xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

033ac5b42cb933ad3ddd01f9391bd47273e14726

8,611

py

Python

examples/inference/python/test/ls_quant_gpt2.py

hexisyztem/lightseq

25265dabaaee42ee9e7b7ec43c8c04fb90292733

[ "Apache-2.0" ]

106

2019-12-06T09:02:58.000Z

2020-09-09T07:12:21.000Z

examples/inference/python/test/ls_quant_gpt2.py

hexisyztem/lightseq

25265dabaaee42ee9e7b7ec43c8c04fb90292733

[ "Apache-2.0" ]

null

examples/inference/python/test/ls_quant_gpt2.py

hexisyztem/lightseq

25265dabaaee42ee9e7b7ec43c8c04fb90292733

[ "Apache-2.0" ]

15

2019-12-09T05:44:28.000Z

2020-09-04T03:43:56.000Z

import time import torch from torch import nn from transformers import GPT2Tokenizer, GPT2LMHeadModel, GPT2Config import lightseq.inference as lsi from lightseq.training.ops.pytorch.quantization import ( qat_mode, QuantLinear, TensorQuantizer, weight_quant_config, ) from lightseq.training.ops.pytorch.t...

34.170635

152

0.676344

1,118

8,611

4.929338

0.205725

0.052259

0.025404

0.013791

0.405915

0.335329

0.306659

0.259481

0.24569

0

0.007518

0.196725

8,611

251

153

34.306773

0.789215

0.045291

0

0.243655

0

0.130022

0.03214

0

1

0.076142

false

0

0.040609

0

0.15736

0.147208

0

null

0

null

0

1

0

033c4e6e47b886b0874ca7cd97804e2f650bcb80

623

py

Python

algorithms/153. Find Minimum in Rotated Sorted Array.py

vuzway9132/leetcode

e51a9ce7a6bb3e35c0fcb8c8f4f6cd5763708dbf

[ "MIT" ]

1

2020-12-02T13:54:30.000Z

algorithms/153. Find Minimum in Rotated Sorted Array.py

vuzway9132/leetcode

e51a9ce7a6bb3e35c0fcb8c8f4f6cd5763708dbf

[ "MIT" ]

null

algorithms/153. Find Minimum in Rotated Sorted Array.py

vuzway9132/leetcode

e51a9ce7a6bb3e35c0fcb8c8f4f6cd5763708dbf

[ "MIT" ]

null

""" 1. Clarification 2. Possible solutions - Cheat - Binary search II 3. Coding 4. Tests """ # T=O(n), S=O(1) class Solution: def findMin(self, nums: List[int]) -> int: if not nums: return int(-inf) return min(nums) # T=O(lgn), S=O(1) class Solution: def findMin(self, nums: List[int]...

20.766667

46

0.507223

86

623

3.674419

0.44186

0.085443

0.018987

0.050633

0.411392

0

0.024938

0.35634

623

29

47

21.482759

0.763092

0.200642

0

0.4

0

1

0.133333

false

0

0.4

0

null

0

null

0

1

0

033cec1f9ccce81f5733fb9f495e2a48d763be85

1,766

py

Python

Web/gRPC/python_practical_example/quote_service/test_cowsay_client.py

MasuqaT-NET/BlogSamples

b424b51e1c01e65f952099cfd1fa05f9ef405432

[ "MIT" ]

18

2018-01-03T23:07:26.000Z

2021-12-30T11:44:43.000Z

Web/gRPC/python_practical_example/quote_service/test_cowsay_client.py

MasuqaT-NET/BlogSamples

b424b51e1c01e65f952099cfd1fa05f9ef405432

[ "MIT" ]

null

Web/gRPC/python_practical_example/quote_service/test_cowsay_client.py

MasuqaT-NET/BlogSamples

b424b51e1c01e65f952099cfd1fa05f9ef405432

[ "MIT" ]

6

2018-08-09T05:17:13.000Z

2020-05-07T09:45:33.000Z

import time from unittest import TestCase import grpc_testing from grpc import StatusCode from grpc.framework.foundation import logging_pool from cowsay_client import CowsayClient from cowsay_pb2 import DESCRIPTOR as COWSAY_DESCRIPTOR, QuoteRequest, QuoteResponse from cowsay_pb2_grpc import CowsayStub target_service...

36.791667

116

0.725934

215

1,766

5.637209

0.367442

0.039604

0.049505

0.064356

0.216997

0.168317

0.113861

0

0.003427

0.173839

1,766

47

117

37.574468

0.827279

0

0.025481

0

0.090909

1

0.121212

false

0

0.242424

0

0.424242

0

null

0

null

0

1

0

03401c816f8f4430f92c4b87cef1da6e317a54e9

5,140

py

Python

scripts/alpha_diversity_stats.py

dcdanko/MetaSUB_CAP

db5672b0206afb3ffe3204b0577a4a5f84b9bcd4

[ "MIT" ]

20

2017-11-02T13:36:16.000Z

2021-07-23T12:44:28.000Z

scripts/alpha_diversity_stats.py

dcdanko/MetaSUB_CAP

db5672b0206afb3ffe3204b0577a4a5f84b9bcd4

[ "MIT" ]

30

2018-02-22T18:25:02.000Z

2019-11-06T15:03:34.000Z

scripts/alpha_diversity_stats.py

dcdanko/MetaSUB_CAP

db5672b0206afb3ffe3204b0577a4a5f84b9bcd4

[ "MIT" ]

9

2018-04-26T22:12:08.000Z

2020-08-06T01:04:54.000Z

#! /usr/bin/env python3 import sys import math import argparse as ap from json import dumps as jdumps from random import choices class LevelNotFoundException(Exception): pass def checkLevel(taxon, level): if level == 'species': return ('s__' in taxon) and ('t__' not in taxon) elif level == 'gen...

26.091371

78

0.510506

557

5,140

4.642729

0.281867

0.030936

0.024749

0.037123

0.200309

0.153906

0.122196

0.083527

0

0.015834

0.361089

5,140

196

79

26.22449

0.77162

0.013619

0

0.245399

0

0.074191

0

0.01227

1

0.092025

false

0.006135

0.030675

0.006135

0.220859

0

null

0

null

0

1

0

0343d8a19a30189bafdda72fb63bd75d656dfc89

1,061

py

Python

image_collection/migrations/0004_auto_20160113_0458.py

bitmazk/django-image-collection

73b05ff825d74bdab64609b531d5305f9332b702

[ "MIT" ]

null

image_collection/migrations/0004_auto_20160113_0458.py

bitmazk/django-image-collection

73b05ff825d74bdab64609b531d5305f9332b702

[ "MIT" ]

null

image_collection/migrations/0004_auto_20160113_0458.py

bitmazk/django-image-collection

73b05ff825d74bdab64609b531d5305f9332b702

[ "MIT" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations import image_collection.models class Migration(migrations.Migration): dependencies = [ ('image_collection', '0003_auto_20160113_0445'), ] operations = [ migrations.RemoveField( ...

33.15625

193

0.629595

115

1,061

5.617391

0.504348

0.069659

0.088235

0.106811

0.334365

0.108359

0

0.021465

0.253534

1,061

31

194

34.225806

0.794192

0.019793

0

0.4

0

0.08

0.282274

0.022158

0

1

0

false

0

0.12

0

0.24

0

null

0

null

0

1

0

0344447ad9ea2ba9e5f78647ef0e90f1b7786110

7,913

py

Python

hw1/hollygrimm_behavior_cloner.py

andyk/homework

6f31240e7b16bb94992a87fc764839591bd034af

[ "MIT" ]

null

hw1/hollygrimm_behavior_cloner.py

andyk/homework

6f31240e7b16bb94992a87fc764839591bd034af

[ "MIT" ]

null

hw1/hollygrimm_behavior_cloner.py

andyk/homework

6f31240e7b16bb94992a87fc764839591bd034af

[ "MIT" ]

null

# Copying Holly Grimm's solution https://github.com/hollygrimm/cs294-homework/blob/master/hw1/bc.py # Copy and pasting and merging it into a copy of my behavior_cloner.py code. import argparse import pickle import os import sys import tensorflow.compat.v1 as tf import numpy as np from sklearn.model_selection import tr...

41.429319

121

0.647289

1,078

7,913

4.5

0.237477

0.024737

0.022263

0.00907

0.248196

0.189239

0.105958

0.093589

0.06308

0.042053

0

0.01433

0.232782

7,913

190

122

41.647368

0.784714

0.248957

0

0.081712

0

1

0.035088

false

0

0.114035

0

0.184211

0.017544

0

null

0

null

0

1

0

03470a7c37dd728524a1ea76f0cbdccac1e546fa

4,397

py

Python

tree/generate.py

xi-studio/DiscreteNN

85468da14bddfe4cbe2e07071454cdbc52ef915f

[ "MIT" ]

1

2019-08-15T09:43:21.000Z

tree/generate.py

xi-studio/DiscreteNN

85468da14bddfe4cbe2e07071454cdbc52ef915f

[ "MIT" ]

null

tree/generate.py

xi-studio/DiscreteNN

85468da14bddfe4cbe2e07071454cdbc52ef915f

[ "MIT" ]

null

from __future__ import print_function import argparse import torch import torch.utils.data from torch import nn, optim from torch.nn import functional as F from torchvision import datasets, transforms from torchvision.utils import save_image import numpy as np parser = argparse.ArgumentParser(description='VAE MNIST ...

28.185897

83

0.56766

611

4,397

3.9509

0.271686

0.03314

0.035211

0.031069

0.314416

0.299917

0.191384

0.168186

0.052196

0

0.040947

0.289061

4,397

155

84

28.367742

0.731286

0.053218

0

0.091743

0

0.08639

0.006757

0

1

0.100917

false

0

0.082569

0

0.275229

0.009174

0

null

0

null

0

1

0

0347e93cbe7693fc7a1ee576744efea58d5d82da

4,760

py

Python

wepy/io/yahoo.py

Jul13/wepy

3f6acc7ecb4c9bcadf366d7ed1752660838d9dd7

[ "Apache-2.0" ]

null

wepy/io/yahoo.py

Jul13/wepy

3f6acc7ecb4c9bcadf366d7ed1752660838d9dd7

[ "Apache-2.0" ]

null

wepy/io/yahoo.py

Jul13/wepy

3f6acc7ecb4c9bcadf366d7ed1752660838d9dd7

[ "Apache-2.0" ]

null

# Author: Gheorghe Postelnicu from datetime import date import pandas as pd from io import BytesIO from urllib.request import urlopen class Yahoo(object): # Taken from http://www.jarloo.com/yahoo_finance/ yahoo_query_params = { 'ticker': 's', 'average_daily_volume': 'a2', 'dividend_yie...

36.335878

112

0.563655

602

4,760

4.225914

0.302326

0.04717

0.035377

0.033019

0.216195

0.188679

0.154874

0.142689

0.120676

0

0.013674

0.308613

4,760

130

113

36.615385

0.759344

0.157563

0

0.05814

0

0.101762

0

1

0.116279

false

0

0.046512

0.011628

0.302326

0

null

0

null

0

1

0

034a4ded8103d6d6dff5e4e2de1713b5fd8b65e6

1,627

py

Python

physalia/fixtures/models.py

luiscruz/physalia

364951d94e02b60092785db46a8c7a7299ffe2a4

[ "MIT" ]

13

2017-02-14T10:35:43.000Z

2021-12-11T17:33:36.000Z

physalia/fixtures/models.py

luiscruz/physalia

364951d94e02b60092785db46a8c7a7299ffe2a4

[ "MIT" ]

3

2020-02-27T12:07:21.000Z

2021-07-25T12:52:36.000Z

physalia/fixtures/models.py

luiscruz/physalia

364951d94e02b60092785db46a8c7a7299ffe2a4

[ "MIT" ]

3

2019-10-06T14:01:58.000Z

2020-03-13T15:40:30.000Z

"""Fixtures for models module.""" from physalia.models import Measurement import numpy def create_measurement(use_case='login', app_pkg='com.package', duration=2, energy_consumption=30): """Fake data for measurement.""" return Measurement( ...

33.204082

70

0.543331

178

1,627

4.797753

0.376404

0.04918

0.063232

0.037471

0.220141

0.17096

0

0.037791

0.365704

1,627

48

71

33.895833

0.789729

0.149969

0

0.157895

0

0.03321

0

1

0.078947

false

0

0.052632

0

0.210526

0

null

0

null

0

1

0

0354caf01e13d2c8ffb045f382e909588ad189a5

786

py

Python

setup.py

rrosajp/xdcc

e8ffa143cd48745824d077a686bfc0b3f0af6193

[ "MIT" ]

7

2020-06-03T06:24:23.000Z

2022-03-09T13:00:54.000Z

setup.py

thiagotps/xdcc

e8ffa143cd48745824d077a686bfc0b3f0af6193

[ "MIT" ]

3

2020-09-26T12:52:43.000Z

2022-01-22T23:17:19.000Z

setup.py

rrosajp/xdcc

e8ffa143cd48745824d077a686bfc0b3f0af6193

[ "MIT" ]

4

2020-09-26T01:17:00.000Z

2022-02-06T19:22:04.000Z

import setuptools with open("README.md", "r") as fh: long_description = fh.read() setuptools.setup( name="xdcc", version="0.0.3", author="Thiago T. P. Silva", author_email="thiagoteodoro501@gmail.com", description="A simple XDCC downloader written in python3", long_description=long_descrip...

30.230769

66

0.661578

91

786

5.538462

0.714286

0.119048

0.075397

0.119048

0

0.015674

0.188295

786

25

67

31.44

0.774295

0

0.398219

0.062341

0

1

0

false

0

0.043478

0

0.043478

0

null

0

null

0

1

0

035543c446ab93f942c4299a0b653ef67467158d

9,319

py

Python

draw-tsp-path.py

wenderlemes/gcc218_trabalho_pratico

e57aab3c1ebcbe92683052994de646d0f76e8eb8

[ "Apache-2.0", "CC-BY-4.0", "MIT" ]

null

draw-tsp-path.py

wenderlemes/gcc218_trabalho_pratico

e57aab3c1ebcbe92683052994de646d0f76e8eb8

[ "Apache-2.0", "CC-BY-4.0", "MIT" ]

null

draw-tsp-path.py

wenderlemes/gcc218_trabalho_pratico

e57aab3c1ebcbe92683052994de646d0f76e8eb8

[ "Apache-2.0", "CC-BY-4.0", "MIT" ]

null

"""Modified code from https://developers.google.com/optimization/routing/tsp#or-tools """ # Copyright Matthew Mack (c) 2020 under CC-BY 4.0: https://creativecommons.org/licenses/by/4.0/ from __future__ import print_function import math from ortools.constraint_solver import routing_enums_pb2 from ortools.constraint_sol...

36.402344

111

0.65962

1,172

9,319

5.037543

0.234642

0.054539

0.007114

0.011179

0.166328

0.04895

0.026931

0

0.010317

0.240691

9,319

256

112

36.402344

0.824053

0.159352

0

0.027174

0

0.066401

0.007978

0

1

0.076087

false

0

0.048913

0

0.173913

0.081522

0

null

0

null

0

1

0

0357185cdbc8f0ba6e573ad391b048407dabd43e

1,027

py

Python

script/shaderutil.py

xzfn/toy

5d4f6e631c662634a059a4a178174032b01cc81a

[ "MIT" ]

null

script/shaderutil.py

xzfn/toy

5d4f6e631c662634a059a4a178174032b01cc81a

[ "MIT" ]

null

script/shaderutil.py

xzfn/toy

5d4f6e631c662634a059a4a178174032b01cc81a

[ "MIT" ]

null

import os import shadercompiler def spv_folder_to_glsl_folder(spv_folder): return os.path.join(spv_folder, '../../toy/shader') def glsl_from_spv(spv): spv_folder, spv_name = os.path.split(spv) glsl_folder = spv_folder_to_glsl_folder(spv_folder) glsl_name = spv_name[:-4] + '.glsl' glsl = os.path....

31.121212

65

0.666991

136

1,027

4.742647

0.279412

0.083721

0.086822

0.088372

0.093023

0

0.00128

0.239533

1,027

32

66

32.09375

0.824584

0

0.038986

0

1

0.111111

false

0

0.074074

0.037037

0.296296

0.037037

0

null

0

null

0

1

0

035a72cf11a14ddfaed1b39b4cd2c2f14c4da51e

2,046

py

Python

GeneralizeDEMConsole.py

tsamsonov/generalize-dem

4e180944cd3488654240d47464cf8a0b8a7bc640

[ "Python-2.0", "OLDAP-2.7" ]

16

2017-07-10T15:28:41.000Z

2021-12-30T16:25:06.000Z

GeneralizeDEMConsole.py

tsamsonov/Small-Scale-Terrain-Generalization

4e180944cd3488654240d47464cf8a0b8a7bc640

[ "Python-2.0", "OLDAP-2.7" ]

4

2017-07-17T13:35:25.000Z

2019-12-02T20:15:28.000Z

GeneralizeDEMConsole.py

tsamsonov/generalize-dem

4e180944cd3488654240d47464cf8a0b8a7bc640

[ "Python-2.0", "OLDAP-2.7" ]

null

import sys import time import arcpy import traceback import GeneralizeDEM if __name__ == '__main__': # SET PARAMETERS HERE # -------------------------------------------------------------------- demdataset = 'X:/Work/Scripts & Tools/MY/DEMGEN/mistral' marine = 'X:/Work/Scripts & Tools/MY/DEMGEN/DEMGENE...

31.476923

79

0.540078

215

2,046

5

0.516279

0.018605

0.022326

0.031628

0.046512

0

0.030199

0.287879

2,046

64

80

31.96875

0.707618

0.076735

0

0.056604

0

0.212202

0.068435

0

1

0

false

0

0.09434

0

0.09434

0.113208

0

null

0

null

0

1

0

035c76dc73552701e77d5f647636dafc183b09c4

534

py

Python

reports/migrations/0097_auto_20171006_0951.py

CMU-TRP/podd-api

6eb5c4598f848f75d131287163cd9babf2a0a0fc

[ "MIT" ]

3

2020-04-26T06:28:50.000Z

2021-04-05T08:02:26.000Z

reports/migrations/0097_auto_20171006_0951.py

CMU-TRP/podd-api

6eb5c4598f848f75d131287163cd9babf2a0a0fc

[ "MIT" ]

10

2020-06-05T17:36:10.000Z

2022-03-11T23:16:42.000Z

reports/migrations/0097_auto_20171006_0951.py

CMU-TRP/podd-api

6eb5c4598f848f75d131287163cd9babf2a0a0fc

[ "MIT" ]

5

2021-04-08T08:43:49.000Z

2021-11-27T06:36:46.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('reports', '0096_auto_20170920_1521'), ] operations = [ migrations.AlterField( model_name='reporttype', ...

25.428571

130

0.644195

55

534

6.036364

0.818182

0

0.042607

0.252809

534

20

131

26.7

0.789474

0.039326

0

0.225049

0.04501

0

1

0

false

0

0.142857

0

0.357143

0

null

0

null

0

1

0

035ca68338c7107344756496893369eeae016a6c

513

py

Python

server/functions/calcdistance.py

yrpmsg/SCSV15

bbe953d676c082f4a30c4d5e0e0cbfcc624d969c

[ "Apache-2.0" ]

null

server/functions/calcdistance.py

yrpmsg/SCSV15

bbe953d676c082f4a30c4d5e0e0cbfcc624d969c

[ "Apache-2.0" ]

null

server/functions/calcdistance.py

yrpmsg/SCSV15

bbe953d676c082f4a30c4d5e0e0cbfcc624d969c

[ "Apache-2.0" ]

null

from math import radians, cos, sin, asin, sqrt, floor, pow import math lat1 = 11.00461011 lon1 = 76.95691543 lat2 = 11.0070471 lon2 = 76.96110704 lon1 = radians(lon1) lon2 = radians(lon2) lat1 = radians(lat1) lat2 = radians(lat2) # Haversine formula dlon = lon2 - lon1 dlat = lat2 - lat1 a = sin(...

19

63

0.62768

79

513

4.075949

0.531646

0.049689

0

0.182292

0.251462

513

26

64

19.730769

0.65625

0.177388

0

1

0

false

0

0.125

0

0.125

0.0625

0

null

0

null

0

1

0

035cf0e95ad473da5f8cd509f8390672c271dc26

3,106

py

Python

xmppserver/xmpp/mechanisms.py

ovekaaven/django-xmpp-server

aa391173b4cdfc98e2f6de29d24aa4273b3620c3

[ "MIT" ]

null

xmppserver/xmpp/mechanisms.py

ovekaaven/django-xmpp-server

aa391173b4cdfc98e2f6de29d24aa4273b3620c3

[ "MIT" ]

null

xmppserver/xmpp/mechanisms.py

ovekaaven/django-xmpp-server

aa391173b4cdfc98e2f6de29d24aa4273b3620c3

[ "MIT" ]

null

from slixmpp.exceptions import XMPPError from ..conf import settings mechanisms = {} def sasl_mech(): def register(mech): mechanisms[mech.name] = mech return mech return register class Mechanism(object): name = None def __init__(self, auth): self.auth = auth @staticmetho...

26.775862

75

0.603348

345

3,106

5.350725

0.269565

0.043337

0.03792

0.05688

0.303359

0.211268

0.137595

0.097508

0

0.005064

0.300708

3,106

115

76

27.008696

0.844843

0.03123

0

0.388889

0

0.057903

0

0.008696

0

1

0.077778

false

0.044444

0.022222

0.033333

0.355556

0

null

0

null

0

1

0

0362625fd6644541d017afd28f886693da68a5e3

7,625

py

Python

arcade/examples/sprite_rotate_tank.py

DragonMoffon/arcade

98fb1809363ccc537d6852be487aeae0b5fb7fb8

[ "MIT" ]

null

arcade/examples/sprite_rotate_tank.py

DragonMoffon/arcade

98fb1809363ccc537d6852be487aeae0b5fb7fb8

[ "MIT" ]

null

arcade/examples/sprite_rotate_tank.py

DragonMoffon/arcade

98fb1809363ccc537d6852be487aeae0b5fb7fb8

[ "MIT" ]

null

""" Sprite Rotation With A Tank. Vehicles or tower defense turrets can have parts that can rotate toward targets. These parts are usually represented with separate sprites drawn relative to attachment points on the main body. Because these sprites are usually asymmetrical, we have to rotate them around their attachme...

37.377451

106

0.610098

1,025

7,625

4.39122

0.24

0.063986

0.043546

0.023328

0.301266

0.246168

0.227505

0.212842

0.182404

0

0.011031

0.310426

7,625

203

107

37.561576

0.844998

0.296

0

0.240741

0

0.060145

0.022269

0

1

0.101852

false

0

0.018519

0.009259

0.148148

0

null

0

null

0

1

0

03636efc34bffdf5e5bc02cd6599c5ce0ac214e9

4,913

py

Python

api/modules/github/views.py

prabhakar267/travel-mate-server

2e0aa7c6ac9963c1ee95bda5966be01293935ded

[ "MIT" ]

43

2018-05-23T10:03:40.000Z

2021-09-02T15:55:52.000Z

api/modules/github/views.py

prabhakar267/travel-mate-server

2e0aa7c6ac9963c1ee95bda5966be01293935ded

[ "MIT" ]

141

2018-05-24T16:03:12.000Z

2021-04-30T23:47:59.000Z

api/modules/github/views.py

prabhakar267/travel-mate-server

2e0aa7c6ac9963c1ee95bda5966be01293935ded

[ "MIT" ]

77

2018-06-13T13:51:31.000Z

2021-06-16T16:10:18.000Z

import datetime import requests import requests_cache from rest_framework import status from rest_framework.decorators import api_view from rest_framework.response import Response from api.commonresponses import DOWNSTREAM_ERROR_RESPONSE from api.modules.github import constants from api.modules.github.github_response...

36.664179

101

0.612864

502

4,913

5.784861

0.227092

0.060606

0.046488

0.02927

0.599174

0.572658

0.532025

0.51343

0.498278

0

0.010231

0.303684

4,913

133

102

36.93985

0.838644

0.09485

0

0.515464

0

0.085912

0

1

0.030928

false

0

0.092784

0

0.195876

0

null

0

null

0

1

0

036543a1fbcdcc35bf430e0b5d4150196450f6d6

4,910

py

Python

mkpy3/mkpy3_finder_chart_survey_fits_image_get_v1.py

KenMighell/mkpy3

598126136b43fa93bc4aded5db65a1251d60a9ba

[ "MIT" ]

null

mkpy3/mkpy3_finder_chart_survey_fits_image_get_v1.py

KenMighell/mkpy3

598126136b43fa93bc4aded5db65a1251d60a9ba

[ "MIT" ]

null

mkpy3/mkpy3_finder_chart_survey_fits_image_get_v1.py

KenMighell/mkpy3

598126136b43fa93bc4aded5db65a1251d60a9ba

[ "MIT" ]

1

2020-11-01T18:37:53.000Z

#!/usr/bin/env python3 # file://mkpy3_finder_chart_survey_fits_image_get_v1.py # Kenneth Mighell # SETI Institute # ============================================================================= def mkpy3_finder_chart_survey_fits_image_get_v1( ra_deg=None, dec_deg=None, radius_arcmin=None, survey=No...

26.684783

87

0.627495

633

4,910

4.706161

0.333333

0.016784

0.03424

0.042296

0.098019

0.076536

0.027526

0

0.024606

0.238493

4,910

183

88

26.830601

0.772132

0.352546

0

0.042105

0

0.087261

0

1

0.021053

false

0

0.105263

0

0.147368

0.105263

0

null

0

null

0

1

0

0366c6b949b300f8072c9d5d7dfdc2a101c2a39c

1,737

py

Python

marathontcp.py

StevenPG/JMXMarathonDataAggregator

a976edc2ea27255dca36f584923e3a06dbdec8c6

[ "MIT" ]

null

marathontcp.py

StevenPG/JMXMarathonDataAggregator

a976edc2ea27255dca36f584923e3a06dbdec8c6

[ "MIT" ]

null

marathontcp.py

StevenPG/JMXMarathonDataAggregator

a976edc2ea27255dca36f584923e3a06dbdec8c6

[ "MIT" ]

null

""" marathontcp.py Author: Steven Gantz Date: 11/22/2016 These two classes are used as custom TCP Servers and its accompanying handler that defines each request. These class are what forward the data from the preset /metrics endpoints in the scaled marathon instances directly to the TCP servers running from this appli...

40.395349

110

0.727691

229

1,737

5.406114

0.528384

0.029079

0.031502

0.033926

0.138934

0.095315

0

0.017693

0.186529

1,737

42

111

41.357143

0.858457

0.43293

0

0.124088

0

1

0.133333

false

0

0.133333

0

0.4

0.066667

0

null

0

null

0

1

0

03672787b107ccc21fb75165c7801c0b958f1461

4,600

py

Python

tests/test_io.py

Laharah/horcrux

68f7c6aad0678b39bae888f0dfeb9d1926501a53

[ "MIT" ]

null

tests/test_io.py

Laharah/horcrux

68f7c6aad0678b39bae888f0dfeb9d1926501a53

[ "MIT" ]

null

tests/test_io.py

Laharah/horcrux

68f7c6aad0678b39bae888f0dfeb9d1926501a53

[ "MIT" ]

null

import pytest import io import random from copy import deepcopy from horcrux import io as hio from horcrux.hrcx_pb2 import StreamBlock from horcrux.sss import Share, Point @pytest.fixture() def hx(): return hio.Horcrux(io.BytesIO()) @pytest.fixture() def share(): return Share(b'0123456789abcdef', 2, Point...

27.218935

88

0.668696

709

4,600

4.143865

0.180536

0.038121

0.042886

0.513955

0.42614

0.377127

0.322328

0.24983

0

0.101824

0.201522

4,600

168

89

27.380952

0.698067

0

0.382353

0

0.036765

0.153043

0.12913

0

0.176471

1

0.110294

false

0

0.051471

0.022059

0.183824

0.022059

0

null

0

null

0

1

0

0369ea60607087cd24210a21d5453a467593c1f0

1,817

py

Python

template/diff.py

Nauja/Entropy

e418a7db68a55f17fb3e6c0c3b5018aed7002d4d

[ "MIT" ]

null

template/diff.py

Nauja/Entropy

e418a7db68a55f17fb3e6c0c3b5018aed7002d4d

[ "MIT" ]

null

template/diff.py

Nauja/Entropy

e418a7db68a55f17fb3e6c0c3b5018aed7002d4d

[ "MIT" ]

null

#!/usr/bin/env python3 """ A Pandoc filter to create non-code diffs. `add` and `rm` are the classes that can be added to a `Div` or a `Span`. `add` colors the text green, and `rm` colors the text red. For HTML, `add` also underlines the text, and `rm` also strikes out the text. # Example ## `Div` Unchanged portion...

25.236111

79

0.555861

232

1,817

4.206897

0.362069

0.043033

0.065574

0.038934

0.116803

0.063525

0

0.0008

0.312053

1,817

71

80

25.591549

0.78

0.250963

0

0.166667

0

0.057692

0

1

0.027778

false

0

0.027778

0

0.166667

0

null

0

null

0

1

0

036a6e6b57ea2d5221b7c56f2e175c6cb9c0ca3b

1,304

py

Python

paxful/exceptions.py

tholness/Paxful-API-Wrapper

c66620aa2ef40b97f2794998c63a6bd7504cea3c

[ "MIT" ]

null

paxful/exceptions.py

tholness/Paxful-API-Wrapper

c66620aa2ef40b97f2794998c63a6bd7504cea3c

[ "MIT" ]

null

paxful/exceptions.py

tholness/Paxful-API-Wrapper

c66620aa2ef40b97f2794998c63a6bd7504cea3c

[ "MIT" ]

3

2020-08-09T17:02:06.000Z

2021-04-13T17:45:39.000Z

from __future__ import absolute_import, unicode_literals class PaxfulError(Exception): """Base (catch-all) client exception.""" class RequestError(PaxfulError): """Raised when an API request to fails. :ivar message: Error message. :vartype message: str | unicode :ivar url: API endpoint. ...

28.977778

61

0.692485

153

1,304

5.751634

0.359477

0.061364

0.071591

0.078409

0.068182

0

0.220092

1,304

44

62

29.636364

0.86529

0.486963

0

1

0.071429

false

0

0.071429

0

0.428571

0

null

0

null

0

1

0

036bed92a5a2372689c9a48c62d3c2e337ec2c9b

1,459

py

Python

cogs/logs.py

CoffeeOrg/Coffee

73bf194c3811bb9cf776a0a4db4c6234e471d5ce

[ "MIT" ]

6

2021-02-06T05:43:40.000Z

2021-08-01T22:55:33.000Z

cogs/logs.py

elfw/Coffee

e83868a323084b96b0df3f916090dd17ce34de93

[ "MIT" ]

2

2021-02-06T07:18:10.000Z

2021-02-06T18:42:07.000Z

cogs/logs.py

elfw/Coffee

e83868a323084b96b0df3f916090dd17ce34de93

[ "MIT" ]

10

2021-02-06T03:31:26.000Z

2021-09-22T04:00:23.000Z

import discord from discord.ext import commands from utils.database import sqlite, create_tables class Events(commands.Cog): def __init__(self, bot): self.bot = bot self.db = sqlite.Database() def logs(self, guild_id): data = self.db.fetchrow("SELECT * FROM Logging WHERE guild_id=?", (guild_id,))...

29.77551

154

0.651131

192

1,459

4.833333

0.333333

0.064655

0.029095

0.051724

0.396552

0.323276

0.24569

0

0.010213

0.194654

1,459

48

155

30.395833

0.777872

0

0.307692

0

0.051282

0.217272

0.139136

0

0.010966

0

1

0.076923

false

0

0.076923

0

0.25641

0

null

0

null

0

1

0

036e3669e539c1ee359752125217465762d9b017

4,151

py

Python

scripts/text/text_particles.py

mou3adb/spread_the_particle

6cc666fded62f07380ed1e3ed52969c436295906

[ "MIT" ]

4

2020-08-18T18:33:05.000Z

2021-05-18T23:55:56.000Z

scripts/text/text_particles.py

mou3adb/spread_the_particle

6cc666fded62f07380ed1e3ed52969c436295906

[ "MIT" ]

null

scripts/text/text_particles.py

mou3adb/spread_the_particle

6cc666fded62f07380ed1e3ed52969c436295906

[ "MIT" ]

2

2021-03-03T18:57:06.000Z

2021-05-18T20:43:44.000Z

""" The outfile structure is the following: diameter density birth lifetime is_captured stuck_to_geometry theta (blank line) Re Ur (blank line) n_trajectory x1 y1 up1 vp1 Uf1 Vf1 gradpx1 gradpy1 ap_x1 ap_y1 af_x1 af_y1 x2 y2 up2 vp2 Uf2 Vf2 gradpx2 gradpy2 ap_x2 ap_y2 af_x2 af_y2 ... xNt yNt upNt vpNt UfNt VfNt gradpx...

25.466258

79

0.578897

580

4,151

4.024138

0.218966

0.050129

0.047986

0.056984

0.153385

0.064267

0.015424

0

0.016081

0.26596

4,151

162

80

25.623457

0.749918

0.141171

0

0.20202

0

0.020563

0

1

0.060606

false

0

0.030303

0.020202

0.131313

0

null

0

null

0

1

0

03740eb7b2e0fb107f339fc022308a8b7f886123

3,195

py

Python

csrv/model/deck.py

mrroach/CentralServer

e377c65d8f3adf5a2d3273acd4f459be697aea56

[ "Apache-2.0" ]

null

csrv/model/deck.py

mrroach/CentralServer

e377c65d8f3adf5a2d3273acd4f459be697aea56

[ "Apache-2.0" ]

null

csrv/model/deck.py

mrroach/CentralServer

e377c65d8f3adf5a2d3273acd4f459be697aea56

[ "Apache-2.0" ]

1

2020-09-20T11:26:20.000Z

"""A collection of cards.""" import random from csrv.model import cards from csrv.model.cards import card_info # This import is just to pull in all the card definitions import csrv.model.cards.corp import csrv.model.cards.runner class Deck(object): def __init__(self, identity_name, card_names): self.identity...

35.10989

114

0.699531

475

3,195

4.498947

0.235789

0.037436

0.028077

0.321011

0.220402

0.13664

0

0.004252

0.190297

3,195

90

115

35.5

0.821801

0.16338

0

0.233333

0

0.108945

0

1

0.15

false

0

0.083333

0

0.416667

0

null

0

null

0

1

0

03766bbc82ca9d0b806101dbc0e7af7f9c47c209

476

py

Python

data_structures_and_algorithms/04_menu.py

dileepabandara/return-python

fc269d577eade231bc9e3813654ce9c5848837ca

[ "MIT" ]

1

2022-01-12T17:44:51.000Z

data_structures_and_algorithms/04_menu.py

dileepabandara/return-python

fc269d577eade231bc9e3813654ce9c5848837ca

[ "MIT" ]

null

data_structures_and_algorithms/04_menu.py

dileepabandara/return-python

fc269d577eade231bc9e3813654ce9c5848837ca

[ "MIT" ]

null

ans = True while ans: print(""" 1.Add a Student 2.Delete a Student 3.Look Up Student Record 4.Exit/Quit """) ans = input("What would you like to do? ") if ans == "1": print("\nStudent Added") elif ans == "2": print("\n Student Deleted") elif ans == "3": pr...

22.666667

46

0.521008

66

476

3.757576

0.590909

0.096774

0.104839

0

0.025316

0.336134

476

20

47

23.8

0.759494

0

0.460084

0

1

0

false

0

0.3

0

null

0

null

0

1

0

0376ebb01bd1aa62d9b4075181468b5d09068e7f

525

py

Python

libok.py

txt/se4dm

c38c742039eaa7a15730eb655c4eed067c8a5409

[ "Unlicense" ]

null

libok.py

txt/se4dm

c38c742039eaa7a15730eb655c4eed067c8a5409

[ "Unlicense" ]

9

2015-10-30T12:46:53.000Z

2015-11-25T03:27:49.000Z

libok.py

txt/se4dm

c38c742039eaa7a15730eb655c4eed067c8a5409

[ "Unlicense" ]

2

2018-06-22T15:23:44.000Z

2020-11-05T01:47:54.000Z

from __future__ import print_function, division import sys sys.dont_write_bytecode = True from lib import * @ok def _rseed(): rseed(1) one = list('abcdefghijklm') assert shuffle(one) == ['m', 'h', 'j', 'f', 'a', 'g', 'l', 'd', 'e', 'c', 'i', 'k', 'b'] @ok def _defDict(): d = DefaultDict(lambda: []...

22.826087

50

0.491429

78

525

3.192308

0.74359

0.040161

0

0.044041

0.264762

525

22

51

23.863636

0.601036

0

0.111111

0

0.085714

0

0.111111

1

0.111111

false

0

0.166667

0

0.277778

0.055556

0

null

0

null

0

1

0

037803daf8f26a1fd6b807cb352e059357d3aa0d

734

py

Python

setup.py

ignalex/HAP-python

855577cfcde1bf2f8562caf9fbefda3e4fa8b497

[ "Apache-2.0" ]

1

2018-09-23T20:44:46.000Z

setup.py

ignalex/HAP-python

855577cfcde1bf2f8562caf9fbefda3e4fa8b497

[ "Apache-2.0" ]

1

2019-10-02T11:12:13.000Z

setup.py

ilyamordasov/HAP-python

698eb612c35b5672c4aab9d7896093924cbd358c

[ "Apache-2.0" ]

null

from setuptools import setup import pyhap.const as pyhap_const PROJECT_NAME = 'HAP-python' URL = 'https://github.com/ikalchev/{}'.format(PROJECT_NAME) PROJECT_URLS = { 'Bug Reports': '{}/issues'.format(URL), 'Documentation': 'http://hap-python.readthedocs.io/en/latest/', 'Source': '{}/tree/master'.format...

27.185185

71

0.709809

96

734

5.114583

0.458333

0.101833

0.069246

0

0.117166

734

26

72

28.230769

0.757716

0

0.257493

0

1

0

false

0

0.1

0

0.1

0

null

0

null

0

1

0

037a4b8c8dc9b844a65be270c4263033b7498224

1,291

py

Python

experiments/2014_PLOS-Comp-Bio_Wikidemics-feasibility/scrape_mmwr.py

casmlab/quac

f7b037b15f5ff0db1b9669159f645040abce1766

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

34

2015-01-10T05:44:02.000Z

2021-05-18T02:57:19.000Z

experiments/2014_PLOS-Comp-Bio_Wikidemics-feasibility/scrape_mmwr.py

casmlab/quac

f7b037b15f5ff0db1b9669159f645040abce1766

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

14

2015-02-15T21:58:09.000Z

2020-06-05T18:31:47.000Z

experiments/2014_PLOS-Comp-Bio_Wikidemics-feasibility/scrape_mmwr.py

casmlab/quac

f7b037b15f5ff0db1b9669159f645040abce1766

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

19

2015-02-08T02:24:15.000Z

2020-11-07T13:39:55.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- """ Scrape the MMWR morbidity tables at http://wonder.cdc.gov/mmwr/mmwrmorb.asp. No processing is done; we simply save the files for potential offline processing. """ # Copyright (c) Los Alamos National Security, LLC and others. from __future__ import print_function, d...

32.275

130

0.670023

200

1,291

4.22

0.55

0.037915

0.061611

0.056872

0.122038

0

0.030047

0.175058

1,291

39

131

33.102564

0.762441

0.202169

0

0.045455

0.263261

0.027505

0

1

0

false

0

0.181818

0

0.181818

0.090909

0

null

0

null

0

1

0

037b522742c7eb6098ac17119575246e7a1d22e3

6,970

py

Python

cluster_status.py

jtimberlake/hyper-kube-config

d624f81e04d1560b584bb7b748451dd5181e15bf

[ "MIT" ]

29

2018-10-11T17:34:33.000Z

2019-10-09T04:24:22.000Z

cluster_status.py

silvermullet/kube-auth-store

a9c6966fe7b29e0bf80f9e40027310fd4a07dbc3

[ "MIT" ]

14

2018-12-18T18:14:19.000Z

2019-10-19T18:38:12.000Z

cluster_status.py

silvermullet/kube-auth-store

a9c6966fe7b29e0bf80f9e40027310fd4a07dbc3

[ "MIT" ]

6

2018-11-06T09:32:40.000Z

2019-10-17T18:18:08.000Z

import json import logging import os import traceback from boto3.dynamodb.conditions import Attr, Key import storage from util import lambda_result logger = logging.getLogger('cluster_status') if os.environ.get('DEBUG'): logger.setLevel(logging.DEBUG) def set_cluster_status(event, context): """Set the sta...

32.877358

79

0.628264

771

6,970

5.48249

0.159533

0.070263

0.059617

0.059144

0.647268

0.614384

0.60634

0.583156

0.538443

0.506506

0

0.006692

0.271019

6,970

211

80

33.033175

0.825231

0.082066

0

0.496894

0

0.191258

0.019883

0

1

0.043478

false

0

0.043478

0

0.186335

0.006211

0

null

0

null

0

1

0

037cb54aac999a27c21c13f841feb80028eba68f

1,366

py

Python

ote_sdk/ote_sdk/utils/labels_utils.py

ntyukaev/training_extensions

c897d42e50828fea853ceda0795e1f0e7d6e9909

[ "Apache-2.0" ]

null

ote_sdk/ote_sdk/utils/labels_utils.py

ntyukaev/training_extensions

c897d42e50828fea853ceda0795e1f0e7d6e9909

[ "Apache-2.0" ]

null

ote_sdk/ote_sdk/utils/labels_utils.py

ntyukaev/training_extensions

c897d42e50828fea853ceda0795e1f0e7d6e9909

[ "Apache-2.0" ]

1

2020-12-13T22:13:51.000Z

""" This module implements utilities for labels """ # Copyright (C) 2021-2022 Intel Corporation # SPDX-License-Identifier: Apache-2.0 # from typing import List, Optional from ote_sdk.entities.label import LabelEntity from ote_sdk.entities.label_schema import LabelSchemaEntity from ote_sdk.entities.scored_label impor...

27.32

78

0.7306

172

1,366

5.575581

0.366279

0.114703

0.072993

0.056309

0.120959

0.072993

0

0.009883

0.185212

1,366

49

79

27.877551

0.851752

0.170571

0

1

0.125

false

0

0.166667

0

0.458333

0

null

0

null

0

1

0

cee3692c9f60cfa65662bb7421bd3d405f7b7920

4,329

py

Python

meggie/actions/spectrum_plot/controller/spectrum.py

Teekuningas/meggie

0790559febb990a5487d4f0c92987066632e1d99

[ "BSD-2-Clause-FreeBSD" ]

4

2020-04-29T08:57:11.000Z

2021-01-15T21:21:51.000Z

meggie/actions/spectrum_plot/controller/spectrum.py

Teekuningas/meggie

0790559febb990a5487d4f0c92987066632e1d99

[ "BSD-2-Clause-FreeBSD" ]

16

2019-05-03T10:31:16.000Z

2021-05-06T14:59:55.000Z

meggie/actions/spectrum_plot/controller/spectrum.py

cibr-jyu/meggie

0790559febb990a5487d4f0c92987066632e1d99

[ "BSD-2-Clause-FreeBSD" ]

3

2020-12-12T09:57:00.000Z

2020-12-20T17:12:05.000Z

""" Contains functions for plot spectrum action """ import mne import numpy as np import matplotlib.pyplot as plt from meggie.utilities.plotting import color_cycle from meggie.utilities.plotting import create_channel_average_plot from meggie.utilities.channels import average_to_channel_groups from meggie.utilities.c...

30.921429

85

0.612151

550

4,329

4.6

0.190909

0.024901

0.037549

0.016601

0.46087

0.330435

0.318577

0.290909

0

0.006392

0.2772

4,329

139

86

31.143885

0.802173

0.024255

0

0.347368

0

0.019341

0

1

0.042105

false

0

0.084211

0

0.136842

0

null

0

null

0

1

0

cee59d1b21ebd4c01ff98f1b398ff22e296663a6

7,733

py

Python

data/cyclesps.py

DawyD/UNet-PS-4D

bdd31308854dbd5f309aec9bcc1f7a35f267481d

[ "MIT" ]

1

2021-12-06T17:20:36.000Z

data/cyclesps.py

DawyD/UNet-PS-4D

bdd31308854dbd5f309aec9bcc1f7a35f267481d

[ "MIT" ]

null

data/cyclesps.py

DawyD/UNet-PS-4D

bdd31308854dbd5f309aec9bcc1f7a35f267481d

[ "MIT" ]

3

2021-12-06T08:09:42.000Z

2022-03-12T08:09:34.000Z

""" DataGenerator for CyclesPS Dataset This file use substantial portion of code from the original CNN-PS repository https://github.com/satoshi-ikehata/CNN-PS/ """ import numpy as np import cv2 import os import gc from data.datagenerator import DataGenerator from data.utils import rotate_images from misc.projections ...

40.915344

120

0.557869

957

7,733

4.351097

0.23093

0.017291

0.019212

0.020173

0.25

0.206532

0.174832

0.163785

0.141691

0

0.0262

0.323807

7,733

188

121

41.132979

0.770128

0.079917

0

0.179856

0

0.041212

0

0.014388

1

0.035971

false

0

0.057554

0

0.122302

0.028777

0

null

0

null

0

1

0

ceea1cba85bb3d624953e8ecf28fb6d54fd02614

4,429

py

Python

code/vocabulary.py

TimothyBenger/knausj_talon

10c2440fb3646abda1adc84ca9fd230f752eb353

[ "MIT" ]

null

code/vocabulary.py

TimothyBenger/knausj_talon

10c2440fb3646abda1adc84ca9fd230f752eb353

[ "MIT" ]

null

code/vocabulary.py

TimothyBenger/knausj_talon

10c2440fb3646abda1adc84ca9fd230f752eb353

[ "MIT" ]

null

from talon import Context, Module from .user_settings import get_list_from_csv mod = Module() ctx = Context() mod.list("vocabulary", desc="additional vocabulary words") # Default words that will need to be capitalized (particularly under w2l). # NB. These defaults and those later in this file are ONLY used when # a...

29.925676

121

0.64326

551

4,429

5.087114

0.471869

0.019979

0.014984

0.121655

0.078131

0.060293

0.022833

0

0.000284

0.204561

4,429

147

122

30.129252

0.795345

0.290133

0

0.018018

0

0.482051

0

1

0

false

0

0.018018

0

0.018018

0

null

0

null

0

1

0

ceef88b42a5304577b2b39be8918b4680ae52465

9,605

py

Python

upetem_service.py

myroslav/robot_tests.broker.upetem

323314259faa60618113fbc37b5e1f1d79c2192b

[ "Apache-2.0" ]

null

upetem_service.py

myroslav/robot_tests.broker.upetem

323314259faa60618113fbc37b5e1f1d79c2192b

[ "Apache-2.0" ]

null

upetem_service.py

myroslav/robot_tests.broker.upetem

323314259faa60618113fbc37b5e1f1d79c2192b

[ "Apache-2.0" ]

null

# coding=utf-8 from datetime import datetime, timedelta import dateutil.parser import pytz import urllib TZ = pytz.timezone('Europe/Kiev') def adapt_data(data): data['data']['procuringEntity']['name'] = 'testuser_tender_owner' for x in data['data']['items']: x['unit']['name'] = get_unit_name(x['...

30.785256

158

0.639771

1,143

9,605

5.210849

0.223972

0.044661

0.034755

0.004701

0.303056

0.238079

0.204668

0.180826

0.161854

0

0.005233

0.204165

9,605

311

159

30.884244

0.77394

0.001249

0

0.168776

0

0.004219

0.28485

0.064644

0

1

0.147679

false

0

0.016878

0.299578

0

null

0

null

0

1

0

ceefdd4f273021acf57a211bf9db5e4727c86333

1,638

py

Python

sway/tiling-indicator.py

iziGor/scripts

0076711ab6c423d97c2dad72119fbd57e27fb250

[ "BSD-2-Clause" ]

null

sway/tiling-indicator.py

iziGor/scripts

0076711ab6c423d97c2dad72119fbd57e27fb250

[ "BSD-2-Clause" ]

null

sway/tiling-indicator.py

iziGor/scripts

0076711ab6c423d97c2dad72119fbd57e27fb250

[ "BSD-2-Clause" ]

null

#!/usr/bin/env python3 """ Show split layout indicator Usage: ./tiling-indicator.py Suppoused to be used inside waybar or polybar. Config example: Waybar: "custom/ws": { "exec": "python -u $HOME/.config/sway/scripts/tiling-indicator-2.py 2> /dev/null } Polybar: [module/layout] type = custom/script exec...

22.135135

93

0.582418

196

1,638

4.826531

0.581633

0.047569

0.035941

0.021142

0.173362

0.114165

0

0.063467

0.211233

1,638

73

94

22.438356

0.668731

0.600733

0

0.201908

0.033386

0

1

0.058824

false

0

0.058824

0

0.117647

0.058824

0

null

0

null

0

1

0

cef07786e7e7ac506670e6c1114e7cf83e1eb3a0

5,822

py

Python

cogs/tags.py

Chrovo/Productivity

4bdb7eecfb8ae16b013ce58a1b0421f8f791499e

[ "MIT" ]

null

cogs/tags.py

Chrovo/Productivity

4bdb7eecfb8ae16b013ce58a1b0421f8f791499e

[ "MIT" ]

null

cogs/tags.py

Chrovo/Productivity

4bdb7eecfb8ae16b013ce58a1b0421f8f791499e

[ "MIT" ]

null

from typing import Optional import discord import asyncpg from discord.ext import commands from .utils.pagination import create_paginated_embed class Tags(commands.Cog): """Productivity's tag system.""" def __init__(self, bot:commands.Bot) -> None: self.bot = bot self.emoji = "🏷️ " asy...

39.605442

124

0.5663

708

5,822

4.577684

0.220339

0.030238

0.051836

0.038877

0.379821

0.347115

0.339093

0.312249

0.293119

0.206726

0

0.008899

0.324459

5,822

147

125

39.605442

0.814645

0.004466

0

0.416667

0

0.251069

0

1

0.016667

false

0

0.041667

0

0.125

0

null

0

null

0

1

0

cef53f21d6ccfd1533b28e30e6717c9396761c37

4,027

py

Python

terminalgame/world.py

naslundx/terminalgame

d855ec33ff8a057b1308ad30c54f138343baf56f

[ "MIT" ]

null

terminalgame/world.py

naslundx/terminalgame

d855ec33ff8a057b1308ad30c54f138343baf56f

[ "MIT" ]

null

terminalgame/world.py

naslundx/terminalgame

d855ec33ff8a057b1308ad30c54f138343baf56f

[ "MIT" ]

null

import curses from contextlib import contextmanager from time import sleep from typing import List, Tuple, TYPE_CHECKING from .actions import Action from .properties import Property if TYPE_CHECKING: from .object import Object class World: class __World: def __init__(self, fps: int, render: bool = T...

31.217054

83

0.48746

454

4,027

4.132159

0.231278

0.053305

0.048507

0.040512

0.15565

0.145522

0.088486

0.036247

0

0.008591

0.421902

4,027

128

84

31.460938

0.797251

0.024584

0

0.141414

0

0.003571

0

0.020202

1

0.121212

false

0

0.070707

0.040404

0.292929

0.010101

0

null

0

null

0

1

0

cef7c80ce2c92bb1a2333400473042e3222f6983

1,012

py

Python

data/data-pipeline/data_pipeline/etl/constants.py

vim-usds/justice40-tool

6691df3e318b531b0e05454a79b8560b7d307b36

[ "CC0-1.0" ]

null

data/data-pipeline/data_pipeline/etl/constants.py

vim-usds/justice40-tool

6691df3e318b531b0e05454a79b8560b7d307b36

[ "CC0-1.0" ]

null

data/data-pipeline/data_pipeline/etl/constants.py

vim-usds/justice40-tool

6691df3e318b531b0e05454a79b8560b7d307b36

[ "CC0-1.0" ]

null

DATASET_LIST = [ { "name": "tree_equity_score", "module_dir": "tree_equity_score", "class_name": "TreeEquityScoreETL", }, { "name": "census_acs", "module_dir": "census_acs", "class_name": "CensusACSETL", }, { "name": "ejscreen", "module...

23.534884

51

0.528656

82

1,012

6.134146

0.329268

0.143141

0.059642

0

0.302372

1,012

42

52

24.095238

0.712465

0

0.505929

0.075099

0

1

0

false

0

null

0

null

0

1

0

cefa905aac2153e51d910363e7adb666340184b1

1,955

py

Python

e2e/test_get.py

sturzl/guet

b8c453f07968b689b303e20e7a31b405c02c54ef

[ "Apache-2.0" ]

null

e2e/test_get.py

sturzl/guet

b8c453f07968b689b303e20e7a31b405c02c54ef

[ "Apache-2.0" ]

null

e2e/test_get.py

sturzl/guet

b8c453f07968b689b303e20e7a31b405c02c54ef

[ "Apache-2.0" ]

null

from e2e import DockerTest class TestGet(DockerTest): def test_get_current_prints_currently_set_committers(self): self.guet_init() self.git_init() self.guet_add('initials1', 'name1', 'email1') self.guet_add('initials2', 'name2', 'email2') self.guet_start() self.guet...

38.333333

89

0.658824

253

1,955

4.750988

0.29249

0.086522

0.139767

0.159734

0.618136

0.556572

0.413478

0.222962

0

0.025675

0.223018

1,955

50

90

39.1

0.765635

0

0.384615

0

0.261381

0

0.307692

1

0.102564

false

0

0.025641

0

0.153846

0.102564

0

null

0

null

0

1

0

cefff0cd7583924688b44d3f4da180ddf1bf3140

1,813

py

Python

lesion_tool/waimea.py

alaurent4/nighres

ffb4a478a224190ffe0112f7e4d214ad6825716e

[ "Apache-2.0" ]

null

lesion_tool/waimea.py

alaurent4/nighres

ffb4a478a224190ffe0112f7e4d214ad6825716e

[ "Apache-2.0" ]

null

lesion_tool/waimea.py

alaurent4/nighres

ffb4a478a224190ffe0112f7e4d214ad6825716e

[ "Apache-2.0" ]

1

2019-01-21T10:53:38.000Z

#!/usr/bin/env python """ """ from xml.etree.ElementTree import Element import xml.etree.ElementTree as etree import xml.dom.minidom import re import sys import getopt import os from time import gmtime, strftime from nipype import config, logging from nighres.lesion_tool.lesion_pipeline import Lesion_extractor d...

29.241935

117

0.529509

222

1,813

4.18018

0.391892

0.037716

0.053879

0.030172

0.172414

0

0.008382

0.341975

1,813

62

118

29.241935

0.769489

0.02096

0

0.12

0

0.04

0.199321

0

1

0.02

false

0

0.2

0

0.22

0.08

0

null

0

null

0

1

0

3002f09ad0b6466dc363ed3ed13747fd93bb53e6

2,208

py

Python

system/__init__.py

JHUAPL/meta-system

d3e80e50d64e1a9e83d81efbcb8de1ec9cc34e03

[ "Apache-2.0" ]

5

2021-07-30T00:59:59.000Z

2022-03-23T16:52:46.000Z

system/__init__.py

JHUAPL/meta-system

d3e80e50d64e1a9e83d81efbcb8de1ec9cc34e03

[ "Apache-2.0" ]

null

system/__init__.py

JHUAPL/meta-system

d3e80e50d64e1a9e83d81efbcb8de1ec9cc34e03

[ "Apache-2.0" ]

null

# ********************************************************************** # Copyright (C) 2020 Johns Hopkins University Applied Physics Laboratory # # All Rights Reserved. # For any other permission, please contact the Legal Office at JHU/APL. # # Licensed under the Apache License, Version 2.0 (the "License"); # y...

32.955224

87

0.682065

281

2,208

5.217082

0.44484

0.057299

0.037517

0.047749

0.088677

0

0.004452

0.186141

2,208

66

88

33.454545

0.811352

0.379076

0

1

0.058824

false

0

0.294118

0

0.382353

0.147059

0

null

0

null

0

1

0

30050dc99f412b59d4c595ff2aeb87a711b709c5

1,262

py

Python

main.py

hakierspejs/corononews

f1103da57d5c39694649bf7d7ba7748541dcfbe0

[ "WTFPL" ]

null

main.py

hakierspejs/corononews

f1103da57d5c39694649bf7d7ba7748541dcfbe0

[ "WTFPL" ]

null

main.py

hakierspejs/corononews

f1103da57d5c39694649bf7d7ba7748541dcfbe0

[ "WTFPL" ]

null

#!/usr/bin/env python import flask import requests import lxml.html import logging app = flask.Flask(__name__) LOGGER = logging.getLogger(__name__) HN_BASE_URL = 'https://news.ycombinator.com/' def has_virus(url): if not url.startswith('http://') and not url.startswith('https://'): return True s = re...

28.681818

72

0.568938

173

1,262

3.976879

0.433526

0.040698

0.039244

0

0.006244

0.23851

1,262

43

73

29.348837

0.709677

0.015848

0

0.055556

0

0.262691

0.068493

0

1

0.055556

false

0

0.111111

0

0.277778

0

null

0

null

0

1

0

3007056835a3f4cdbc36d9cf5d7aec07fbd6a6ae

7,134

py

Python

code/func/func.py

lindenmp/neurodev_long

d6efc6b2e212bc6fc0669c80efcfa0b67d1e4b06

[ "MIT" ]

null

code/func/func.py

lindenmp/neurodev_long

d6efc6b2e212bc6fc0669c80efcfa0b67d1e4b06

[ "MIT" ]

5

2020-03-24T17:56:29.000Z

2021-12-13T20:35:48.000Z

code/func/func.py

lindenmp/neurodev_long

d6efc6b2e212bc6fc0669c80efcfa0b67d1e4b06

[ "MIT" ]

null

# Functions for project: NormativeNeuroDev_Longitudinal # Linden Parkes, 2019 # lindenmp@seas.upenn.edu from IPython.display import clear_output import numpy as np import scipy as sp from scipy import stats import pandas as pd from statsmodels.stats import multitest def get_cmap(which_type = 'qual1', num_classes = 8...

36.963731

123

0.528595

1,008

7,134

3.619048

0.343254

0.026316

0.024671

0.037007

0.219298

0.186678

0.171875

0.157072

0.141173

0

0.141251

0.31427

7,134

192

124

37.15625

0.604456

0.094477

0

0.215827

0

0.032389

0

1

0.071942

false

0

0.043165

0

0.179856

0.007194

0

null

0

null

0

1

0

3007a5e506648223a9acc7a03be0c3a03d473f6f

15,808

py

Python

sympy/simplify/sqrtdenest.py

goodok/sympy

de84ed2139125a755ea7b6ba91d945d9fbbe5ed9

[ "BSD-3-Clause" ]

2

2015-05-11T12:26:38.000Z

2016-08-19T00:11:03.000Z

sympy/simplify/sqrtdenest.py

goodok/sympy

de84ed2139125a755ea7b6ba91d945d9fbbe5ed9

[ "BSD-3-Clause" ]

null

sympy/simplify/sqrtdenest.py

goodok/sympy

de84ed2139125a755ea7b6ba91d945d9fbbe5ed9

[ "BSD-3-Clause" ]

null

from sympy.functions import sqrt, sign, root from sympy.core import S, Wild, sympify, Mul, Add, Expr from sympy.core.function import expand_multinomial, expand_mul from sympy.core.symbol import Dummy from sympy.polys import Poly, PolynomialError from sympy.core.function import count_ops def _mexpand(expr): return ...

32.459959

79

0.546748

2,365

15,808

3.570402

0.150106

0.026646

0.004263

0.022383

0.230104

0.185812

0.128375

0.090123

0.084439

0.072359

0

0.037244

0.322305

15,808

486

80

32.526749

0.750957

0.38044

0

0.250923

0

0.000108

0

1

0.04797

false

0.00738

0.0369

0.00369

0.269373

0

null

0

null

0

1

0

3007da11fc7ae07380226f4b542b097442751381

17,074

py

Python

backend/modules/doc/views/doc.py

YouFacai/iWiki

7a2cbb514f25b72932b0212f6165cdb426243243

[ "MIT" ]

null

backend/modules/doc/views/doc.py

YouFacai/iWiki

7a2cbb514f25b72932b0212f6165cdb426243243

[ "MIT" ]

null

backend/modules/doc/views/doc.py

YouFacai/iWiki

7a2cbb514f25b72932b0212f6165cdb426243243

[ "MIT" ]

null

import datetime import os import shutil from django.conf import settings from django.contrib.auth import get_user_model from django.core.cache import cache from django.db import transaction, IntegrityError from django.db.models import Q, F from django.http import FileResponse from django.utils.encoding import escape_u...

38.541761

103

0.602554

2,003

17,074

4.987019

0.142786

0.014416

0.034037

0.039944

0.465312

0.388828

0.342377

0.322655

0.289018

0.247672

0

0.003979

0.278786

17,074

442

104

38.628959

0.807211

0.016516

0

0.357333

0

0.010667

0.177158

0.015288

0

1

0.053333

false

0

0.069333

0.002667

0.226667

0

null

0

null

0

1

0

3007e107fbb9661b8e7f7e4c1d4a01f5c735b272

21,175

py

Python

python/cli/report_study.py

mediumroast/mr_sdk

55c7a13c5cef73e677297026b41b7ec23855391f

[ "Apache-2.0" ]

1

2021-10-06T02:46:48.000Z

python/cli/report_study.py

mediumroast/mr_sdk

55c7a13c5cef73e677297026b41b7ec23855391f

[ "Apache-2.0" ]

3

2021-10-16T03:34:07.000Z

2022-02-23T05:10:12.000Z

python/cli/report_study.py

mediumroast/mr_sdk

55c7a13c5cef73e677297026b41b7ec23855391f

[ "Apache-2.0" ]

null

#!/bin/env python3 import sys import argparse import configparser import docx from docx import Document from docx.shared import Pt, Inches from docx.enum.dml import MSO_THEME_COLOR_INDEX from docx.enum.section import WD_ORIENT, WD_SECTION from datetime import datetime from mediumroast.api.high_level import Auth as au...

39.653558

143

0.648501

2,754

21,175

4.736383

0.133624

0.037259

0.026219

0.030359

0.381631

0.312634

0.26104

0.231754

0.192426

0.189589

0

0.005774

0.231169

21,175

533

144

39.727955

0.795332

0.103566

0

0.28866

0

0.159712

0.004931

0

1

0.054124

false

0.005155

0.030928

0

0.100515

0.005155

0

null

0

null

0

1

0

300d26a47173ec68c9cbc913d71ba1fd8d873df4

17,388

py

Python

hubcheck/browser/browser.py

codedsk/hubcheck

2ff506eb56ba00f035300862f8848e4168452a17

[ "MIT" ]

1

2016-02-13T13:42:23.000Z

hubcheck/browser/browser.py

codedsk/hubcheck

2ff506eb56ba00f035300862f8848e4168452a17

[ "MIT" ]

null

hubcheck/browser/browser.py

codedsk/hubcheck

2ff506eb56ba00f035300862f8848e4168452a17

[ "MIT" ]

null

import pprint import logging import datetime from selenium import webdriver import hubcheck.conf # block websites that make linkcheck slow # these are usually blocked by the workspace firewall # mozillalabs comes from using a nightly version of firefox browser # many of the others are from login authentication site...

45.046632

93

0.41868

1,428

17,388

5.037815

0.267507

0.055046

0.028913

0.040867

0.162775

0.034195

0.027245

0.019461

0.01112

0

0.010867

0.470784

17,388

385

94

45.163636

0.770919

0.307223

0

0.093633

0

0.317729

0.180696

0

1

0.048689

false

0.007491

0.018727

0

0.097378

0.011236

0

null

0

null

0

1

0

300f199f66802964a7132356800aed7b1a0be7f9

7,057

py

Python

appengine/gae_defer_manager/deferred_manager/tests.py

meedan/montage

4da0116931edc9af91f226876330645837dc9bcc

[ "Apache-2.0" ]

6

2018-07-31T16:48:07.000Z

2020-02-01T03:17:51.000Z

appengine/gae_defer_manager/deferred_manager/tests.py

meedan/montage

4da0116931edc9af91f226876330645837dc9bcc

[ "Apache-2.0" ]

41

2018-08-07T16:43:07.000Z

2020-06-05T18:54:50.000Z

appengine/gae_defer_manager/deferred_manager/tests.py

meedan/montage

4da0116931edc9af91f226876330645837dc9bcc

[ "Apache-2.0" ]

1

2018-08-07T16:40:18.000Z

# -*- coding: utf8 -*- import datetime import mock import os import unittest import webapp2 from google.appengine.ext import testbed, deferred from google.appengine.api import queueinfo from . import models from .handler import application from .wrapper import defer TESTCONFIG_DIR = os.path.join( os.path.dirnam...

34.257282

102

0.69803

876

7,057

5.360731

0.186073

0.111158

0.035136

0.04983

0.585818

0.559412

0.465716

0.439523

0.40609

0

0.008289

0.196542

7,057

205

103

34.42439

0.819929

0.016721

0

0.3125

0

0.053937

0.023652

0

0.270833

1

0.166667

false

0.020833

0.069444

0.006944

0.284722

0

null

0

null

0

1

0

30113171dc48ed74cadebf84f1f1fd11cb8f6566

4,023

py

Python

BdBG.py

rongjiewang/BdBG

b4a8fab0fa083aecab10f15431e37b0445722007

[ "MIT" ]

2

2018-11-21T06:39:34.000Z

2018-11-21T06:43:53.000Z

BdBG.py

rongjiewang/BdBG

b4a8fab0fa083aecab10f15431e37b0445722007

[ "MIT" ]

null

BdBG.py

rongjiewang/BdBG

b4a8fab0fa083aecab10f15431e37b0445722007

[ "MIT" ]

null

"""MIT License Copyright (c) 2018 rongjiewang 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, di...

36.243243

126

0.653492

517

4,023

4.984526

0.359768

0.046566

0.065968

0.032596

0.105937

0.074893

0.01785

0

0.006634

0.250559

4,023

110

127

36.572727

0.848093

0.268456

0

0.033333

0

0.016667

0.171731

0

1

0.033333

false

0

0.066667

0

0.116667

0

null

0

null

0

1

0

30119e15a78b5e7aea8cf1c27d45b2140994ce7e

10,820

py

Python

web/lib/console.py

jonathanverner/brython-jinja2

cec6e16de1750203a858d0acf590f230fc3bf848

[ "BSD-3-Clause" ]

2

2020-09-13T17:51:55.000Z

2020-11-25T18:47:12.000Z

web/lib/console.py

jonathanverner/brython-jinja2

cec6e16de1750203a858d0acf590f230fc3bf848

[ "BSD-3-Clause" ]

2

2020-11-25T19:18:15.000Z

2021-06-01T21:48:12.000Z

web/lib/console.py

jonathanverner/brython-jinja2

cec6e16de1750203a858d0acf590f230fc3bf848

[ "BSD-3-Clause" ]

null

""" This module provides the interactive Python console. """ import sys import traceback from browser import window class Console: """ A class providing a console widget. The constructor accepts a domnode which should be a textarea and it takes it over and turns it into a python inter...

39.926199

139

0.539464

1,154

10,820

4.906412

0.279029

0.059343

0.055104

0.039032

0.304839

0.237725

0.206111

0.183681

0.175203

0

0.011079

0.365989

10,820

270

140

40.074074

0.814286

0.067837

0

0.361111

0

0.249673

0.004832

0

1

0.050926

false

0

0.013889

0

0.092593

0.023148

0

null

0

null

0

1

0

30124f8335d73ee7802841f7737a00cbfad26c9f

1,333

py

Python

lldb/test/API/functionalities/breakpoint/breakpoint_on_overload/TestBreakOnOverload.py

LaudateCorpus1/llvm-project

ff2e0f0c1112558b3f30d8afec7c9882c33c79e3

[ "Apache-2.0" ]

null

lldb/test/API/functionalities/breakpoint/breakpoint_on_overload/TestBreakOnOverload.py

LaudateCorpus1/llvm-project

ff2e0f0c1112558b3f30d8afec7c9882c33c79e3

[ "Apache-2.0" ]

null

lldb/test/API/functionalities/breakpoint/breakpoint_on_overload/TestBreakOnOverload.py

LaudateCorpus1/llvm-project

ff2e0f0c1112558b3f30d8afec7c9882c33c79e3

[ "Apache-2.0" ]

null

""" Test setting a breakpoint on an overloaded function by name. """ import re import lldb from lldbsuite.test.decorators import * from lldbsuite.test.lldbtest import * from lldbsuite.test import lldbutil class TestBreakpointOnOverload(TestBase): mydir = TestBase.compute_mydir(__file__) def check_breakpoin...

35.078947

72

0.685671

170

1,333

5.247059

0.452941

0.084081

0.085202

0.089686

0.152466

0

0.001942

0.227307

1,333

37

73

36.027027

0.864078

0.24006

0

0.131868

0

0.15

1

0.1

false

0

0.25

0

0.45

0

null

0

null

0

1

0

30142c5188e376313f7d79178393a7007c7faa25

2,611

py

Python

Intermedio/28 Pomodoro/main.py

YosafatM/100-days-of-Python

e81ab663b7aacb7a904f27a4e6774837cf3594a1

[ "MIT" ]

null

Intermedio/28 Pomodoro/main.py

YosafatM/100-days-of-Python

e81ab663b7aacb7a904f27a4e6774837cf3594a1

[ "MIT" ]

null

Intermedio/28 Pomodoro/main.py

YosafatM/100-days-of-Python

e81ab663b7aacb7a904f27a4e6774837cf3594a1

[ "MIT" ]

null

from tkinter import * # ---------------------------- CONSTANTS ------------------------------- # PINK = "#e2979c" RED = "#e7305b" GREEN = "#9bdeac" YELLOW = "#f7f5dd" FONT_NAME = "Courier" WORK_MIN = 25 SHORT_BREAK_MIN = 5 LONG_BREAK_MIN = 20 is_counting = False reps = 0 timer = None # ---------------------------- ...

27.484211

99

0.573727

332

2,611

4.36747

0.307229

0.055172

0.035862

0.046897

0.074483

0.034483

0

0.041805

0.193795

2,611

94

100

27.776596

0.646556

0.146304

0

0.101449

0

0.066787

0

1

0.043478

false

0.014493

0

0.057971

0

null

0

null

0

1

0

3017c55b6cc7146b6404407438f7cdac4217ef3c

2,529

py

Python

dtcwt/plotting.py

santosh653/dtcwt

01d9e87dc9abfa244a89c1f05aebf3dec6999f3a

[ "BSD-2-Clause" ]

61

2015-01-04T09:21:29.000Z

2022-03-07T16:25:02.000Z

dtcwt/plotting.py

santosh653/dtcwt

01d9e87dc9abfa244a89c1f05aebf3dec6999f3a

[ "BSD-2-Clause" ]

17

2015-04-02T13:37:07.000Z

2018-03-07T09:57:57.000Z

dtcwt/plotting.py

santosh653/dtcwt

01d9e87dc9abfa244a89c1f05aebf3dec6999f3a

[ "BSD-2-Clause" ]

26

2015-04-16T06:22:16.000Z

2021-12-07T09:17:44.000Z

""" Convenience functions for plotting DTCWT-related objects. """ from __future__ import absolute_import import numpy as np from matplotlib.pyplot import * __all__ = ( 'overlay_quiver', ) def overlay_quiver(image, vectorField, level, offset): """Overlays nicely coloured quiver plot of complex coefficients ...

34.643836

145

0.670621

349

2,529

4.819484

0.458453

0.017836

0.040428

0.017836

0.065398

0.043995

0.01308

0

0.034432

0.196125

2,529

72

146

35.125

0.792917

0.514433

0

0.090909

0

0.02415

0

1

0.045455

false

0

0.136364

0

0.227273

0

null

0

null

0

1

0

301a3402ce430cb702ae2f205a2ed74937b55dc4

2,481

py

Python

graphdata/loglog.py

whalenpt/graphdata

d169150f860551d2049342ecf310dc1783987266

[ "MIT" ]

null

graphdata/loglog.py

whalenpt/graphdata

d169150f860551d2049342ecf310dc1783987266

[ "MIT" ]

null

graphdata/loglog.py

whalenpt/graphdata

d169150f860551d2049342ecf310dc1783987266

[ "MIT" ]

null

from graphdata.shared.shared1D import AuxPlotLabelLL1D from graphdata.shared.shared1D import ProcessData1D from graphdata.shared.shared1D import LoadData1D from graphdata.shared.figsizes import LogLogSize from graphdata.shared.shared import ExtendDictionary from graphdata.shared.shared import ProcessComplex from gr...

29.535714

96

0.646514

322

2,481

4.962733

0.360248

0.073217

0.071339

0.050688

0.13204

0.031289

0

0.009424

0.272874

2,481

83

97

29.891566

0.876386

0.341798

0

0.133333

0

0.012402

0

1

0.022222

false

0

0.2

0

0.244444

0

null

0

null

0

1

0

301d726bb49a99005fdbccd8050406dd9847256c

5,387

py

Python

integration-testing/tests/suites/test_premium_account.py

pwei1018/bcrs-testing

318845dede6ce5994b74b976d01f36a503036551

[ "Apache-2.0" ]

2

2020-10-23T22:08:34.000Z

2021-10-19T19:37:21.000Z

integration-testing/tests/suites/test_premium_account.py

pwei1018/bcrs-testing

318845dede6ce5994b74b976d01f36a503036551

[ "Apache-2.0" ]

6

2020-09-29T23:05:34.000Z

2022-01-29T20:59:08.000Z

integration-testing/tests/suites/test_premium_account.py

pwei1018/bcrs-testing

318845dede6ce5994b74b976d01f36a503036551

[ "Apache-2.0" ]

10

2020-09-29T23:05:46.000Z

2021-11-29T23:07:10.000Z

import datetime import json import requests import pytest import random from tests.suites.test_payment import TestPayment from tests.utilities.settings import get_settings, get_test_data, setup_access_data @pytest.mark.incremental @pytest.mark.parametrize('login_session', setup_access_data('PREMIUM', ['BCSC']), indi...

51.304762

138

0.634305

599

5,387

5.427379

0.173623

0.16395

0.052292

0.070747

0.707782

0.689326

0.641956

0.605352

0.507536

0

0.007954

0.253202

5,387

104

139

51.798077

0.800149

0.057732

0

0.518987

0

0.256915

0.164577

0

0.126582

1

0.126582

false

0.012658

0.088608

0

0.240506

0

null

0

null

0

1

0

30220c4e2730501b7f29fa25506bdd0fdf76716c

16,677

py

Python

ehr_ml/clmbr/__init__.py

som-shahlab/ehr_ml

4f83ac5b882916a175f0d242b38d914d00bf8a7c

[ "MIT" ]

4

2021-03-12T21:41:37.000Z

2021-06-25T16:49:52.000Z

ehr_ml/clmbr/__init__.py

som-shahlab/ehr_ml

4f83ac5b882916a175f0d242b38d914d00bf8a7c

[ "MIT" ]

22

2020-11-19T00:04:27.000Z

2022-03-02T18:16:08.000Z

ehr_ml/clmbr/__init__.py

som-shahlab/ehr_ml

4f83ac5b882916a175f0d242b38d914d00bf8a7c

[ "MIT" ]

2

2021-05-12T13:11:46.000Z

2021-10-15T18:30:14.000Z

from __future__ import annotations import argparse import pickle import numpy as np import json import logging import math import glob import random import os import sys import datetime import time from functools import partial from pathlib import Path from collections import defaultdict from shutil import copyfile f...

32.009597

128

0.59651

2,072

16,677

4.580598

0.179054

0.024655

0.04657

0.021073

0.340322

0.286482

0.227479

0.163629

0.10726

0.07544

0

0.012088

0.29064

16,677

520

129

32.071154

0.790194

0.01571

0

0.179775

0

0.002247

0.219906

0.025477

0

0.002247

1

0.013483

false

0

0.076404

0.006742

0.096629

0.022472

0

null

0

null

0

1

0

302482d09ddf1f774c52862c7051a379cb2cfac1

8,215

py

Python

scenarios.py

Sanghyun-Hong/DeepSloth

92b3d0d3ef3f974d8bce7b4b4a1828776227e3c6

[ "MIT" ]

9

2020-12-16T04:55:57.000Z

2022-01-13T08:28:11.000Z

scenarios.py

Sanghyun-Hong/DeepSloth

92b3d0d3ef3f974d8bce7b4b4a1828776227e3c6

[ "MIT" ]

null

scenarios.py

Sanghyun-Hong/DeepSloth

92b3d0d3ef3f974d8bce7b4b4a1828776227e3c6

[ "MIT" ]

1

2021-10-11T06:21:04.000Z

""" A script that partitions the dataset for transferability scenarios """ # basics import numpy as np from PIL import Image # torch... import torch # custom libs import utils # ------------------------------------------------------------------------------ # Misc. functions # ---------------------------------...

45.893855

216

0.667925

1,149

8,215

4.45953

0.136641

0.039032

0.046838

0.039032

0.622365

0.53064

0.356557

0.33509

0.32904

0.318891

0

0.014627

0.209373

8,215

179

217

45.893855

0.774288

0.102374

0

0.175258

0

0.020619

0.080312

0.041782

0

1

0.041237

false

0

0.041237

0

0.134021

0.072165

0

null

0

null

0

1

0

3026fa5fec5a07d66102ae71523732602b37bf87

6,637

py

Python

Multi-agent Transfer RL/Transfer across tasks/Bayes-ToMoP/games.py

TJU-DRL-LAB/transfer-and-multi-task-reinforcement-learning

2d8c12c2b5a4865c02934b63091945d3e2c92e90

[ "MIT" ]

null

Multi-agent Transfer RL/Transfer across tasks/Bayes-ToMoP/games.py

TJU-DRL-LAB/transfer-and-multi-task-reinforcement-learning

2d8c12c2b5a4865c02934b63091945d3e2c92e90

[ "MIT" ]

null

Multi-agent Transfer RL/Transfer across tasks/Bayes-ToMoP/games.py

TJU-DRL-LAB/transfer-and-multi-task-reinforcement-learning

2d8c12c2b5a4865c02934b63091945d3e2c92e90

[ "MIT" ]

null

# coding=utf-8 import numpy as np import imageio from gym import spaces import tkinter as tk from PIL import Image, ImageTk import matplotlib.pyplot as plt import time CELL, BLOCK, AGENT_GOAL, OPPONENT_GOAL, AGENT, OPPONENT = range(6) WIN, LOSE = 5, -5 UP, RIGHT, DOWN, LEFT, HOLD = range(5) UNIT = 40 class Soccer...

39.041176

178

0.552509

998

6,637

3.548096

0.152305

0.109291

0.012708

0.05281

0.57752

0.513697

0.487433

0.453544

0.433211

0

0.042594

0.296068

6,637

169

179

39.272189

0.715325

0.061323

0

0.362903

0

0.009986

0

1

0.040323

false

0

0.056452

0

0.145161

0

null

0

null

0

1

0

302e8f1be7a7ffb783af9f6bd1bdc7f3405e6a18

745

py

Python

brainutils/context.py

jimbuho/django-brain

201237266a64e49b5c37f3d373ff6913dfbd099e

[ "BSD-2-Clause", "Apache-2.0" ]

null

brainutils/context.py

jimbuho/django-brain

201237266a64e49b5c37f3d373ff6913dfbd099e

[ "BSD-2-Clause", "Apache-2.0" ]

null

brainutils/context.py

jimbuho/django-brain

201237266a64e49b5c37f3d373ff6913dfbd099e

[ "BSD-2-Clause", "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """ .. module:: dbu - context :platform: Unix, Windows :synopsis: Contexto Principal por defecto .. moduleauthor:: Diego Gonzalez <dgonzalez.jim@gmail.com> """ from . import configuration from . import models def load_context(request): """ Load Context Description ...

19.102564

58

0.640268

74

745

6.297297

0.662162

0.038627

0.064378

0.06867

0

0.001792

0.251007

745

39

59

19.102564

0.833333

0.377181

0

0.082547

0

1

0.071429

false

0

0.142857

0

0.285714

0

null

0

null

0

1

0

302ff0768eb4d4a5356d5db0b329d974eeccb455

689

py

Python

tests/trainer/test_multi_trainer.py

michael-aloys/knodle

393e7ba0558036828fb228875511977c40000ed5

[ "Apache-2.0" ]

71

2021-04-26T10:39:56.000Z

2022-03-28T14:36:16.000Z

tests/trainer/test_multi_trainer.py

michael-aloys/knodle

393e7ba0558036828fb228875511977c40000ed5

[ "Apache-2.0" ]

92

2021-04-08T12:49:38.000Z

2022-02-03T14:24:05.000Z

tests/trainer/test_multi_trainer.py

michael-aloys/knodle

393e7ba0558036828fb228875511977c40000ed5

[ "Apache-2.0" ]

10

2021-07-08T06:49:28.000Z

2022-01-15T23:28:13.000Z

from tests.trainer.generic import std_trainer_input_1 from knodle.trainer.multi_trainer import MultiTrainer def test_auto_train(std_trainer_input_1): ( model, model_input_x, rule_matches_z, mapping_rules_labels_t, y_labels ) = std_trainer_input_1 trainers = ["majority", "snorkel"...

25.518519

62

0.69521

94

689

4.691489

0.43617

0.090703

0.099773

0.108844

0.104308

0

0.009416

0.229318

689

26

63

26.5

0.821092

0.053701

0

0.044615

0

0.052632

1

0.052632

false

0

0.105263

0

0.157895

0

null

0

null

0

1

0

3033df96925128ff7539e6a8f86e4620e486d85d

18,447

py

Python

iogt_content_migration/management/commands/load_v1_db.py

Albert-Jokelin/iogt

79b1b86c11df7d61ddbbd4ce16303dfe4a1b8465

[ "BSD-2-Clause" ]

null

iogt_content_migration/management/commands/load_v1_db.py

Albert-Jokelin/iogt

79b1b86c11df7d61ddbbd4ce16303dfe4a1b8465

[ "BSD-2-Clause" ]

null

iogt_content_migration/management/commands/load_v1_db.py

Albert-Jokelin/iogt

79b1b86c11df7d61ddbbd4ce16303dfe4a1b8465

[ "BSD-2-Clause" ]

null

from pathlib import Path from django.core.management.base import BaseCommand from wagtail.core.models import Page, Site, Locale from django.core.files.images import ImageFile from wagtail.images.models import Image from wagtail_localize.models import Translation from wagtail_localize.views.submit_translations import Tr...

40.277293

152

0.58725

2,150

18,447

4.782791

0.11814

0.025382

0.015754

0.014004

0.4417

0.397744

0.350579

0.297092

0.273169

0.262958

0

0.006906

0.301404

18,447

457

153

40.365427

0.79103

0.001084

0

0.295567

0

0.002463

0.187246

0.010855

0

1

0.064039

false

0.012315

0.027094

0

0.115764

0

null

0

null

0

1

0

3033fd8167635b4a38bf68dbe82419686667a557

2,968

py

Python

run_files/cip_area_threshold/tissue_data/run_CIP_relaxation_times.py

jessiesrr/VTdyn

6f71ef94525d95221f5bd5e5290f4df10648cd18

[ "MIT" ]

null

run_files/cip_area_threshold/tissue_data/run_CIP_relaxation_times.py

jessiesrr/VTdyn

6f71ef94525d95221f5bd5e5290f4df10648cd18

[ "MIT" ]

null

run_files/cip_area_threshold/tissue_data/run_CIP_relaxation_times.py

jessiesrr/VTdyn

6f71ef94525d95221f5bd5e5290f4df10648cd18

[ "MIT" ]

null

import numpy as np import libs.contact_inhibition_lib as lib #library for simulation routines import libs.data as data import libs.plot as vplt #plotting library from structure.global_constants import * import structure.initialisation as init from structure.cell import Tissue, BasicSpringForceNoGrowth import matplotlib...

44.298507

143

0.738544

471

2,968

4.450106

0.312102

0.01813

0.017176

0.11355

0.103053

0.069656

0

0.032832

0.148248

2,968

67

144

44.298507

0.796282

0.065701

0

0.021763

0.01291

0

1

0.055556

false

0

0.166667

0.018519

0.240741

0

null

0

null

0

1

0

3035188b0c9611cb3581b6c9c987990a72ba1ab9

17,920

py

Python

TAPI_RI/flask_server/tapi_server/models/connection_end_point.py

bartoszm/Snowmass-ONFOpenTransport

874e7a3f311d915d692b27fcbd24032c89064f00

[ "Apache-2.0" ]

null

TAPI_RI/flask_server/tapi_server/models/connection_end_point.py

bartoszm/Snowmass-ONFOpenTransport

874e7a3f311d915d692b27fcbd24032c89064f00

[ "Apache-2.0" ]

null

TAPI_RI/flask_server/tapi_server/models/connection_end_point.py

bartoszm/Snowmass-ONFOpenTransport

874e7a3f311d915d692b27fcbd24032c89064f00

[ "Apache-2.0" ]

null

# coding: utf-8 from __future__ import absolute_import from datetime import date, datetime # noqa: F401 from typing import List, Dict # noqa: F401 from tapi_server.models.base_model_ import Model from tapi_server.models.name_and_value import NameAndValue # noqa: F401,E501 from tapi_server.models.operational_state...

43.814181

536

0.69135

2,174

17,920

5.447562

0.101656

0.030904

0.123617

0.050156

0.777506

0.684877

0.611416

0.513806

0.42903

0.328717

0

0.015882

0.23404

17,920

408

537

43.921569

0.846933

0.461719

0

0.255952

0

0.177799

0.074395

0

1

0.154762

false

0

0.053571

0

0.291667

0

null

0

null

0

1

0

30357aaf0a514c1636520e15938cba9dc811ec7d

901

py

Python

idom_jupyter/jupyter_server_extension.py

idom-team/idom-jupyter

21037d41c51d4d9e23cca4486a850f2915f27d29

[ "MIT" ]

28

2020-09-12T19:59:27.000Z

2022-03-14T10:08:13.000Z

idom_jupyter/jupyter_server_extension.py

idom-team/idom-jupyter

21037d41c51d4d9e23cca4486a850f2915f27d29

[ "MIT" ]

11

2020-10-05T06:54:43.000Z

2022-02-19T21:16:31.000Z

idom_jupyter/jupyter_server_extension.py

idom-team/idom-jupyter

21037d41c51d4d9e23cca4486a850f2915f27d29

[ "MIT" ]

null

from urllib.parse import urljoin from appdirs import user_data_dir from notebook.notebookapp import NotebookApp from idom.config import IDOM_WED_MODULES_DIR from tornado.web import StaticFileHandler from tornado.web import Application IDOM_WED_MODULES_DIR.current = user_data_dir("idom-jupyter", "idom-team") def _l...

29.064516

73

0.712542

110

901

5.463636

0.4

0.039933

0.069884

0.084859

0.079867

0

0.206437

901

30

74

30.033333

0.840559

0.039956

0

0.067207

0.025492

0

1

0.045455

false

0

0.272727

0

0.318182

0

null

0

null

0

1

0

303647975ecbe068790f55c360ba681d772f2c4f

1,033

py

Python

dobot_gym/envs/real/dobot_env.py

sandipan1/dobot_gym

acea98da2506653d45d55e15a036da583415f31d

[ "MIT" ]

1

2020-11-22T11:07:01.000Z

dobot_gym/envs/real/dobot_env.py

sandipan1/dobot_gym

acea98da2506653d45d55e15a036da583415f31d

[ "MIT" ]

null

dobot_gym/envs/real/dobot_env.py

sandipan1/dobot_gym

acea98da2506653d45d55e15a036da583415f31d

[ "MIT" ]

1

2021-01-10T09:36:25.000Z

## common class for only dobot with cam import gym from gym import utils from glob import glob from dobot_gym.utils.dobot_controller import DobotController from gym.spaces import MultiDiscrete class DobotRealEnv(gym.Env, utils.EzPickle): def __init__(self): super().__init__() # Find the port on ...

28.694444

60

0.648596

135

1,033

4.792593

0.481481

0.064915

0.046368

0

0.013141

0.263311

1,033

36

61

28.694444

0.837057

0.075508

0

0.047269

0

1

0.115385

false

0

0.192308

0.038462

0.423077

0.038462

0

null

0

null

0

1

0

3037ce4b050caa1080564ccd27af84ba3f81c62a

1,609

py

Python

Calibration/LumiAlCaRecoProducers/test/crab3_raw_corrC.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

Calibration/LumiAlCaRecoProducers/test/crab3_raw_corrC.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

Calibration/LumiAlCaRecoProducers/test/crab3_raw_corrC.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

######################### #Author: Sam Higginbotham ######################## from WMCore.Configuration import Configuration config = Configuration() #name='Pt11to30' config.section_("General") config.General.requestName = 'PCC_Run2017E_Corrections' config.General.workArea = 'RawPCCZeroBias2017' config.section_("JobT...

36.568182

163

0.778745

188

1,609

6.521277

0.579787

0.114193

0.030995

0.034258

0.04894

0

0.100857

0.057178

1,609

43

164

37.418605

0.707317

0.252952

0

0.043478

0.371278

0.249562

0

1

0

false

0

0.043478

0

0.043478

0

null

0

null

0

1

0

3037ecccd158f87250f163febc7c04a882e857b4

6,819

py

Python

active_frame.py

binhhoangtieu/C3D-tensorflow

d85ef6156abc7fcdb4ab91e5b47a50c5ef5123c6

[ "MIT" ]

1

2019-02-11T15:47:52.000Z

active_frame.py

binhhoangtieu/C3D-tensorflow

d85ef6156abc7fcdb4ab91e5b47a50c5ef5123c6

[ "MIT" ]

null

active_frame.py

binhhoangtieu/C3D-tensorflow

d85ef6156abc7fcdb4ab91e5b47a50c5ef5123c6

[ "MIT" ]

1

2018-12-04T04:55:19.000Z

import cv2 import os import glob import numpy as np from operator import itemgetter # import matplotlib.pyplot as plt import math import scipy.stats as stats def main(): video_dir = './UCF-101' #./testdata result_dir = './UCF101-OF' #test-image loaddata(video_dir = video_dir, depth = 24, dest_forder=result_dir) de...

31.569444

110

0.706555

1,097

6,819

4.238833

0.195989

0.048387

0.014194

0.026022

0.34043

0.286237

0.224731

0.174624

0.142581

0

0.029564

0.151782

6,819

216

111

31.569444

0.774378

0.137264

0

0.196319

0

0.009909

0

1

0.08589

false

0

0.042945

0.006135

0.202454

0.006135

0

null

0

null

0

1

0

30393f74ae0c5c36f82aebb7e0b95f7f112a1231

1,133

py

Python

data_parser.py

JanoHorvath/k-means-clustering

c84e858c3e2bb417ffea11d441797a15c659a7ee

[ "MIT" ]

null

data_parser.py

JanoHorvath/k-means-clustering

c84e858c3e2bb417ffea11d441797a15c659a7ee

[ "MIT" ]

null

data_parser.py

JanoHorvath/k-means-clustering

c84e858c3e2bb417ffea11d441797a15c659a7ee

[ "MIT" ]

null

from random import randint class Dataset: def get_mock_scattered_dataset(self, numberOf, x_upper_bound, y_upper_bound): """ Mock 2D dataset with scattered data points. """ points = [] for i in range(numberOf): point = [randint(0,x_upper_bound), randint(0,y_upper_bound), 'blac...

33.323529

119

0.614298

151

1,133

4.470199

0.337748

0.118519

0.065185

0.048889

0.497778

0.385185

0.284444

0

0.026829

0.276258

1,133

33

120

34.333333

0.796341

0.07767

0

0.421053

0

0.011737

0

1

0.105263

false

0

0.052632

0

0.315789

0

null

0

null

0

1

0

303a0f7118c7766ed025bf5dc2723fe60db8bf3e

623

py

Python

backend/colleges/utils.py

cesko-digital/zacni-uc

281c56aec5509d5dd8bbbd60f054ffcd9156609e

[ "MIT" ]

4

2021-02-26T09:28:14.000Z

2021-07-08T19:21:57.000Z

backend/colleges/utils.py

cesko-digital/zacni-uc

281c56aec5509d5dd8bbbd60f054ffcd9156609e

[ "MIT" ]

35

2021-01-27T08:38:59.000Z

2021-12-13T19:42:38.000Z

backend/colleges/utils.py

cesko-digital/zacni-uc

281c56aec5509d5dd8bbbd60f054ffcd9156609e

[ "MIT" ]

5

2021-01-21T21:35:42.000Z

2022-01-06T10:07:58.000Z

from openpyxl import load_workbook def import_msmt_college_registry_xlsx(path, sheet_name): """ Import XLSX from https://regvssp.msmt.cz/registrvssp/cvslist.aspx (list of colleges and faculties). Parameters: path -- path to XLSX file sheet_name -- "ExportVS" or "ExportFakulty" """...

25.958333

69

0.638844

85

623

4.564706

0.576471

0.069588

0.030928

0

0.006424

0.250401

623

23

70

27.086957

0.824411

0.304976

0

1

0.090909

false

0

0.181818

0

0.363636

0

null

0

null

0

1

0

303b9455bfc79c1d55b5b456a3c9a97a10ddaa26

5,706

py

Python

act/qc/arm.py

jrobrien91/ACT

604b93d75366d23029f89d88df9053d52825c214

[ "BSD-3-Clause" ]

9

2019-03-11T19:41:34.000Z

2019-09-17T08:34:19.000Z

act/qc/arm.py

jrobrien91/ACT

604b93d75366d23029f89d88df9053d52825c214

[ "BSD-3-Clause" ]

127

2019-03-18T12:24:17.000Z

2020-01-06T20:53:06.000Z

act/qc/arm.py

jrobrien91/ACT

604b93d75366d23029f89d88df9053d52825c214

[ "BSD-3-Clause" ]

15

2019-03-11T15:30:56.000Z

2019-11-01T19:10:11.000Z

""" Functions specifically for working with QC/DQRs from the Atmospheric Radiation Measurement Program (ARM). """ import datetime as dt import numpy as np import requests from act.config import DEFAULT_DATASTREAM_NAME def add_dqr_to_qc( obj, variable=None, assessment='incorrect,suspect', exclude=No...

33.174419

91

0.608132

699

5,706

4.885551

0.354793

0.011713

0.015227

0.008785

0.115081

0.09019

0.054466

0.028111

0

0.004328

0.311602

5,706

171

92

33.368421

0.865071

0.400456

0

0.061728

0

0.163087

0.015251

0

1

0.012346

false

0

0.049383

0

0.074074

0.012346

0

null

0

null

0

1

0

303d67c6ff0813b9d6fd68be88e83d8ab918ad04

9,018

py

Python

database/__init__.py

tclarkin/shread_dash

a45e2f2946c74526e69c087587676aaa4cb15fba

[ "CC0-1.0" ]

null

database/__init__.py

tclarkin/shread_dash

a45e2f2946c74526e69c087587676aaa4cb15fba

[ "CC0-1.0" ]

null

database/__init__.py

tclarkin/shread_dash

a45e2f2946c74526e69c087587676aaa4cb15fba

[ "CC0-1.0" ]

null

# -*- coding: utf-8 -*- """ Created on Sun Mar 21 11:55:27 2021 Snow-Hydrology Repo for Evaluation, Analysis, and Decision-making Dashboard (shread_dash.py) Database Initialization This is part of dashboard loading database and other data into memory. The data for the database relies on a series of retrieval scripts ...

37.732218

118

0.662009

1,389

9,018

4.016559

0.237581

0.052698

0.045886

0.034415

0.253271

0.168668

0.04983

0.022943

0.013623

0

0.024575

0.178754

9,018

238

119

37.890756

0.728598

0.178643

0

0.247651

0.074881

0

0.004202

0

1

0.005917

false

0

0.04142

0

0.053254

0.017751

0

null

0

null

0

1

0

303f8a39fa8bc76e0faedd216816494e7f0cf74e

357

py

Python

scripts/test.py

germy/piprint

c4bf36ccf90cbce50ecae4e673b916f0b7a1b522

[ "MIT" ]

null

scripts/test.py

germy/piprint

c4bf36ccf90cbce50ecae4e673b916f0b7a1b522

[ "MIT" ]

null

scripts/test.py

germy/piprint

c4bf36ccf90cbce50ecae4e673b916f0b7a1b522

[ "MIT" ]

null

import sys def write(): print('Creating new text file') name = 'test.txt' # Name of text file coerced with +.txt try: file = open(name,'a') # Trying to create a new file or open one file.close() except: print('Something went wrong! Can\'t tell what?') ...

22.3125

74

0.560224

50

357

4

0.72

0.08

0

0.004167

0.327731

357

16

75

22.3125

0.829167

0.246499

0

0.227092

0

1

0.090909

false

0

0.090909

0

0.181818

0

null

0

null

0

1

0

304744cf40637da26f72f55057da5c765cb35850

27,025

py

Python

marketmodel/neuralsde.py

vicaws/neuralSDE-marketmodel

ffbc558fee273cbae81ffe9312fc878ba4d261d1

[ "MIT" ]

5

2021-08-19T15:24:08.000Z

2022-03-09T07:11:41.000Z

marketmodel/neuralsde.py

vicaws/neuralSDE-marketmodel

ffbc558fee273cbae81ffe9312fc878ba4d261d1

[ "MIT" ]

null

marketmodel/neuralsde.py

vicaws/neuralSDE-marketmodel

ffbc558fee273cbae81ffe9312fc878ba4d261d1

[ "MIT" ]

1

2021-11-10T07:55:06.000Z

""" Construct, train neural-SDE models and simulate trajectories from the learnt models. """ # Copyright 2021 Sheng Wang. # Affiliation: Mathematical Institute, University of Oxford # Email: sheng.wang@maths.ox.ac.uk import numpy as np import os import pandas as pd import tensorflow as tf import tensorflow_probabilit...

35.006477

81

0.559704

3,483

27,025

4.069767

0.127476

0.018624

0.009877

0.008466

0.526702

0.454392

0.417213

0.385608

0.350335

0.333616

0

0.01626

0.342313

27,025

771

82

35.051881

0.781254

0.11704

0

0.347193

0

0.033069

0.015384

0

1

0.035343

false

0

0.02079

0

0.10395

0.008316

0

null

0

null

0

1

0

304748bc2e685abf6332deae76ea083ce94212c7

2,641

py

Python

Rock-paper-scissor/jokenpo.py

Thdahwache/python-learning-trail

357d5d1c6cfa966e347cb5a06cb1f90e3a9ed81d

[ "MIT" ]

null

Rock-paper-scissor/jokenpo.py

Thdahwache/python-learning-trail

357d5d1c6cfa966e347cb5a06cb1f90e3a9ed81d

[ "MIT" ]

null

Rock-paper-scissor/jokenpo.py

Thdahwache/python-learning-trail

357d5d1c6cfa966e347cb5a06cb1f90e3a9ed81d

[ "MIT" ]

null

import random pedra = ''' _______ ---' ____) (_____) (_____) (____) ---.__(___) ''' papel = ''' _______ ---' ____)____ ______) _______) _______) ---.__________) ''' tesoura = ''' _______ ---' ____)____ ______) __________) (____) -...

19.857143

99

0.584248

338

2,641

4.156805

0.180473

0.038434

0.064057

0.115302

0.495374

0.478292

0.414235

0.397865

0.260498

0

0.008915

0.277925

2,641

132

100

20.007576

0.72732

0.040894

0

0.489362

0

0.106383

0.44396

0

1

0.095745

false

0

0.010638

0

0.106383

0.117021

0

null

0

null

0

1

0

30508657d97ad92eed583819ab3856787d5dae52

1,061

py

Python

entity/messagerepo.py

LordOfNightmares/virtual-client-assistant

772282434472fc44caac0cd21f972d6a5cc5c5b8

[ "Apache-2.0" ]

null

entity/messagerepo.py

LordOfNightmares/virtual-client-assistant

772282434472fc44caac0cd21f972d6a5cc5c5b8

[ "Apache-2.0" ]

null

entity/messagerepo.py

LordOfNightmares/virtual-client-assistant

772282434472fc44caac0cd21f972d6a5cc5c5b8

[ "Apache-2.0" ]

null

from entity.message import Message from .databaserepo import DatabaseRepo class MessageDbRepo(DatabaseRepo): def __init__(self): super().__init__("Messages") def all(self, cid): query = "SELECT * FROM " + self.table + " WHERE conversation_id = '" + str(cid) + "'" m_results = self.db.s...

31.205882

93

0.556079

137

1,061

4.145985

0.335766

0.126761

0.047535

0.06338

0.397887

0.323944

0

0.017956

0.317625

1,061

33

94

32.151515

0.766575

0

0.392857

0

0.114986

0

1

0.142857

false

0

0.071429

0

0.428571

0

null

0

null

0

1

0

3052b87761414206a80d473cc44e97d3436908e3

5,043

py

Python

src/utils/interface_audio_io.py

waverDeep/WaveBYOL

ab062c26598e0fa6ab8426498f9920048988b5c1

[ "MIT" ]

1

2022-03-15T00:00:57.000Z

src/utils/interface_audio_io.py

waverDeep/WaveBYOL

ab062c26598e0fa6ab8426498f9920048988b5c1

[ "MIT" ]

null

src/utils/interface_audio_io.py

waverDeep/WaveBYOL

ab062c26598e0fa6ab8426498f9920048988b5c1

[ "MIT" ]

null

import soundfile as sf from tqdm import tqdm import src.utils.interface_file_io as io import librosa import wave import multiprocessing import src.utils.interface_multiprocessing as mi import torchaudio import numpy as np import torch.nn.functional as F import torch torchaudio.set_audio_backend("sox_io") def audio_lo...

36.810219

114

0.691652

685

5,043

4.827737

0.281752

0.033263

0.036287

0.019958

0.166314

0.13547

0.095555

0.057454

0.029634

0

0.021255

0.20702

5,043

136

115

37.080882

0.805701

0.052548

0

0.09901

0

0.049696

0.020969

0

1

0.108911

false

0

0.108911

0.009901

0.29703

0.029703

0

null

0

null

0

1

0

3052bcfb77f4439da2dc55fb76a58f27be220c78

6,318

py

Python

diffusion_utils/utils.py

GallagherCommaJack/diffusion-utils

407e350ec62e204c10366afe66b793f1d1276c1e

[ "MIT" ]

2

2022-01-16T16:16:52.000Z

2022-03-01T11:51:35.000Z

diffusion_utils/utils.py

GallagherCommaJack/diffusion-utils

407e350ec62e204c10366afe66b793f1d1276c1e

[ "MIT" ]

null

diffusion_utils/utils.py

GallagherCommaJack/diffusion-utils

407e350ec62e204c10366afe66b793f1d1276c1e

[ "MIT" ]

null

import math from typing import MutableSequence, Optional, TypeVar, Union import torch from torch import nn from torch import Tensor from torch.types import Number from einops import repeat T = TypeVar("T") def exists(val: Optional[T]) -> bool: return val is not None def default(val: Optional[T], d: T) -> T: ...

25.893443

80

0.623932

915

6,318

4.102732

0.250273

0.038359

0.03463

0.02797

0.225892

0.191529

0.111881

0.071923

0.036761

0

0.011809

0.249446

6,318

243

81

26

0.77984

0.059513

0

0.195266

0

0.006254

0

0.011834

1

0.189349

false

0

0.04142

0.047337

0.426036

0

null

0

null

0

1

0

3053b63c3b7a677ef567ccc253454ec06d5b2791

828

py

Python

FB.py/blog.py

attia7/Test

c74f09816ba2e0798b0533e31ea8b72249dec598

[ "MIT" ]

null

FB.py/blog.py

attia7/Test

c74f09816ba2e0798b0533e31ea8b72249dec598

[ "MIT" ]

11

2020-03-24T17:40:26.000Z

2022-01-13T01:42:38.000Z

FB.py/blog.py

attia7/AttiaGit

c74f09816ba2e0798b0533e31ea8b72249dec598

[ "MIT" ]

null

class Blog: def __init__(self, title, photo, name,date,content): self.title = title self.photo = photo self.name = name self.date = date self.content = content blog1= Blog(title='python bisics', photo='https://images.pexels.com/photos/837140/pexels-photo-837140.jpeg', name='Yasser',date='10-06-2...

29.571429

109

0.711353

127

828

4.606299

0.330709

0.046154

0.076923

0.107692

0.536752

0.425641

0

0.096904

0.102657

828

27

110

30.666667

0.690444

0

0.380435

0

1

0.05

false

0

0.1

0.2

0

null

0

null

0

1

0

3057879143c17360d6498f89a5f3db75d2469ccb

4,075

py

Python

modules/RetrieveResource.py

opentargets/platform-input-support

555c3ed091a7a3a767dc0c37054dbcd369f02252

[ "Apache-2.0" ]

4

2019-03-26T15:54:35.000Z

2021-05-27T13:18:43.000Z

modules/RetrieveResource.py

opentargets/platform-input-support

555c3ed091a7a3a767dc0c37054dbcd369f02252

[ "Apache-2.0" ]

12

2019-04-23T14:45:04.000Z

2022-03-17T09:40:04.000Z

modules/RetrieveResource.py

opentargets/platform-input-support

555c3ed091a7a3a767dc0c37054dbcd369f02252

[ "Apache-2.0" ]

2

2019-06-15T17:21:14.000Z

2021-05-14T18:35:18.000Z

import logging from modules.common.GoogleBucketResource import GoogleBucketResource from modules.common.Utils import Utils from modules.common import create_output_dir, remove_output_dir from yapsy.PluginManager import PluginManager from definitions import PIS_OUTPUT_DIR logger = logging.getLogger(__name__) class Re...

43.351064

117

0.690307

518

4,075

5.225869

0.301158

0.049871

0.049132

0.019948

0.118212

0.070927

0

0.000319

0.230184

4,075

93

118

43.817204

0.862608

0.142822

0

0.044776

0

0.071901

0

1

0.134328

false

0

0.089552

0

0.268657

0

null

0

null

0

1

0

3062f03e110c5a790e2aa16881b269fc800f6f09

2,513

py

Python

baidu_API.py

spencerpomme/coconuts-on-fire

407d61b3583c472707a4e7b077a9a3ab12743996

[ "Apache-2.0" ]

1

2015-04-23T11:43:26.000Z

baidu_API.py

spencerpomme/coconuts-on-fire

407d61b3583c472707a4e7b077a9a3ab12743996

[ "Apache-2.0" ]

null

baidu_API.py

spencerpomme/coconuts-on-fire

407d61b3583c472707a4e7b077a9a3ab12743996

[ "Apache-2.0" ]

null

#!python3 """ A simple script that uses Baidu Place API to search certain kinds of place in a range of circular space. This API can be called maximum 2000 times per day. """ import requests, json # import psycopg2 class ConvertFailure(Exception): def __str__(self): return "Convertion Failed." mykey = "In...

23.707547

78

0.634302

322

2,513

4.829193

0.425466

0.054019

0.048875

0.041158

0.236656

0.200643

0.150482

0

0.029141

0.221647

2,513

105

79

23.933333

0.765849

0.221647

0

0.289855

0

0.184664

0.01252

0

1

0.043478

false

0.014493

0.086957

0.043478

0

null

0

null

0

1

0

3063873cf1d375e656a6b627f5a8d2ac1ba1cb4a

2,293

py

Python

src/models/evaluate_model.py

ThordurPall/MLOpsExercises-

8714d83477f6132893b74675e529bfeef13ece85

[ "MIT" ]

null

src/models/evaluate_model.py

ThordurPall/MLOpsExercises-

8714d83477f6132893b74675e529bfeef13ece85

[ "MIT" ]

null

src/models/evaluate_model.py

ThordurPall/MLOpsExercises-

8714d83477f6132893b74675e529bfeef13ece85

[ "MIT" ]

1

2021-06-11T12:38:38.000Z

# -*- coding: utf-8 -*- import logging from pathlib import Path import click import torch from classifier import Classifier from torchvision import datasets, transforms @click.command() @click.argument('data_filepath', type=click.Path(), default='data') @click.argument('trained_model_filepath', type=click.Path(), ...

35.276923

78

0.645007

279

2,293

5.103943

0.476703

0.042135

0.029494

0.082865

0.043539

0

0.006985

0.250763

2,293

64

79

35.828125

0.821886

0.163541

0

0.101526

0.024198

0

1

0.025

false

0

0.15

0

0.175

0

null

0

null

0

1

0

3068043469fb1de1fd2079110d1f76aaf77142ca

3,253

py

Python

adminwindow.py

gaurav0810-ga/Spot-Counselling-Management-System

34dffa34f1ffe016a912dc3cfcba6cd3f74eee18

[ "Apache-2.0" ]

null

adminwindow.py

gaurav0810-ga/Spot-Counselling-Management-System

34dffa34f1ffe016a912dc3cfcba6cd3f74eee18

[ "Apache-2.0" ]

null

adminwindow.py

gaurav0810-ga/Spot-Counselling-Management-System

34dffa34f1ffe016a912dc3cfcba6cd3f74eee18

[ "Apache-2.0" ]

null

from tkinter import* #=====importing self created module which will show the registartion form=======# import registrationform #=====importing self created module which will help in deleting student record from data base======# import deletestudent #=============importing selfcreated update student record ========...

61.377358

204

0.670765

411

3,253

5.209246

0.311436

0.087342

0.049043

0.058851

0.312471

0.236805

0.146193

0

0.037509

0.106671

3,253

52

205

62.557692

0.698899

0.245927

0

0.173822

0.010101

0

1

0.026316

false

0

0.289474

0

0.315789

0

null

0

null

0

1

0

3069d018acdd28b4231703721ede5dfa5cd4942f

4,665

py

Python

dnachisel/builtin_specifications/AvoidBlastMatches.py

simone-pignotti/DnaChisel

b7f0f925c9daefcc5fec903a13cfa74c3b726a7a

[ "MIT" ]

124

2017-11-14T14:42:25.000Z

2022-03-31T08:02:07.000Z

dnachisel/builtin_specifications/AvoidBlastMatches.py

simone-pignotti/DnaChisel

b7f0f925c9daefcc5fec903a13cfa74c3b726a7a

[ "MIT" ]

65

2017-11-15T07:25:38.000Z

2022-01-31T10:38:45.000Z

dnachisel/builtin_specifications/AvoidBlastMatches.py

simone-pignotti/DnaChisel

b7f0f925c9daefcc5fec903a13cfa74c3b726a7a

[ "MIT" ]

31

2018-10-18T12:59:47.000Z

2022-02-11T16:54:43.000Z

"""Implementation of AvoidBlastMatches.""" from ..Specification import Specification, SpecEvaluation # from .VoidSpecification import VoidSpecification from ..biotools import blast_sequence from ..Location import Location class AvoidBlastMatches(Specification): """Enforce that the sequence has no BLAST matches ...

30.690789

78

0.609003

523

4,665

5.24283

0.313576

0.01787

0.030635

0.019694

0.080963

0.054705

0.027717

0

0.008772

0.315756

4,665

151

79

30.89404

0.850251

0.196999

0

0.04

0

0.017019

0

1

0.05

false

0.01

0.03

0.02

0.18

0

null

0

null

0

1

0

3069d773ef41f354c54cc922824a8eac7764671a

8,769

py

Python

filesysdb/__init__.py

fictorial/filesysdb

bbf1e32218b71c7c15c33ada660433fffc6fa6ab

[ "MIT" ]

2

2016-06-25T16:07:09.000Z

2020-01-18T01:56:30.000Z

filesysdb/__init__.py

fictorial/filesysdb

bbf1e32218b71c7c15c33ada660433fffc6fa6ab

[ "MIT" ]

null

filesysdb/__init__.py

fictorial/filesysdb

bbf1e32218b71c7c15c33ada660433fffc6fa6ab

[ "MIT" ]

null

from aadict import aadict from cachetools import LRUCache import ujson as json import regex from shortuuid import uuid from functools import wraps from glob import glob from time import time import logging import os import shutil import unicodedata _logger = logging.getLogger(__name__) _basepath = None _serialize =...

30.134021

73

0.655149

1,188

8,769

4.690236

0.207071

0.03733

0.022613

0.017947

0.174803

0.131371

0.092965

0.046662

0

0.001341

0.234462

8,769

290

74

30.237931

0.828691

0.294218

0

0.134503

0

0.046022

0

0.035088

1

0.134503

false

0.017544

0.070175

0

0.274854

0

null

0

null

0

1

0

306d9087bb69542cb8af6dee2a42b1098927e7a0

1,192

py

Python

packages/postgres-database/src/simcore_postgres_database/migration/versions/39fa67f45cc0_adds_table_for_scicrunch_rrids.py

colinRawlings/osparc-simcore

bf2f18d5bc1e574d5f4c238d08ad15156184c310

[ "MIT" ]

25

2018-04-13T12:44:12.000Z

2022-03-12T15:01:17.000Z

packages/postgres-database/src/simcore_postgres_database/migration/versions/39fa67f45cc0_adds_table_for_scicrunch_rrids.py

colinRawlings/osparc-simcore

bf2f18d5bc1e574d5f4c238d08ad15156184c310

[ "MIT" ]

2,553

2018-01-18T17:11:55.000Z

2022-03-31T16:26:40.000Z

packages/postgres-database/src/simcore_postgres_database/migration/versions/39fa67f45cc0_adds_table_for_scicrunch_rrids.py

mrnicegyu11/osparc-simcore

b6fa6c245dbfbc18cc74a387111a52de9b05d1f4

[ "MIT" ]

20

2018-01-18T19:45:33.000Z

2022-03-29T07:08:47.000Z

"""Adds table for scicrunch rrids Revision ID: 39fa67f45cc0 Revises: 3452ca7b13e9 Create Date: 2020-12-15 18:16:03.581479+00:00 """ import sqlalchemy as sa from alembic import op # revision identifiers, used by Alembic. revision = "39fa67f45cc0" down_revision = "3452ca7b13e9" branch_labels = None depends_on = None ...

25.913043

65

0.605705

130

1,192

5.461538

0.492308

0.056338

0.084507

0.088732

0.349296

0.267606

0.143662

0

0.061086

0.258389

1,192

45

66

26.488889

0.742081

0.266779

0

0.357143

0

0.148148

0

1

0.071429

false

0

0.071429

0

0.142857

0

null

0

null

0

1

0

307114b26313aa3265e1bd2c48447893e64378ae

2,541

py

Python

conexionbasedato.py

feedesa/MyPythonScripts

66f06f9d44ea6c76cfadb1a620bb468176beefe0

[ "MIT" ]

null

conexionbasedato.py

feedesa/MyPythonScripts

66f06f9d44ea6c76cfadb1a620bb468176beefe0

[ "MIT" ]

null

conexionbasedato.py

feedesa/MyPythonScripts

66f06f9d44ea6c76cfadb1a620bb468176beefe0

[ "MIT" ]

null

import pymysql from tkinter import messagebox class Socios(): def abrir(self): bbdd= pymysql.connect( host= "localhost", user= "root", passwd="", db= "ejemplo1") return bbdd def alta(self,datos): ''' datos[0]: id datos[1]: nombre ''' bbdd=self.abrir() ...

21

104

0.547816

255

2,541

5.443137

0.301961

0.056196

0.057637

0.063401

0.603746

0.569885

0.526657

0.480548

0.434438

0

0.009045

0.303817

2,541

120

105

21.175

0.775579

0.536009

0

0.4

0

0.059621

0

1

0.12

false

0.04

0.08

0

0.32

0.04

0

null

0

null

0

1

0

30713a8fbba0af913226f90bffb00ec0ccd49f74

1,420

py

Python

HLTrigger/Configuration/python/Tools/dasFileQuery.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

HLTrigger/Configuration/python/Tools/dasFileQuery.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

HLTrigger/Configuration/python/Tools/dasFileQuery.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

import sys import json import das_client def dasFileQuery(dataset): query = 'dataset dataset=%s' % dataset host = 'https://cmsweb.cern.ch' # default idx = 0 # default limit = 0 # unlimited debug = 0 # defaul...

39.444444

86

0.554225

178

1,420

4.393258

0.38764

0.092072

0.053708

0.051151

0.222506

0.14578

0

0.014418

0.316197

1,420

35

87

40.571429

0.790937

0.141549

0

0.206897

0

0.18807

0

1

0.034483

false

0

0.103448

0

0.241379

0

null

0

null

0

1

0

3073c042c76656cc6f035106fb8e66424b847e5f

477

py

Python

00-modules/builtin_modules/pickle_examples.py

cccaaannn/useful_functions

1570cda8c642a39f04ed9f22ebeeab2bfb9e9424

[ "MIT" ]

null

00-modules/builtin_modules/pickle_examples.py

cccaaannn/useful_functions

1570cda8c642a39f04ed9f22ebeeab2bfb9e9424

[ "MIT" ]

null

00-modules/builtin_modules/pickle_examples.py

cccaaannn/useful_functions

1570cda8c642a39f04ed9f22ebeeab2bfb9e9424

[ "MIT" ]

null

import pickle # pickle can serialize python objects data = {1:"hi", 2: "there"} # convert to byte byte_data = pickle.dumps(data) # convert back to python object data2 = pickle.loads(byte_data) # ----------using with files---------- filename = "" # write to a file pickle.dump(data, open(filename, "wb" )) with op...

17.666667

58

0.677149

68

477

4.691176

0.558824

0.112853

0.087774

0

0.007481

0.159329

477

26

59

18.346154

0.78803

0.312369

0

0.040752

0

1

0

false

0

0.111111

0

0.111111

0

null

0

null

0

1

0

30750377e92de60cf64b84cb659e89e05ec986a3

4,676

py

Python

appsite/scripts/cactus/loaddb.py

inchiresolver/inchiresolver

6b3f080a4364ebe7499298e5a1b3cd4ed165322d

[ "BSD-3-Clause" ]

3

2020-10-22T06:18:17.000Z

2021-03-19T16:49:00.000Z

appsite/scripts/cactus/loaddb.py

inchiresolver/inchiresolver

6b3f080a4364ebe7499298e5a1b3cd4ed165322d

[ "BSD-3-Clause" ]

11

2019-11-01T23:04:31.000Z

2022-02-10T12:32:11.000Z

appsite/scripts/cactus/loaddb.py

inchiresolver/inchiresolver

6b3f080a4364ebe7499298e5a1b3cd4ed165322d

[ "BSD-3-Clause" ]

null

from os import sys, path from resolver.models import * sys.path.append(path.dirname(path.dirname(path.abspath(__file__)))) sys.path.append('/home/app') from client.lib.cactus_client import CactusClient def run(): Organization.objects.all().delete() Inchi.objects.all().delete() Publisher.objects.all().d...

27.833333

111

0.594311

523

4,676

5.24283

0.323136

0.03647

0.047411

0.054705

0.259664

0.213713

0.141867

0.112691

0.073304

0

0.028402

0.27716

4,676

167

112

28

0.78284

0.049829

0

0.096296

0

0.286262

0.026844

0

1

0.007407

false

0

0.022222

0

0.02963

0.022222

0

null

0

null

0

1

0

307b75907e2ef43110ad5b30dc9de4dad44b596b

1,454

py

Python

misago/acl/admin.py

HenryChenV/iJiangNan

68f156d264014939f0302222e16e3125119dd3e3

[ "MIT" ]

1

2017-07-25T03:04:36.000Z

misago/acl/admin.py

HenryChenV/iJiangNan

68f156d264014939f0302222e16e3125119dd3e3

[ "MIT" ]

null

misago/acl/admin.py

HenryChenV/iJiangNan

68f156d264014939f0302222e16e3125119dd3e3

[ "MIT" ]

null

from django.conf.urls import url from django.utils.translation import ugettext_lazy as _ from .views import DeleteRole, EditRole, NewRole, RolesList, RoleUsers class MisagoAdminExtension(object): def register_urlpatterns(self, urlpatterns): # Permissions section urlpatterns.namespace(r'^permissio...

37.282051

79

0.586657

156

1,454

5.378205

0.365385

0.091776

0.059595

0.096544

0.085816

0

0.253783

1,454

38

80

38.263158

0.773272

0.017194

0

0.129032

0

0.278401

0.143058

0

1

0.064516

false

0

0.096774

0

0.193548

0

null

0

null

0

1

0

307c7a8c88bf6ef5840be4d2b400a14178b101d4

5,138

py

Python

src/visualization.py

DianaTaukin/DSD-SATN

5a4ab5e3cfcb00e72ca27cf5ec10a8d8e29ef312

[ "Apache-2.0" ]

71

2020-04-06T08:23:30.000Z

2022-03-21T03:40:11.000Z

src/visualization.py

DianaTaukin/DSD-SATN

5a4ab5e3cfcb00e72ca27cf5ec10a8d8e29ef312

[ "Apache-2.0" ]

10

2020-04-11T14:45:52.000Z

2021-08-19T04:44:13.000Z

src/visualization.py

DianaTaukin/DSD-SATN

5a4ab5e3cfcb00e72ca27cf5ec10a8d8e29ef312

[ "Apache-2.0" ]

8

2020-05-19T12:18:49.000Z

2022-03-22T08:04:27.000Z

from base import * import utils.neuralrenderer_render as nr class Visualizer(object): def __init__(self,high_resolution=False): self.high_resolution = high_resolution self.renderer = nr.get_renderer(high_resolution=self.high_resolution).cuda() def visualize_renderer(self,verts,images):...

49.883495

194

0.571039

680

5,138

4.142647

0.214706

0.079517

0.022364

0.022719

0.28612

0.242102

0.220092

0.200923

0.122826

0

0.033016

0.263137

5,138

103

195

49.883495

0.711041

0.107824

0

0.168831

0

0.017901

0

1

0.064935

false

0

0.025974

0

0.116883

0.025974

0

null

0

null

0

1

0

307f461b2850c76795bf48a0896004e467675d49

455

py

Python

proxy/test/test_proxy.py

SFFReganDowling/test

c141daca395585710e5ff335e96ffd23ce9c71bb

[ "MIT" ]

3

2015-11-26T11:44:57.000Z

2021-12-07T18:08:53.000Z

proxy/test/test_proxy.py

SFFReganDowling/test

c141daca395585710e5ff335e96ffd23ce9c71bb

[ "MIT" ]

5

2016-04-22T10:06:41.000Z

2022-02-27T02:53:10.000Z

proxy/test/test_proxy.py

SFFReganDowling/test

c141daca395585710e5ff335e96ffd23ce9c71bb

[ "MIT" ]

null

import wsgiref.util import flask from proxy import proxy # pylint: disable=W0212 def test_happy_path(): environ = { "REQUEST_METHOD": "GET", "PATH_INFO": "/locationforecast/1.9/", "QUERY_STRING": "lat=59.31895603;lon=18.0517762", "HTTP_REFERER": "https://walles.github.io/weather...

21.666667

64

0.674725

54

455

5.5

0.722222

0.074074

0

0.06812

0.193407

455

20

65

22.75

0.741144

0.046154

0

0.321759

0.12037

0

1

0.076923

false

0

0.230769

0

0.307692

0

null

0

null

0

1

0

3080c9c3e2fa02a8d02d8a5c53a2bd5e45b99323

6,756

py

Python

exps/jets/top_quark_gbdt.py

ranigb/Set-Tree

fa3971f9a8ef98dbfd0f6de654efcde3006a197b

[ "MIT" ]

17

2021-07-26T01:03:59.000Z

2022-01-23T10:31:56.000Z

exps/jets/top_quark_gbdt.py

ranigb/Set-Tree

fa3971f9a8ef98dbfd0f6de654efcde3006a197b

[ "MIT" ]

2

2021-12-10T09:53:48.000Z

2022-01-25T17:08:41.000Z

exps/jets/top_quark_gbdt.py

ranigb/Set-Tree

fa3971f9a8ef98dbfd0f6de654efcde3006a197b

[ "MIT" ]

3

2021-09-14T11:39:35.000Z

2022-01-23T06:51:48.000Z

import os import numpy as np import argparse import logging import random import pickle from pprint import pformat from exps.data import ParticleNetDataset from settree.set_data import SetDataset, OPERATIONS, merge_init_datasets import exps.eval_utils as eval from exps.eval_utils import create_logger data_root = '/ho...

43.87013

112

0.568532

789

6,756

4.532319

0.238276

0.061521

0.098434

0.031879

0.35962

0.311521

0.276846

0.141779

0.11717

0

0.01313

0.312315

6,756

153

113

44.156863

0.756565

0.010213

0

0.15748

0

0.173399

0.02319

0

1

0.015748

false

0.007874

0.086614

0

0.11811

0.007874

0

null

0

null

0

1

0

061a89369cd09d094301833ef16484b3a48346f9

2,801

py

Python

wonk/config.py

cjduffett/wonk

7ee7d6e444497cb91901ed4bd6de53d5aa574963

[ "Apache-2.0" ]

103

2021-09-25T03:03:32.000Z

2022-03-20T19:13:48.000Z

wonk/config.py

cjduffett/wonk

7ee7d6e444497cb91901ed4bd6de53d5aa574963

[ "Apache-2.0" ]

null

wonk/config.py

cjduffett/wonk

7ee7d6e444497cb91901ed4bd6de53d5aa574963

[ "Apache-2.0" ]

6

2021-09-27T17:50:23.000Z

2022-02-15T22:44:12.000Z

"""Manage Wonk's configuration.""" import pathlib from typing import Any, Dict, List import yaml from pydantic import BaseModel from toposort import toposort_flatten # type: ignore from wonk.exceptions import UnknownParentError class PolicySet(BaseModel): """Describes a policy set.""" name: str manag...

30.11828

98

0.672617

367

2,801

4.978202

0.326975

0.098522

0.041051

0.01642

0.085386

0.067871

0.03503

0

0.241342

2,801

92

99

30.445652

0.859765

0.265976

0

0.08

0

0.011917

0

1

0.08

false

0

0.12

0

0.42

0

null

0

null

0

1

0

061be587da4bb712ec3ad5fa16ba9684df1988f9

5,325

py

Python

models/quantize_utils.py

ARM-software/sesr

26dd727996809fe13efb0c0f137f259c1b2d0f6e

[ "Apache-2.0" ]

25

2021-11-08T12:48:09.000Z

2022-03-29T02:56:18.000Z

models/quantize_utils.py

ARM-software/sesr

26dd727996809fe13efb0c0f137f259c1b2d0f6e

[ "Apache-2.0" ]

12

2021-10-04T05:59:56.000Z

2022-03-29T06:06:17.000Z

models/quantize_utils.py

ARM-software/sesr

26dd727996809fe13efb0c0f137f259c1b2d0f6e

[ "Apache-2.0" ]

6

2021-11-26T09:27:18.000Z

2022-02-24T14:52:01.000Z

# Copyright 2021 Arm 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 law or agree...

40.037594

105

0.637934

725

5,325

4.441379

0.268966

0.047205

0.041925

0.039752

0.298137

0.206522

0.13882

0.111801

0.08882

0

0.004831

0.261408

5,325

132

106

40.340909

0.813883

0.209765

0

0.2

0

0.011055

0

1

0.1

false

0

0.022222

0.011111

0.211111

0

null

0

null

0

1

0

061ff9f824e772b63623e52f1ce6ebb062cf98da

3,192

py

Python

sorting/sorting_train.py

soumen-chakrabarti/gumbel_sinkhorn

aedf8adbc7f123821374da84a23e51d3a0cf54c5

[ "Apache-2.0" ]

65

2017-09-24T19:38:34.000Z

2022-01-18T16:07:05.000Z

sorting/sorting_train.py

soumen-chakrabarti/gumbel_sinkhorn

aedf8adbc7f123821374da84a23e51d3a0cf54c5

[ "Apache-2.0" ]

null

sorting/sorting_train.py

soumen-chakrabarti/gumbel_sinkhorn

aedf8adbc7f123821374da84a23e51d3a0cf54c5

[ "Apache-2.0" ]

22

2017-10-01T12:55:38.000Z

2022-01-13T19:33:15.000Z

# Copyright 2017 Google Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,...

35.466667

79

0.635965

410

3,192

4.736585

0.456098

0.030896

0.037075

0.021627

0.053553

0.027806

0

0.015344

0.285401

3,192

89

80

35.865169

0.836037

0.274123

0

0.036364

0

0.139687

0

1

0.018182

false

0

0.090909

0

0.109091

0.018182

0

null

0

null

0

1

0

0624b48ea9d4dc4aaa2193d16b26d5a5663fbaf2

1,578

py

Python

tests/cli_test.py

chineseluo/opensourcetest

b0d222c8b29ff8f70a740ac2b1588a437d41b761

[ "Apache-2.0" ]

69

2020-10-20T14:25:49.000Z

2022-02-18T02:50:20.000Z

tests/cli_test.py

aoozoo/opensourcetest

6eaff706c9397847834ef3eef7ad57d5b7f5c5a3

[ "Apache-2.0" ]

6

2020-11-23T06:56:09.000Z

2022-03-16T04:33:53.000Z

tests/cli_test.py

aoozoo/opensourcetest

6eaff706c9397847834ef3eef7ad57d5b7f5c5a3

[ "Apache-2.0" ]

8

2021-02-01T03:23:20.000Z

2022-02-18T02:50:47.000Z

#!/user/bin/env python # -*- coding: utf-8 -*- """ ------------------------------------ @Project : opensourcetest @Time : 2020/11/12 15:01 @Auth : chineseluo @Email : 848257135@qq.com @File : cli_test.py @IDE : PyCharm ------------------------------------ """ import os import sys import unittest from op...

27.684211

49

0.591255

188

1,578

4.819149

0.335106

0.046358

0.072848

0.092715

0.646799

0.560706

0

0.023451

0.243346

1,578

56

50

28.178571

0.735343

0.166667

0

0.514286

0

0.063553

0

0.342857

1

0.171429

false

0

0.114286

0

0.314286

0

null

0

null

0

1

0

0625d68871943fd8a255cbe675fa3fb3bffccaf0

2,364

py

Python

multicast_client.py

mmuravytskyi/multiprotocol-chat

1a763c53c43d1d7e07ecf066bb0ed3d9dbc73af9

[ "MIT" ]

null

multicast_client.py

mmuravytskyi/multiprotocol-chat

1a763c53c43d1d7e07ecf066bb0ed3d9dbc73af9

[ "MIT" ]

2

2021-05-28T10:56:22.000Z

2021-05-28T10:56:35.000Z

multicast_client.py

mmuravytskyi/multiprotocol-chat

1a763c53c43d1d7e07ecf066bb0ed3d9dbc73af9

[ "MIT" ]

1

2021-12-31T15:08:27.000Z

import socket import struct import config import json import threading import random def multicast_handler(client_port: int): # create the datagram socket sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) sock.bind(('', client_port)) # set a timeout so the socket does not block indefinitely when...

32.383562

94

0.629019

304

2,364

4.769737

0.427632

0.024828

0.049655

0.027586

0.089655

0

0.012317

0.278765

2,364

72

95

32.833333

0.838123

0.189086

0

0.18

0

0.163255

0.011024

0

1

0.04

false

0

0.12

0

0.16

0.12

0

null

0

null

0

1

0