xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

814bbe8913aa4c1ed64cfd661e62c150faebc750

805

py

Python

gpdata.py

masenov/bullet

be7148c93e3bf8111923063b599f2e9f7ea929b8

[ "Zlib" ]

null

gpdata.py

masenov/bullet

be7148c93e3bf8111923063b599f2e9f7ea929b8

[ "Zlib" ]

null

gpdata.py

masenov/bullet

be7148c93e3bf8111923063b599f2e9f7ea929b8

[ "Zlib" ]

null

flat_x = x.flatten() flat_y = y.flatten() flat_z = z.flatten() size = flat_x.shape[0] filename = 'landscapeData.h' open(filename, 'w').close() f = open(filename, 'a') f.write('#include "LinearMath/btScalar.h"\n#define Landscape01VtxCount 4\n#define Landscape01IdxCount 4\nbtScalar Landscape01Vtx[] = {\n') for i in r...

23.676471

138

0.62236

142

805

3.478873

0.28169

0.145749

0.09919

0.05668

0.362348

0.34413

0.283401

0.182186

0

0.04073

0.115528

805

33

139

24.393939

0.65309

0

0.416667

0

0.041667

0.380124

0.039752

0

1

0

false

0

null

0

null

0

1

0

814d356177b5fffd6e85621ee2f5863452f63451

2,776

py

Python

samples/create_project.py

zuarbase/server-client-python

1e5e02a550727d72fa90c3d8e4caa4c5f416dc74

[ "CC0-1.0", "MIT" ]

470

2016-09-14T23:38:48.000Z

2022-03-31T07:59:53.000Z

samples/create_project.py

zuarbase/server-client-python

1e5e02a550727d72fa90c3d8e4caa4c5f416dc74

[ "CC0-1.0", "MIT" ]

772

2016-09-09T18:15:44.000Z

2022-03-31T22:01:08.000Z

samples/create_project.py

zuarbase/server-client-python

1e5e02a550727d72fa90c3d8e4caa4c5f416dc74

[ "CC0-1.0", "MIT" ]

346

2016-09-10T00:05:00.000Z

2022-03-30T18:55:47.000Z

#### # This script demonstrates how to use the Tableau Server Client # to create new projects, both at the root level and how to nest them using # parent_id. # # # To run the script, you must have installed Python 3.6 or later. #### import argparse import logging import sys import tableauserverclient as TSC def cre...

40.823529

101

0.699568

373

2,776

5.045576

0.364611

0.057386

0.045165

0.039851

0.132837

0.068013

0

0.001358

0.204251

2,776

67

102

41.432836

0.850611

0.231628

0

0.20237

0

1

0.054054

false

0

0.108108

0

0.189189

0.054054

0

null

0

null

0

1

0

814e51bb73ef3a0faf2172d4b70fb37c15405587

2,146

py

Python

tests/test_threading.py

nmandery/rasterio

ba5e90c487bd1930f52e57dba999e889b4df9ade

[ "BSD-3-Clause" ]

1,479

2015-01-10T12:35:07.000Z

2021-10-18T16:17:15.000Z

tests/test_threading.py

nmandery/rasterio

ba5e90c487bd1930f52e57dba999e889b4df9ade

[ "BSD-3-Clause" ]

1,819

2015-01-06T21:56:25.000Z

2021-10-20T02:28:27.000Z

tests/test_threading.py

nmandery/rasterio

ba5e90c487bd1930f52e57dba999e889b4df9ade

[ "BSD-3-Clause" ]

509

2015-01-06T20:59:12.000Z

2021-10-18T14:14:57.000Z

from threading import Thread import time import unittest import rasterio as rio from rasterio.env import get_gdal_config class TestThreading(unittest.TestCase): def test_multiopen(self): """ Open a file from different threads. Regression test for issue #986 """ def func(...

25.855422

75

0.584809

275

2,146

4.414545

0.356364

0.040362

0.074959

0.093904

0.193575

0.054366

0

0.01752

0.308481

2,146

82

76

26.170732

0.800539

0.166356

0

0.269231

0

0.046552

0.013218

0

0.134615

1

0.134615

false

0

0.096154

0

0.25

0

null

0

null

0

1

0

81507c4f325c3f7f550df8daa74e43be479e3fc4

4,600

py

Python

dm_construction/environments_test.py

frangipane/dm_construction

c84dcbd13ef6896a57da04fe62be85297178552a

[ "Apache-2.0" ]

25

2020-07-16T12:35:07.000Z

2022-03-25T11:02:54.000Z

dm_construction/environments_test.py

frangipane/dm_construction

c84dcbd13ef6896a57da04fe62be85297178552a

[ "Apache-2.0" ]

2

2021-01-11T11:40:21.000Z

2021-06-15T12:43:28.000Z

dm_construction/environments_test.py

LaudateCorpus1/dm_construction

f9d59f6ccb8818b71f971387704f2db8f2b3323a

[ "Apache-2.0" ]

7

2020-08-20T13:04:37.000Z

2021-11-19T18:55:09.000Z

#!/usr/bin/python # # Copyright 2020 DeepMind Technologies Limited # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by a...

35.658915

80

0.722609

563

4,600

5.687389

0.337478

0.039975

0.018738

0.021549

0.319176

0.28451

0.266708

0.240475

0.22361

0

0.006527

0.167391

4,600

128

81

35.9375

0.829504

0.233043

0

0.270588

0

0.135827

0.025036

0

1

0.094118

false

0

0.058824

0

0.2

0

null

0

null

0

1

0

8150b4a9e126831d7b3a5289d0e53064e11cb629

225

py

Python

Modulo_3/semana 2/imagenes/imagen.py

rubens233/cocid_python

492ebdf21817e693e5eb330ee006397272f2e0cc

[ "MIT" ]

null

Modulo_3/semana 2/imagenes/imagen.py

rubens233/cocid_python

492ebdf21817e693e5eb330ee006397272f2e0cc

[ "MIT" ]

null

Modulo_3/semana 2/imagenes/imagen.py

rubens233/cocid_python

492ebdf21817e693e5eb330ee006397272f2e0cc

[ "MIT" ]

null

from tkinter import * ventana = Tk() ventana.geometry("500x500") ventana.title('PythonGuides') img = PhotoImage(file='./logo.png') img = img.subsample(3, 3) Label( ventana, image=img ).pack(fill="both") ventana.mainloop()

18.75

45

0.711111

30

225

5.333333

0.733333

0

0.039801

0.106667

225

12

46

18.75

0.756219

0

0.146018

0

1

0

false

0

0.125

0

0.125

0

null

0

null

0

1

0

8157314b8c5e999d455ae8518882f282b75cc228

4,581

py

Python

half_json/json_util.py

half-pie/half-json

d8064e90ac769547c22db11bcbe47fcb4f1eb600

[ "MIT" ]

4

2020-08-04T15:14:25.000Z

2021-08-18T18:29:03.000Z

half_json/json_util.py

half-pie/half-json

d8064e90ac769547c22db11bcbe47fcb4f1eb600

[ "MIT" ]

1

2019-06-04T15:01:31.000Z

half_json/json_util.py

half-pie/half-json

d8064e90ac769547c22db11bcbe47fcb4f1eb600

[ "MIT" ]

3

2019-06-01T14:16:32.000Z

2021-06-25T10:10:47.000Z

# coding=utf8 import re import json.decoder from collections import namedtuple from json.decoder import JSONDecoder from json.scanner import py_make_scanner from json.decoder import py_scanstring class JSONDecodeError(object): def __init__(self, parser, message): self.message = message self.pars...

32.260563

104

0.652696

549

4,581

5.26776

0.347905

0.027663

0.033195

0.03527

0.153181

0.124827

0.073997

0.040802

0

0.020874

0.226152

4,581

141

105

32.489362

0.794922

0.009823

0

0.047059

0

0.129434

0

0.011765

1

0.094118

false

0

0.070588

0.011765

0.423529

0

null

0

null

0

1

0

8157a3f9c8c5a1a22e0af65a58d5048d55b4c514

1,963

py

Python

capa-system/capaSystem.py

slumbermachine/capatimelapse

446e2a276b8ab0cf8d2f2292858cf2b540eb4748

[ "MIT" ]

2

2017-06-13T20:49:50.000Z

2019-04-09T10:14:24.000Z

capa-system/capaSystem.py

slumbermachine/capatimelapse

446e2a276b8ab0cf8d2f2292858cf2b540eb4748

[ "MIT" ]

null

capa-system/capaSystem.py

slumbermachine/capatimelapse

446e2a276b8ab0cf8d2f2292858cf2b540eb4748

[ "MIT" ]

null

#!/usr/bin/python ##################################################################### # Name : capaSystem.py # Description : Read system data and update db for web display # Environment : Tested under Raspberry Pi Rasbian Jessie Summer 17 # Author : Steve Osteen sosteen@gmail.com #####...

30.671875

101

0.596536

224

1,963

5.151786

0.517857

0.038995

0.02773

0.031196

0.081456

0

0.014848

0.210902

1,963

63

102

31.15873

0.730148

0.129903

0

0.22449

0

0.210493

0.068458

0

1

0.081633

false

0

0.122449

0

0.265306

0

null

0

null

0

1

0

815971e46cc7b24062e27d29f7d4f09a3aec13fb

3,770

py

Python

wagtail/wagtailadmin/tasks.py

willcodefortea/wagtail

2723b85ed8f356bde89d9541105b8cea4812d6a1

[ "BSD-3-Clause" ]

null

wagtail/wagtailadmin/tasks.py

willcodefortea/wagtail

2723b85ed8f356bde89d9541105b8cea4812d6a1

[ "BSD-3-Clause" ]

null

wagtail/wagtailadmin/tasks.py

willcodefortea/wagtail

2723b85ed8f356bde89d9541105b8cea4812d6a1

[ "BSD-3-Clause" ]

null

from django.template.loader import render_to_string from django.core.mail import send_mail from django.conf import settings from django.contrib.auth import get_user_model from django.db.models import Q from wagtail.wagtailcore.models import PageRevision, GroupPagePermission from wagtail.wagtailusers.models import User...

36.960784

145

0.734218

491

3,770

5.431772

0.311609

0.064117

0.047994

0.053993

0.198725

0

0.000659

0.19496

3,770

101

146

37.326733

0.878089

0.236074

0

0.316667

0

0.083304

0.034652

0

1

0.066667

false

0

0.133333

0

0.266667

0

null

0

null

0

1

0

815a258e49c9c6abc6816370b4272cf95e62bbe1

3,506

py

Python

app/map_sup_enrich_compose.py

onap/sdc-dcae-d-tosca-lab

b0120c1671e8987387ccae4f21793ceb303f471c

[ "Apache-2.0" ]

1

2021-10-15T19:47:42.000Z

app/map_sup_enrich_compose.py

onap/archive-sdc-dcae-d-tosca-lab

b0120c1671e8987387ccae4f21793ceb303f471c

[ "Apache-2.0" ]

null

app/map_sup_enrich_compose.py

onap/archive-sdc-dcae-d-tosca-lab

b0120c1671e8987387ccae4f21793ceb303f471c

[ "Apache-2.0" ]

1

2021-10-15T19:47:34.000Z

#Author: Shu Shi #emaiL: shushi@research.att.com from toscalib.tosca_workbook import ToscaWorkBook from toscalib.tosca_builder import ToscaBuilder import getopt, sys, json, logging def usage(): print('OPTIONS:') print('\t-h|--help: print this help message') print('\t-i|--input: The home folder where all ...

35.414141

187

0.582145

420

3,506

4.661905

0.314286

0.027579

0.024515

0.019918

0.06333

0.036772

0

0.002372

0.278665

3,506

99

188

35.414141

0.771847

0.048774

0

0.171053

0

0.238667

0.049835

0

1

0.026316

false

0

0.105263

0

0.131579

0.065789

0

null

0

null

0

1

0

815b05fc82778af22f4d9f4104ce255be5442149

1,937

py

Python

lusidtools/lpt/qry_scopes.py

fossabot/lusid-python-tools

93b2fa8085a0a6550d12d036bd89248aba6e5718

[ "MIT" ]

1

2020-04-27T12:27:23.000Z

lusidtools/lpt/qry_scopes.py

entityoneuk/lusid-python-tools

ee13d92673d01cfc9f7c427ed053e7a1e8d64973

[ "MIT" ]

null

lusidtools/lpt/qry_scopes.py

entityoneuk/lusid-python-tools

ee13d92673d01cfc9f7c427ed053e7a1e8d64973

[ "MIT" ]

null

import pandas as pd import dateutil from lusidtools.lpt import lpt from lusidtools.lpt import lse from lusidtools.lpt import stdargs from .either import Either import re import urllib.parse rexp = re.compile(r".*page=([^=']{10,}).*") TOOLNAME = "scopes" TOOLTIP = "List scopes" def parse(extend=None, args=None): ...

26.534247

85

0.575116

234

1,937

4.666667

0.41453

0.038462

0.046703

0.063187

0

0.00366

0.294786

1,937

72

86

26.902778

0.795754

0.007744

0

0.105208

0.010938

0

1

0.087719

false

0

0.140351

0.052632

0.350877

0

null

0

null

0

1

0

815eed7c81aa394ca156f60562a609ed561c8f68

4,253

py

Python

tests/tests.py

ActivityWatch/activitywatch-old

e69b071ff701368cee7bac5d01e5936c200e58be

[ "MIT" ]

4

2017-01-30T16:27:18.000Z

2017-09-28T19:14:13.000Z

tests/tests.py

ActivityWatch/activitywatch-old

e69b071ff701368cee7bac5d01e5936c200e58be

[ "MIT" ]

null

tests/tests.py

ActivityWatch/activitywatch-old

e69b071ff701368cee7bac5d01e5936c200e58be

[ "MIT" ]

2

2020-06-22T07:11:51.000Z

2020-12-11T02:46:22.000Z

from copy import copy from itertools import groupby import unittest from datetime import datetime, timedelta from typing import List from activitywatch.base import Watcher, Activity, Logger from activitywatch.settings import Settings from activitywatch.utils import floor_datetime, ceil_datetime from activitywatch.filt...

32.715385

105

0.652481

531

4,253

5.096045

0.175141

0.075388

0.08167

0.087953

0.369919

0.363267

0.315225

0.306356

0.191426

0

0.050675

0.215848

4,253

129

106

32.968992

0.76072

0

0.175824

0

0.013167

0

0.186813

1

0.186813

false

0.043956

0.10989

0.032967

0.428571

0

null

0

null

0

1

0

815ef73f8d3016d9f5e536e42e63dc78b0cafca1

254,077

py

Python

lang/it/basic_vocabulary_it.py

gtoffoli/commons-cops

e4b1f556c550e25bb2e6a9eabe8db963877c08d3

[ "MIT" ]

5

2016-11-13T02:41:02.000Z

2020-01-20T10:01:26.000Z

lang/it/basic_vocabulary_it.py

gtoffoli/commons

8b51a08a37c6d0b38fd4ecde82c20036c2dc168f

[ "MIT" ]

null

lang/it/basic_vocabulary_it.py

gtoffoli/commons

8b51a08a37c6d0b38fd4ecde82c20036c2dc168f

[ "MIT" ]

null

voc_it = [ ['a', 'noun', 'c'], ['a', 'preposition', 'a'], ['abbagliante', 'pres_part', 'c'], ['abbagliante', 'adjective', 'c'], ['abbagliante', 'noun', 'c'], ['abbaiare', 'verb', 'c'], ['abbandonare', 'verb', 'a'], ['abbandonato', 'past_part', 'b'], ['abbandonato', 'adjective', 'b'], ['abbandono', 'noun', 'b'], ['abbas...

28.130757

40

0.50236

27,406

254,077

4.646282

0.262643

0.079475

0.008552

0.000377

0.001453

0.000754

0

0.106633

254,077

9,032

41

28.130757

0.560991

0

0.007307

0

0.502385

0

1

0

false

0.003322

0.000664

0

0.000664

0

null

0

null

0

1

0

816071ad63a52503bfce3572b1ef2ec295dea013

9,099

py

Python

libs/models.py

aquastripe/DenseCLIP

9481bc4aac39265eb313041ae53b8f33d755508b

[ "Apache-2.0" ]

7

2022-02-02T14:34:38.000Z

2022-03-21T09:54:14.000Z

libs/models.py

aquastripe/DenseCLIP

9481bc4aac39265eb313041ae53b8f33d755508b

[ "Apache-2.0" ]

null

libs/models.py

aquastripe/DenseCLIP

9481bc4aac39265eb313041ae53b8f33d755508b

[ "Apache-2.0" ]

null

import json from collections import OrderedDict from typing import Union, List import clip import torch import torch.nn as nn import torch.nn.functional as F from libs.definitions import ROOT label_file = ROOT / 'imagenet_class_index.json' with open(label_file, 'r') as f: labels = json.load(f) _DEFAULT_CLASSNAM...

35.964427

116

0.593032

1,174

9,099

4.470187

0.179727

0.057355

0.025152

0.664825

0.553544

0.465701

0.429878

0.411585

0

0.00898

0.277943

9,099

252

117

36.107143

0.789802

0.07902

0

0.31068

0

0.20792

0.002991

0

1

0.063107

false

0

0.038835

0.014563

0.160194

0

null

0

null

0

1

0

8160fc2ecf8175573434885167d35e68b574a5af

11,463

py

Python

src/basset_sick_loss.py

shtoneyan/Basset

b6c7f8995bb4f8fc37eccf3ee0f78478beef51d7

[ "MIT" ]

248

2015-10-06T12:30:53.000Z

2022-02-02T20:30:34.000Z

src/basset_sick_loss.py

Deepstatsanalysis/Basset

18753ad9ff5a46291021a0fa1abaad037b6f64f0

[ "MIT" ]

51

2015-10-08T04:57:41.000Z

2021-08-12T19:53:04.000Z

src/basset_sick_loss.py

Deepstatsanalysis/Basset

18753ad9ff5a46291021a0fa1abaad037b6f64f0

[ "MIT" ]

120

2015-10-15T00:49:44.000Z

2022-02-16T21:17:17.000Z

#!/usr/bin/env python from __future__ import print_function from optparse import OptionParser import os import random import subprocess import matplotlib matplotlib.use('Agg') import numpy as np import matplotlib.pyplot as plt import pysam from scipy.stats import binom from scipy.stats.mstats import mquantiles import...

34.527108

175

0.566693

1,567

11,463

3.943842

0.200383

0.02945

0.025243

0.024595

0.348706

0.256472

0.21699

0.180259

0.1411

0.118123

0

0.015555

0.242868

11,463

331

176

34.63142

0.696509

0.145686

0

0.254054

0

0.108553

0

0.003021

0

1

0.032432

false

0

0.07027

0

0.113514

0.07027

0

null

0

null

0

1

0

81617162fc6604315b045e09dee8878d1bf83430

4,826

py

Python

UI/test/ui_test.py

tunapro1234/ai.destroy

0c0e1be378e40ef069fcafaa91eb9c98de31520f

[ "MIT" ]

null

UI/test/ui_test.py

tunapro1234/ai.destroy

0c0e1be378e40ef069fcafaa91eb9c98de31520f

[ "MIT" ]

null

UI/test/ui_test.py

tunapro1234/ai.destroy

0c0e1be378e40ef069fcafaa91eb9c98de31520f

[ "MIT" ]

null

import pygame_gui import pygame class colors: black = "#000000" dimgrey = "#696969" # lmao darkslategray = "#2F4F4F" TITLE = "TUNAPRO1234" BACKGROUND = colors.darkslategray WIDTH, HEIGHT = 1920, 1080 """ Hızlıca bir plan yapacağım Neural ağları kontrol edebileceğimiz küçük bir framework Ağların geli...

33.282759

187

0.643804

559

4,826

5.370304

0.359571

0.056962

0.045303

0.051299

0.214857

0.17988

0.138574

0.117921

0.07495

0.051632

0

0.037828

0.233112

4,826

145

188

33.282759

0.773305

0.122462

0

0.06503

0

1

0.027397

false

0

0.027397

0

0.123288

0.068493

0

null

0

null

0

1

0

8163184bea4450d8faedd6f3d068c99c6560b188

2,814

py

Python

tests/test_temperature_system.py

SmartSleepIoT/SmartSleepCoding

21c19489f0c477cbfbabd3a1d232f526f84a9e49

[ "BSD-3-Clause" ]

null

tests/test_temperature_system.py

SmartSleepIoT/SmartSleepCoding

21c19489f0c477cbfbabd3a1d232f526f84a9e49

[ "BSD-3-Clause" ]

41

2021-10-20T17:54:59.000Z

2022-02-02T20:43:53.000Z

tests/test_temperature_system.py

SmartSleepIoT/SmartSleepCoding

21c19489f0c477cbfbabd3a1d232f526f84a9e49

[ "BSD-3-Clause" ]

null

import time import pytest from flask import g from flask import session import paho.mqtt.client as paho from SmartSleep.db import get_db from flask import json import runpy msg_nr = 0 messages = [""] broker = 'broker.emqx.io' port = 1883 def update_contor(): global msg_nr msg_nr += 1 def on_message(client...

29.621053

105

0.646411

384

2,814

4.630208

0.203125

0.114736

0.148481

0.121485

0.634421

0.573116

0.517998

0.495501

0

0.049296

0.24307

2,814

94

106

29.93617

0.785446

0

0.486486

0

0.303235

0.105937

0

0.148649

1

0.040541

false

0

0.108108

0

0.148649

0

null

0

null

0

1

0

81643c548f00589437ba73490093135a47e9e5d0

470

py

Python

readtest.py

pyEtherCAT/Test-Source

32e7f36873cf311580acc25ab76db589e209e479

[ "MIT" ]

null

readtest.py

pyEtherCAT/Test-Source

32e7f36873cf311580acc25ab76db589e209e479

[ "MIT" ]

null

readtest.py

pyEtherCAT/Test-Source

32e7f36873cf311580acc25ab76db589e209e479

[ "MIT" ]

null

from pyEtherCAT import MasterEtherCAT #ライブラリの読出し nic = "eth0" # ネットワークカードのアドレスを記載 cat = MasterEtherCAT.MasterEtherCAT(nic) ADP = 0x0000 #1台目 ADDR = 0x0E00 #コアレジスタのアドレス cat.APRD(IDX=0x00, ADP=ADP, ADO=ADDR, DATA=[0,0,0,0,0,0,0,0]) #DATAは０を８個(64bit分)の枠を指示 (DATA, WKC) = cat.socket_read() #結果を読出し print("[0x{:04X}]= 0x{:...

47

158

0.691489

78

470

4.153846

0.525641

0.04321

0.055556

0.061728

0.123457

0.098765

0

0.13164

0.078723

470

10

159

47

0.616628

0.174468

0

0.125

0.196335

0.15445

0

0.041885

0

1

0

false

0

0.125

0

0.125

0

null

0

null

0

1

0

8167b0d56a737d008f46fbbcfb74a28e00ab2a2b

1,353

py

Python

python/dataingest/grammar/dmo/python_loc_parser.py

jiportilla/ontology

8a66bb7f76f805c64fc76cfc40ab7dfbc1146f40

[ "MIT" ]

null

python/dataingest/grammar/dmo/python_loc_parser.py

jiportilla/ontology

8a66bb7f76f805c64fc76cfc40ab7dfbc1146f40

[ "MIT" ]

null

python/dataingest/grammar/dmo/python_loc_parser.py

jiportilla/ontology

8a66bb7f76f805c64fc76cfc40ab7dfbc1146f40

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: UTF-8 -*- import pprint from base import BaseObject from base import FileIO class PythonLOCParser(BaseObject): """ Parse T/LOC from a Python File """ def __init__(self, file_path: str, is_debug: bool = False): """ C...

24.160714

103

0.554324

160

1,353

4.4125

0.4875

0.067989

0

0.022148

0.332594

1,353

55

104

24.6

0.75969

0.209904

0

0.047475

0

1

0.111111

false

0

0.111111

0

0.333333

0.074074

0

null

0

null

0

1

0

8168288e7e0624056cb2c2cd06a6e71eb7b00f91

255

py

Python

time_series_data_generator/csv_to_df_generator.py

ArtHackDay-Plus1/ParameterServer

5e6e57154d2d29e311b9a725fd3b9ac8c5b99a74

[ "MIT" ]

null

time_series_data_generator/csv_to_df_generator.py

ArtHackDay-Plus1/ParameterServer

5e6e57154d2d29e311b9a725fd3b9ac8c5b99a74

[ "MIT" ]

7

2018-03-10T09:44:34.000Z

2018-06-17T09:44:59.000Z

time_series_data_generator/csv_to_df_generator.py

ArtHackDay-Plus1/ParameterServer

5e6e57154d2d29e311b9a725fd3b9ac8c5b99a74

[ "MIT" ]

1

2018-03-10T04:56:01.000Z

import pandas as pd import time df = pd.read_csv("data/sample.csv") for num in range(1000): argx = str(df["x"][num:num+1].get_values()) argy = str(df["y"][num:num+1].get_values()) print("x:{0} / y:{1}".format(argx,argy)) time.sleep(0.1)

23.181818

47

0.611765

48

255

3.1875

0.5625

0.065359

0.091503

0.130719

0.20915

0

0.046729

0.160784

255

10

48

25.5

0.668224

0

0.117647

0

1

0

false

0

0.25

0

0.25

0.125

0

null

0

null

0

1

0

8169c20b93a9491060201043f0c1a523fd5bc8ec

1,924

py

Python

twister2/python-support/src/main/python/twister2/tset/TLink.py

pulasthi/twister2

40b73bdf7dcb778d957c3f146baf825a97dceae5

[ "Apache-2.0" ]

63

2017-08-31T10:02:52.000Z

2021-12-18T21:42:14.000Z

twister2/python-support/src/main/python/twister2/tset/TLink.py

pulasthi/twister2

40b73bdf7dcb778d957c3f146baf825a97dceae5

[ "Apache-2.0" ]

284

2017-10-20T15:35:26.000Z

2020-09-11T15:25:40.000Z

twister2/python-support/src/main/python/twister2/tset/TLink.py

pulasthi/twister2

40b73bdf7dcb778d957c3f146baf825a97dceae5

[ "Apache-2.0" ]

44

2017-08-21T19:47:57.000Z

2020-11-22T22:45:50.000Z

from inspect import signature import twister2.tset.TSet as ts from twister2.utils import function_wrapper class TLink: def __init__(self, java_ref, env): self.__java_ref = java_ref self.__env = env def map(self, lam): map_wrapper = function_wrapper(lam) map_func_java_ref = s...

42.755556

96

0.72817

277

1,924

4.552347

0.184116

0.138779

0.122125

0.133228

0.514671

0.461538

0.373513

0.166535

0.088818

0

0.001933

0.193347

1,924

44

97

43.727273

0.810567

0.0421

0

1

0.176471

false

0

0.088235

0

0.441176

0

null

0

null

0

1

0

816e5b3d645c0e4cb41592db326d16685c653103

9,373

py

Python

e2cnn/nn/modules/nonlinearities/concatenated.py

ziatdinovmax/e2cnn

e486a0d2cec71f2bde2d61f2f1315922f2883cee

[ "BSD-3-Clause" ]

null

e2cnn/nn/modules/nonlinearities/concatenated.py

ziatdinovmax/e2cnn

e486a0d2cec71f2bde2d61f2f1315922f2883cee

[ "BSD-3-Clause" ]

null

e2cnn/nn/modules/nonlinearities/concatenated.py

ziatdinovmax/e2cnn

e486a0d2cec71f2bde2d61f2f1315922f2883cee

[ "BSD-3-Clause" ]

null

from e2cnn.gspaces import * from e2cnn.nn import FieldType from e2cnn.nn import GeometricTensor from e2cnn.group import Representation from e2cnn.group.representation import build_from_discrete_group_representation from ..equivariant_module import EquivariantModule import torch from typing import List, Tuple, Any i...

37.047431

124

0.559159

1,038

9,373

4.968208

0.229287

0.019779

0.011635

0.010083

0.213496

0.154159

0.130308

0.114408

0.100446

0

0.014372

0.36157

9,373

252

125

37.194444

0.847426

0.275365

0

0.128788

0

0.047968

0.003997

0

0.05303

1

0.045455

false

0

0.075758

0

0.166667

0.007576

0

null

0

null

0

1

0

81710a8f5de8e268c2f9c31947a6e69ae41e9b04

2,551

py

Python

modules/gathering/host_gathering.py

anouarbensaad/VulnX

2f9f46e59f28ceb6d5cf3bfacd9810d43b4b25cb

[ "MIT" ]

10

2019-05-10T04:43:54.000Z

2019-05-16T00:45:46.000Z

modules/gathering/host_gathering.py

anouarbensaad/VulnX

2f9f46e59f28ceb6d5cf3bfacd9810d43b4b25cb

[ "MIT" ]

null

modules/gathering/host_gathering.py

anouarbensaad/VulnX

2f9f46e59f28ceb6d5cf3bfacd9810d43b4b25cb

[ "MIT" ]

8

2019-05-13T04:25:11.000Z

2019-05-15T02:47:49.000Z

import requests import re import socket from common.colors import bad,que, info, good,run,W,end from common.uriParser import parsing_url as hostd class GatherHost(): def __init__(self,url,headers=None): self.url = url self.headers = headers def match_info(self,regex,data): match ...

42.516667

95

0.53822

302

2,551

4.456954

0.307947

0.080238

0.071322

0.062407

0.037147

0

0.01323

0.288906

2,551

60

96

42.516667

0.728776

0

0.058824

0

0.18221

0

1

0.098039

false

0

0.098039

0

0.235294

0.294118

0

null

0

null

0

1

0

8173b9a0c93895ba388cef8eeda4fb14eb4184e3

15,988

py

Python

website/admin.py

jonfroehlich/makeabilitylabwebsite

0b322b5a172cf1d4edc63559e3de713ad3e3542c

[ "MIT" ]

2

2017-06-19T02:24:48.000Z

2018-10-25T09:14:59.000Z

website/admin.py

jonfroehlich/makeabilitylabwebsite

0b322b5a172cf1d4edc63559e3de713ad3e3542c

[ "MIT" ]

571

2017-06-14T13:38:45.000Z

2020-07-17T18:15:58.000Z

website/admin.py

jonfroehlich/makeabilitylabwebsite

0b322b5a172cf1d4edc63559e3de713ad3e3542c

[ "MIT" ]

7

2017-12-06T21:51:29.000Z

2020-06-18T19:58:36.000Z

from django.contrib import admin from django.contrib.admin import widgets from .models import Person, Publication, Position, Talk, Project, Poster, Keyword, News, Banner, Video, Project_header, Photo, Project_umbrella, Project_Role, Sponsor from website.admin_list_filters import PositionRoleListFilter, PositionTitleLis...

58.99631

185

0.714411

1,956

15,988

5.67638

0.199898

0.032784

0.02774

0.017563

0.49257

0.470143

0.440331

0.403765

0.387193

0.368819

0

0.010616

0.169252

15,988

270

186

59.214815

0.825328

0.315987

0

0.262195

0

0.18658

0.030468

0

0.003704

0

1

0.054878

false

0

0.097561

0

0.469512

0.036585

0

null

0

null

0

1

0

8173fb74546ca4fcfb60600f03ab6b477c4abacb

6,191

py

Python

python/annotation_orthologs_inference.py

liebermanlab/wide-variant

2fe4c54d1e4bcf0e5e06313cc9696588ab105653

[ "Unlicense" ]

null

python/annotation_orthologs_inference.py

liebermanlab/wide-variant

2fe4c54d1e4bcf0e5e06313cc9696588ab105653

[ "Unlicense" ]

null

python/annotation_orthologs_inference.py

liebermanlab/wide-variant

2fe4c54d1e4bcf0e5e06313cc9696588ab105653

[ "Unlicense" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Wed Jun 26 21:39:04 2019 @author: fmk """ import argparse,subprocess,string,random import pandas as pd ''' positional and optional argument parser''' parser = argparse.ArgumentParser(formatter_class=argparse.RawDescriptionHelpFormatter, ...

45.189781

182

0.65466

798

6,191

4.868421

0.33208

0.045302

0.046332

0.029601

0.165766

0.095238

0.046847

0

0.014253

0.229365

6,191

137

183

45.189781

0.800042

0.225166

0

0.08

0

0.026667

0.206359

0.009816

0.013333

0

1

0.04

false

0

0.026667

0

0.12

0.04

0

null

0

null

0

1

0

81740534e476d32c799f65e43f16716d4ed45822

708

py

Python

tests/test_vtable.py

matthewpruett/angr

bfba2af1ea2eb941001339f47a1264a685c60eec

[ "BSD-2-Clause" ]

6,132

2015-08-06T23:24:47.000Z

2022-03-31T21:49:34.000Z

tests/test_vtable.py

matthewpruett/angr

bfba2af1ea2eb941001339f47a1264a685c60eec

[ "BSD-2-Clause" ]

2,272

2015-08-10T08:40:07.000Z

2022-03-31T23:46:44.000Z

tests/test_vtable.py

matthewpruett/angr

bfba2af1ea2eb941001339f47a1264a685c60eec

[ "BSD-2-Clause" ]

1,155

2015-08-06T23:37:39.000Z

2022-03-31T05:54:11.000Z

import os import angr test_location = os.path.join(os.path.dirname(os.path.realpath(__file__)), '..', '..', 'binaries', 'tests') def test_vtable_extraction_x86_64(): p = angr.Project(os.path.join(test_location, "x86_64", "cpp_classes"), auto_load_libs=False) vtables_sizes = {0x403cb0: 24, 0x403cd8: 1...

32.181818

107

0.689266

91

708

5.021978

0.516484

0.052516

0.043764

0.100656

0.109409

0

0.109185

0.185028

708

21

108

33.714286

0.682842

0

0.061135

0

0.093159

0

0.214286

1

0.071429

false

0

0.142857

0

0.214286

0

null

0

null

0

1

0

81741edd16ac8dabfdb435a60121ed91382e9d89

465

py

Python

sendmail.py

loitd/buzreportgenerator

8d07be40b68859ca15173f3b229dd93f6bb39809

[ "MIT" ]

null

sendmail.py

loitd/buzreportgenerator

8d07be40b68859ca15173f3b229dd93f6bb39809

[ "MIT" ]

null

sendmail.py

loitd/buzreportgenerator

8d07be40b68859ca15173f3b229dd93f6bb39809

[ "MIT" ]

null

from zeep import Client def test(): client = Client('http://www.dneonline.com/calculator.asmx?wsdl') result = client.service.Add(100,220) print(result) def test2(): client = Client('http://172.16.237.11:8080/SendNotify_Interface_Gmail/services/Notify?wsdl') result = client.service.sendEmail("loitd...

33.214286

131

0.696774

62

465

5.064516

0.677419

0.076433

0.101911

0.146497

0

0.057214

0.135484

465

14

132

33.214286

0.723881

0

0.181818

0

0.422747

0.090129

0

1

0.181818

false

0

0.090909

0

0.272727

0.181818

0

null

0

null

0

1

0

817503f7a5b9852ce0db8730044ea4170fe4eb91

13,998

py

Python

examples/map.py

jlsajfj/NBT

a7aaaadce423cd50f941ccd5cd25fbd071651336

[ "MIT" ]

241

2015-01-14T22:49:03.000Z

2022-03-17T06:46:44.000Z

examples/map.py

jlsajfj/NBT

a7aaaadce423cd50f941ccd5cd25fbd071651336

[ "MIT" ]

78

2015-01-02T15:01:06.000Z

2022-03-12T16:06:23.000Z

examples/map.py

jlsajfj/NBT

a7aaaadce423cd50f941ccd5cd25fbd071651336

[ "MIT" ]

87

2015-01-24T20:02:29.000Z

2022-03-17T21:32:24.000Z

#!/usr/bin/env python """ Prints a map of the entire world. """ import os, sys import math from struct import pack # local module try: import nbt except ImportError: # nbt not in search path. Let's see if it can be found in the parent folder extrasearchpath = os.path.realpath(os.path.join(__file__,os.pardi...

41.660714

128

0.473282

1,969

13,998

3.257491

0.225495

0.01029

0.014967

0.016838

0.246804

0.223262

0.155285

0.084814

0.039913

0

0.080309

0.324832

13,998

335

129

41.785075

0.598349

0.211887

0

0.080508

0

0.004237

0.128587

0

0.002985

0

1

0.025424

false

0

0.042373

0

0.101695

0.033898

0

null

0

null

0

1

0

8177b1f754a6ce02d1d064390b7211e8eae1df80

8,595

py

Python

femagtools/vtu.py

dapu/femagtools

95eaf750adc2013232cdf482e523b3900ac6eb08

[ "BSD-2-Clause" ]

null

femagtools/vtu.py

dapu/femagtools

95eaf750adc2013232cdf482e523b3900ac6eb08

[ "BSD-2-Clause" ]

null

femagtools/vtu.py

dapu/femagtools

95eaf750adc2013232cdf482e523b3900ac6eb08

[ "BSD-2-Clause" ]

null

""" femagtools.vtu ~~~~~~~~~~~~~~ Read FEMAG vtu files """ import vtk import pathlib import numpy as np class Reader(object): '''Class to read vtu-files''' def __init__(self, pathname): '''Read the vtu-files Parameters ---------- pathname : str Directo...

31.254545

83

0.52135

1,027

8,595

4.208374

0.118793

0.053679

0.04211

0.022906

0.490745

0.421101

0.364877

0.325544

0.255206

0.201758

0

0.006872

0.373589

8,595

274

84

31.368613

0.795877

0.20954

0

0.366667

0

0.017177

0

1

0.06

false

0

0.02

0

0.16

0

null

0

null

0

1

0

81788a0ffc02bedb32998891f0a147adfc80c30e

1,507

py

Python

pymps/ansatz/tests/test_sweeper.py

GiggleLiu/pymps

c8314581010d68d3fa34af6e87b6af2969fc261d

[ "MIT" ]

4

2018-02-17T05:35:54.000Z

2021-09-12T10:14:57.000Z

pymps/ansatz/tests/test_sweeper.py

GiggleLiu/pymps

c8314581010d68d3fa34af6e87b6af2969fc261d

[ "MIT" ]

null

pymps/ansatz/tests/test_sweeper.py

GiggleLiu/pymps

c8314581010d68d3fa34af6e87b6af2969fc261d

[ "MIT" ]

null

#!/usr/bin/python ''' Tests for MPS and MPO ''' from numpy import * import matplotlib.pyplot as plt from numpy.testing import dec, assert_, assert_raises, assert_almost_equal, assert_allclose import pdb from ..sweep import * def test_iterator(): start = (1, '->', 2) stop = (3, '<-', 1) print('Testing ite...

31.395833

91

0.512276

219

1,507

3.415525

0.246575

0.02139

0.037433

0.048128

0.525401

0.454545

0.328877

0.219251

0

0.066489

0.251493

1,507

47

92

32.06383

0.596631

0.025216

0

0.222222

0

0.085558

0

0.138889

1

0.027778

false

0

0.138889

0

0.166667

0

null

0

null

0

1

0

8178e5a5cdd16d8a39e43e9f1e2b33dd9e55953c

4,471

py

Python

ui/numbered_menu.py

LouisPi/PiPortableRecorder

430a4b6e1e869cbd68fd89bbf97261710fd7db6b

[ "Apache-2.0", "MIT" ]

51

2017-12-03T21:59:13.000Z

2021-01-02T17:13:34.000Z

ui/numbered_menu.py

LouisPi/PiPortableRecorder

430a4b6e1e869cbd68fd89bbf97261710fd7db6b

[ "Apache-2.0", "MIT" ]

153

2017-10-27T19:59:46.000Z

2020-01-14T23:58:57.000Z

ui/numbered_menu.py

LouisPi/PiPortableRecorder

430a4b6e1e869cbd68fd89bbf97261710fd7db6b

[ "Apache-2.0", "MIT" ]

26

2017-11-16T11:10:56.000Z

2022-03-29T18:44:48.000Z

from threading import Lock from time import time from ui import Menu from ui.utils import clamp, check_value_lock, to_be_foreground class NumberedMenu(Menu): """ This Menu allows the user to jump to entries using the numpad. If the menu is 10 entries or less the navigation is instant. Otherwise, it lets ...

33.616541

116

0.635652

609

4,471

4.454844

0.262726

0.075194

0.076668

0.029488

0.265389

0.117951

0.101732

0.053815

0

0.010523

0.277343

4,471

132

117

33.871212

0.829155

0.191009

0

0.252747

0

0.01427

0

1

0.175824

false

0

0.043956

0.021978

0.351648

0

null

0

null

0

1

0

8179e93b1b83227b20bf562f4c5eea1ac565d48c

358

py

Python

Math/RussianPeasantMultiplication.py

kopok2/algorithms

efb6a423a8447d99584335e9fef8d9b3c74e2ad8

[ "MIT" ]

null

Math/RussianPeasantMultiplication.py

kopok2/algorithms

efb6a423a8447d99584335e9fef8d9b3c74e2ad8

[ "MIT" ]

null

Math/RussianPeasantMultiplication.py

kopok2/algorithms

efb6a423a8447d99584335e9fef8d9b3c74e2ad8

[ "MIT" ]

null

# coding=utf-8 """Russian Peasant Multiplication algorithm Python implementation.""" def russ_peasant(a, b): res = 0 while b > 0: if b & 1: res += a a <<= 1 b >>= 1 return res if __name__ == '__main__': for x in range(10): for y in range(10): p...

18.842105

69

0.511173

52

358

3.326923

0.538462

0.034682

0.104046

0

0.043478

0.357542

358

18

70

19.888889

0.708696

0.215084

0

0.029091

0

1

0.083333

false

0

0.166667

0.083333

0

null

0

null

0

1

0

817af60b313398519be2e69061cd3bf593b81217

2,972

py

Python

gluon/dal/adapters/teradata.py

lightcoder127/Web2py

d604816b487aaf758075805cffdb89f45dea906e

[ "BSD-3-Clause" ]

2

2017-02-02T00:31:48.000Z

2017-08-08T22:36:25.000Z

gluon/dal/adapters/teradata.py

crania/containerservices

0ffbadb3b5a259abc74ed433b69bf6342b99ef83

[ "BSD-3-Clause" ]

null

gluon/dal/adapters/teradata.py

crania/containerservices

0ffbadb3b5a259abc74ed433b69bf6342b99ef83

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- from .._globals import IDENTITY from ..connection import ConnectionPool from .base import BaseAdapter class TeradataAdapter(BaseAdapter): drivers = ('pyodbc',) types = { 'boolean': 'CHAR(1)', 'string': 'VARCHAR(%(length)s)', 'text': 'VARCHAR(2000)', 'j...

38.102564

156

0.601615

357

2,972

4.845938

0.453782

0.025434

0.024277

0.028902

0.07052

0.023121

0

0.0217

0.25572

2,972

77

157

38.597403

0.760398

0.138627

0

0.26324

0.012554

0

1

0.096774

false

0.016129

0.048387

0.032258

0.258065

0

null

0

null

0

1

0

817bffa6766be54af974175321c8e15902437d0a

8,367

py

Python

conan_tests/external_tools/vswhere_test.py

conan-io/test

273835a701aca3934694dfa1ec082e58d5332660

[ "MIT" ]

2

2019-02-09T10:18:25.000Z

2020-12-15T22:22:03.000Z

conan_tests/external_tools/vswhere_test.py

conan-io/test

273835a701aca3934694dfa1ec082e58d5332660

[ "MIT" ]

9

2018-02-22T21:42:17.000Z

2020-10-16T03:54:19.000Z

conan_tests/external_tools/vswhere_test.py

conan-io/test

273835a701aca3934694dfa1ec082e58d5332660

[ "MIT" ]

7

2017-12-19T09:35:31.000Z

2020-09-23T16:17:59.000Z

import os import platform import unittest import nose from conans import tools from conans.errors import ConanException from conans.model.version import Version from conans import __version__ as client_version from conans.model import settings from conans.test.utils.tools import TestClient from conans.test.assets.vis...

45.472826

126

0.676826

947

8,367

5.795143

0.165787

0.068149

0.026057

0.032799

0.573069

0.540634

0.531341

0.483601

0.37992

0

0.020748

0.216565

8,367

183

127

45.721311

0.816476

0.102546

0

0.387597

0

0.229526

0.069472

0

0.294574

1

0.046512

false

0

0.093023

0

0.186047

0

null

0

null

0

1

0

817dad7fd6fc56d0d2967576e42cee9331599cf9

7,797

py

Python

pinliner/pinliner.py

minazukie/pinliner

4d1f879a8df2b03e7335536735840274bbb26416

[ "Apache-2.0" ]

53

2016-03-29T10:30:41.000Z

2022-03-23T17:49:38.000Z

pinliner/pinliner.py

minazukie/pinliner

4d1f879a8df2b03e7335536735840274bbb26416

[ "Apache-2.0" ]

4

2017-07-21T15:21:54.000Z

2022-03-17T19:51:07.000Z

pinliner/pinliner.py

minazukie/pinliner

4d1f879a8df2b03e7335536735840274bbb26416

[ "Apache-2.0" ]

9

2017-07-21T18:05:45.000Z

2022-01-15T19:57:00.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import absolute_import import argparse import json import os from pinliner import __version__ import sys TEMPLATE_FILE = 'importer.template' TEMPLATE_PATTERN = '${CONTENTS}' def output(cfg, what, newline=True): # We need indentation for PEP8 cfg...

36.434579

79

0.62896

1,039

7,797

4.574591

0.262753

0.018935

0.025037

0.015148

0.131917

0.083526

0.078266

0.047549

0.020198

0

0.003662

0.264461

7,797

213

80

36.605634

0.821622

0.116455

0

0.052288

0

0.268211

0.003205

0

1

0.071895

false

0

0.078431

0.006536

0.196078

0.006536

0

null

0

null

0

1

0

817ee460ad53e44fa65e444a49afe839ce9a20b2

2,570

py

Python

GAScore/testbench/hold_buffer.py

sharm294/shoal

db7dd08a70882585fb9740a39b57b4b7a48b3081

[ "MIT" ]

1

2021-04-12T06:41:33.000Z

GAScore/testbench/hold_buffer.py

UofT-HPRC/shoal

db7dd08a70882585fb9740a39b57b4b7a48b3081

[ "MIT" ]

null

GAScore/testbench/hold_buffer.py

UofT-HPRC/shoal

db7dd08a70882585fb9740a39b57b4b7a48b3081

[ "MIT" ]

null

import os from sonar.testbench import Testbench, Module, TestVector, Thread from sonar.interfaces import AXIS from sonar_strToInt import strToInt hold_buffer = Testbench.default('hold_buffer') filepath = os.path.join(os.path.dirname(__file__), 'build/hold_buffer/') dut = Module.default("DUT") dut.add_clock_port('ap...

27.934783

95

0.614008

343

2,570

4.250729

0.262391

0.061728

0.038409

0.034979

0.390947

0.237311

0.163237

0.113855

0

0.023629

0.077821

2,570

91

96

28.241758

0.591561

0.162257

0

0.1

0

0.146821

0

0.020182

0

1

0

false

0

0.066667

0

0.066667

0.033333

0

null

0

null

0

1

0

8180ea48ed0eaf64449e035d61a657bb7146e229

16,957

py

Python

vaxtools/utils/pair.py

menis/vaxtools

221343d0a2b9ecefc777ff5a94cb12eaa1524813

[ "MIT" ]

null

vaxtools/utils/pair.py

menis/vaxtools

221343d0a2b9ecefc777ff5a94cb12eaa1524813

[ "MIT" ]

null

vaxtools/utils/pair.py

menis/vaxtools

221343d0a2b9ecefc777ff5a94cb12eaa1524813

[ "MIT" ]

1

2018-10-10T21:59:08.000Z

#!/usr/bin/env python # filename: pair.py # # Copyright (c) 2015 Bryan Briney # License: The MIT license (http://opensource.org/licenses/MIT) # # 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...

37.766147

109

0.606062

2,278

16,957

4.408253

0.156277

0.027783

0.023302

0.011153

0.33808

0.297351

0.253137

0.228042

0.197769

0.149572

0

0.003614

0.298284

16,957

448

110

37.850446

0.840323

0.319632

0

0.172535

0

0.045389

0

1

0.112676

false

0

0.028169

0.010563

0.214789

0.007042

0

null

0

null

0

1

0

818971d06d80952ffaa6249ad6fd01e66412f03b

30,912

py

Python

tests/random/random_testing.py

jkeiren/mCRL2

3a60939f4e6dbc131e8ce87b1929bea9dbf90dd2

[ "BSL-1.0" ]

61

2018-05-24T13:14:05.000Z

2022-03-29T11:35:03.000Z

tests/random/random_testing.py

jkeiren/mCRL2

3a60939f4e6dbc131e8ce87b1929bea9dbf90dd2

[ "BSL-1.0" ]

229

2018-05-28T08:31:09.000Z

2022-03-21T11:02:41.000Z

tests/random/random_testing.py

jkeiren/mCRL2

3a60939f4e6dbc131e8ce87b1929bea9dbf90dd2

[ "BSL-1.0" ]

28

2018-04-11T14:09:39.000Z

2022-02-25T15:57:39.000Z

#!/usr/bin/env python # Copyright 2015 Wieger Wesselink. # Distributed under the Boost Software License, Version 1.0. # (See accompanying file LICENSE_1_0.txt or http://www.boost.org/LICENSE_1_0.txt) import os import os.path import random import re import sys import traceback sys.path += [os.path.abspath(os.path.join...

63.085714

280

0.606593

2,943

30,912

6.127761

0.137954

0.087169

0.074859

0.035766

0.491128

0.412166

0.332539

0.153377

0.1175

0.10092

0

0.006504

0.283773

30,912

489

281

63.214724

0.80804

0.040405

0

0.220297

0

0.141103

0.053803

0

0.007426

1

0.143564

false

0

0.032178

0.00495

0.294554

0.012376

0

null

0

null

0

1

0

818a52c58e57385fa71bcd403825bd6c6ac08eb9

15,748

py

Python

desktop/core/ext-py/josepy-1.1.0/src/josepy/json_util.py

kokosing/hue

2307f5379a35aae9be871e836432e6f45138b3d9

[ "Apache-2.0" ]

5,079

2015-01-01T03:39:46.000Z

2022-03-31T07:38:22.000Z

desktop/core/ext-py/josepy-1.1.0/src/josepy/json_util.py

zks888/hue

93a8c370713e70b216c428caa2f75185ef809deb

[ "Apache-2.0" ]

1,623

2015-01-01T08:06:24.000Z

2022-03-30T19:48:52.000Z

desktop/core/ext-py/josepy-1.1.0/src/josepy/json_util.py

zks888/hue

93a8c370713e70b216c428caa2f75185ef809deb

[ "Apache-2.0" ]

2,033

2015-01-04T07:18:02.000Z

2022-03-28T19:55:47.000Z

"""JSON (de)serialization framework. The framework presented here is somewhat based on `Go's "json" package`_ (especially the ``omitempty`` functionality). .. _`Go's "json" package`: http://golang.org/pkg/encoding/json/ """ import abc import binascii import logging import OpenSSL import six from josepy import b64,...

32.672199

78

0.625921

1,861

15,748

5.187534

0.186459

0.017091

0.038533

0.011187

0.263932

0.218769

0.14999

0.140046

0.122851

0.101305

0

0.009044

0.269812

15,748

481

79

32.740125

0.830507

0.397955

0

0.27

0

0.038713

0

1

0.155

false

0

0.03

0.01

0.38

0

null

0

null

0

1

0

818c9c67cc31addec97fe43bfd97c54843bc6cf4

6,463

py

Python

norm/executable/schema/variable.py

reasoned-ai/norm

5e45d5917ce8745c9a757a0c6b5e689ea0cac19f

[ "Apache-2.0" ]

8

2019-07-22T08:57:20.000Z

2021-03-26T13:51:02.000Z

norm/executable/schema/variable.py

xumiao/norm

5e45d5917ce8745c9a757a0c6b5e689ea0cac19f

[ "Apache-2.0" ]

null

norm/executable/schema/variable.py

xumiao/norm

5e45d5917ce8745c9a757a0c6b5e689ea0cac19f

[ "Apache-2.0" ]

1

2019-11-16T13:37:35.000Z

from norm.models.norm import Status, Lambda from norm.executable import NormExecutable from typing import Union, List import logging logger = logging.getLogger(__name__) class VariableName(NormExecutable): def __init__(self, scope, name): """ The variable and its scope :param scope: the ...

34.195767

116

0.597865

744

6,463

5.061828

0.155914

0.059745

0.026022

0.018056

0.364578

0.268455

0.215879

0.150558

0.122942

0

0.001132

0.316726

6,463

188

117

34.37766

0.851676

0.076899

0

0.404412

0

0.001026

0

0.005319

0.044118

1

0.147059

false

0

0.066176

0.051471

0.426471

0

null

0

null

0

1

0

818cc866ba9ab18156dde4bf30880a18007fbc03

3,318

py

Python

src/parserindexer/tika_parser.py

yyzhuang1991/parser-indexer-py

66847a6373d1fbc771e8ed9172a068731f9cd4da

[ "Apache-2.0" ]

8

2016-07-20T19:50:00.000Z

2020-09-15T01:56:51.000Z

src/parserindexer/tika_parser.py

yyzhuang1991/parser-indexer-py

66847a6373d1fbc771e8ed9172a068731f9cd4da

[ "Apache-2.0" ]

27

2016-08-01T13:39:25.000Z

2021-08-18T17:47:23.000Z

src/parserindexer/tika_parser.py

yyzhuang1991/parser-indexer-py

66847a6373d1fbc771e8ed9172a068731f9cd4da

[ "Apache-2.0" ]

3

2016-07-20T19:55:49.000Z

2021-08-06T16:19:48.000Z

from __future__ import print_function import os import sys import json import tika from tqdm import tqdm from utils import LogUtil from parser import Parser from ioutils import read_lines from tika import parser as tk_parser class TikaParser(Parser): """ The TikaParser class is wrapper of the Apache TIKA parse "...

31.6

80

0.611814

433

3,318

4.450346

0.293303

0.062273

0.060716

0.026466

0.099118

0.05397

0

0.000836

0.279084

3,318

104

81

31.903846

0.804766

0.066305

0

0.027397

0

0.207293

0.013798

0

1

0.054795

false

0

0.150685

0

0.232877

0.041096

0

null

0

null

0

1

0

818de49075c87063860cf616c4fbba1c27c95106

584

py

Python

py/server/deephaven/server/plugin/__init__.py

lbooker42/deephaven-core

2d04563f18ae914754b28041475c02770e57af15

[ "MIT" ]

null

py/server/deephaven/server/plugin/__init__.py

lbooker42/deephaven-core

2d04563f18ae914754b28041475c02770e57af15

[ "MIT" ]

null

py/server/deephaven/server/plugin/__init__.py

lbooker42/deephaven-core

2d04563f18ae914754b28041475c02770e57af15

[ "MIT" ]

null

# # Copyright (c) 2016-2022 Deephaven Data Labs and Patent Pending # import jpy _JCallbackAdapter = jpy.get_type('io.deephaven.server.plugin.python.CallbackAdapter') def initialize_all_and_register_into(callback: _JCallbackAdapter): try: from . import register except ModuleNotFoundError as e: ...

30.736842

116

0.717466

74

584

5.513514

0.689189

0.063725

0.078431

0.117647

0.176471

0

0.017429

0.214041

584

18

117

32.444444

0.87146

0.309932

0

0.163728

0.123426

0

1

0.1

false

0

0.2

0

0.4

0

null

0

null

0

1

0

818e56826eb6b882afcd422dcb192ea6b72a334b

3,133

py

Python

mypy/test/testoutput.py

TimSimpsonR/mypy

5e6fd6335e0662b0477e1d678269f33e6f4194ba

[ "PSF-2.0" ]

1

2019-06-27T11:34:27.000Z

mypy/test/testoutput.py

silky/mypy

de6a8d3710df9f49109cb682f2092e4967bfb92c

[ "PSF-2.0" ]

null

mypy/test/testoutput.py

silky/mypy

de6a8d3710df9f49109cb682f2092e4967bfb92c

[ "PSF-2.0" ]

null

"""Tests for parse tree pretty printing that preserves formatting Test case descriptions are in file test/data/output.test. """ import os.path import re from typing import Undefined, Any from mypy import build from mypy.myunit import Suite, run_test from mypy.test.helpers import assert_string_arrays_equal from mypy...

31.969388

79

0.578998

373

3,133

4.739946

0.38874

0.036199

0.024887

0.026018

0

0.000946

0.324928

3,133

97

80

32.298969

0.834988

0.205235

0

0.049393

0

0.030769

1

0.061538

false

0

0.184615

0.015385

0.307692

0

null

0

null

0

1

0

81909aed2c8da07e00d68c36e16753bcc2a5f66d

2,395

py

Python

tests/test_SklearnDecisionTreeConverters.py

c-bata/sklearn-onnx

ff3e2eb204991b5799fc606c265b2c283dbfc25c

[ "MIT" ]

1

2019-05-06T20:54:02.000Z

tests/test_SklearnDecisionTreeConverters.py

PossieMP/https-github.com-onnx-sklearn-onnx

48c60398d38e6937897d7c1506a8dcfcf28830a2

[ "MIT" ]

null

tests/test_SklearnDecisionTreeConverters.py

PossieMP/https-github.com-onnx-sklearn-onnx

48c60398d38e6937897d7c1506a8dcfcf28830a2

[ "MIT" ]

1

2020-04-09T07:46:52.000Z

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

38.015873

76

0.562004

198

2,395

6.383838

0.373737

0.126582

0.098892

0.114715

0.414557

0.378165

0

0.012441

0.295198

2,395

62

77

38.629032

0.736374

0.14572

0

0.42

0

0.249632

0.164296

0

1

0.04

false

0

0.12

0

0.18

0

null

0

null

0

1

0

8190b06cbd6a99f76c275c7c5d6181dfe355ab0d

7,005

py

Python

tests/test_inference.py

MihailSalnikov/microscopeimagequality

22d1f7c7f6793a0ba6f64c2aea2bf3270c32301b

[ "Apache-2.0" ]

77

2017-10-30T19:34:06.000Z

2022-01-20T17:15:10.000Z

tests/test_inference.py

MihailSalnikov/microscopeimagequality

22d1f7c7f6793a0ba6f64c2aea2bf3270c32301b

[ "Apache-2.0" ]

3

2020-07-02T22:20:46.000Z

2021-08-25T14:39:43.000Z

tests/test_inference.py

MihailSalnikov/microscopeimagequality

22d1f7c7f6793a0ba6f64c2aea2bf3270c32301b

[ "Apache-2.0" ]

40

2017-12-22T01:21:13.000Z

2022-03-13T22:28:59.000Z

import logging import os import tempfile import PIL.Image import numpy import tensorflow import microscopeimagequality.constants import microscopeimagequality.data_provider import microscopeimagequality.evaluation import microscopeimagequality.prediction class Inference(tensorflow.test.TestCase): def setUp(self...

44.056604

125

0.63469

764

7,005

5.510471

0.215969

0.024228

0.023753

0.026603

0.487411

0.398337

0.381473

0.362233

0.352732

0.312827

0

0.025529

0.284226

7,005

158

126

44.335443

0.81412

0.008851

0

0.300752

0

0.031696

0.025789

0

0.06015

1

0.037594

false

0

0.075188

0

0.120301

0

null

0

null

0

1

0

8190c488725fd5780c71f8986d5214f9a0371832

498

py

Python

config.py

hiankun/qb_test

ab031d74d903cdb8845a033d290611b444a5abdb

[ "MIT" ]

4

2015-03-07T19:15:28.000Z

2021-01-24T15:13:30.000Z

config.py

hiankun/qb_test

ab031d74d903cdb8845a033d290611b444a5abdb

[ "MIT" ]

null

config.py

hiankun/qb_test

ab031d74d903cdb8845a033d290611b444a5abdb

[ "MIT" ]

1

2017-07-03T06:55:24.000Z

""" QuickBot wiring config. Specifies which pins are used for motor control, IR sensors and wheel encoders. """ # Motor pins: (dir1_pin, dir2_pin, pwd_pin) RIGHT_MOTOR_PINS = 'P8_12', 'P8_10', 'P9_14' LEFT_MOTOR_PINS = 'P8_14', 'P8_16', 'P9_16' # IR sensors (clock-wise, starting with the rear left sensor): # rear-l...

23.714286

79

0.690763

84

498

3.833333

0.535714

0.083851

0.068323

0

0.097156

0.15261

498

20

80

24.9

0.665877

0.600402

0

0.353261

0

1

0

false

0

null

0

null

0

1

0

81977d254cadb7ee5093cb2ff32e221394f8fe36

8,455

py

Python

Miscellaneous/test_script_pymc3/multinominal.py

junpenglao/Planet_Sakaar_Data_Science

73d9605b91b774a56d18c193538691521f679f16

[ "MIT" ]

51

2018-04-08T19:53:15.000Z

2021-11-24T21:08:25.000Z

Miscellaneous/test_script_pymc3/multinominal.py

junpenglao/Planet_Sakaar_Data_Science

73d9605b91b774a56d18c193538691521f679f16

[ "MIT" ]

2

2018-05-29T20:50:37.000Z

2020-09-12T07:14:08.000Z

Miscellaneous/test_script_pymc3/multinominal.py

junpenglao/Planet_Sakaar_Data_Science

73d9605b91b774a56d18c193538691521f679f16

[ "MIT" ]

13

2018-07-21T09:53:10.000Z

2021-06-07T19:06:26.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Mon Sep 11 13:30:53 2017 @author: laoj """ import numpy as np import pymc3 as pm import theano.tensor as tt from pymc3.distributions.distribution import Discrete, draw_values, generate_samples, infer_shape from pymc3.distributions.dist_math import bound, lo...

30.970696

135

0.543465

1,234

8,455

3.666937

0.213938

0.038011

0.045083

0.044199

0.380773

0.338343

0.322873

0.289061

0.24442

0.206409

0

0.12629

0.277942

8,455

273

136

30.970696

0.614906

0.110822

0

0.393035

0

0.007773

0

0.00995

1

0.049751

false

0

0.044776

0

0.154229

0.004975

0

null

0

null

0

1

0

819a9225919d23f1c377fd7749da7d7ea0d1e851

2,896

py

Python

src/implant/commands/__init__.py

diefans/debellator

44203174ef8e0702be577a9e08dedde40e3ce1fe

[ "Apache-2.0" ]

2

2018-09-08T00:04:43.000Z

2021-07-20T01:31:09.000Z

src/implant/commands/__init__.py

diefans/implant

44203174ef8e0702be577a9e08dedde40e3ce1fe

[ "Apache-2.0" ]

null

src/implant/commands/__init__.py

diefans/implant

44203174ef8e0702be577a9e08dedde40e3ce1fe

[ "Apache-2.0" ]

null

# Copyright 2018 Oliver Berger # # 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,...

28.96

85

0.648481

363

2,896

5.07989

0.421488

0.032538

0.02115

0.027657

0.173536

0.042299

0

0.006013

0.253453

2,896

99

86

29.252525

0.846901

0.239641

0

0.169811

0

0.085136

0.013346

0

0.002761

0

1

0.037736

false

0

0.113208

0

0.358491

0

null

0

null

0

1

0

819c97d3aababb49d55ab8197540259628b81475

3,132

py

Python

CIM14/CPSM/Equipment/LoadModel/SubLoadArea.py

MaximeBaudette/PyCIM

d68ee5ccfc1d32d44c5cd09fb173142fb5ff4f14

[ "MIT" ]

58

2015-04-22T10:41:03.000Z

2022-03-29T16:04:34.000Z

CIM14/CPSM/Equipment/LoadModel/SubLoadArea.py

MaximeBaudette/PyCIM

d68ee5ccfc1d32d44c5cd09fb173142fb5ff4f14

[ "MIT" ]

12

2015-08-26T03:57:23.000Z

2020-12-11T20:14:42.000Z

CIM14/CPSM/Equipment/LoadModel/SubLoadArea.py

MaximeBaudette/PyCIM

d68ee5ccfc1d32d44c5cd09fb173142fb5ff4f14

[ "MIT" ]

35

2015-01-10T12:21:03.000Z

2020-09-09T08:18:16.000Z

# Copyright (C) 2010-2011 Richard Lincoln # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to # deal in the Software without restriction, including without limitation the # rights to use, copy, modify, merge, publish...

36

129

0.685185

387

3,132

5.457364

0.392765

0.0625

0.045455

0.017045

0.132576

0.105114

0.070076

0.043561

0

0.004209

0.241379

3,132

86

130

36.418605

0.88468

0.461047

0

0.1

0

0.017252

0

1

0.175

false

0

0.025

0

0.475

0

null

0

null

0

1

0

819e28662a5c7fe45f90d593ee3b3db086815aa5

369

py

Python

bin/clean_pdb.py

caixiuhong/Stable-MCCE

186bdafdf1d631994b2cdd6ec6a548383f559929

[ "MIT" ]

null

bin/clean_pdb.py

caixiuhong/Stable-MCCE

186bdafdf1d631994b2cdd6ec6a548383f559929

[ "MIT" ]

null

bin/clean_pdb.py

caixiuhong/Stable-MCCE

186bdafdf1d631994b2cdd6ec6a548383f559929

[ "MIT" ]

null

#!/usr/bin/env python import sys HATOMS = ["HG", "HD", "HE", "HH"] lines = open(sys.argv[1]).readlines() for line in lines: if line[:6] == "ATOM " or line[:6] == "HETATM": if line[17:20] == "WAT": continue if line[13] == "H": continue if line[12:14] in HATOMS: ...

23.0625

52

0.490515

51

369

3.54902

0.686275

0.132597

0.154696

0

0.051587

0.317073

369

15

53

24.6

0.666667

0.054201

0

0.25

0

0.074713

0

1

0

false

0

0.083333

0

0.083333

0

null

0

null

0

1

0

819e7c6d0a67bfff73dacc1d420e6cd83f55ee9f

7,693

py

Python

old_logen/pylogen/OutputBook.py

leuschel/logen

0ea806f54628162615e25177c3ed98f6b2c27935

[ "Apache-2.0" ]

14

2015-10-16T11:35:30.000Z

2021-05-12T15:31:16.000Z

old_logen/pylogen/OutputBook.py

leuschel/logen

0ea806f54628162615e25177c3ed98f6b2c27935

[ "Apache-2.0" ]

null

old_logen/pylogen/OutputBook.py

leuschel/logen

0ea806f54628162615e25177c3ed98f6b2c27935

[ "Apache-2.0" ]

5

2015-10-16T12:44:41.000Z

2019-10-02T02:45:38.000Z

import Pmw import os import re from FastIndex import FastIndex, timer from PrologFrame import PrologFrame from TerminalFrame import TerminalFrame class OutputBook(Pmw.NoteBook): def __init__(self, master=None): self.app = master Pmw.NoteBook.__init__(self, self.app.bottom,createcommand=self.create...

34.191111

100

0.573508

949

7,693

4.454162

0.169652

0.09463

0.043057

0.038325

0.256447

0.162527

0.134138

0.072628

0.047788

0

0.004662

0.302873

7,693

224

101

34.34375

0.783517

0.027688

0

0.111111

0

0.046319

0.002811

0

1

0.122807

false

0.011696

0.035088

0

0.192982

0

null

0

null

0

1

0

819fb9161fe72a4b226194ee2bfb3c7088844885

743

py

Python

vectorize.py

tomohiroando/recipe_gan

00f7418dfc5ee732e6d2de33d9c397e24f304864

[ "MIT" ]

null

vectorize.py

tomohiroando/recipe_gan

00f7418dfc5ee732e6d2de33d9c397e24f304864

[ "MIT" ]

null

vectorize.py

tomohiroando/recipe_gan

00f7418dfc5ee732e6d2de33d9c397e24f304864

[ "MIT" ]

null

import sys from gensim import models from gensim.models.doc2vec import LabeledSentence import pickle def corpus_to_sentences(corpus): sentences = [] for idx, (name, doc) in enumerate(corpus.items()): sys.stdout.write('\r前処理中 {}/{}'.format(idx, len(corpus))) sentence = LabeledSentence(words=doc...

28.576923

104

0.722746

102

743

5.166667

0.578431

0.085389

0.064516

0.087287

0

0.029734

0.139973

743

26

105

28.576923

0.794992

0

0.051075

0

1

0.052632

false

0

0.210526

0

0.315789

0.052632

0

null

0

null

0

1

0

81a0eab42248c18facd3ce51c6e6f97ebfbcd166

6,206

py

Python

lxman/registry.py

stuxcrystal/lxman

ea0b44a8b9424b3489e393591f5384a986f583a3

[ "MIT" ]

1

2017-12-04T18:48:21.000Z

lxman/registry.py

stuxcrystal/lxman

ea0b44a8b9424b3489e393591f5384a986f583a3

[ "MIT" ]

null

lxman/registry.py

stuxcrystal/lxman

ea0b44a8b9424b3489e393591f5384a986f583a3

[ "MIT" ]

null

# -*- encoding: utf-8 -*- from collections import UserDict from itertools import count import shutil import winreg import uuid PATH = "Software\\Microsoft\\Windows\\CurrentVersion\\Lxss" KEY = winreg.HKEY_CURRENT_USER class RegistryDescriptor(object): def __init__(self, name): self.name ...

30.875622

108

0.563165

660

6,206

5.112121

0.233333

0.026675

0.040308

0.013337

0.141375

0.077653

0.063426

0.043865

0

0.006486

0.329198

6,206

200

109

31.03

0.803988

0.003706

0

0.205128

0

0.00641

0.088781

0.019228

0

1

0.173077

false

0

0.032051

0.038462

0.455128

0

null

0

null

0

1

0

81a34a9a29a2bcf516df9f355478686bebdaa96b

25,235

py

Python

virtual/lib/python3.6/site-packages/debian/changelog.py

marknesh/pitches

0a480d9bc2beafaefa0121393b1502cc05edab89

[ "MIT" ]

null

virtual/lib/python3.6/site-packages/debian/changelog.py

marknesh/pitches

0a480d9bc2beafaefa0121393b1502cc05edab89

[ "MIT" ]

10

2020-03-08T21:13:29.000Z

2021-04-08T19:41:14.000Z

flask/lib/python3.6/site-packages/debian/changelog.py

JOFLIX/grapevines

34576e01184570d79cc140b42ffb71d322132da6

[ "MIT", "Unlicense" ]

null

# changelog.py -- Python module for Debian changelogs # Copyright (C) 2006-7 James Westby <jw+debian@jameswestby.net> # Copyright (C) 2008 Canonical Ltd. # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Fo...

39.553292

80

0.559263

2,978

25,235

4.555406

0.151444

0.024326

0.017249

0.014448

0.308197

0.253354

0.216423

0.176544

0.133938

0.127009

0

0.007522

0.3362

25,235

637

81

39.615385

0.80234

0.148048

0

0.303797

0

0.010549

0.087014

0.021918

0

0.00157

0.00211

1

0.084388

false

0

0.018987

0.027426

0.204641

0

null

0

null

0

1

0

81a49f3c33e13f260a839b1cda7b2ffc5e26f768

5,089

py

Python

miss_islington/util.py

webknjaz/miss-islington

51c38793b9ff95ecf4a3e98755a291120e7240cc

[ "Apache-2.0" ]

null

miss_islington/util.py

webknjaz/miss-islington

51c38793b9ff95ecf4a3e98755a291120e7240cc

[ "Apache-2.0" ]

1

2021-02-27T14:15:59.000Z

miss_islington/util.py

webknjaz/miss-islington

51c38793b9ff95ecf4a3e98755a291120e7240cc

[ "Apache-2.0" ]

null

import requests import os import subprocess import gidgethub from gidgethub import sansio AUTOMERGE_LABEL = ":robot: automerge" def comment_on_pr(issue_number, message): """ Leave a comment on a PR/Issue """ request_headers = sansio.create_headers( "miss-islington", oauth_token=os.getenv("...

29.760234

86

0.660051

684

5,089

4.74269

0.283626

0.029593

0.018496

0.027127

0.313194

0.270654

0.258323

0.210851

0

0.008099

0.22362

5,089

170

87

29.935294

0.81144

0.121635

0

0.33913

0

0.008696

0.202276

0.058987

0

1

0.069565

false

0

0.043478

0

0.26087

0.052174

0

null

0

null

0

1

0

81a67c33ee26043b2ddf70e19e7da7c69207a707

5,492

py

Python

dexp/processing/utils/scatter_gather_i2i.py

haesleinhuepf/dexp

2ea84f3db323724588fac565fae56f0d522bc5ca

[ "BSD-3-Clause" ]

16

2021-04-21T14:09:19.000Z

2022-03-22T02:30:59.000Z

dexp/processing/utils/scatter_gather_i2i.py

haesleinhuepf/dexp

2ea84f3db323724588fac565fae56f0d522bc5ca

[ "BSD-3-Clause" ]

28

2021-04-15T17:43:08.000Z

2022-03-29T16:08:35.000Z

dexp/processing/utils/scatter_gather_i2i.py

haesleinhuepf/dexp

2ea84f3db323724588fac565fae56f0d522bc5ca

[ "BSD-3-Clause" ]

3

2022-02-08T17:41:30.000Z

2022-03-18T15:32:27.000Z

from typing import Callable, Optional, Sequence, Tuple, Union import numpy from dexp.processing.utils.nd_slice import nd_split_slices, remove_margin_slice from dexp.processing.utils.normalise import Normalise from dexp.utils import xpArray from dexp.utils.backends import Backend def scatter_gather_i2i( function...

35.205128

110

0.667334

723

5,492

4.912863

0.255878

0.051239

0.040541

0.024775

0.194538

0.177365

0.13232

0.113739

0.091779

0

0.001937

0.247997

5,492

155

111

35.432258

0.858111

0.437728

0

0.191176

0

1

0.029412

false

0

0.088235

0

0.132353

0

null

0

null

0

1

0

81a8ec6fd77ecb2b6c41666fc9f2b8378760daa6

3,759

py

Python

setup.py

wrmsr/omnibus

3c4ef5eb17b0fff8593fa6a2284337bf193c18d3

[ "BSD-3-Clause" ]

2

2020-06-17T19:54:09.000Z

2020-06-18T20:10:26.000Z

setup.py

wrmsr/omnibus

3c4ef5eb17b0fff8593fa6a2284337bf193c18d3

[ "BSD-3-Clause" ]

null

setup.py

wrmsr/omnibus

3c4ef5eb17b0fff8593fa6a2284337bf193c18d3

[ "BSD-3-Clause" ]

null

import fnmatch import glob import os import sys import setuptools.command.build_ext APPLE = sys.platform == 'darwin' BASE_DIR = os.path.dirname(__file__) ABOUT = {} def _read_about(): with open(os.path.join(BASE_DIR, 'omnibus', '__about__.py'), 'rb') as f: src = f.read() if sys.version_info[0...

24.096154

93

0.536313

370

3,759

5.181081

0.375676

0.018779

0.052165

0.045383

0.156495

0.065728

0

0.010081

0.313913

3,759

155

94

24.251613

0.73323

0.003724

0

0.12069

0

0.192359

0.012557

0

1

0.017241

false

0.008621

0.077586

0.008621

0.103448

0

null

0

null

0

1

0

81ad78394864e547b6c74d97fef7b7beb9ca5228

1,793

py

Python

recipe_parser/recipes/thehappyfoodie.py

tyler-a-cox/recipe-parsing

fa883f66a39063cf72912527628b082cda455e76

[ "MIT" ]

null

recipe_parser/recipes/thehappyfoodie.py

tyler-a-cox/recipe-parsing

fa883f66a39063cf72912527628b082cda455e76

[ "MIT" ]

null

recipe_parser/recipes/thehappyfoodie.py

tyler-a-cox/recipe-parsing

fa883f66a39063cf72912527628b082cda455e76

[ "MIT" ]

null

from ._schema import DefaultSchema from ._utils import get_minutes, get_yields, normalize_string class TheHappyFoodie(DefaultSchema): @classmethod def host(cls): return "thehappyfoodie.co.uk" def title(self): return self.soup.find("h1", {"class": "main-title"}).get_text() def total_t...

28.919355

88

0.516453

166

1,793

5.307229

0.313253

0.099886

0.095346

0.085131

0.286039

0.170261

0.136209

0

0.000865

0.355271

1,793

61

89

29.393443

0.761246

0

0.156863

0

0.165644

0.081986

0

1

0.117647

false

0

0.039216

0.078431

0.294118

0

null

0

null

0

1

0

81ae2fd5d9a2f3d3be912f6bccda2599695dd505

2,866

py

Python

Scopuli/WEB/DebugToolbar/Toolbar.py

MaxOnNet/scopuli-core-web

66a2c31b36d7fc05be36ba5d5b141644459b4aba

[ "Apache-2.0" ]

null

Scopuli/WEB/DebugToolbar/Toolbar.py

MaxOnNet/scopuli-core-web

66a2c31b36d7fc05be36ba5d5b141644459b4aba

[ "Apache-2.0" ]

null

Scopuli/WEB/DebugToolbar/Toolbar.py

MaxOnNet/scopuli-core-web

66a2c31b36d7fc05be36ba5d5b141644459b4aba

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # # Copyright [2017] Tatarnikov Viktor [viktor@tatarnikov.org] # # 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/licen...

29.854167

97

0.63887

354

2,866

5

0.415254

0.056497

0.020339

0.018079

0.045198

0

0.004294

0.268667

2,866

95

98

30.168421

0.840172

0.239707

0

0.148148

0

0.065919

0.012155

0

1

0.111111

false

0.037037

0.185185

0

0.388889

0

null

0

null

0

1

0

81ae89733812f04310f2f41f0ec35c6af756fb98

8,372

py

Python

CalculateLods.py

makeling/AGSSmartVectorTileTools

009d925f883729f98c0d0744e1d466062dc260e6

[ "Apache-2.0" ]

3

2019-02-19T06:14:03.000Z

2020-01-06T07:57:12.000Z

CalculateLods.py

makeling/AGSSmartVectorTileTools

009d925f883729f98c0d0744e1d466062dc260e6

[ "Apache-2.0" ]

null

CalculateLods.py

makeling/AGSSmartVectorTileTools

009d925f883729f98c0d0744e1d466062dc260e6

[ "Apache-2.0" ]

2

2019-03-25T09:43:30.000Z

2019-11-28T03:52:56.000Z

# -*- coding: utf-8 -*- # !/usr/bin/python __author__ = 'ma_keling' # Version : 1.0.0 # Start Time : 2018-11-29 # Update Time : # Change Log : ## 1. ## 2. ## 3. import time import arcpy import math def express_arcpy_error(): severity = arcpy.GetMaxSeverity() if severity =...

36.086207

121

0.568562

930

8,372

4.977419

0.205376

0.07129

0.032404

0.348239

0.289911

0.267876

0.244329

0.226183

0

0.023936

0.326326

8,372

231

122

36.242424

0.796809

0.136885

0

0.403727

0

0.097224

0

1

0.068323

false

0

0.018634

0

0.15528

0.043478

0

null

0

null

0

1

0

81aef189550b2b54e321b9991b292a9ac7b3bfcb

5,133

py

Python

cardano-node-tests/cardano_node_tests/tests/test_configuration.py

MitchellTesla/Cardano-SCK

f394506eb0875622093805c009951f6905261778

[ "Apache-2.0" ]

6

2021-08-30T00:49:12.000Z

2022-01-27T07:07:53.000Z

cardano-node-tests/cardano_node_tests/tests/test_configuration.py

c-spider/Cardano-SCK

1accb0426289489e371eb67422ccb19ffaab5f3c

[ "Apache-2.0" ]

17

2021-08-31T23:27:44.000Z

2022-03-25T20:35:16.000Z

cardano-node-tests/cardano_node_tests/tests/test_configuration.py

c-spider/Cardano-SCK

1accb0426289489e371eb67422ccb19ffaab5f3c

[ "Apache-2.0" ]

3

2021-05-20T08:26:00.000Z

2022-03-27T22:31:36.000Z

"""Tests for node configuration.""" import json import logging import time from pathlib import Path import allure import pytest from _pytest.tmpdir import TempdirFactory from cardano_clusterlib import clusterlib from cardano_node_tests.utils import cluster_management from cardano_node_tests.utils import cluster_nodes...

33.116129

100

0.728034

676

5,133

5.235207

0.238166

0.040407

0.023736

0.022605

0.593953

0.543091

0.434021

0.412546

0.380899

0

0.010745

0.184103

5,133

154

101

33.331169

0.834288

0.12254

0

0.372549

0

0.062135

0.031404

0

0.058824

1

0.088235

false

0

0.117647

0.019608

0.284314

0

null

0

null

0

1

0

81b112f3d2024fef2d743717dabaf4db53727b51

661

py

Python

tests/functional_tests/test_camera.py

accessai/access-face-vision

04469ebc03ac9644a44bbdb90951f1821dca0f6d

[ "Apache-2.0" ]

3

2019-07-19T17:59:19.000Z

2019-07-21T16:07:43.000Z

tests/functional_tests/test_camera.py

accessai/access-face-vision

04469ebc03ac9644a44bbdb90951f1821dca0f6d

[ "Apache-2.0" ]

9

2019-07-19T17:38:11.000Z

2022-03-11T23:53:13.000Z

tests/functional_tests/test_camera.py

accessai/access-face-vision

04469ebc03ac9644a44bbdb90951f1821dca0f6d

[ "Apache-2.0" ]

1

2019-07-21T16:07:54.000Z

from multiprocessing import Queue, Value from time import sleep from access_face_vision.source.camera import Camera from access_face_vision.utils import create_parser from access_face_vision import access_logger LOG_LEVEL = 'debug' logger, log_que, que_listener = access_logger.set_main_process_logger(LOG_LEVEL) def...

26.44

90

0.754917

94

661

4.957447

0.43617

0.064378

0.090129

0.128755

0

0.005338

0.149773

661

24

91

27.541667

0.823843

0

0.083207

0

1

0.055556

false

0

0.277778

0

0.333333

0

null

0

null

0

1

0

81b36615a4cceca74102543564ca1a7f49b62e92

2,880

py

Python

src/triage/component/results_schema/alembic/versions/5dd2ba8222b1_add_run_type.py

josephbajor/triage_NN

cbaee6e5a06e597c91fec372717d89a2b5f34fa5

[ "MIT" ]

160

2017-06-13T09:59:59.000Z

2022-03-21T22:00:35.000Z

src/triage/component/results_schema/alembic/versions/5dd2ba8222b1_add_run_type.py

josephbajor/triage_NN

cbaee6e5a06e597c91fec372717d89a2b5f34fa5

[ "MIT" ]

803

2016-10-21T19:44:02.000Z

2022-03-29T00:02:33.000Z

src/triage/component/results_schema/alembic/versions/5dd2ba8222b1_add_run_type.py

josephbajor/triage_NN

cbaee6e5a06e597c91fec372717d89a2b5f34fa5

[ "MIT" ]

59

2017-01-31T22:10:22.000Z

2022-03-19T12:35:03.000Z

"""add run_type Revision ID: 5dd2ba8222b1 Revises: 079a74c15e8b Create Date: 2021-07-22 23:53:04.043651 """ from alembic import op import sqlalchemy as sa from sqlalchemy.dialects import postgresql # revision identifiers, used by Alembic. revision = '5dd2ba8222b1' down_revision = '079a74c15e8b' branch_labels = None ...

48.813559

209

0.755556

371

2,880

5.552561

0.229111

0.142718

0.145631

0.128155

0.414563

0.291748

0.18932

0.107767

0.04466

0

0.019585

0.113542

2,880

58

210

49.655172

0.787309

0.048958

0

0.443956

0.124176

0

1

0.051282

false

0

0.076923

0

0.128205

0

null

0

null

0

1

0

81b65c798718e0eb1c455ac640017cba04a70ce8

19,426

py

Python

txdav/common/datastore/upgrade/test/test_migrate.py

backwardn/ccs-calendarserver

13c706b985fb728b9aab42dc0fef85aae21921c3

[ "Apache-2.0" ]

462

2016-08-14T17:43:24.000Z

2022-03-17T07:38:16.000Z

txdav/common/datastore/upgrade/test/test_migrate.py

backwardn/ccs-calendarserver

13c706b985fb728b9aab42dc0fef85aae21921c3

[ "Apache-2.0" ]

72

2016-09-01T23:19:35.000Z

2020-02-05T02:09:26.000Z

txdav/common/datastore/upgrade/test/test_migrate.py

backwardn/ccs-calendarserver

13c706b985fb728b9aab42dc0fef85aae21921c3

[ "Apache-2.0" ]

171

2016-08-16T03:50:30.000Z

2022-03-26T11:49:55.000Z

## # Copyright (c) 2010-2017 Apple Inc. 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 l...

37.357692

130

0.653197

1,871

19,426

6.741315

0.269909

0.011417

0.018552

0.017204

0.302941

0.24673

0.22231

0.187664

0.173393

0

0.011184

0.249717

19,426

519

131

37.429672

0.854202

0.171935

0

0.244776

0

0.090856

0.020714

0

0.001927

0.077612

1

0.056716

false

0

0.068657

0

0.164179

0

null

0

null

0

1

0

81b7304301ce82e40f227f18f20c21206d2e4a7b

5,745

py

Python

imagernn/generic_batch_generator.py

OnlyBelter/learn_neuralTalk

53c78962960e142bbd149eb92405029b795845ed

[ "MIT" ]

7

2019-03-18T10:19:11.000Z

2021-11-10T02:10:55.000Z

imagernn/generic_batch_generator.py

AllenMas/learn_neuralTalk

53c78962960e142bbd149eb92405029b795845ed

[ "MIT" ]

null

imagernn/generic_batch_generator.py

AllenMas/learn_neuralTalk

53c78962960e142bbd149eb92405029b795845ed

[ "MIT" ]

8

2017-11-17T08:54:51.000Z

2021-05-29T15:08:34.000Z

import numpy as np import code from imagernn.utils import merge_init_structs, initw, accumNpDicts from imagernn.lstm_generator import LSTMGenerator from imagernn.rnn_generator import RNNGenerator def decodeGenerator(generator): if generator == 'lstm': return LSTMGenerator if generator == 'rnn': return RNNG...

37.064516

131

0.673281

811

5,745

4.659679

0.297164

0.038105

0.03149

0.028579

0.057687

0.046573

0

0.005381

0.223673

5,745

154

132

37.305195

0.841928

0.305657

0

0.23

0

0.099669

0

0.01

1

0.05

false

0

0.05

0

0.17

0

null

0

null

0

1

0

81b75b5619b0c3e8fbf77d44a083c297724d2365

6,110

py

Python

ConfigUpdater.py

godfatherlmh/LoLAnalyzer

0b265b33230316ab1a1459a9767ef7527a4a4f89

[ "MIT" ]

null

ConfigUpdater.py

godfatherlmh/LoLAnalyzer

0b265b33230316ab1a1459a9767ef7527a4a4f89

[ "MIT" ]

null

ConfigUpdater.py

godfatherlmh/LoLAnalyzer

0b265b33230316ab1a1459a9767ef7527a4a4f89

[ "MIT" ]

null

# Update the working patch and champions list from __future__ import print_function import configparser import json import os import urllib.request from datetime import datetime from slugify import slugify from collections import OrderedDict from InterfaceAPI import InterfaceAPI def run(): config = configparser...

54.553571

147

0.592635

744

6,110

4.810484

0.298387

0.010617

0.094999

0.03325

0.200615

0.176586

0.115116

0.081587

0.063146

0

0.006526

0.222586

6,110

111

148

55.045045

0.746947

0.082651

0

0.021053

0.301877

0

1

0.021053

false

0

0.094737

0

0.126316

0

null

0

null

0

1

0

81ba27f4241d7478bbc576ab7545d0bb01038c41

665

py

Python

ex115/biblioteca/interface/__init__.py

Danilo-Xaxa/python_curso_em_video

9a88e5f579dfc844f936b7759d33e4068b091f09

[ "MIT" ]

4

2021-08-29T02:19:55.000Z

2021-08-30T20:21:30.000Z

ex115/biblioteca/interface/__init__.py

Danilo-Xaxa/python_curso_em_video

9a88e5f579dfc844f936b7759d33e4068b091f09

[ "MIT" ]

null

ex115/biblioteca/interface/__init__.py

Danilo-Xaxa/python_curso_em_video

9a88e5f579dfc844f936b7759d33e4068b091f09

[ "MIT" ]

null

def LeiaInt(msg1): pronto = False while True: valor1 = input(msg1) if valor1.isnumeric(): pronto = True else: print('\033[1;31mERRO! FAVOR DIGITAR UM NÚMERO INTEIRO VÁLIDO\033[m') if pronto: break return valor1 def linha(tamanho=42): ...

20.78125

81

0.554887

87

665

4.241379

0.505747

0.04336

0

0.095652

0.308271

665

32

82

20.78125

0.706522

0

0.115385

0

0.038462

0.21021

0

1

0.153846

false

0

0.038462

0.269231

0.230769

0

null

0

null

0

1

0

81bf3cce63eb0d81e1cb3c04efffcbc893d011ef

2,023

py

Python

app/fednlp/data/raw_data_loader/CNN_Dailymail/data_loader.py

ray-ruisun/FedML

24ff30d636bb70f64e94e9ca205375033597d3dd

[ "Apache-2.0" ]

null

app/fednlp/data/raw_data_loader/CNN_Dailymail/data_loader.py

ray-ruisun/FedML

24ff30d636bb70f64e94e9ca205375033597d3dd

[ "Apache-2.0" ]

null

app/fednlp/data/raw_data_loader/CNN_Dailymail/data_loader.py

ray-ruisun/FedML

24ff30d636bb70f64e94e9ca205375033597d3dd

[ "Apache-2.0" ]

null

import os from data.raw_data_loader.base.base_raw_data_loader import Seq2SeqRawDataLoader class RawDataLoader(Seq2SeqRawDataLoader): def __init__(self, data_path): super().__init__(data_path) self.cnn_path = "cnn/stories" self.dailymail_path = "dailymail/stories" def load_data(self)...

36.125

79

0.527435

240

2,023

4.191667

0.2875

0.047714

0.039761

0.029821

0.347913

0.326044

0

0.005542

0.37568

2,023

55

80

36.781818

0.790974

0

0.244898

0

0.032625

0

0.020408

1

0.061224

false

0

0.040816

0

0.142857

0

null

0

null

0

1

0

81c0253c14333698b3786f1e30f1b538f9b67736

1,384

py

Python

core/gf/test.py

zorrock/accelerated-text

942bacf653fc4c901748b06eaba72da4aeaaec9e

[ "Apache-2.0" ]

1

2021-05-05T01:37:51.000Z

core/gf/test.py

zorrock/accelerated-text

942bacf653fc4c901748b06eaba72da4aeaaec9e

[ "Apache-2.0" ]

null

core/gf/test.py

zorrock/accelerated-text

942bacf653fc4c901748b06eaba72da4aeaaec9e

[ "Apache-2.0" ]

null

import pytest import server @pytest.fixture(scope="session") def authorship_grammar(): with open("test_grammars/Authorship.gf", "r") as f: abstract = {"content": f.read()} with open("test_grammars/AuthorshipEng.gf", "r") as f: inst = {"content": f.read(), "key": "Eng"} return serv...

32.186047

77

0.62211

157

1,384

5.382166

0.369427

0.12071

0.028402

0.047337

0.239053

0.066272

0

0.003752

0.229769

1,384

42

78

32.952381

0.788931

0

0.327549

0.041215

0

0.125

1

0.09375

false

0

0.0625

0

0.1875

0.0625

0

null

0

null

0

1

0

81c086bf3828eec5887f2980268193fc09c2dd9d

3,126

py

Python

troposphere/validators/dynamodb.py

compose-x/troposphere

9a94a8fafd8b4da1cd1f4239be0e7aa0681fd8d4

[ "BSD-2-Clause" ]

null

troposphere/validators/dynamodb.py

compose-x/troposphere

9a94a8fafd8b4da1cd1f4239be0e7aa0681fd8d4

[ "BSD-2-Clause" ]

null

troposphere/validators/dynamodb.py

compose-x/troposphere

9a94a8fafd8b4da1cd1f4239be0e7aa0681fd8d4

[ "BSD-2-Clause" ]

null

# Copyright (c) 2012-2022, Mark Peek <mark@peek.org> # All rights reserved. # # See LICENSE file for full license. from .. import AWSHelperFn, If def attribute_type_validator(x): """ Property: AttributeDefinition.AttributeType """ valid_types = ["S", "N", "B"] if x not in valid_types: ra...

29.214953

88

0.619962

357

3,126

5.271709

0.260504

0.047821

0.021254

0.438363

0.408077

0.38576

0.333156

0.299681

0

0.003534

0.275752

3,126

106

89

29.490566

0.827739

0.090531

0

0.378788

0

0.234267

0.063296

0

1

0.121212

false

0

0.015152

0

0.257576

0

null

0

null

0

1

0

81c1bcd0f7ae70104609fcbc8c962b13a08d4c00

1,943

py

Python

modules/week2/utils.py

tobias-z/4-sem-python

35c0a73f0a2085f2dc539c8ec8761c26675aa078

[ "MIT" ]

null

modules/week2/utils.py

tobias-z/4-sem-python

35c0a73f0a2085f2dc539c8ec8761c26675aa078

[ "MIT" ]

null

modules/week2/utils.py

tobias-z/4-sem-python

35c0a73f0a2085f2dc539c8ec8761c26675aa078

[ "MIT" ]

null

from io import TextIOWrapper import os from typing import List OUTPUT = "files/output.csv" FOLDER = "modules/week2/folders" def get_file_names(folderpath, out=OUTPUT): """takes a path to a folder and writes all filenames in the folder to a specified output file""" dir_list = os.listdir(folderpath) with o...

34.696429

100

0.629439

286

1,943

4.129371

0.237762

0.035563

0.030483

0.038103

0.395428

0.360711

0.333616

0.235394

0

0.000706

0.270715

1,943

55

101

35.327273

0.832745

0.211529

0

0.27027

0

0.043161

0.013944

0

1

0.162162

false

0

0.081081

0

0.243243

0.108108

0

null

0

null

0

1

0

81c234494317e86e4d284863eff810f848405889

4,480

py

Python

src/api/providers.py

ismetacar/ertis-auth

64727cc8201d5fcc955485e94262500d63ff4b17

[ "MIT" ]

17

2020-06-17T15:28:59.000Z

2021-09-21T19:18:14.000Z

src/api/providers.py

ismetacar/Ertis-Auth

5521eb8a0b11fca7c5ff2a4ecc6cc0b9af59aa8f

[ "MIT" ]

5

2020-06-17T21:22:56.000Z

2021-05-02T19:10:05.000Z

src/api/providers.py

ismetacar/Ertis-Auth

5521eb8a0b11fca7c5ff2a4ecc6cc0b9af59aa8f

[ "MIT" ]

2

2021-03-02T17:08:07.000Z

2021-04-07T18:11:59.000Z

import json from sanic import response from sanic_openapi import doc from src.plugins.authorization import authorized from src.plugins.validator import validated from src.request_models.providers import Provider from src.request_models.query_model import Query from src.resources.generic import ensure_membership_is_ex...

43.076923

104

0.705134

528

4,480

5.797348

0.168561

0.062725

0.052924

0.045737

0.608951

0.533159

0.500163

0.475335

0.431232

0.386475

0

0.00462

0.178571

4,480

103

105

43.495146

0.827174

0.042857

0

0.189189

0

0.135875

0.064079

0

1

0.013514

false

0

0.148649

0

0.22973

0

null

0

null

0

1

0

81c3777bd3aa3fe5f25a3ee068f24e1720ba3426

3,290

py

Python

ccvpn/views/__init__.py

CCrypto/ccvpn

6bbfd01f41816bea905518f302f4cec474fdd221

[ "MIT" ]

81

2015-03-07T20:26:55.000Z

2016-05-16T10:22:05.000Z

ccvpn/views/__init__.py

CCrypto/ccvpn2

6bbfd01f41816bea905518f302f4cec474fdd221

[ "MIT" ]

1

2017-09-21T15:56:31.000Z

2017-11-30T15:10:56.000Z

ccvpn/views/__init__.py

CCrypto/ccvpn

6bbfd01f41816bea905518f302f4cec474fdd221

[ "MIT" ]

20

2015-03-07T22:36:46.000Z

2016-04-23T22:47:12.000Z

import codecs import markdown import os import logging from pyramid.view import view_config from pyramid.httpexceptions import HTTPOk, HTTPNotFound from sqlalchemy import func from mako.lookup import TemplateLookup import mako.exceptions logger = logging.getLogger(__name__) from ccvpn.models import DBSession, User, Ic...

33.571429

87

0.619149

398

3,290

4.982412

0.394472

0.030257

0.038326

0.054463

0

0.006073

0.24924

3,290

97

88

33.917526

0.796761

0.001216

0

0.05

0

0.088029

0.00792

0

1

0.075

false

0

0.1375

0.0125

0.2875

0

null

0

null

0

1

0

81c43cdcda51abd9a7c25faabe42afd1a69a3e45

3,142

py

Python

rx/subjects/subject.py

MichaelSchneeberger/RxPY

994f974d37783f63c5d9e018a316fa9b06ba9337

[ "ECL-2.0", "Apache-2.0" ]

null

rx/subjects/subject.py

MichaelSchneeberger/RxPY

994f974d37783f63c5d9e018a316fa9b06ba9337

[ "ECL-2.0", "Apache-2.0" ]

null

rx/subjects/subject.py

MichaelSchneeberger/RxPY

994f974d37783f63c5d9e018a316fa9b06ba9337

[ "ECL-2.0", "Apache-2.0" ]

null

import threading from typing import Any, List, Optional from rx.disposable import Disposable from rx.core.typing import Observer, Scheduler from rx.core import Observable, typing from rx.internal import DisposedException from .anonymoussubject import AnonymousSubject from .innersubscription import InnerSubscription ...

28.825688

100

0.590707

331

3,142

5.507553

0.232628

0.032913

0.049918

0.043884

0.296764

0.278113

0.233132

0.161273

0

0.332272

3,142

108

101

29.092593

0.868923

0.15627

0

0.434783

0

1

0.115942

false

0

0.115942

0.014493

0.304348

0

null

0

null

0

1

0

81c467ca6111d33d242e6a5ccd32ee27968ad970

931

py

Python

scripts/uda.py

nng555/fairseq

c9730a125825a85f33042e1b9fd1959b8ca829e5

[ "MIT" ]

2

2020-10-05T08:52:01.000Z

2021-03-03T15:26:35.000Z

scripts/uda.py

nng555/fairseq

c9730a125825a85f33042e1b9fd1959b8ca829e5

[ "MIT" ]

null

scripts/uda.py

nng555/fairseq

c9730a125825a85f33042e1b9fd1959b8ca829e5

[ "MIT" ]

null

import os import hydra import subprocess import logging from omegaconf import DictConfig from hydra import slurm_utils log = logging.getLogger(__name__) @hydra.main(config_path='/h/nng/conf/robust/config.yaml', strict=False) def launch(cfg: DictConfig): os.environ['NCCL_DEBUG'] = 'INFO' if cfg.data.task in [...

29.09375

110

0.684211

137

931

4.481752

0.510949

0.068404

0.071661

0.042345

0

0.003851

0.163265

931

31

111

30.032258

0.784339

0

0.184748

0.095596

0

1

0.041667

false

0

0.25

0

0.291667

0

null

0

null

0

1

0

81c5bce0c4d9254a207a213c3a227fa2fcf0908d

2,062

py

Python

06_Business/application_iris/app.py

MaryMP11/The_Bridge_School_DataScience_PT

8b4a24d0b79608061a470e806de542dbbcccf75d

[ "Apache-2.0" ]

null

06_Business/application_iris/app.py

MaryMP11/The_Bridge_School_DataScience_PT

8b4a24d0b79608061a470e806de542dbbcccf75d

[ "Apache-2.0" ]

null

06_Business/application_iris/app.py

MaryMP11/The_Bridge_School_DataScience_PT

8b4a24d0b79608061a470e806de542dbbcccf75d

[ "Apache-2.0" ]

null

from flask import Flask, request, jsonify, session, url_for, redirect, render_template import joblib from flower_form import FlowerForm classifier_loaded = joblib.load("application_iris/saved_models/knn_iris_dataset.pkl") encoder_loaded = joblib.load("application_iris/saved_models/iris_label_encoder.pkl") # predict...

32.21875

112

0.734724

232

2,062

6.297414

0.353448

0.034223

0.043806

0.035592

0.123203

0.097194

0

0.007361

0.14355

2,062

64

113

32.21875

0.819932

0.131426

0

0.219293

0.057207

0

1

0.088235

false

0

0.088235

0

0.294118

0

null

0

null

0

1

0

81c63070aaf168ec47a744d51e1a20dd220ae56b

8,522

py

Python

test.py

EdwinChan/python-physical

44383280acddd77b35adf8923b7d8cdb512553a0

[ "MIT" ]

2

2021-07-13T05:58:13.000Z

2021-08-19T04:37:57.000Z

test.py

EdwinChan/python-physical

44383280acddd77b35adf8923b7d8cdb512553a0

[ "MIT" ]

null

test.py

EdwinChan/python-physical

44383280acddd77b35adf8923b7d8cdb512553a0

[ "MIT" ]

null

import math import re import unittest import urllib.error import urllib.request from .core import Quantity from .define import defined_systems si = defined_systems['si'] esu = defined_systems['esu'] emu = defined_systems['emu'] gauss = defined_systems['gauss'] class PhysicalQuantitiesTest(unittest.TestCase): def a...

40.198113

74

0.602558

1,252

8,522

4.020767

0.163738

0.023838

0.054629

0.105085

0.516091

0.457688

0.418752

0.356774

0.335717

0.328963

0

0.04808

0.211687

8,522

211

75

40.388626

0.70125

0.00974

0

0.165775

0

0.132322

0.00498

0

0.304813

1

0.080214

false

0.005348

0.042781

0.010695

0.139037

0

null

0

null

0

1

0

81c77ad5e87d4cea69ce9a40ad25f9768714ae45

3,828

py

Python

test/test_cirrus_ngs/test_cfnCluster/test_ConnectionManager.py

ucsd-ccbb/cirrus-ngs

8f51450b3d971b03d4fd08a1aab11d5a076aa23e

[ "MIT" ]

8

2017-01-20T00:00:45.000Z

2022-02-11T00:20:45.000Z

test/test_cirrus_ngs/test_cfnCluster/test_ConnectionManager.py

miko-798/cirrus-ngs

2c005f0fe29e298652ed2164e08ada75e908229b

[ "MIT" ]

3

2018-03-23T19:09:06.000Z

2018-03-26T19:49:55.000Z

test/test_cirrus_ngs/test_cfnCluster/test_ConnectionManager.py

miko-798/cirrus-ngs

2c005f0fe29e298652ed2164e08ada75e908229b

[ "MIT" ]

2

2018-03-29T06:24:31.000Z

2019-04-01T18:34:53.000Z

import unittest import sys import os sys.path.append(os.getcwd().replace("test", "src")) import cirrus_ngs.cfnCluster.ConnectionManager as ConnectionManager import paramiko import tempfile import re ##THIS TEST WILL NOT WORK## class test_ConnectionManager(unittest.TestCase): def test_paramiko(self): key_f...

35.775701

117

0.637931

448

3,828

5.287946

0.357143

0.035458

0.050654

0.064162

0.360068

0.238497

0.132968

0.120726

0.081891

0

0.004454

0.237461

3,828

106

118

36.113208

0.807126

0.198537

0

0.262295

0

0.0614

0

0.163934

1

0.065574

false

0

0.114754

0

0.196721

0

null

0

null

0

1

0

81c7caa0739efb8823c259206d2c89fc45540cae

3,166

py

Python

src/backend/opus/opusctl/cmds/process.py

DTG-FRESCO/opus

8975e154524802efead82794ab2f70d4a1611000

[ "Apache-2.0" ]

null

src/backend/opus/opusctl/cmds/process.py

DTG-FRESCO/opus

8975e154524802efead82794ab2f70d4a1611000

[ "Apache-2.0" ]

null

src/backend/opus/opusctl/cmds/process.py

DTG-FRESCO/opus

8975e154524802efead82794ab2f70d4a1611000

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- ''' Commands for launching processes with or without OPUS interposition. ''' from __future__ import absolute_import, division, print_function import argparse import os import psutil from .. import config, server_start, utils def get_current_shell(): ppid = os.getppid() parent = psuti...

31.979798

82

0.609602

387

3,166

4.767442

0.30491

0.068293

0.063415

0.039024

0.354472

0.323035

0.298103

0.268835

0.227642

0

0.007306

0.265003

3,166

98

83

32.306122

0.785561

0.036008

0

0.302632

0

0.213675

0.007232

0

1

0.065789

false

0.026316

0.065789

0

0.157895

0.039474

0

null

0

null

0

1

0

81c8df8164adec85e55f94629c0090d4dd609286

1,718

py

Python

tests/unit/l2_infrastructure/test_app_collection_config_parser.py

ansible-self-service/ansible-self-service

80840f02b68c6ba5fe6c55ab9a317b310c185b4d

[ "MIT" ]

null

tests/unit/l2_infrastructure/test_app_collection_config_parser.py

ansible-self-service/ansible-self-service

80840f02b68c6ba5fe6c55ab9a317b310c185b4d

[ "MIT" ]

null

tests/unit/l2_infrastructure/test_app_collection_config_parser.py

ansible-self-service/ansible-self-service

80840f02b68c6ba5fe6c55ab9a317b310c185b4d

[ "MIT" ]

null

import pytest from ansible_self_service.l2_infrastructure.app_collection_config_parser import AppCollectionConfigValidationException, \ YamlAppCollectionConfigParser from ansible_self_service.l4_core.models import AppCategory, App VALID_CATEGORY_NAME = 'Misc' VALID_ITEM_NAME = 'Cowsay' VALID_ITEM_DESCRIPTION = 'L...

33.038462

121

0.760186

203

1,718

6.123153

0.463054

0.043443

0.068383

0.035398

0.379726

0.297667

0.238134

0.183427

0.096541

0

0.003434

0.152503

1,718

51

122

33.686275

0.850275

0

0.139535

0

0.046512

0.369034

0.052969

0

0.046512

1

0.046512

false

0.023256

0.069767

0

0.116279

0

null

0

null

0

1

0

81cb6312561698f081c8ea3ba400b666e569a740

740

py

Python

ethereumetl/mappers/event_mapper.py

thanhnv2303/ethereum-etl

94381feadf1f1602a95db44aea5e944559628271

[ "MIT" ]

null

ethereumetl/mappers/event_mapper.py

thanhnv2303/ethereum-etl

94381feadf1f1602a95db44aea5e944559628271

[ "MIT" ]

null

ethereumetl/mappers/event_mapper.py

thanhnv2303/ethereum-etl

94381feadf1f1602a95db44aea5e944559628271

[ "MIT" ]

null

from config.constant import ExportItemConstant, ExportItemTypeConstant, EventConstant, TransactionConstant from ethereumetl.service.eth_event_service import EthEvent class EthEventMapper(object): def eth_event_to_dict(self, eth_event: EthEvent): d1 = { ExportItemConstant.type: ExportItemTypeCo...

43.529412

106

0.731081

75

740

6.92

0.44

0.138728

0

0.006768

0.201351

740

16

107

46.25

0.871404

0

1

0.071429

false

0

0.142857

0

0.357143

0

null

0

null

0

1

0

81cc09d97179b0455468e2dd08a57556c6ae600f

5,934

py

Python

openerp/addons/crm_partner_assign/wizard/crm_forward_to_partner.py

ntiufalara/openerp7

903800da0644ec0dd9c1dcd34205541f84d45fe4

[ "MIT" ]

3

2016-01-29T14:39:49.000Z

2018-12-29T22:42:00.000Z

openerp/addons/crm_partner_assign/wizard/crm_forward_to_partner.py

ntiufalara/openerp7

903800da0644ec0dd9c1dcd34205541f84d45fe4

[ "MIT" ]

2

2016-03-23T14:29:41.000Z

2017-02-20T17:11:30.000Z

openerp/addons/crm_partner_assign/wizard/crm_forward_to_partner.py

ntiufalara/openerp7

903800da0644ec0dd9c1dcd34205541f84d45fe4

[ "MIT" ]

null

# -*- coding: utf-8 -*- ############################################################################## # # OpenERP, Open Source Management Solution # Copyright (C) 2004-2010 Tiny SPRL (<http://tiny.be>). All Rights Reserved # $Id$ # # This program is free software: you can redistribute it and/or modify # ...

47.472

195

0.635322

757

5,934

4.792602

0.290621

0.027563

0.028666

0.044101

0.199008

0.120452

0.077729

0.050165

0

0.003898

0.221773

5,934

124

196

47.854839

0.781724

0.22666

0

0.16

0

0.206181

0.059963

0

1

0.08

false

0

0.026667

0

0.28

0

null

0

null

0

1

0

81cd30e6f9de401088d486d770c3328acf7f5008

5,033

py

Python

losses.py

DensenDavis/yolov5_tf2

5b2f38e3f0391e5beee1551a386e9b81512db179

[ "Unlicense" ]

null

losses.py

DensenDavis/yolov5_tf2

5b2f38e3f0391e5beee1551a386e9b81512db179

[ "Unlicense" ]

null

losses.py

DensenDavis/yolov5_tf2

5b2f38e3f0391e5beee1551a386e9b81512db179

[ "Unlicense" ]

null

import tensorflow as tf from tensorflow.keras.losses import binary_crossentropy,sparse_categorical_crossentropy from config import Configuration cfg = Configuration() class YOLOLoss(tf.losses.Loss): def __init__(self, anchors): super(YOLOLoss, self).__init__(reduction="none", name="YOLOLoss") self....

44.9375

98

0.587522

800

5,033

3.4225

0.17125

0.027757

0.024105

0.011687

0.187728

0.119065

0.086194

0

0.041589

0.254719

5,033

111

99

45.342342

0.68835

0.133121

0

0.026667

0

0.002762

0

1

0.066667

false

0

0.04

0.013333

0.173333

0

null

0

null

0

1

0

81cd44adfb162f86e55541035a3d572728194cd3

2,235

py

Python

test/stress/mmlogic.py

dzlier-gcp/open-match

8db449b307468e20c9835cc22dcca9511c38025a

[ "Apache-2.0" ]

null

test/stress/mmlogic.py

dzlier-gcp/open-match

8db449b307468e20c9835cc22dcca9511c38025a

[ "Apache-2.0" ]

12

2019-08-10T00:37:58.000Z

2019-08-14T22:47:26.000Z

test/stress/mmlogic.py

dzlier-gcp/open-match

8db449b307468e20c9835cc22dcca9511c38025a

[ "Apache-2.0" ]

2

2019-08-10T00:31:54.000Z

2019-08-10T00:33:10.000Z

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

35.47619

181

0.714541

305

2,235

5.147541

0.508197

0.038217

0.016561

0.020382

0.034395

0

0.017505

0.182103

2,235

62

182

36.048387

0.841357

0.380761

0

0.121212

0

0.137399

0.018369

0

1

0.090909

false

0

0.121212

0

0.363636

0

null

0

null

0

1

0

81d18ed12d722ad07b48dba575ac241b64bc31f0

1,691

py

Python

setup.py

extensive-nlp/ttc_nlp

b84892b4f6856baf99d9a5975cdcbf2fe3b19b7a

[ "Apache-2.0" ]

null

setup.py

extensive-nlp/ttc_nlp

b84892b4f6856baf99d9a5975cdcbf2fe3b19b7a

[ "Apache-2.0" ]

null

setup.py

extensive-nlp/ttc_nlp

b84892b4f6856baf99d9a5975cdcbf2fe3b19b7a

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """Setup process.""" from io import open from os import path from setuptools import find_packages, setup with open( path.join(path.abspath(path.dirname(__file__)), "README.md"), encoding="utf-8" ) as f: long_description = f.read() setup( # Basic project inf...

28.661017

82

0.607333

202

1,691

4.99505

0.579208

0.059465

0.099108

0.077304

0

0.04549

0.232998

1,691

58

83

29.155172

0.73246

0.108811

0

0.043478

0

0.434783

0.032107

0

1

0

false

0

0.065217

0

0.065217

0

null

0

null

0

1

0

81d9ca381791e7e9b4231c86815a9f9bf5fa4886

40,400

py

Python

kraken/ketos.py

zjsteyn/kraken

eaa9f4290db5425ddf80d0aebfa3944713558ab5

[ "Apache-2.0" ]

null

kraken/ketos.py

zjsteyn/kraken

eaa9f4290db5425ddf80d0aebfa3944713558ab5

[ "Apache-2.0" ]

null

kraken/ketos.py

zjsteyn/kraken

eaa9f4290db5425ddf80d0aebfa3944713558ab5

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # # Copyright 2015 Benjamin Kiessling # # 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 ...

47.251462

234

0.62146

5,039

40,400

4.89998

0.160151

0.032076

0.028553

0.024057

0.305253

0.227492

0.184399

0.167713

0.142562

0.133692

0

0.008727

0.242698

40,400

854

235

47.306792

0.798235

0.07255

0

0.186589

0

0.010204

0.219463

0.00852

0

1

0.01895

false

0.010204

0.080175

0

0.104956

0.010204

0

null

0

null

0

1

0

81daacebc9755ed9fad67d0bb9146bb8f488fc5d

2,728

py

Python

util/visualize_loss.py

whq-hqw/detr_change

142f75cc5e0b59ca6e07928ddcbed3e461816611

[ "Apache-2.0" ]

2

2020-07-17T15:09:47.000Z

2020-11-20T13:52:48.000Z

util/visualize_loss.py

whq-hqw/detr_change

142f75cc5e0b59ca6e07928ddcbed3e461816611

[ "Apache-2.0" ]

null

util/visualize_loss.py

whq-hqw/detr_change

142f75cc5e0b59ca6e07928ddcbed3e461816611

[ "Apache-2.0" ]

null

from os.path import * import glob import json import numpy as np from util.plot_utils import plot_curves, plot_multi_loss_distribution TMPJPG = expanduser("~/Pictures/") def plot_multi_logs(exp_name, keys, save_name, epoch, addition_len): root_path = expanduser("/raid/dataset/detection/detr_exp") folder_cand...

38.422535

101

0.612903

372

2,728

4.236559

0.311828

0.055838

0.038071

0.050761

0.185279

0.096447

0

0.016667

0.252199

2,728

70

102

38.971429

0.755882

0

0.04918

0

0.113636

0.01173

0

0.016393

1

0.04918

false

0

0.081967

0

0.163934

0.016393

0

null

0

null

0

1

0

81dab8323f10c78c0bf2886a1ab5569f40f742ad

12,616

py

Python

tower_cli/resources/job.py

kedark3/tower-cli

487a1b9a8e96509798fee108e4f7d2c187177771

[ "Apache-2.0" ]

363

2015-01-14T17:48:34.000Z

2022-01-29T06:37:04.000Z

tower_cli/resources/job.py

kedark3/tower-cli

487a1b9a8e96509798fee108e4f7d2c187177771

[ "Apache-2.0" ]

703

2015-01-06T17:17:20.000Z

2020-09-16T15:54:17.000Z

tower_cli/resources/job.py

kedark3/tower-cli

487a1b9a8e96509798fee108e4f7d2c187177771

[ "Apache-2.0" ]

203

2015-01-18T22:38:23.000Z

2022-01-28T19:19:05.000Z

# Copyright 2015, Ansible, Inc. # Luke Sneeringer <lsneeringer@ansible.com> # # 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 requi...

46.212454

112

0.611367

1,608

12,616

4.704602

0.228856

0.03926

0.018903

0.02115

0.221811

0.19696

0.14924

0.12505

0.085922

0.054726

0

0.002701

0.295815

12,616

272

113

46.382353

0.848829

0.323478

0

0.059211

0

0.227736

0.008967

0

1

0.006579

false

0.026316

0.052632

0

0.131579

0.006579

0

null

0

null

0

1

0

81db0f62ce609e284136aef25e5f81fbdf1a0feb

1,643

py

Python

src/backend/expungeservice/models/charge_types/traffic_offense.py

april96415/recordexpungPDX

43ec60ddfb7fe1ec7940b2a38c6e7d7f85286506

[ "MIT" ]

38

2019-05-09T03:13:43.000Z

2022-03-16T22:59:25.000Z

src/backend/expungeservice/models/charge_types/traffic_offense.py

april96415/recordexpungPDX

43ec60ddfb7fe1ec7940b2a38c6e7d7f85286506

[ "MIT" ]

938

2019-05-02T15:13:21.000Z

2022-02-27T20:59:00.000Z

src/backend/expungeservice/models/charge_types/traffic_offense.py

april96415/recordexpungPDX

43ec60ddfb7fe1ec7940b2a38c6e7d7f85286506

[ "MIT" ]

65

2019-05-09T03:28:12.000Z

2022-03-21T00:06:39.000Z

from dataclasses import dataclass from typing import Any from expungeservice.models.charge import ChargeType from expungeservice.models.charge import ChargeUtil from expungeservice.models.expungement_result import TypeEligibility, EligibilityStatus @dataclass(frozen=True) class TrafficOffense(ChargeType): type_n...

45.638889

181

0.677419

186

1,643

5.962366

0.586022

0.050496

0.064923

0.054103

0.064923

0

0.011457

0.256239

1,643

35

182

46.942857

0.896072

0

0.064516

0

0.064516

0.468046

0

1

0.032258

false

0

0.16129

0

0.322581

0

null

0

null

0

1

0

81dc5fd1549c9df6ac26331817777ce1242a46e7

427

py

Python

PythonExercicio/ex081.py

fotavio16/PycharmProjects

f5be49db941de69159ec543e8a6dde61f9f94d86

[ "MIT" ]

null

PythonExercicio/ex081.py

fotavio16/PycharmProjects

f5be49db941de69159ec543e8a6dde61f9f94d86

[ "MIT" ]

null

PythonExercicio/ex081.py

fotavio16/PycharmProjects

f5be49db941de69159ec543e8a6dde61f9f94d86

[ "MIT" ]

null

valores = [] while True: num = int(input('Digite um valor: ')) valores.append(num) cont = str(input('Quer continuar? [S/N] ')).upper() if cont == 'N': break print(f'Você digitou {len(valores)} elememtos.') valores.sort(reverse=True) print(f'Os valores em ordem decrescente são {valores}') if 5 ...

26.6875

55

0.641686

66

427

4.151515

0.621212

0.043796

0.080292

0.087591

0

0.00885

0.206089

427

16

56

26.6875

0.79941

0

0.432243

0

1

0

false

0

0.285714

0

null

0

null

0

1

0

81dc7fd7e49eea8472a8c802075bd5a03af475ce

10,670

py

Python

huobi/client/margin.py

codemonkey89/huobi_Python

92b96679f6e239c785df7c4354a0a94deda2768f

[ "Apache-2.0" ]

1

2021-09-06T00:09:11.000Z

huobi/client/margin.py

codemonkey89/huobi_Python

92b96679f6e239c785df7c4354a0a94deda2768f

[ "Apache-2.0" ]

null

huobi/client/margin.py

codemonkey89/huobi_Python

92b96679f6e239c785df7c4354a0a94deda2768f

[ "Apache-2.0" ]

null

from huobi.utils.input_checker import * class MarginClient(object): def __init__(self, **kwargs): """ Create the request client instance. :param kwargs: The option of request connection. api_key: The public key applied from Huobi. secret_key: The private key appli...

36.541096

116

0.624649

1,124

10,670

5.72331

0.120996

0.032644

0.03482

0.044769

0.571273

0.531478

0.468055

0.420954

0.323799

0.287424

0

0.279944

10,670

292

117

36.541096

0.837303

0.271509

0

0.438849

0

0.074174

0

1

0.107914

false

0

0.107914

0

0.323741

0

null

0

null

0

1

0

81dd1a8439621b09316ab23b0da1c48479109ea1

2,297

py

Python

vine/commit.py

robinson96/GRAPE

f6404ae6ee2933647e515a9480077ab01fb2c430

[ "BSD-3-Clause" ]

4

2017-04-30T17:08:42.000Z

2019-11-15T04:44:09.000Z

vine/commit.py

robinson96/GRAPE

f6404ae6ee2933647e515a9480077ab01fb2c430

[ "BSD-3-Clause" ]

1

2016-02-12T07:51:30.000Z

vine/commit.py

robinson96/GRAPE

f6404ae6ee2933647e515a9480077ab01fb2c430

[ "BSD-3-Clause" ]

null

import os import option import grapeGit as git import grapeConfig import utility class Commit(option.Option): """ Usage: grape-commit [-m <message>] [-a | <filetree>] Options: -m <message> The commit message. -a Commit modified files that have not been staged. Arguments...

33.289855

134

0.573792

248

2,297

5.274194

0.403226

0.045872

0.027523

0.010703

0

0.315629

2,297

68

135

33.779412

0.832061

0.10579

0

0.104167

0

0.020833

0.172962

0

1

0.104167

false

0.020833

0.104167

0.020833

0.3125

0.083333

0

null

0

null

0

1

0

81ddc6f0c5c1c51183abe91817be444c4671d793

2,743

py

Python

allopy/optimize/regret/abstract.py

wangcj05/allopy

0d97127e5132df1449283198143994b45fb11214

[ "MIT" ]

1

2021-04-06T04:33:03.000Z

allopy/optimize/regret/abstract.py

wangcj05/allopy

0d97127e5132df1449283198143994b45fb11214

[ "MIT" ]

null

allopy/optimize/regret/abstract.py

wangcj05/allopy

0d97127e5132df1449283198143994b45fb11214

[ "MIT" ]

null

from abc import ABC from typing import List, Optional, Union import numpy as np from allopy import OptData from allopy.penalty import NoPenalty, Penalty __all__ = ["AbstractObjectiveBuilder", "AbstractConstraintBuilder"] class AbstractObjectiveBuilder(ABC): def __init__(self, data: List[OptData], cvar_data: Li...

40.338235

115

0.682829

366

2,743

4.942623

0.229508

0.066335

0.070757

0.031509

0.36042

0.332781

0.281924

0.225539

0

0.001418

0.228582

2,743

67

116

40.940299

0.853497

0

0.204082

0

0.160044

0.017864

0

0.142857

1

0.102041

false

0

0.102041

0.020408

0.306122

0

null

0

null

0

1

0

81de227f0a3f6458399634f490d77c2bd9c293a6

3,786

py

Python

dataset-processor3.py

Pawel762/class5-homework

8e48dcda1ed91b7a5e28bea6db13b2a82182e074

[ "MIT" ]

null

dataset-processor3.py

Pawel762/class5-homework

8e48dcda1ed91b7a5e28bea6db13b2a82182e074

[ "MIT" ]

null

dataset-processor3.py

Pawel762/class5-homework

8e48dcda1ed91b7a5e28bea6db13b2a82182e074

[ "MIT" ]

null

import os import pandas as pd import matplotlib.pyplot as plt wine_df = pd.read_csv(filepath_or_buffer='~/class5-homework/wine.data', sep=',', header=None) wine_df.columns = ['Class','Alcohol','Malic_Acid','Ash','Alcalinity_of_Ash','Magnesium', 'Total_Phenols','Flavanoid...

29.578125

88

0.744057

605

3,786

4.45124

0.115702

0.072781

0.057185

0.062384

0.53472

0.421834

0.401782

0.272558

0.199035

0

0.01091

0.080032

3,786

127

89

29.811024

0.762274

0.14448

0

0.292135

0

0.43119

0.192917

0

1

0

false

0

0.033708

0

0.033708

0

null

0

null

0

1

0

81e0b2153d543771f9ccb08bc53b840667a38757

7,451

py

Python

ares/attack/bim.py

KuanKuanQAQ/ares

40dbefc18f6438e1812021fe6d6c3195f22ca295

[ "MIT" ]

206

2020-12-31T09:43:11.000Z

2022-03-30T07:02:41.000Z

ares/attack/bim.py

afoolboy/ares

89610d41fdde194e4ad916d29961aaed73383692

[ "MIT" ]

7

2021-01-26T06:45:44.000Z

2022-02-26T05:25:48.000Z

ares/attack/bim.py

afoolboy/ares

89610d41fdde194e4ad916d29961aaed73383692

[ "MIT" ]

61

2020-12-29T14:02:41.000Z

2022-03-26T14:21:10.000Z

import tensorflow as tf import numpy as np from ares.attack.base import BatchAttack from ares.attack.utils import get_xs_ph, get_ys_ph, maybe_to_array, get_unit class BIM(BatchAttack): ''' Basic Iterative Method (BIM). A white-box iterative constraint-based method. Require a differentiable loss function and ...

53.992754

120

0.65414

1,062

7,451

4.379473

0.180791

0.030961

0.023651

0.018061

0.321006

0.223608

0.201032

0.149645

0.133735

0.119114

0

0.002999

0.239163

7,451

137

121

54.386861

0.817428

0.358341

0

0.052632

0

0.013475

0

1

0.052632

false

0

0.052632

0

0.157895

0

null

0

null

0

1

0

81e170cb1bf7f677e6d97334533f66e198b1aa28

3,148

py

Python

parasite/resolver.py

SGevorg/parasite

574b3992abeef03406524a94b6a8a2d662ca13e7

[ "MIT" ]

9

2020-09-21T11:21:01.000Z

2020-12-18T08:21:27.000Z

parasite/resolver.py

bittlingmayer/parasite

daac95eeaa19d5b05c0a3af076e364ca21708ff4

[ "MIT" ]

1

2020-11-21T09:45:45.000Z

parasite/resolver.py

bittlingmayer/parasite

daac95eeaa19d5b05c0a3af076e364ca21708ff4

[ "MIT" ]

4

2020-11-21T09:08:30.000Z

2020-12-05T15:46:56.000Z

import numpy as np from functools import lru_cache from typing import Tuple class DynamicResolver: def __init__(self, matrix: np.ndarray, *, num_src_lines: int = None, num_tgt_lines: int = None, max_k: int = 3, ...

32.453608

80

0.55432

400

3,148

4.055

0.1625

0.098644

0.064118

0.066584

0.217016

0.086313

0.032059

0

0.012079

0.368806

3,148

96

81

32.791667

0.804227

0

0.12

0

1

0.066667

false

0

0.08

0

0.28

0

null

0

null

0

1

0

81e2d167ec9fa89c74b62f2bf234fc1429ff2619

3,864

py

Python

utils/preprocess.py

Deep-MI/3d-neuro-seg

57cc1e16e5ecbef8caf9f6f1e735a0e7339d1152

[ "Apache-2.0" ]

null

utils/preprocess.py

Deep-MI/3d-neuro-seg

57cc1e16e5ecbef8caf9f6f1e735a0e7339d1152

[ "Apache-2.0" ]

null

utils/preprocess.py

Deep-MI/3d-neuro-seg

57cc1e16e5ecbef8caf9f6f1e735a0e7339d1152

[ "Apache-2.0" ]

null

import numpy as np """ Contains preprocessing code for creating additional information based on MRI volumes and true segmentation maps (asegs). Eg. weight masks for median frequency class weighing, edge weighing etc. """ def create_weight_mask(aseg): """ Main function for calculating weight mask of segmentati...

35.777778

120

0.646222

561

3,864

4.327986

0.42246

0.037068

0.009885

0.014415

0.157743

0.11944

0.102142

0

0.101305

0.246377

3,864

107

121

36.11215

0.732486

0.473602

0

0.243243

0

1

0.081081

false

0

0.027027

0

0.189189

0

null

0

null

0

1

0

81e2ef476be7e9c25d158962fb2d60491bb44e8a

4,381

py

Python

test/test_oneview_hypervisor_cluster_profile_facts.py

nabhajit-ray/oneview-ansible

b31af8a696013bac7a1900748a2fa5ba491fe8e2

[ "Apache-2.0" ]

108

2016-06-28T18:14:08.000Z

2022-02-21T09:16:06.000Z

test/test_oneview_hypervisor_cluster_profile_facts.py

HPE-Japan-Presales/oneview-ansible

26eb13354333d862d9e80f07e3fe9bbe2eb59af3

[ "Apache-2.0" ]

248

2016-07-14T12:50:17.000Z

2022-02-06T18:57:16.000Z

test/test_oneview_hypervisor_cluster_profile_facts.py

HPE-Japan-Presales/oneview-ansible

26eb13354333d862d9e80f07e3fe9bbe2eb59af3

[ "Apache-2.0" ]

88

2016-06-29T15:52:44.000Z

2022-03-10T12:34:41.000Z

#!/usr/bin/python # -*- coding: utf-8 -*- ### # Copyright (2016-2020) Hewlett Packard Enterprise Development LP # # 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/licen...

35.048

115

0.71947

521

4,381

5.715931

0.270633

0.090665

0.117529

0.042982

0.496306

0.474144

0.43687

0.349899

0

0.012419

0.191281

4,381

124

116

35.330645

0.828112

0.156357

0

0.220779

0

0.135519

0.046175

0

0.064935

1

0.051948

false

0

0.064935

0

0.12987

0

null

0

null

0

1

0

81e5c39849311e6837ffa50cd43accfe28aa75bf

1,339

py

Python

utils/predictions.py

jaingaurav3/ML_sample

4e53de198f7965fa96f0db44717df27032df4b48

[ "MIT" ]

19

2018-06-08T05:33:47.000Z

2021-04-26T16:19:32.000Z

utils/predictions.py

jaingaurav3/ML_sample

4e53de198f7965fa96f0db44717df27032df4b48

[ "MIT" ]

null

utils/predictions.py

jaingaurav3/ML_sample

4e53de198f7965fa96f0db44717df27032df4b48

[ "MIT" ]

13

2018-09-24T21:52:06.000Z

2021-02-26T10:40:25.000Z

import os import scipy import numpy as np import pandas as pd import torch from torch.autograd import Variable def predict_batch(net, inputs): v = Variable(inputs.cuda(), volatile=True) return net(v).data.cpu().numpy() def get_probabilities(model, loader): model.eval() return np.vstack(predict_batch...

25.264151

70

0.630321

189

1,339

4.42328

0.402116

0.028708

0.035885

0.045455

0

0.017734

0.241972

1,339

53

71

25.264151

0.805911

0

0.01791

0

1

0.146341

false

0

0.146341

0

0.487805

0

null

0

null

0

1

0

81e6447d74e137ba6ed7fb43a3550f34c92da3a7

2,876

py

Python

aict_tools/scripts/plot_regressor_performance.py

LukasBeiske/aict-tools

ccf61c051c58040cf4b676180ae7184021d1b81b

[ "MIT" ]

null

aict_tools/scripts/plot_regressor_performance.py

LukasBeiske/aict-tools

ccf61c051c58040cf4b676180ae7184021d1b81b

[ "MIT" ]

null

aict_tools/scripts/plot_regressor_performance.py

LukasBeiske/aict-tools

ccf61c051c58040cf4b676180ae7184021d1b81b

[ "MIT" ]

null

import click import logging import matplotlib import matplotlib.pyplot as plt import joblib import fact.io from ..configuration import AICTConfig from ..plotting import ( plot_regressor_confusion, plot_bias_resolution, plot_feature_importances, ) if matplotlib.get_backend() == 'pgf': from matplotlib.b...

30.924731

83

0.691586

373

2,876

5.142091

0.289544

0.045881

0.05318

0.039625

0.427529

0.412409

0.376955

0

0.009087

0.196453

2,876

92

84

31.26087

0.820857

0.047288

0

0.291667

0

0.094139

0

1

0.013889

false

0

0.180556

0

0.194444

0

null

0

null

0

1

0

c48ce6625a976f83a24cccf09278351389aa811f

3,991

py

Python

CGAT/Sra.py

861934367/cgat

77fdc2f819320110ed56b5b61968468f73dfc5cb

[ "BSD-2-Clause", "BSD-3-Clause" ]

null

CGAT/Sra.py

861934367/cgat

77fdc2f819320110ed56b5b61968468f73dfc5cb

[ "BSD-2-Clause", "BSD-3-Clause" ]

null

CGAT/Sra.py

861934367/cgat

77fdc2f819320110ed56b5b61968468f73dfc5cb

[ "BSD-2-Clause", "BSD-3-Clause" ]

1

2019-08-04T22:46:38.000Z

########################################################################## # # MRC FGU Computational Genomics Group # # $Id$ # # Copyright (C) 2009 Andreas Heger # # This program is free software; you can redistribute it and/or # modify it under the terms of the GNU General Public License # as published by ...

32.447154

82

0.607367

543

3,991

4.432781

0.388582

0.046531

0.013295

0.023681

0.133361

0.122559

0.068966

0.057333

0.029082

0

0.01648

0.23979

3,991

122

83

32.713115

0.776862

0.574793

0

0.166667

0

0.164927

0

0.027778

1

0.055556

false

0.027778

0.194444

0

0.305556

0

null

0

null

0

1

0