IPP_BO_Ypacarai.py

FedePeralta/ASVs_Deep_Reinforcement_Learning_with_CNNs

23b9b181499a4b06f2ca2951c002359c1959e727

[ "MIT" ]

null

environments/IPP_BO_Ypacarai.py

FedePeralta/ASVs_Deep_Reinforcement_Learning_with_CNNs

23b9b181499a4b06f2ca2951c002359c1959e727

[ "MIT" ]

null

environments/IPP_BO_Ypacarai.py

FedePeralta/ASVs_Deep_Reinforcement_Learning_with_CNNs

23b9b181499a4b06f2ca2951c002359c1959e727

[ "MIT" ]

null

import warnings import gym import matplotlib.pyplot as plt import numpy as np from skopt.acquisition import gaussian_ei from environments.groundtruthgenerator import GroundTruth warnings.simplefilter("ignore", UserWarning) from skopt.learning.gaussian_process import gpr, kernels class ContinuousBO(gym.Env): en...

38.284314

120

0.626376

1,562

11,715

4.552497

0.233675

0.02025

0.025313

0.014344

0.2108

0.170018

0.14583

0.133455

0.122205

0

0.019365

0.26385

11,715

305

121

38.409836

0.805195

0.28758

0

0.164557

0

0.02432

0

0.003279

0

1

0.063291

false

0

0.050633

0.006329

0.164557

0.025316

0

null

0

null

0

1

0

12a151b9a4e765ed24ceecf3aa9bec0771ac3589

5,281

py

Python

utils/metrics.py

0b3d/Image-Map-Embeddings

a9fc65ac92094bcfcd0f19a3604f0b9d8bd3174f

[ "MIT" ]

2

2022-02-11T06:05:35.000Z

2022-03-14T02:10:31.000Z

utils/metrics.py

0b3d/Image-Map-Embeddings

a9fc65ac92094bcfcd0f19a3604f0b9d8bd3174f

[ "MIT" ]

null

utils/metrics.py

0b3d/Image-Map-Embeddings

a9fc65ac92094bcfcd0f19a3604f0b9d8bd3174f

[ "MIT" ]

null

import numpy as np from sklearn.metrics import pairwise_distances import matplotlib.pyplot as plt class NumpyMetrics(): def __init__(self, metric='euclidean'): self.metric = metric def rank(self, x,y, x_labels, y_labels): distances = pairwise_distances(x,y,self.metric) batch_size = x_...

51.271845

166

0.667487

766

5,281

4.398172

0.189295

0.045711

0.026121

0.045711

0.560107

0.52805

0.52152

0.478777

0.429801

0

0.012033

0.228934

5,281

103

167

51.271845

0.815324

0.229502

0

0.364865

0

0.016389

0

1

0.135135

false

0

0.040541

0

0.283784

0.027027

0

null

0

null

0

1

0

12a383eaf645019cefa1dc9f3842290ed2752e23

1,999

py

Python

setup.py

ljdursi/mergevcf

b400385936417c6e517d3c7daec8b9ca6389c51f

[ "MIT" ]

25

2015-06-22T15:30:32.000Z

2021-05-13T14:59:18.000Z

setup.py

ljdursi/mergevcf

b400385936417c6e517d3c7daec8b9ca6389c51f

[ "MIT" ]

7

2015-08-14T11:20:35.000Z

2021-05-18T17:48:38.000Z

setup.py

ljdursi/mergevcf

b400385936417c6e517d3c7daec8b9ca6389c51f

[ "MIT" ]

6

2017-04-17T18:35:43.000Z

2018-05-15T21:47:13.000Z

# based on https://github.com/pypa/sampleproject from setuptools import setup, find_packages from codecs import open from os import path here = path.abspath(path.dirname(__file__)) # Get the long description from the relevant file with open(path.join(here, 'DESCRIPTION.rst'), encoding='utf-8') as f: long_descript...

26.653333

85

0.617309

230

1,999

5.291304

0.582609

0.124897

0.164339

0.085456

0.044371

0

0.015884

0.244122

1,999

74

86

27.013514

0.789543

0.308154

0

0.051282

0

0.409224

0.050512

0

1

0

false

0

0.076923

0

0.076923

0

null

0

null

0

1

0

12a754908091d00ea075e8ffe5d6a23ed6d1b3e0

4,761

py

Python

netforce_mfg/netforce_mfg/models/barcode_qc.py

nfco/netforce

35252eecd0a6633ab9d82162e9e3ff57d4da029a

[ "MIT" ]

27

2015-09-30T23:53:30.000Z

2021-06-07T04:56:25.000Z

netforce_mfg/netforce_mfg/models/barcode_qc.py

nfco/netforce

35252eecd0a6633ab9d82162e9e3ff57d4da029a

[ "MIT" ]

191

2015-10-08T11:46:30.000Z

2019-11-14T02:24:36.000Z

netforce_mfg/netforce_mfg/models/barcode_qc.py

nfco/netforce

35252eecd0a6633ab9d82162e9e3ff57d4da029a

[ "MIT" ]

32

2015-10-01T03:59:43.000Z

2022-01-13T07:31:05.000Z

# Copyright (c) 2012-2015 Netforce Co. Ltd. # # 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, publ...

40.008403

122

0.603025

599

4,761

4.626043

0.292154

0.028149

0.023457

0.023096

0.174666

0.147961

0.113316

0

0.004082

0.279563

4,761

118

123

40.347458

0.80379

0.223693

0

0.21978

0

0.201578

0

1

0.043956

false

0.010989

0.021978

0

0.164835

0

null

0

null

0

1

0

12a8abd596e75426da116460419af8dc9c55b01d

1,506

py

Python

models/universal_sentence_encoder_multilingual_qa/v1/utils.py

rhangelxs/russian_embeddings

64821cdff03ff97752b6c80621bedf9e2227a0ba

[ "MIT" ]

null

models/universal_sentence_encoder_multilingual_qa/v1/utils.py

rhangelxs/russian_embeddings

64821cdff03ff97752b6c80621bedf9e2227a0ba

[ "MIT" ]

5

2020-09-26T00:18:44.000Z

2022-02-10T00:22:42.000Z

models/universal_sentence_encoder_multilingual_qa/v1/utils.py

rhangelxs/russian_embeddings

64821cdff03ff97752b6c80621bedf9e2227a0ba

[ "MIT" ]

null

import numpy import tensorflow as tf import tensorflow_hub as hub import tf_sentencepiece class EmbeddingWrapper: def __init__(self): module_url = "https://tfhub.dev/google/universal-sentence-encoder-multilingual-qa/1" # Set up graph. g = tf.Graph() with g.as_default(): ...

36.731707

109

0.592961

161

1,506

5.397516

0.378882

0.069045

0.06214

0.069045

0.139241

0.098964

0

0.002857

0.302789

1,506

40

110

37.65

0.824762

0.057105

0

0.084926

0

1

0.060606

false

0

0.121212

0

0.242424

0

null

0

null

0

1

0

12a970b715888d87283271740bd7a109a0ea7f3e

921

py

Python

jade/extensions/demo/create_merge_pred_gdp.py

jgu2/jade

e643830be89a7df74a82065400b2e82f6b181ec8

[ "BSD-3-Clause" ]

15

2021-05-15T21:58:26.000Z

2022-03-17T08:26:48.000Z

jade/extensions/demo/create_merge_pred_gdp.py

jgu2/jade

e643830be89a7df74a82065400b2e82f6b181ec8

[ "BSD-3-Clause" ]

22

2021-02-04T20:02:33.000Z

2021-09-14T13:29:30.000Z

jade/extensions/demo/create_merge_pred_gdp.py

jgu2/jade

e643830be89a7df74a82065400b2e82f6b181ec8

[ "BSD-3-Clause" ]

3

2021-01-11T15:11:31.000Z

2021-06-07T17:36:51.000Z

#!/usr/bin/env python """Creates the JADE configuration for stage 2 of the demo pipeline.""" import os import sys from jade.models import PipelineConfig from jade.utils.subprocess_manager import run_command from jade.utils.utils import load_data PRED_GDP_COMMANDS_FILE = "pred_gdp_commands.txt" def main(): con...

27.909091

81

0.733985

136

921

4.661765

0.463235

0.055205

0.094637

0.059937

0

0.005168

0.159609

921

32

82

28.78125

0.813953

0.092291

0

0.263855

0.154217

0

1

0.05

false

0

0.25

0

0.3

0

null

0

null

0

1

0

12aab253143e67156c54f44e65c0b36caa2ab283

2,631

py

Python

fact/time.py

mackaiver/slowREST

8ae07d8657164abe83f071216b6e9d00a57ae705

[ "MIT" ]

1

2015-03-03T08:07:52.000Z

fact/time.py

mackaiver/slowREST

8ae07d8657164abe83f071216b6e9d00a57ae705

[ "MIT" ]

null

fact/time.py

mackaiver/slowREST

8ae07d8657164abe83f071216b6e9d00a57ae705

[ "MIT" ]

null

from __future__ import print_function __author__ = 'dneise, mnoethe' """ This file contains some functions to deal with FACT modified modified julian date The time used most of the time in FACT is the number of days since 01.01.1970 So this time is related to unix time, since it has the same offset (unix time is th...

28.912088

85

0.708476

390

2,631

4.666667

0.371795

0.105495

0.035714

0.034615

0.114286

0.108791

0.08022

0

0.043726

0.200304

2,631

90

86

29.233333

0.821293

0.1832

0

0.205882

0

0.11731

0

1

0.176471

false

0

0.205882

0

0.558824

0.058824

0

null

0

null

0

1

0

12b0f94ae97150323ed0af8a6fe2aba3cc7d3f40

445

py

Python

7.py

flpcan/project_euler

2cabb0a51c70b0b6e145328f3e3c55de41ac2854

[ "CC0-1.0" ]

null

7.py

flpcan/project_euler

2cabb0a51c70b0b6e145328f3e3c55de41ac2854

[ "CC0-1.0" ]

null

7.py

flpcan/project_euler

2cabb0a51c70b0b6e145328f3e3c55de41ac2854

[ "CC0-1.0" ]

null

# By listing the first six prime numbers: 2, 3, 5, 7, 11, and 13, we can see that the 6th prime is 13. # # What is the 10 001st prime number? primes = [] for i in range(2, 100): if len(primes) == 10001: break x = list(map(lambda y: i % y == 0, range(2,i))) if sum(x) == False: primes.a...

18.541667

102

0.546067

79

445

3.075949

0.56962

0.074074

0.065844

0.115226

0.205761

0

0.094937

0.289888

445

23

103

19.347826

0.674051

0.411236

0

0.019608

0

1

0

false

0

0.222222

0

null

0

null

0

1

0

12b14a676fba1294e88631fcf085323cedbf845c

5,707

py

Python

src/plot_scripts/plot_sigcomm_bars_cellular.py

zxxia/RL-CC

d3d3be0097d69ee07b06363ad531cf2479029d74

[ "Apache-2.0" ]

null

src/plot_scripts/plot_sigcomm_bars_cellular.py

zxxia/RL-CC

d3d3be0097d69ee07b06363ad531cf2479029d74

[ "Apache-2.0" ]

null

src/plot_scripts/plot_sigcomm_bars_cellular.py

zxxia/RL-CC

d3d3be0097d69ee07b06363ad531cf2479029d74

[ "Apache-2.0" ]

null

import os import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt SAVE_ROOT = '../../figs_sigcomm22' plt.style.use('seaborn-deep') plt.rcParams['font.family'] = 'Arial' # plt.rcParams['font.size'] = 42 # plt.rcParams['axes.labelsize'] = 42 # plt.rcParams['legend.fontsize'] = 42 # plt.rcParams['figure...

41.963235

118

0.65884

904

5,707

3.928097

0.277655

0.049282

0.024782

0.01577

0.277387

0.22726

0.211771

0.190932

0.189242

0

0.085999

0.17277

5,707

135

119

42.274074

0.666172

0.112493

0

0.09009

0

0.130504

0.030543

0

1

0.018018

false

0

0.027027

0

0.045045

0

null

0

null

0

1

0

12b2fe22c669ef8f586778fb7af3dd29059295d7

4,702

py

Python

scope/client_util/job_runner_check.py

drew-sinha/rpc-scope

268864097b5b7d123a842f216adc446ec6b32d01

[ "MIT" ]

1

2017-11-10T17:23:11.000Z

scope/client_util/job_runner_check.py

drew-sinha/rpc-scope

268864097b5b7d123a842f216adc446ec6b32d01

[ "MIT" ]

5

2018-08-01T03:05:35.000Z

2018-11-29T22:11:25.000Z

scope/client_util/job_runner_check.py

drew-sinha/rpc-scope

268864097b5b7d123a842f216adc446ec6b32d01

[ "MIT" ]

3

2016-05-25T18:58:35.000Z

2018-11-29T23:40:45.000Z

# -*- coding: utf-8 -*- # This code is licensed under the MIT License (see LICENSE file for details) import platform import datetime import sys import pathlib import subprocess import time from .. import scope_job_runner from ..config import scope_configuration def main(): if len(sys.argv) == 2 and sys.argv[1] =...

38.227642

113

0.701616

671

4,702

4.724292

0.28763

0.051104

0.039748

0.015142

0.140063

0.078233

0.041009

0

0.005042

0.198639

4,702

122

114

38.540984

0.836253

0.128456

0

0.178947

0

0.021053

0.298628

0.032582

0

1

0.052632

false

0

0.084211

0

0.157895

0.052632

0

null

0

null

0

1

0

12b402f977b10f55535c5a3654e5fda7b7dcf072

2,222

py

Python

toffy/json_utils.py

angelolab/toffy

4d6c50fe0dfbf1568ee3f9db2182a04dc9ac85c6

[ "Apache-2.0" ]

null

toffy/json_utils.py

angelolab/toffy

4d6c50fe0dfbf1568ee3f9db2182a04dc9ac85c6

[ "Apache-2.0" ]

46

2022-01-26T18:21:21.000Z

2022-03-30T19:19:12.000Z

toffy/json_utils.py

angelolab/creed-helper

4d6c50fe0dfbf1568ee3f9db2182a04dc9ac85c6

[ "Apache-2.0" ]

null

import copy import json import os from ark.utils import io_utils def rename_missing_fovs(fov_data): """Identify FOVs that are missing the 'name' key and create one with value placeholder_{n} Args: fov_data (dict): the FOV run JSON data Returns: dict: a copy of the run JSON data with plac...

26.771084

94

0.629613

332

2,222

4.048193

0.286145

0.046875

0.040923

0.044643

0.077381

0.041667

0

0.004351

0.275878

2,222

82

95

27.097561

0.830951

0.415842

0

0.103306

0.022314

0

1

0.09375

false

0

0.125

0

0.3125

0

null

0

null

0

1

0

12b6971b8aff245d6004cadaa44e2d26223997e6

545

py

Python

app/plugins/task/upload.py

venturiscm/hcp

74ad18180822301274daa9218d7bd9fbdb7807f7

[ "Apache-2.0" ]

1

2020-06-22T21:25:52.000Z

app/plugins/task/upload.py

venturiscm/hcp

74ad18180822301274daa9218d7bd9fbdb7807f7

[ "Apache-2.0" ]

1

2020-05-21T02:46:24.000Z

2020-05-25T07:19:23.000Z

app/plugins/task/upload.py

venturiscm/hcp

74ad18180822301274daa9218d7bd9fbdb7807f7

[ "Apache-2.0" ]

null

from systems.plugins.index import BaseProvider import os class Provider(BaseProvider('task', 'upload')): def execute(self, results, params): file_path = self.get_path(self.field_file) if not os.path.exists(file_path): self.command.error("Upload task provider file {} does not exist"....

27.25

95

0.640367

70

545

4.8

0.471429

0.133929

0.107143

0

0.256881

545

19

96

28.684211

0.82963

0

0.097248

0

1

0.076923

false

0

0.153846

0

0.307692

0

null

0

null

0

1

0

12b73e722a7a33f56b3403eba3f5dbfb5e5538e6

2,955

py

Python

win_dein_deoplete/.vim/.cache/.vimrc/.dein/rplugin/python3/denite/source/outline.py

takkii/dotfile

7daf848c718ee10603a68a6e37a1002a827ec72f

[ "MIT" ]

1

2018-10-11T21:31:43.000Z

win_dein_deoplete/.vim/.cache/.vimrc/.dein/rplugin/python3/denite/source/outline.py

takkii/dotfile

7daf848c718ee10603a68a6e37a1002a827ec72f

[ "MIT" ]

null

win_dein_deoplete/.vim/.cache/.vimrc/.dein/rplugin/python3/denite/source/outline.py

takkii/dotfile

7daf848c718ee10603a68a6e37a1002a827ec72f

[ "MIT" ]

null

# ============================================================================ # FILE: outline.py # AUTHOR: Yasumasa Tamura (tamura.yasumasa _at_ gmail.com) # License: MIT license # ============================================================================ from .base import Base from subprocess import check_output, ...

35.60241

78

0.457868

274

2,955

4.79927

0.379562

0.042586

0.036502

0.030418

0.045627

0

0.005157

0.343824

2,955

82

79

36.036585

0.673027

0.083926

0

0.030303

0

0.163273

0

1

0.060606

false

0

0.075758

0

0.181818

0.015152

0

null

0

null

0

1

0

12b904baad9cd10c3b5e703a970ce798e635e1b7

372

py

Python

Python/01. Fundamentals/01. Simple Calculators/08. Temperature Converter/tempCoverter.py

darioGerussi/exercises

414a3867d4db9449e402c58efd993153f55b91eb

[ "MIT" ]

1

2022-03-31T01:57:55.000Z

Python/01. Fundamentals/01. Simple Calculators/08. Temperature Converter/tempCoverter.py

darioGerussi/exercises

414a3867d4db9449e402c58efd993153f55b91eb

[ "MIT" ]

null

Python/01. Fundamentals/01. Simple Calculators/08. Temperature Converter/tempCoverter.py

darioGerussi/exercises

414a3867d4db9449e402c58efd993153f55b91eb

[ "MIT" ]

null

# Converts a given temperature from Celsius to Fahrenheit # Prompt user for Celsius temperature degreesCelsius = float(input('\nEnter the temperature in Celsius: ')) # Calculate and display the converted # temperature in Fahrenheit degreesFahrenheit = ((9.0 / 5.0) * degreesCelsius) + 32 print('Fahrenheit equivalent:...

37.2

81

0.744624

44

372

6.295455

0.727273

0.093863

0

0.021807

0.137097

372

10

81

37.2

0.841122

0.41129

0

0.302326

0

1

0

false

0

0.333333

0

null

0

null

0

1

0

12ba24dffd7a4983b46d43a9846f2ca9b1d6059e

4,214

py

Python

tests/sentry/api/serializers/test_alert_rule.py

kinghuang/sentry

5c22673994a62f54a782d1c595852986ccc51ae9

[ "BSD-3-Clause" ]

1

2019-10-17T17:46:16.000Z

tests/sentry/api/serializers/test_alert_rule.py

kinghuang/sentry

5c22673994a62f54a782d1c595852986ccc51ae9

[ "BSD-3-Clause" ]

null

tests/sentry/api/serializers/test_alert_rule.py

kinghuang/sentry

5c22673994a62f54a782d1c595852986ccc51ae9

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- from __future__ import absolute_import import six from sentry.api.serializers import serialize from sentry.api.serializers.models.alert_rule import DetailedAlertRuleSerializer from sentry.incidents.logic import create_alert_rule, create_alert_rule_trigger from sentry.incidents.models import A...

45.311828

100

0.701709

450

4,214

6.315556

0.197778

0.17734

0.063336

0.046798

0.506334

0.461999

0.425405

0.391626

0

0.006811

0.198624

4,214

92

101

45.804348

0.834765

0.004983

0

0.320513

0

0.068719

0

0.384615

1

0.076923

false

0

0.102564

0

0.217949

0

null

0

null

0

1

0

12bae8e939e905a92184b3c60e3fd70c58c999c2

1,003

py

Python

mys/cli/subparsers/test.py

nsauzede/mys

5f5db80b25e44e3ab9c4b97cb9a0fd6fa3fc0267

[ "MIT" ]

null

mys/cli/subparsers/test.py

nsauzede/mys

5f5db80b25e44e3ab9c4b97cb9a0fd6fa3fc0267

[ "MIT" ]

null

mys/cli/subparsers/test.py

nsauzede/mys

5f5db80b25e44e3ab9c4b97cb9a0fd6fa3fc0267

[ "MIT" ]

null

import os from ..utils import add_jobs_argument from ..utils import add_no_ccache_argument from ..utils import add_optimize_argument from ..utils import add_verbose_argument from ..utils import build_prepare from ..utils import run def do_test(_parser, args, _mys_config): build_prepare(args.verbose, args.optimiz...

27.108108

62

0.698903

129

1,003

5.20155

0.348837

0.080477

0.134128

0.107303

0.116244

0

0.179462

1,003

36

63

27.861111

0.81531

0

0.133599

0.022931

0

1

0.074074

false

0

0.259259

0

0.333333

0

null

0

null

0

1

0

12bedc5672fe578c7205936e96d0685f45374da0

16,945

py

Python

training/loss.py

drboog/Lafite

10e109b9f46646ab793e0a5f38386af3012e9636

[ "MIT" ]

45

2022-03-10T23:49:44.000Z

2022-03-31T21:47:45.000Z

training/loss.py

drboog/Lafite

10e109b9f46646ab793e0a5f38386af3012e9636

[ "MIT" ]

7

2022-03-13T15:13:18.000Z

2022-03-31T16:57:38.000Z

training/loss.py

drboog/Lafite

10e109b9f46646ab793e0a5f38386af3012e9636

[ "MIT" ]

8

2022-03-10T23:49:29.000Z

2022-03-31T18:20:17.000Z

import numpy as np import torch from torch_utils import training_stats from torch_utils import misc from torch_utils.ops import conv2d_gradfix import torch.nn.functional as F import torchvision.transforms as T import clip import dnnlib import random #--------------------------------------------------------------------...

50.281899

190

0.5928

2,305

16,945

4.064642

0.14013

0.024336

0.014409

0.029459

0.435159

0.370691

0.302487

0.248372

0.182837

0.173124

0

0.028865

0.282384

16,945

336

191

50.431548

0.741612

0.11195

0

0.171206

0

0.028331

0.002133

0

0.002976

0.003891

1

0.050584

false

0

0.038911

0.003891

0.163424

0

null

0

null

0

1

0

12bfd9fea84125596f1417fe60855b47416a33a6

4,203

py

Python

lib/oitool/fetchoi.py

stockalgo/oichart

962c373b34fcef09cc58abcf6e252dd746d413a1

[ "MIT" ]

8

2021-02-05T21:54:26.000Z

2022-03-26T19:44:42.000Z

lib/oitool/fetchoi.py

stockalgo/oichart

962c373b34fcef09cc58abcf6e252dd746d413a1

[ "MIT" ]

3

2021-03-15T18:41:12.000Z

2021-12-18T09:23:47.000Z

lib/oitool/fetchoi.py

stockalgo/oichart

962c373b34fcef09cc58abcf6e252dd746d413a1

[ "MIT" ]

5

2021-03-16T12:28:37.000Z

2021-12-17T17:35:16.000Z

import time import logging from bandl.nse_data import NseData from influxdb import InfluxDBClient class FetchOI: def __init__(self,source=None,influxdb_client=None,database="oitool",log_path=None,logLevel='info'): """[summary] :param source: stock broker :type source: string, optional ...

39.280374

106

0.602665

484

4,203

5.109504

0.32438

0.036393

0.01577

0.014557

0.018601

0

0.006805

0.300738

4,203

106

107

39.650943

0.834638

0.222936

0

0.076923

0

0.107516

0

1

0.076923

false

0

0.061538

0.015385

0.184615

0.015385

0

null

0

null

0

1

0

12c0367fe0f1278ce33a6a9b512ae1509254147d

1,667

py

Python

notebooks/HelperFunctions/RunModel.py

hh2110/continual-ml-stocks

2a2baa330cd418b3cfb7eda8464c6b5b67bc608f

[ "CC0-1.0" ]

null

notebooks/HelperFunctions/RunModel.py

hh2110/continual-ml-stocks

2a2baa330cd418b3cfb7eda8464c6b5b67bc608f

[ "CC0-1.0" ]

null

notebooks/HelperFunctions/RunModel.py

hh2110/continual-ml-stocks

2a2baa330cd418b3cfb7eda8464c6b5b67bc608f

[ "CC0-1.0" ]

null

from sklearn.model_selection import train_test_split from sklearn import metrics from sklearn.metrics import accuracy_score from sklearn.metrics import roc_auc_score import numpy as np import pandas as pd import matplotlib.pyplot as plt def do_ml(merged_df, test_size, ml_model, **kwargs): train_data = merged_df.d...

27.783333

83

0.652669

215

1,667

4.823256

0.423256

0.043394

0.027001

0.046287

0.067502

0

0.007868

0.237552

1,667

59

84

28.254237

0.808025

0.074985

0

0.041775

0

1

0.05

false

0

0.275

0

0.35

0

null

0

null

0

1

0

12c19863b8bc11caf71dfdd9f3bff254268754da

7,299

py

Python

tools/build_defs/pkg/make_rpm.py

jpieper-tri/bazel

eef80048e2c59e3be974144ce9cd90b9f90294fb

[ "Apache-2.0" ]

1

2018-03-27T17:18:20.000Z

tools/build_defs/pkg/make_rpm.py

Corroler/bazel

073ea095a6c6a826ccdbbce1b213de47115e701a

[ "Apache-2.0" ]

2

2018-11-06T01:01:16.000Z

2019-04-10T02:25:49.000Z

tools/build_defs/pkg/make_rpm.py

Corroler/bazel

073ea095a6c6a826ccdbbce1b213de47115e701a

[ "Apache-2.0" ]

null

# Copyright 2017 The Bazel Authors. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable la...

27.43985

80

0.68023

985

7,299

4.941117

0.293401

0.023012

0.02219

0.014794

0.075611

0.054037

0.048079

0.036162

0

0.004025

0.217016

7,299

265

81

27.543396

0.847594

0.271681

0

0.064516

0

0.112308

0

1

0.103226

false

0.006452

0.077419

0.006452

0.296774

0.045161

0

null

0

null

0

1

0

12c1f75f883cd400635b90784e88c06bdf2c4be4

2,739

py

Python

data/datasets/gb_100.py

CharleyZhao123/graceful-few-shot

fae8170158a7a39ead7da40fecd787fea4abcf1a

[ "MIT" ]

1

2021-08-11T12:56:29.000Z

data/datasets/gb_100.py

CharleyZhao123/graceful-few-shot

fae8170158a7a39ead7da40fecd787fea4abcf1a

[ "MIT" ]

null

data/datasets/gb_100.py

CharleyZhao123/graceful-few-shot

fae8170158a7a39ead7da40fecd787fea4abcf1a

[ "MIT" ]

null

import os import pickle import random from torch.utils.data import Dataset from .datasets import dataset_register default_split = { 'train': 0.7, 'val': 0.3, } @dataset_register('gb-100') class GB100(Dataset): def __init__(self, root_path, split='train', split_method='novel', **kwargs): data_fi...

28.831579

91

0.588536

361

2,739

4.124654

0.257618

0.064473

0.036266

0.037609

0.183345

0.149765

0.142377

0.077905

0

0.032393

0.301205

2,739

94

92

29.138298

0.745559

0.058415

0

0.109375

0

0.066225

0.013635

0

1

0.046875

false

0

0.078125

0.015625

0.171875

0.015625

0

null

0

null

0

1

0

12c2d9d6cce98782d3ab5c1e821708313828e9f6

594

py

Python

examples/analyze-outdated.py

duzvik/project-freta

6c96b5d9af98380d695f0ad1c1636021793f30d2

[ "CC-BY-4.0", "MIT" ]

67

2020-07-06T20:18:05.000Z

2022-03-27T15:00:16.000Z

examples/analyze-outdated.py

hhfdserth/project-freta

b552267f87a4f5e4796ece6865232853d62f227c

[ "CC-BY-4.0", "MIT" ]

2

2020-07-06T23:35:47.000Z

2020-07-14T15:22:47.000Z

examples/analyze-outdated.py

hhfdserth/project-freta

b552267f87a4f5e4796ece6865232853d62f227c

[ "CC-BY-4.0", "MIT" ]

21

2020-04-07T22:37:52.000Z

2021-11-10T08:27:38.000Z

#!/usr/bin/env python # # Copyright (c) Microsoft Corporation. # Licensed under the MIT License. # # Re-analyze all images that don't have latest version of the analysis available from freta.api import Freta def main(): freta = Freta() versions = freta.versions() for image in freta.image.list(): ...

23.76

80

0.616162

72

594

4.930556

0.638889

0.073239

0.067606

0

0.252525

594

24

81

24.75

0.79955

0.282828

0

0.188095

0

1

0.076923

false

0

0.076923

0

0.153846

0.076923

0

null

0

null

0

1

0

12c342b7aef5ffeb0a48559a00dc029a6ad70253

4,041

py

Python

utils/utils_fit.py

bubbliiiing/faster-rcnn-keras

aa1eb5e974785646b9fd86bfd269f2b6c12ec0e6

[ "MIT" ]

282

2020-02-25T00:19:28.000Z

2022-03-20T08:14:20.000Z

utils/utils_fit.py

codertcm/faster-rcnn-keras

aa1eb5e974785646b9fd86bfd269f2b6c12ec0e6

[ "MIT" ]

46

2020-02-24T13:17:40.000Z

2022-03-12T00:59:15.000Z

utils/utils_fit.py

codertcm/faster-rcnn-keras

aa1eb5e974785646b9fd86bfd269f2b6c12ec0e6

[ "MIT" ]

123

2020-02-23T09:28:36.000Z

2022-03-16T01:43:46.000Z

import numpy as np import tensorflow as tf from keras import backend as K from tqdm import tqdm def write_log(callback, names, logs, batch_no): for name, value in zip(names, logs): summary = tf.Summary() summary_value = summary.value.add() summary_value.simple_value = value ...

44.406593

153

0.554318

533

4,041

3.909944

0.202627

0.051823

0.046065

0.466411

0.419866

0.407869

0.372361

0

0.020695

0.330364

4,041

90

154

44.9

0.749446

0

0.373333

0

0.067325

0.009112

0

1

0.026667

false

0

0.053333

0

0.08

0.04

0

null

0

null

0

1

0

12c5579947927013c8506c4aecdbaabf5a5bd1d2

319

py

Python

tests/test_extension.py

PeterWurmsdobler/mopidy-vfd

8ae067d37b8670da2a0b9e876257c09ceb222be7

[ "Apache-2.0" ]

null

tests/test_extension.py

PeterWurmsdobler/mopidy-vfd

8ae067d37b8670da2a0b9e876257c09ceb222be7

[ "Apache-2.0" ]

null

tests/test_extension.py

PeterWurmsdobler/mopidy-vfd

8ae067d37b8670da2a0b9e876257c09ceb222be7

[ "Apache-2.0" ]

null

from mopidy_vfd import Extension def test_get_default_config(): ext = Extension() config = ext.get_default_config() assert "[vfd]" in config assert "enabled = true" in config def test_get_config_schema(): ext = Extension() schema = ext.get_config_schema() assert "display" in schema

16.789474

37

0.689655

42

319

4.97619

0.404762

0.066986

0.095694

0

0.219436

319

18

38

17.722222

0.839357

0

0.2

0

0.081505

0

0.3

1

0.2

false

0

0.1

0

0.3

0

null

0

null

0

1

0

12c65927c0458f39714e96cf3347972f4ddf2a65

691

py

Python

onnx_tf/handlers/backend/identity.py

ZemingZhao/onnx-tensorflow

9ab9b934c2c8494b6309d20f15acabcb3abd126d

[ "Apache-2.0" ]

null

onnx_tf/handlers/backend/identity.py

ZemingZhao/onnx-tensorflow

9ab9b934c2c8494b6309d20f15acabcb3abd126d

[ "Apache-2.0" ]

null

onnx_tf/handlers/backend/identity.py

ZemingZhao/onnx-tensorflow

9ab9b934c2c8494b6309d20f15acabcb3abd126d

[ "Apache-2.0" ]

null

import tensorflow as tf from onnx_tf.handlers.backend_handler import BackendHandler from onnx_tf.handlers.handler import onnx_op from onnx_tf.handlers.handler import tf_func @onnx_op("Identity") @tf_func(tf.identity) class Identity(BackendHandler): @classmethod def version_1(cls, node, **kwargs): return [cl...

25.592593

59

0.726483

99

691

4.858586

0.363636

0.08316

0.06237

0.112266

0.440748

0.31185

0

0.010204

0.149059

691

26

60

26.576923

0.807823

0

0.25

0

0.027496

0

1

0.15

false

0

0.2

0.1

0.6

0

null

0

null

0

1

0

12c7cbd02b14e09531a4f5ea52a53834f3434799

6,946

py

Python

contents/MyExperiment/Exp3_test/cluster_env.py

Feng-XiaoYue/Reinforcement-learning-with-tensorflow-master

011594083410f9b2f8e16eb5deed26e730ed849e

[ "MIT" ]

null

contents/MyExperiment/Exp3_test/cluster_env.py

Feng-XiaoYue/Reinforcement-learning-with-tensorflow-master

011594083410f9b2f8e16eb5deed26e730ed849e

[ "MIT" ]

null

contents/MyExperiment/Exp3_test/cluster_env.py

Feng-XiaoYue/Reinforcement-learning-with-tensorflow-master

011594083410f9b2f8e16eb5deed26e730ed849e

[ "MIT" ]

null

import numpy as np import pandas as pd import random import time import sys if sys.version_info.major == 2: import Tkinter as tk else: import tkinter as tk class Cluster(tk.Tk, object): def __init__(self, state_init, server_attribute): super(Cluster, self).__init__() self.action_space = np...

37.144385

145

0.460121

958

6,946

3.222338

0.161795

0.095886

0.124393

0.139942

0.132491

0.080661

0.068351

0.062196

0

0.088214

0.397783

6,946

187

146

37.144385

0.649773

0.286496

0

0.016949

0

0.008475

0.024192

0.023175

0

0.005348

0

1

0.09322

false

0

0.059322

0.008475

0.245763

0

null

0

null

0

1

0

12c7d079f923030d66c22a1b6cf6b9b674f39635

2,589

py

Python

libensemble/tests/regression_tests/test_6-hump_camel_elapsed_time_abort.py

Kardyne/libensemble

566c8f5daafe2ad4deebc13198a1e131e4ce6542

[ "BSD-2-Clause" ]

null

libensemble/tests/regression_tests/test_6-hump_camel_elapsed_time_abort.py

Kardyne/libensemble

566c8f5daafe2ad4deebc13198a1e131e4ce6542

[ "BSD-2-Clause" ]

null

libensemble/tests/regression_tests/test_6-hump_camel_elapsed_time_abort.py

Kardyne/libensemble

566c8f5daafe2ad4deebc13198a1e131e4ce6542

[ "BSD-2-Clause" ]

null

# """ # Runs libEnsemble on the 6-hump camel problem. Documented here: # https://www.sfu.ca/~ssurjano/camel6.html # # Execute via the following command: # mpiexec -np 4 python3 test_6-hump_camel_elapsed_time_abort.py # The number of concurrent evaluations of the objective function will be 4-1=3. # """ from __fut...

34.52

151

0.653148

360

2,589

4.469444

0.455556

0.027968

0.029832

0.027968

0.083282

0.059664

0

0.013972

0.225956

2,589

74

152

34.986486

0.788922

0.3399

0

0.04878

0

0.125966

0.027332

0

0.02439

1

0.02439

false

0

0.219512

0

0.243902

0.146341

0

null

0

null

0

1

0

12c8a53eac5c028a5e825aaa86f201c528a2f671

1,329

py

Python

do_like_javac/tools/graphtools.py

zcai1/do-like-javac

3eb4a43521ae181a9b777a589e477b0c6ab7cb6e

[ "BSD-3-Clause-Clear", "BSD-3-Clause" ]

1

2020-10-10T20:24:08.000Z

do_like_javac/tools/graphtools.py

zcai1/do-like-javac

3eb4a43521ae181a9b777a589e477b0c6ab7cb6e

[ "BSD-3-Clause-Clear", "BSD-3-Clause" ]

13

2019-06-20T23:16:15.000Z

2022-03-26T21:19:20.000Z

do_like_javac/tools/graphtools.py

zcai1/do-like-javac

3eb4a43521ae181a9b777a589e477b0c6ab7cb6e

[ "BSD-3-Clause-Clear", "BSD-3-Clause" ]

5

2016-09-23T00:52:12.000Z

2021-09-08T01:24:36.000Z

import os import argparse from . import common argparser = argparse.ArgumentParser(add_help=False) graph_group = argparser.add_argument_group('graphtool arguments') graph_group.add_argument('--graph-jar', metavar='<graphtool-jar>', action='store',default=None, dest='graph_jar', ...

30.906977

88

0.611738

176

1,329

4.397727

0.4375

0.069767

0.03876

0

0.001012

0.256584

1,329

42

89

31.642857

0.782389

0

0.163281

0.015801

0

1

0.032258

false

0

0.096774

0

0.16129

0.032258

0

null

0

null

0

1

0

12c8ff9bf299511a1712cec875fde79e159c64f4

507

py

Python

boss_grabbing/pipelines.py

shansb/boss_grabbing

20aabd6b2062099eb287d7586dcf619648569ba2

[ "MIT" ]

null

boss_grabbing/pipelines.py

shansb/boss_grabbing

20aabd6b2062099eb287d7586dcf619648569ba2

[ "MIT" ]

null

boss_grabbing/pipelines.py

shansb/boss_grabbing

20aabd6b2062099eb287d7586dcf619648569ba2

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Define your item pipelines here # # Don't forget to add your pipeline to the ITEM_PIPELINES setting # See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html from boss_grabbing.sqlite import Sqlite class BossGrabbingPipeline(object): def process_item(self, item, spider): ...

25.35

65

0.65286

69

507

4.724638

0.681159

0.079755

0

0.010101

0.218935

507

19

66

26.684211

0.813131

0.357002

0

0.05

0

1

0.111111

false

0

0.111111

0

0.444444

0.222222

0

null

0

null

0

1

0

12c9326e60a2f14e4ff7c33d36e504ccc28441b7

2,010

py

Python

src/compas/datastructures/mesh/transformations_numpy.py

arpastrana/compas

ed677a162c14dbe562c82d72f370279259faf7da

[ "MIT" ]

2

2021-03-17T18:14:22.000Z

2021-09-19T13:50:02.000Z

src/compas/datastructures/mesh/transformations_numpy.py

arpastrana/compas

ed677a162c14dbe562c82d72f370279259faf7da

[ "MIT" ]

null

src/compas/datastructures/mesh/transformations_numpy.py

arpastrana/compas

ed677a162c14dbe562c82d72f370279259faf7da

[ "MIT" ]

null

from __future__ import print_function from __future__ import absolute_import from __future__ import division from compas.geometry import transform_points_numpy __all__ = [ 'mesh_transform_numpy', 'mesh_transformed_numpy', ] def mesh_transform_numpy(mesh, transformation): """Transform a mesh. Param...

24.216867

80

0.595025

210

2,010

5.42381

0.309524

0.035119

0.042142

0.057946

0.382792

0.324846

0

0.005035

0.209453

2,010

82

81

24.512195

0.711768

0.520398

0

0.066002

0.027397

0

1

0.095238

false

0

0.238095

0

0.380952

0.047619

0

null

0

null

0

1

0

12c93b56f0fe4bfd1cf140c773e7ff17f7dd5689

17,860

py

Python

selfdrive/car/gm/carcontroller.py

CTyrell/openpilot

1ef27823882eed575266983175f106af1e293082

[ "MIT" ]

null

selfdrive/car/gm/carcontroller.py

CTyrell/openpilot

1ef27823882eed575266983175f106af1e293082

[ "MIT" ]

null

selfdrive/car/gm/carcontroller.py

CTyrell/openpilot

1ef27823882eed575266983175f106af1e293082

[ "MIT" ]

null

from cereal import car from common.realtime import DT_CTRL from common.numpy_fast import interp from common.realtime import sec_since_boot from selfdrive.config import Conversions as CV from selfdrive.car import apply_std_steer_torque_limits from selfdrive.car.gm import gmcan from selfdrive.car.gm.values import DBC, Ac...

54.45122

203

0.693729

2,781

17,860

4.046746

0.116864

0.061134

0.054203

0.057224

0.620313

0.53421

0.457349

0.409543

0.371246

0.367691

0

0.012675

0.218141

17,860

327

204

54.617737

0.793254

0.073348

0

0.143396

0

0.018154

0.003752

0

1

0.007547

false

0

0.033962

0

0.049057

0.011321

0

null

0

null

0

1

0

12ccd738c589b9032a098324390886166233073c

2,308

py

Python

pose_recognition_from_camera_demo.py

amazingchow/capture-dance-using-mediapipe

1963d461b4e047308da78b1bb88b9ed1f2c3c7d1

[ "MIT" ]

null

pose_recognition_from_camera_demo.py

amazingchow/capture-dance-using-mediapipe

1963d461b4e047308da78b1bb88b9ed1f2c3c7d1

[ "MIT" ]

null

pose_recognition_from_camera_demo.py

amazingchow/capture-dance-using-mediapipe

1963d461b4e047308da78b1bb88b9ed1f2c3c7d1

[ "MIT" ]

null

# -*- coding: utf-8 -*- import argparse import cv2 as cv import mediapipe as mp import sys import time if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument("--video_device", type=int, default=0) parser.add_argument("--video_file", type=str, default="") args = parser.pars...

35.507692

101

0.561958

281

2,308

4.44484

0.405694

0.019215

0.025621

0.035228

0.102482

0.060849

0

0.020052

0.330156

2,308

64

102

36.0625

0.78784

0.089688

0

0.076923

0

0.097328

0.015744

0

0.001908

0

1

0

false

0

0.096154

0

0.096154

0.076923

0

null

0

null

0

1

0

12ce678d7b9581bc7d8e71fefb2ce7346256d86f

1,901

py

Python

reference/data_dict_export.py

TBody/atomic1D

fcab88f3b303468f23ac75b847c76244593f4b7f

[ "MIT" ]

1

2019-05-18T22:32:21.000Z

reference/data_dict_export.py

TBody/atomic1D

fcab88f3b303468f23ac75b847c76244593f4b7f

[ "MIT" ]

null

reference/data_dict_export.py

TBody/atomic1D

fcab88f3b303468f23ac75b847c76244593f4b7f

[ "MIT" ]

null

# Program name: atomic1D/reference/build_json.py # Author: Thomas Body # Author email: tajb500@york.ac.uk # Date of creation: 14 July 2017 # # # Makes data_dict and copies it into a .json file 'sd1d-case-05.json' filename = 'sd1d-case-05' from boutdata.collect import collect data_dict = {} # Normalisation factor ...

36.557692

172

0.730668

296

1,901

4.591216

0.506757

0.10596

0.062546

0.036792

0.031641

0

0.01433

0.155708

1,901

52

173

36.557692

0.832399

0.50868

0

0.047619

0.224044

0.065574

0

1

0

false

0

0.190476

0

0.190476

0

null

0

null

0

1

0

12cf323ab36261eee5e0ca79f3a3c93c62ed377b

3,300

py

Python

wordDocComposite.py

flyonok/image2text

0c16e6bf35eb486e6ff28e9e402a18bea6bd338c

[ "Apache-1.1" ]

null

wordDocComposite.py

flyonok/image2text

0c16e6bf35eb486e6ff28e9e402a18bea6bd338c

[ "Apache-1.1" ]

null

wordDocComposite.py

flyonok/image2text

0c16e6bf35eb486e6ff28e9e402a18bea6bd338c

[ "Apache-1.1" ]

null

from docx import Document def CompositeTwoDocs(srcDocFullName, dstDocFullName, compositeName): ''' srcDocFullName:源文档，里面含有需要替换的内容 dstDocFullName:目标文档，执行后，相关模板内容被替换 compositeName:替换的对象名，比如正面或背面 return: 成功->True，失败->False ''' try: srcDoc = Document(srcDocFullName) dstDoc = Do...

40.740741

101

0.538485

291

3,300

6.079038

0.312715

0.027134

0.044093

0.067835

0.394573

0.371962

0.336914

0.260034

0.172979

0.09723

0

0.021347

0.361212

3,300

81

102

40.740741

0.817837

0.068182

0

0.363636

0

0.078238

0.035503

0

1

0.015152

false

0

0.015152

0

0.060606

0.090909

0

null

0

null

0

1

0

12d0afe950ed445eb9f7e907ee14e9a851acd904

4,853

py

Python

app/cover.py

mrwiwi/tydom2mqtt

293322033b67521bb981af1c8c2245ca9af6c646

[ "MIT" ]

26

2020-04-07T17:58:24.000Z

2022-02-12T16:28:44.000Z

app/cover.py

mrwiwi/tydom2mqtt

293322033b67521bb981af1c8c2245ca9af6c646

[ "MIT" ]

19

2020-03-25T09:46:46.000Z

2021-11-29T09:55:57.000Z

app/cover.py

mrwiwi/tydom2mqtt

293322033b67521bb981af1c8c2245ca9af6c646

[ "MIT" ]

26

2020-04-27T21:40:12.000Z

2022-01-06T14:44:22.000Z

import json import time from datetime import datetime from sensors import sensor cover_command_topic = "cover/tydom/{id}/set_positionCmd" cover_config_topic = "homeassistant/cover/tydom/{id}/config" cover_position_topic = "cover/tydom/{id}/current_position" cover_set_postion_topic = "cover/tydom/{id}/set_position" cov...

37.914063

147

0.622708

575

4,853

5.024348

0.151304

0.045691

0.031153

0.029076

0.331603

0.28522

0.26722

0.199377

0.143302

0

0.001675

0.261694

4,853

127

148

38.212598

0.804633

0.187307

0

0.083333

0

0.13466

0.056363

0

1

0.011905

false

0

0.047619

0

0.071429

0.059524

0

null

0

null

0

1

0

12d29fab22f07b19b231bdfe08bc053825594e45

56,823

py

Python

edx/config/lms/docker_run.py

openfun/learning-analytics-playground

dca80d89ca781d9060bd69927af4aa1462cc53ef

[ "MIT" ]

1

2021-12-13T09:05:59.000Z

edx/config/lms/docker_run.py

openfun/learning-analytics-playground

dca80d89ca781d9060bd69927af4aa1462cc53ef

[ "MIT" ]

3

2021-05-18T08:26:51.000Z

2022-03-14T10:34:36.000Z

edx/config/lms/docker_run.py

openfun/learning-analytics-playground

dca80d89ca781d9060bd69927af4aa1462cc53ef

[ "MIT" ]

1

2021-06-03T14:21:56.000Z

""" This is the default template for our main set of servers. This does NOT cover the content machines, which use content.py Common traits: * Use memcached, and cache-backed sessions * Use a MySQL 5.1 database """ # We intentionally define lots of variables that aren't used, and # want to import all variables from ba...

36.239158

140

0.724671

6,941

56,823

5.631033

0.172021

0.020954

0.029014

0.019829

0.174389

0.087553

0.045337

0.039504

0.031163

0.02799

0

0.003528

0.156961

56,823

1,567

141

36.262285

0.812375

0.209211

0

0.11326

0

0.001842

0.284187

0.138823

0

0.000638

0

1

0.001842

false

0.019337

0.017495

0

0.020258

0

null

0

null

0

1

0

12d6fdba24bc3c779da8bc89c659942cc66fb630

9,284

py

Python

cluster_toolkit/xi.py

jhod0/cluster_toolkit

b515b39fc4d0a17c19be4530a75d089d190f50cb

[ "MIT" ]

null

cluster_toolkit/xi.py

jhod0/cluster_toolkit

b515b39fc4d0a17c19be4530a75d089d190f50cb

[ "MIT" ]

6

2019-08-14T18:54:23.000Z

2019-09-19T22:10:42.000Z

cluster_toolkit/xi.py

jhod0/cluster_toolkit

b515b39fc4d0a17c19be4530a75d089d190f50cb

[ "MIT" ]

null

"""Correlation functions for matter and halos. """ import cluster_toolkit from cluster_toolkit import _ArrayWrapper, _handle_gsl_error import numpy as np def xi_nfw_at_r(r, M, c, Omega_m, delta=200): """NFW halo profile correlation function. Args: r (float or array like): 3d distances from halo cente...

40.190476

198

0.62193

1,324

9,284

4.243958

0.133686

0.043246

0.040577

0.054102

0.74782

0.69443

0.690692

0.664709

0.605446

0.585691

0

0.018228

0.273158

9,284

230

199

40.365217

0.814464

0.525743

0

0.397436

0

0.028398

0

1

0.102564

false

0

0.038462

0

0.24359

0

null

0

null

0

1

0

12d736e2a136d27d71bf7901bba9c44692b70118

1,500

py

Python

Tools/scripts/rgrep.py

ystk/debian-python3.1

6241444a6994140621d1b143a2d6b311b184366a

[ "PSF-2.0" ]

1

2015-05-21T23:47:54.000Z

Tools/scripts/rgrep.py

ystk/debian-python3.1

6241444a6994140621d1b143a2d6b311b184366a

[ "PSF-2.0" ]

1

2015-10-29T20:51:31.000Z

Tools/scripts/rgrep.py

ystk/debian-python3.1

6241444a6994140621d1b143a2d6b311b184366a

[ "PSF-2.0" ]

2

2018-08-06T04:37:38.000Z

2022-02-27T18:07:12.000Z

#! /usr/bin/env python """Reverse grep. Usage: rgrep [-i] pattern file """ import sys import re import getopt def main(): bufsize = 64*1024 reflags = 0 opts, args = getopt.getopt(sys.argv[1:], "i") for o, a in opts: if o == '-i': reflags = reflags | re.IGNORECASE if len(args)...

23.076923

66

0.519333

196

1,500

3.913265

0.428571

0.031291

0.023468

0.026076

0.039113

0

0.02268

0.353333

1,500

64

67

23.4375

0.768041

0.044667

0

0.111111

0

0.080645

0

1

0.037037

false

0

0.055556

0

0.092593

0.055556

0

null

0

null

0

1

0

12d758ba9b3d6c5825fba951fa8141e8f0dd86e9

5,161

py

Python

licel_format_parser/main.py

IFAEControl/lidar-cli

02480ecd932cad1e11a04d866eb2eafc214f678d

[ "BSD-3-Clause" ]

null

licel_format_parser/main.py

IFAEControl/lidar-cli

02480ecd932cad1e11a04d866eb2eafc214f678d

[ "BSD-3-Clause" ]

null

licel_format_parser/main.py

IFAEControl/lidar-cli

02480ecd932cad1e11a04d866eb2eafc214f678d

[ "BSD-3-Clause" ]

null

import struct f = open("c0610400.102200", 'rb') class DateTime: def __init__(self): line = f.readline().strip() self._letter = chr(line[0]) self._year = line[1:3].decode("utf-8") self._month = int(chr(line[3]), 16) self._day = line[4:6].decode("utf-8") self._hour =...

33.083333

118

0.571207

683

5,161

4.087848

0.278184

0.087034

0.096705

0.100287

0.239613

0.179441

0.172278

0.153653

0.106375

0

0.049907

0.273978

5,161

156

119

33.083333

0.695223

0.09223

0

0.192982

0

0.008772

0.079555

0

1

0.105263

false

0

0.008772

0.017544

0.219298

0.04386

0

null

0

null

0

1

0

12d85c3f8e0b325f0104a7462f8c848f6627e0a1

7,073

py

Python

built-in/TensorFlow/Official/nlp/BertLarge_ID0634_for_TensorFlow2.X/bert/tf2_common/training/optimizer_v2modified.py

Ascend/modelzoo

f018cfed33dbb1cc2110b9ea2e233333f71cc509

[ "Apache-2.0" ]

12

2020-12-13T08:34:24.000Z

2022-03-20T15:17:17.000Z

built-in/TensorFlow/Official/nlp/BertLarge_ID0634_for_TensorFlow2.X/bert/tf2_common/training/optimizer_v2modified.py

Ascend/modelzoo

f018cfed33dbb1cc2110b9ea2e233333f71cc509

[ "Apache-2.0" ]

1

2022-01-20T03:11:05.000Z

2022-01-20T06:53:39.000Z

built-in/TensorFlow/Official/nlp/BertLarge_ID0634_for_TensorFlow2.X/bert/tf2_common/training/optimizer_v2modified.py

Ascend/modelzoo

f018cfed33dbb1cc2110b9ea2e233333f71cc509

[ "Apache-2.0" ]

2

2021-07-10T12:40:46.000Z

2021-12-17T07:55:15.000Z

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

42.10119

88

0.713276

882

7,073

5.471655

0.281179

0.034811

0.052217

0.026523

0.215499

0.137588

0.127642

0.083299

0.02528

0

0.00447

0.209246

7,073

167

89

42.353293

0.858394

0.344832

0

0.117647

0

0.079401

0.02505

0

1

0.070588

false

0

0.152941

0

0.317647

0.011765

0

null

0

null

0

1

0

12d9793b66d488d4aab6750551143953a771ab71

4,828

py

Python

src/data/utils.py

behavioral-data/multiverse

82b7265de0aa3e9d229ce9f3f86b8b48435ca365

[ "MIT" ]

null

src/data/utils.py

behavioral-data/multiverse

82b7265de0aa3e9d229ce9f3f86b8b48435ca365

[ "MIT" ]

null

src/data/utils.py

behavioral-data/multiverse

82b7265de0aa3e9d229ce9f3f86b8b48435ca365

[ "MIT" ]

1

2021-08-19T15:21:50.000Z

import os import errno import requests import glob import os import json from tqdm import tqdm from selenium import webdriver from selenium.webdriver.firefox.options import Options def make_sure_path_exists(path): try: os.makedirs(path) except OSError as exception: if exception.errno != er...

31.555556

94

0.570008

642

4,828

4.098131

0.211838

0.009122

0.042569

0.018624

0.224249

0.174078

0.155074

0.133789

0

0.006316

0.311309

4,828

152

95

31.763158

0.784962

0.01947

0

0.163934

0

0.039738

0

0.006579

0

1

0.139344

false

0

0.07377

0.02459

0.352459

0

null

0

null

0

1

0

12da373705e611aa87f9b708815df70bbd6ae325

14,870

py

Python

jocular/calibrator.py

MartinCooke/jocular

635816d4ef6aa6ea75187137e25386dad2d551e9

[ "MIT" ]

6

2021-03-21T16:46:44.000Z

2021-11-27T14:07:06.000Z

jocular/calibrator.py

MartinCooke/jocular

635816d4ef6aa6ea75187137e25386dad2d551e9

[ "MIT" ]

null

jocular/calibrator.py

MartinCooke/jocular

635816d4ef6aa6ea75187137e25386dad2d551e9

[ "MIT" ]

null

''' Handles calibration library and calibration of subs. ''' import os.path import numpy as np from scipy.stats import trimboth from kivy.app import App from loguru import logger from kivy.properties import BooleanProperty, DictProperty, NumericProperty from kivy.core.window import Window from jocular.table import T...

39.028871

123

0.571688

1,952

14,870

4.266393

0.193135

0.012608

0.022695

0.007565

0.165706

0.137128

0.10879

0.103987

0.091258

0.07829

0

0.009504

0.313652

14,870

380

124

39.131579

0.806486

0.179758

0

0.143443

0

0.126713

0

1

0.061475

false

0

0.04918

0

0.213115

0

null

0

null

0

1

0

12e061c5c6e2f04c0f2228f70f6bcd0e8dd58774

1,105

py

Python

genrl/environments/vec_env/utils.py

matrig/genrl

25eb018f18a9a1d0865c16e5233a2a7ccddbfd78

[ "MIT" ]

390

2020-05-03T17:34:02.000Z

2022-03-05T11:29:07.000Z

genrl/environments/vec_env/utils.py

matrig/genrl

25eb018f18a9a1d0865c16e5233a2a7ccddbfd78

[ "MIT" ]

306

2020-05-03T05:53:53.000Z

2022-03-12T00:27:28.000Z

genrl/environments/vec_env/utils.py

matrig/genrl

25eb018f18a9a1d0865c16e5233a2a7ccddbfd78

[ "MIT" ]

64

2020-05-05T20:23:30.000Z

2022-03-30T08:43:10.000Z

from typing import Tuple import torch class RunningMeanStd: """ Utility Function to compute a running mean and variance calculator :param epsilon: Small number to prevent division by zero for calculations :param shape: Shape of the RMS object :type epsilon: float :type shape: Tuple """ ...

28.333333

77

0.611765

142

1,105

4.619718

0.387324

0.068598

0.064024

0.045732

0.057927

0

0.011524

0.293213

1,105

38

78

29.078947

0.828425

0.19819

0

1

0.090909

false

0

0.090909

0

0.227273

0

null

0

null

0

1

0

12e064fd8ee7774d0bfca223891f1c72e7cca90f

2,752

py

Python

releases/pota-windows-1.3-ai5.0.2.0/ae/aiPotaTemplate.py

sumitneup/pota

a1d7a59b5ca29813d8b7f3fa77cca0a47404b785

[ "MIT" ]

null

releases/pota-windows-1.3-ai5.0.2.0/ae/aiPotaTemplate.py

sumitneup/pota

a1d7a59b5ca29813d8b7f3fa77cca0a47404b785

[ "MIT" ]

null

releases/pota-windows-1.3-ai5.0.2.0/ae/aiPotaTemplate.py

sumitneup/pota

a1d7a59b5ca29813d8b7f3fa77cca0a47404b785

[ "MIT" ]

null

import mtoa.ui.ae.templates as templates import pymel.core as pm import maya.cmds as cmds import mtoa.ui.ae.utils as aeUtils class aiPotaTemplate(templates.AttributeTemplate): """ def filenameEditBokeh(self, mData) : attr = self.nodeAttr('aiBokehEXRPath') cmds.setAttr(attr,mData,type="string") ...

39.884058

135

0.673328

268

2,752

6.910448

0.492537

0.090713

0.064795

0.086393

0.167387

0.134989

0.053996

0

0.003655

0.204578

2,752

69

136

39.884058

0.842394

0.388445

0

0.296329

0.019696

0

1

0.052632

false

0

0.210526

0

0.315789

0

null

0

null

0

1

0

12e2d80d29d4efd869955ca94be7cd962776dc80

811

py

Python

Algorithm/ShellSort/pyShellSort.py

commanderHR1/algorithms

d077364e8b08ae2b7b93bc01a73f622421086365

[ "MIT" ]

1

2020-07-17T20:49:55.000Z

Algorithm/ShellSort/pyShellSort.py

commanderHR1/algorithms

d077364e8b08ae2b7b93bc01a73f622421086365

[ "MIT" ]

null

Algorithm/ShellSort/pyShellSort.py

commanderHR1/algorithms

d077364e8b08ae2b7b93bc01a73f622421086365

[ "MIT" ]

null

# Implementation of Shell Sort algorithm in Python def shellSort(arr): interval = 1 # Initializes interval while (interval < (len(arr) // 3)): interval = (interval * 3) + 1 while (interval > 0): for i in range(interval, len(arr)): # Select val to be inserted ...

26.16129

70

0.477189

94

811

4.117021

0.468085

0.093023

0.072351

0

0.027027

0.406905

811

30

71

27.033333

0.777547

0.199753

0

0.042056

0

1

0.058824

false

0

0.058824

0.117647

0

null

0

null

0

1

0

12e533fd59ecf8d6a32514514fcb290ff13e6ec1

1,322

py

Python

main.py

kramrm/gcf-alerting-discord

c73d88520a783f9c4d12099bb8e21f03a950eebc

[ "MIT" ]

null

main.py

kramrm/gcf-alerting-discord

c73d88520a783f9c4d12099bb8e21f03a950eebc

[ "MIT" ]

null

main.py

kramrm/gcf-alerting-discord

c73d88520a783f9c4d12099bb8e21f03a950eebc

[ "MIT" ]

null

import base64 import json from webhook import post_webhook from datetime import datetime def hello_pubsub(event, context): """Triggered from a message on a Cloud Pub/Sub topic. Args: event (dict): Event payload. context (google.cloud.functions.Context): Metadata for the event. """ pubs...

38.882353

99

0.683812

159

1,322

5.572327

0.408805

0.06772

0.049661

0

0.018433

0.179274

1,322

33

100

40.060606

0.798157

0.23525

0

0.18845

0.046606

0

1

0.041667

false

0

0.166667

0

0.208333

0

null

0

null

0

1

0

12e5fe65e4d8ed7a4606ea760b1a56fc1a8485e1

6,226

py

Python

scripts/run-gmm.py

vr100/nfl-kaggle

74386b672ef4bb894bdf943df866855c4b555ede

[ "MIT" ]

null

scripts/run-gmm.py

vr100/nfl-kaggle

74386b672ef4bb894bdf943df866855c4b555ede

[ "MIT" ]

null

scripts/run-gmm.py

vr100/nfl-kaggle

74386b672ef4bb894bdf943df866855c4b555ede

[ "MIT" ]

null

import argparse, os, fnmatch, json, joblib import pandas as pd from sklearn.mixture import GaussianMixture from sklearn.metrics import adjusted_rand_score # Reference paper - https://arxiv.org/abs/1906.11373 # "Unsupervised Methods for Identifying Pass Coverage Among Defensive Backs with NFL Player Tracking Data" STA...

32.092784

106

0.734661

978

6,226

4.370143

0.184049

0.028077

0.021058

0.016846

0.30627

0.199813

0.136172

0.096397

0.091249

0.073467

0

0.00518

0.131866

6,226

193

107

32.259067

0.785569

0.048346

0

0.09697

0

0.124514

0.003548

0

1

0.042424

false

0

0.024242

0

0.09697

0.054545

0

null

0

null

0

1

0

12e82d4517d5644cd0b40eba9d476a8a70aa842c

5,806

py

Python

django/bossingest/test/test_ingest_manager.py

jhuapl-boss/boss

c2e26d272bd7b8d54abdc2948193163537e31291

[ "Apache-2.0" ]

20

2016-05-16T21:08:13.000Z

2021-11-16T11:50:19.000Z

django/bossingest/test/test_ingest_manager.py

jhuapl-boss/boss

c2e26d272bd7b8d54abdc2948193163537e31291

[ "Apache-2.0" ]

31

2016-10-28T17:51:11.000Z

2022-02-10T08:07:31.000Z

django/bossingest/test/test_ingest_manager.py

jhuapl-boss/boss

c2e26d272bd7b8d54abdc2948193163537e31291

[ "Apache-2.0" ]

12

2016-10-28T17:47:01.000Z

2021-05-18T23:47:06.000Z

# Copyright 2016 The Johns Hopkins University Applied Physics Laboratory # # 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 ...

40.887324

110

0.707544

778

5,806

5.023136

0.235219

0.08956

0.116428

0.080604

0.492323

0.423234

0.35261

0.319857

0

0.007595

0.206338

5,806

141

111

41.177305

0.840495

0.180847

0

0.336957

0

0.033484

0

0.326087

1

0.108696

false

0.01087

0.130435

0

0.25

0

null

0

null

0

1

0

12e8353d99830242965335f0aba978e3cb0ab443

5,505

py

Python

sanic_devtools/log.py

yunstanford/sanic-devtools

9e8a6d011db025d53ddd6012b5542dc18825d4b0

[ "MIT" ]

12

2019-09-06T05:14:46.000Z

2022-02-17T09:26:38.000Z

sanic_devtools/log.py

yunstanford/sanic-devtools

9e8a6d011db025d53ddd6012b5542dc18825d4b0

[ "MIT" ]

null

sanic_devtools/log.py

yunstanford/sanic-devtools

9e8a6d011db025d53ddd6012b5542dc18825d4b0

[ "MIT" ]

1

2019-09-10T03:57:21.000Z

import json import logging import logging.config import platform import re import traceback from io import StringIO import pygments from devtools import pformat from devtools.ansi import isatty, sformat from pygments.formatters import Terminal256Formatter from pygments.lexers import Python3TracebackLexer rs_dft_logge...

31.820809

101

0.547502

542

5,505

5.400369

0.273063

0.027332

0.039973

0.050222

0.2822

0.224462

0.206013

0.121968

0.055347

0

0.002959

0.324614

5,505

172

102

32.005814

0.784293

0.053588

0

0.262069

0

0.169439

0.05648

0

1

0.055172

false

0

0.082759

0

0.213793

0.006897

0

null

0

null

0

1

0

12e86cadd6eb11b7a84bc77642dccfd6d3f1bfb4

1,893

py

Python

rest_fhir/mixins/conditional_read.py

weynelucas/django-rest-fhir

560a0aadd0cfa43b6dc58f995c86015f6eefb768

[ "MIT" ]

2

2021-05-07T12:16:27.000Z

2021-12-16T20:45:36.000Z

rest_fhir/mixins/conditional_read.py

weynelucas/django-rest-fhir

560a0aadd0cfa43b6dc58f995c86015f6eefb768

[ "MIT" ]

3

2021-05-10T19:40:33.000Z

2021-06-27T14:24:47.000Z

rest_fhir/mixins/conditional_read.py

weynelucas/django-rest-fhir

560a0aadd0cfa43b6dc58f995c86015f6eefb768

[ "MIT" ]

1

2021-08-09T22:00:22.000Z

import calendar from typing import Union import dateutil.parser from rest_framework import status from rest_framework.response import Response from django.utils.cache import get_conditional_response from django.utils.http import http_date from ..models import Resource, ResourceVersion FhirResource = Union[Resource,...

29.578125

73

0.663497

224

1,893

5.428571

0.34375

0.098684

0.052632

0.037829

0.0625

0

0.002819

0.250396

1,893

63

74

30.047619

0.854123

0.082409

0

0.029446

0

1

0.113636

false

0

0.181818

0.022727

0.454545

0

null

0

null

0

1

0

12e90bbcd25c813026449118e104295e2d5b4d7b

803

py

Python

code_week27_1026_111/sort_colors.py

dylanlee101/leetcode

b059afdadb83d504e62afd1227107de0b59557af

[ "Apache-2.0" ]

null

code_week27_1026_111/sort_colors.py

dylanlee101/leetcode

b059afdadb83d504e62afd1227107de0b59557af

[ "Apache-2.0" ]

null

code_week27_1026_111/sort_colors.py

dylanlee101/leetcode

b059afdadb83d504e62afd1227107de0b59557af

[ "Apache-2.0" ]

null

''' 给定一个包含红色、白色和蓝色，一共 n 个元素的数组，原地对它们进行排序，使得相同颜色的元素相邻，并按照红色、白色、蓝色顺序排列。此题中，我们使用整数 0、 1 和 2 分别表示红色、白色和蓝色。注意: 不能使用代码库中的排序函数来解决这道题。示例: 输入: [2,0,2,1,1,0] 输出: [0,0,1,1,2,2] 进阶：一个直观的解决方案是使用计数排序的两趟扫描算法。首先，迭代计算出0、1 和 2 元素的个数，然后按照0、1、2的排序，重写当前数组。你能想出一个仅使用常数空间的一趟扫描算法吗？来源：力扣（LeetCode）链接：https://leetcode-cn.com/problem...

21.131579

65

0.554172

121

803

3.677686

0.528926

0.067416

0.098876

0.049438

0.125843

0

0.045614

0.290162

803

37

66

21.702703

0.735088

0.476961

0

0.333333

0

1

0.083333

false

0

0.166667

0

null

0

null

0

1

0

12ea0884e04ad5410800ee3a274f85dcb7596112

363

py

Python

solutions/lowest_common_ancestor_deepest_leaves/__main__.py

ansonmiu0214/dsa-worked-solutions

88801d268b78506edd77e771c29b4c9f4ae0f59a

[ "MIT" ]

null

solutions/lowest_common_ancestor_deepest_leaves/__main__.py

ansonmiu0214/dsa-worked-solutions

88801d268b78506edd77e771c29b4c9f4ae0f59a

[ "MIT" ]

null

solutions/lowest_common_ancestor_deepest_leaves/__main__.py

ansonmiu0214/dsa-worked-solutions

88801d268b78506edd77e771c29b4c9f4ae0f59a

[ "MIT" ]

null

from .solution import lcaDeepestLeaves from ..utils import TreeNode print('Enter tree, e.g. [2,3,1,3,1,null,1]:', end=' ') nodes = [int(node) if node != 'null' else None for node in input().strip().split(',')] root = TreeNode.fromList(nodes) lowestCommonAncestor = lcaDeepestLeaves(root) print(f'The lowest common anc...

36.3

86

0.721763

51

363

5.137255

0.72549

0.015267

0

0.018634

0.112948

363

10

87

36.3

0.795031

0

0.142857

0.285714

0.085165

0

1

0

false

0

0.285714

0

0.285714

0

null

0

null

0

1

0

12ea961825e76ebc83c3a72ff0731af4a86af12d

2,472

py

Python

code/python3/index_values_with_geo.py

jaylett/xapian-docsprint

2e8fdffecf71f7042c0abe49924ba48c11818b7e

[ "MIT" ]

47

2015-01-20T15:38:41.000Z

2022-02-15T21:03:50.000Z

code/python3/index_values_with_geo.py

jaylett/xapian-docsprint

2e8fdffecf71f7042c0abe49924ba48c11818b7e

[ "MIT" ]

16

2015-06-09T16:12:50.000Z

2020-02-05T06:40:18.000Z

code/python3/index_values_with_geo.py

jaylett/xapian-docsprint

2e8fdffecf71f7042c0abe49924ba48c11818b7e

[ "MIT" ]

56

2015-01-20T15:38:44.000Z

2022-03-03T18:13:39.000Z

#!/usr/bin/env python import json from support import parse_states import sys import xapian def index(datapath, dbpath): # Create or open the database we're going to be writing to. db = xapian.WritableDatabase(dbpath, xapian.DB_CREATE_OR_OPEN) # Set up a TermGenerator that we'll use in indexing. term...

35.314286

74

0.644013

325

2,472

4.821538

0.4

0.034461

0.084237

0.01404

0.089343

0

0.007019

0.250809

2,472

69

75

35.826087

0.839093

0.248786

0

0.047619

0

0.050626

0

1

0.02381

false

0

0.095238

0

0.119048

0.02381

0

null

0

null

0

1

0

12eab71a1efede1b96f0100790956e17f9d9393a

1,265

py

Python

logger.py

drewstone/dynamic-governanceq

924317800db7bca6308ff912b16c7b834ab30e32

[ "MIT" ]

null

logger.py

drewstone/dynamic-governanceq

924317800db7bca6308ff912b16c7b834ab30e32

[ "MIT" ]

null

logger.py

drewstone/dynamic-governanceq

924317800db7bca6308ff912b16c7b834ab30e32

[ "MIT" ]

null

import constants def init(mode, gov, agents): if mode == constants.DEBUG_LOGGING or mode == constants.LOG_INIT: print("Agents = {}".format( list(map(lambda agent: agent.capacity, agents)))) print("Starting param: {}".format(gov.param)) def round(mode, round, gov, throughput): if ...

36.142857

74

0.554941

144

1,265

4.777778

0.3125

0.151163

0.087209

0.116279

0.399709

0.363372

0.261628

0

0.00226

0.300395

1,265

34

75

37.205882

0.775141

0

0.12253

0

1

0.153846

false

0

0.038462

0

0.192308

0.230769

0

null

0

null

0

1

0

12ed7f2619866ebbd758994ab5e6290f518e72e4

6,608

py

Python

tests/test_providers.py

thejoeejoee/django-allauth-cas

5db34b546eb32524a3a1a4b90f411e370ac7ad9b

[ "MIT" ]

null

tests/test_providers.py

thejoeejoee/django-allauth-cas

5db34b546eb32524a3a1a4b90f411e370ac7ad9b

[ "MIT" ]

null

tests/test_providers.py

thejoeejoee/django-allauth-cas

5db34b546eb32524a3a1a4b90f411e370ac7ad9b

[ "MIT" ]

null

# -*- coding: utf-8 -*- from six.moves.urllib.parse import urlencode from django.contrib import messages from django.contrib.messages.api import get_messages from django.contrib.messages.middleware import MessageMiddleware from django.contrib.messages.storage.base import Message from django.contrib.sessions.middleware...

32.875622

79

0.623033

699

6,608

5.655222

0.227468

0.054642

0.058184

0.04427

0.553251

0.471035

0.461169

0.316216

0.267139

0.220592

0

0.017656

0.262863

6,608

200

80

33.04

0.793882

0.0171

0

0.303797

0

0.012658

0.16494

0.091823

0

0.113924

1

0.094937

false

0

0.063291

0

0.170886

0

null

0

null

0

1

0

12ee13303b7604822dba3ba0cf7479d1d2caaf67

4,477

py

Python

selenium_utils/element.py

defactto/selenium-utils

d3a71f3baaaa0da29e3b1ab869f8c685ea5d1b42

[ "Apache-2.0" ]

7

2016-08-24T20:29:47.000Z

2020-01-29T13:59:03.000Z

selenium_utils/element.py

defactto/selenium-utils

d3a71f3baaaa0da29e3b1ab869f8c685ea5d1b42

[ "Apache-2.0" ]

null

selenium_utils/element.py

defactto/selenium-utils

d3a71f3baaaa0da29e3b1ab869f8c685ea5d1b42

[ "Apache-2.0" ]

1

2020-01-06T18:41:15.000Z

import logging import time from selenium.common import exceptions from selenium.webdriver.remote.webdriver import WebDriver from selenium.webdriver.common import action_chains from selenium.webdriver.support import expected_conditions as EC from selenium.webdriver.support.ui import WebDriverWait from selenium_utils i...

29.071429

100

0.691311

529

4,477

5.674858

0.287335

0.058628

0.031979

0.065956

0.303797

0.263491

0.243504

0.181546

0.16489

0

0.004556

0.215546

4,477

153

101

29.261438

0.850228

0.280992

0

0.264706

0

0.024137

0.010057

0

1

0.176471

false

0

0.117647

0

0.397059

0

null

0

null

0

1

0

12ee5dcab405211321c77a37855a79013c17587c

1,421

py

Python

modules/iib_applications.py

satbel/ib-metrics-pyclient

1670df55684a7182884fcfc777fde5ae44095f8f

[ "MIT" ]

null

modules/iib_applications.py

satbel/ib-metrics-pyclient

1670df55684a7182884fcfc777fde5ae44095f8f

[ "MIT" ]

null

modules/iib_applications.py

satbel/ib-metrics-pyclient

1670df55684a7182884fcfc777fde5ae44095f8f

[ "MIT" ]

null

# -*- coding: utf-8 -*- """Various functions for ib applications.""" from modules.iib_api import get_status def get_metric_name(metric_label): """Returns pushgateway formatted metric name.""" return 'ib_application_{0}'.format(metric_label) def get_metric_annotation(): """Returns dictionary with annotat...

36.435897

98

0.64532

174

1,421

5.022989

0.33908

0.072082

0.074371

0.043478

0.085812

0

0.013405

0.212526

1,421

38

99

37.394737

0.76765

0.18297

0

0.114035

0.021053

0

1

0.111111

false

0

0.037037

0

0.259259

0

null

0

null

0

1

0

12f0e1426999717b706caac8906a3500e72dc344

1,366

py

Python

clock.py

hcjk/kitchen-bot

5122101ed840b6bdf0b56d3c154de083cb793eda

[ "MIT" ]

null

clock.py

hcjk/kitchen-bot

5122101ed840b6bdf0b56d3c154de083cb793eda

[ "MIT" ]

null

clock.py

hcjk/kitchen-bot

5122101ed840b6bdf0b56d3c154de083cb793eda

[ "MIT" ]

1

2019-06-10T01:25:49.000Z

import os import requests import psycopg2 import db_lib as db from app import send_message, log from apscheduler.schedulers.blocking import BlockingScheduler DATABASE_URL = os.environ['DATABASE_URL'] conn = psycopg2.connect(DATABASE_URL, sslmode='require') def kitchen_reminder(): # fetch current status status = d...

23.964912

82

0.732064

188

1,366

5.239362

0.473404

0.04467

0.033503

0.04467

0

0.013877

0.15593

1,366

56

83

24.392857

0.840416

0.129575

0

0.147059

0

0.168501

0

1

0.058824

false

0

0.176471

0

0.323529

0

null

0

null

0

1

0