xszheng2020/the_stack_dedup_python · Datasets at Hugging Face

fcc1530ac8b10a17bd4fe4a2a933eb918ae322db

1,050

py

Python

tests/test_self_relation.py

5thsymphony/sqlalchemy-to-ormar

9b732739355c39e2d5237af7cb4c1aa15e7f356f

[ "MIT" ]

5

2021-04-10T13:01:11.000Z

2021-08-02T21:28:37.000Z

tests/test_self_relation.py

5thsymphony/sqlalchemy-to-ormar

9b732739355c39e2d5237af7cb4c1aa15e7f356f

[ "MIT" ]

1

2021-04-29T17:22:10.000Z

2021-05-03T16:40:40.000Z

tests/test_self_relation.py

5thsymphony/sqlalchemy-to-ormar

9b732739355c39e2d5237af7cb4c1aa15e7f356f

[ "MIT" ]

1

2022-02-02T20:27:24.000Z

from databases import Database from sqlalchemy import ( Column, ForeignKey, Integer, MetaData, String, create_engine, ) from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.orm import relationship from sqlalchemy_to_ormar import sqlalchemy_to_ormar Base = declarative_base() ...

27.631579

79

0.733333

128

1,050

5.789063

0.414063

0.080972

0.051282

0

0.015837

0.158095

1,050

37

80

28.378378

0.822398

0.011429

0

0.046332

0

0.033333

1

0.033333

false

0.033333

0.166667

0

0.533333

0

null

0

null

0

1

0

1

fcc1840932d14855ac81775c732f4766b613aa60

1,927

py

Python

tests/test_api_bot_snake.py

gatarelib/site

81c71a58b949cb346e6af95d2cc3a7c4a71f36fe

[ "MIT" ]

null

tests/test_api_bot_snake.py

gatarelib/site

81c71a58b949cb346e6af95d2cc3a7c4a71f36fe

[ "MIT" ]

null

tests/test_api_bot_snake.py

gatarelib/site

81c71a58b949cb346e6af95d2cc3a7c4a71f36fe

[ "MIT" ]

null

"""Tests the `/api/bot/snake_` endpoints.""" from tests import SiteTest, app class TestSnakeFactsAPI(SiteTest): """GET method - get snake fact""" def test_snake_facts(self): response = self.client.get( '/bot/snake_facts', app.config['API_SUBDOMAIN'], headers=app.c...

29.646154

63

0.613908

218

1,927

5.275229

0.224771

0.078261

0.052174

0.095652

0.733913

0.668696

0.582609

0.516522

0

0.010526

0.260509

1,927

64

30.109375

0.796491

0.091853

0

0.533333

0

0.12355

0.016821

0

0.222222

1

0.111111

false

0

0.022222

0

0.222222

0

null

0

null

0

1

0

fcc1d38991ad927da7c9cb2f94c47879d3c7c94d

341

py

Python

setup.py

medecau/yamly

6d10f5e58ced6490489f8c7dff856cb1553fd7d7

[ "MIT" ]

1

2018-01-26T04:01:58.000Z

setup.py

medecau/yamly

6d10f5e58ced6490489f8c7dff856cb1553fd7d7

[ "MIT" ]

null

setup.py

medecau/yamly

6d10f5e58ced6490489f8c7dff856cb1553fd7d7

[ "MIT" ]

null

from distutils.core import setup setup(name = 'yamly', version = '0.1', py_modules = ['yamly',], description = "pyyaml wrapper", author = "Pedro Rodrigues", author_email = "medecau@gmail.com", license = 'MIT', url = "http://medecau.github.com/pyyaml/", install_requires =...

26.230769

48

0.580645

36

341

5.416667

0.805556

0

0.007937

0.260997

341

12

49

28.416667

0.765873

0

0.296188

0

1

0

true

0

0.090909

0

0.090909

0

null

0

null

0

1

0

1

fcc1e4d659fe51f2efed9d496e3e3017872843f1

6,225

py

Python

final/filters.py

jgardezi/BATrader

6f032305db4e699b7fcf2d5300102381ad2bde8b

[ "Apache-2.0" ]

1

2021-03-24T03:37:22.000Z

final/filters.py

jgardezi/BATrader

6f032305db4e699b7fcf2d5300102381ad2bde8b

[ "Apache-2.0" ]

null

final/filters.py

jgardezi/BATrader

6f032305db4e699b7fcf2d5300102381ad2bde8b

[ "Apache-2.0" ]

1

2022-02-18T21:38:56.000Z

# -*- coding: utf-8 -*- """ Created on Mon Oct 29 09:35:35 2018 @author: Branson """ import BATrader as ba from BATrader.market.MarketReader import convert import pandas as pd from functools import partial class Filters(object): """ FIlter ------------------------------------------ Filter is ...

31.439394

119

0.571245

811

6,225

4.183724

0.257707

0.083112

0.060124

0.05305

0.353669

0.280283

0.2458

0.21957

0.186855

0.163867

0

0.024229

0.297189

6,225

197

120

31.598985

0.751314

0.307149

0

0.055556

0

0.041557

0

1

0.263889

false

0

0.055556

0.625

0

null

0

null

0

1

0

1

0

2

fcc4668a5e3fb2d85a205fdd37ec707eb380eabd

142

py

Python

server/core/schema/__init__.py

orbit7ch/creativeday

67f3e91f3c2c9396c17131ad03e93a1707d26e2b

[ "MIT" ]

1

2020-12-25T03:41:59.000Z

server/core/schema/__init__.py

orbit7ch/creativeday

67f3e91f3c2c9396c17131ad03e93a1707d26e2b

[ "MIT" ]

7

2020-07-21T12:57:18.000Z

2022-02-26T19:16:06.000Z

server/core/schema/__init__.py

orbit7ch/creativeday

67f3e91f3c2c9396c17131ad03e93a1707d26e2b

[ "MIT" ]

null

import graphene from core.schema.mutations import StoreEvent class CoreMutation(graphene.ObjectType): store_event = StoreEvent.Field()

17.75

44

0.802817

16

142

7.0625

0.8125

0

0.126761

142

7

45

20.285714

0.91129

0

1

0

false

0

0.5

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

fcc4774ee8452eb0e3126e268e6e7baa1e7d7e43

205

py

Python

customer_service/app.py

hadihammurabi/microservice-python

be37127cc489adf87093749f9d64567f5b37cbb4

[ "MIT" ]

6

2020-04-18T04:42:54.000Z

2021-12-19T11:46:01.000Z

customer_service/app.py

hadihammurabi/microservice-python

be37127cc489adf87093749f9d64567f5b37cbb4

[ "MIT" ]

1

2019-10-24T03:07:29.000Z

customer_service/app.py

hadihammurabi/microservice-python

be37127cc489adf87093749f9d64567f5b37cbb4

[ "MIT" ]

4

2019-10-19T07:53:38.000Z

2021-11-30T05:11:42.000Z

from flask import Flask, jsonify app = Flask('customer-service') @app.route('/') def index(): return jsonify({ 'message': 'get all customers', }) if __name__ == '__main__': app.run(port=8002)

15.769231

35

0.64878

26

205

4.807692

0.807692

0

0.023669

0.17561

205

12

36

17.083333

0.715976

0

0.239024

0

1

0.111111

false

0

0.111111

0.333333

0

1

0

null

0

null

0

1

0

2

fcc6c86765fcf633c28691ba399ab19c5fd57779

461

py

Python

Addresses/checkboxes.py

bruceqqqqq/Tkinter-Course

5c4260a1b6aa45c5a7c406f940a57d778afce20b

[ "Apache-2.0" ]

null

Addresses/checkboxes.py

bruceqqqqq/Tkinter-Course

5c4260a1b6aa45c5a7c406f940a57d778afce20b

[ "Apache-2.0" ]

null

Addresses/checkboxes.py

bruceqqqqq/Tkinter-Course

5c4260a1b6aa45c5a7c406f940a57d778afce20b

[ "Apache-2.0" ]

null

from tkinter import * from PIL import ImageTk, Image root = Tk() root.title('Batman') root.iconbitmap('images/batman.ico') root.geometry('400x400') def show(): myLabel = Label(root, text=var.get()) myLabel.pack() var = StringVar() check = Checkbutton(root, text='Check this box', variable=var, onvalue='On', ...

20.043478

92

0.707158

62

461

5.258065

0.629032

0.07362

0

0.014888

0.125813

461

22

93

20.954545

0.794045

0

0.136659

0

1

0.0625

false

0

0.125

0

0.1875

0

null

0

null

0

1

0

fcc79406b9832714fea2809a9345d147398abb57

38,295

py

Python

model/interact/modeling.py

shanestorks/piglet

be8ab482503a94a61667bef66e8aac8584ee5a9c

[ "MIT" ]

48

2021-06-02T01:44:06.000Z

2022-01-19T05:10:54.000Z

model/interact/modeling.py

shanestorks/piglet

be8ab482503a94a61667bef66e8aac8584ee5a9c

[ "MIT" ]

2

2021-07-07T21:53:37.000Z

2022-01-11T20:46:31.000Z

model/interact/modeling.py

shanestorks/piglet

be8ab482503a94a61667bef66e8aac8584ee5a9c

[ "MIT" ]

7

2021-06-02T14:41:05.000Z

2022-03-11T21:37:01.000Z

import tensorflow as tf import sys sys.path.append('../../') from model.model_utils import bfloat16_getter, get_shape_list, gelu, dropout, layer_norm, sequence_xe_loss, \ construct_host_call, get_assignment_map_from_checkpoint, _sequence_xe_loss_noreduce, stack_jagged, \ get_ltr_attention_mask from data.thor_c...

48.352273

125

0.589215

4,526

38,295

4.623288

0.115113

0.035699

0.020741

0.013763

0.479092

0.386284

0.293763

0.238949

0.19871

0.179881

0

0.015195

0.31085

38,295

791

126

48.413401

0.777689

0.212665

0

0.248918

0

0.046717

0.009385

0

0.032468

1

0.030303

false

0

0.021645

0

0.08658

0

null

0

null

0

1

0

fcc845234e6840c99dfb161a50d8b03c190825b7

16,564

py

Python

tests/docker/test_docker.py

radiocosmology/alpenhorn

a91df899d864e04699b6f49c33f473383ee10cfc

[ "MIT" ]

3

2017-03-10T00:51:01.000Z

2018-04-25T16:50:13.000Z

tests/docker/test_docker.py

radiocosmology/alpenhorn

a91df899d864e04699b6f49c33f473383ee10cfc

[ "MIT" ]

106

2017-03-16T23:57:10.000Z

2021-10-05T23:44:48.000Z

tests/docker/test_docker.py

radiocosmology/alpenhorn

a91df899d864e04699b6f49c33f473383ee10cfc

[ "MIT" ]

1

2018-07-26T23:32:13.000Z

import os import re import time from os.path import dirname, exists, join import pytest import yaml from alpenhorn import acquisition as ac from alpenhorn import archive as ar from alpenhorn import storage as st if ("RUN_DOCKER_TESTS" not in os.environ) and ("PLAYGROUND" not in os.environ): pytestmark = pytest...

27.745394

90

0.604262

2,153

16,564

4.517882

0.194612

0.014804

0.021487

0.028786

0.287961

0.24725

0.228436

0.193276

0.179912

0.160481

0

0.010692

0.282903

16,564

596

91

27.791946

0.808217

0.218908

0

0.284457

0

0.008798

0.141078

0.018767

0

0.049853

1

0.061584

false

0.002933

0.043988

0

0.131965

0.032258

0

null

0

null

0

1

0

fcc9b8226e96c6e28f85197970bc3c0f4fa4224e

1,219

py

Python

Unit 5/t.py

yeshellohi/CodeHS-APCS-Java

f5dd2ecc6635b01d38d08f046bf893e36d20453e

[ "MIT" ]

2

2021-04-21T21:27:25.000Z

2021-04-21T21:27:27.000Z

Unit 5/t.py

hristojj/CodeHS-APCS-Java

35257c9ce09b68d93b20d7c89a2b4be98e6b0698

[ "MIT" ]

null

Unit 5/t.py

hristojj/CodeHS-APCS-Java

35257c9ce09b68d93b20d7c89a2b4be98e6b0698

[ "MIT" ]

null

a="5.2.6 Our First Array" b="5.2.7 Array Length" c="5.2.8 Last Element in Array" d="5.3.6 Print Array" e="5.3.7 Print Odd Array Indices" f="5.3.8 Find the Minimum Index" g="5.3.12 Find the Median" h="5.3.13 Top Student" i="5.4.6 Get First Element" j="5.4.9 Road Trip" nameL = {1:a, 2:b, 3:c, 4:d, ...

30.475

80

0.488925

185

1,219

2.945946

0.486486

0.110092

0.115596

0.044037

0.075229

0.051376

0

0.052247

0.21493

1,219

40

81

30.475

0.517241

0

0.057143

0

0.727966

0.216949

0

1

0

false

0

null

0

1

0

null

0

1

fcc9d5e6a05c79b1bf39adf1c4fcd4c98f9a6d85

95

py

Python

scorecards/apps.py

moshthepitt/probsc

9b8cab206bb1c41238e36bd77f5e0573df4d8e2d

[ "MIT" ]

null

scorecards/apps.py

moshthepitt/probsc

9b8cab206bb1c41238e36bd77f5e0573df4d8e2d

[ "MIT" ]

null

scorecards/apps.py

moshthepitt/probsc

9b8cab206bb1c41238e36bd77f5e0573df4d8e2d

[ "MIT" ]

null

from django.apps import AppConfig class ScorecardsConfig(AppConfig): name = 'scorecards'

15.833333

34

0.768421

10

95

7.3

0.9

0

0.157895

95

5

35

19

0.9125

0

0.105263

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

3

fccaf2f4d3d6f7c59cec4ee5700bfdb021bb5807

855

py

Python

user/permissions.py

arabindamahato/CanteenMS

3e7b592798f62fba2c12405ab0d9b4f2fe89a248

[ "MIT" ]

null

user/permissions.py

arabindamahato/CanteenMS

3e7b592798f62fba2c12405ab0d9b4f2fe89a248

[ "MIT" ]

6

2021-03-19T03:34:04.000Z

2021-09-22T19:03:24.000Z

user/permissions.py

arabindamahato/CanteenMS

3e7b592798f62fba2c12405ab0d9b4f2fe89a248

[ "MIT" ]

null

from rest_framework import permissions class IsLoggedInUserOrAdmin(permissions.BasePermission): def has_object_permission(self, request, view, obj): return obj == request.user or request.user.is_admin class IsAdminUser(permissions.BasePermission): def has_permission(self, request, view): r...

27.580645

59

0.736842

102

855

6.039216

0.362745

0.125

0.170455

0.202922

0.646104

0.350649

0.275974

0

0.17076

855

30

60

28.5

0.868829

0.253801

0

0.416667

0

1

0.333333

false

0

0.083333

0.333333

1

0

null

0

1

0

null

0

1

0

1

0

4

fccb331c2eb46090371d60f7632d229d2233551e

10,172

py

Python

SparseSC/optimizers/cd_line_search.py

cclauss/SparseSC

bd5c65f162a5431f92ed957df3385c803f2d3365

[ "MIT" ]

null

SparseSC/optimizers/cd_line_search.py

cclauss/SparseSC

bd5c65f162a5431f92ed957df3385c803f2d3365

[ "MIT" ]

null

SparseSC/optimizers/cd_line_search.py

cclauss/SparseSC

bd5c65f162a5431f92ed957df3385c803f2d3365

[ "MIT" ]

null

import numpy as np from scipy.optimize import line_search import locale locale.setlocale(locale.LC_ALL, '') class cd_res(object): def __init__(self, x, fun): self.x = x self.fun = fun print_stop_iteration = 1 def cdl_step(score, guess, jac, val = Non...

42.383333

159

0.567735

1,353

10,172

4.128603

0.230599

0.035804

0.048335

0.025063

0.383101

0.339241

0.281776

0.261726

0.253849

0

0.013481

0.336414

10,172

239

160

42.560669

0.814074

0.341329

0

0.307692

0

0.020979

0.119927

0

0.008368

0.034965

1

0.034965

false

0

0.020979

0.006993

0.125874

0.20979

0

null

0

null

0

1

0

fccf49b1abdfc57fe1c9a3e98dcfeba511b3cef0

2,495

py

Python

runOgre.py

songsiwei/Ogre_r_sv

b31dc64133f082ae395196ebedf41c8cc825ebfd

[ "BSD-3-Clause" ]

null

runOgre.py

songsiwei/Ogre_r_sv

b31dc64133f082ae395196ebedf41c8cc825ebfd

[ "BSD-3-Clause" ]

null

runOgre.py

songsiwei/Ogre_r_sv

b31dc64133f082ae395196ebedf41c8cc825ebfd

[ "BSD-3-Clause" ]

null

from ogre import generators import argparse from configparser import ConfigParser from ase.io import read, write import os from ogre.utils.utils import print_run_time #print('################') #teat_a = read('TETCEN.cif', format= 'cif') #print(teat_a) def parse_arguments(): parser = argparse.ArgumentParser() ...

38.384615

92

0.662926

299

2,495

5.240803

0.304348

0.058073

0.03829

0.053606

0.121251

0.089981

0.068922

0

0.002572

0.220842

2,495

64

93

38.984375

0.803498

0.034068

0

0.035714

0

0.114644

0.013808

0

1

0.035714

false

0

0.107143

0

0.160714

0.071429

0

null

0

null

0

1

0

fcd051cc9d371ceb9894a4f98003dc7676180be6

2,405

py

Python

src/display.py

Gravens/AirDimples

5531b0e43afb1349b121a54bb8ab1dd29bba0a84

[ "Apache-2.0" ]

null

src/display.py

Gravens/AirDimples

5531b0e43afb1349b121a54bb8ab1dd29bba0a84

[ "Apache-2.0" ]

2

2021-07-14T09:32:01.000Z

2021-07-19T16:25:15.000Z

src/display.py

Gravens/AirDimples

5531b0e43afb1349b121a54bb8ab1dd29bba0a84

[ "Apache-2.0" ]

1

2021-07-14T15:31:02.000Z

import time from threading import Thread import cv2 import keyboard import drawing import utils from config import config from gameplay import GameWithFriendOpenVINO from utils import log class DisplayThread(Thread): def __init__(self, frame_deque, joints_deque, fps=24, gui=None): super().__init__() ...

29.329268

118

0.600832

295

2,405

4.688136

0.325424

0.045553

0.040492

0.032538

0.093275

0.072307

0

0.009074

0.312682

2,405

81

119

29.691358

0.827586

0.012474

0

0.123077

0

0.026127

0

0.012346

0

1

0.092308

false

0

0.138462

0

0.261538

0

null

0

null

0

1

0

1

fcd4786f27f6a842e4576395961babc0a8399812

19

py

Python

data/external/repositories/136086/kaggle-master/hierarchical-text/tree_structure/constants.py

Keesiu/meta-kaggle

87de739aba2399fd31072ee81b391f9b7a63f540

[ "MIT" ]

null

data/external/repositories/136086/kaggle-master/hierarchical-text/tree_structure/constants.py

Keesiu/meta-kaggle

87de739aba2399fd31072ee81b391f9b7a63f540

[ "MIT" ]

null

data/external/repositories/136086/kaggle-master/hierarchical-text/tree_structure/constants.py

Keesiu/meta-kaggle

87de739aba2399fd31072ee81b391f9b7a63f540

[ "MIT" ]

1

2019-12-04T08:23:33.000Z

TRAIN_SIZE = 23654

9.5

18

0.789474

3

19

4.666667

1

0

0.3125

0.157895

19

1

19

0.5625

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

4

fcd6079c76e2339ed83df903d08fd0f21d9fd5ff

1,524

py

Python

lens_it.py

chemicoPy/lens_it

36005bc82f1fec32280e91ee6841ba3a17db97aa

[ "Apache-2.0" ]

null

lens_it.py

chemicoPy/lens_it

36005bc82f1fec32280e91ee6841ba3a17db97aa

[ "Apache-2.0" ]

1

2021-06-19T13:03:08.000Z

2021-06-24T20:36:58.000Z

lens_it.py

chemicoPy/lens_it

36005bc82f1fec32280e91ee6841ba3a17db97aa

[ "Apache-2.0" ]

1

2021-07-01T03:27:54.000Z

import numpy as np from numpy import * import pandas as pd from pandas import DataFrame, Series from numpy.random import randn import tensorflow as tf import matplotlib.pyplot as plt from PIL import Image import re from skimage.io import imread, imshow from termcolor import colored import keras import h5py ...

24.983607

91

0.736877

232

1,524

4.737069

0.452586

0.043676

0.061874

0.057325

0

0.020602

0.171916

1,524

60

92

25.4

0.850238

0

0.080988

0.024022

0

1

0

false

0

0.571429

0

0.571429

0.02381

0

null

0

null

0

1

0

1

fcd7544768bb3229ec5e9ae800a2ea3ee4d1fbda

603

py

Python

asyncmy/sa/__init__.py

dnp1/asyncmy

ae8a09e4d7d64d6d5cb448b7d7154e715071d414

[ "Apache-2.0" ]

1

2021-10-22T01:35:21.000Z

asyncmy/sa/__init__.py

dnp1/asyncmy

ae8a09e4d7d64d6d5cb448b7d7154e715071d414

[ "Apache-2.0" ]

null

asyncmy/sa/__init__.py

dnp1/asyncmy

ae8a09e4d7d64d6d5cb448b7d7154e715071d414

[ "Apache-2.0" ]

null

"""Optional support for sqlalchemy.sql dynamic query generation.""" from asyncmy.sa.connection import SAConnection from .engine import create_engine, Engine from .exc import (Error, ArgumentError, InvalidRequestError, NoSuchColumnError, ResourceClosedError) from . import result __all__ = ('create_e...

35.470588

71

0.749585

51

603

8.72549

0.470588

0.080899

0.249438

0.364045

0.546067

0.382022

0

0.154229

603

16

72

37.6875

0.872549

0.101161

0

0.205224

0

1

0

false

0

0.4

0

0.4

0

null

0

1

0

null

0

1

0

3

fcd93a3e56808b06287beaf9ab650f7bd54032be

13,058

py

Python

quantile_ml/utils_scoring.py

doordash/auto_ml

7e6873265c4c2c0a03946c3f68a954930cda3bb2

[ "MIT" ]

17

2016-09-23T03:29:23.000Z

2022-03-22T10:42:34.000Z

quantile_ml/utils_scoring.py

doordash/auto_ml

7e6873265c4c2c0a03946c3f68a954930cda3bb2

[ "MIT" ]

3

2016-09-21T23:12:51.000Z

2016-12-01T19:17:18.000Z

quantile_ml/utils_scoring.py

doordash/auto_ml

7e6873265c4c2c0a03946c3f68a954930cda3bb2

[ "MIT" ]

3

2017-05-30T17:30:30.000Z

2020-03-26T09:43:24.000Z

from collections import OrderedDict import math from quantile_ml import utils import pandas as pd from sklearn.ensemble import GradientBoostingRegressor, GradientBoostingClassifier from sklearn.metrics import mean_squared_error, make_scorer, brier_score_loss, accuracy_score, explained_variance_score, mean_absolute_err...

40.055215

362

0.652856

1,735

13,058

4.767723

0.197695

0.02986

0.014507

0.01632

0.342722

0.28663

0.230658

0.219536

0.189192

0

0.010702

0.24866

13,058

325

363

40.178462

0.832433

0.114566

0

0.297778

0

0.026667

0.192341

0.01083

0

1

0.048889

false

0.004444

0.031111

0.004444

0.133333

0.284444

0

null

0

null

0

1

0

fcda80063c8aaa6e840fe53a93438e5045c6f364

1,150

py

Python

setup.py

icon-project/loopchain_tools

3441f0ade654bbaedc382d94230f526b14baea1a

[ "Apache-2.0" ]

1

2020-08-15T16:15:03.000Z

setup.py

icon-project/loopchain_tools

3441f0ade654bbaedc382d94230f526b14baea1a

[ "Apache-2.0" ]

null

setup.py

icon-project/loopchain_tools

3441f0ade654bbaedc382d94230f526b14baea1a

[ "Apache-2.0" ]

2

2021-06-02T07:50:57.000Z

2021-12-01T23:35:10.000Z

import os from setuptools import setup, find_packages version = os.environ.get('VERSION') if version is None: with open(os.path.join('.', 'VERSION')) as version_file: version = version_file.read().strip() setup_options = { 'name': 'loopchain tools', 'description': 'CLI tools for loopchain', ...

31.944444

61

0.64087

123

1,150

5.878049

0.626016

0.078838

0.103734

0.071923

0

0.006572

0.206087

1,150

35

62

32.857143

0.785323

0

0.533913

0.025217

0

1

0

false

0

0.066667

0

0.066667

0

null

0

null

0

1

0

fcdb510122b20178c2555bc294630f212df04c12

1,315

py

Python

lecture_6/stack_4.py

Willianan/Interview_Book

bde1a975bcffdb1179f234cb3380f51d4c800b12

[ "Apache-2.0" ]

2

2019-11-12T09:07:56.000Z

2020-07-15T06:28:58.000Z

lecture_6/stack_4.py

Willianan/Interview_Book

bde1a975bcffdb1179f234cb3380f51d4c800b12

[ "Apache-2.0" ]

null

lecture_6/stack_4.py

Willianan/Interview_Book

bde1a975bcffdb1179f234cb3380f51d4c800b12

[ "Apache-2.0" ]

1

2020-05-04T13:46:38.000Z

# -*- coding:utf-8 -*- """ @Author：Charles Van @E-mail: williananjhon@hotmail.com @Time：2019-08-13 15:52 @Project:InterView_Book @Filename:stack_4.py @description: 使用堆栈解决汉诺塔问题 """ ''' 题目描述：有3根杆子，其中一根上有n快铁饼，铁饼由小到大依次从上往下排列，要求把杆1上的铁饼挪到杆2上，杆3可以作为铁饼转移的中转站。当转移铁饼时，必须保证小铁饼只能放到大铁饼的上头，请给出移动步骤。 ''' class HanoiMove: ...

23.909091

92

0.698859

169

1,315

5.35503

0.461538

0.086188

0.044199

0

0.028131

0.161977

1,315

55

93

23.909091

0.793103

0.13308

0

0.129032

0

0.052889

0

1

0.096774

false

0

0.193548

0.16129

0

null

0

null

0

1

0

fcdc751153a77f14d59683f2518a461ca9f696b9

34,911

py

Python

src/genopandas/core/matrix.py

jrderuiter/genopandas

8d4bd46cfcd3a9c27c1f561ed25b3e5c3ff4b8a5

[ "MIT" ]

null

src/genopandas/core/matrix.py

jrderuiter/genopandas

8d4bd46cfcd3a9c27c1f561ed25b3e5c3ff4b8a5

[ "MIT" ]

null

src/genopandas/core/matrix.py

jrderuiter/genopandas

8d4bd46cfcd3a9c27c1f561ed25b3e5c3ff4b8a5

[ "MIT" ]

null

import functools import itertools import operator import re import numpy as np import pandas as pd from pandas.api.types import is_numeric_dtype import toolz from genopandas import plotting as gplot from genopandas.util.pandas_ import DfWrapper from .frame import GenomicDataFrame, GenomicSlice RANGED_REGEX = r'(?P<...

34.462981

80

0.595085

4,019

34,911

4.950485

0.132122

0.057801

0.025633

0.018999

0.379674

0.312123

0.261962

0.215923

0.209439

0.182097

0

0.004052

0.314228

34,911

1,012

81

34.497036

0.826991

0.15826

0

0.345257

0

0.0472

0.002909

0

0.001976

0

1

0.07154

false

0.001555

0.032659

0.00311

0.178849

0

null

0

null

0

1

0

fcdcb04e7d7ccb6b7e169672c64a338e2a347415

936

py

Python

GUI/Generic/GScrollableBases.py

gcewing/PyGUI

58c6c38ccb8e66acdf98dea6b24bef1d9a03147c

[ "MIT" ]

9

2019-07-15T19:03:27.000Z

2021-11-24T19:50:02.000Z

GUI/Generic/GScrollableBases.py

mnabeelp/PyGUI

58c6c38ccb8e66acdf98dea6b24bef1d9a03147c

[ "MIT" ]

3

2019-09-11T13:22:10.000Z

2020-08-19T20:13:00.000Z

GUI/Generic/GScrollableBases.py

mnabeelp/PyGUI

58c6c38ccb8e66acdf98dea6b24bef1d9a03147c

[ "MIT" ]

4

2020-02-23T16:50:06.000Z

2022-02-10T07:15:35.000Z

#------------------------------------------------------------------------------- # # Python GUI - Scrollable objects mixin - Generic # #------------------------------------------------------------------------------- from GUI.Properties import overridable_property class ScrollableBase(object): """Mixin for component...

28.363636

80

0.600427

95

936

5.852632

0.505263

0.136691

0.064748

0

0.138889

936

32

81

29.25

0.689826

0.290598

0

0.274119

0

1

0.111111

false

0

0.055556

0

0.444444

0

null

0

null

0

1

0

fcdd8fbbacd99d5950045aa9617eefdf52b571c4

345

py

Python

calibration_tool/trajectory/trajectory.py

liwen-deepmotion/map_based_lidar_camera_calibration_tool

d260380729b05b153c2efd1e76d4ae077c48c4b1

[ "MIT" ]

26

2021-04-24T08:07:20.000Z

2022-03-13T15:21:02.000Z

calibration_tool/trajectory/trajectory.py

Grandzxw/map_based_lidar_camera_calibration_tool

d260380729b05b153c2efd1e76d4ae077c48c4b1

[ "MIT" ]

null

calibration_tool/trajectory/trajectory.py

Grandzxw/map_based_lidar_camera_calibration_tool

d260380729b05b153c2efd1e76d4ae077c48c4b1

[ "MIT" ]

9

2021-04-19T23:32:21.000Z

2022-03-03T06:31:19.000Z

from typing import List from trajectory.trajectory_node import TrajectoryNode class Trajectory(object): def __init__(self): self._trajectory_nodes = [] # type: List[TrajectoryNode] def trajectory_nodes(self) -> List[TrajectoryNode]: return self._trajectory_nodes def load(self, file_...

19.166667

65

0.704348

39

345

5.948718

0.512821

0.193966

0.163793

0

0.214493

345

17

66

20.294118

0.856089

0.075362

0

1

0.333333

false

0.111111

0.222222

0.111111

0.777778

0

null

0

null

0

1

0

1

0

1

0

4

fcdf6498cef441e9307973c5719c094eefe1d7d2

5,047

py

Python

lap/create_lap_dataset.py

saadyousuf45/age-gender-estimation

50ff4bce716e8eba717c53009c2e0fa6feaae03c

[ "MIT" ]

1,437

2017-04-10T04:55:35.000Z

2022-03-31T04:49:26.000Z

lap/create_lap_dataset.py

saadyousuf45/age-gender-estimation

50ff4bce716e8eba717c53009c2e0fa6feaae03c

[ "MIT" ]

130

2017-05-19T02:39:38.000Z

2022-03-21T14:10:35.000Z

lap/create_lap_dataset.py

saadyousuf45/age-gender-estimation

50ff4bce716e8eba717c53009c2e0fa6feaae03c

[ "MIT" ]

542

2017-05-10T10:18:15.000Z

2022-03-21T05:52:35.000Z

import argparse import better_exceptions import sys import time from pathlib import Path import zipfile import bz2 import urllib.request import dlib import cv2 zip_names = ["train_1.zip", "train_2.zip", "train_gt.zip", "valid.zip", "valid_gt.zip"] urls = ["http://***/train_1.zip", "http://***/train_2.zip", ...

36.572464

112

0.650684

657

5,047

4.741248

0.277017

0.045907

0.036597

0.02825

0.19069

0.123274

0.050722

0

0.016096

0.22449

5,047

137

113

36.839416

0.779765

0.01704

0

0.019048

0

0.009524

0.153722

0.005649

0

1

0.057143

false

0.038095

0.095238

0

0.171429

0.047619

0

null

0

null

0

1

0

fce0375babdffaec108464100e4d42cc1e0f5f14

364

py

Python

FastSimulation/CTPPSSimHitProducer/python/CTPPSSimHitProducer_cfi.py

nistefan/cmssw

ea13af97f7f2117a4f590a5e654e06ecd9825a5b

[ "Apache-2.0" ]

null

FastSimulation/CTPPSSimHitProducer/python/CTPPSSimHitProducer_cfi.py

nistefan/cmssw

ea13af97f7f2117a4f590a5e654e06ecd9825a5b

[ "Apache-2.0" ]

null

FastSimulation/CTPPSSimHitProducer/python/CTPPSSimHitProducer_cfi.py

nistefan/cmssw

ea13af97f7f2117a4f590a5e654e06ecd9825a5b

[ "Apache-2.0" ]

null

import FWCore.ParameterSet.Config as cms CTPPSSimHits = cms.EDProducer('CTPPSSimHitProducer', MCEvent = cms.untracked.InputTag("LHCTransport"), Z_Tracker1 = cms.double(203.827),# first tracker z position in m Z_Tracker2 = cms.double(212.550),# second tracker z position in m Z_Timing = cms.double(215...

33.090909

71

0.730769

51

364

5.156863

0.607843

0.102662

0.125475

0.136882

0.152091

0

0.066007

0.167582

364

10

72

36.4

0.80198

0.258242

0

0.116541

0

1

0

false

0

0.142857

0

0.142857

0

null

0

null

0

1

0

fce0601a6ff2cda3356985a40d589f3821be9bbb

1,222

py

Python

tests/test_visitor.py

christophevg/schema-tools

50e7650a4d13662f231234ec12b3c0a8af759c09

[ "MIT" ]

1

2020-11-15T20:57:20.000Z

tests/test_visitor.py

christophevg/schema-tools

50e7650a4d13662f231234ec12b3c0a8af759c09

[ "MIT" ]

null

tests/test_visitor.py

christophevg/schema-tools

50e7650a4d13662f231234ec12b3c0a8af759c09

[ "MIT" ]

null

from schema_tools import yaml from schema_tools.schema import build from schema_tools.schema.json import IntegerSchema, StringSchema, TupleItem def test_allow_for_empty_properties(): # empty properties shouldn't fail building object schema from AST ast = yaml.loads(""" something: type: objec...

30.55

75

0.724223

154

1,222

5.649351

0.253247

0.137931

0.16092

0.178161

0.632184

0.554023

0.468966

0

0.005958

0.175941

1,222

39

76

31.333333

0.857994

0.156301

0

0.484848

0

0.164557

0

0.242424

1

0.090909

false

0

0.090909

0

0.181818

0

null

0

1

0

null

0

1

fce08866ab83bbd7410f4a2c43e3cbea905390f5

209

py

Python

cmake/CMakeBuild/bin/cmake_docutil.py

kevleyski/VVCSoftware_VTM

693b6b263a6e643189a8977ff2f2ef2d2c0f5d25

[ "BSD-3-Clause" ]

3

2021-05-29T00:05:42.000Z

2022-03-17T00:11:29.000Z

cmake/CMakeBuild/bin/cmake_docutil.py

kevleyski/VVCSoftware_VTM

693b6b263a6e643189a8977ff2f2ef2d2c0f5d25

[ "BSD-3-Clause" ]

7

2021-09-18T14:48:01.000Z

2021-09-21T13:16:13.000Z

cmake/CMakeBuild/bin/cmake_docutil.py

kevleyski/VVCSoftware_VTM

693b6b263a6e643189a8977ff2f2ef2d2c0f5d25

[ "BSD-3-Clause" ]

5

2019-10-07T17:31:42.000Z

2022-02-19T14:07:29.000Z

#!/usr/bin/python # # cmake_docutil.py # import pyhhi.build.app.cmkdocapp import pyhhi.build.common.util app = pyhhi.build.app.cmkdocapp.CMakeDocUtilApp() pyhhi.build.common.util.exec_main_default_try(app)

17.416667

50

0.789474

31

209

5.193548

0.580645

0.248447

0.198758

0.273292

0

0.076555

209

11

51

19

0.834197

0.157895

0

1

0

false

0

0.5

0

0.5

0

null

1

0

null

0

1

0

4

fce1e97e1f94b6f6d602eef5a26d80a7fb984cce

1,068

py

Python

library/old_tools_methods/tools.py

kensoi/testcanarybot

1570b6dab1ae6902f6179d4d1fed0bb83229ad08

[ "Apache-2.0" ]

null

library/old_tools_methods/tools.py

kensoi/testcanarybot

1570b6dab1ae6902f6179d4d1fed0bb83229ad08

[ "Apache-2.0" ]

1

2021-02-03T12:48:23.000Z

library/old_tools_methods/tools.py

kensoi/testcanarybot

1570b6dab1ae6902f6179d4d1fed0bb83229ad08

[ "Apache-2.0" ]

1

2021-11-03T12:36:51.000Z

from datetime import datetime class mentions_self: nom = 'я'; gen = ['меня', 'себя']; dat = ['мне', 'себе'] acc = ['меня', 'себя']; ins = ['мной', 'собой']; abl = ['мне','себе'] class mentions_unknown: all = 'всех' him = 'его'; her = 'её'; it = 'это' they = 'их'; them = 'их'; us = 'нас' nam...

28.105263

99

0.562734

131

1,068

4.564886

0.526718

0.058528

0.075251

0.090301

0.147157

0.107023

0

0.012285

0.237828

1,068

37

100

28.864865

0.722359

0

0.086957

0

0.043478

0.218165

0.050562

0

1

0.173913

false

0

0.043478

0.130435

1.130435

0

null

0

null

0

1

0

2

fce41f5398739ee51c0146bd32f70e90c45cd487

10,999

py

Python

app/api/v1/resources/deregdevice.py

a-wakeel/Device-Registration-Subsystem

dd9fa387e2087a6ccea9676303debe640bd99422

[ "Unlicense" ]

6

2018-11-07T12:41:30.000Z

2020-04-12T18:07:03.000Z

app/api/v1/resources/deregdevice.py

a-wakeel/Device-Registration-Subsystem

dd9fa387e2087a6ccea9676303debe640bd99422

[ "Unlicense" ]

1

2020-10-20T12:33:18.000Z

app/api/v1/resources/deregdevice.py

a-wakeel/Device-Registration-Subsystem

dd9fa387e2087a6ccea9676303debe640bd99422

[ "Unlicense" ]

10

2018-11-12T06:15:19.000Z

2021-11-18T05:45:12.000Z

""" DRS De-Registration device resource package. Copyright (c) 2018-2020 Qualcomm Technologies, Inc. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted (subject to the limitations in the disclaimer below) provided that the following conditions are met: ...

62.851429

844

0.638967

1,268

10,999

5.363565

0.227918

0.020585

0.026761

0.03823

0.58609

0.553301

0.536833

0

0.002033

0.284389

10,999

174

845

63.212644

0.862025

0.224566

0

0.691781

0

0.097776

0.007413

0

1

0.020548

false

0

0.09589

0

0.212329

0

null

0

null

0

1

0

fce42dcc84df1e368c75a961a2e92119ffaf9405

3,193

py

Python

fixedfield-to-csv.py

curtisalexander/fixedfield-to-csv

57ef87ed698321bb700ed2a2f4dafe07d6a7213d

[ "MIT" ]

null

fixedfield-to-csv.py

curtisalexander/fixedfield-to-csv

57ef87ed698321bb700ed2a2f4dafe07d6a7213d

[ "MIT" ]

null

fixedfield-to-csv.py

curtisalexander/fixedfield-to-csv

57ef87ed698321bb700ed2a2f4dafe07d6a7213d

[ "MIT" ]

null

#!/usr/bin/env python import csv from itertools import compress from struct import Struct def check_ctl(incsv): """Check the Length variable within the control file. Length = Start - End + 1 """ with open(incsv, 'rU') as f: csv_reader = csv.DictReader(f) for row in csv_reader: ...

37.127907

108

0.606953

448

3,193

4.167411

0.332589

0.06481

0.048206

0.067488

0.23353

0.203535

0.151044

0.085699

0.043921

0

0.016927

0.296899

3,193

85

109

37.564706

0.814699

0.347635

0

0.095238

0

0.083881

0.060637

0

0.02381

1

0.142857

false

0

0.119048

0.047619

0.357143

0

null

0

null

0

1

0

fce46c304276b9b24990e4e0366dffce626e8138

1,515

py

Python

bumblebee/core/respadapter.py

nosoyyo/bumblebee

60452b03b2cd255ae4582a830b463fe7183e209e

[ "Apache-2.0" ]

null

bumblebee/core/respadapter.py

nosoyyo/bumblebee

60452b03b2cd255ae4582a830b463fe7183e209e

[ "Apache-2.0" ]

null

bumblebee/core/respadapter.py

nosoyyo/bumblebee

60452b03b2cd255ae4582a830b463fe7183e209e

[ "Apache-2.0" ]

null

__doc__ = 'for adapting 3 main types of resp: requests, baidubce & bumblebee' import json from requests import Response as RequestsResponse from utils.bce import BceResponse from utils import SelfAssemblingClass class GeneralResp(): ''' 0. if everything is ok, directly access this for json 1. if somethi...

34.431818

78

0.590759

158

1,515

5.512658

0.506329

0.064294

0.041332

0.061998

0

0.002962

0.331353

1,515

43

79

35.232558

0.856861

0.128713

0

0.158805

0

1

0.071429

false

0.035714

0.142857

0.035714

0.428571

0.178571

0

null

0

null

0

1

0

fce6cd181284a407deac3e65af5c7526a1141077

698

py

Python

scripts/hotandcold.py

jkutner/minecraft-python-server

9c09ffb6fb0001d89100d7f5b55c5a682a7ff81f

[ "MIT" ]

null

scripts/hotandcold.py

jkutner/minecraft-python-server

9c09ffb6fb0001d89100d7f5b55c5a682a7ff81f

[ "MIT" ]

null

scripts/hotandcold.py

jkutner/minecraft-python-server

9c09ffb6fb0001d89100d7f5b55c5a682a7ff81f

[ "MIT" ]

1

2021-01-02T16:16:56.000Z

from mcpi.minecraft import Minecraft import math import time import random import pycraft mc = pycraft.new_minecraft() destX = random.randint(-127, 127) destZ = random.randint(-127, 127) destY = mc.getHeight(destX, destZ) block = 57 mc.setBlock(destX, destY, destZ, block) mc.postToChat("Block set") while True: pos ...

21.8125

66

0.696275

100

698

4.85

0.48

0.173196

0.065979

0.078351

0

0.046075

0.160458

698

32

67

21.8125

0.78157

0

0.067239

0

1

0

false

0

0.178571

0

0.178571

0

null

0

null

0

1

0

fce82e902ad945e4eaa9e4c10493543217fafc73

2,368

py

Python

fuzzinator/tracker/bugzilla.py

elecro/fuzzinator

2ed30127c364d50af960ad9f5cecbbae5cde2381

[ "BSD-3-Clause" ]

null

fuzzinator/tracker/bugzilla.py

elecro/fuzzinator

2ed30127c364d50af960ad9f5cecbbae5cde2381

[ "BSD-3-Clause" ]

null

fuzzinator/tracker/bugzilla.py

elecro/fuzzinator

2ed30127c364d50af960ad9f5cecbbae5cde2381

[ "BSD-3-Clause" ]

null

# Copyright (c) 2016-2018 Renata Hodovan, Akos Kiss. # # Licensed under the BSD 3-Clause License # <LICENSE.rst or https://opensource.org/licenses/BSD-3-Clause>. # This file may not be copied, modified, or distributed except # according to those terms. import os from bugzilla import * from .base import BaseTracker ...

36.430769

106

0.559122

249

2,368

5.192771

0.465863

0.083527

0.015468

0.021655

0.035576

0

0.006456

0.345861

2,368

64

107

37

0.828276

0.127534

0

0.047133

0

1

0.162791

false

0.046512

0.069767

0.395349

0

null

0

null

0

1

0

fceb36dd10a7c2e8d6eea587eff7fe47021932ef

3,741

py

Python

HW2/gradebook_202101-14765_HW20220Assignment_2021-03-11-18-59-42/Libraries/HT_natural_convection.py

CarlGriffinsteed/UVM-ME144-Heat-Transfer

9c477449d6ba5d6a9ee7c57f1c0ed4aab0ce4cca

[ "CC-BY-3.0" ]

7

2017-06-02T20:31:22.000Z

2021-04-05T13:52:33.000Z

HW2/gradebook_202101-14765_HW20220Assignment_2021-03-11-18-59-42/Libraries/HT_natural_convection.py

CarlGriffinsteed/UVM-ME144-Heat-Transfer

9c477449d6ba5d6a9ee7c57f1c0ed4aab0ce4cca

[ "CC-BY-3.0" ]

null

HW2/gradebook_202101-14765_HW20220Assignment_2021-03-11-18-59-42/Libraries/HT_natural_convection.py

CarlGriffinsteed/UVM-ME144-Heat-Transfer

9c477449d6ba5d6a9ee7c57f1c0ed4aab0ce4cca

[ "CC-BY-3.0" ]

9

2019-01-24T17:43:41.000Z

2021-07-25T18:08:34.000Z

""" Object name: HorizontalCylinder Functions: Gr(g,beta,DT,D,nu) gives the Grashoff number based on: gravity g, thermal expansion coefficient beta, Temperature difference DT, length scale D, viscosity nu Ra(g,beta,DT,D,nu,alpha) gives the Rayleigh number where alpha is the thermal ...

35.971154

102

0.493718

506

3,741

3.626482

0.254941

0.039237

0.091553

0.035967

0.531335

0.518256

0.474659

0.431608

0

0.071336

0.377974

3,741

103

36.320388

0.717232

0.260893

0

0.287671

0

0.129008

0

1

0.054795

false

0

0.041096

0.027397

0.150685

0.123288

0

null

0

null

0

1

0

fced7903bc90aa448acbe8f9d949ea135dc54660

3,765

py

Python

bdd/contact_steps.py

Nadezhda-Sokolova/Python_training_from_software-testing.ru

5ce65cee1d538dc5d0b25beba67547b32e612a10

[ "Apache-2.0" ]

null

bdd/contact_steps.py

Nadezhda-Sokolova/Python_training_from_software-testing.ru

5ce65cee1d538dc5d0b25beba67547b32e612a10

[ "Apache-2.0" ]

null

bdd/contact_steps.py

Nadezhda-Sokolova/Python_training_from_software-testing.ru

5ce65cee1d538dc5d0b25beba67547b32e612a10

[ "Apache-2.0" ]

null

from pytest_bdd import given, when, then from model.contact import Contact import random @given('a contact list') def contact_list(db): return db.get_contacts_list() @given('a contact with <first_name>, <last_name>, <address>, <home_phone>, <work_phone>, <mobile_phone>, <fax>, <mail_1>, <mail_2> and <mail_3>') de...

46.481481

160

0.705976

558

3,765

4.448029

0.168459

0.079774

0.048348

0.061241

0.560435

0.500806

0.420629

0.39726

0.383562

0

0.015324

0.185392

3,765

80

161

47.0625

0.793935

0

0.306452

0

0.016129

0.176674

0

0.096774

1

0.16129

false

0

0.048387

0.274194

0

null

0

null

0

1

0

fcedb493e14ec02820c3a65afad5786b78965f96

2,968

py

Python

collections/comprehensions.py

rolandovillca/python_introduction_basic

d1333a832a9e2b103e128a9dfc0c0da0952c267f

[ "MIT" ]

null

collections/comprehensions.py

rolandovillca/python_introduction_basic

d1333a832a9e2b103e128a9dfc0c0da0952c267f

[ "MIT" ]

null

collections/comprehensions.py

rolandovillca/python_introduction_basic

d1333a832a9e2b103e128a9dfc0c0da0952c267f

[ "MIT" ]

null

''' The comprehentions really make it easy to add those loops and conditionals on the existing comprehentions. ''' nums = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] # EXAMPLE 1: Print Lists in a simple way: # ============================================================================== my_list1 = [n for n in nums] my_list2 = [...

27.738318

80

0.487871

394

2,968

3.624365

0.312183

0.044118

0.017507

0.02451

0.15056

0.135154

0.103641

0.047619

0

0.027534

0.15566

2,968

107

81

27.738318

0.542298

0.478774

0

0.285714

0

0.082386

0

null

0

null

0.510204

0

null

0

null

0

1

0

1

0

2

fceeb5c97dcacc7efd221c426aaa56e4566fd2c1

3,050

py

Python

tests/validate_mcts.py

hdelecki/AdaptiveStressTestingToolbox

184d7d7f1b4acb65eecb749e3c3a78cbcfc3c4ed

[ "MIT" ]

29

2019-01-09T23:56:35.000Z

2022-03-18T03:41:10.000Z

tests/validate_mcts.py

hdelecki/AdaptiveStressTestingToolbox

184d7d7f1b4acb65eecb749e3c3a78cbcfc3c4ed

[ "MIT" ]

39

2019-01-10T00:32:26.000Z

2022-03-12T00:29:05.000Z

tests/validate_mcts.py

hdelecki/AdaptiveStressTestingToolbox

184d7d7f1b4acb65eecb749e3c3a78cbcfc3c4ed

[ "MIT" ]

11

2019-01-10T08:11:47.000Z

2021-12-28T15:56:02.000Z

from examples.AV.example_runner_mcts_av import runner as mcts_runner def validate_mcts(): # Overall settings max_path_length = 50 s_0 = [0.0, -4.0, 1.0, 11.17, -35.0] base_log_dir = './data' # experiment settings run_experiment_args = {'snapshot_mode': 'last', 'snaps...

31.770833

102

0.475738

325

3,050

4.049231

0.295385

0.041033

0.079027

0.036474

0.266717

0.209726

0.148936

0.103343

0.045593

0

0.034659

0.422951

3,050

95

103

32.105263

0.713068

0.047541

0

0.085714

0

0.162349

0.009326

0

1

0.014286

false

0

0.014286

0

0.042857

0

null

0

null

0

1

0

fcef799a7e5f6146dab0e6c5b4b7d8fd2a2c8798

10,058

py

Python

steps/optimize.py

bartubisgin/z-quantum-core

b61aef12cc86f0a8234229b9b26b21cde950d6f1

[ "Apache-2.0" ]

null

steps/optimize.py

bartubisgin/z-quantum-core

b61aef12cc86f0a8234229b9b26b21cde950d6f1

[ "Apache-2.0" ]

null

steps/optimize.py

bartubisgin/z-quantum-core

b61aef12cc86f0a8234229b9b26b21cde950d6f1

[ "Apache-2.0" ]

1

2022-03-19T02:23:53.000Z

import json import numpy as np from openfermion import SymbolicOperator from typing import Union, Dict, Optional, List from zquantum.core.circuit import ( Circuit, load_circuit, load_circuit_template_params, save_circuit_template_params, load_parameter_grid, ) from zquantum.core.cost_function impo...

43.921397

116

0.741897

1,156

10,058

6.179066

0.123702

0.049279

0.041159

0.00924

0.840403

0.828083

0.818424

0.808344

0.792384

0

0.00025

0.205906

10,058

228

117

44.114035

0.894078

0.278485

0

0.705128

0

0.03224

0.014079

0

1

0.012821

false

0

0.070513

0

0.083333

0

null

0

1

0

1

0

null

0

7

fcf06f020add9f824d183bcba4b082d5c4bee1d3

2,200

py

Python

experiments/detectability_one_net/train_model.py

cassianobecker/msbm

6ce22f93f63071dc3ca722d499db376ea678eb23

[ "MIT" ]

null

experiments/detectability_one_net/train_model.py

cassianobecker/msbm

6ce22f93f63071dc3ca722d499db376ea678eb23

[ "MIT" ]

null

experiments/detectability_one_net/train_model.py

cassianobecker/msbm

6ce22f93f63071dc3ca722d499db376ea678eb23

[ "MIT" ]

null

# Experiment that generates several sets of networks of varying CH-divergence types # then trains an msbm of a single type in a "consensus" type of way. Then we report the # average rand_index and average entropy of the z variables, which are indicators of how well # the algorithm is learning the true model. import o...

34.920635

97

0.617273

313

2,200

4.14377

0.4377

0.037008

0.009252

0.018504

0.026214

0

0.014076

0.257273

2,200

63

98

34.920635

0.779682

0.193636

0

1

0

0.096263

0

1

0.022727

false

0

0.136364

0

0.159091

0.022727

0

null

0

1

0

null

0

1

fcf0f7d0ced8ceb827bbd618ebf3aa2adb347d1b

833

py

Python

goodbuyDatabase/tests/test_urls.py

code-goodbuy/Goodbuy

d23363a46988f65f121a6edb75609fdddaa95cde

[ "Unlicense" ]

2

2019-03-20T20:30:16.000Z

2019-04-10T19:54:32.000Z

goodbuyDatabase/tests/test_urls.py

code-goodbuy/Goodbuy

d23363a46988f65f121a6edb75609fdddaa95cde

[ "Unlicense" ]

30

2019-02-22T17:24:13.000Z

2019-05-15T09:29:51.000Z

goodbuyDatabase/tests/test_urls.py

code-goodbuy/Goodbuy

d23363a46988f65f121a6edb75609fdddaa95cde

[ "Unlicense" ]

1

2020-04-08T07:53:09.000Z

from django.test import TestCase from django.urls import reverse, resolve from goodbuyDatabase.endpoints import is_in_own_database from goodbuyDatabase.views import product_list, show_list_of_codes class TestUrls(TestCase): # Resolves checks if the url is called, the assoziated function is found def test...

36.217391

83

0.755102

111

833

5.387387

0.333333

0.026756

0.046823

0.100334

0.202341

0.153846

0

0.037143

0.159664

833

22

84

37.863636

0.817143

0.084034

0

0.160315

0.12615

0

0.214286

1

0.214286

false

0

0.285714

0

0.571429

0

null

0

null

0

1

0

1

0

2

fcf41308fbf0ea2ddf14fd935e69cbfa21da77dc

1,274

py

Python

SocialDistanceDetector/loggingModule.py

Rankush888/Social-Distancing-Detector

e4a73ad84c63a6152fefdf9606ccf8850be7d629

[ "MIT" ]

null

SocialDistanceDetector/loggingModule.py

Rankush888/Social-Distancing-Detector

e4a73ad84c63a6152fefdf9606ccf8850be7d629

[ "MIT" ]

null

SocialDistanceDetector/loggingModule.py

Rankush888/Social-Distancing-Detector

e4a73ad84c63a6152fefdf9606ccf8850be7d629

[ "MIT" ]

null

try: import logging import os except BaseException: print('Exception got in importing the module.') class makeLog: def __init__(self): current_dir = os.getcwd() if 'log_files' in os.listdir(current_dir): path = os.path.join(current_dir, 'log_files\\') ...

28.954545

66

0.530612

134

1,274

4.932836

0.358209

0.1059

0.151286

0.444781

0.360061

0.263238

0

0.358713

1,274

43

67

29.627907

0.809058

0

0.363636

0

0.112916

0

1

0.181818

false

0

0.090909

0

0.30303

0.030303

0

null

0

null

0

1

0

fcf437071f3aca1716b10d46267ae94434da6f1c

372

py

Python

sparweltbitool/client_redis.py

checkout-charlie/bitool

e41ce66ab2b88992dbfc08d79372bf3965724f3e

[ "MIT" ]

null

sparweltbitool/client_redis.py

checkout-charlie/bitool

e41ce66ab2b88992dbfc08d79372bf3965724f3e

[ "MIT" ]

null

sparweltbitool/client_redis.py

checkout-charlie/bitool

e41ce66ab2b88992dbfc08d79372bf3965724f3e

[ "MIT" ]

1

2015-07-22T16:53:42.000Z

import redis from sparweltbitool.config import config from sparweltbitool.singleton import Singleton @Singleton class ClientRedis(object): """ Operations with Redis.""" def __init__(self): self.r = redis.StrictRedis( host=config.get('redis', 'host'), port=config.get('redis',...

21.882353

46

0.637097

41

372

5.682927

0.487805

0.11588

0.180258

0

0.228495

372

16

47

23.25

0.811847

0.05914

0

0.072886

0

1

0.1

false

0

0.3

0

0.5

0

null

0

1

0

null

0

1

fcf50282811ffc8a770fa38ebbb80b3ac990778e

6,317

py

Python

analytics/analyser/tests/unittest_analyser.py

sadikovi/Pulsar

3267426cf5bd676a3c4c20cbee88a80b89e65b0f

[ "Apache-2.0" ]

null

analytics/analyser/tests/unittest_analyser.py

sadikovi/Pulsar

3267426cf5bd676a3c4c20cbee88a80b89e65b0f

[ "Apache-2.0" ]

29

2015-02-23T07:59:13.000Z

2015-04-05T09:49:53.000Z

analytics/analyser/tests/unittest_analyser.py

sadikovi/Pulsar

3267426cf5bd676a3c4c20cbee88a80b89e65b0f

[ "Apache-2.0" ]

null

#!/usr/bin/env python ''' Copyright 2015 Ivan Sadikov Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to...

39.72956

107

0.611999

692

6,317

5.524566

0.304913

0.020926

0.015694

0.022234

0.33717

0.324614

0.303688

0.271515

0

0.021555

0.25091

6,317

158

108

39.981013

0.786348

0.070128

0

0.317757

0

0.089002

0

0.11215

0

null

0

0.102804

null

0.028037

0

null

0

null

0

1

0

1

fcf6780f79287563663f060074514f87c285483f

1,618

py

Python

modelzoo/SOK/DLRM/data/bin2bin.py

aalbersk/DeepRec

f673a950780959b44dcda99398880a1d883ab338

[ "Apache-2.0" ]

292

2021-12-24T03:24:33.000Z

2022-03-31T15:41:05.000Z

modelzoo/SOK/DLRM/data/bin2bin.py

aalbersk/DeepRec

f673a950780959b44dcda99398880a1d883ab338

[ "Apache-2.0" ]

54

2021-12-24T06:40:09.000Z

2022-03-30T07:57:24.000Z

modelzoo/SOK/DLRM/data/bin2bin.py

aalbersk/DeepRec

f673a950780959b44dcda99398880a1d883ab338

[ "Apache-2.0" ]

75

2021-12-24T04:48:21.000Z

2022-03-29T10:13:39.000Z

import os import argparse import time if __name__ == '__main__': parser = argparse.ArgumentParser() parser.add_argument('input', type=str) parser.add_argument('output', type=str) args = parser.parse_args() os.makedirs(args.output) size = os.path.getsize(args.input) assert(size % 160 == 0...

29.962963

120

0.592089

231

1,618

3.939394

0.285714

0.026374

0.023077

0.036264

0.145055

0.082418

0

0.049622

0.265142

1,618

54

121

29.962963

0.715728

0

0.02439

0.083385

0

0.02439

1

0

false

0

0.073171

0

0.073171

0.02439

0

null

0

null

0

1

0

fcf7b3bbe71b81f791bb6c3c67628d01ea766d4a

836

py

Python

aes_classifier/helpers/database_importer.py

tinenbruno/aes_classifier

31d358c4e34a056cf67a5e602ad945011283a6ed

[ "MIT" ]

null

aes_classifier/helpers/database_importer.py

tinenbruno/aes_classifier

31d358c4e34a056cf67a5e602ad945011283a6ed

[ "MIT" ]

null

aes_classifier/helpers/database_importer.py

tinenbruno/aes_classifier

31d358c4e34a056cf67a5e602ad945011283a6ed

[ "MIT" ]

null

from ml_buff.models.input_data import InputData from ml_buff.database_helper import create_tables, drop_tables from ml_buff.models.base_model import database DATABASE = { 'drivername': 'postgresql', 'host': 'localhost', 'port': '5432', 'username': 'postgres', 'password': 'postgr...

26.125

73

0.671053

106

836

5.084906

0.537736

0.092764

0.055659

0.059369

0

0.019006

0.181818

836

31

74

26.967742

0.769006

0

0.206938

0.029904

0

1

0

false

0.043478

0.130435

0

0.130435

0.043478

0

null

0

null

0

1

0

fcf7d278277033217c65b945fa153e84b5082b8a

9,050

py

Python

title_screen.py

matthew-sirman/mongoose-game

02751a85c3849ddb9da48414e165363a6d8a931e

[ "Unlicense" ]

null

title_screen.py

matthew-sirman/mongoose-game

02751a85c3849ddb9da48414e165363a6d8a931e

[ "Unlicense" ]

null

title_screen.py

matthew-sirman/mongoose-game

02751a85c3849ddb9da48414e165363a6d8a931e

[ "Unlicense" ]

null

import pygame import socket import errno import threading from button import Button from text import Text, TextFeed from textbox import TextBox from message import Message from instructions import Instruction from cards import Deck, Card class TitleScreen: UPDATE_FREQUENCY = 1000 def __init__(self, screen_si...

35.351563

119

0.572376

1,062

9,050

4.560264

0.188324

0.047491

0.066488

0.055751

0.367128

0.305389

0.230436

0.206484

0.186661

0

0.029812

0.318011

9,050

255

120

35.490196

0.754861

0.020884

0

0.223464

0

0.067073

0.006775

0

0.011173

1

0.050279

false

0

0.055866

0

0.139665

0

null

0

null

0

1

0

fcf84360ff359b57ca0fd18707821b983a769abc

1,357

py

Python

tests/tests.py

CoderOJ/RLJ

20bb7ffd1581bf8cf820e0f594b63d2760ea721c

[ "MIT" ]

45

2017-11-19T06:54:07.000Z

2022-03-21T14:44:42.000Z

tests/tests.py

CoderOJ/RLJ

20bb7ffd1581bf8cf820e0f594b63d2760ea721c

[ "MIT" ]

6

2017-12-12T05:33:16.000Z

2018-08-28T12:30:50.000Z

tests/tests.py

CoderOJ/RLJ

20bb7ffd1581bf8cf820e0f594b63d2760ea721c

[ "MIT" ]

12

2017-12-12T04:43:04.000Z

2022-02-23T00:13:47.000Z

# import pytest from rlj import Judge, JudgeStatus, Config, makeConfig import os arguments = { '--O2': False, '--delete': False, '--genConfig': False, '--help': False, '--silent': False, '--version': False, '-c': 'config.yml', '-j': None, 'FILE': None } def getConfig(st): new...

23.396552

64

0.585851

173

1,357

4.479769

0.369942

0.117419

0.098065

0.061935

0.28129

0.229677

0.131613

0

0.032505

0.229182

1,357

57

65

23.807018

0.708413

0.00958

0

0.181818

0

0.127422

0

0.136364

1

0.113636

false

0

0.045455

0

0.181818

0.045455

0

null

0

null

0

1

0

fcf8e2c0ca1804414fbed4b83ad2f9184ee49834

1,246

py

Python

1._metis_models_and_data_2019-12-16b/METIS source code/Context actions/default/InvalidateKPIs.py

tamas-borbath/METIS

cf3dc0f0f96ccb6ad72ddf15ba7e31ddc6339036

[ "CC-BY-4.0" ]

1

2021-12-07T09:05:48.000Z

1._metis_models_and_data_2019-12-16b/METIS source code/Context actions/default/InvalidateKPIs.py

tamas-borbath/METIS_data_and_scripts

cf3dc0f0f96ccb6ad72ddf15ba7e31ddc6339036

[ "CC-BY-4.0" ]

null

1._metis_models_and_data_2019-12-16b/METIS source code/Context actions/default/InvalidateKPIs.py

tamas-borbath/METIS_data_and_scripts

cf3dc0f0f96ccb6ad72ddf15ba7e31ddc6339036

[ "CC-BY-4.0" ]

null

######################################################## # Copyright (c) 2015-2017 by European Commission. # # All Rights Reserved. # ######################################################## """ This context action deletes all KPI values in the current context """ from com.artel...

32.789474

149

0.668539

113

1,246

7.371681

0.530973

0.092437

0.120048

0.10084

0.156062

0.093637

0

0.007715

0.167737

1,246

37

150

33.675676

0.795564

0.174157

0

0.176471

0

0.119159

0

1

0.235294

false

0

0.117647

0

0.352941

0

null

0

null

0

1

0

1

fcf9531b2057af5f9ea183e50dad9241ce6ec6e4

1,358

py

Python

2021/Day06/Day06-Prob2-Unlimited-fish.py

guilhermebaos/Advent-of-Code-Solutions

232facf72a21284478134b2c56357352b4aaaf74

[ "MIT" ]

null

2021/Day06/Day06-Prob2-Unlimited-fish.py

guilhermebaos/Advent-of-Code-Solutions

232facf72a21284478134b2c56357352b4aaaf74

[ "MIT" ]

null

2021/Day06/Day06-Prob2-Unlimited-fish.py

guilhermebaos/Advent-of-Code-Solutions

232facf72a21284478134b2c56357352b4aaaf74

[ "MIT" ]

null

# Puzzle Input ---------- with open('Day06-Input.txt', 'r') as file: puzzle = list(map(int, file.read().split(','))) with open('Day06-Test01.txt', 'r') as file: test01 = list(map(int, file.read().split(','))) # Main Code ---------- # Count the first few fish and organize them by age in a dictionary def coun...

29.521739

96

0.627393

223

1,358

3.547085

0.32287

0.159292

0.22756

0.115044

0.313527

0.058154

0

0.026393

0.246686

1,358

45

97

30.177778

0.746823

0.228277

0

0.033719

0

1

0.086957

false

0

0.173913

0.086957

0

null

0

1

0

null

0

1

fcf9aa65396644ce8956039d18797ae05615fb61

19

py

Python

fossa/__init__.py

tresni/fossa

38a25d2c9091bbe28462a596fcfedd1179880358

[ "MIT" ]

null

fossa/__init__.py

tresni/fossa

38a25d2c9091bbe28462a596fcfedd1179880358

[ "MIT" ]

null

fossa/__init__.py

tresni/fossa

38a25d2c9091bbe28462a596fcfedd1179880358

[ "MIT" ]

null

APP_NAME = "fossa"

9.5

18

0.684211

3

19

4

1

0

0.157895

19

1

19

0.75

0

0.263158

0

1

0

false

0

1

0

null

0

1

0

null

0

3

fcfa435f98d43ada5cc2452165b6ea6be9181640

1,188

py

Python

src/boost_histogram/_internal/storage.py

andrzejnovak/boost-histogram

cdbfabb1c22f5545bf3900be01f2025411e699f1

[ "BSD-3-Clause" ]

105

2019-03-08T14:59:37.000Z

2022-03-11T12:46:17.000Z

src/boost_histogram/_internal/storage.py

andrzejnovak/boost-histogram

cdbfabb1c22f5545bf3900be01f2025411e699f1

[ "BSD-3-Clause" ]

400

2019-03-11T23:10:18.000Z

2022-03-25T14:02:06.000Z

src/boost_histogram/_internal/storage.py

andrzejnovak/boost-histogram

cdbfabb1c22f5545bf3900be01f2025411e699f1

[ "BSD-3-Clause" ]

25

2019-03-11T18:02:31.000Z

2022-03-10T20:14:22.000Z

import boost_histogram from .._core import storage as store from .utils import set_module # Simple mixin to provide a common base class for types class Storage: _family: object def __init_subclass__(cls, *, family: object) -> None: super().__init_subclass__() cls._family = family def __...

22.846154

73

0.751684

150

1,188

5.62

0.3

0.24911

0.116251

0.190985

0.569395

0.481613

0

0.007851

0.142256

1,188

51

74

23.294118

0.819431

0.044613

0

0.451613

0

0.165931

0

1

0.064516

false

0.225806

0.096774

0.032258

0.483871

0

null

1

0

1

0

null

0

1

0

3

fcfade839bbd2f518955cd01678b3f38bc653fa2

18,424

py

Python

adventure.py

brianquinlan/2016-christmas-adventure

40558968765a585414bb1c5b284e716dd4981957

[ "MIT" ]

null

adventure.py

brianquinlan/2016-christmas-adventure

40558968765a585414bb1c5b284e716dd4981957

[ "MIT" ]

null

adventure.py

brianquinlan/2016-christmas-adventure

40558968765a585414bb1c5b284e716dd4981957

[ "MIT" ]

null

#!/usr/bin/env python3 import itertools import random import subprocess import sys WELCOME_TEXT = """Welcome {name} to the land of Pavlisha. Many have entered this land but few have returned. Your quest is to slay the Bad King, who has stolen the Clock of Time. Without the Clock of Time it will be 2016 forever and ...

31.174281

104

0.651162

2,644

18,424

4.475794

0.238654

0.038449

0.01014

0.015379

0.163427

0.114163

0.069461

0.052391

0.036843

0.027632

0

0.016367

0.250543

18,424

590

105

31.227119

0.840672

0.003908

0

0.229581

0

0.002208

0.458859

0

1

0.039735

false

0.002208

0.00883

0.004415

0.094923

0.143488

0

null

0

null

0

1

0

fcfb1989c996cbe167fe37e33ab960b7feff5dd5

7,649

py

Python

wax/modules/online_supervised_learner_test.py

eserie/wax-ml

9cf92ff5c41ea681fd3eaaf4560b3380f986ee1e

[ "MIT", "ECL-2.0", "Apache-2.0", "BSD-3-Clause" ]

42

2021-06-14T16:27:54.000Z

2022-03-23T09:51:42.000Z

wax/modules/online_supervised_learner_test.py

eserie/wax-ml

9cf92ff5c41ea681fd3eaaf4560b3380f986ee1e

[ "MIT", "ECL-2.0", "Apache-2.0", "BSD-3-Clause" ]

1

2021-10-01T12:45:29.000Z

2021-10-03T18:06:39.000Z

wax/modules/online_supervised_learner_test.py

eserie/wax-ml

9cf92ff5c41ea681fd3eaaf4560b3380f986ee1e

[ "MIT", "ECL-2.0", "Apache-2.0", "BSD-3-Clause" ]

5

2021-06-11T12:32:41.000Z

2022-02-17T16:13:15.000Z

# Copyright 2021 The WAX-ML Authors # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in w...

31.093496

127

0.676298

1,142

7,649

4.410683

0.236427

0.01489

0.011912

0.415922

0.389915

0.341672

0.335517

0.302164

0

0.01403

0.226566

7,649

245

128

31.220408

0.83739

0.377173

0

0.534351

0

0.006145

0

0.076336

1

0.137405

false

0

0.061069

0.068702

0.312977

0

null

0

null

0

1

0

fcfc2b1fb4d4ad2e27520f6caefbdcadcd160c6c

2,814

py

Python

src/cvhelpers/visualization/objects.py

yewzijian/RegTR

64e5b3f0ccc1e1a11b514eb22734959d32e0cec6

[ "MIT" ]

25

2022-03-28T06:26:16.000Z

2022-03-30T14:21:24.000Z

src/cvhelpers/visualization/objects.py

yewzijian/RegTR

64e5b3f0ccc1e1a11b514eb22734959d32e0cec6

[ "MIT" ]

null

src/cvhelpers/visualization/objects.py

yewzijian/RegTR

64e5b3f0ccc1e1a11b514eb22734959d32e0cec6

[ "MIT" ]

2

2022-03-29T09:37:50.000Z

2022-03-30T06:26:35.000Z

"""Functions to create objects to add to the visualizer""" import numpy as np import torch from .vtk_object import VTKObject def _convert_torch_to_numpy(arr): """If arr is torch.Tensor, return the numpy equivalent, else return arr as it is""" if isinstance(arr, torch.Tensor): arr = arr.detach()....

26.299065

80

0.672708

417

2,814

4.453237

0.33813

0.01077

0.072698

0.077544

0.054927

0.019386

0

0.021838

0.218905

2,814

106

81

26.54717

0.823021

0.344705

0

0.333333

0

1

0.185185

false

0

0.055556

0

0.425926

0

null

0

null

0

1

0

fcfc93a2b90466a4bcdb00869bfa82e76236d6e4

2,980

py

Python

cv-classify.py

linovaldivia/cv-classify

f60cb2e4de4d020ac51e6e046f5dc9c6a6c4656c

[ "MIT" ]

null

cv-classify.py

linovaldivia/cv-classify

f60cb2e4de4d020ac51e6e046f5dc9c6a6c4656c

[ "MIT" ]

null

cv-classify.py

linovaldivia/cv-classify

f60cb2e4de4d020ac51e6e046f5dc9c6a6c4656c

[ "MIT" ]

null

import sys import getopt import trainer import classifier def show_help(): print "options: " print "-t, --training <training-data-dir> Enter training mode and use given directory for training data" print "-c, --classify <img-dir> Enter classify mode, using the images in t...

41.971831

259

0.590268

359

2,980

4.771588

0.292479

0.077058

0.031524

0.02627

0.088733

0.068885

0.046702

0

0.002378

0.294295

2,980

70

260

42.571429

0.812173

0.005705

0

0.080645

0

0.064516

0.386356

0

null

0

0.064516

null

0.145161

0

null

0

null

0

1

0

1

fcff3d85fe99542b6a26eb81efd2192cd0645652

622

py

Python

src/mono_test.py

hb-jones/rp1-ros

afc2888f5da7a2b4cc6d9e07ce017f26996e58c3

[ "Apache-2.0" ]

null

src/mono_test.py

hb-jones/rp1-ros

afc2888f5da7a2b4cc6d9e07ce017f26996e58c3

[ "Apache-2.0" ]

null

src/mono_test.py

hb-jones/rp1-ros

afc2888f5da7a2b4cc6d9e07ce017f26996e58c3

[ "Apache-2.0" ]

null

import time, cv2, json from vision.monocular import Monocular, test_publisher_pixel_coordinate def test_func(var): return def main(): cam = Monocular(test_publisher_pixel_coordinate) #cam = Monocular(test_func) cam.start_loop() cam.debug_mode = True cam.debug_type = "cont" ti...

23.923077

72

0.622186

83

622

4.39759

0.590361

0.106849

0.120548

0.147945

0.20274

0

0.017817

0.278135

622

25

73

24.88

0.7951

0.099678

0

0.046904

0

0.007505

0

1

0.111111

false

0

0.111111

0.055556

0.277778

0

null

0

null

0

1

0

fcffd6e5c047818eed25631c704cc70770c625fb

4,562

py

Python

dream_machine/webgl/render_targets.py

Aeva/dream_machine

6f8e913096806bf04d7db257a9033e580d5d46d4

[ "Apache-2.0" ]

3

2020-08-03T15:49:13.000Z

2020-08-08T03:14:00.000Z

dream_machine/webgl/render_targets.py

Aeva/dream_machine

6f8e913096806bf04d7db257a9033e580d5d46d4

[ "Apache-2.0" ]

28

2020-08-26T01:45:44.000Z

2020-11-12T03:12:13.000Z

dream_machine/webgl/render_targets.py

Aeva/dream_machine

6f8e913096806bf04d7db257a9033e580d5d46d4

[ "Apache-2.0" ]

null

# Copyright 2020 Aeva Palecek # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writin...

32.820144

144

0.707584

495

4,562

6.329293

0.286869

0.045962

0.056176

0.042451

0.252154

0.187041

0.157038

0.118736

0.082988

0

0.003754

0.182595

4,562

138

145

33.057971

0.836149

0.120342

0

0.277778

0

0.011111

0.150613

0.075056

0

0.022222

0

null

0

0.022222

null

0

null

0

null

0

1

0

1

fcffe22efcddd524aff30bbd278fd51ef10be4d7

1,301

py

Python

modules/input_output.py

hhandika/journal-unlocker

b35133565c991688c726643949a102beefdedfc8

[ "MIT" ]

1

2020-11-29T08:10:16.000Z

modules/input_output.py

hhandika/journal-unlocker

b35133565c991688c726643949a102beefdedfc8

[ "MIT" ]

null

modules/input_output.py

hhandika/journal-unlocker

b35133565c991688c726643949a102beefdedfc8

[ "MIT" ]

null

import webbrowser as wb from modules import converter class UserInput(converter.LinkConverter): def __init__(self, libs, url): self.libs = libs self.url = url def _invalid_input(self): print(f"\x1b[0;31mERROR: \x1b[0m{self.url} is invalid URL\n") print("Please, enter a val...

30.255814

72

0.597233

169

1,301

4.384615

0.325444

0.075574

0.052632

0.08637

0.118758

0

0.010823

0.289777

1,301

43

73

30.255814

0.791126

0

0.171429

0

0.028571

0.162826

0

1

0.2

false

0

0.057143

0

0.285714

0.114286

0

null

0

null

0

1

0

1e011925c6302c4ad1c6ff5f9211ec00aafbb0c5

959

py

Python

tests/file_iterators/test_trillian_xml.py

mtlynch/chat_unifier

7449ca4f2dd48d8b76fc29e150643076dd0b3334

[ "MIT" ]

2

2018-10-16T18:39:06.000Z

2019-01-22T01:38:09.000Z

tests/file_iterators/test_trillian_xml.py

mtlynch/chat_unifier

7449ca4f2dd48d8b76fc29e150643076dd0b3334

[ "MIT" ]

2

2018-10-19T00:00:21.000Z

2018-10-19T17:15:25.000Z

tests/file_iterators/test_trillian_xml.py

mtlynch/chat_unifier

7449ca4f2dd48d8b76fc29e150643076dd0b3334

[ "MIT" ]

null

import os import unittest import mock from chat_unifier.file_iterators import trillian_xml class TrillianXmlFileIteratorTest(unittest.TestCase): def setUp(self): self.maxDiff = None def test_picks_correct_trillian_log_files(self): with mock.patch.object(os, 'walk') as mock_walk: ...

33.068966

68

0.552659

95

959

5.442105

0.484211

0.067698

0.092843

0.096712

0.108317

0

0.035451

0.294056

959

28

69

34.25

0.728213

0

0.271116

0.118874

0

0.045455

1

0.090909

false

0

0.181818

0

0.318182

0

null

0

null

0

1

0

1e01397b0e0b55041950595176edcb92e499b82c

169

py

Python

mtd/__init__.py

jbernhard/mtd

6326fdb44f071311ace7862371e658d609f43d08

[ "MIT" ]

4

2017-02-21T21:20:07.000Z

2020-11-03T15:54:13.000Z

mtd/__init__.py

jbernhard/mtd

6326fdb44f071311ace7862371e658d609f43d08

[ "MIT" ]

null

mtd/__init__.py

jbernhard/mtd

6326fdb44f071311ace7862371e658d609f43d08

[ "MIT" ]

null

# -*- coding: utf-8 -*- __version__ = '0.1.dev0' from .multigp import MultiGP from .pca import PCA from .util import * from . import priors from george import kernels

16.9

28

0.710059

25

169

4.64

0.6

0

0.028777

0.177515

169

9

29

18.777778

0.805755

0.12426

0

0.054795

0

1

0

false

0

0.833333

0

0.833333

0

1

0

null

0

1

0

null

0

1

0

1

0

4

1e037702ba339edd20a07331a6e5b456dd7810a0

952

py

Python

SpriteSheetPacker/packer.py

ithilelda/ModLoaderLite

14899f8d1a406563600c2abe76ac1a2c58c6135d

[ "MIT" ]

1

2022-01-19T05:16:02.000Z

SpriteSheetPacker/packer.py

ithilelda/ModLoaderLite

14899f8d1a406563600c2abe76ac1a2c58c6135d

[ "MIT" ]

null

SpriteSheetPacker/packer.py

ithilelda/ModLoaderLite

14899f8d1a406563600c2abe76ac1a2c58c6135d

[ "MIT" ]

null

import os import math from PIL import Image def pack_directory(path): def name_comparer(entry): return int(entry.name.strip('image .png')) files = [e for e in os.scandir(path) if e.name.endswith('png') and not e.name.startswith('output')] files.reverse() images = [Image.open(e.path) for e in ...

28.848485

103

0.582983

152

952

3.592105

0.375

0.03663

0.032967

0.065934

0.047619

0

0.017291

0.271008

952

33

104

28.848485

0.769452

0

0.050367

0

1

0.071429

false

0

0.107143

0.035714

0.214286

0

null

0

null

0

1

0

1e03ed577f62b4839e55690fb48c279d0a38fc65

28,226

py

Python

libs/graph_embeddings/graph_embeddings/embeddings.py

skojaku/residual2vec

ea10caae3c2671953fbc295358040baa36ee1547

[ "MIT" ]

2

2022-01-20T18:03:11.000Z

2022-03-04T08:21:42.000Z

libs/graph_embeddings/graph_embeddings/embeddings.py

skojaku/residual2vec

ea10caae3c2671953fbc295358040baa36ee1547

[ "MIT" ]

null

libs/graph_embeddings/graph_embeddings/embeddings.py

skojaku/residual2vec

ea10caae3c2671953fbc295358040baa36ee1547

[ "MIT" ]

null

"""Modules for graph embedding methods.""" import logging import gensim import networkx as nx import numpy as np import pandas as pd # For GCN import stellargraph as sg import tensorflow as tf from graph_embeddings import samplers, utils from scipy import sparse from sklearn import model_selection from stellargraph....

32.406429

132

0.571034

3,525

28,226

4.420426

0.114326

0.030035

0.012129

0.016943

0.730009

0.695546

0.670838

0.655372

0.628546

0.608202

0

0.016716

0.323921

28,226

870

133

32.443678

0.799822

0.145965

0

0.635

0

0.001667

0.017277

0

0.002299

0

1

0.055

false

0.003333

0.051667

0

0.158333

0.001667

0

null

0

1

0

null

0

1

1e04313b1a59f752d444d642a7310789f916860e

6,410

py

Python

CrudSimulation/forms.py

CodexLink/AdvancedCRUD-Django

aea8da56b1713735196f675a5c0acf2dde974616

[ "MIT" ]

1

2020-04-13T03:35:19.000Z

CrudSimulation/forms.py

CodexLink/AdvancedCRUD-Django

aea8da56b1713735196f675a5c0acf2dde974616

[ "MIT" ]

6

2020-04-12T17:59:08.000Z

2021-09-22T18:52:24.000Z

CrudSimulation/forms.py

CodexLink/Django_Single_Page_CRUD

b37bc61bed2434a3e35ca7afe3b99e95a2289487

[ "MIT" ]

1

2020-05-03T14:00:32.000Z

from django import forms from django.core.validators import MaxValueValidator, MinValueValidator from .additionals.metaData import * from .models import UserCredentials, UserTasks, UserDepartment from django.contrib.auth.forms import AuthenticationForm class AuthForm(AuthenticationForm, forms.ModelForm): class Met...

75.411765

294

0.7

728

6,410

6.049451

0.223901

0.052452

0.072661

0.094005

0.64396

0.637829

0.615577

0.603769

0

0.027183

0.133385

6,410

85

295

75.411765

0.765617

0

0.228571

0

0.014286

0.29543

0.003276

0

1

0.028571

false

0.128571

0.071429

0.014286

0.542857

0

null

0

1

0

null

0

1

0

1

0

3

1e047aa179f50c2fad3a719fb925ab7747594f6a

9,184

py

Python

basedir/__init__.py

fenhl/python-xdg-basedir

17032de6c9728ddba5c40a983c50088d69dc631e

[ "MIT" ]

null

basedir/__init__.py

fenhl/python-xdg-basedir

17032de6c9728ddba5c40a983c50088d69dc631e

[ "MIT" ]

null

basedir/__init__.py

fenhl/python-xdg-basedir

17032de6c9728ddba5c40a983c50088d69dc631e

[ "MIT" ]

null

import collections.abc import json import os import os.path import pathlib import subprocess def parse_version_string(): path = pathlib.Path(__file__).resolve().parent # go up one level, from repo/basedir.py to repo, where README.md is located try: version = subprocess.check_output(['git', 'rev-parse',...

39.416309

351

0.582753

1,171

9,184

4.457728

0.179334

0.062069

0.058238

0.028736

0.472797

0.44387

0.402107

0.382184

0.318582

0.283142

0

0.000643

0.323062

9,184

232

352

39.586207

0.83899

0.157557

0

0.420455

0

0.035605

0

1

0.125

false

0.017045

0.045455

0.039773

0.369318

0.005682

0

null

0

null

0

1

0

1e054a3c6b84d4385ce18db1a386851ca484d0f1

2,861

py

Python

convert_to_tf_records.py

andreweskeclarke/toxic_kaggle

e761f4aad0688423bdbe4098fe7efddddea4b0d9

[ "MIT" ]

null

convert_to_tf_records.py

andreweskeclarke/toxic_kaggle

e761f4aad0688423bdbe4098fe7efddddea4b0d9

[ "MIT" ]

null

convert_to_tf_records.py

andreweskeclarke/toxic_kaggle

e761f4aad0688423bdbe4098fe7efddddea4b0d9

[ "MIT" ]

null

#!/usr/bin/env python3 import argparse import collections import csv import tensorflow as tf import numpy as np from google_research.bert.tokenizer import FullTokenizer def main(): MAX_SEQUENCE_LENGTH = 512 parser = argparse.ArgumentParser() parser.add_argument('--do_lower_case', action='store_true') ...

47.683333

110

0.645928

350

2,861

5.065714

0.314286

0.047377

0.05753

0.053582

0.347434

0.279752

0.259447

0.19797

0.173153

0

0.016026

0.236631

2,861

59

111

48.491525

0.795788

0.00734

0

0.055556

0

0.130328

0.016203

0

1

0.018519

false

0

0.111111

0

0.12963

0

null

0

null

0

1

0

1e05d2ddced6438f7254bbde6bd745d89e9f2ec4

3,733

py

Python

djusagi/bin/contacts_update.py

carthage-college/django-djusagi

8fb2fe0b9100ac4bd6ebd0ea7cf44d732f7fcc5a

[ "BSD-3-Clause" ]

null

djusagi/bin/contacts_update.py

carthage-college/django-djusagi

8fb2fe0b9100ac4bd6ebd0ea7cf44d732f7fcc5a

[ "BSD-3-Clause" ]

2

2020-03-06T14:09:23.000Z

2021-11-30T21:33:26.000Z

djusagi/bin/contacts_update.py

carthage-college/django-djusagi

8fb2fe0b9100ac4bd6ebd0ea7cf44d732f7fcc5a

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- import os, sys # env sys.path.append('/usr/local/lib/python2.7/dist-packages/') sys.path.append('/usr/lib/python2.7/dist-packages/') sys.path.append('/usr/lib/python2.7/') sys.path.append('/data2/django_projects/') sys.path.append('/data2/django_third/') os.environ.setdefault("DJANGO_SETTINGS_...

26.856115

80

0.556389

425

3,733

4.8

0.390588

0.017157

0.031863

0.023529

0.067157

0.043627

0

0.006392

0.329494

3,733

138

81

27.050725

0.80863

0.053576

0

0.1

0

0.011111

0.252606

0.035868

0

null

0

0.055556

null

0.077778

0

null

0

null

0

1

0

1

1e05fc418915f277ab4a685fd9b838701e4c7fe8

14,246

py

Python

fedot/core/operations/evaluation/operation_implementations/data_operations/sklearn_transformations.py

vkirilenko/FEDOT

d287d899e47fe5aebf52c12733892e103b75842b

[ "BSD-3-Clause" ]

1

2021-11-09T10:24:38.000Z

fedot/core/operations/evaluation/operation_implementations/data_operations/sklearn_transformations.py

vkirilenko/FEDOT

d287d899e47fe5aebf52c12733892e103b75842b

[ "BSD-3-Clause" ]

null

fedot/core/operations/evaluation/operation_implementations/data_operations/sklearn_transformations.py

vkirilenko/FEDOT

d287d899e47fe5aebf52c12733892e103b75842b

[ "BSD-3-Clause" ]

null

from typing import Optional import numpy as np from sklearn.decomposition import KernelPCA, PCA from sklearn.impute import SimpleImputer from sklearn.preprocessing import MinMaxScaler, OneHotEncoder, PolynomialFeatures, StandardScaler from fedot.core.data.data import InputData from fedot.core.data.data import data_ha...

38.711957

116

0.653727

1,536

14,246

5.835286

0.132161

0.045186

0.03414

0.018967

0.548142

0.507308

0.444382

0.427982

0.382573

0.361821

0

0.002312

0.271374

14,246

367

117

38.817439

0.861175

0.240418

0

0.462687

0

0.017469

0

1

0.119403

false

0.004975

0.039801

0.024876

0.258706

0

null

0

null

0

1

0

1e0722a167a785c6b5484768dc494ed00583b144

559

py

Python

allauth_saml2/urls.py

davidmgvaz/allauth_saml2

0a797b66831fedb0a5bce7ba2bdde001efbf6956

[ "MIT" ]

1

2021-07-29T00:56:27.000Z

allauth_saml2/urls.py

davidmgvaz/allauth_saml2

0a797b66831fedb0a5bce7ba2bdde001efbf6956

[ "MIT" ]

1

2022-03-01T21:17:54.000Z

2022-03-14T07:51:09.000Z

allauth_saml2/urls.py

davidmgvaz/allauth_saml2

0a797b66831fedb0a5bce7ba2bdde001efbf6956

[ "MIT" ]

2

2021-11-18T21:05:34.000Z

2022-03-11T23:31:44.000Z

from django.urls import include, path from allauth.utils import import_attribute def default_urlpatterns(provider): login_view = import_attribute(provider.get_package() + ".views.saml2_login") acs_view = import_attribute(provider.get_package() + ".views.saml2_acs") urlpatterns = [ path("login/",...

32.882353

80

0.692308

69

559

5.391304

0.42029

0.120968

0.102151

0.145161

0.252688

0

0.004338

0.175313

559

16

81

34.9375

0.802603

0.093023

0

0.108911

0

0.0625

0

1

0.1

false

0

0.4

0

0.6

0

null

0

null

0

1

0

1

0

2

1e08575a33b1bf77c5ac73909e8b814796a5d007

421

py

Python

json_extract.py

Puratinamu/Application-Document-Generator

6e6068fc8f360f8b2ccd15ca66d028ad37055593

[ "Apache-2.0" ]

1

2019-03-01T18:10:56.000Z

json_extract.py

Puratinamu/Application-Document-Generator

6e6068fc8f360f8b2ccd15ca66d028ad37055593

[ "Apache-2.0" ]

null

json_extract.py

Puratinamu/Application-Document-Generator

6e6068fc8f360f8b2ccd15ca66d028ad37055593

[ "Apache-2.0" ]

null

import json def extract(filename): ''' (str) -> list of object Given the filename of a JSON file in the current directory, extract and return its data. :param filename: name of the JSON file: :return data: data extracted from the JSON file: ''' file = open(filename, 'r') json_decode = ...

24.764706

82

0.64133

60

421

4.466667

0.516667

0.089552

0.08209

0

0.268409

421

16

83

26.3125

0.87013

0.477435

0

0.005208

0

1

0.125

false

0

0.125

0

0.375

0

null

0

null

0

1

0

1e0a45dc70c943024981f87b2475e50be7bce1eb

1,990

py

Python

src/DataExploration/Python/PHE_PracticeProfileIndicators_Analysis.py

shashidarette/healthcare_dataviz

f638a60b3e3f31e68704fe73cce700e01bf25dfe

[ "MIT" ]

null

src/DataExploration/Python/PHE_PracticeProfileIndicators_Analysis.py

shashidarette/healthcare_dataviz

f638a60b3e3f31e68704fe73cce700e01bf25dfe

[ "MIT" ]

null

src/DataExploration/Python/PHE_PracticeProfileIndicators_Analysis.py

shashidarette/healthcare_dataviz

f638a60b3e3f31e68704fe73cce700e01bf25dfe

[ "MIT" ]

null

# coding: utf-8 # ## This notebook is to analyse the practice indicators available from PHE dataset # In[1]: import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns # In[2]: # General Practice Indicators from PHE (It includes England, CCG level indicators as well) GPIndicat...

16.722689

127

0.711055

288

1,990

4.767361

0.395833

0.025492

0.045885

0.03496

0.186453

0.16606

0

0.039883

0.143216

1,990

118

128

16.864407

0.765396

0.273869

0

0.283286

0.111898

0

1

0

false

0

0.129032

0

0.129032

0

null

0

null

0

1

0

1e0a8cd86646fb6782dcda7592bb726bc8b672cd

656

py

Python

python/agenciesModule.py

leomaurodesenv/travel-dataset-generator

6d97012ea50ab94d8513cd4d4a5b17d36fa94469

[ "CC-BY-4.0" ]

3

2019-09-24T20:53:21.000Z

2021-07-06T17:39:01.000Z

python/agenciesModule.py

leomaurodesenv/travel-dataset-generator

6d97012ea50ab94d8513cd4d4a5b17d36fa94469

[ "CC-BY-4.0" ]

null

python/agenciesModule.py

leomaurodesenv/travel-dataset-generator

6d97012ea50ab94d8513cd4d4a5b17d36fa94469

[ "CC-BY-4.0" ]

2

2019-09-24T20:57:11.000Z

2020-02-28T15:07:55.000Z

#- Import packages import random ''' @module: Travel Dataset Generator @authors: Leonardo Mauro <leomaurodesenv> @link: https://github.com/Argo-Solutions/travel-dataset-generator GitHub @license: Creative Commons BY License @copyright: 2019 Argo Solutions @access: public ''' #- Functions def funcAgencyGenerator(flig...

26.24

72

0.71189

75

656

6.226667

0.693333

0.055675

0.094218

0

0.009158

0.167683

656

24

73

27.333333

0.846154

0.178354

0

0.018182

0

1

0.125

false

0

0.125

0

0.375

0

null

0

null

0

1

0

1e0ed9639458ffbc0cde9e78e007150cad47b135

237

py

Python

user/admin.py

calumlim/talentalps

cc66eabf71e04b6ab5831ee15f57e771cba82279

[ "FSFAP" ]

null

user/admin.py

calumlim/talentalps

cc66eabf71e04b6ab5831ee15f57e771cba82279

[ "FSFAP" ]

null

user/admin.py

calumlim/talentalps

cc66eabf71e04b6ab5831ee15f57e771cba82279

[ "FSFAP" ]

null

from django.contrib import admin from . import models # Register your models here. admin.site.register(models.UserProfile) admin.site.register(models.Candidate) admin.site.register(models.Company) admin.site.register(models.CompanyImage)

33.857143

40

0.831224

32

237

6.15625

0.4375

0.182741

0.345178

0.467005

0

0.067511

237

7

40

33.857143

0.891403

0.109705

0

1

0

true

0

0.333333

0

0.333333

0

null

0

1

0

1

0

null

0

1

0

1

0

5

1e0fb8e5cdbf2596f9936f5922fbf205cea62135

5,965

py

Python

src/functions.py

directedbyshawn/Spotlight

80fa18a038ef0ac996bc5102c097587f7f3a54be

[ "MIT" ]

null

src/functions.py

directedbyshawn/Spotlight

80fa18a038ef0ac996bc5102c097587f7f3a54be

[ "MIT" ]

null

src/functions.py

directedbyshawn/Spotlight

80fa18a038ef0ac996bc5102c097587f7f3a54be

[ "MIT" ]

null

''' Basic functions used throughout the entirety of the project. --------------------------------------------------- --------------------------------------------------- --------------------------------------------------- --------------------------------------------------- -----------------...

27.615741

142

0.524895

691

5,965

4.474674

0.272069

0.032018

0.032988

0.04075

0.320505

0.300453

0.242885

0.222833

0.203105

0.159767

0

0.011717

0.255993

5,965

215

143

27.744186

0.684993

0.424811

0

0.16129

0

0.147264

0.015589

0

1

0.112903

false

0.096774

0.032258

0

0.209677

0.080645

0

null

0

null

0

1

0

1

1e0fdbf7190da408c69ac345f5e674132d380c9e

5,059

py

Python

ghidra_9.0/Ghidra/Features/Base/ghidra_scripts/mark_in_out.py

ChristopherMorrison/ghidra

e53aa57d1aff79a1df93728f746705c58fe95ab0

[ "Apache-2.0" ]

3

2019-11-14T13:11:35.000Z

2019-12-02T20:51:49.000Z

ghidra_9.0/Ghidra/Features/Base/ghidra_scripts/mark_in_out.py

ChristopherMorrison/ghidra

e53aa57d1aff79a1df93728f746705c58fe95ab0

[ "Apache-2.0" ]

3

2019-07-17T22:51:04.000Z

2019-12-04T05:43:56.000Z

ghidra_9.0/Ghidra/Features/Base/ghidra_scripts/mark_in_out.py

ChristopherMorrison/ghidra

e53aa57d1aff79a1df93728f746705c58fe95ab0

[ "Apache-2.0" ]

3

2019-12-02T13:36:50.000Z

2019-12-04T05:40:12.000Z

# Sets up IOPORT IN/OUT references for the Program #@category Instructions # Before running this script, you should have created an OVERLAY memory # space called IOMEM, starting at address 0, size 0x10000. # # Note: This script is rather sloppy and should probably be cleaned up. from ghidra.program.model.lang.Operand...

50.59

82

0.572247

498

5,059

5.789157

0.319277

0.010406

0.029136

0.030524

0.495317

0.444676

0.422477

0.409296

0

0.011233

0.348883

5,059

99

83

51.10101

0.863995

0.250445

0

0.321429

0

0.026222

0

null

0.017857

0.053571

null

0.035714

0

null

0

null

0

1

0

1

1e10bd551541e3f85348ce7df075595f398b1a18

193

py

Python

Learn_Python_the_Hard_Way/ex13.py

XC-Li/old_python_programs

8f9b10120c94cf06978aec3f47be4517f463ca76

[ "MIT" ]

null

Learn_Python_the_Hard_Way/ex13.py

XC-Li/old_python_programs

8f9b10120c94cf06978aec3f47be4517f463ca76

[ "MIT" ]

null

Learn_Python_the_Hard_Way/ex13.py

XC-Li/old_python_programs

8f9b10120c94cf06978aec3f47be4517f463ca76

[ "MIT" ]

null

#LPHW ex13 from sys import argv script, first, second, third = argv print "The script is called:", script print "First Var:", first print "Second Var:", second print "Third Var:", third

24.125

38

0.699482

29

193

4.655172

0.517241

0

0.012821

0.19171

193

8

39

24.125

0.852564

0.046632

0

0.293785

0

null

0

0.166667

null

0.666667

1

0

null

0

1

0

null

0

1

0

1

0

4

1e12c6a3aa526ef23aa7034fa618c29135d58d92

672

py

Python

wrappers/python/tests/anoncreds/test_issuer_create_credential.py

sklump/indy-sdk

ee05a89ddf60b42f7483bebf2d89a936e12730df

[ "Apache-2.0" ]

636

2017-05-25T07:45:43.000Z

2022-03-23T22:30:34.000Z

wrappers/python/tests/anoncreds/test_issuer_create_credential.py

Nick-1979/indy-sdk

e5f812e14962f0d51cf96f843033754ff841ce30

[ "Apache-2.0" ]

731

2017-05-29T07:15:08.000Z

2022-03-31T07:55:58.000Z

wrappers/python/tests/anoncreds/test_issuer_create_credential.py

Nick-1979/indy-sdk

e5f812e14962f0d51cf96f843033754ff841ce30

[ "Apache-2.0" ]

904

2017-05-25T07:45:49.000Z

2022-03-31T07:43:31.000Z

import pytest from indy import error from indy.anoncreds import issuer_create_credential # noinspection PyUnusedLocal @pytest.mark.asyncio async def test_issuer_create_credential_works(wallet_handle, prepopulated_wallet): pass # noinspection PyUnusedLocal @pytest.mark.asyncio async def test_issuer_create_crede...

32

109

0.83631

85

672

6.152941

0.423529

0.091778

0.16826

0.133843

0.309751

0

0.111607

672

20

110

33.6

0.876047

0.078869

0

0.166667

0

1

0

true

0.083333

0.25

0

0.25

0

null

0

null

0

1

0

2

1e12e199bdc44676eec4cb40e4b40d0b6977cd06

259

py

Python

watermarks/settings.py

pmaigutyak/mp-watermarks

a5d3e2e00fcfbeee2b06a110b1bc796c809feb5a

[ "0BSD" ]

2

2018-02-26T21:58:57.000Z

2021-09-25T14:31:38.000Z

watermarks/settings.py

pmaigutyak/mp-watermarks

a5d3e2e00fcfbeee2b06a110b1bc796c809feb5a

[ "0BSD" ]

2

2022-01-13T00:41:17.000Z

2022-02-16T08:52:21.000Z

watermarks/settings.py

pmaigutyak/mp-watermarks

a5d3e2e00fcfbeee2b06a110b1bc796c809feb5a

[ "0BSD" ]

null

class WatermarksSettings(object): @property def INSTALLED_APPS(self): apps = super().INSTALLED_APPS + ['watermarks'] if 'imagekit' not in apps: apps.append('imagekit') return apps default = WatermarksSettings

17.266667

54

0.629344

25

259

6.44

0.68

0.161491

0

0.274131

259

14

55

18.5

0.856383

0

0.100775

0

1

0.125

false

0

0.375

0

1

0

null

0

null

0

1

1e13707a70a02716acbba14e0252bf893cec27b1

179

py

Python

engine/render/__init__.py

TWoolhouse/Libraries

26079ed387cb800cb97f20980720ae094008c7bf

[ "MIT" ]

1

2020-10-11T15:34:56.000Z

engine/render/__init__.py

TWoolhouse/Libraries

26079ed387cb800cb97f20980720ae094008c7bf

[ "MIT" ]

null

engine/render/__init__.py

TWoolhouse/Libraries

26079ed387cb800cb97f20980720ae094008c7bf

[ "MIT" ]

null

from .primitive import Primitive from .shape import Polygon from .text import Text, Font from .colour import Colour __all__ = ["Primitive", "Polygon", "Text", "Font", "Colour" ]

19.888889

35

0.731844

23

179

5.521739

0.391304

0.125984

0

0.145251

179

8

36

22.375

0.830065

0

0.167598

0

1

0

false

0

0.571429

0

0.571429

0

1

0

null

0

1

0

null

0

1

0

1

0

4

1e18059d12840f8a0185aebcabdddc4603c7b343

9,891

py

Python

test/graph/test_graph.py

openeuler-mirror/pkgship

5aaa4953023fde8ff03892fe5608f0711a26a942

[ "MulanPSL-1.0" ]

null

test/graph/test_graph.py

openeuler-mirror/pkgship

5aaa4953023fde8ff03892fe5608f0711a26a942

[ "MulanPSL-1.0" ]

null

test/graph/test_graph.py

openeuler-mirror/pkgship

5aaa4953023fde8ff03892fe5608f0711a26a942

[ "MulanPSL-1.0" ]

1

2021-11-20T00:10:53.000Z

#!/usr/bin/python3 # ****************************************************************************** # Copyright (c) Huawei Technologies Co., Ltd. 2020-2020. All rights reserved. # licensed under the Mulan PSL v2. # You can use this software according to the terms and conditions of the Mulan PSL v2. # You may obtain a c...

35.967273

98

0.652512

1,151

9,891

5.384883

0.159861

0.116167

0.049371

0.0697

0.583898

0.516618

0.502097

0.493062

0.481284

0

0.005202

0.222526

9,891

274

99

36.09854

0.80078

0.15873

0

0.295302

0

0.20254

0.159056

0

0.006711

1

0.174497

false

0

0.040268

0

0.355705

0

null

0

null

0

1

0

1e184b235ee24c10614c3bd2ea14856e7508653c

98

py

Python

output/models/ms_data/simple_type/st_e065_xsd/__init__.py

tefra/xsdata-w3c-tests

b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f

[ "MIT" ]

1

2021-08-14T17:59:21.000Z

output/models/ms_data/simple_type/st_e065_xsd/__init__.py

tefra/xsdata-w3c-tests

b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f

[ "MIT" ]

4

2020-02-12T21:30:44.000Z

2020-04-15T20:06:46.000Z

output/models/ms_data/simple_type/st_e065_xsd/__init__.py

tefra/xsdata-w3c-tests

b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f

[ "MIT" ]

null

from output.models.ms_data.simple_type.st_e065_xsd.st_e065 import Root __all__ = [ "Root", ]

16.333333

70

0.744898

16

98

4

0.8125

0.1875

0

0.071429

0.142857

98

5

71

19.6

0.690476

0

0.040816

0

1

0

false

0

0.25

0

0.25

0

1

0

null

0

1

0

null

0

2

1e19aaec4f9f9c19341dbc0cda0f3aa30674340b

1,066

py

Python

examples/example.py

jacobdeery/souvlaki

4e420857b02ff6dfa626c2b45f00efb564edc1a0

[ "MIT" ]

null

examples/example.py

jacobdeery/souvlaki

4e420857b02ff6dfa626c2b45f00efb564edc1a0

[ "MIT" ]

null

examples/example.py

jacobdeery/souvlaki

4e420857b02ff6dfa626c2b45f00efb564edc1a0

[ "MIT" ]

null

import os import random import souvlaki as sv class WordSource(): def __init__(self, nouns, adjectives, prefixes): self.nouns = nouns self.adjectives = adjectives self.prefixes = prefixes def noun(self): return random.choice(self.nouns) def adjective(self): r...

23.173913

71

0.651032

136

1,066

4.919118

0.330882

0.044843

0.071749

0.098655

0.295964

0.179372

0.137519

0

0.00243

0.227955

1,066

45

72

23.688889

0.81045

0

0.084428

0.0197

0

1

0.172414

false

0

0.103448

0.413793

0.034483

0

null

0

null

0

1

0

1

1e1ac363161eed75ef1bc0fa12a7f4f0d899c140

716

py

Python

api/controllers/student/field_update_controller.py

NoisyBotDude/MIS-Backend

fa402b0a6d5d6862634b0ed55bc57178856c1eba

[ "MIT" ]

1

2022-03-28T06:13:11.000Z

api/controllers/student/field_update_controller.py

NoisyBotDude/MIS-Backend

fa402b0a6d5d6862634b0ed55bc57178856c1eba

[ "MIT" ]

1

2021-12-21T13:59:47.000Z

api/controllers/student/field_update_controller.py

NoisyBotDude/MIS-Backend

fa402b0a6d5d6862634b0ed55bc57178856c1eba

[ "MIT" ]

10

2021-12-24T18:08:57.000Z

2022-03-18T13:18:25.000Z

from api.drivers.student import student_drivers from api.schemas.student.request_schemas import student_request_schemas from api.utils.exceptions import exceptions async def update( request: student_request_schemas.StudentPersonalInfoSchema, authorization ): """Updates student's info""" #...

25.571429

82

0.73324

84

716

6.083333

0.452381

0.041096

0.123288

0

0.194134

716

27

83

26.518519

0.885615

0.090782

0

0.033981

0

1

0

false

0.071429

0.214286

0

0.285714

0

null

0

null

0

1

0

1

1e1adf5c90b9d3bac8d132f53c4fd34036e51397

2,074

py

Python

regex/ex05.py

stormabq/python-examples

1c1acfc3863a2cf1a9e202c9299f3a526858eb34

[ "MIT" ]

1

2021-12-12T04:39:53.000Z

regex/ex05.py

stormabq/python-examples

1c1acfc3863a2cf1a9e202c9299f3a526858eb34

[ "MIT" ]

null

regex/ex05.py

stormabq/python-examples

1c1acfc3863a2cf1a9e202c9299f3a526858eb34

[ "MIT" ]

6

2020-05-05T17:21:28.000Z

2021-12-12T04:39:57.000Z

## See the html directory in this repo import re def get_name_and_number(input): m = re.match(r"(?P<x0>Organism) (?P<x1>.*) (?P<x2>has) (?P<x3>\d+)", input) if m == None: return None r1 = m.group("x1") r2 = m.group("x3") mytuple = (r1, r2) return mytuple testary = [ "Organism En...

56.054054

121

0.761813

268

2,074

5.869403

0.421642

0.12206

0.193261

0.305149

0.362365

0

0.11678

0.14947

2,074

36

122

57.611111

0.774943

0.016876

0

0.068966

0.806483

0.258841

0

1

0.034483

false

0

0.034483

0

0.137931

0.034483

0

null

0

1

0

1

0

null

0

3

1e1b73599dd7ea98dc2b2062486c37f98c1e9a64

15,070

py

Python

gym_electric_motor/physical_systems/physical_systems.py

zizai/gym-electric-motor

48a0232edf3474e441453126df0f52dc391aed11

[ "MIT" ]

null

gym_electric_motor/physical_systems/physical_systems.py

zizai/gym-electric-motor

48a0232edf3474e441453126df0f52dc391aed11

[ "MIT" ]

null

gym_electric_motor/physical_systems/physical_systems.py

zizai/gym-electric-motor

48a0232edf3474e441453126df0f52dc391aed11

[ "MIT" ]

null

import numpy as np from gym.spaces import Box from ..core import PhysicalSystem from ..physical_systems import electric_motors as em, mechanical_loads as ml, converters as cv, \ voltage_supplies as vs, noise_generators as ng, solvers as sv from ..utils import instantiate, set_state_array class SCMLSyste...

40.951087

121

0.633842

1,845

15,070

4.853659

0.125203

0.032161

0.050921

0.0134

0.395757

0.33646

0.282747

0.238638

0.21876

0

0.003581

0.277372

15,070

367

122

41.06267

0.818733

0.172661

0

0.297872

0

0.010695

0

1

0.123404

false

0

0.021277

0.26383

0

null

0

null

0

1

0

1e1b9273cb258f7a0e738756926574a3a67347f3

648

py

Python

DataObjects/ClassMultiDict.py

icsa-caps/HieraGen

4026c1718878d2ef69dd13d3e6e10cab69174fda

[ "MIT" ]

6

2020-07-07T15:45:13.000Z

2021-08-29T06:44:29.000Z

DataObjects/ClassMultiDict.py

icsa-caps/HieraGen

4026c1718878d2ef69dd13d3e6e10cab69174fda

[ "MIT" ]

null

DataObjects/ClassMultiDict.py

icsa-caps/HieraGen

4026c1718878d2ef69dd13d3e6e10cab69174fda

[ "MIT" ]

null

class MultiDict(dict): def __setitem__(self, key, value): if key in self: if isinstance(self[key], list): val = self[key] if isinstance(value, list): val = val + value else: val.append(value) else...

29.454545

45

0.407407

59

648

4.338983

0.271186

0.136719

0.140625

0.246094

0.453125

0.257813

0

0.496914

648

21

46

30.857143

0.785276

0

0.4

0

1

0.05

false

0

0.1

0

null

0

1

0

null

0

1

1e1dafb5a95a9a832f3c83dbbe21c7e9367c6af2

1,538

py

Python

apps/live_discussion_sentiment.py

VaishnaviVV/Covid19_sentiment_analysis

6b6d0f76566bee1522eb69e407dc59d450e033b7

[ "MIT" ]

2

2021-04-13T06:12:59.000Z

2021-07-21T14:04:45.000Z

apps/live_discussion_sentiment.py

VaishnaviVV/Covid19_sentiment_analysis

6b6d0f76566bee1522eb69e407dc59d450e033b7

[ "MIT" ]

null

apps/live_discussion_sentiment.py

VaishnaviVV/Covid19_sentiment_analysis

6b6d0f76566bee1522eb69e407dc59d450e033b7

[ "MIT" ]

1

2021-06-19T09:06:38.000Z

#Essential Modules import pandas as pd import numpy as np import matplotlib.pyplot as plt #Dashboard Modules import dash import dash_table import dash_bootstrap_components as dbc import dash_core_components as dcc import dash_html_components as html import plotly.graph_objects as go from dash.dependencies import Inpu...

26.982456

82

0.702861

202

1,538

5.178218

0.490099

0.057361

0.028681

0.040153

0

0.013083

0.204811

1,538

56

83

27.464286

0.842191

0.104031

0

0.044444

0

0.112327

0

1

0.044444

false

0

0.511111

0.022222

0.6

0

null

0

null

0

1

0

1

0

2

1e1de33c28ddf64ae7dbf8f82938a19f029d7af5

1,768

py

Python

Lib/fontbakery/profiles/dsig.py

yellowsquid/fontbakery

3228e20d108726fc35bd0e09211e7ffe38559029

[ "Apache-2.0" ]

null

Lib/fontbakery/profiles/dsig.py

yellowsquid/fontbakery

3228e20d108726fc35bd0e09211e7ffe38559029

[ "Apache-2.0" ]

null

Lib/fontbakery/profiles/dsig.py

yellowsquid/fontbakery

3228e20d108726fc35bd0e09211e7ffe38559029

[ "Apache-2.0" ]

null

from fontbakery.callable import check from fontbakery.status import WARN, PASS from fontbakery.message import Message # used to inform get_module_profile whether and how to create a profile from fontbakery.fonts_profile import profile_factory # NOQA pylint: disable=unused-import @check( id = 'com.google.fonts/chec...

52

286

0.677036

243

1,768

4.893004

0.518519

0.037847

0.035324

0.063078

0.107653

0.068966

0

0.028986

0.258484

1,768

33

287

53.575758

0.877956

0.078054

0

0.074074

0.653112

0.016636

0

1

0.037037

false

0.074074

0.148148

0

0.185185

0

null

0

1

0

null

0

1

0

2

1e1f1f99e22282cac2d668c68acaa5cc5f58efad

961

py

Python

start_trouper.py

meltaxa/troupe

fbec6cec09ced6c29695a0741420cb61893134d3

[ "MIT" ]

28

2020-10-03T02:20:13.000Z

2021-11-12T11:26:23.000Z

start_trouper.py

meltaxa/troupe

fbec6cec09ced6c29695a0741420cb61893134d3

[ "MIT" ]

null

start_trouper.py

meltaxa/troupe

fbec6cec09ced6c29695a0741420cb61893134d3

[ "MIT" ]

7

2020-10-03T09:11:43.000Z

2021-01-29T06:45:46.000Z

#!/usr/bin/env python3 from slackbot.bot import Bot import logging import socket import uuid import os # If you are running multiple homeops bots on the same server enable # unique device names. unique_device_names = False if unique_device_names: os.environ['DEVICE_NAME'] = '{}-{}'.format(socket.gethostname(), ...

25.289474

75

0.651405

123

961

4.902439

0.504065

0.149254

0.084577

0.079602

0

0.002618

0.204995

961

37

76

25.972973

0.786649

0.190427

0

0.173127

0

1

0.041667

false

0

0.208333

0

0.25

0

null

0

null

0

1

0

1e1f6283140215b06df34b5565f0d75e854b79a7

943

py

Python

Aula01/Exercicio03.py

gabriel-correia0408/Sala_Green_GabrielCorreia

1d22f466d372786c5f8c8eaba7202844b5f03445

[ "Apache-2.0" ]

null

Aula01/Exercicio03.py

gabriel-correia0408/Sala_Green_GabrielCorreia

1d22f466d372786c5f8c8eaba7202844b5f03445

[ "Apache-2.0" ]

null

Aula01/Exercicio03.py

gabriel-correia0408/Sala_Green_GabrielCorreia

1d22f466d372786c5f8c8eaba7202844b5f03445

[ "Apache-2.0" ]

null

# Classe Circulo: Crie uma classe que modele uma bola: # # Atributos: Cor, raio, material # Métodos: trocaCor, mostraCor, area (math.pi*raio**2) # para acessar o pi: # import math # math.pi # Classe Quadrado: Crie uma classe que modele um quadrado: # # Atributos: Tamanho do lado # Métodos: Mudar valor do Lado, Retorna...

23.575

82

0.693531

134

943

4.828358

0.447761

0.032458

0.060278

0.074189

0.108192

0.074189

0

0.001364

0.222694

943

39

83

24.179487

0.88131

0.679745

0

0.272727

0

0.025641

0

1

0.363636

false

0.272727

0

0.454545

0

null

0

null

0

1

0

1

0

1

0

3

1e1fceddc66231ee1517373a6448d3a3f572702e

713

py

Python

test/jit/test_ivalue.py

YifanShenSZ/pytorch

b4232f7cbe407909f9d95b91304c73fdc4c66a50

[ "Intel" ]

null

test/jit/test_ivalue.py

YifanShenSZ/pytorch

b4232f7cbe407909f9d95b91304c73fdc4c66a50

[ "Intel" ]

null

test/jit/test_ivalue.py

YifanShenSZ/pytorch

b4232f7cbe407909f9d95b91304c73fdc4c66a50

[ "Intel" ]

null

# Owner(s): ["oncall: jit"] import os import sys import torch # Make the helper files in test/ importable pytorch_test_dir = os.path.dirname(os.path.dirname(os.path.realpath(__file__))) sys.path.append(pytorch_test_dir) from torch.testing._internal.jit_utils import JitTestCase if __name__ == "__main__": raise R...

25.464286

79

0.680224

101

713

4.594059

0.60396

0.038793

0.060345

0.064655

0.068966

0

0.003521

0.203366

713

27

80

26.407407

0.81338

0.137447

0

0.180033

0

1

0.111111

false

0

0.222222

0.055556

0.444444

0

null

0

null

0

1

0

1e2079ace258f371ce2dd6d8234af7c77fb15387

3,457

py

Python

12/common.py

KorotkiyEugene/dsp_sdr_basic

2aa4b22427b638f09c85948ccf442faba573a29f

[ "MIT" ]

7

2021-05-16T22:34:15.000Z

2022-02-19T17:19:32.000Z

12/common.py

KorotkiyEugene/dsp_sdr_basic

78a77736d0c33951d782f6889884633e4a42c5bd

[ "MIT" ]

null

12/common.py

KorotkiyEugene/dsp_sdr_basic

78a77736d0c33951d782f6889884633e4a42c5bd

[ "MIT" ]

null

import numpy as np import matplotlib.pyplot as plt import math from scipy.io.wavfile import read as read_wav from scipy.io.wavfile import write as write_wav from scipy.fftpack import fft, fftshift from scipy.signal import lfilter, firwin def filt(sig, Fc=0.5, NFIR=101): fir_taps = firwin(NFIR, Fc, window=('blackma...

30.06087

73

0.633497

552

3,457

3.766304

0.240942

0.034632

0.01924

0.027417

0.295334

0.190957

0.172679

0.113035

0

0.034642

0.248481

3,457

115

74

30.06087

0.765589

0.033844

0

0.155556

0

0.014984

0

1

0.1

false

0

0.077778

0

0.266667

0

null

0

null

0

1

0

1e2129baa188476cce9f545b130b193ede0c9647

6,829

py

Python

src/callback.py

modichirag/VI_reconstruction

64def5226a5723877a60943c29f592319bbe8e95

[ "MIT" ]

null

src/callback.py

modichirag/VI_reconstruction

64def5226a5723877a60943c29f592319bbe8e95

[ "MIT" ]

null

src/callback.py

modichirag/VI_reconstruction

64def5226a5723877a60943c29f592319bbe8e95

[ "MIT" ]

null

import numpy as np import matplotlib.pyplot as plt import sys, os sys.path.append('../../galference/utils/') import tools import diagnostics as dg def callback(model, ic, bs, losses=None): fig, ax = plt.subplots(1, 6, figsize=(15, 3)) im = ax[0].imshow(ic[0].sum(axis=0)) plt.colorbar(im, ax=ax[0]) ...

29.059574

100

0.542832

1,177

6,829

3.11215

0.117247

0.029484

0.026208

0.029484

0.681955

0.636637

0.633361

0.622441

0.618619

0.610975

0

0.066023

0.24147

6,829

234

101

29.183761

0.64112

0.017426

0

0.630435

0

0.035389

0.003434

0

1

0.021739

false

0

0.027174

0

0.070652

0.005435

0

null

0

1

0

null

0

1

1e233744186d29b648450453c95858ec334e1c71

3,769

py

Python

automix/config.py

MZehren/Automix

dfaa00a9e7c5c0938c0a9d275c07f3a3e5f87e43

[ "MIT" ]

18

2020-07-20T01:51:40.000Z

2022-02-25T07:32:11.000Z

automix/config.py

MZehren/Automix

dfaa00a9e7c5c0938c0a9d275c07f3a3e5f87e43

[ "MIT" ]

2

2021-03-23T03:26:02.000Z

2021-07-19T12:51:25.000Z

automix/config.py

MZehren/Automix

dfaa00a9e7c5c0938c0a9d275c07f3a3e5f87e43

[ "MIT" ]

5

2021-01-03T15:34:28.000Z

2022-02-22T06:07:06.000Z

""" TODO: Move the functions to the correct location """ import logging as log import os DATASET_LOCATION = "/home/mickael/Documents/programming/dj-tracks-switch-points/" CACHE_LOCATION = "../annotations/" CACHE_LEVEL = 0 LOG_LEVEL = log.DEBUG log.getLogger().setLevel(LOG_LEVEL) def k_fold_split(X, Y, k=10, shuffle...

33.353982

124

0.633059

495

3,769

4.763636

0.331313

0.017812

0.022053

0.025445

0.194656

0.148431

0.122986

0.067006

0.034775

0

0.008219

0.225259

3,769

112

125

33.651786

0.799315

0.215972

0

0.0625

0

0.083129

0.021045

0

0.008929

0.015625

1

0.109375

false

0

0.046875

0

0.328125

0

null

0

null

0

1

0

1e24d32a4b962928ad46fd58d2e17a25d1a7ba33

255

py

Python

old_fashioned_nlp/tagging/__init__.py

ChenghaoMou/old-fashioned-nlp

a88d510273d6f729274e0eab9242b6eb4e08c2a9

[ "MIT" ]

1

2020-10-27T21:16:54.000Z

old_fashioned_nlp/tagging/__init__.py

sleeplessindebugging/old-fashioned-nlp

a88d510273d6f729274e0eab9242b6eb4e08c2a9

[ "MIT" ]

null

old_fashioned_nlp/tagging/__init__.py

sleeplessindebugging/old-fashioned-nlp

a88d510273d6f729274e0eab9242b6eb4e08c2a9

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # @Update : 2020-09-05 09:46:01 # @Author : Chenghao Mou (mouchenghao@gmail.com) """Sequence taggers.""" from old_fashioned_nlp.tagging.token import CharTfidfTagger __all__ = ['CharTfidfTagger']

25.5

59

0.67451

32

255

5.1875

0.9375

0

0.070093

0.160784

255

10

60

25.5

0.705607

0.584314

0

0.153061

0

1

0

false

0

0.5

0

0.5

0

null

0

null

0

1

0

1

1e25a796cccb23405dd95548e2edaa9a7d0b72fc

2,342

py

Python

saleor/graphql/rider/mutations.py

WarHawk007/erocerytest

0f481e08012eaf2f9c987fc33d641deb8e335ba0

[ "CC-BY-4.0" ]

null

saleor/graphql/rider/mutations.py

WarHawk007/erocerytest

0f481e08012eaf2f9c987fc33d641deb8e335ba0

[ "CC-BY-4.0" ]

10

2021-02-02T22:55:05.000Z

2022-02-10T23:01:13.000Z

saleor/graphql/rider/mutations.py

WarHawk007/erocerytest

0f481e08012eaf2f9c987fc33d641deb8e335ba0

[ "CC-BY-4.0" ]

null

import graphene from django.conf import settings from django.core.exceptions import ValidationError from ...rider import models as rider_models from ...subshop import models as subshop_models from ...account import models as account_models from ..account.validation import isPhoneNumber, isCnic from ..core.mutations im...

40.37931

130

0.687874

278

2,342

5.708633

0.320144

0.05293

0.094518

0.075614

0.064272

0

0.002151

0.205807

2,342

57

131

41.087719

0.851075

0

0.106746

0

1

0.02

false

0.04

0.24

0

0.48

0

null

0

null

0

1

0

1e2739d879c1c382a8deb97538a12818514a90c7

953

py

Python

car_composite/utils.py

kerry-t-johnson/car-composite

ba39bed0883517a3884a1e68c8ab6522119eab4f

[ "Apache-2.0" ]

null

car_composite/utils.py

kerry-t-johnson/car-composite

ba39bed0883517a3884a1e68c8ab6522119eab4f

[ "Apache-2.0" ]

null

car_composite/utils.py

kerry-t-johnson/car-composite

ba39bed0883517a3884a1e68c8ab6522119eab4f

[ "Apache-2.0" ]

null

''' Copyright 2021 Kerry Johnson Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in ...

36.653846

75

0.698846

150

953

4.386667

0.593333

0.06383

0.039514

0.048632

0.039514

0

0.01745

0.218258

953

26

76

36.653846

0.865772

0.613851

0

0.054381

0

1

0.142857

false

0

0.142857

0

0.428571

0

null

0

null

0

1

0

1e27c0a9bf1d7f0cef71bafda66175150392e15d

166

py

Python

areas.py

cout/sm_terminal_tracker

e39567dd087aaca50c4d0aaf08fb63c623f4734e

[ "MIT" ]

1

2021-08-16T17:47:00.000Z

areas.py

cout/sm_terminal_tracker

e39567dd087aaca50c4d0aaf08fb63c623f4734e

[ "MIT" ]

null

areas.py

cout/sm_terminal_tracker

e39567dd087aaca50c4d0aaf08fb63c623f4734e

[ "MIT" ]

null

Areas = { 0x00: 'Crateria', 0x01: 'Brinstar', 0x02: 'Norfair', 0x03: 'WreckedShip', 0x04: 'Maridia', 0x05: 'Tourian', 0x06: 'Ceres', 0x07: 'Debug', }

15.090909

22

0.572289

17

166

5.588235

1

0

0.184615

0.216867

166

10

23

16.6

0.546154

0

0.349398

0

0.192771

0

1

0

false

0

1

0

null

0

null

0

1

1e27f18ab5ef993c02caa01656b29f1ecbe96024

11,458

py

Python

yegsecbot.py

jershmagersh/yegsecbot

147c1ad4e0bbf7688f55ee0075b9c03fddf4223c

[ "Apache-2.0" ]

1

2019-02-20T23:24:02.000Z

yegsecbot.py

jershmagersh/yegsecbot

147c1ad4e0bbf7688f55ee0075b9c03fddf4223c

[ "Apache-2.0" ]

null

yegsecbot.py

jershmagersh/yegsecbot

147c1ad4e0bbf7688f55ee0075b9c03fddf4223c

[ "Apache-2.0" ]

3

2019-02-20T01:43:10.000Z

2019-06-19T00:08:29.000Z

#!/usr/bin/python """ I wrote this in a couple afternoons while watching Netflix, so it can probably be better. -jmag """ from slackclient import SlackClient import sys, json, sqlite3, time, re, datetime MENTION_REGEX = "^<@(|[WU][A-Z0-9]+?)>(.*)" class ConfigException(Exception): pass class Connection...

42.913858

239

0.56598

1,399

11,458

4.514653

0.197284

0.036415

0.032299

0.032774

0.399145

0.332964

0.282932

0.224034

0.183977

0.180177

0

0.007467

0.322046

11,458

266

240

43.075188

0.805613

0.118258

0

0.328125

0

0.052083

0.194705

0.02057

0

1

0.083333

false

0.010417

0.182292

0.010417

0

null

0

null

0

1

0

1e29069e2cd68e343ce7e90b98d21551b24dc656

5,072

py

Python

workon/contrib/tracker/utils.py

devittek/django-workon

c39ddecac2649406a7a58922646478c5615d4cfd

[ "BSD-3-Clause" ]

1

2018-01-19T16:08:54.000Z

workon/contrib/tracker/utils.py

devittek/django-workon

c39ddecac2649406a7a58922646478c5615d4cfd

[ "BSD-3-Clause" ]

1

2020-07-06T08:35:18.000Z

workon/contrib/tracker/utils.py

devittek/django-workon

c39ddecac2649406a7a58922646478c5615d4cfd

[ "BSD-3-Clause" ]

4

2020-04-08T06:14:46.000Z

2020-12-11T14:28:06.000Z

from django.conf import settings __all__ = ['track'] if 'workon.contrib.tracker' not in settings.INSTALLED_APPS: def track(*args, **kwargs): raise Exception('workon.contrib.tracker missing from settings.INSTALLED_APPS') else: import time import datetime from operator import itemgetter ...

38.424242

124

0.522082

490

5,072

5.142857

0.244898

0.039683

0.040476

0.020238

0.159524

0.088889

0.050794

0

0.002917

0.391759

5,072

132

125

38.424242

0.813938

0.102918

0

0.179775

0

0.070789

0.019937

0

1

0.123596

false

0

0.101124

0.011236

0.303371

0

null

0

null

0

1

0