xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

b8949bc9b7149f521dbe7be12fc0a5b13b612894

160

py

Python

demo/4.custom-pricing/oscardemo/dashboard/catalogue/config.py

h3zTr0n/allstores

30644374819fa024be14d5bbace9aed0c3d092fc

[ "MIT" ]

34

2016-03-09T17:53:04.000Z

2021-01-17T05:24:58.000Z

demo/4.custom-pricing/oscardemo/dashboard/catalogue/config.py

h3zTr0n/allstores

30644374819fa024be14d5bbace9aed0c3d092fc

[ "MIT" ]

1

2017-02-06T01:36:22.000Z

2017-02-19T06:33:12.000Z

demo/4.custom-pricing/oscardemo/dashboard/catalogue/config.py

h3zTr0n/allstores

30644374819fa024be14d5bbace9aed0c3d092fc

[ "MIT" ]

16

2016-04-26T06:43:30.000Z

2020-07-07T00:17:54.000Z

from oscar.apps.dashboard.catalogue import config class CatalogueDashboardConfig(config.CatalogueDashboardConfig): name = 'oscardemo.dashboard.catalogue'

26.666667

64

0.83125

15

160

8.866667

0.733333

0.270677

0

0.09375

160

5

65

32

0.917241

0

0.18125

0

1

0

false

0

0.333333

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

b89f99f1b869825319883e613f0390d6fc5fdddf

177

py

Python

sender/setup.py

kaminski-pawel/send-emails

aff7b930754394ea72100ca9ec93362e198f0eda

[ "MIT" ]

null

sender/setup.py

kaminski-pawel/send-emails

aff7b930754394ea72100ca9ec93362e198f0eda

[ "MIT" ]

null

sender/setup.py

kaminski-pawel/send-emails

aff7b930754394ea72100ca9ec93362e198f0eda

[ "MIT" ]

null

import os from dotenv import load_dotenv from setuptools import setup, find_packages load_dotenv() setup(name='sender', version=os.getenv('VERSION'), packages=find_packages())

25.285714

76

0.80226

25

177

5.52

0.52

0.144928

0

0.090395

177

6

77

29.5

0.857143

0

0.073446

0

1

0

true

0

0.6

0

0.6

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b8c5001c4d84243bb8d5593bf5f25e3b64a431d3

38

py

Python

examples/hello3.py

mcandre/stank

6992b8a0281cee8b24affa91e83daa7d79ea82f4

[ "BSD-2-Clause-FreeBSD" ]

49

2017-08-10T12:53:33.000Z

2022-03-04T23:52:48.000Z

examples/hello3.py

mcandre/stank

6992b8a0281cee8b24affa91e83daa7d79ea82f4

[ "BSD-2-Clause-FreeBSD" ]

108

2017-08-10T18:55:48.000Z

2021-09-23T01:32:06.000Z

examples/hello3.py

mcandre/stank

6992b8a0281cee8b24affa91e83daa7d79ea82f4

[ "BSD-2-Clause-FreeBSD" ]

null

#!/usr/bin/env python3 print("Hello")

12.666667

22

0.684211

6

38

4.333333

1

0

0.028571

0.078947

38

2

23

19

0.714286

0.552632

0

0.3125

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

b2259b60b1ecf57dbf639e376f3590a6400efcbf

68

py

Python

Assignment/cool.py

vitorgt/SSC0142

ad721aec1c708c9782e8eacc0958178bc1543df5

[ "MIT" ]

null

Assignment/cool.py

vitorgt/SSC0142

ad721aec1c708c9782e8eacc0958178bc1543df5

[ "MIT" ]

null

Assignment/cool.py

vitorgt/SSC0142

ad721aec1c708c9782e8eacc0958178bc1543df5

[ "MIT" ]

null

#!/usr/bin/python3 import actuator actuator.Actuator("COOL", 1.5)

11.333333

30

0.720588

10

68

4.9

0.8

0.653061

0

0.04918

0.102941

68

5

31

13.6

0.754098

0.25

0

0.08

0

1

0

true

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

b2292344f56b24c54c9727193a6e508aacfb8143

590

py

Python

rest_admin/core/serializers.py

avsd/django-rest-admin

8aaf00b36d3caed70fb81d24f939b7ee88ef9c1c

[ "BSD-3-Clause" ]

2

2016-03-17T20:59:52.000Z

2016-05-15T00:20:02.000Z

rest_admin/core/serializers.py

avsd/django-rest-admin

8aaf00b36d3caed70fb81d24f939b7ee88ef9c1c

[ "BSD-3-Clause" ]

1

2017-04-12T23:40:24.000Z

2017-04-13T03:52:16.000Z

rest_admin/core/serializers.py

avsd/django-rest-admin

8aaf00b36d3caed70fb81d24f939b7ee88ef9c1c

[ "BSD-3-Clause" ]

null

from rest_framework import serializers class ModelAdminSerializer(serializers.Serializer): """Serializes instance of model with request-specific permissions.""" name = serializers.CharField() object_name = serializers.CharField() # TODO: Deprecated model_name = serializers.CharField() perms = serializers.DictField() class AdminAppSerializer(serializers.Serializer): """Serializes instance of Django app (with list of models inside it).""" name = serializers.CharField() app_label = serializers.CharField() models = ModelAdminSerializer(many=True)

34.705882

76

0.752542

59

590

7.457627

0.559322

0.227273

0.218182

0.177273

0.186364

0

0.154237

590

16

77

36.875

0.881764

0.250847

0

0.2

0

0.0625

0

1

0

false

0

0.1

0

1

0

null

1

0

null

0

1

0

1

0

5

b25aaa15b37df294f000164548e3a40d9d2d11bf

34

py

Python

emencia_paste_djangocms_2/django_buildout/project/utils/models.py

emencia/emencia_paste_djangocms_2

23bc97aef2f235f1be1fc5ba8ffce53064a5b6ca

[ "MIT" ]

1

2015-01-17T21:38:50.000Z

emencia_paste_djangocms_3/django_buildout/project/utils/models.py

emencia/emencia_paste_djangocms_3

29eabbcb17e21996a6e1d99592fc719dc8833b59

[ "MIT" ]

5

2015-01-28T15:51:02.000Z

2015-03-16T15:51:15.000Z

emencia_paste_djangocms_2/django_buildout/project/utils/models.py

emencia/emencia_paste_djangocms_2

23bc97aef2f235f1be1fc5ba8ffce53064a5b6ca

[ "MIT" ]

null

# This app does not have any model

34

0.764706

7

34

3.714286

1

0

0.205882

34

1

34

0.962963

0.941176

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

b2667d5975fe76ab0a8c07cfef4d27a10fc3561d

27

py

Python

mincall/eval/__init__.py

nmiculinic/minion-basecaller

73a134c8ed3715e79319780e24a171dd21713408

[ "MIT" ]

7

2017-07-13T15:08:16.000Z

2021-04-24T16:39:11.000Z

mincall/eval/__init__.py

nmiculinic/minion-basecaller

73a134c8ed3715e79319780e24a171dd21713408

[ "MIT" ]

4

2018-01-09T13:50:57.000Z

2020-07-15T15:33:35.000Z

mincall/eval/__init__.py

nmiculinic/minion-basecaller

73a134c8ed3715e79319780e24a171dd21713408

[ "MIT" ]

1

2018-03-24T22:48:25.000Z

from .eval import add_args

13.5

26

0.814815

5

27

4.2

1

0

0.148148

27

1

27

0.913043

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

b2acd47ac7d46672c6c5916baa828af50d68a1b7

338

py

Python

nighres/laminar/__init__.py

JuliaHuck/nighres

9f3bd14d5ad27cc44f04569c791c8543819a1795

[ "Apache-2.0" ]

null

nighres/laminar/__init__.py

JuliaHuck/nighres

9f3bd14d5ad27cc44f04569c791c8543819a1795

[ "Apache-2.0" ]

null

nighres/laminar/__init__.py

JuliaHuck/nighres

9f3bd14d5ad27cc44f04569c791c8543819a1795

[ "Apache-2.0" ]

null

from nighres.laminar.volumetric_layering import volumetric_layering from nighres.laminar.profile_sampling import profile_sampling from nighres.laminar.profile_averaging import profile_averaging from nighres.laminar.profile_meshing import profile_meshing from nighres.laminar.laminar_iterative_smoothing import laminar_iterative_smoothing

56.333333

83

0.911243

42

338

7.047619

0.285714

0.185811

0.304054

0.253378

0

0.059172

338

5

84

67.6

0.930818

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

a236f22d77de01d82d1307909dee08ba91db7bf6

295

py

Python

web_frontend/condor_copasi_db/admin.py

Nucleoos/condor-copasi

dcf069cfdb7ce9a5198b5fd495f98fa6433310ca

[ "Artistic-2.0" ]

3

2020-09-11T13:06:52.000Z

2022-02-21T15:03:17.000Z

web_frontend/condor_copasi_db/admin.py

Nucleoos/condor-copasi

dcf069cfdb7ce9a5198b5fd495f98fa6433310ca

[ "Artistic-2.0" ]

null

web_frontend/condor_copasi_db/admin.py

Nucleoos/condor-copasi

dcf069cfdb7ce9a5198b5fd495f98fa6433310ca

[ "Artistic-2.0" ]

2

2016-10-17T00:22:23.000Z

2021-12-20T13:12:54.000Z

from django.contrib import admin from web_frontend.condor_copasi_db.models import * admin.site.register(Job) admin.site.register(CondorJob) #Hide the 'group' field from the admin site from django.contrib.auth.models import Group from django.contrib import admin admin.site.unregister(Group)

26.818182

50

0.816949

45

295

5.288889

0.466667

0.151261

0.214286

0.193277

0.235294

0

0.105085

295

10

51

29.5

0.901515

0.142373

0

0.285714

0

1

0

true

0

0.571429

0

0.571429

0

null

0

1

0

null

0

1

0

1

0

1

0

5

a23cd3310e197629ca82eff7c0278e71c14056d5

32

py

Python

dasladen/__main__.py

pagotti/dasladen

75bb384a2048619bd8fe5dd4588cb438dc02e589

[ "MIT" ]

2

2020-06-01T09:34:45.000Z

2021-03-16T15:42:30.000Z

dasladen/__main__.py

pagotti/dasladen

75bb384a2048619bd8fe5dd4588cb438dc02e589

[ "MIT" ]

2

2021-04-20T16:45:46.000Z

2021-07-02T15:48:46.000Z

dasladen/__main__.py

pagotti/dasladen

75bb384a2048619bd8fe5dd4588cb438dc02e589

[ "MIT" ]

2

2020-04-17T23:28:30.000Z

2020-06-01T09:37:56.000Z

from . import base base.main()

8

18

0.6875

5

32

4.4

0.8

0

0.1875

32

3

19

10.666667

0.846154

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

a25a9c973cb1847d1dae92b0a54a00fb70b36da9

34

py

Python

tests/chef_pytestt.py

jcewbank/chef

aa2a2fa55dfda0500544636da4247ee498616d7c

[ "MIT" ]

null

tests/chef_pytestt.py

jcewbank/chef

aa2a2fa55dfda0500544636da4247ee498616d7c

[ "MIT" ]

null

tests/chef_pytestt.py

jcewbank/chef

aa2a2fa55dfda0500544636da4247ee498616d7c

[ "MIT" ]

null

from chef import chef as fut fut.

11.333333

28

0.764706

7

34

3.714286

0.714286

0

0.205882

34

3

29

11.333333

0.962963

0

null

0

0.5

null

0

1

0

null

0

1

0

null

0

1

0

1

0

5

a2842165bd7c594cb9d1f0bd9f2c0f3fa39eed53

107

py

Python

src/__init__.py

char-lie/software_design

8784cc5f4dea1e1290f8e3ea0425677d1cbeb273

[ "MIT" ]

null

src/__init__.py

char-lie/software_design

8784cc5f4dea1e1290f8e3ea0425677d1cbeb273

[ "MIT" ]

4

2016-02-23T14:27:43.000Z

2016-02-24T19:08:46.000Z

src/__init__.py

char-lie/software_design

8784cc5f4dea1e1290f8e3ea0425677d1cbeb273

[ "MIT" ]

null

from TransactionManager import TransactionManager import utils __all__ = ['TransactionManager', 'utils']

17.833333

49

0.813084

9

107

9.222222

0.555556

0.578313

0

0.11215

107

5

50

21.4

0.873684

0

0.216981

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

a28bb23978b3be58fff9b39c0fe3370c3b50ca97

6,606

py

Python

imcsdk/mometa/kmip/KmipServer.py

vadimkuznetsov/imcsdk

ed038ce1dbc8031f99d2dfb3ccee3bf0b48309d8

[ "Apache-2.0" ]

null

imcsdk/mometa/kmip/KmipServer.py

vadimkuznetsov/imcsdk

ed038ce1dbc8031f99d2dfb3ccee3bf0b48309d8

[ "Apache-2.0" ]

null

imcsdk/mometa/kmip/KmipServer.py

vadimkuznetsov/imcsdk

ed038ce1dbc8031f99d2dfb3ccee3bf0b48309d8

[ "Apache-2.0" ]

1

2019-11-10T18:42:04.000Z

"""This module contains the general information for KmipServer ManagedObject.""" from ...imcmo import ManagedObject from ...imccoremeta import MoPropertyMeta, MoMeta from ...imcmeta import VersionMeta class KmipServerConsts: ADMIN_ACTION_DELETE = "delete" ADMIN_ACTION_TEST_CONNECTION = "test-connection" class KmipServer(ManagedObject): """This is KmipServer class.""" consts = KmipServerConsts() naming_props = set([u'id']) mo_meta = { "classic": MoMeta("KmipServer", "kmipServer", "kmip-server-[id]", VersionMeta.Version302b, "InputOutput", 0x1ff, [], ["admin", "read-only", "user"], [u'kmipManagement'], [], ["Get", "Set"]), "modular": MoMeta("KmipServer", "kmipServer", "kmip-server-[id]", VersionMeta.Version303a, "InputOutput", 0x1ff, [], ["admin", "read-only", "user"], [u'kmipManagement'], [], ["Get", "Set"]) } prop_meta = { "classic": { "admin_action": MoPropertyMeta("admin_action", "adminAction", "string", VersionMeta.Version302b, MoPropertyMeta.READ_WRITE, 0x2, 0, 510, None, ["delete", "test-connection"], []), "child_action": MoPropertyMeta("child_action", "childAction", "string", VersionMeta.Version302b, MoPropertyMeta.INTERNAL, None, None, None, None, [], []), "dn": MoPropertyMeta("dn", "dn", "string", VersionMeta.Version302b, MoPropertyMeta.READ_WRITE, 0x4, 0, 255, None, [], []), "id": MoPropertyMeta("id", "id", "string", VersionMeta.Version302b, MoPropertyMeta.NAMING, 0x8, 0, 510, None, [], ["1-2"]), "ip_address": MoPropertyMeta("ip_address", "ipAddress", "string", VersionMeta.Version302b, MoPropertyMeta.READ_WRITE, 0x10, 0, 255, r"""(([0-9A-Fa-f]{1,4}:([0-9A-Fa-f]{1,4}:([0-9A-Fa-f]{1,4}:([0-9A-Fa-f]{1,4}:([0-9A-Fa-f]{1,4}:[0-9A-Fa-f]{0,4}|:[0-9A-Fa-f]{1,4})?|(:[0-9A-Fa-f]{1,4}){0,2})|(:[0-9A-Fa-f]{1,4}){0,3})|(:[0-9A-Fa-f]{1,4}){0,4})|:(:[0-9A-Fa-f]{1,4}){0,5})((:[0-9A-Fa-f]{1,4}){2}|:(25[0-5]|(2[0-4]|1[0-9]|[1-9])?[0-9])(\.(25[0-5]|(2[0-4]|1[0-9]|[1-9])?[0-9])){3})|(([0-9A-Fa-f]{1,4}:){1,6}|:):[0-9A-Fa-f]{0,4}|([0-9A-Fa-f]{1,4}:){7}:) |((([a-zA-Z0-9]([a-zA-Z0-9\-]{0,61}[a-zA-Z0-9])?\.)+[a-zA-Z]{2,6})|(([a-zA-Z0-9]([a-zA-Z0-9\-]{0,61}[a-zA-Z0-9])?)+)|([1-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\.([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\.([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\.([1-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5]))""", [], []), "port": MoPropertyMeta("port", "port", "uint", VersionMeta.Version302b, MoPropertyMeta.READ_WRITE, 0x20, None, None, None, [], ["1-65535"]), "rn": MoPropertyMeta("rn", "rn", "string", VersionMeta.Version302b, MoPropertyMeta.READ_WRITE, 0x40, 0, 255, None, [], []), "status": MoPropertyMeta("status", "status", "string", VersionMeta.Version302b, MoPropertyMeta.READ_WRITE, 0x80, None, None, None, ["", "created", "deleted", "modified", "removed"], []), "test_connction_status": MoPropertyMeta("test_connction_status", "testConnctionStatus", "string", VersionMeta.Version302b, MoPropertyMeta.READ_ONLY, None, 0, 510, None, [], []), "timeout": MoPropertyMeta("timeout", "timeout", "uint", VersionMeta.Version302b, MoPropertyMeta.READ_WRITE, 0x100, None, None, None, [], ["0-250"]), }, "modular": { "admin_action": MoPropertyMeta("admin_action", "adminAction", "string", VersionMeta.Version303a, MoPropertyMeta.READ_WRITE, 0x2, 0, 510, None, ["delete", "test-connection"], []), "child_action": MoPropertyMeta("child_action", "childAction", "string", VersionMeta.Version303a, MoPropertyMeta.INTERNAL, None, None, None, None, [], []), "dn": MoPropertyMeta("dn", "dn", "string", VersionMeta.Version303a, MoPropertyMeta.READ_WRITE, 0x4, 0, 255, None, [], []), "id": MoPropertyMeta("id", "id", "string", VersionMeta.Version303a, MoPropertyMeta.NAMING, 0x8, 0, 510, None, [], ["1-2"]), "ip_address": MoPropertyMeta("ip_address", "ipAddress", "string", VersionMeta.Version303a, MoPropertyMeta.READ_WRITE, 0x10, 0, 255, r"""([0-9A-Fa-f]{1,4}:([0-9A-Fa-f]{1,4}:([0-9A-Fa-f]{1,4}:([0-9A-Fa-f]{1,4}:([0-9A-Fa-f]{1,4}:[0-9A-Fa-f]{0,4}|:[0-9A-Fa-f]{1,4})?|(:[0-9A-Fa-f]{1,4}){0,2})|(:[0-9A-Fa-f]{1,4}){0,3})|(:[0-9A-Fa-f]{1,4}){0,4})|:(:[0-9A-Fa-f]{1,4}){0,5})((:[0-9A-Fa-f]{1,4}){2}|:(25[0-5]|(2[0-4]|1[0-9]|[1-9])?[0-9])(\.(25[0-5]|(2[0-4]|1[0-9]|[1-9])?[0-9])){3})|(([0-9A-Fa-f]{1,4}:){1,6}|:):[0-9A-Fa-f]{0,4}|([0-9A-Fa-f]{1,4}:){7}:""", [], []), "port": MoPropertyMeta("port", "port", "uint", VersionMeta.Version303a, MoPropertyMeta.READ_WRITE, 0x20, None, None, None, [], ["1-65535"]), "rn": MoPropertyMeta("rn", "rn", "string", VersionMeta.Version303a, MoPropertyMeta.READ_WRITE, 0x40, 0, 255, None, [], []), "status": MoPropertyMeta("status", "status", "string", VersionMeta.Version303a, MoPropertyMeta.READ_WRITE, 0x80, None, None, None, ["", "created", "deleted", "modified", "removed"], []), "test_connction_status": MoPropertyMeta("test_connction_status", "testConnctionStatus", "string", VersionMeta.Version303a, MoPropertyMeta.READ_ONLY, None, 0, 510, None, [], []), "timeout": MoPropertyMeta("timeout", "timeout", "uint", VersionMeta.Version303a, MoPropertyMeta.READ_WRITE, 0x100, None, None, None, [], ["0-250"]), }, } prop_map = { "classic": { "adminAction": "admin_action", "childAction": "child_action", "dn": "dn", "id": "id", "ipAddress": "ip_address", "port": "port", "rn": "rn", "status": "status", "testConnctionStatus": "test_connction_status", "timeout": "timeout", }, "modular": { "adminAction": "admin_action", "childAction": "child_action", "dn": "dn", "id": "id", "ipAddress": "ip_address", "port": "port", "rn": "rn", "status": "status", "testConnctionStatus": "test_connction_status", "timeout": "timeout", }, } def __init__(self, parent_mo_or_dn, id, **kwargs): self._dirty_mask = 0 self.id = id self.admin_action = None self.child_action = None self.ip_address = None self.port = None self.status = None self.test_connction_status = None self.timeout = None ManagedObject.__init__(self, "KmipServer", parent_mo_or_dn, **kwargs)

67.408163

897

0.570845

886

6,606

4.170429

0.123025

0.024357

0.040595

0.048714

0.813261

0.807307

0.742625

0.716103

0.681461

0.657645

0

0.089956

0.177112

6,606

97

898

68.103093

0.589772

0.015138

0

0.315789

0

0.026316

0.368032

0.195257

0

0.010779

0

1

0.013158

false

0

0.039474

0

0.171053

0

null

0

1

0

1

0

null

0

5

a2908f0ca2a66c391f9d55b98ef9a640e3abdd11

4,650

py

Python

tests/unit/dataactvalidator/test_fabs37_detached_award_financial_assistance_2.py

COEJKnight/one

6a5f8cd9468ab368019eb2597821b7837f74d9e2

[ "CC0-1.0" ]

1

2018-10-29T12:54:44.000Z

tests/unit/dataactvalidator/test_fabs37_detached_award_financial_assistance_2.py

COEJKnight/one

6a5f8cd9468ab368019eb2597821b7837f74d9e2

[ "CC0-1.0" ]

null

tests/unit/dataactvalidator/test_fabs37_detached_award_financial_assistance_2.py

COEJKnight/one

6a5f8cd9468ab368019eb2597821b7837f74d9e2

[ "CC0-1.0" ]

null

from tests.unit.dataactcore.factories.staging import DetachedAwardFinancialAssistanceFactory from dataactcore.models.domainModels import CFDAProgram from tests.unit.dataactvalidator.utils import number_of_errors, query_columns _FILE = 'fabs37_detached_award_financial_assistance_2' def test_column_headers(database): expected_subset = {"row_number", "cfda_number", "action_date", "action_type", "correction_late_delete_ind"} actual = set(query_columns(_FILE, database)) assert expected_subset == actual def test_pubished_date_success(database): """ Test valid. For (ActionType = B, C, or D), the CFDA_Number need NOT be active as of the ActionDate. Not apply to those with CorrectionLateDeleteIndicator = C. Active date: publish_date <= action_date <= archive_date (Fails validation if active). """ cfda = CFDAProgram(program_number=12.340, published_date="20130427", archived_date="") det_award_1 = DetachedAwardFinancialAssistanceFactory(cfda_number="12.340", action_date='20140528', action_type='B', correction_late_delete_ind="B") det_award_2 = DetachedAwardFinancialAssistanceFactory(cfda_number="12.340", action_date='20140428', action_type='C', correction_late_delete_ind="D") det_award_3 = DetachedAwardFinancialAssistanceFactory(cfda_number="12.340", action_date='20140428', action_type='D', correction_late_delete_ind=None) errors = number_of_errors(_FILE, database, models=[det_award_1, det_award_2, det_award_3, cfda]) assert errors == 0 cfda = CFDAProgram(program_number=12.340, published_date="20130427", archived_date="20140427") det_award_1 = DetachedAwardFinancialAssistanceFactory(cfda_number="12.340", action_date='20130528', action_type='B', correction_late_delete_ind="B") det_award_2 = DetachedAwardFinancialAssistanceFactory(cfda_number="12.340", action_date='20130428', action_type='C', correction_late_delete_ind="D") det_award_3 = DetachedAwardFinancialAssistanceFactory(cfda_number="12.340", action_date='20130428', action_type='D', correction_late_delete_ind=None) errors = number_of_errors(_FILE, database, models=[det_award_1, det_award_2, det_award_3, cfda]) assert errors == 0 def test_pubished_date_failure(database): """ Test invalid. For (ActionType = B, C, or D), the CFDA_Number need NOT be active as of the ActionDate. Not apply to those with CorrectionLateDeleteIndicator = C. Active date: publish_date <= action_date <= archive_date (Fails validation if active). If action date is < published_date, should trigger a warning. """ cfda = CFDAProgram(program_number=12.340, published_date="20130427", archived_date="") det_award_1 = DetachedAwardFinancialAssistanceFactory(cfda_number="12.340", action_date='20120528', action_type='B', correction_late_delete_ind="B") det_award_2 = DetachedAwardFinancialAssistanceFactory(cfda_number="12.340", action_date='20120427', action_type='C', correction_late_delete_ind="D") det_award_3 = DetachedAwardFinancialAssistanceFactory(cfda_number="12.340", action_date='20120428', action_type='D', correction_late_delete_ind=None) errors = number_of_errors(_FILE, database, models=[det_award_1, det_award_2, det_award_3, cfda]) assert errors == 3 cfda = CFDAProgram(program_number=12.340, published_date="20130427", archived_date="20140528") det_award_1 = DetachedAwardFinancialAssistanceFactory(cfda_number="12.340", action_date='20120528', action_type='B', correction_late_delete_ind="B") det_award_2 = DetachedAwardFinancialAssistanceFactory(cfda_number="12.340", action_date='20150427', action_type='C', correction_late_delete_ind="D") det_award_3 = DetachedAwardFinancialAssistanceFactory(cfda_number="12.340", action_date='20150428', action_type='D', correction_late_delete_ind=None) errors = number_of_errors(_FILE, database, models=[det_award_1, det_award_2, det_award_3, cfda]) assert errors == 3

69.402985

111

0.664516

513

4,650

5.670565

0.191033

0.066002

0.060502

0.102784

0.791337

0

0.072608

0.244731

4,650

66

112

70.454545

0.755695

0.119355

0

0.521739

0

0.086558

0.017361

0

0.108696

1

0.065217

false

0

0.065217

0

0.130435

0

null

0

1

0

null

0

5

a29c2b2ee5f89cac5107df2b25ca5dfac920eb38

284

py

Python

python/graphscope/experimental/nx/tests/algorithms/forward/test_cluster.py

wenyuanyu/GraphScope

a40ccaf70557e608d8b091eb25ab04477f99ce21

[ "Apache-2.0" ]

2

2020-12-15T08:42:10.000Z

2022-01-14T09:13:16.000Z

python/graphscope/experimental/nx/tests/algorithms/forward/test_cluster.py

wenyuanyu/GraphScope

a40ccaf70557e608d8b091eb25ab04477f99ce21

[ "Apache-2.0" ]

1

2020-12-22T13:15:40.000Z

python/graphscope/experimental/nx/tests/algorithms/forward/test_cluster.py

wenyuanyu/GraphScope

a40ccaf70557e608d8b091eb25ab04477f99ce21

[ "Apache-2.0" ]

1

2021-11-23T03:40:43.000Z

import networkx.algorithms.tests.test_cluster import pytest from graphscope.experimental.nx.utils.compat import import_as_graphscope_nx import_as_graphscope_nx(networkx.algorithms.tests.test_cluster, decorators=pytest.mark.usefixtures("graphscope_session"))

35.5

81

0.802817

34

284

6.441176

0.529412

0.164384

0.210046

0.246575

0.310502

0

0.126761

284

7

82

40.571429

0.883065

0

0.06338

0

1

0

true

0

0.8

0

0.8

0

null

0

1

0

1

0

null

0

1

0

1

0

5

a2d31d7a292453267c89f4871b76f2ff15a99dda

308

py

Python

teste.py

felipegarciamf/ES-17-2

60bb5b2215a31a15e3cf4c02beaf65eb673c62ec

[ "Apache-2.0" ]

null

teste.py

felipegarciamf/ES-17-2

60bb5b2215a31a15e3cf4c02beaf65eb673c62ec

[ "Apache-2.0" ]

6

2019-08-01T02:43:04.000Z

2019-08-01T03:03:32.000Z

teste.py

felipegarciamf/ES-17-2

60bb5b2215a31a15e3cf4c02beaf65eb673c62ec

[ "Apache-2.0" ]

null

import pytest from principal import somar from principal import sub def test_somar(): """ docstring for test somar""" assert somar(2, 3)==5 def test_sub(): """ docstring for test subtrair """ assert sub(2,2)==0 def test_mult(): """ docstring for test mult """ assert mult(2,3)==6

18.117647

39

0.642857

46

308

4.23913

0.391304

0.107692

0.246154

0

0.0375

0.220779

308

16

40

19.25

0.775

0.25

0

0.333333

1

0.333333

true

0

0.333333

0

0.666667

0

null

0

1

0

null

0

1

0

1

0

1

0

5

a2e53f68110fead4e033d2c7f1b3081579a56e02

200

py

Python

venv/Lib/site-packages/tools37/actions/Action.py

GabrielAmare/Darts

182748d821b8c1838071f3b28724d0d9b095dcf9

[ "MIT" ]

null

venv/Lib/site-packages/tools37/actions/Action.py

GabrielAmare/Darts

182748d821b8c1838071f3b28724d0d9b095dcf9

[ "MIT" ]

null

venv/Lib/site-packages/tools37/actions/Action.py

GabrielAmare/Darts

182748d821b8c1838071f3b28724d0d9b095dcf9

[ "MIT" ]

null

class Action: def do(self) -> None: raise NotImplementedError def undo(self) -> None: raise NotImplementedError def redo(self) -> None: raise NotImplementedError

20

33

0.63

20

200

6.3

0.5

0.190476

0.309524

0.761905

0.555556

0

0.29

200

9

34

22.222222

0.887324

0

0.428571

0

1

0.428571

false

0

0.571429

0

1

0

null

0

1

0

1

0

null

0

1

0

5

0c14b1456a2f702d0f316ecc68963d39441e99ea

85

py

Python

codegen/generator/browser/__init__.py

fangyi-zhou/TypeScript-Multiparty-Sessions

216ae5806fc9d901086e8e773ef241fc9848c544

[ "MIT" ]

4

2020-09-09T12:40:17.000Z

2021-12-05T21:43:49.000Z

codegen/generator/browser/__init__.py

fangyi-zhou/TypeScript-Multiparty-Sessions

216ae5806fc9d901086e8e773ef241fc9848c544

[ "MIT" ]

19

2020-03-31T08:11:47.000Z

2022-02-27T11:13:47.000Z

codegen/generator/browser/__init__.py

fangyi-zhou/TypeScript-Multiparty-Sessions

216ae5806fc9d901086e8e773ef241fc9848c544

[ "MIT" ]

2

2020-04-15T14:45:12.000Z

2021-01-13T13:54:15.000Z

from codegen.generator.browser.browser_codegen_strategy import BrowserCodegenStrategy

85

0.929412

9

85

8.555556

0.777778

0

0.035294

85

1

85

0.939024

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

0c177fa0e38b1c22c9362dabe50ec7d3d5c22ddc

42

py

Python

twitterwall/__main__.py

johnTheSloth/TwitterWall

a0938b466f72caaf8e742bea7713f87fc59d1743

[ "CC0-1.0" ]

null

twitterwall/__main__.py

johnTheSloth/TwitterWall

a0938b466f72caaf8e742bea7713f87fc59d1743

[ "CC0-1.0" ]

null

twitterwall/__main__.py

johnTheSloth/TwitterWall

a0938b466f72caaf8e742bea7713f87fc59d1743

[ "CC0-1.0" ]

null

from .twitterwallCore import main main()

10.5

33

0.785714

5

42

6.6

0.8

0

0.142857

42

3

34

14

0.916667

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

0c317a1cfb41845131e321038e75787a936dae6e

119

py

Python

zeroservices/services/__init__.py

Lothiraldan/ZeroServices

c6b0bdf755be6bcc0ff6070aabcfb36f0e4c2f37

[ "MIT" ]

21

2015-01-31T17:45:42.000Z

2017-11-12T05:02:44.000Z

zeroservices/services/__init__.py

Lothiraldan/ZeroServices

c6b0bdf755be6bcc0ff6070aabcfb36f0e4c2f37

[ "MIT" ]

7

2015-01-07T09:52:06.000Z

2015-02-01T00:59:35.000Z

zeroservices/services/__init__.py

Lothiraldan/ZeroServices

c6b0bdf755be6bcc0ff6070aabcfb36f0e4c2f37

[ "MIT" ]

2

2017-06-29T19:40:42.000Z

2019-06-01T12:18:56.000Z

from .http_interface import get_http_interface, BasicAuth from .http_client import BaseHTTPClient, BasicAuthHTTPClient

39.666667

60

0.882353

14

119

7.214286

0.642857

0.158416

0

0.084034

119

2

61

59.5

0.926606

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

0c36315dcbf42c426b6de225e29b6ed73f2364a6

4,848

py

Python

backend/app/utils/config.py

aidoraide/react-flask-postgres-boilerplate-with-docker

901cdbbd8d86df38a24adf48a5570dca655935ca

[ "Apache-2.0" ]

null

backend/app/utils/config.py

aidoraide/react-flask-postgres-boilerplate-with-docker

901cdbbd8d86df38a24adf48a5570dca655935ca

[ "Apache-2.0" ]

null

backend/app/utils/config.py

aidoraide/react-flask-postgres-boilerplate-with-docker

901cdbbd8d86df38a24adf48a5570dca655935ca

[ "Apache-2.0" ]

null

import os class DevConfig(object): DEBUG = True TESTING = True SQLALCHEMY_DATABASE_URI = 'postgresql+psycopg2://dev:mypassword@db/application' SQLALCHEMY_TRACK_MODIFICATIONS = False JWT_PRIVATE_KEY = """ -----BEGIN RSA PRIVATE KEY----- MIIJJwIBAAKCAgEA0l5r3gFotNNKg7N7tikj8umiMnznIEE/QbreCIvU2o4jHlck jLRqfiBEf+I/795Ve2Uewcd7qq14FtZZ6PdbW+3kGZUn5Ox8LChS/RWdeLSkVQCN NJEO+oMTFqhKujJV7DWmPknDkFzBmYuCtYFm1yaSimH1G4kF+Z0i7RATngwGRCxC RstSd2jAACVlpkztCUTVo8uWSHC0odPBIPC32pgRu7zSR0UWKXW4Rqbbh427j6X8 3sjQept5tI6tdWgQdThVaGTdpelTpyc9EfeoIM+E8bH6kjKwmjzZcOF6iZ81CiZo JRhFINlP4Lpaxtd/8jSfbdJLdIL38qRDCEBNK3Htwt+i6rm1WD+WkLjMDH4l88M2 lhx0aOLMPYeVF8euD/1KoHFcPbUtUOQq87inAw20GWO2GQp0Kz6jDmbYQHW0V2xc 6kvvzI5TMW7kgQhNwb71/HEEgdv+JqFz2XDwFbkbBrCn5Ko5VrmIksZtEBE7Zgmb MUMdfrLwzxcHdm/Tuw/Y7ljmCf6qLZtskH/vEHd1PdSj2WIECrXTAjNO0qO+vSXK yWsY9TurEENQDA9F7yLf5Mm+jhnTiOcgBXBYjh41UXJZ2vO39Dp/D1lwmyjfSg/L /VqD/T5fwVaay9mvm3Mxjr90DNdRvu28oDpPJ6Rh1yVHtKocQBpQxS9HVGMCAwEA AQKCAgAqJXSi89FQeQxyumDMrA1hu2EdkFyV37yWpKObPriUWOm8SGUwM20qe7h9 joyUuAyUPjwdQqQKG9r1aFh3DielkVGjtnhZqu9twV5vCgeUiUxrI0MnBvDjS6Nl ZK4kA7WnL1BxJkIiCBNZedPkHVrHPBkb1GhQ7fDeg5bdu9zSS0JuIhfdKxsIhVoC LXviB4Nt2fabbExdkwb9bPlCajfLebAD1t6iHLtF7ynOLdvJmqG7M9wnnj/2cHO/ st4ZqZGyimjCE4M8nDSARqI7mUx71leiPLAg3jr3i71cmi/8poLv16YB2Izw+djB A1TwhXhCxDw0um8Xlq2qVTKA0rEi5+XSjGwfH+GSXsKKnI1W7+imWfEUSkFOvSeq nE39rDDWhkBPc/YeOHv4UCjxKNIZhdbIAOPNeWE3E/VbSxB7HT+f0bgObnEkXRJv dPBIo1P8cmnlHASdV6MjrWQmBakPkaPzB3MsVy/9DSwUUCPMpqsH2FoFvHCS5Xam He+tqDNdlF6qRg9y5g1E31gQ8xIPo3988Z2ETVk7IJg9NeG4vseRO8ko3V9xQCrd qHaVGfesU3AofuVcC3OeYiZbk9a+asR99oTwEeFRg5zbnMvGDrzS/+ypFxKGu4uf rTNtSSntkiH5cCXhOmltG36Z5L3IUHekt3JWv+3fOSxZ1rjGwQKCAQEA+RitHq8w uO946o5b+TAthdYohwZ+Kk2y4nrPbuwg1pJoa4gBphvMVr20k7m9Hu0zWXm275wc +a491rQpXOp/Uzod5hXNQ/6O0UdWapXdU24tbO7hhOCgECahPnUmLdkrwPQqXMQQ 7iBIF/SC3YBrHb80d+EOfnOhWdh+8lCws+0H9utWrEXsPjRa/j+Mbl+kPoaQceB2 S/o662xsLB/GDaafzaKxGh4rAXDeGidiD6tAbanNNro0C+qSvjUIaJ8+OgtV9CrA X7gASz6H8N3bcTj9b+PpeOo6Jw6yXbcsDLlLKgdxpYjmQ7FLEp4bWzeJ2x+KaCPG j7asxlehaoJ4cQKCAQEA2DL5tjcoPatF67CO6/xajwi9k1Akg+HTtMcK5Pr4iX0+ iRZPAWx22vsyKw+VeqlZUUDwUpHi2hbVFuTPRYRZLh9Yp7LaTSqMMQo1G1GwdyHz 43igwPp7birTt3X1FrtApAy4nst1ojLx6JDL8BjjS2KkYbAwwh9yTpNFfIiwSg5I kbCXnwWPyC2MLXoQSm8LGGOJI2NOSPl2sPMWb2X6/WyJryVkRH7QUXdD1qQ1KOJt SskQdOp63z1tXv00SCMFibe2ucATE0BYSehMkoElSdzHrV3IZI1dlijKyyB8Q9VP T0uoT1DIcBcBd3RbtLYb7dY48oDjua2JhR1ikXCkEwKCAQASaUyCdBh50tlxHMyX goQa3FVqhYRVxCBwtPsYC8PxmCi3qfnVOUDFOIhcUuIzovykpGZtF3Dc05AminJ0 N7DpieYj14CwgeQ0e71ba3BMdlxNLOrmU2QBTZmlcCs+QEsHnAR1jthhgWlSu/Pg Q1mnfTZ3ld7oYcuPRH09k9E7u01XZtWlLhXkEyKWoEPU9KTDKlcK07hqrTglpoHo UQDmiWZOYLQOZiRvmtQPwtFwrwu4D1DntqOaLeBixrC0avDCgYv83BwT9xmudhS+ LOfHWpsA5iufkFB0CpYMbzmGRzvTA3HW9mNupXATFDSZbWV3GMG2KM7IWIw0rM11 fedBAoIBAHoEEvBmorxjPDvvUkoXCxjsiuln8qPHwM6nAxwGFFysJa4CvCYGi/G8 kSzCR8+JYhI8fyVqlkgVWL/p9Jy8PASOxl8mzpN8btCCfURkzx39OILpongnJaAg ZYqF9QOWPL4ZO9zK4SHgdKyXg7GGqkjya+mCIZJ9Yuq7rRzCnBO/ie9HZdrmraYB JrrHyAfqMa3bBxvEwProZ7coCkJmoMeECRSjGrqZg4JmuA+cbzAa0inB3hrN9vik 12QjrO0Fbuuxlluw7lMQHoPfqc+JOX09MChE5ILzUZ0ceo83T0qNSYxsG5pf8i9o nHhJYDRWDt8k5tDeMyeorBNHaUjB9KcCggEAY0ZxFS1Lt+cvT+4+/kDx3y3fCWxO QgDRvgeQw40nqZwkyFWcKxw2hOfRpXRGa4tZ0nCQ9OIlqlo/T7NxZiQO1eBex3Z5 Z4nWloqeNw7/yX6cSYEghkPyUvtt6etP+C1L2E5wtw8bmbRVdj/ZnLDh+NgwyBDr 6LVCKBXI4CW4UKK+Uik4rePNtRETDa4ZV3/WDd7s5+9/1eiMWNQuhl5bpF9zE4os 1vn0nlwZI6CxLZO9rlNN4WYgC9GGbWKK5XdgA2WJC+yzFcMBRcZAITxK/HEYhN8y 13XfF/VfSZWzujVxeFgeRU5bmxmHRDaKM/2ahsxdlSD9dciIXt5d7DQMfw== -----END RSA PRIVATE KEY----- """.lstrip() JWT_PUBLIC_KEY = """ -----BEGIN PUBLIC KEY----- MIICIjANBgkqhkiG9w0BAQEFAAOCAg8AMIICCgKCAgEA0l5r3gFotNNKg7N7tikj 8umiMnznIEE/QbreCIvU2o4jHlckjLRqfiBEf+I/795Ve2Uewcd7qq14FtZZ6Pdb W+3kGZUn5Ox8LChS/RWdeLSkVQCNNJEO+oMTFqhKujJV7DWmPknDkFzBmYuCtYFm 1yaSimH1G4kF+Z0i7RATngwGRCxCRstSd2jAACVlpkztCUTVo8uWSHC0odPBIPC3 2pgRu7zSR0UWKXW4Rqbbh427j6X83sjQept5tI6tdWgQdThVaGTdpelTpyc9Efeo IM+E8bH6kjKwmjzZcOF6iZ81CiZoJRhFINlP4Lpaxtd/8jSfbdJLdIL38qRDCEBN K3Htwt+i6rm1WD+WkLjMDH4l88M2lhx0aOLMPYeVF8euD/1KoHFcPbUtUOQq87in Aw20GWO2GQp0Kz6jDmbYQHW0V2xc6kvvzI5TMW7kgQhNwb71/HEEgdv+JqFz2XDw FbkbBrCn5Ko5VrmIksZtEBE7ZgmbMUMdfrLwzxcHdm/Tuw/Y7ljmCf6qLZtskH/v EHd1PdSj2WIECrXTAjNO0qO+vSXKyWsY9TurEENQDA9F7yLf5Mm+jhnTiOcgBXBY jh41UXJZ2vO39Dp/D1lwmyjfSg/L/VqD/T5fwVaay9mvm3Mxjr90DNdRvu28oDpP J6Rh1yVHtKocQBpQxS9HVGMCAwEAAQ== -----END PUBLIC KEY----- """.lstrip() # Flask mail setup MAIL_SERVER = 'smtp.gmail.com' MAIL_PORT = 465 MAIL_USE_TLS = False MAIL_USE_SSL = True MAIL_DEBUG = True MAIL_USERNAME = 'testflaskmail12345@gmail.com' MAIL_PASSWORD = 'TestFlaskMail12345!' MAIL_DEFAULT_SENDER = None MAIL_MAX_EMAILS = None MAIL_SUPPRESS_SEND = False MAIL_ASCII_ATTACHMENTS = False if os.environ.get('FLASK_ENV') == 'production': # TODO make a prod config raise Exception('No config for production yet') else: Config = DevConfig

49.469388

83

0.901196

279

4,848

15.566308

0.810036

0.006908

0.005987

0

0.126005

0.050536

4,848

97

84

49.979381

0.81751

0.008251

0

0.022222

0

0.874922

0.821436

0

1

0

0.010309

0

1

0

false

0.022222

0.011111

0

0.211111

0

1

null

0

1

null

1

0

1

0

5

0c39bd3daeb080afd15c14a3152b0cf27ccf5122

25

py

Python

tests/resources/py/02_exp.py

jasonsatran/duckrun

bfdfa95f68e51e16991ef01bdd8fb606cdb076db

[ "MIT" ]

null

tests/resources/py/02_exp.py

jasonsatran/duckrun

bfdfa95f68e51e16991ef01bdd8fb606cdb076db

[ "MIT" ]

null

tests/resources/py/02_exp.py

jasonsatran/duckrun

bfdfa95f68e51e16991ef01bdd8fb606cdb076db

[ "MIT" ]

null

import math math.exp(99)

8.333333

12

0.76

5

25

3.8

0.8

0

0.090909

0.12

25

2

13

12.5

0.772727

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

0c65ba65718cef4e865589dd4ea14881b4729045

170

py

Python

tests/neuralnet/test_air_passengers_CPU_theano.py

jmabry/pyaf

afbc15a851a2445a7824bf255af612dc429265af

[ "BSD-3-Clause" ]

null

tests/neuralnet/test_air_passengers_CPU_theano.py

jmabry/pyaf

afbc15a851a2445a7824bf255af612dc429265af

[ "BSD-3-Clause" ]

1

2019-11-30T23:39:38.000Z

2019-12-01T04:34:35.000Z

tests/neuralnet/test_air_passengers_CPU_theano.py

jmabry/pyaf

afbc15a851a2445a7824bf255af612dc429265af

[ "BSD-3-Clause" ]

null

import os os.environ["THEANO_FLAGS"] = "device=cpu" os.environ["KERAS_BACKEND"] = "theano" import pyaf.tests.neuralnet.test_air_passengers_GPU as air air.buildModel();

21.25

58

0.770588

25

170

5.04

0.72

0.142857

0

0.088235

170

7

59

24.285714

0.812903

0

0.241176

0

1

0

true

0.2

0.4

0

0.4

0

1

0

null

0

1

0

null

0

1

0

5

a73ed47bac77e5e7284cef6604389ed66312704c

281

py

Python

app/apps/auth/forms.py

235/Bookmarkly_Django

e7fc33613bdd22484cfeac1274805f69f5a0fb78

[ "Unlicense" ]

1

2016-06-27T19:30:48.000Z

app/apps/auth/forms.py

235/Bookmarkly_Django

e7fc33613bdd22484cfeac1274805f69f5a0fb78

[ "Unlicense" ]

null

app/apps/auth/forms.py

235/Bookmarkly_Django

e7fc33613bdd22484cfeac1274805f69f5a0fb78

[ "Unlicense" ]

null

from django import forms class RegisterForm(forms.Form): username = forms.CharField(max_length=100) password = forms.CharField() email = forms.EmailField() class LoginForm(forms.Form): username = forms.CharField(max_length=100) password = forms.CharField()

21.615385

46

0.725979

33

281

6.121212

0.484848

0.277228

0.168317

0.217822

0.643564

0

0.025641

0.16726

281

12

47

23.416667

0.837607

0

0.5

0

1

0

false

0.25

0.125

0

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

5

a7464da7112f376045c2ed6fcaf4d62110e29ef6

21

py

Python

main.py

radajin/first_project

671d1021fa51f35f568fed5507da859fb2b11d67

[ "MIT" ]

null

main.py

radajin/first_project

671d1021fa51f35f568fed5507da859fb2b11d67

[ "MIT" ]

null

main.py

radajin/first_project

671d1021fa51f35f568fed5507da859fb2b11d67

[ "MIT" ]

null

print('hello git 5')

10.5

20

0.666667

4

21

3.5

1

0

0.055556

0.142857

21

1

21

0.722222

0

0.52381

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

a762f504c93303e32e61be54afe08e63f58fa9d7

86

py

Python

neoOkpara/Phase-1/Day11/currentCallStack.py

CodedLadiesInnovateTech/-python-challenge-solutions

430cd3eb84a2905a286819eef384ee484d8eb9e7

[ "MIT" ]

6

2020-05-23T19:53:25.000Z

2021-05-08T20:21:30.000Z

neoOkpara/Phase-1/Day11/currentCallStack.py

CodedLadiesInnovateTech/-python-challenge-solutions

430cd3eb84a2905a286819eef384ee484d8eb9e7

[ "MIT" ]

8

2020-05-14T18:53:12.000Z

2020-07-03T00:06:20.000Z

neoOkpara/Phase-1/Day11/currentCallStack.py

CodedLadiesInnovateTech/-python-challenge-solutions

430cd3eb84a2905a286819eef384ee484d8eb9e7

[ "MIT" ]

39

2020-05-10T20:55:02.000Z

2020-09-12T17:40:59.000Z

import traceback def f1(): return abc() def abc(): traceback.print_stack() f1()

7.818182

34

0.662791

12

86

4.666667

0.666667

0

0.028571

0.186047

86

10

35

8.6

0.771429

0

1

0.5

true

0

0.25

0.75

0.25

1

0

null

0

null

0

1

0

1

0

5

a7da70e293945673687df4acdb8d5f28e693a9da

266

py

Python

model/__init__.py

fingerecho/proms-4.0

6c3a1fd62c9394761664e100fc1dde50fd79dc11

[ "CC-BY-4.0" ]

2

2019-11-23T03:56:28.000Z

2019-12-03T15:48:34.000Z

model/__init__.py

fingerecho/proms-4.0

6c3a1fd62c9394761664e100fc1dde50fd79dc11

[ "CC-BY-4.0" ]

null

model/__init__.py

fingerecho/proms-4.0

6c3a1fd62c9394761664e100fc1dde50fd79dc11

[ "CC-BY-4.0" ]

3

2019-04-12T18:09:35.000Z

2020-03-14T14:38:45.000Z

#from .register import Registry from .register import RegisterRenderer from .report import ReportRenderer from .entity import EntityRenderer from .agent import AgentRenderer from .activity import ActivityRenderer from .reportingsystem import ReportingSystemRenderer

33.25

52

0.864662

28

266

8.214286

0.535714

0.104348

0.156522

0

0.105263

266

7

53

38

0.966387

0.112782

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ac140932bf895f0047bc8325b7a0a73b9f0806a0

890

py

Python

tests/domain/test_call.py

aldo774/telephone_bill

d59360b894e2ea5381c413b55852cb47b1e9a392

[ "MIT" ]

null

tests/domain/test_call.py

aldo774/telephone_bill

d59360b894e2ea5381c413b55852cb47b1e9a392

[ "MIT" ]

null

tests/domain/test_call.py

aldo774/telephone_bill

d59360b894e2ea5381c413b55852cb47b1e9a392

[ "MIT" ]

null

from telephone_bill.domain.call import Call def test_call_model_init(): call = Call( destination='8899999999', start_date='2018-01-01', start_time='01:00:00', duration='0h1m0s', price=0.36) assert call.destination == '8899999999' assert call.start_date == '2018-01-01' assert call.start_time == '01:00:00' assert call.duration == '0h1m0s' assert call.price == 0.36 def test_call_model_from_dict(): call = Call.from_dict({ 'destination': '8899999999', 'start_date': '2018-01-01', 'start_time': '01:00:00', 'duration': '0h1m0s', 'price': 0.36, }) assert call.destination == '8899999999' assert call.start_date == '2018-01-01' assert call.start_time == '01:00:00' assert call.duration == '0h1m0s' assert call.price == 0.36

26.969697

44

0.586517

112

890

4.508929

0.223214

0.19802

0.10297

0.118812

0.792079

0

0.184615

0.269663

890

32

45

27.8125

0.592308

0

0.384615

0

0.20979

0

0.384615

1

0.076923

false

0

0.038462

0

0.115385

0

null

0

1

0

null

0

5

ac71475f80f071c898fe51176a24e6596250f02e

10,952

py

Python

tests/test_api.py

ephes/django-cast

34b6aab98f7e9a750116ec2949e9cda4f2dcb127

[ "BSD-3-Clause" ]

11

2018-12-23T15:58:35.000Z

2021-10-04T12:14:46.000Z

tests/test_api.py

ephes/django-cast

34b6aab98f7e9a750116ec2949e9cda4f2dcb127

[ "BSD-3-Clause" ]

9

2018-11-18T12:12:29.000Z

2022-02-27T09:51:36.000Z

tests/test_api.py

ephes/django-cast

34b6aab98f7e9a750116ec2949e9cda4f2dcb127

[ "BSD-3-Clause" ]

12

2018-11-17T15:13:09.000Z

2020-05-02T00:10:07.000Z

import pytest from datetime import timedelta from django.urls import reverse from .factories import UserFactory from cast.models import Request from cast.access_log import pandas_rows_to_dict from cast.access_log import get_last_request_position from cast.access_log import get_dataframe_from_position class TestBlogImage: @classmethod def setup_class(cls): cls.list_url = reverse("cast:api:image_list") cls.detail_url = reverse("cast:api:image_detail", kwargs={"pk": 1}) @pytest.mark.django_db def test_image_list_endpoint_without_authentication(self, api_client): """Check for not authenticated status code if trying to access the list endpoint without being authenticated. """ r = api_client.get(self.list_url, format="json") assert r.status_code == 403 @pytest.mark.django_db def test_image_detail_endpoint_without_authentication(self, api_client): """Check for not authenticated status code if trying to access the detail endpoint without being authenticated. """ r = api_client.get(self.detail_url, format="json") assert r.status_code == 403 @pytest.mark.django_db def test_image_list_endpoint_with_authentication(self, api_client): """Check for list result when accessing the list endpoint being logged in. """ user = UserFactory() api_client.login(username=user.username, password="password") r = api_client.get(self.list_url, format="json") # dont redirect to login page assert r.status_code == 200 assert "results" in r.json() class TestBlogGallery: @classmethod def setup_class(cls): cls.list_url = reverse("cast:api:gallery_list") cls.detail_url = reverse("cast:api:gallery_detail", kwargs={"pk": 1}) @pytest.mark.django_db def test_gallery_list_endpoint_without_authentication(self, api_client): """Check for not authenticated status code if trying to access the list endpoint without being authenticated. """ r = api_client.get(self.list_url, format="json") assert r.status_code == 403 @pytest.mark.django_db def test_gallery_detail_endpoint_without_authentication(self, api_client): """Check for not authenticated status code if trying to access the detail endpoint without being authenticated. """ r = api_client.get(self.detail_url, format="json") assert r.status_code == 403 @pytest.mark.django_db def test_gallery_list_endpoint_with_authentication(self, api_client): """Check for list result when accessing the list endpoint being logged in. """ user = UserFactory() api_client.login(username=user.username, password="password") r = api_client.get(self.list_url, format="json") # dont redirect to login page assert r.status_code == 200 assert "results" in r.json() class TestBlogVideo: @classmethod def setup_class(cls): cls.list_url = reverse("cast:api:video_list") cls.detail_url = reverse("cast:api:video_detail", kwargs={"pk": 1}) @pytest.mark.django_db def test_video_list_endpoint_without_authentication(self, api_client): """Check for not authenticated status code if trying to access the list endpoint without being authenticated. """ r = api_client.get(self.list_url, format="json") assert r.status_code == 403 @pytest.mark.django_db def test_video_detail_endpoint_without_authentication(self, api_client): """Check for not authenticated status code if trying to access the detail endpoint without being authenticated. """ r = api_client.get(self.detail_url, format="json") assert r.status_code == 403 @pytest.mark.django_db def test_video_list_endpoint_with_authentication(self, api_client): """Check for list result when accessing the list endpoint being logged in. """ user = UserFactory() api_client.login(username=user.username, password="password") r = api_client.get(self.list_url, format="json") # dont redirect to login page assert r.status_code == 200 assert "results" in r.json() class TestBlogAudio: @classmethod def setup_class(cls): cls.list_url = reverse("cast:api:audio_list") cls.detail_url = reverse("cast:api:audio_detail", kwargs={"pk": 1}) @pytest.mark.django_db def test_audio_list_endpoint_without_authentication(self, api_client): """Check for not authenticated status code if trying to access the list endpoint without being authenticated. """ r = api_client.get(self.list_url, format="json") assert r.status_code == 403 @pytest.mark.django_db def test_audio_detail_endpoint_without_authentication(self, api_client): """Check for not authenticated status code if trying to access the detail endpoint without being authenticated. """ r = api_client.get(self.detail_url, format="json") assert r.status_code == 403 @pytest.mark.django_db def test_audio_list_endpoint_with_authentication(self, api_client): """Check for list result when accessing the list endpoint being logged in. """ user = UserFactory() api_client.login(username=user.username, password="password") r = api_client.get(self.list_url, format="json") # dont redirect to login page assert r.status_code == 200 assert "results" in r.json() class TestPodcastAudio: @pytest.mark.django_db def test_podlove_detail_endpoint_without_authentication(self, api_client, audio): """Should be accessible without authentication.""" podlove_detail_url = reverse( "cast:api:audio_podlove_detail", kwargs={"pk": audio.pk} ) r = api_client.get(podlove_detail_url, format="json") assert r.status_code == 200 @pytest.mark.django_db def test_podlove_detail_endpoint_duration(self, api_client, audio): """Test whether microseconds get stripped away from duration via api - they have to be for podlove player to work. """ delta = timedelta(days=0, hours=1, minutes=10, seconds=20, microseconds=40) audio.duration = delta audio.save() assert "." in str(audio.duration) podlove_detail_url = reverse( "cast:api:audio_podlove_detail", kwargs={"pk": audio.pk} ) r = api_client.get(podlove_detail_url, format="json") assert "." not in r.json()["duration"] @pytest.mark.django_db def test_podlove_detail_endpoint_chaptermarks( self, api_client, audio, chaptermarks ): """Test whether chaptermarks get delivered via podlove endpoint.""" print("chaptermarks: ", chaptermarks) podlove_detail_url = reverse( "cast:api:audio_podlove_detail", kwargs={"pk": audio.pk} ) r = api_client.get(podlove_detail_url, format="json") chapters = r.json()["chapters"] for chapter in chapters: # assert microseconds are stripped away assert "." not in chapter["start"] assert ":" in chapter["start"] assert len(chapters) == 3 # assert reordering assert chapters[-1]["title"] == "coughing" class TestRequest: @classmethod def setup_class(cls): cls.list_url = reverse("cast:api:request_list") @pytest.mark.django_db def test_request_list_endpoint_without_authentication(self, api_client): """Should not be accessible without authentication.""" r = api_client.get(self.list_url, format="json") assert r.status_code == 403 @pytest.mark.django_db def test_request_list_endpoint_with_authentication(self, api_client): """Check for list result when accessing the list endpoint being logged in. """ user = UserFactory() api_client.login(username=user.username, password="password") r = api_client.get(self.list_url, format="json") # dont redirect to login page assert r.status_code == 200 assert "results" in r.json() @pytest.mark.django_db def test_request_list_endpoint_non_bulk_insert(self, api_client, access_log_path): user = UserFactory() api_client.login(username=user.username, password="password") df = get_dataframe_from_position(access_log_path, start_position=0) raw_rows = df.fillna("").to_dict(orient="rows") rows = pandas_rows_to_dict(raw_rows) row = rows[0] r = api_client.post(self.list_url, data=row, format="json") assert r.status_code == 201 @pytest.mark.django_db def test_request_list_endpoint_bulk_insert(self, api_client, access_log_path): user = UserFactory() api_client.login(username=user.username, password="password") df = get_dataframe_from_position(access_log_path, start_position=0) raw_rows = df.fillna("").to_dict(orient="rows") rows = pandas_rows_to_dict(raw_rows) r = api_client.post(self.list_url, data=rows, format="json") assert r.status_code == 201 assert Request.objects.count() == df.shape[0] @pytest.mark.django_db def test_request_list_endpoint_incremental_insert( self, api_client, access_log_path ): user = UserFactory() api_client.login(username=user.username, password="password") Request.objects.all().delete() # insert just first row df = get_dataframe_from_position(access_log_path, start_position=0) raw_rows = df.fillna("").to_dict(orient="rows") rows = pandas_rows_to_dict(raw_rows) row = rows[0] r = api_client.post(self.list_url, data=row, format="json") assert r.status_code == 201 # get last position (should be 4 because first 5 are the same) last_request = Request.objects.all().order_by("-timestamp")[0] last_position = get_last_request_position(access_log_path, last_request) assert last_position == 4 # insert starting at position 4 df = get_dataframe_from_position(access_log_path, start_position=last_position) raw_rows = df.fillna("").to_dict(orient="rows") rows = pandas_rows_to_dict(raw_rows) r = api_client.post(self.list_url, data=rows, format="json") assert r.status_code == 201 # assert number of unique lines in access.log and objects in database are equal # we omitted some lines intentionally number_of_unique_lines = 0 with open(access_log_path) as f: number_of_unique_lines = len(set([_ for _ in f])) assert Request.objects.count() == number_of_unique_lines

39.25448

88

0.672754

1,426

10,952

4.931276

0.115007

0.062713

0.029863

0.051195

0.799772

0.790529

0.782423

0.755688

0.754124

0.705347

0

0.009865

0.231739

10,952

278

89

39.395683

0.825885

0.174854

0

0.615385

0

0.063434

0.024707

0

0.181319

1

0.137363

false

0.043956

0

0.214286

0.005495

0

null

0

1

0

null

0

5

3bcfc6a497f6e8282d4eefbe304936fd68ab3f0b

23

py

Python

starter/__init__.py

gnott/elife-bot

584c315d15d1289e0d2c27c28aaaae31174812e4

[ "MIT" ]

null

starter/__init__.py

gnott/elife-bot

584c315d15d1289e0d2c27c28aaaae31174812e4

[ "MIT" ]

null

starter/__init__.py

gnott/elife-bot

584c315d15d1289e0d2c27c28aaaae31174812e4

[ "MIT" ]

null

# eLife starter modules

23

0.826087

3

23

6.333333

1

0

0.130435

23

1

23

0.95

0.913043

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

3beb17f20ef4b1d6d172a44f9e3aa8c88bc64595

124

py

Python

bitirmetezi/venv/Lib/site-packages/plot/tk/arrayTK/__init__.py

busraltun/IMPLEMENTATIONOFEYECONTROLLEDVIRTUALKEYBOARD

fa3a9b150419a17aa82f41b068a5d69d0ff0d0f3

[ "MIT" ]

1

2020-04-10T08:14:43.000Z

bitirmetezi/venv/Lib/site-packages/plot/tk/arrayTK/__init__.py

busraltun/IMPLEMENTATIONOFEYECONTROLLEDVIRTUALKEYBOARD

fa3a9b150419a17aa82f41b068a5d69d0ff0d0f3

[ "MIT" ]

1

2016-11-30T20:37:27.000Z

2016-12-12T11:55:50.000Z

bitirmetezi/venv/Lib/site-packages/plot/tk/arrayTK/__init__.py

busraltun/IMPLEMENTATIONOFEYECONTROLLEDVIRTUALKEYBOARD

fa3a9b150419a17aa82f41b068a5d69d0ff0d0f3

[ "MIT" ]

1

2019-12-18T07:56:00.000Z

from .minmax import minmax from .smooth import smooth from .all_indexes import all_indexes from .transpose import transpose

24.8

36

0.83871

18

124

5.666667

0.388889

0.196078

0

0.129032

124

4

37

31

0.944444

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

3bfc5aa829cca805754d633cea0e859746484ccc

97

py

Python

i.py

zgana/manatee

bf79507523e9f84321d15de685709d51ddf9125c

[ "WTFPL" ]

null

i.py

zgana/manatee

bf79507523e9f84321d15de685709d51ddf9125c

[ "WTFPL" ]

null

i.py

zgana/manatee

bf79507523e9f84321d15de685709d51ddf9125c

[ "WTFPL" ]

null

# imports for interactive use import logging from manateelog import * from mainwindow import *

13.857143

29

0.793814

12

97

6.416667

0.75

0

0.175258

97

6

30

16.166667

0.9625

0.278351

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

0221e3cfbeacd2da39e909b16333bc66ca595b43

75

py

Python

lightnlp/tc/__init__.py

CNLPT/lightNLP

c7f128422ba5b16f514bb294145cb3b562e95829

[ "Apache-2.0" ]

889

2019-03-11T00:58:46.000Z

2022-03-27T07:12:06.000Z

lightnlp/tc/__init__.py

CNLPT/lightNLP

c7f128422ba5b16f514bb294145cb3b562e95829

[ "Apache-2.0" ]

14

2019-03-25T09:21:38.000Z

2020-12-28T11:41:55.000Z

lightnlp/tc/__init__.py

CNLPT/lightNLP

c7f128422ba5b16f514bb294145cb3b562e95829

[ "Apache-2.0" ]

237

2019-03-19T08:30:17.000Z

2022-03-14T03:38:30.000Z

from .sa.module import SA from .re.module import RE __all__ = ['SA', 'RE']

18.75

25

0.68

13

75

3.615385

0.461538

0.510638

0

0.16

75

3

26

25

0.746032

0

0.053333

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

02427500fbd7a07685d4cb090582f6a2ab628f54

87

py

Python

stop.py

reinspect/amok

adc014b42ec7375c5965aa709873b3911b28e470

[ "MIT" ]

null

stop.py

reinspect/amok

adc014b42ec7375c5965aa709873b3911b28e470

[ "MIT" ]

null

stop.py

reinspect/amok

adc014b42ec7375c5965aa709873b3911b28e470

[ "MIT" ]

null

import os from core.msg import * os.system('pkill -f ./core/server.py') print(killMsg)

17.4

38

0.724138

15

87

4.2

0.8

0.253968

0

0.114943

87

5

39

17.4

0.818182

0

0.284091

0

1

0

true

0

0.5

0

0.5

0.25

1

0

null

1

0

1

0

null

0

1

0

1

0

5

02448542663494e7cdb7beff685af3cedf2a6431

189

py

Python

handroll/exceptions.py

iter8ve/handroll

55a97080b82ac5dcec1e974379b22fbaacf18c99

[ "BSD-2-Clause" ]

17

2015-02-28T07:36:13.000Z

2022-01-22T13:49:22.000Z

handroll/exceptions.py

iter8ve/handroll

55a97080b82ac5dcec1e974379b22fbaacf18c99

[ "BSD-2-Clause" ]

61

2015-02-24T01:12:56.000Z

2017-10-21T18:53:26.000Z

handroll/exceptions.py

iter8ve/handroll

55a97080b82ac5dcec1e974379b22fbaacf18c99

[ "BSD-2-Clause" ]

3

2019-02-04T16:33:08.000Z

2021-04-20T08:58:56.000Z

27

74

0.730159

23

189

6

0.913043

0.275362

0

0.025641

0.174603

189

6

75

31.5

0.858974

0.751323

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

027717736b1a1289c3ae7a068d422b4c933d6fae

80

py

Python

generator/system/plant/simulator/__init__.py

SimkaNed/lw_cw

72d878820f20ac73dc7c14f5ccd70471dda4d6da

[ "MIT" ]

null

generator/system/plant/simulator/__init__.py

SimkaNed/lw_cw

72d878820f20ac73dc7c14f5ccd70471dda4d6da

[ "MIT" ]

null

generator/system/plant/simulator/__init__.py

SimkaNed/lw_cw

72d878820f20ac73dc7c14f5ccd70471dda4d6da

[ "MIT" ]

null

# SIMULATOR PROCESS # TODO: # RUNGE_KUTTA SIMULATOR # STEP # DYNAMICAL_SYSTEM

16

24

0.75

9

80

6.444444

0.888889

0

0.175

80

5

25

16

0.878788

0.875

0

null

0

null

0

null

0

0.2

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

027c830c75bb01ee6fb2f23883ed3d7ebc5fdf3e

78

py

Python

0python-demo/6sugar/testbuiltins.py

dikuznet/python-test-book

baf85ae62dbf09f83ea3dcf6f613410d28cbe6f8

[ "MIT" ]

null

0python-demo/6sugar/testbuiltins.py

dikuznet/python-test-book

baf85ae62dbf09f83ea3dcf6f613410d28cbe6f8

[ "MIT" ]

null

0python-demo/6sugar/testbuiltins.py

dikuznet/python-test-book

baf85ae62dbf09f83ea3dcf6f613410d28cbe6f8

[ "MIT" ]

null

import math print(dir()) print(globals()) print(dir(__builtins__)) x,y = 1,1

11.142857

24

0.692308

13

78

3.846154

0.692308

0.32

0

0.028986

0.115385

78

6

25

13

0.695652

0

1

0

true

0

0.2

0

0.2

0.6

1

0

null

1

0

1

0

null

0

1

0

1

0

5

02819dda7775e0e05b8ebcbbd23d570543db5501

145

py

Python

hello_fabric3/fabfile.py

flaviogf/Exemplos

fc666429f6e90c388e201fb7b7d5801e3c25bd25

[ "MIT" ]

null

hello_fabric3/fabfile.py

flaviogf/Exemplos

fc666429f6e90c388e201fb7b7d5801e3c25bd25

[ "MIT" ]

5

2019-12-29T04:58:10.000Z

2021-03-11T04:35:15.000Z

hello_fabric3/fabfile.py

flaviogf/Exemplos

fc666429f6e90c388e201fb7b7d5801e3c25bd25

[ "MIT" ]

null

import warnings from fabric.api import run warnings.filterwarnings(action='ignore', module='.*paramiko.*') def hello(): run('echo "OK"')

14.5

63

0.696552

18

145

5.611111

0.833333

0

0.137931

145

9

64

16.111111

0.808

0

0.186207

0

1

0.2

true

0

0.4

0

0.6

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

5a2b5c8d3e09725498e2d465038f33f27c71cc99

7,698

py

Python

experiment3.py

JordyBottelier/arpsas

1d10f18d082b71ad2931852b8d88ad963add8fbe

[ "MIT" ]

4

2021-02-23T01:11:24.000Z

2022-01-14T13:29:42.000Z

experiment3.py

JordyBottelier/arpsas

1d10f18d082b71ad2931852b8d88ad963add8fbe

[ "MIT" ]

4

2021-03-18T20:36:03.000Z

2022-01-13T00:47:32.000Z

experiment3.py

JordyBottelier/arpsas

1d10f18d082b71ad2931852b8d88ad963add8fbe

[ "MIT" ]

2

2021-02-23T01:12:12.000Z

2021-06-27T17:48:30.000Z

""" Number of instances/column vs scores experiment. The code in all experiment files is very ugly, but it I did not see the use in creating beautifull code for all experiments since it is a 'press enter and rerun them' setup """ from schema_matching import * from schema_matching.misc_func import * from sklearn.metrics import accuracy_score from pandas_ml import ConfusionMatrix from sklearn.metrics import confusion_matrix from os.path import isfile import os import math def execute_test(sm, test_folder, skip_unknown=False): """ for all the schemas in the test folder, read them and classify them, also compute precision, recall, f_measure and accuracy. """ sr = Schema_Reader() actual = [] predicted = [] for filename in sorted(os.listdir(test_folder)): print(filename) path = test_folder + filename try: if(isfile(path)): headers, columns = sr.get_duplicate_columns(path, skip_unknown) print("done") actual += headers result_headers = None if skip_unknown: result_headers = sm.test_schema_matcher(columns, 0, False) else: result_headers = sm.test_schema_matcher(columns, 0.4, True) predicted += result_headers except: print("Fail") # break # print(ConfusionMatrix(actual, predicted)) return actual, predicted def experiment3_inliers(): data_folder = 'data_train/' gm = Graph_Maker() x = [30, 60, 90, 120, 150, 0] number_of_columns = 100 accuracies = [] # accuracies = [0.4, 0.4, 0.4] classes = ['city', 'country', 'date', 'gender', 'house_number',\ 'legal_type', 'postcode', 'province', 'sbi_code', 'sbi_description', 'telephone_nr'] sf_main = Storage_Files(data_folder, classes) tmp = [] for i in x: print("Fingerprint") print(i) # --- Fingerprint ccc = Column_Classification_Config() ccc.add_feature('feature_main', 'Fingerprint', [sf_main, number_of_columns, i, False, False]) ccc.add_matcher('matcher', 'Fingerprint_Matcher', {'feature_main': 'fingerprint'}) # main classifier sm = Schema_Matcher(ccc) actual, predicted = execute_test(sm, 'data_test/', True) accuracy = accuracy_score(actual, predicted) tmp.append(accuracy) gm.append_y(tmp) tmp = [] for i in x: print("SFM") print(i) # --- Fingerprint ccc = Column_Classification_Config() ccc.add_feature('feature_main', 'Syntax_Feature_Model', [sf_main, 1, i * 100, False, False]) ccc.add_matcher('matcher', 'Syntax_Matcher', {'feature_main': 'syntax'}) # main classifier sm = Schema_Matcher(ccc) actual, predicted = execute_test(sm, 'data_test/', True) accuracy = accuracy_score(actual, predicted) tmp.append(accuracy) gm.append_y(tmp) tmp = [] for i in x: print("W2V") print(i) # --- Word2Vec Matcher ccc = Column_Classification_Config() ccc.add_feature('feature_main', 'Corpus', [sf_main, number_of_columns, i, False, False]) ccc.add_matcher('matcher', 'Word2Vec_Matcher', {'feature_main': 'corpus'}) # main classifier sm = Schema_Matcher(ccc) actual, predicted = execute_test(sm, 'data_test/', True) accuracy = accuracy_score(actual, predicted) tmp.append(accuracy) gm.append_y(tmp) # gm.append_y([0.6, 0.7, 0.6, 0.8, 0.7, 0.9]) # gm.append_y([0.6, 0.5, 0.3, 0.4, 0.5, 0.7]) x = [30, 60, 90, 120, 150, 180] xticks = [30, 60, 90, 120, 150, 0] gm.add_x(x) gm.store(filename="/graph_maker/exp1.3a") gm.plot_line_n("Number of Instances per Column", "Accuracy", "Accuracy vs Number of Instances per Column" ,["Fingerprint",\ "Syntax Feature Model Matcher","Word2Vec Matcher"], xticks=xticks) def experiment3_outliers(): """ Run a full experiment on all matchers including outliers and measure precision, recall, f-measure and accuracy """ data_folder = 'data_train/' gm = Graph_Maker() x = [30, 60, 90, 120, 150, 0] number_of_columns = 100 min_number_of_columns = 20 examples_per_class = 0 classes = ['city', 'country', 'date', 'gender', 'house_number',\ 'legal_type', 'postcode', 'province', 'sbi_code', 'sbi_description', 'telephone_nr'] sf_main = Storage_Files(data_folder, classes) tmp_acc = [] tmp_prec = [] tmp_rec = [] tmp_fmeasure = [] for i in x: print("Fingerprint") # --- Fingerprint ccc = Column_Classification_Config() ccc.add_feature('feature_main', 'Fingerprint', [sf_main, number_of_columns, i, False, False]) ccc.add_matcher('matcher', 'Fingerprint_Matcher', {'feature_main': 'fingerprint'}) # main classifier sm = Schema_Matcher(ccc) actual, predicted = execute_test(sm, 'data_test/', False) accuracy = accuracy_score(actual, predicted) tmp_acc.append(accuracy) tmp_prec.append(precision(actual, predicted)) tmp_rec.append(recall(actual, predicted)) tmp_fmeasure.append(f_measure(actual, predicted)) gm.append_y(tmp_acc) gm.append_y(tmp_prec) gm.append_y(tmp_rec) gm.append_y(tmp_fmeasure) tmp_acc = [] tmp_prec = [] tmp_rec = [] tmp_fmeasure = [] for i in x: print("SFM") # --- Fingerprint ccc = Column_Classification_Config() ccc.add_feature('feature_main', 'Syntax_Feature_Model', [sf_main, 1, i * 100, False, False]) ccc.add_matcher('matcher', 'Syntax_Matcher', {'feature_main': 'syntax'}) # main classifier sm = Schema_Matcher(ccc) actual, predicted = execute_test(sm, 'data_test/', False) accuracy = accuracy_score(actual, predicted) tmp_acc.append(accuracy) tmp_prec.append(precision(actual, predicted)) tmp_rec.append(recall(actual, predicted)) tmp_fmeasure.append(f_measure(actual, predicted)) gm.append_y(tmp_acc) gm.append_y(tmp_prec) gm.append_y(tmp_rec) gm.append_y(tmp_fmeasure) tmp_acc = [] tmp_prec = [] tmp_rec = [] tmp_fmeasure = [] for i in x: print("W2V") # --- Word2Vec Matcher ccc = Column_Classification_Config() ccc.add_feature('feature_main', 'Corpus', [sf_main, number_of_columns, i, False, False]) ccc.add_matcher('matcher', 'Word2Vec_Matcher', {'feature_main': 'corpus'}) # main classifier sm = Schema_Matcher(ccc) actual, predicted = execute_test(sm, 'data_test/', False) accuracy = accuracy_score(actual, predicted) tmp_acc.append(accuracy) tmp_prec.append(precision(actual, predicted)) tmp_rec.append(recall(actual, predicted)) tmp_fmeasure.append(f_measure(actual, predicted)) gm.append_y(tmp_acc) gm.append_y(tmp_prec) gm.append_y(tmp_rec) gm.append_y(tmp_fmeasure) # gm.add_x(x) x = [30, 60, 90, 120, 150, 180] gm.append_x(x) gm.append_x(x) gm.append_x(x) # gm.append_y([0.4, 0.4, 0.4, 0.4, 0.4, 0.4]) # gm.append_y([0.5, 0.5, 0.5, 0.5, 0.5, 0.5]) # gm.append_y([0.62, 0.62, 0.62, 0.34, 0.74, 0.62]) # gm.append_y([0.23, 0.23, 0.28, 0.21, 0.24, 0.24]) # gm.append_y([0.4, 0.4, 0.4, 0.4, 0.4, 0.4]) # gm.append_y([0.5, 0.5, 0.5, 0.5, 0.5, 0.5]) # gm.append_y([0.62, 0.62, 0.62, 0.34, 0.74, 0.62]) # gm.append_y([0.23, 0.23, 0.28, 0.21, 0.24, 0.24]) # gm.append_y([0.4, 0.4, 0.4, 0.4, 0.4, 0.4]) # gm.append_y([0.5, 0.5, 0.5, 0.5, 0.5, 0.5]) # gm.append_y([0.62, 0.62, 0.62, 0.34, 0.74, 0.62]) # gm.append_y([0.23, 0.23, 0.28, 0.21, 0.24, 0.24]) gm.store(filename="/graph_maker/exp1.3b") subtitles = ["Fingerprint", "Syntax Feature Model Matcher", "Word2Vec Matcher"] labels = ["Accuracy", "Precision", "Recall", "F-Measure"] xticks = [30, 60, 90, 120, 150, 0] gm.subplot_n("Number of Instances per Column", "Scores", "Scores vs Number of Instances per Column" ,subtitles, labels*3, xticks=xticks) if __name__ == '__main__': # experiment3_inliers() # experiment3_outliers() gm = Graph_Maker() gm.load(filename="/graph_maker/exp1.3a") xticks = [30, 60, 90, 120, 150, 0] gm.plot_line_n("Number of Instances per Column", "Accuracy", "Accuracy vs Number of Instances per Column" ,["Fingerprint",\ "Syntax Feature Model Matcher","Word2Vec Matcher"], xticks=xticks)

33.181034

137

0.696545

1,195

7,698

4.291213

0.156485

0.049922

0.050897

0.013261

0.771061

0.765991

0.716264

0.700078

0.672582

0

0.052575

0.147571

7,698

232

138

33.181034

0.728894

0.188231

0

0.745455

0

0.196703

0

1

0.018182

false

0

0.048485

0

0.072727

0.115152

0

null

0

1

0

1

0

1

0

null

0

5

5a2e29949b3878b904bf581bd4e1551c939f7d92

72

py

Python

dastr/__init__.py

kinleyid/dastr

357bcccc561b6a07427fb9d2516136185e4e6246

[ "MIT" ]

null

dastr/__init__.py

kinleyid/dastr

357bcccc561b6a07427fb9d2516136185e4e6246

[ "MIT" ]

null

dastr/__init__.py

kinleyid/dastr

357bcccc561b6a07427fb9d2516136185e4e6246

[ "MIT" ]

null

from dastr.dastr import json_to_params, read, translate, todelim, write

36

71

0.819444

11

72

5.181818

0.909091

0

0.111111

72

2

71

36

0.890625

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

5a5a9f972857b8a0f52267c7286d051aeef218ed

74

py

Python

knx_stack/definition/layer/network/__init__.py

majamassarini/knx-stack

11a9baac6b7600649b5fbca43c93b200b23676b4

[ "MIT" ]

2

2021-07-28T07:42:28.000Z

2022-01-25T18:56:05.000Z

knx_stack/definition/layer/network/__init__.py

majamassarini/knx-stack

11a9baac6b7600649b5fbca43c93b200b23676b4

[ "MIT" ]

6

2021-07-25T21:36:01.000Z

2022-02-20T21:11:31.000Z

knx_stack/definition/layer/network/__init__.py

majamassarini/knx-stack

11a9baac6b7600649b5fbca43c93b200b23676b4

[ "MIT" ]

null

from knx_stack.definition.layer.network.address_table import AddressTable

37

73

0.891892

10

74

6.4

1

0

0.054054

74

1

74

0.914286

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ce79551d2cec7a1b7e2398e5e6ef6591e4d8375f

201

py

Python

bobstack/sipmessaging/concretesipmessages/referSIPRequest.py

bobjects/BobStack

c177b286075044832f44baf9ace201780c8b4320

[ "Apache-2.0" ]

null

bobstack/sipmessaging/concretesipmessages/referSIPRequest.py

bobjects/BobStack

c177b286075044832f44baf9ace201780c8b4320

[ "Apache-2.0" ]

null

bobstack/sipmessaging/concretesipmessages/referSIPRequest.py

bobjects/BobStack

c177b286075044832f44baf9ace201780c8b4320

[ "Apache-2.0" ]

null

from ...sipmessaging import SIPRequest class REFERSIPRequest(SIPRequest): @property def is_refer_request(self): return True @property def is_known(self): return True

16.75

38

0.676617

22

201

6.045455

0.681818

0.165414

0.195489

0

0.253731

201

11

39

18.272727

0.886667

0

0.5

0

1

0.25

false

0

0.125

0.25

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

5

ce7b0b11f0b5b01b84482d036c7a326e43f08c5f

59

py

Python

enthought/pyface/mdi_application_window.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/pyface/mdi_application_window.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/pyface/mdi_application_window.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from pyface.mdi_application_window import *

19.666667

43

0.830508

8

59

5.875

1

0

0.118644

59

2

44

29.5

0.903846

0.20339

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ce8d0908267816d39ae24ec7ba0fba4670a84fc5

218

py

Python

ansible_bender/exceptions.py

11mariom/ansible-bender

4cf3887bf8d7f1819d5904b9a103d48edc06a8d1

[ "MIT" ]

null

ansible_bender/exceptions.py

11mariom/ansible-bender

4cf3887bf8d7f1819d5904b9a103d48edc06a8d1

[ "MIT" ]

1

2019-11-06T21:02:17.000Z

2019-11-07T04:44:57.000Z

ansible_bender/exceptions.py

11mariom/ansible-bender

4cf3887bf8d7f1819d5904b9a103d48edc06a8d1

[ "MIT" ]

null

class AbBuildUnsuccesful(Exception): """ Build was not successful """ def __init__(self, msg, output): self.msg = msg self.output = output def __str__(self): return "%s" % self.msg

24.222222

36

0.600917

25

218

4.92

0.6

0.170732

0

0.279817

218

8

37

27.25

0.783439

0.110092

0

0.010753

0

1

0.333333

false

0

0.166667

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

5

0c7e2ff0deea8cce12deed8d169ddac6e0c21e16

143

py

Python

print without newline.py

manand881/Python-Programs

eb970cb1b21d4aede0102c60425eb8a1d4ac605c

[ "MIT" ]

null

print without newline.py

manand881/Python-Programs

eb970cb1b21d4aede0102c60425eb8a1d4ac605c

[ "MIT" ]

null

print without newline.py

manand881/Python-Programs

eb970cb1b21d4aede0102c60425eb8a1d4ac605c

[ "MIT" ]

null

#Print without newline or space print("\n") for j in range(10): print("") for i in range(10): print(' @ ', end="") print("\n")

17.875

31

0.538462

22

143

3.5

0.590909

0.155844

0.233766

0.363636

0

0.037383

0.251748

143

8

32

17.875

0.682243

0.20979

0

0.333333

0

0.061947

0

1

0

false

0

0.666667

1

0

null

0

1

0

1

0

null

0

1

0

5

0b4f846a543e554d64f2f7d8adb1ee057a744cbb

43

py

Python

command/test/integration/fake_repository/commit_023/x.py

skylerberg/pyre-check

e7967e5ee65dd09608f162cdb36a5b0919aeb5e3

[ "MIT" ]

5

2019-02-14T19:46:47.000Z

2020-01-16T05:48:45.000Z

command/test/integration/fake_repository/commit_023/x.py

skylerberg/pyre-check

e7967e5ee65dd09608f162cdb36a5b0919aeb5e3

[ "MIT" ]

4

2022-02-15T02:42:33.000Z

2022-02-28T01:30:07.000Z

command/test/integration/fake_repository/commit_023/x.py

skylerberg/pyre-check

e7967e5ee65dd09608f162cdb36a5b0919aeb5e3

[ "MIT" ]

2

2019-02-14T19:46:23.000Z

2020-07-13T03:53:04.000Z

import a v: a.A reveal_type(var) # noqa

7.166667

24

0.651163

9

43

3

0.777778

0

0.232558

43

5

25

8.6

0.818182

0.093023

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

1

0

5

0b5a4fa7e15a78caff0dfa18f727d2e3f703340c

173

py

Python

tests/plugins/loading/plugins/nosetup/nosetup.py

doraskayo/buildstream

1c72d4342ae7df360808de22c5e49f55dbb6bec6

[ "Apache-2.0" ]

null

tests/plugins/loading/plugins/nosetup/nosetup.py

doraskayo/buildstream

1c72d4342ae7df360808de22c5e49f55dbb6bec6

[ "Apache-2.0" ]

null

tests/plugins/loading/plugins/nosetup/nosetup.py

doraskayo/buildstream

1c72d4342ae7df360808de22c5e49f55dbb6bec6

[ "Apache-2.0" ]

null

# A plugin is supposed to define a setup function # which returns the type that the plugin provides # # This plugin fails to do so def useless(): print("Hello World")

19.222222

49

0.722543

28

173

4.464286

0.821429

0

0.213873

173

8

50

21.625

0.919118

0.705202

0

0.23913

0

1

0.5

true

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

5

e7ed6320bc29af83559d6e0ccb602bc33b2048a2

212

py

Python

src/ufdl/annotations_plugin/audio/speech/specifier/__init__.py

waikato-ufdl/ufdl-annotations-plugin

9eb3d807e35215ad9cfbd4aa651d7f7142e83efe

[ "Apache-2.0" ]

null

src/ufdl/annotations_plugin/audio/speech/specifier/__init__.py

waikato-ufdl/ufdl-annotations-plugin

9eb3d807e35215ad9cfbd4aa651d7f7142e83efe

[ "Apache-2.0" ]

4

2020-07-29T04:09:13.000Z

2020-11-22T20:52:18.000Z

src/ufdl/annotations_plugin/audio/speech/specifier/__init__.py

waikato-ufdl/ufdl-annotations-plugin

9eb3d807e35215ad9cfbd4aa651d7f7142e83efe

[ "Apache-2.0" ]

null

""" Defines the specifiers of the speech domain components. """ from ._UFDLSpeechSinkStageSpecifier import UFDLSpeechSinkStageSpecifier from ._UFDLSpeechSourceStageSpecifier import UFDLSpeechSourceStageSpecifier

35.333333

75

0.872642

16

212

11.4375

0.6875

0

0.084906

212

5

76

42.4

0.943299

0.259434

0

1

0

true

0

1

0

1

0

1

0

1

null

0

1

0

null

0

1

0

1

0

5

f0289b0d5eee8dc8516d1b3a5c51a0a312a50b8a

168

py

Python

tests/unit/test_all.py

nismod/open-gira

be70e1734272d0b8ed60697264e22bf083305faf

[ "MIT" ]

1

2022-02-12T14:37:09.000Z

tests/unit/test_all.py

nismod/open-gira

be70e1734272d0b8ed60697264e22bf083305faf

[ "MIT" ]

29

2022-01-10T10:02:54.000Z

2022-03-31T17:27:56.000Z

tests/unit/test_all.py

nismod/open-gira

be70e1734272d0b8ed60697264e22bf083305faf

[ "MIT" ]

null

import os import sys import common sys.path.insert(0, os.path.dirname(__file__)) def test_all(): common.run_test('all', 'snakemake all -j1 --keep-target-files')

16.8

67

0.720238

27

168

4.259259

0.666667

0.121739

0

0.013699

0.130952

168

9

68

18.666667

0.773973

0

0.238095

0

1

0.166667

true

0

0.5

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

f0394ae7bb626a55220120f44cebda186442a8fd

169

py

Python

tests/test_get_quote.py

kadaliao/random-quote-generator

be067e1fa1c0274397699f585c389af5bdc5d41c

[ "MIT" ]

null

tests/test_get_quote.py

kadaliao/random-quote-generator

be067e1fa1c0274397699f585c389af5bdc5d41c

[ "MIT" ]

null

tests/test_get_quote.py

kadaliao/random-quote-generator

be067e1fa1c0274397699f585c389af5bdc5d41c

[ "MIT" ]

null

from random_quote_generator import get_quote from random_quote_generator.quotes import quotes def test_get_quote(): quote = get_quote() assert quote in quotes

21.125

48

0.798817

25

169

5.08

0.44

0.188976

0.23622

0.377953

0

0.159763

169

7

49

24.142857

0.894366

0

0.2

1

0.2

false

0

0.4

0

0.6

0

1

0

null

0

1

0

1

0

null

0

1

0

5

f05259cb95937a533fa1666eb29557da38b49342

195

py

Python

app/resources/__init__.py

netai/stockbag_backend

b5bbc09fea896bcb1c03091579f6de658bff4c13

[ "MIT" ]

null

app/resources/__init__.py

netai/stockbag_backend

b5bbc09fea896bcb1c03091579f6de658bff4c13

[ "MIT" ]

null

app/resources/__init__.py

netai/stockbag_backend

b5bbc09fea896bcb1c03091579f6de658bff4c13

[ "MIT" ]

null

from .auth_resource import Login from .user_resource import User from .holding_resource import Holding, HoldingAddExit, HoldingList from .note_resource import Note from .fund_resource import Fund

39

66

0.85641

27

195

6

0.407407

0.432099

0

0.107692

195

5

67

39

0.931034

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

f05738c8e44d70bbda2ff8cb19feed42a12e579c

133

py

Python

friend_rating_server/web/form/login_form.py

ConanYu/FriendRatingServer

6aec0f1849036da4bbcd2669e42a1c7647e9f0c6

[ "MIT" ]

1

2021-05-13T13:16:28.000Z

friend_rating_server/web/form/login_form.py

ConanYu/FriendRatingServer

6aec0f1849036da4bbcd2669e42a1c7647e9f0c6

[ "MIT" ]

1

2021-05-13T13:19:52.000Z

2021-10-09T03:50:02.000Z

friend_rating_server/web/form/login_form.py

ConanYu/FriendRatingServer

6aec0f1849036da4bbcd2669e42a1c7647e9f0c6

[ "MIT" ]

2

2021-05-15T12:47:32.000Z

2021-05-22T03:54:57.000Z

from django import forms class LoginForm(forms.Form): password = forms.CharField(max_length=256, widget=forms.PasswordInput())

22.166667

76

0.774436

17

133

6

0.823529

0

0.025641

0.120301

133

5

77

26.6

0.846154

0

1

0

false

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

f06491115da8bcc824122d74b4b13db9310c3fbf

155

py

Python

tasks/__init__.py

princeton-vl/selfstudy

d18ab26c11843557ee75aaccf6ccb63de85b397c

[ "BSD-3-Clause" ]

55

2020-04-01T15:07:43.000Z

2022-02-21T14:27:54.000Z

tasks/__init__.py

princeton-vl/selfstudy

d18ab26c11843557ee75aaccf6ccb63de85b397c

[ "BSD-3-Clause" ]

null

tasks/__init__.py

princeton-vl/selfstudy

d18ab26c11843557ee75aaccf6ccb63de85b397c

[ "BSD-3-Clause" ]

2

2020-04-27T12:59:34.000Z

2021-03-27T22:07:13.000Z

from .classify import * from .cmc import CMCTask from .rotate import RotateTask from .vae import VAETask from .amdim import AMDIMTask from .depth import *

22.142857

30

0.793548

22

155

5.590909

0.545455

0

0.154839

155

6

31

25.833333

0.938931

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b2f9dd147094689b3b66ac54aba2e510ccaaacc6

2,189

py

Python

mail/mail.py

bewallyt/Classy

f4a672f759da862b37b3980151c37cb0d05504d6

[ "MIT" ]

null

mail/mail.py

bewallyt/Classy

f4a672f759da862b37b3980151c37cb0d05504d6

[ "MIT" ]

null

mail/mail.py

bewallyt/Classy

f4a672f759da862b37b3980151c37cb0d05504d6

[ "MIT" ]

null

from django.core.mail import EmailMessage import datetime def send_post(post): when = post.day_of_week + ', ' + post.show_date if post.not_all_day: when = when + ' at ' + post.show_begin_time email = EmailMessage(to=[post.author.email]) email.template_name = 'post' email.global_merge_vars = { 'content': post.content, 'description': post.description_event, 'location': post.location_event, 'when': when } email.send_at = post.notify_when email.use_template_subject = True email.use_template_from = False email.send(fail_silently=False) response = email.mandrill_response[0] print response return response def send_shared_post(post, email_address, send_time): when = post.day_of_week + ', ' + post.show_date if post.not_all_day: when = when + ' at ' + post.show_begin_time email = EmailMessage(to=[email_address]) email.template_name = 'post' email.global_merge_vars = { 'content': post.content, 'description': post.description_event, 'location': post.location_event, 'when': when } email.send_at = send_time email.use_template_subject = True email.use_template_from = False email.send(fail_silently=False) response = email.mandrill_response[0] print response return response def send_pud(pud): email = EmailMessage(to=[pud.author.email]) email.template_name = 'pud' email.global_merge_vars = { 'content': pud.content, 'priority': pud.priority } email.send_at = pud.created_at + datetime.timedelta(days=pud.notify_when) email.use_template_subject = True email.use_template_from = False email.send(fail_silently=False) if pud.need_repeat: if pud.repeat == 'Daily': email.send_at = email.send_at + datetime.timedelta(days=1) elif pud.repeat == 'Weekly': email.send_at = email.send_at + datetime.timedelta(weeks=1) email.send(fail_silently=False) response = email.mandrill_response[0] print response return response

30.830986

78

0.647328

270

2,189

5.007407

0.222222

0.073225

0.056953

0.06213

0.781805

0.732988

0.675296

0

0.003054

0.25217

2,189

71

79

30.830986

0.822847

0

0.633333

0

0.051415

0

null

0

0.033333

null

0.05

0

null

0

1

0

1

0

null

0

1

0

5

652a6ea67a1fa014efcd6c570af36f2722fd9910

29

py

Python

spec/simple.py

szatkus/polybug

7ec1877d39a75aed5f24f88a91262d6d9a733659

[ "MIT" ]

null

spec/simple.py

szatkus/polybug

7ec1877d39a75aed5f24f88a91262d6d9a733659

[ "MIT" ]

1

2018-05-21T20:18:13.000Z

spec/simple.py

szatkus/polybug

7ec1877d39a75aed5f24f88a91262d6d9a733659

[ "MIT" ]

null

print("test") print("test2")

9.666667

14

0.655172

4

29

4.75

0.75

0

0.037037

0.068966

29

2

15

14.5

0.666667

0

0.310345

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

e8e2abfb83b18844cf348cb29fa820bccccaed1a

141

py

Python

nimare/meta/__init__.py

Julio-Yanes/NiMARE

36bb05034041998519814b55fe402489147fdd63

[ "MIT" ]

null

nimare/meta/__init__.py

Julio-Yanes/NiMARE

36bb05034041998519814b55fe402489147fdd63

[ "MIT" ]

null

nimare/meta/__init__.py

Julio-Yanes/NiMARE

36bb05034041998519814b55fe402489147fdd63

[ "MIT" ]

null

""" Top-level namespace for meta-analyses. """ from . import cbma from . import ibma from . import esma __all__ = ['cbma', 'ibma', 'esma']

14.1

38

0.659574

19

141

4.684211

0.631579

0.337079

0

0.177305

141

9

39

15.666667

0.767241

0.269504

0

0.126316

0

1

0

false

0

0.75

0

0.75

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

3306884b6f9e9ea2190ad7cf9889f93e3e5ccea8

39

py

Python

Day1_print/print.py

ariv14/python_day1

6a649d19669a3952aa55509754a91afebe215066

[ "Apache-2.0" ]

null

Day1_print/print.py

ariv14/python_day1

6a649d19669a3952aa55509754a91afebe215066

[ "Apache-2.0" ]

null

Day1_print/print.py

ariv14/python_day1

6a649d19669a3952aa55509754a91afebe215066

[ "Apache-2.0" ]

null

# Print function print("Hello world!")

13

21

0.717949

5

39

5.6

0.8

0

0.128205

39

2

22

19.5

0.823529

0.358974

0

0.521739

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

33080f54bfb987125e9310ef27e676b05651212f

59

py

Python

dynamic_db_router/__init__.py

jaredlewis/django-dynamic-db-router

ea13d6b0e51e58fe894f453b2a1641892f9bc3dd

[ "MIT" ]

58

2015-05-14T22:48:02.000Z

2021-07-12T23:18:17.000Z

dynamic_db_router/__init__.py

jaredlewis/django-dynamic-db-router

ea13d6b0e51e58fe894f453b2a1641892f9bc3dd

[ "MIT" ]

5

2015-02-19T06:37:53.000Z

2021-12-02T12:48:08.000Z

dynamic_db_router/__init__.py

jaredlewis/django-dynamic-db-router

ea13d6b0e51e58fe894f453b2a1641892f9bc3dd

[ "MIT" ]

20

2015-02-18T22:46:34.000Z

2022-01-08T19:19:18.000Z

from .router import DynamicDbRouter, in_database # NOQA

29.5

58

0.779661

7

59

6.428571

1

0

0.169492

59

1

59

0.918367

0.067797

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

3312a3a032fdf14475cb8cca7911e35f891ffa9a

127

py

Python

app_head.py

project-k-0-1/project-k

fa5be043a3c82daee992d28db25519e2b1b53289

[ "MIT" ]

1

2018-11-30T17:09:11.000Z

app_head.py

Kahroo/kahroo

fa5be043a3c82daee992d28db25519e2b1b53289

[ "MIT" ]

null

app_head.py

Kahroo/kahroo

fa5be043a3c82daee992d28db25519e2b1b53289

[ "MIT" ]

2

2020-12-03T04:30:45.000Z

2021-04-21T09:59:37.000Z

""" html head """ def get_head(content): """ xxx """ return_data = '<head>'+ content +'</head>' return return_data

21.166667

46

0.566929

15

127

4.6

0.533333

0.318841

0

0.220472

127

5

47

25.4

0.69697

0.110236

0

0.131313

0

1

0.333333

false

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

33340fe0a83bf5f0537db77d36796931d6943b18

1,610

py

Python

web/addons/COMPS/__openerp__.py

diogocs1/comps

63df07f6cf21c41e4527c06e2d0499f23f4322e7

[ "Apache-2.0" ]

null

web/addons/COMPS/__openerp__.py

diogocs1/comps

63df07f6cf21c41e4527c06e2d0499f23f4322e7

[ "Apache-2.0" ]

null

web/addons/COMPS/__openerp__.py

diogocs1/comps

63df07f6cf21c41e4527c06e2d0499f23f4322e7

[ "Apache-2.0" ]

null

# encoding: UTF-8 { "name":u'CoMPS', 'version': '1.0', 'category': u'Saúde', 'depends':[], 'data':[ 'views/qweb/comps_template.xml', 'security/comps_security.xml', 'security/ir.model.access.csv', 'views/cadastro_usuarios_view.xml', 'views/cadastro_escola_view.xml', 'views/cadastro_avaliador_view.xml', 'views/cadastro_aluno_view.xml', 'views/avaliacao_imc_view.xml', "views/avaliacao_abdominal_view.xml", "views/avaliacao_perimetro_view.xml", "views/avaliacao_dobras_cutaneas_view.xml", "views/avaliacao_impulsao_horizontal_view.xml", "views/avaliacao_sentar_alcancar_view.xml", "views/avaliacao_preensao_manual_view.xml", "views/avaliacao_lancamento_unilateral_view.xml", "views/avaliacao_lancamento_simultaneo_view.xml", "views/avaliacao_corrida_25m_view.xml", "views/avaliacao_shutllerun_10x5m_view.xml", "views/avaliacao_shutllerun_20m_view.xml", "views/avaliacao_equilibrio_retaguarda_view.xml", "views/avaliacao_saltos_laterais_view.xml", "views/avaliacao_transposicao_lateral_view.xml", "views/avaliacao_saltos_monopedais_perna_direita_view.xml", "views/avaliacoes_pendentes_view.xml", ], 'css': [ 'static/src/css/*.css', ], 'js': [ 'static/src/js/*.js' ], 'installable': True, 'application': True, 'auto_install': False, }

38.333333

71

0.610559

165

1,610

5.593939

0.418182

0.159263

0.260022

0.36403

0.192849

0

0.008467

0.26646

1,610

42

72

38.333333

0.773074

0.009317

0

0.073171

0

0.638645

0.563363

0

1

0

true

0

null

0

1

0

1

null

0

1

0

5

3341e4451b3e90d61045338d985f82ca048531a6

100

py

Python

clip/__init__.py

Wuziyi616/CLIP

ef2d10cda88e30f4410c1f98abfb7c95b6e5a598

[ "MIT" ]

null

clip/__init__.py

Wuziyi616/CLIP

ef2d10cda88e30f4410c1f98abfb7c95b6e5a598

[ "MIT" ]

null

clip/__init__.py

Wuziyi616/CLIP

ef2d10cda88e30f4410c1f98abfb7c95b6e5a598

[ "MIT" ]

1

2021-12-04T00:21:14.000Z

from .clip import * from .model import convert_weights, convert_models_to_fp32, freeze_text_encoder

33.333333

79

0.85

15

100

5.266667

0.8

0

0.022222

0.1

100

2

80

50

0.855556

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

334a9cafe8b3449672bf7848ad9ffc75b18b3ce9

105

py

Python

skip/history/skip/data/__init__.py

houzeyu2683/k1

398d44183019781c02340c6b70a586b67bc6bb4d

[ "Apache-2.0" ]

null

skip/history/skip/data/__init__.py

houzeyu2683/k1

398d44183019781c02340c6b70a586b67bc6bb4d

[ "Apache-2.0" ]

null

skip/history/skip/data/__init__.py

houzeyu2683/k1

398d44183019781c02340c6b70a586b67bc6bb4d

[ "Apache-2.0" ]

null

from .table import table from .split import split from .dataset import dataset from .cache import cache

17.5

28

0.8

16

105

5.25

0.375

0

0.161905

105

5

29

21

0.954545

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

336b5c94c6348990ded89868f25d6c9cd2a34f85

45,751

py

Python

objects/CSCG/_3d/mesh/domain/regions/region/interpolations/transfinite.py

mathischeap/mifem

3242e253fb01ca205a76568eaac7bbdb99e3f059

[ "MIT" ]

1

2020-10-14T12:48:35.000Z

objects/CSCG/_3d/mesh/domain/regions/region/interpolations/transfinite.py

mathischeap/mifem

3242e253fb01ca205a76568eaac7bbdb99e3f059

[ "MIT" ]

null

objects/CSCG/_3d/mesh/domain/regions/region/interpolations/transfinite.py

mathischeap/mifem

3242e253fb01ca205a76568eaac7bbdb99e3f059

[ "MIT" ]

null

from root.config.main import * import random from objects.CSCG._3d.mesh.domain.regions.region.interpolations.base import InterpolationBase from screws.exceptions import ThreeDimensionalTransfiniteInterpolationError from screws.numerical._2d_space.Jacobian_21 import NumericalPartialDerivative_xy class Transfinite(InterpolationBase): """ The Transfinite interpolation in 3D. """ def __init__(self, region): """ To initialize a transfinite interpolation, we take a regions as input. Parameters ---------- region : Region """ super().__init__(region) assert all([region._side_geometries_[key].__class__.__name__ != 'Free' for key in region._side_geometries_]), \ " <Transfinite> : I do not accept `Free` side geometries. " self.___check_line_consistency___() self.___check_Jacobian___() self._freeze_self_() def ___check_line_consistency___(self): """ We know that trace to a line from two sides should result in the same line function. So we do this check to see if the provided _side_geometries_ are correct. Notice that we do not have to check the corner consistency anymore if this check is all right. """ I = random.randint(2, 4) rst = np.linspace(0, 1, I) _NW_, _WN_ = self.___NW___(rst), self.___WN___(rst) _NE_, _EN_ = self.___NE___(rst), self.___EN___(rst) _NB_, _BN_ = self.___NB___(rst), self.___BN___(rst) _NF_, _FN_ = self.___NF___(rst), self.___FN___(rst) _SW_, _WS_ = self.___SW___(rst), self.___WS___(rst) _SE_, _ES_ = self.___SE___(rst), self.___ES___(rst) _SB_, _BS_ = self.___SB___(rst), self.___BS___(rst) _SF_, _FS_ = self.___SF___(rst), self.___FS___(rst) _WB_, _BW_ = self.___WB___(rst), self.___BW___(rst) _WF_, _FW_ = self.___WF___(rst), self.___FW___(rst) _EB_, _BE_ = self.___EB___(rst), self.___BE___(rst) _EF_, _FE_ = self.___EF___(rst), self.___FE___(rst) try: for i in range(3): np.testing.assert_array_almost_equal(_NW_[i], _WN_[i]) np.testing.assert_array_almost_equal(_NE_[i], _EN_[i]) np.testing.assert_array_almost_equal(_NB_[i], _BN_[i]) np.testing.assert_array_almost_equal(_NF_[i], _FN_[i]) np.testing.assert_array_almost_equal(_SW_[i], _WS_[i]) np.testing.assert_array_almost_equal(_SE_[i], _ES_[i]) np.testing.assert_array_almost_equal(_SB_[i], _BS_[i]) np.testing.assert_array_almost_equal(_SF_[i], _FS_[i]) np.testing.assert_array_almost_equal(_WB_[i], _BW_[i]) np.testing.assert_array_almost_equal(_WF_[i], _FW_[i]) np.testing.assert_array_almost_equal(_EB_[i], _BE_[i]) np.testing.assert_array_almost_equal(_EF_[i], _FE_[i]) raise_Error = False except AssertionError: raise_Error = True raise_Error = cOmm.allreduce(raise_Error, op=MPI.LOR) if raise_Error: raise ThreeDimensionalTransfiniteInterpolationError( "Something is wrong with 3d TransfiniteInterpolation") def ___check_Jacobian___(self): """ """ p = np.random.rand(7, 5) q = np.random.rand(7, 5) for side in ('N', 'S', 'W', 'E', 'B', 'F'): X = self._region_._side_geometries_[side].X Y = self._region_._side_geometries_[side].Y Z = self._region_._side_geometries_[side].Z Xp = self._region_._side_geometries_[side].Xp Xq = self._region_._side_geometries_[side].Xq Yp = self._region_._side_geometries_[side].Yp Yq = self._region_._side_geometries_[side].Yq Zp = self._region_._side_geometries_[side].Zp Zq = self._region_._side_geometries_[side].Zq XNJ = NumericalPartialDerivative_xy(X, p, q) assert all(XNJ.check_total(Xp, Xq)), " <Transfinite> : X, Xp, Xq wrong" YNJ = NumericalPartialDerivative_xy(Y, p, q) assert all(YNJ.check_total(Yp, Yq)), " <Transfinite> : Y, Yp, Yq wrong" ZNJ = NumericalPartialDerivative_xy(Z, p, q) assert all(ZNJ.check_total(Zp, Zq)), " <Transfinite> : Z, Zp, Zq wrong" def mapping(self, r, s, t): """ r, s, t be in [0, 1]. """ r, s, t = self.___check_rst___(r, s, t) N = self.___NnN___(s, t) S = self.___SsS___(s, t) W = self.___WwW___(r, t) E = self.___EeE___(r, t) B = self.___BbB___(r, s) F = self.___FfF___(r, s) NW = self.___NW___(t) NE = self.___NE___(t) SW = self.___SW___(t) SE = self.___SE___(t) NB = self.___NB___(s) NF = self.___NF___(s) SB = self.___SB___(s) SF = self.___SF___(s) WB = self.___WB___(r) WF = self.___WF___(r) EB = self.___EB___(r) EF = self.___EF___(r) NWB = self.___N_W_B___ NWF = self.___N_W_F___ NEB = self.___N_E_B___ NEF = self.___N_E_F___ SWB = self.___S_W_B___ SWF = self.___S_W_F___ SEB = self.___S_E_B___ SEF = self.___S_E_F___ x1 = (1 - r) * N + r * S x2 = (1 - s) * W + s * E x3 = (1 - t) * B + t * F x12 = (1 - r) * (1 - s) * NW + (1 - r) * s * NE + r * (1 - s) * SW + r * s * SE x13 = (1 - r) * (1 - t) * NB + (1 - r) * t * NF + r * (1 - t) * SB + r * t * SF x23 = (1 - s) * (1 - t) * WB + (1 - s) * t * WF + s * (1 - t) * EB + s * t * EF x123 = [None, None, None] for i in range(3): x123[i] = + (1 - r) * (1 - s) * (1 - t) * NWB[i] \ + (1 - r) * (1 - s) * t * NWF[i] \ + (1 - r) * s * (1 - t) * NEB[i] \ + (1 - r) * s * t * NEF[i] \ + r * (1 - s) * (1 - t) * SWB[i] \ + r * (1 - s) * t * SWF[i] \ + r * s * (1 - t) * SEB[i] \ + r * s * t * SEF[i] X = x1 + x2 + x3 - x12 - x13 - x23 + x123 return X def mapping_X(self, r, s, t): """ r, s, t be in [0, 1]. """ r, s, t = self.___check_rst___(r, s, t) N = self.___NnN___(s, t)[0] S = self.___SsS___(s, t)[0] W = self.___WwW___(r, t)[0] E = self.___EeE___(r, t)[0] B = self.___BbB___(r, s)[0] F = self.___FfF___(r, s)[0] NW = self.___NW___(t)[0] NE = self.___NE___(t)[0] SW = self.___SW___(t)[0] SE = self.___SE___(t)[0] NB = self.___NB___(s)[0] NF = self.___NF___(s)[0] SB = self.___SB___(s)[0] SF = self.___SF___(s)[0] WB = self.___WB___(r)[0] WF = self.___WF___(r)[0] EB = self.___EB___(r)[0] EF = self.___EF___(r)[0] NWB = self.___N_W_B___[0] NWF = self.___N_W_F___[0] NEB = self.___N_E_B___[0] NEF = self.___N_E_F___[0] SWB = self.___S_W_B___[0] SWF = self.___S_W_F___[0] SEB = self.___S_E_B___[0] SEF = self.___S_E_F___[0] x1 = (1 - r) * N + r * S x2 = (1 - s) * W + s * E x3 = (1 - t) * B + t * F x12 = (1 - r) * (1 - s) * NW + (1 - r) * s * NE + r * (1 - s) * SW + r * s * SE x13 = (1 - r) * (1 - t) * NB + (1 - r) * t * NF + r * (1 - t) * SB + r * t * SF x23 = (1 - s) * (1 - t) * WB + (1 - s) * t * WF + s * (1 - t) * EB + s * t * EF x123 = + (1 - r) * (1 - s) * (1 - t) * NWB \ + (1 - r) * (1 - s) * t * NWF \ + (1 - r) * s * (1 - t) * NEB \ + (1 - r) * s * t * NEF \ + r * (1 - s) * (1 - t) * SWB \ + r * (1 - s) * t * SWF \ + r * s * (1 - t) * SEB \ + r * s * t * SEF X = x1 + x2 + x3 - x12 - x13 - x23 + x123 return X def mapping_Y(self, r, s, t): """ r, s, t be in [0, 1]. """ r, s, t = self.___check_rst___(r, s, t) N = self.___NnN___(s, t)[1] S = self.___SsS___(s, t)[1] W = self.___WwW___(r, t)[1] E = self.___EeE___(r, t)[1] B = self.___BbB___(r, s)[1] F = self.___FfF___(r, s)[1] NW = self.___NW___(t)[1] NE = self.___NE___(t)[1] SW = self.___SW___(t)[1] SE = self.___SE___(t)[1] NB = self.___NB___(s)[1] NF = self.___NF___(s)[1] SB = self.___SB___(s)[1] SF = self.___SF___(s)[1] WB = self.___WB___(r)[1] WF = self.___WF___(r)[1] EB = self.___EB___(r)[1] EF = self.___EF___(r)[1] NWB = self.___N_W_B___[1] NWF = self.___N_W_F___[1] NEB = self.___N_E_B___[1] NEF = self.___N_E_F___[1] SWB = self.___S_W_B___[1] SWF = self.___S_W_F___[1] SEB = self.___S_E_B___[1] SEF = self.___S_E_F___[1] x1 = (1 - r) * N + r * S x2 = (1 - s) * W + s * E x3 = (1 - t) * B + t * F x12 = (1 - r) * (1 - s) * NW + (1 - r) * s * NE + r * (1 - s) * SW + r * s * SE x13 = (1 - r) * (1 - t) * NB + (1 - r) * t * NF + r * (1 - t) * SB + r * t * SF x23 = (1 - s) * (1 - t) * WB + (1 - s) * t * WF + s * (1 - t) * EB + s * t * EF x123 = + (1 - r) * (1 - s) * (1 - t) * NWB \ + (1 - r) * (1 - s) * t * NWF \ + (1 - r) * s * (1 - t) * NEB \ + (1 - r) * s * t * NEF \ + r * (1 - s) * (1 - t) * SWB \ + r * (1 - s) * t * SWF \ + r * s * (1 - t) * SEB \ + r * s * t * SEF Y = x1 + x2 + x3 - x12 - x13 - x23 + x123 return Y def mapping_Z(self, r, s, t): """ r, s, t be in [0, 1]. """ r, s, t = self.___check_rst___(r, s, t) N = self.___NnN___(s, t)[2] S = self.___SsS___(s, t)[2] W = self.___WwW___(r, t)[2] E = self.___EeE___(r, t)[2] B = self.___BbB___(r, s)[2] F = self.___FfF___(r, s)[2] NW = self.___NW___(t)[2] NE = self.___NE___(t)[2] SW = self.___SW___(t)[2] SE = self.___SE___(t)[2] NB = self.___NB___(s)[2] NF = self.___NF___(s)[2] SB = self.___SB___(s)[2] SF = self.___SF___(s)[2] WB = self.___WB___(r)[2] WF = self.___WF___(r)[2] EB = self.___EB___(r)[2] EF = self.___EF___(r)[2] NWB = self.___N_W_B___[2] NWF = self.___N_W_F___[2] NEB = self.___N_E_B___[2] NEF = self.___N_E_F___[2] SWB = self.___S_W_B___[2] SWF = self.___S_W_F___[2] SEB = self.___S_E_B___[2] SEF = self.___S_E_F___[2] x1 = (1 - r) * N + r * S x2 = (1 - s) * W + s * E x3 = (1 - t) * B + t * F x12 = (1 - r) * (1 - s) * NW + (1 - r) * s * NE + r * (1 - s) * SW + r * s * SE x13 = (1 - r) * (1 - t) * NB + (1 - r) * t * NF + r * (1 - t) * SB + r * t * SF x23 = (1 - s) * (1 - t) * WB + (1 - s) * t * WF + s * (1 - t) * EB + s * t * EF x123 = + (1 - r) * (1 - s) * (1 - t) * NWB \ + (1 - r) * (1 - s) * t * NWF \ + (1 - r) * s * (1 - t) * NEB \ + (1 - r) * s * t * NEF \ + r * (1 - s) * (1 - t) * SWB \ + r * (1 - s) * t * SWF \ + r * s * (1 - t) * SEB \ + r * s * t * SEF Z = x1 + x2 + x3 - x12 - x13 - x23 + x123 return Z def Jacobian_matrix(self, r, s, t): """ r, s, t be in [0, 1]. """ r, s, t = self.___check_rst___(r, s, t) _1_ = np.ones(np.shape(r)) N = self.___NnN___(s, t) S = self.___SsS___(s, t) Ns = self.___Ns_Ns___(s, t) Ss = self.___Ss_Ss___(s, t) Nt = self.___Nt_Nt___(s, t) St = self.___St_St___(s, t) W = self.___WwW___(r, t) E = self.___EeE___(r, t) Wr = self.___Wr_Wr___(r, t) Er = self.___Er_Er___(r, t) Wt = self.___Wt_Wt___(r, t) Et = self.___Et_Et___(r, t) B = self.___BbB___(r, s) F = self.___FfF___(r, s) Br = self.___Br_Br___(r, s) Fr = self.___Fr_Fr___(r, s) Bs = self.___Bs_Bs___(r, s) Fs = self.___Fs_Fs___(r, s) NW = self.___NW___(t) NE = self.___NE___(t) SW = self.___SW___(t) SE = self.___SE___(t) NWt = self.___NW_t___(t) NEt = self.___NE_t___(t) SWt = self.___SW_t___(t) SEt = self.___SE_t___(t) NB = self.___NB___(s) NF = self.___NF___(s) SB = self.___SB___(s) SF = self.___SF___(s) NBs = self.___NB_s___(s) NFs = self.___NF_s___(s) SBs = self.___SB_s___(s) SFs = self.___SF_s___(s) WB = self.___WB___(r) WF = self.___WF___(r) EB = self.___EB___(r) EF = self.___EF___(r) WBr = self.___WB_r___(r) WFr = self.___WF_r___(r) EBr = self.___EB_r___(r) EFr = self.___EF_r___(r) NWB = self.___N_W_B___ NWF = self.___N_W_F___ NEB = self.___N_E_B___ NEF = self.___N_E_F___ SWB = self.___S_W_B___ SWF = self.___S_W_F___ SEB = self.___S_E_B___ SEF = self.___S_E_F___ x1 = -_1_ * N + _1_ * S x2 = (1 - s) * Wr + s * Er x3 = (1 - t) * Br + t * Fr x12 = -s * NE - (1 - s) * NW + (1 - s) * SW + s * SE x13 = -t * NF - (1 - t) * NB + (1 - t) * SB + t * SF x23 = (1 - s) * (1 - t) * WBr + (1 - s) * t * WFr + s * (1 - t) * EBr + s * t * EFr x123 = [None, None, None] for i in range(3): x123[i] = - (1 - s) * (1 - t) * NWB[i] \ - (1 - s) * t * NWF[i] \ - s * (1 - t) * NEB[i] \ - s * t * NEF[i] \ + (1 - s) * (1 - t) * SWB[i] \ + (1 - s) * t * SWF[i] \ + s * (1 - t) * SEB[i] \ + s * t * SEF[i] xr, yr, zr = x1 + x2 + x3 - x12 - x13 - x23 + x123 x1 = (1 - r) * Ns + r * Ss x2 = -_1_ * W + _1_ * E x3 = (1 - t) * Bs + t * Fs x12 = -(1 - r) * NW + (1 - r) * NE - r * SW + r * SE x13 = (1 - r) * (1 - t) * NBs + (1 - r) * t * NFs + r * (1 - t) * SBs + r * t * SFs x23 = -t * WF - (1 - t) * WB + (1 - t) * EB + t * EF x123 = [None, None, None] for i in range(3): x123[i] = - (1 - r) * (1 - t) * NWB[i] \ - (1 - r) * t * NWF[i] \ + (1 - r) * (1 - t) * NEB[i] \ + (1 - r) * t * NEF[i] \ - r * (1 - t) * SWB[i] \ - r * t * SWF[i] \ + r * (1 - t) * SEB[i] \ + r * t * SEF[i] xs, ys, zs = x1 + x2 + x3 - x12 - x13 - x23 + x123 x1 = (1 - r) * Nt + r * St x2 = (1 - s) * Wt + s * Et x3 = -_1_ * B + _1_ * F x12 = (1 - r) * (1 - s) * NWt + (1 - r) * s * NEt + r * (1 - s) * SWt + r * s * SEt x13 = -(1 - r) * NB + (1 - r) * NF - r * SB + r * SF x23 = -(1 - s) * WB + (1 - s) * WF - s * EB + s * EF x123 = [None, None, None] for i in range(3): x123[i] = - (1 - r) * (1 - s) * NWB[i] \ + (1 - r) * (1 - s) * NWF[i] \ - (1 - r) * s * NEB[i] \ + (1 - r) * s * NEF[i] \ - r * (1 - s) * SWB[i] \ + r * (1 - s) * SWF[i] \ - r * s * SEB[i] \ + r * s * SEF[i] xt, yt, zt = x1 + x2 + x3 - x12 - x13 - x23 + x123 return ((xr, xs, xt), (yr, ys, yt), (zr, zs, zt)) def Jacobian_Xr(self, r, s, t): """ r, s, t be in [0, 1]. """ r, s, t = self.___check_rst___(r, s, t) _1_ = np.ones(np.shape(r)) N = self.___NnN___(s, t)[0] S = self.___SsS___(s, t)[0] Wr = self.___Wr_Wr___(r, t)[0] Er = self.___Er_Er___(r, t)[0] Br = self.___Br_Br___(r, s)[0] Fr = self.___Fr_Fr___(r, s)[0] NW = self.___NW___(t)[0] NE = self.___NE___(t)[0] SW = self.___SW___(t)[0] SE = self.___SE___(t)[0] NB = self.___NB___(s)[0] NF = self.___NF___(s)[0] SB = self.___SB___(s)[0] SF = self.___SF___(s)[0] WBr = self.___WB_r___(r)[0] WFr = self.___WF_r___(r)[0] EBr = self.___EB_r___(r)[0] EFr = self.___EF_r___(r)[0] NWB = self.___N_W_B___[0] NWF = self.___N_W_F___[0] NEB = self.___N_E_B___[0] NEF = self.___N_E_F___[0] SWB = self.___S_W_B___[0] SWF = self.___S_W_F___[0] SEB = self.___S_E_B___[0] SEF = self.___S_E_F___[0] x1 = -_1_ * N + _1_ * S x2 = (1 - s) * Wr + s * Er x3 = (1 - t) * Br + t * Fr x12 = -s * NE - (1 - s) * NW + (1 - s) * SW + s * SE x13 = -t * NF - (1 - t) * NB + (1 - t) * SB + t * SF x23 = (1 - s) * (1 - t) * WBr + (1 - s) * t * WFr + s * (1 - t) * EBr + s * t * EFr x123 = - (1 - s) * (1 - t) * NWB \ - (1 - s) * t * NWF \ - s * (1 - t) * NEB \ - s * t * NEF \ + (1 - s) * (1 - t) * SWB \ + (1 - s) * t * SWF \ + s * (1 - t) * SEB \ + s * t * SEF xr = x1 + x2 + x3 - x12 - x13 - x23 + x123 return xr def Jacobian_Xs(self, r, s, t): """ r, s, t be in [0, 1]. """ r, s, t = self.___check_rst___(r, s, t) _1_ = np.ones(np.shape(r)) Ns = self.___Ns_Ns___(s, t)[0] Ss = self.___Ss_Ss___(s, t)[0] W = self.___WwW___(r, t)[0] E = self.___EeE___(r, t)[0] Bs = self.___Bs_Bs___(r, s)[0] Fs = self.___Fs_Fs___(r, s)[0] NW = self.___NW___(t)[0] NE = self.___NE___(t)[0] SW = self.___SW___(t)[0] SE = self.___SE___(t)[0] NBs = self.___NB_s___(s)[0] NFs = self.___NF_s___(s)[0] SBs = self.___SB_s___(s)[0] SFs = self.___SF_s___(s)[0] WB = self.___WB___(r)[0] WF = self.___WF___(r)[0] EB = self.___EB___(r)[0] EF = self.___EF___(r)[0] NWB = self.___N_W_B___[0] NWF = self.___N_W_F___[0] NEB = self.___N_E_B___[0] NEF = self.___N_E_F___[0] SWB = self.___S_W_B___[0] SWF = self.___S_W_F___[0] SEB = self.___S_E_B___[0] SEF = self.___S_E_F___[0] x1 = (1 - r) * Ns + r * Ss x2 = -_1_ * W + _1_ * E x3 = (1 - t) * Bs + t * Fs x12 = -(1 - r) * NW + (1 - r) * NE - r * SW + r * SE x13 = (1 - r) * (1 - t) * NBs + (1 - r) * t * NFs + r * (1 - t) * SBs + r * t * SFs x23 = -t * WF - (1 - t) * WB + (1 - t) * EB + t * EF x123 = - (1 - r) * (1 - t) * NWB \ - (1 - r) * t * NWF \ + (1 - r) * (1 - t) * NEB \ + (1 - r) * t * NEF \ - r * (1 - t) * SWB \ - r * t * SWF \ + r * (1 - t) * SEB \ + r * t * SEF xs = x1 + x2 + x3 - x12 - x13 - x23 + x123 return xs def Jacobian_Xt(self, r, s, t): """ r, s, t be in [0, 1]. """ r, s, t = self.___check_rst___(r, s, t) _1_ = np.ones(np.shape(r)) Nt = self.___Nt_Nt___(s, t)[0] St = self.___St_St___(s, t)[0] Wt = self.___Wt_Wt___(r, t)[0] Et = self.___Et_Et___(r, t)[0] B = self.___BbB___(r, s)[0] F = self.___FfF___(r, s)[0] NWt = self.___NW_t___(t)[0] NEt = self.___NE_t___(t)[0] SWt = self.___SW_t___(t)[0] SEt = self.___SE_t___(t)[0] NB = self.___NB___(s)[0] NF = self.___NF___(s)[0] SB = self.___SB___(s)[0] SF = self.___SF___(s)[0] WB = self.___WB___(r)[0] WF = self.___WF___(r)[0] EB = self.___EB___(r)[0] EF = self.___EF___(r)[0] NWB = self.___N_W_B___[0] NWF = self.___N_W_F___[0] NEB = self.___N_E_B___[0] NEF = self.___N_E_F___[0] SWB = self.___S_W_B___[0] SWF = self.___S_W_F___[0] SEB = self.___S_E_B___[0] SEF = self.___S_E_F___[0] x1 = (1 - r) * Nt + r * St x2 = (1 - s) * Wt + s * Et x3 = -_1_ * B + _1_ * F x12 = (1 - r) * (1 - s) * NWt + (1 - r) * s * NEt + r * (1 - s) * SWt + r * s * SEt x13 = -(1 - r) * NB + (1 - r) * NF - r * SB + r * SF x23 = -(1 - s) * WB + (1 - s) * WF - s * EB + s * EF x123 = - (1 - r) * (1 - s) * NWB \ + (1 - r) * (1 - s) * NWF \ - (1 - r) * s * NEB \ + (1 - r) * s * NEF \ - r * (1 - s) * SWB \ + r * (1 - s) * SWF \ - r * s * SEB \ + r * s * SEF xt = x1 + x2 + x3 - x12 - x13 - x23 + x123 return xt def Jacobian_Yr(self, r, s, t): """ r, s, t be in [0, 1]. """ r, s, t = self.___check_rst___(r, s, t) _1_ = np.ones(np.shape(r)) N = self.___NnN___(s, t)[1] S = self.___SsS___(s, t)[1] Wr = self.___Wr_Wr___(r, t)[1] Er = self.___Er_Er___(r, t)[1] Br = self.___Br_Br___(r, s)[1] Fr = self.___Fr_Fr___(r, s)[1] NW = self.___NW___(t)[1] NE = self.___NE___(t)[1] SW = self.___SW___(t)[1] SE = self.___SE___(t)[1] NB = self.___NB___(s)[1] NF = self.___NF___(s)[1] SB = self.___SB___(s)[1] SF = self.___SF___(s)[1] WBr = self.___WB_r___(r)[1] WFr = self.___WF_r___(r)[1] EBr = self.___EB_r___(r)[1] EFr = self.___EF_r___(r)[1] NWB = self.___N_W_B___[1] NWF = self.___N_W_F___[1] NEB = self.___N_E_B___[1] NEF = self.___N_E_F___[1] SWB = self.___S_W_B___[1] SWF = self.___S_W_F___[1] SEB = self.___S_E_B___[1] SEF = self.___S_E_F___[1] x1 = -_1_ * N + _1_ * S x2 = (1 - s) * Wr + s * Er x3 = (1 - t) * Br + t * Fr x12 = -s * NE - (1 - s) * NW + (1 - s) * SW + s * SE x13 = -t * NF - (1 - t) * NB + (1 - t) * SB + t * SF x23 = (1 - s) * (1 - t) * WBr + (1 - s) * t * WFr + s * (1 - t) * EBr + s * t * EFr x123 = - (1 - s) * (1 - t) * NWB \ - (1 - s) * t * NWF \ - s * (1 - t) * NEB \ - s * t * NEF \ + (1 - s) * (1 - t) * SWB \ + (1 - s) * t * SWF \ + s * (1 - t) * SEB \ + s * t * SEF yr = x1 + x2 + x3 - x12 - x13 - x23 + x123 return yr def Jacobian_Ys(self, r, s, t): """ r, s, t be in [0, 1]. """ r, s, t = self.___check_rst___(r, s, t) _1_ = np.ones(np.shape(r)) Ns = self.___Ns_Ns___(s, t)[1] Ss = self.___Ss_Ss___(s, t)[1] W = self.___WwW___(r, t)[1] E = self.___EeE___(r, t)[1] Bs = self.___Bs_Bs___(r, s)[1] Fs = self.___Fs_Fs___(r, s)[1] NW = self.___NW___(t)[1] NE = self.___NE___(t)[1] SW = self.___SW___(t)[1] SE = self.___SE___(t)[1] NBs = self.___NB_s___(s)[1] NFs = self.___NF_s___(s)[1] SBs = self.___SB_s___(s)[1] SFs = self.___SF_s___(s)[1] WB = self.___WB___(r)[1] WF = self.___WF___(r)[1] EB = self.___EB___(r)[1] EF = self.___EF___(r)[1] NWB = self.___N_W_B___[1] NWF = self.___N_W_F___[1] NEB = self.___N_E_B___[1] NEF = self.___N_E_F___[1] SWB = self.___S_W_B___[1] SWF = self.___S_W_F___[1] SEB = self.___S_E_B___[1] SEF = self.___S_E_F___[1] x1 = (1 - r) * Ns + r * Ss x2 = -_1_ * W + _1_ * E x3 = (1 - t) * Bs + t * Fs x12 = -(1 - r) * NW + (1 - r) * NE - r * SW + r * SE x13 = (1 - r) * (1 - t) * NBs + (1 - r) * t * NFs + r * (1 - t) * SBs + r * t * SFs x23 = -t * WF - (1 - t) * WB + (1 - t) * EB + t * EF x123 = - (1 - r) * (1 - t) * NWB \ - (1 - r) * t * NWF \ + (1 - r) * (1 - t) * NEB \ + (1 - r) * t * NEF \ - r * (1 - t) * SWB \ - r * t * SWF \ + r * (1 - t) * SEB \ + r * t * SEF ys = x1 + x2 + x3 - x12 - x13 - x23 + x123 return ys def Jacobian_Yt(self, r, s, t): """ r, s, t be in [0, 1]. """ r, s, t = self.___check_rst___(r, s, t) _1_ = np.ones(np.shape(r)) Nt = self.___Nt_Nt___(s, t)[1] St = self.___St_St___(s, t)[1] Wt = self.___Wt_Wt___(r, t)[1] Et = self.___Et_Et___(r, t)[1] B = self.___BbB___(r, s)[1] F = self.___FfF___(r, s)[1] NWt = self.___NW_t___(t)[1] NEt = self.___NE_t___(t)[1] SWt = self.___SW_t___(t)[1] SEt = self.___SE_t___(t)[1] NB = self.___NB___(s)[1] NF = self.___NF___(s)[1] SB = self.___SB___(s)[1] SF = self.___SF___(s)[1] WB = self.___WB___(r)[1] WF = self.___WF___(r)[1] EB = self.___EB___(r)[1] EF = self.___EF___(r)[1] NWB = self.___N_W_B___[1] NWF = self.___N_W_F___[1] NEB = self.___N_E_B___[1] NEF = self.___N_E_F___[1] SWB = self.___S_W_B___[1] SWF = self.___S_W_F___[1] SEB = self.___S_E_B___[1] SEF = self.___S_E_F___[1] x1 = (1 - r) * Nt + r * St x2 = (1 - s) * Wt + s * Et x3 = -_1_ * B + _1_ * F x12 = (1 - r) * (1 - s) * NWt + (1 - r) * s * NEt + r * (1 - s) * SWt + r * s * SEt x13 = -(1 - r) * NB + (1 - r) * NF - r * SB + r * SF x23 = -(1 - s) * WB + (1 - s) * WF - s * EB + s * EF x123 = - (1 - r) * (1 - s) * NWB \ + (1 - r) * (1 - s) * NWF \ - (1 - r) * s * NEB \ + (1 - r) * s * NEF \ - r * (1 - s) * SWB \ + r * (1 - s) * SWF \ - r * s * SEB \ + r * s * SEF yt = x1 + x2 + x3 - x12 - x13 - x23 + x123 return yt def Jacobian_Zr(self, r, s, t): """ r, s, t be in [0, 1]. """ r, s, t = self.___check_rst___(r, s, t) _1_ = np.ones(np.shape(r)) N = self.___NnN___(s, t)[2] S = self.___SsS___(s, t)[2] Wr = self.___Wr_Wr___(r, t)[2] Er = self.___Er_Er___(r, t)[2] Br = self.___Br_Br___(r, s)[2] Fr = self.___Fr_Fr___(r, s)[2] NW = self.___NW___(t)[2] NE = self.___NE___(t)[2] SW = self.___SW___(t)[2] SE = self.___SE___(t)[2] NB = self.___NB___(s)[2] NF = self.___NF___(s)[2] SB = self.___SB___(s)[2] SF = self.___SF___(s)[2] WBr = self.___WB_r___(r)[2] WFr = self.___WF_r___(r)[2] EBr = self.___EB_r___(r)[2] EFr = self.___EF_r___(r)[2] NWB = self.___N_W_B___[2] NWF = self.___N_W_F___[2] NEB = self.___N_E_B___[2] NEF = self.___N_E_F___[2] SWB = self.___S_W_B___[2] SWF = self.___S_W_F___[2] SEB = self.___S_E_B___[2] SEF = self.___S_E_F___[2] x1 = -_1_ * N + _1_ * S x2 = (1 - s) * Wr + s * Er x3 = (1 - t) * Br + t * Fr x12 = -s * NE - (1 - s) * NW + (1 - s) * SW + s * SE x13 = -t * NF - (1 - t) * NB + (1 - t) * SB + t * SF x23 = (1 - s) * (1 - t) * WBr + (1 - s) * t * WFr + s * (1 - t) * EBr + s * t * EFr x123 = - (1 - s) * (1 - t) * NWB \ - (1 - s) * t * NWF \ - s * (1 - t) * NEB \ - s * t * NEF \ + (1 - s) * (1 - t) * SWB \ + (1 - s) * t * SWF \ + s * (1 - t) * SEB \ + s * t * SEF zr = x1 + x2 + x3 - x12 - x13 - x23 + x123 return zr def Jacobian_Zs(self, r, s, t): """ r, s, t be in [0, 1]. """ r, s, t = self.___check_rst___(r, s, t) _1_ = np.ones(np.shape(r)) Ns = self.___Ns_Ns___(s, t)[2] Ss = self.___Ss_Ss___(s, t)[2] W = self.___WwW___(r, t)[2] E = self.___EeE___(r, t)[2] Bs = self.___Bs_Bs___(r, s)[2] Fs = self.___Fs_Fs___(r, s)[2] NW = self.___NW___(t)[2] NE = self.___NE___(t)[2] SW = self.___SW___(t)[2] SE = self.___SE___(t)[2] NBs = self.___NB_s___(s)[2] NFs = self.___NF_s___(s)[2] SBs = self.___SB_s___(s)[2] SFs = self.___SF_s___(s)[2] WB = self.___WB___(r)[2] WF = self.___WF___(r)[2] EB = self.___EB___(r)[2] EF = self.___EF___(r)[2] NWB = self.___N_W_B___[2] NWF = self.___N_W_F___[2] NEB = self.___N_E_B___[2] NEF = self.___N_E_F___[2] SWB = self.___S_W_B___[2] SWF = self.___S_W_F___[2] SEB = self.___S_E_B___[2] SEF = self.___S_E_F___[2] x1 = (1 - r) * Ns + r * Ss x2 = -_1_ * W + _1_ * E x3 = (1 - t) * Bs + t * Fs x12 = -(1 - r) * NW + (1 - r) * NE - r * SW + r * SE x13 = (1 - r) * (1 - t) * NBs + (1 - r) * t * NFs + r * (1 - t) * SBs + r * t * SFs x23 = -t * WF - (1 - t) * WB + (1 - t) * EB + t * EF x123 = - (1 - r) * (1 - t) * NWB \ - (1 - r) * t * NWF \ + (1 - r) * (1 - t) * NEB \ + (1 - r) * t * NEF \ - r * (1 - t) * SWB \ - r * t * SWF \ + r * (1 - t) * SEB \ + r * t * SEF zs = x1 + x2 + x3 - x12 - x13 - x23 + x123 return zs def Jacobian_Zt(self, r, s, t): """ r, s, t be in [0, 1]. """ r, s, t = self.___check_rst___(r, s, t) _1_ = np.ones(np.shape(r)) Nt = self.___Nt_Nt___(s, t)[2] St = self.___St_St___(s, t)[2] Wt = self.___Wt_Wt___(r, t)[2] Et = self.___Et_Et___(r, t)[2] B = self.___BbB___(r, s)[2] F = self.___FfF___(r, s)[2] NWt = self.___NW_t___(t)[2] NEt = self.___NE_t___(t)[2] SWt = self.___SW_t___(t)[2] SEt = self.___SE_t___(t)[2] NB = self.___NB___(s)[2] NF = self.___NF___(s)[2] SB = self.___SB___(s)[2] SF = self.___SF___(s)[2] WB = self.___WB___(r)[2] WF = self.___WF___(r)[2] EB = self.___EB___(r)[2] EF = self.___EF___(r)[2] NWB = self.___N_W_B___[2] NWF = self.___N_W_F___[2] NEB = self.___N_E_B___[2] NEF = self.___N_E_F___[2] SWB = self.___S_W_B___[2] SWF = self.___S_W_F___[2] SEB = self.___S_E_B___[2] SEF = self.___S_E_F___[2] x1 = (1 - r) * Nt + r * St x2 = (1 - s) * Wt + s * Et x3 = -_1_ * B + _1_ * F x12 = (1 - r) * (1 - s) * NWt + (1 - r) * s * NEt + r * (1 - s) * SWt + r * s * SEt x13 = -(1 - r) * NB + (1 - r) * NF - r * SB + r * SF x23 = -(1 - s) * WB + (1 - s) * WF - s * EB + s * EF x123 = - (1 - r) * (1 - s) * NWB \ + (1 - r) * (1 - s) * NWF \ - (1 - r) * s * NEB \ + (1 - r) * s * NEF \ - r * (1 - s) * SWB \ + r * (1 - s) * SWF \ - r * s * SEB \ + r * s * SEF zt = x1 + x2 + x3 - x12 - x13 - x23 + x123 return zt def Jacobian_X_(self, r, s, t): return self.Jacobian_Xr(r, s, t), self.Jacobian_Xs(r, s, t), self.Jacobian_Xt(r, s, t) def Jacobian_Y_(self, r, s, t): return self.Jacobian_Yr(r, s, t), self.Jacobian_Ys(r, s, t), self.Jacobian_Yt(r, s, t) def Jacobian_Z_(self, r, s, t): return self.Jacobian_Zr(r, s, t), self.Jacobian_Zs(r, s, t), self.Jacobian_Zt(r, s, t) def ___NnN___(self, s, t): return (self._region_._side_geometries_['N'].X(s, t), self._region_._side_geometries_['N'].Y(s, t), self._region_._side_geometries_['N'].Z(s, t)) def ___Ns_Ns___(self, s, t): return (self._region_._side_geometries_['N'].Xp(s, t), self._region_._side_geometries_['N'].Yp(s, t), self._region_._side_geometries_['N'].Zp(s, t)) def ___Nt_Nt___(self, s, t): return (self._region_._side_geometries_['N'].Xq(s, t), self._region_._side_geometries_['N'].Yq(s, t), self._region_._side_geometries_['N'].Zq(s, t)) def ___SsS___(self, s, t): return (self._region_._side_geometries_['S'].X(s, t), self._region_._side_geometries_['S'].Y(s, t), self._region_._side_geometries_['S'].Z(s, t)) def ___Ss_Ss___(self, s, t): return (self._region_._side_geometries_['S'].Xp(s, t), self._region_._side_geometries_['S'].Yp(s, t), self._region_._side_geometries_['S'].Zp(s, t)) def ___St_St___(self, s, t): return (self._region_._side_geometries_['S'].Xq(s, t), self._region_._side_geometries_['S'].Yq(s, t), self._region_._side_geometries_['S'].Zq(s, t)) def ___WwW___(self, r, t): return (self._region_._side_geometries_['W'].X(r, t), self._region_._side_geometries_['W'].Y(r, t), self._region_._side_geometries_['W'].Z(r, t)) def ___Wr_Wr___(self, r, t): return (self._region_._side_geometries_['W'].Xp(r, t), self._region_._side_geometries_['W'].Yp(r, t), self._region_._side_geometries_['W'].Zp(r, t)) def ___Wt_Wt___(self, r, t): return (self._region_._side_geometries_['W'].Xq(r, t), self._region_._side_geometries_['W'].Yq(r, t), self._region_._side_geometries_['W'].Zq(r, t)) def ___EeE___(self, r, t): return (self._region_._side_geometries_['E'].X(r, t), self._region_._side_geometries_['E'].Y(r, t), self._region_._side_geometries_['E'].Z(r, t)) def ___Er_Er___(self, r, t): return (self._region_._side_geometries_['E'].Xp(r, t), self._region_._side_geometries_['E'].Yp(r, t), self._region_._side_geometries_['E'].Zp(r, t)) def ___Et_Et___(self, r, t): return (self._region_._side_geometries_['E'].Xq(r, t), self._region_._side_geometries_['E'].Yq(r, t), self._region_._side_geometries_['E'].Zq(r, t)) def ___BbB___(self, r, s): return (self._region_._side_geometries_['B'].X(r, s), self._region_._side_geometries_['B'].Y(r, s), self._region_._side_geometries_['B'].Z(r, s)) def ___Br_Br___(self, r, s): return (self._region_._side_geometries_['B'].Xp(r, s), self._region_._side_geometries_['B'].Yp(r, s), self._region_._side_geometries_['B'].Zp(r, s)) def ___Bs_Bs___(self, r, s): return (self._region_._side_geometries_['B'].Xq(r, s), self._region_._side_geometries_['B'].Yq(r, s), self._region_._side_geometries_['B'].Zq(r, s)) def ___FfF___(self, r, s): return (self._region_._side_geometries_['F'].X(r, s), self._region_._side_geometries_['F'].Y(r, s), self._region_._side_geometries_['F'].Z(r, s)) def ___Fr_Fr___(self, r, s): return (self._region_._side_geometries_['F'].Xp(r, s), self._region_._side_geometries_['F'].Yp(r, s), self._region_._side_geometries_['F'].Zp(r, s)) def ___Fs_Fs___(self, r, s): return (self._region_._side_geometries_['F'].Xq(r, s), self._region_._side_geometries_['F'].Yq(r, s), self._region_._side_geometries_['F'].Zq(r, s)) def ___NW___(self, t): return (self._region_._side_geometries_['N'].X(0, t), self._region_._side_geometries_['N'].Y(0, t), self._region_._side_geometries_['N'].Z(0, t)) def ___NW_t___(self, t): return (self._region_._side_geometries_['N'].Xq(0, t), self._region_._side_geometries_['N'].Yq(0, t), self._region_._side_geometries_['N'].Zq(0, t)) def ___NE___(self, t): return (self._region_._side_geometries_['N'].X(1, t), self._region_._side_geometries_['N'].Y(1, t), self._region_._side_geometries_['N'].Z(1, t)) def ___NE_t___(self, t): return (self._region_._side_geometries_['N'].Xq(1, t), self._region_._side_geometries_['N'].Yq(1, t), self._region_._side_geometries_['N'].Zq(1, t)) def ___NB___(self, s): return (self._region_._side_geometries_['N'].X(s, 0), self._region_._side_geometries_['N'].Y(s, 0), self._region_._side_geometries_['N'].Z(s, 0)) def ___NB_s___(self, s): return (self._region_._side_geometries_['N'].Xp(s, 0), self._region_._side_geometries_['N'].Yp(s, 0), self._region_._side_geometries_['N'].Zp(s, 0)) def ___NF___(self, s): return (self._region_._side_geometries_['N'].X(s, 1), self._region_._side_geometries_['N'].Y(s, 1), self._region_._side_geometries_['N'].Z(s, 1)) def ___NF_s___(self, s): return (self._region_._side_geometries_['N'].Xp(s, 1), self._region_._side_geometries_['N'].Yp(s, 1), self._region_._side_geometries_['N'].Zp(s, 1)) def ___SW___(self, t): return (self._region_._side_geometries_['S'].X(0, t), self._region_._side_geometries_['S'].Y(0, t), self._region_._side_geometries_['S'].Z(0, t)) def ___SW_t___(self, t): return (self._region_._side_geometries_['S'].Xq(0, t), self._region_._side_geometries_['S'].Yq(0, t), self._region_._side_geometries_['S'].Zq(0, t)) def ___SE___(self, t): return (self._region_._side_geometries_['S'].X(1, t), self._region_._side_geometries_['S'].Y(1, t), self._region_._side_geometries_['S'].Z(1, t)) def ___SE_t___(self, t): return (self._region_._side_geometries_['S'].Xq(1, t), self._region_._side_geometries_['S'].Yq(1, t), self._region_._side_geometries_['S'].Zq(1, t)) def ___SB___(self, s): return (self._region_._side_geometries_['S'].X(s, 0), self._region_._side_geometries_['S'].Y(s, 0), self._region_._side_geometries_['S'].Z(s, 0)) def ___SB_s___(self, s): return (self._region_._side_geometries_['S'].Xp(s, 0), self._region_._side_geometries_['S'].Yp(s, 0), self._region_._side_geometries_['S'].Zp(s, 0)) def ___SF___(self, s): return (self._region_._side_geometries_['S'].X(s, 1), self._region_._side_geometries_['S'].Y(s, 1), self._region_._side_geometries_['S'].Z(s, 1)) def ___SF_s___(self, s): return (self._region_._side_geometries_['S'].Xp(s, 1), self._region_._side_geometries_['S'].Yp(s, 1), self._region_._side_geometries_['S'].Zp(s, 1)) def ___WN___(self, t): return (self._region_._side_geometries_['W'].X(0, t), self._region_._side_geometries_['W'].Y(0, t), self._region_._side_geometries_['W'].Z(0, t)) def ___WS___(self, t): return (self._region_._side_geometries_['W'].X(1, t), self._region_._side_geometries_['W'].Y(1, t), self._region_._side_geometries_['W'].Z(1, t)) def ___WB___(self, r): return (self._region_._side_geometries_['W'].X(r, 0), self._region_._side_geometries_['W'].Y(r, 0), self._region_._side_geometries_['W'].Z(r, 0)) def ___WB_r___(self, r): return (self._region_._side_geometries_['W'].Xp(r, 0), self._region_._side_geometries_['W'].Yp(r, 0), self._region_._side_geometries_['W'].Zp(r, 0)) def ___WF___(self, r): return (self._region_._side_geometries_['W'].X(r, 1), self._region_._side_geometries_['W'].Y(r, 1), self._region_._side_geometries_['W'].Z(r, 1)) def ___WF_r___(self, r): return (self._region_._side_geometries_['W'].Xp(r, 1), self._region_._side_geometries_['W'].Yp(r, 1), self._region_._side_geometries_['W'].Zp(r, 1)) def ___EN___(self, t): return (self._region_._side_geometries_['E'].X(0, t), self._region_._side_geometries_['E'].Y(0, t), self._region_._side_geometries_['E'].Z(0, t)) def ___ES___(self, t): return (self._region_._side_geometries_['E'].X(1, t), self._region_._side_geometries_['E'].Y(1, t), self._region_._side_geometries_['E'].Z(1, t)) def ___EB___(self, r): return (self._region_._side_geometries_['E'].X(r, 0), self._region_._side_geometries_['E'].Y(r, 0), self._region_._side_geometries_['E'].Z(r, 0)) def ___EB_r___(self, r): return (self._region_._side_geometries_['E'].Xp(r, 0), self._region_._side_geometries_['E'].Yp(r, 0), self._region_._side_geometries_['E'].Zp(r, 0)) def ___EF___(self, r): return (self._region_._side_geometries_['E'].X(r, 1), self._region_._side_geometries_['E'].Y(r, 1), self._region_._side_geometries_['E'].Z(r, 1)) def ___EF_r___(self, r): return (self._region_._side_geometries_['E'].Xp(r, 1), self._region_._side_geometries_['E'].Yp(r, 1), self._region_._side_geometries_['E'].Zp(r, 1)) def ___BN___(self, s): return (self._region_._side_geometries_['B'].X(0, s), self._region_._side_geometries_['B'].Y(0, s), self._region_._side_geometries_['B'].Z(0, s)) def ___BS___(self, s): return (self._region_._side_geometries_['B'].X(1, s), self._region_._side_geometries_['B'].Y(1, s), self._region_._side_geometries_['B'].Z(1, s)) def ___BW___(self, r): return (self._region_._side_geometries_['B'].X(r, 0), self._region_._side_geometries_['B'].Y(r, 0), self._region_._side_geometries_['B'].Z(r, 0)) def ___BE___(self, r): return (self._region_._side_geometries_['B'].X(r, 1), self._region_._side_geometries_['B'].Y(r, 1), self._region_._side_geometries_['B'].Z(r, 1)) def ___FN___(self, s): return (self._region_._side_geometries_['F'].X(0, s), self._region_._side_geometries_['F'].Y(0, s), self._region_._side_geometries_['F'].Z(0, s)) def ___FS___(self, s): return (self._region_._side_geometries_['F'].X(1, s), self._region_._side_geometries_['F'].Y(1, s), self._region_._side_geometries_['F'].Z(1, s)) def ___FW___(self, r): return (self._region_._side_geometries_['F'].X(r, 0), self._region_._side_geometries_['F'].Y(r, 0), self._region_._side_geometries_['F'].Z(r, 0)) def ___FE___(self, r): return (self._region_._side_geometries_['F'].X(r, 1), self._region_._side_geometries_['F'].Y(r, 1), self._region_._side_geometries_['F'].Z(r, 1)) @property def ___N_W_B___(self): return (self._region_._side_geometries_['N'].X(0, 0), self._region_._side_geometries_['N'].Y(0, 0), self._region_._side_geometries_['N'].Z(0, 0)) @property def ___N_W_F___(self): return (self._region_._side_geometries_['N'].X(0, 1), self._region_._side_geometries_['N'].Y(0, 1), self._region_._side_geometries_['N'].Z(0, 1)) @property def ___N_E_B___(self): return (self._region_._side_geometries_['N'].X(1, 0), self._region_._side_geometries_['N'].Y(1, 0), self._region_._side_geometries_['N'].Z(1, 0)) @property def ___N_E_F___(self): return (self._region_._side_geometries_['N'].X(1, 1), self._region_._side_geometries_['N'].Y(1, 1), self._region_._side_geometries_['N'].Z(1, 1)) @property def ___S_W_B___(self): return (self._region_._side_geometries_['S'].X(0, 0), self._region_._side_geometries_['S'].Y(0, 0), self._region_._side_geometries_['S'].Z(0, 0)) @property def ___S_W_F___(self): return (self._region_._side_geometries_['S'].X(0, 1), self._region_._side_geometries_['S'].Y(0, 1), self._region_._side_geometries_['S'].Z(0, 1)) @property def ___S_E_B___(self): return (self._region_._side_geometries_['S'].X(1, 0), self._region_._side_geometries_['S'].Y(1, 0), self._region_._side_geometries_['S'].Z(1, 0)) @property def ___S_E_F___(self): return (self._region_._side_geometries_['S'].X(1, 1), self._region_._side_geometries_['S'].Y(1, 1), self._region_._side_geometries_['S'].Z(1, 1))

35.576205

94

0.469039

6,802

45,751

2.481623

0.032343

0.165047

0.233412

0.277251

0.854443

0.788626

0.755273

0.520557

0.504384

0.415699

0

0.043249

0.358659

45,751

1,286

95

35.576205

0.532036

0.015803

0

0.518119

0

0.008924

0.000535

0

0.01665

1

0.080313

false

0

0.004897

0.063663

0.163565

0

null

0

1

0

null

0

5

33728260ea45a2ad8fd5c4a895fb7e069cc0bc54

116

py

Python

other/soundhound2018_summer_qual_a.py

ryosuke0825/atcoder_python

185cdbe7db44ecca1aaf357858d16d31ce515ddb

[ "MIT" ]

null

other/soundhound2018_summer_qual_a.py

ryosuke0825/atcoder_python

185cdbe7db44ecca1aaf357858d16d31ce515ddb

[ "MIT" ]

null

other/soundhound2018_summer_qual_a.py

ryosuke0825/atcoder_python

185cdbe7db44ecca1aaf357858d16d31ce515ddb

[ "MIT" ]

null

a, b = map(int, input().split()) if a + b == 15: print('+') elif a*b == 15: print('*') else: print('x')

14.5

32

0.448276

19

116

2.736842

0.631579

0.115385

0.153846

0.346154

0

0.047059

0.267241

116

7

33

16.571429

0.564706

0

0.025862

0

1

0

true

0

0.428571

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

681f7a5bdb8ef670ef2a9f9a2390be4eb9cfff97

64

py

Python

outlook_msg/__init__.py

hiendang/outlook_msg

c151ada05a09cc45e5c6492432be851f935c52b2

[ "Apache-2.0" ]

17

2018-11-14T21:06:23.000Z

2021-12-10T13:01:53.000Z

outlook_msg/__init__.py

hiendang/outlook_msg

c151ada05a09cc45e5c6492432be851f935c52b2

[ "Apache-2.0" ]

3

2019-06-26T13:32:10.000Z

2021-11-10T05:39:01.000Z

outlook_msg/__init__.py

hiendang/outlook_msg

c151ada05a09cc45e5c6492432be851f935c52b2

[ "Apache-2.0" ]

6

2020-07-23T08:10:32.000Z

2021-12-10T12:20:52.000Z

from .message import Message from .attachment import Attachment

21.333333

34

0.84375

8

64

6.75

0.5

0

0.125

64

2

35

32

0.964286

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

681fe1172597970c2192168c8591e4758fb04d4e

132

py

Python

cases/1.py

minakoyang/YY_python2.7_interpreter_in_CPP

e949f4bbd27752e6dbfef0a887d9567345d512f4

[ "MIT" ]

1

2019-04-30T16:27:19.000Z

cases/1.py

minakoyang/YY_python2.7_interpreter_in_CPP

e949f4bbd27752e6dbfef0a887d9567345d512f4

[ "MIT" ]

null

cases/1.py

minakoyang/YY_python2.7_interpreter_in_CPP

e949f4bbd27752e6dbfef0a887d9567345d512f4

[ "MIT" ]

null

x = 10 print 2*x + 5*x y = 7 print 2*x - y print 2*y - 2*x print 2*x - 2 * y print x * 5*y print x/y print 5*x/2*y print 5*y/2*x

10.153846

17

0.55303

40

132

1.825

0.175

0.136986

0.287671

0.219178

0

0.157895

0.280303

132

12

18

11

0.610526

0

null

0

null

0.8

0

1

null

0

1

0

null

0

1

0

1

0

5

68530c51130f01971842ceb416cf1540f66f94ba

80

py

Python

adie/tests/__init__.py

willstrawson/adie_ongoingthoughts

a9ba9e8e4326fd528db72eac8ed5cc932fc490b5

[ "MIT" ]

1

2021-06-04T15:39:14.000Z

adie/tests/__init__.py

willstrawson/adie_ongoingthoughts

a9ba9e8e4326fd528db72eac8ed5cc932fc490b5

[ "MIT" ]

27

2020-11-30T11:13:00.000Z

2021-05-02T07:58:37.000Z

adie/tests/__init__.py

willstrawson/adie_ongoingthoughts

a9ba9e8e4326fd528db72eac8ed5cc932fc490b5

[ "MIT" ]

4

2020-11-27T13:49:31.000Z

2021-04-28T15:51:09.000Z

from .utils import get_test_data_path __all__ = [ "get_test_data_path", ]

11.428571

37

0.725

12

80

4

0.666667

0.291667

0.458333

0.625

0

0.1875

80

6

38

13.333333

0.738462

0

0.225

0

1

0

false

0

0.25

0

0.25

0

1

0

null

1

0

1

0

null

0

5

6875286730b8549def36bcfcdb5227731d44bec2

39

py

Python

gnu_linux_box/key.py

shivag1992/WearableIntelligenceSystem

362b6053cfe1ca5425f4d116dbbe42f3c924a4ae

[ "MIT" ]

null

gnu_linux_box/key.py

shivag1992/WearableIntelligenceSystem

362b6053cfe1ca5425f4d116dbbe42f3c924a4ae

[ "MIT" ]

null

gnu_linux_box/key.py

shivag1992/WearableIntelligenceSystem

362b6053cfe1ca5425f4d116dbbe42f3c924a4ae

[ "MIT" ]

null

aes_key = "TEMPORARYKEY_CHANGETHISKEY"

19.5

38

0.846154

4

39

7.75

1

0

0.076923

39

1

39

0.861111

0

0.666667

0

1

0

false

0

1

0

null

0

1

0

1

null

0

5

d7d4d89d93cdaf97c945ef81da7f134221f3ff04

436

py

Python

python/line_ending_check.py

kev0960/ModooCode

aae17e3be86da2f39bf93d7a91364b2a6a348525

[ "Apache-2.0" ]

39

2019-02-26T08:21:06.000Z

2022-03-24T06:38:25.000Z

python/line_ending_check.py

kev0960/ModooCode

aae17e3be86da2f39bf93d7a91364b2a6a348525

[ "Apache-2.0" ]

9

2019-03-01T05:07:44.000Z

2022-02-21T07:39:11.000Z

python/line_ending_check.py

kev0960/ModooCode

aae17e3be86da2f39bf93d7a91364b2a6a348525

[ "Apache-2.0" ]

5

2021-02-08T05:52:01.000Z

2022-03-08T06:37:34.000Z

import os for file in os.listdir("/home/jaebum/ModooCode/python/md"): with open(os.path.join("/home/jaebum/ModooCode/python/md", file)) as f: content = f.read() if '\r\n' in content: print("CRLF found in ", file) for file in os.listdir("/home/jaebum/ModooCode/md"): with open(os.path.join("/home/jaebum/ModooCode/md", file)) as f: content = f.read() if '\r\n' in content: print("CRLF found in ", file)

31.142857

73

0.642202

72

436

3.888889

0.347222

0.142857

0.271429

0.078571

0.971429

0.928571

0.664286

0.385714

0

0.178899

436

13

74

33.538462

0.782123

0

0.545455

0

0.344037

0.261468

0

1

0

false

0

0.090909

0

0.090909

0.181818

0

null

0

1

0

1

0

null

0

5

cc250b3f49edfaeac3cd151ba006e86e60e59876

30

py

Python

src/mappings.py

kclconsult/ehr-fhir-mapper

6b8a0aab903eebbcdf6d6c7abcba479be059012d

[ "MIT" ]

3

2020-09-11T09:34:37.000Z

2021-02-08T19:15:03.000Z

src/mappings.py

kclhi/ehr-fhir-converter

fbe0f419dc6eac1c1f8c4d02470a7483c2416ae9

[ "MIT" ]

null

src/mappings.py

kclhi/ehr-fhir-converter

fbe0f419dc6eac1c1f8c4d02470a7483c2416ae9

[ "MIT" ]

5

2020-05-01T13:14:57.000Z

2022-01-26T22:12:48.000Z

from Default.mappings import *

30

0.833333

4

30

6.25

1

0

0.1

30

1

30

0.925926

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

0bfe1720db3698960d11a197703bbffb61f06df8

83

py

Python

src/gui/__init__.py

asattelmaier/deutschlandradio

ed25796805cdbe0a31296525c11275831c5af453

[ "MIT" ]

null

src/gui/__init__.py

asattelmaier/deutschlandradio

ed25796805cdbe0a31296525c11275831c5af453

[ "MIT" ]

null

src/gui/__init__.py

asattelmaier/deutschlandradio

ed25796805cdbe0a31296525c11275831c5af453

[ "MIT" ]

null

from .menu_builder import MenuBuilder from .app_menu_factory import AppMenuFactory

27.666667

44

0.879518

11

83

6.363636

0.727273

0

0.096386

83

2

45

41.5

0.933333

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

0422e5e9cab1d9f43f07435c688d64c76d9a367f

58

py

Python

src/modules/config/__init__.py

volodymyrPivoshenko/fastapi-demo

3dee6419ca048f90a12e3241580b693f1d5225b7

[ "MIT" ]

1

2021-04-25T08:57:54.000Z

src/modules/config/__init__.py

volodymyrPivoshenko/fastapi-demo

3dee6419ca048f90a12e3241580b693f1d5225b7

[ "MIT" ]

1

2021-04-21T14:56:31.000Z

src/modules/config/__init__.py

volodymyrPivoshenko/fastapi-demo

3dee6419ca048f90a12e3241580b693f1d5225b7

[ "MIT" ]

null

""" Configuration. """ from .config import Configuration

9.666667

33

0.724138

5

58

8.4

0.8

0

0.137931

58

5

34

11.6

0.84

0.241379

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

04329017e66799b79dec3fbb4aeb954c17783f7f

24,511

py

Python

ci-scripts/dlrnapi_promoter/test_logic_unit.py

rdo-infra/ci-conf

619de7cfce62cd3f98c771ad3dd790765cb7a791

[ "Apache-2.0" ]

8

2016-10-06T13:24:04.000Z

2021-11-04T20:51:23.000Z

ci-scripts/dlrnapi_promoter/test_logic_unit.py

rdo-infra/ci-conf

619de7cfce62cd3f98c771ad3dd790765cb7a791

[ "Apache-2.0" ]

8

2020-02-26T20:11:29.000Z

2021-09-23T23:23:47.000Z

ci-scripts/dlrnapi_promoter/test_logic_unit.py

rdo-infra/ci-conf

619de7cfce62cd3f98c771ad3dd790765cb7a791

[ "Apache-2.0" ]

9

2016-04-08T14:38:06.000Z

2021-11-01T18:43:30.000Z

from common import PromotionError from dlrn_client import HashChangedError try: # Python3 imports from unittest import mock from unittest.mock import patch except ImportError: # Python2 imports from mock import patch import mock from dlrn_hash import DlrnCommitDistroExtendedHash, DlrnHash from test_unit_fixtures import ConfigSetup class TestPromote(ConfigSetup): @patch('logging.Logger.exception') @patch('logging.Logger.error') @patch('dlrn_client.DlrnClient.check_named_hashes_unchanged') @patch('dlrn_client.DlrnClient.promote') @patch('registries_client.RegistriesClient.promote') @patch('qcow_client.QcowClient.promote') def test_promote_failure(self, mock_qcow_client, mock_registries_client, mock_dlrn_client, mock_check_named_hashes, mock_log_error, mock_log_exception): mock_dlrn_client.return_value = None mock_qcow_client.side_effect = PromotionError mock_registries_client.return_value = None mock_check_named_hashes.return_value = None candidate_hash = DlrnCommitDistroExtendedHash(commit_hash='a', distro_hash='b') with self.assertRaises(PromotionError): self.promoter.promote(candidate_hash, 'tripleo-ci-testing', 'tripleo-ci-staging-promoted') mock_log_error.assert_has_calls([ mock.call("Candidate hash '%s': client %s FAILED promotion attempt " "to %s" "", candidate_hash, 'qcow_client', 'tripleo-ci-staging-promoted') ]) self.assertTrue(mock_log_exception.called) self.assertTrue(mock_registries_client.called) self.assertTrue(mock_qcow_client.called) self.assertFalse(mock_dlrn_client.called) @patch('logging.Logger.debug') @patch('dlrn_client.DlrnClient.check_named_hashes_unchanged') @patch('dlrn_client.DlrnClient.promote') @patch('registries_client.RegistriesClient.promote') @patch('qcow_client.QcowClient.promote') def test_promote_only_dlrn_client_allowed(self, mock_qcow_client, mock_registries_client, mock_dlrn_client, mock_check_named_hashes, mock_log_debug): candidate_hash = DlrnCommitDistroExtendedHash(commit_hash='a', distro_hash='b') mock_check_named_hashes.return_value = None self.promoter.promote(candidate_hash, 'tripleo-ci-testing', 'tripleo-ci-staging-promoted', allowed_clients=['dlrn_client']) mock_log_debug.assert_has_calls([ mock.call("Candidate hash '%s': clients allowed to promote: %s", candidate_hash, 'dlrn_client'), ]) self.assertFalse(mock_registries_client.called) self.assertFalse(mock_qcow_client.called) self.assertTrue(mock_dlrn_client.called) @patch('logging.Logger.warning') @patch('logging.Logger.debug') @patch('logging.Logger.error') @patch('logging.Logger.info') @patch('dlrn_client.DlrnClient.check_named_hashes_unchanged') @patch('dlrn_client.DlrnClient.promote') @patch('registries_client.RegistriesClient.promote') @patch('qcow_client.QcowClient.promote') def test_promote_success(self, mock_qcow_client, mock_registries_client, mock_dlrn_client, mock_check_named_hashes, mock_log_info, mock_log_error, mock_log_debug, mock_log_warning): candidate_hash = DlrnCommitDistroExtendedHash(commit_hash='a', distro_hash='b') mock_check_named_hashes.return_value = None # The order here is VERY important, and we MUST ensure it's respected allowed_clients = [ 'registries_client', 'qcow_client', 'dlrn_client' ] mock_dlrn_client.return_value = None mock_qcow_client.return_value = None mock_registries_client.return_value = None promoted_pair = \ self.promoter.promote(candidate_hash, 'tripleo-ci-testing', 'tripleo-ci-staging-promoted') mock_log_debug.assert_has_calls([ mock.call("Candidate hash '%s': clients allowed to promote: %s", candidate_hash, ', '.join(allowed_clients)), mock.call("Candidate hash '%s': client %s SUCCESSFUL promotion", candidate_hash, allowed_clients[0]), mock.call("Candidate hash '%s': client %s SUCCESSFUL promotion", candidate_hash, allowed_clients[1]), mock.call("Candidate hash '%s': client %s SUCCESSFUL promotion", candidate_hash, allowed_clients[2]), ]) mock_log_info.assert_has_calls([ mock.call("Candidate hash '%s': attempting promotion", candidate_hash), mock.call("Candidate hash '%s': SUCCESSFUL promotion to %s", candidate_hash, 'tripleo-ci-staging-promoted'), ]) self.assertFalse(mock_log_warning.called) self.assertFalse(mock_log_error.called) self.assertTrue(mock_check_named_hashes.called) self.assertTrue(mock_registries_client.called) self.assertTrue(mock_qcow_client.called) self.assertTrue(mock_dlrn_client.called) self.assertEqual(promoted_pair, (candidate_hash, 'tripleo-ci-staging-promoted')) @patch('logging.Logger.debug') @patch('dlrn_client.DlrnClient.check_named_hashes_unchanged') @patch('dlrn_client.DlrnClient.promote') @patch('registries_client.RegistriesClient.promote') @patch('qcow_client.QcowClient.promote') def test_promote_check_named_hashes_failed(self, mock_qcow_client, mock_registries_client, mock_dlrn_client, mock_check_named_hashes, mock_log_debug): candidate_hash = DlrnCommitDistroExtendedHash(commit_hash='a', distro_hash='b') mock_check_named_hashes.side_effect = HashChangedError with self.assertRaises(HashChangedError): self.promoter.promote(candidate_hash, 'tripleo-ci-testing', 'tripleo-ci-staging-promoted') self.assertFalse(mock_registries_client.called) self.assertFalse(mock_qcow_client.called) self.assertFalse(mock_dlrn_client.called) class TestPromoteLabelToLabel(ConfigSetup): @patch('logging.Logger.debug') @patch('logging.Logger.error') @patch('logging.Logger.info') @patch('logging.Logger.warning') @patch('logic.Promoter.select_candidates') @patch('logic.Promoter.promote') @patch('dlrn_client.DlrnClient.fetch_jobs') @patch('dlrn_client.DlrnClient.get_civotes_info') def test_promote_label_to_label_missing_jobs(self, mock_civotes, mock_fetch_jobs, mock_promote, mock_select_candidates, mock_log_warning, mock_log_info, mock_log_error, mock_log_debug): ci_votes = "http://host.to/detailspage.html" mock_civotes.return_value = ci_votes successful_jobs = [ 'periodic-tripleo-centos-7-master-containers-build-push', ] mock_fetch_jobs.return_value = successful_jobs candidate_hash = DlrnCommitDistroExtendedHash(commit_hash='a', distro_hash='b') mock_select_candidates.return_value = [ candidate_hash ] promoted_pair = self.promoter.promote_label_to_label( 'tripleo-ci-testing', 'tripleo-ci-staging-promoted') mock_log_warning.assert_has_calls([ mock.call("Candidate hash '%s': criteria NOT met for promotion to " "%s", candidate_hash, 'tripleo-ci-staging-promoted'), ]) mock_log_info.assert_has_calls([ mock.call("Candidate label '%s': %d candidates", 'tripleo-ci-testing', 1), mock.call("Candidate label '%s': Checking candidates that meet " "promotion criteria for target label '%s'", 'tripleo-ci-testing', 'tripleo-ci-staging-promoted'), mock.call("Candidate hash '%s': vote details page - %s", candidate_hash, ci_votes), ]) self.assertFalse(mock_promote.called) self.assertFalse(mock_log_error.called) self.assertEqual(promoted_pair, ()) @patch('logging.Logger.error') @patch('logging.Logger.warning') @patch('logic.Promoter.select_candidates') @patch('logic.Promoter.promote') @patch('dlrn_client.DlrnClient.fetch_jobs') @patch('dlrn_client.DlrnClient.get_civotes_info') def test_promote_label_to_label_missing_jobs_no_successful( self, mock_civotes, mock_fetch_jobs, mock_promote, mock_select_candidates, mock_log_warning, mock_log_error): ci_votes = "http://host.to/detailspage.html" mock_civotes.return_value = ci_votes successful_jobs = [] mock_fetch_jobs.return_value = successful_jobs candidate_hash = DlrnCommitDistroExtendedHash(commit_hash='a', distro_hash='b') mock_select_candidates.return_value = [ candidate_hash ] promoted_pair = self.promoter.promote_label_to_label( 'tripleo-ci-testing', 'tripleo-ci-staging-promoted') mock_log_warning.assert_has_calls([ mock.call("Candidate hash '%s': NO successful jobs", candidate_hash), ]) self.assertFalse(mock_promote.called) self.assertFalse(mock_log_error.called) self.assertEqual(promoted_pair, ()) @patch('logging.Logger.error') @patch('logging.Logger.info') @patch('logging.Logger.warning') @patch('logic.Promoter.select_candidates') @patch('logic.Promoter.promote') @patch('dlrn_client.DlrnClient.fetch_jobs') def test_promote_label_to_label_no_candidates(self, mock_fetch_jobs, mock_promote, mock_select_candidates, mock_log_warning, mock_log_info, mock_log_error): mock_select_candidates.return_value = [] promoted_pair = self.promoter.promote_label_to_label( 'tripleo-ci-testing', 'tripleo-ci-staging-promoted') mock_log_warning.assert_has_calls([ mock.call("Candidate label '%s': No candidate hashes", 'tripleo-ci-testing') ]) self.assertFalse(mock_fetch_jobs.called) self.assertFalse(mock_promote.called) self.assertFalse(mock_log_info.called) self.assertFalse(mock_log_error.called) self.assertEqual(promoted_pair, ()) @patch('logging.Logger.debug') @patch('logging.Logger.error') @patch('logging.Logger.info') @patch('logging.Logger.warning') @patch('logic.Promoter.select_candidates') @patch('logic.Promoter.promote') @patch('dlrn_client.DlrnClient.fetch_jobs') @patch('dlrn_client.DlrnClient.get_civotes_info') def test_promote_label_to_label_success(self, mock_civotes, mock_fetch_jobs, mock_promote, mock_select_candidates, mock_log_warning, mock_log_info, mock_log_error, mock_log_debug): ci_votes = "http://host.to/detailspage.html" candidate_hashes = [ DlrnCommitDistroExtendedHash(commit_hash='a', distro_hash='b'), DlrnCommitDistroExtendedHash(commit_hash='c', distro_hash='c') ] required_set = { 'staging-job-1', 'staging-job-2' } pair = (candidate_hashes[0], 'tripleo-ci-staging-promoted') mock_promote.return_value = pair mock_civotes.return_value = ci_votes mock_select_candidates.return_value = candidate_hashes mock_fetch_jobs.return_value = list(required_set) promoted_pair = self.promoter.promote_label_to_label( 'tripleo-ci-testing', 'tripleo-ci-staging-promoted') mock_log_info.assert_has_calls([ mock.call("Candidate label '%s': %d candidates", 'tripleo-ci-testing', 2), mock.call("Candidate label '%s': Checking candidates that meet " "promotion criteria for target label '%s'", 'tripleo-ci-testing', 'tripleo-ci-staging-promoted'), mock.call("Candidate hash '%s': vote details page - %s", candidate_hashes[0], ci_votes), mock.call("Candidate hash '%s': criteria met, attempting promotion " "to %s", candidate_hashes[0], 'tripleo-ci-staging-promoted'), ]) self.assertFalse(mock_log_warning.called) self.assertFalse(mock_log_error.called) self.assertEqual(promoted_pair, pair) # Ensure that we stop at the first promotion self.assertEqual(mock_promote.call_count, 1) @patch('logging.Logger.error') @patch('logging.Logger.warning') @patch('logic.Promoter.select_candidates') @patch('logic.Promoter.promote') @patch('dlrn_client.DlrnClient.fetch_jobs') @patch('dlrn_client.DlrnClient.get_civotes_info') def test_promote_label_to_label_empty_promoted_pair( self, mock_civotes, mock_fetch_jobs, mock_promote, mock_select_candidates, mock_log_warning, mock_log_error): ci_votes = "http://host.to/detailspage.html" candidate_hashes = [ DlrnCommitDistroExtendedHash(commit_hash='a', distro_hash='b'), DlrnCommitDistroExtendedHash(commit_hash='c', distro_hash='c') ] required_set = { 'staging-job-1', 'staging-job-2' } mock_promote.side_effect = [(), ()] mock_civotes.return_value = ci_votes mock_select_candidates.return_value = candidate_hashes mock_fetch_jobs.return_value = list(required_set) promoted_pair = self.promoter.promote_label_to_label( 'tripleo-ci-testing', 'tripleo-ci-staging-promoted') self.assertFalse(mock_log_warning.called) self.assertFalse(mock_log_error.called) # Ensure that we try two promotions self.assertEqual(mock_promote.call_count, 2) self.assertEqual(promoted_pair, ()) class TestPromoteAll(ConfigSetup): @patch('logging.Logger.info') @patch('dlrn_client.DlrnClient.fetch_current_named_hashes') @patch('logic.Promoter.promote_label_to_label') def test_promote_all_success(self, mock_promote_label_to_label, mock_fetch_named_hashes, mock_log_info): mock_promote_label_to_label.return_value = ('label', 'hash') promoted_pairs = self.promoter.promote_all() mock_fetch_named_hashes.assert_has_calls([ mock.call(store=True) ]) mock_log_info.assert_has_calls([ mock.call('Starting promotion attempts for all labels'), mock.call("Candidate label '%s': Attempting promotion to '%s'", 'tripleo-ci-staging', 'tripleo-ci-staging-promoted'), mock.call("Summary: Promoted 1 hashes this round"), mock.call('------- -------- Promoter terminated normally') ]) mock_promote_label_to_label.assert_has_calls([ mock.call('tripleo-ci-staging', 'tripleo-ci-staging-promoted') ]) self.assertEqual(promoted_pairs, [('label', 'hash')]) @patch('dlrnapi_client.DefaultApi.api_promotions_get') @patch('logging.Logger.info') @patch('logging.Logger.warning') @patch('logging.Logger.error') @patch('logic.Promoter.promote_label_to_label') def test_promote_all_failure(self, mock_promote_label_to_label, mock_log_error, mock_log_warning, mock_log_info, mock_dlrn_api_promotions): mock_promote_label_to_label.side_effect = PromotionError promoted_pairs = self.promoter.promote_all() mock_log_error.assert_has_calls([ mock.call("Error while trying to promote %s to %s", 'tripleo-ci-staging', 'tripleo-ci-staging-promoted') ]) mock_log_warning.assert_has_calls([ mock.call("Candidate label '%s': NO candidate " "hash promoted to %s", 'tripleo-ci-staging', 'tripleo-ci-staging-promoted') ]) self.assertTrue(mock_dlrn_api_promotions.called) # Ensure we terminate normally even in case of promotion failure mock_log_info.assert_has_calls([ mock.call('------- -------- Promoter terminated normally') ]) self.assertEqual(promoted_pairs, []) class TestSelectCandidates(ConfigSetup): @mock.patch('dlrn_client.DlrnClient.fetch_promotions') def test_no_hashes_fetched_returns_empty_list(self, fetch_hashes_mock): old_hashes = [] candidate_hashes = [] fetch_hashes_mock.side_effect = [candidate_hashes, old_hashes] obtained_hashes = self.promoter.select_candidates( 'candidate_label', 'target_label') fetch_hashes_mock.assert_has_calls([ mock.call('candidate_label', count='10'), ]) assert (len(obtained_hashes) == 0) @mock.patch('dlrn_client.DlrnClient.fetch_promotions') def test_no_candidates_returns_empty_list(self, fetch_hashes_mock): hash_dict = { 'timestamp': '1528085424', 'commit_hash': 'd1c5379369b24effdccfe5dde3e93bd21884eda5', 'distro_hash': 'cd4fb616ac3065794b8a9156bbe70ede3d77eff5' } hash = DlrnHash(source=hash_dict) old_hashes = [hash] candidate_hashes = [] fetch_hashes_mock.side_effect = [candidate_hashes, old_hashes] obtained_hashes = self.promoter.select_candidates( 'candidate_label', 'target_label') assert (len(obtained_hashes) == 0) fetch_hashes_mock.assert_has_calls([ mock.call('candidate_label', count='10'), ]) @mock.patch('dlrn_client.DlrnClient.fetch_promotions') def test_no_old_hashes_returns_candidates(self, fetch_hashes_mock): old_hashes = [] hash1_dict = { 'timestamp': '1528085424', 'commit_hash': 'd1c5379369b24effdccfe5dde3e93bd21884eda5', 'distro_hash': 'cd4fb616ac3065794b8a9156bbe70ede3d77eff5' } hash1 = DlrnHash(source=hash1_dict) hash2_dict = { 'timestamp': '1528085434', 'commit_hash': 'd1c5379369b24effdccfe5dde3e93bd21884eda6', 'distro_hash': 'cd4fb616ac3065794b8a9156bbe70ede3d77eff6' } hash2 = DlrnHash(source=hash2_dict) candidate_hashes = [hash1, hash2] fetch_hashes_mock.side_effect = [candidate_hashes, old_hashes] obtained_hashes = self.promoter.select_candidates( 'candidate_label', 'target_label') fetch_hashes_mock.assert_has_calls([ mock.call('candidate_label', count='10'), mock.call('target_label') ]) assert (obtained_hashes == candidate_hashes) @mock.patch('dlrn_client.DlrnClient.fetch_promotions') def test_old_hashes_get_filtered_from_candidates(self, fetch_hashes_mock): old_hashes_dicts = [ { 'timestamp': '1528085424', 'commit_hash': 'd1c5379369b24effdccfe5dde3e93bd21884ed24', 'distro_hash': 'cd4fb616ac3065794b8a9156bbe70ede3d77ef24' }, { 'timestamp': '1528085425', 'commit_hash': 'd1c5379369b24effdccfe5dde3e93bd21884ed25', 'distro_hash': 'cd4fb616ac3065794b8a9156bbe70ede3d77ef25' } ] old_hashes = [] for hash_dict in old_hashes_dicts: old_hashes.append(DlrnHash(source=hash_dict)) # hashes here must be in order, as fetch_hashes now would return the # list in reverse timestamp order candidate_hashes_dicts = [ { 'timestamp': '1528085427', 'commit_hash': 'd1c5379369b24effdccfe5dde3e93bd21884ed27', 'distro_hash': 'cd4fb616ac3065794b8a9156bbe70ede3d77ef27' }, { 'timestamp': '1528085426', 'commit_hash': 'd1c5379369b24effdccfe5dde3e93bd21884ed26', 'distro_hash': 'cd4fb616ac3065794b8a9156bbe70ede3d77ef26' }, { 'timestamp': '1528085425', 'commit_hash': 'd1c5379369b24effdccfe5dde3e93bd21884ed25', 'distro_hash': 'cd4fb616ac3065794b8a9156bbe70ede3d77ef25' }, { 'timestamp': '1528085424', 'commit_hash': 'd1c5379369b24effdccfe5dde3e93bd21884ed24', 'distro_hash': 'cd4fb616ac3065794b8a9156bbe70ede3d77ef24' }, { 'timestamp': '1528085423', 'commit_hash': 'd1c5379369b24effdccfe5dde3e93bd21884ed23', 'distro_hash': 'cd4fb616ac3065794b8a9156bbe70ede3d77ef23' }, ] candidate_hashes = [] for hash_dict in candidate_hashes_dicts: candidate_hashes.append(DlrnHash(source=hash_dict)) expected_hashes_dicts = [ { 'timestamp': '1528085427', 'commit_hash': 'd1c5379369b24effdccfe5dde3e93bd21884ed27', 'distro_hash': 'cd4fb616ac3065794b8a9156bbe70ede3d77ef27' }, { 'timestamp': '1528085426', 'commit_hash': 'd1c5379369b24effdccfe5dde3e93bd21884ed26', 'distro_hash': 'cd4fb616ac3065794b8a9156bbe70ede3d77ef26' }, ] expected_hashes = [] for hash_dict in expected_hashes_dicts: expected_hashes.append(DlrnHash(source=hash_dict)) fetch_hashes_mock.side_effect = [candidate_hashes, old_hashes] obtained_hashes = self.promoter.select_candidates( 'candidate_label', 'target_label') fetch_hashes_mock.assert_has_calls([ mock.call('candidate_label', count='10'), mock.call('target_label') ]) assert (obtained_hashes == expected_hashes)

43.926523

80

0.588226

2,301

24,511

5.943937

0.092134

0.026102

0.035534

0.040214

0.823938

0.790524

0.762594

0.725817

0.691453

0.620458

0

0.040677

0.319979

24,511

557

81

44.005386

0.779878

0.01379

0

0.672

0

0.257242

0.135946

0

0.128

1

0.03

false

0

0.018

0

0.056

0

null

0

1

0

1

0

null

0

5

0458eb4a87747b71effa3100078c0bf7db84fac6

2,012

py

Python

tx_salaries/migrations/0004_auto_20160329_1047.py

texastribune/tx_salaries

197d8da4e1783216830b8d0a5adb23c0200fd3e8

[ "Apache-2.0" ]

6

2016-05-18T05:53:44.000Z

2019-06-13T18:27:50.000Z

tx_salaries/migrations/0004_auto_20160329_1047.py

texastribune/tx_salaries

197d8da4e1783216830b8d0a5adb23c0200fd3e8

[ "Apache-2.0" ]

64

2015-02-13T18:29:04.000Z

2018-06-15T19:48:56.000Z

tx_salaries/migrations/0004_auto_20160329_1047.py

texastribune/tx_salaries

197d8da4e1783216830b8d0a5adb23c0200fd3e8

[ "Apache-2.0" ]

2

2015-05-08T19:22:12.000Z

2016-07-11T16:57:49.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.9.4 on 2016-03-29 15:47 from __future__ import unicode_literals from django.db import migrations, models import tx_people.fields import tx_people.utils class Migration(migrations.Migration): dependencies = [ ('tx_salaries', '0003_auto_20160329_1017'), ] operations = [ migrations.AlterField( model_name='employee', name='compensation', field=models.DecimalField(db_index=True, decimal_places=2, max_digits=12), ), migrations.AlterField( model_name='employee', name='tenure', field=models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True), ), migrations.AlterField( model_name='organizationstats', name='highest_paid', field=models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True), ), migrations.AlterField( model_name='organizationstats', name='lowest_paid', field=models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True), ), migrations.AlterField( model_name='organizationstats', name='median_paid', field=models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True), ), migrations.AlterField( model_name='positionstats', name='highest_paid', field=models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True), ), migrations.AlterField( model_name='positionstats', name='lowest_paid', field=models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True), ), migrations.AlterField( model_name='positionstats', name='median_paid', field=models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True), ), ]

34.689655

94

0.615805

211

2,012

5.672986

0.28436

0.133668

0.167084

0.193818

0.765246

0.696742

0.672515

0

0.038199

0.271372

2,012

57

95

35.298246

0.778308

0.0333

0

0.74

1

0

0.116375

0.011843

0

1

0

false

0

0.08

0

0.14

0

null

0

1

0

1

0

1

0

1

0

null

0

5

f08f8a6dae3efe17833eddbe5ac833727c5815fc

35

py

Python

ryanair/__init__.py

cohaolain/ryanair-py

c756285c9e22017ace44fe3045819e731c5950ba

[ "MIT" ]

3

2022-02-23T11:49:18.000Z

2022-03-29T20:23:19.000Z

ryanair/__init__.py

cohaolain/ryanair-py

c756285c9e22017ace44fe3045819e731c5950ba

[ "MIT" ]

null

ryanair/__init__.py

cohaolain/ryanair-py

c756285c9e22017ace44fe3045819e731c5950ba

[ "MIT" ]

null

from ryanair.ryanair import Ryanair

35

0.885714

5

35

6.2

0.6

0

0.085714

35

1

35

0.96875

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

f0c8281a5a9c9375944d5199f27ebf7c60ec4ecb

39

py

Python

chariothy_common/exception.py

chariothy/pycommon

470d4d3404ea1a1c6a4e5f7fb4c9b02b123c2971

[ "MIT" ]

null

chariothy_common/exception.py

chariothy/pycommon

470d4d3404ea1a1c6a4e5f7fb4c9b02b123c2971

[ "MIT" ]

null

chariothy_common/exception.py

chariothy/pycommon

470d4d3404ea1a1c6a4e5f7fb4c9b02b123c2971

[ "MIT" ]

null

class AppToolError(Exception): pass

19.5

30

0.769231

4

39

7.5

1

0

0.153846

39

2

31

19.5

0.909091

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

f0e1546ad4ea9379177831f7f059c2ebdb00b2ea

204

py

Python

main_downloaded.py

Bodhis4ttva/LHC_Net

8b47dff5117b078a99183afd1d103da06f37361c

[ "MIT" ]

9

2021-12-02T01:57:01.000Z

2022-03-30T13:48:42.000Z

main_downloaded.py

Bodhis4ttva/LHC_Net

8b47dff5117b078a99183afd1d103da06f37361c

[ "MIT" ]

null

main_downloaded.py

Bodhis4ttva/LHC_Net

8b47dff5117b078a99183afd1d103da06f37361c

[ "MIT" ]

4

2022-02-28T12:53:43.000Z

2022-03-30T09:34:50.000Z

exec(open("Download_Data.py").read()) exec(open("ETL.py").read()) exec(open("Download_Models.py").read()) exec(open("LHC_Downloaded_Eval.py").read()) exec(open("Controller_Downloaded_Eval.py").read())

40.8

50

0.715686

31

204

4.516129

0.387097

0.285714

0.4

0

0.039216

204

5

50

40.8

0.714286

0

0.452736

0.253731

0

1

0

true

0

null

1

0

1

0

null

0

1

0

5

f0e602d83468d97dcbd4ebb1156e1f223fbb4efb

119

py

Python

whatsapp_tracker/data_structures/setup_data_structures.py

itay-bardugo/whatsapp_tracker

c53a309b08bf47597c8191ec0a155a1fe1536842

[ "MIT" ]

1

2021-09-25T12:22:35.000Z

whatsapp_tracker/data_structures/setup_data_structures.py

itay-bardugo/whatsapp_tracker

c53a309b08bf47597c8191ec0a155a1fe1536842

[ "MIT" ]

null

whatsapp_tracker/data_structures/setup_data_structures.py

itay-bardugo/whatsapp_tracker

c53a309b08bf47597c8191ec0a155a1fe1536842

[ "MIT" ]

null

from collections import namedtuple SetupSeleniumDataStructure = namedtuple('SetupSeleniumDataStructure', ('driver',))

29.75

82

0.831933

8

119

12.375

0.75

0.727273

0

0.07563

119

3

83

39.666667

0.9

0

0.268908

0.218487

0

1

0

false

0

0.5

0

0.5

0

1

0

1

null

1

0

1

0

null

0

1

0

5

f0f17119bc54b6e9026d944faf728c6a183559c5

244

py

Python

LnkParse3/target/internet.py

ernix/LnkParse3

ab8b2c796a501b103eb74142762e7fe9f4f1960a

[ "MIT" ]

null

LnkParse3/target/internet.py

ernix/LnkParse3

ab8b2c796a501b103eb74142762e7fe9f4f1960a

[ "MIT" ]

null

LnkParse3/target/internet.py

ernix/LnkParse3

ab8b2c796a501b103eb74142762e7fe9f4f1960a

[ "MIT" ]

null

from LnkParse3.target.lnk_target_base import LnkTargetBase # https://github.com/libyal/libfwsi/blob/master/documentation/Windows%20Shell%20Item%20format.asciidoc#37-uri-shell-item # TODO: rename to uri class Internet(LnkTargetBase): pass

30.5

120

0.811475

33

244

5.939394

0.909091

0

0.040179

0.081967

244

7

121

34.857143

0.834821

0.561475

0

0.142857

0

1

0

true

0.333333

0

0.666667

0

null

0

1

0

null

0

1

0

1

0

5

f0fe813404b9472b982a3d5c76a01046ca05a82d

6,168

py

Python

src/human_lambdas/user_handler/tests/test_invite_endpoint.py

Human-Lambdas/human-lambdas

9a2f2317f0c8dbfbfa88f3ba4994de7e6b2c4d50

[ "Apache-2.0" ]

25

2021-06-08T08:00:08.000Z

2022-03-17T22:49:10.000Z

src/human_lambdas/user_handler/tests/test_invite_endpoint.py

Human-Lambdas/human-lambdas

9a2f2317f0c8dbfbfa88f3ba4994de7e6b2c4d50

[ "Apache-2.0" ]

null

src/human_lambdas/user_handler/tests/test_invite_endpoint.py

Human-Lambdas/human-lambdas

9a2f2317f0c8dbfbfa88f3ba4994de7e6b2c4d50

[ "Apache-2.0" ]

5

2021-06-15T09:57:46.000Z

2022-02-03T16:18:33.000Z

import logging from django.test.utils import override_settings from rest_framework import status from rest_framework.test import APITestCase from human_lambdas.user_handler.models import Organization, User logger = logging.getLogger(__name__) logging.disable(logging.DEBUG) class TestInvite(APITestCase): def setUp(self): self.preset_user_name = "foo" self.preset_user_email = "foo@bar.com" self.preset_changed_email = "bar@foo.com" self.organization_name = "barinc" self.preset_user_password = "foowordbar" user = User(name=self.preset_user_name, email=self.preset_user_email) user.set_password(self.preset_user_password) user.save() response = self.client.post( "/v1/users/token", {"email": "foo@bar.com", "password": "foowordbar"} ) self.access_token = response.data["access"] self.refresh = response.data["refresh"] organization = Organization(name=self.organization_name) organization.save() self.org_id = organization.id organization.add_admin(user) @override_settings(DEBUG=True) def test_endpoint_call(self): self.client.credentials(HTTP_AUTHORIZATION="Bearer " + self.access_token) response = self.client.post( "/v1/orgs/{0}/invite".format(self.org_id), {"emails": "seanfahy45@gmail.com,alpha@beta.com,gamma@delta.com"}, ) self.assertEqual(response.status_code, status.HTTP_200_OK) @override_settings(DEBUG=True) def test_endpoint_call_with_spaces(self): self.client.credentials(HTTP_AUTHORIZATION="Bearer " + self.access_token) response = self.client.post( "/v1/orgs/{0}/invite".format(self.org_id), {"emails": "lambda@sigma.com ,alpha@beta.com, gamma@delta.com "}, ) self.assertEqual(response.status_code, status.HTTP_200_OK) @override_settings(DEBUG=True) def test_endpoint_call_duplicate_emails(self): self.client.credentials(HTTP_AUTHORIZATION="Bearer " + self.access_token) response = self.client.post( "/v1/orgs/{0}/invite".format(self.org_id), { "emails": "lambda@sigma.com,alpha@beta.com,gamma@delta.com,alpha@beta.com", }, ) self.assertEqual(response.status_code, status.HTTP_200_OK) @override_settings(DEBUG=True) def test_endpoint_call_no_jwt(self): response = self.client.post( "/v1/orgs/{0}/invite".format(self.org_id), {"emails": "lambda@sigma.com,alpha@beta.com,gamma@delta.com"}, ) self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) @override_settings(DEBUG=True) def test_endpoint_call_already_added_email(self): self.client.credentials(HTTP_AUTHORIZATION="Bearer " + self.access_token) response = self.client.post( "/v1/orgs/{0}/invite".format(self.org_id), {"emails": "lambda@sigma.com,foo@bar.com,gamma@delta.com"}, ) self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST) @override_settings(DEBUG=True) def test_endpoint_call_invalid_emails(self): self.client.credentials(HTTP_AUTHORIZATION="Bearer " + self.access_token) response = self.client.post( "/v1/orgs/{0}/invite".format(self.org_id), {"emails": "lambda@sigma.com,foo@foo,bar.com"}, ) self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST) @override_settings(DEBUG=True) def test_endpoint_call_invalid_emails_and_already_added_emails(self): self.client.credentials(HTTP_AUTHORIZATION="Bearer " + self.access_token) response = self.client.post( "/v1/orgs/{0}/invite".format(self.org_id), {"emails": "lambda@sigma.com,foo@foo,bar.com,foo@bar.com"}, ) self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST) @override_settings(DEBUG=True) def test_endpoint_call_email_with_underscore(self): self.client.credentials(HTTP_AUTHORIZATION="Bearer " + self.access_token) response = self.client.post( "/v1/orgs/{0}/invite".format(self.org_id), {"emails": "lam__bda@sigma.com,foo@foobarinc.com"}, ) self.assertEqual(response.status_code, status.HTTP_200_OK) def test_endpoint_call_get(self): self.client.credentials(HTTP_AUTHORIZATION="Bearer " + self.access_token) response = self.client.get("/v1/orgs/{0}/invite".format(self.org_id)) self.assertEqual(response.status_code, status.HTTP_200_OK) def test_endpoint_call_delete(self): self.client.credentials(HTTP_AUTHORIZATION="Bearer " + self.access_token) response = self.client.post( "/v1/orgs/{0}/invite".format(self.org_id), {"emails": "delete@me.com"}, ) response = self.client.delete( "/v1/orgs/{0}/invite".format(self.org_id), {"email": "delete@me.com"} ) self.assertEqual(response.status_code, status.HTTP_200_OK) def test_endpoint_call_patch(self): self.client.credentials(HTTP_AUTHORIZATION="Bearer " + self.access_token) response = self.client.post( "/v1/orgs/{0}/invite".format(self.org_id), {"emails": "patch@me.com"}, ) self.assertEqual(response.status_code, status.HTTP_200_OK) response = self.client.patch( "/v1/orgs/{0}/invite".format(self.org_id), {"email": "patch@me.com", "admin": True}, ) self.assertEqual(response.status_code, status.HTTP_200_OK) response = self.client.get("/v1/orgs/{0}/invite".format(self.org_id)) self.assertEqual(response.status_code, status.HTTP_200_OK) def test_endpoint_call_delete_no_invite(self): self.client.credentials(HTTP_AUTHORIZATION="Bearer " + self.access_token) response = self.client.delete( "/v1/orgs/{0}/invite".format(self.org_id), {"email": "delete@me.com"} ) self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)

42.246575

91

0.661965

762

6,168

5.132546

0.128609

0.069036

0.073638

0.049859

0.764255

0.758118

0.735617

0.72718

0

0.015322

0.206388

6,168

145

92

42.537931

0.783657

0

0.496

0

0.008

0.159533

0.051232

0

0.112

1

0.104

false

0.024

0.04

0

0.152

0

null

0

1

0

null

0

5

9beec96bcecb2d1d2e9cbff2af883058c9b85122

58

py

Python

drl_grasping/envs/randomizers/__init__.py

Tiamat-Tech/drl_grasping

e67efee1cdbeeb3cb1e4d028890bbfc601e7840c

[ "BSD-3-Clause" ]

126

2020-11-02T11:08:07.000Z

2022-03-31T16:25:06.000Z

drl_grasping/envs/randomizers/__init__.py

Tiamat-Tech/drl_grasping

e67efee1cdbeeb3cb1e4d028890bbfc601e7840c

[ "BSD-3-Clause" ]

68

2020-11-02T13:18:29.000Z

2022-02-27T17:38:50.000Z

drl_grasping/envs/randomizers/__init__.py

Tiamat-Tech/drl_grasping

e67efee1cdbeeb3cb1e4d028890bbfc601e7840c

[ "BSD-3-Clause" ]

27

2021-01-20T16:15:41.000Z

2022-03-15T10:44:43.000Z

from .manipulation import ManipulationGazeboEnvRandomizer

29

57

0.913793

4

58

13.25

1

0

0.068966

58

1

58

0.981481

0

1

0

true

0

1

0

1

0

1

0

1

null

0

1

0

null

0

1

0

1

0

5

9befad094245918eb47297d5dade47947a1d92fe

53

py

Python

server/app/users/viewsets/custom/__init__.py

catvitalio/personal-budget

b4470115ebbfd185a8a781a2024787cbfe822639

[ "MIT" ]

null

server/app/users/viewsets/custom/__init__.py

catvitalio/personal-budget

b4470115ebbfd185a8a781a2024787cbfe822639

[ "MIT" ]

null

server/app/users/viewsets/custom/__init__.py

catvitalio/personal-budget

b4470115ebbfd185a8a781a2024787cbfe822639

[ "MIT" ]

null

from .obtain_auth_token import CustomObtainAuthToken

26.5

52

0.90566

6

53

7.666667

1

0

0.075472

53

1

53

0.938776

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

9bf3c4869bce2da6c9f2b945a366d030b97d015a

96

py

Python

lenz/__init__.py

zhzLuke96/lenz

be1b902b1ea5541b3262bc01b6172399a424ba65

[ "MIT" ]

null

lenz/__init__.py

zhzLuke96/lenz

be1b902b1ea5541b3262bc01b6172399a424ba65

[ "MIT" ]

null

lenz/__init__.py

zhzLuke96/lenz

be1b902b1ea5541b3262bc01b6172399a424ba65

[ "MIT" ]

null

from .clipper import BM from .favor import favor from .word_dig import dig_words,clear_knowWord

24

46

0.833333

16

96

4.8125

0.625

0

0.125

96

3

47

32

0.916667

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

502cfa2d758acf084a5ea0f4ef4062cdc3894d76

84

py

Python

Codewars/Gauss_needs_help - (7 kyu).py

maxcohen31/A-bored-math-student

007beb4dabf7b4406f48e9a3a967c29d032eab89

[ "MIT" ]

null

Codewars/Gauss_needs_help - (7 kyu).py

maxcohen31/A-bored-math-student

007beb4dabf7b4406f48e9a3a967c29d032eab89

[ "MIT" ]

null

Codewars/Gauss_needs_help - (7 kyu).py

maxcohen31/A-bored-math-student

007beb4dabf7b4406f48e9a3a967c29d032eab89

[ "MIT" ]

null

def f(n): return n * (n + 1) // 2 if isinstance(n, int) and n > 0 else None

28

69

0.52381

17

84

2.588235

0.764706

0

0.052632

0.321429

84

3

70

28

0.719298

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

ac94558207e972143b586c9ac471de2b1c4cedf0

1,490

py

Python

opacus/tests/grad_samples/layer_norm_test.py

dorry1996/opacus

92111c6cd019e300e7844830f2630e4ed81aa7d1

[ "Apache-2.0" ]

1

2021-04-20T06:24:45.000Z

opacus/tests/grad_samples/layer_norm_test.py

dorry1996/opacus

92111c6cd019e300e7844830f2630e4ed81aa7d1

[ "Apache-2.0" ]

4

2021-09-20T22:26:11.000Z

2022-02-27T13:43:09.000Z

opacus/tests/grad_samples/layer_norm_test.py

PenelopeCorsica/opacus

42fec65c6ea96a86af8109be2eecc79c0e1b686e

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved import torch import torch.nn as nn from .common import GradSampleHooks_test class LayerNorm_test(GradSampleHooks_test): def test_2d_input_1d_norm(self): N, W = 32, 17 norm = nn.LayerNorm(W, elementwise_affine=True) x = torch.randn([N, W]) self.run_test(x, norm, batch_first=True) def test_3d_input_1d_norm(self): N, Z, W = 32, 4, 10 norm = nn.LayerNorm(W, elementwise_affine=True) x = torch.randn([N, Z, W]) self.run_test(x, norm, batch_first=True) def test_3d_input_2d_norm(self): N, Z, W = 32, 4, 10 norm = nn.LayerNorm([Z, W], elementwise_affine=True) x = torch.randn([N, Z, W]) self.run_test(x, norm, batch_first=True) def test_4d_input_1d_norm(self): N, C, H, W = 32, 4, 3, 10 norm = nn.LayerNorm(W, elementwise_affine=True) x = torch.randn([N, C, H, W]) self.run_test(x, norm, batch_first=True) def test_4d_input_2d_norm(self): N, C, H, W = 32, 4, 3, 10 norm = nn.LayerNorm([H, W], elementwise_affine=True) x = torch.randn([N, C, H, W]) self.run_test(x, norm, batch_first=True) def test_4d_input_3d_norm(self): N, C, H, W = 32, 4, 3, 10 norm = nn.LayerNorm([C, H, W], elementwise_affine=True) x = torch.randn([N, C, H, W]) self.run_test(x, norm, batch_first=True)

31.702128

70

0.60604

245

1,490

3.502041

0.2

0.018648

0.024476

0.153846

0.780886

0.752914

0

0.040798

0.259732

1,490

46

71

32.391304

0.737081

0.060403

0

0.558824

0

1

0.176471

false

0

0.088235

0

0.294118

0

null

0

1

0

null

0

5

acc11228910f4b6918fa413d64b947b75ac1289d

6,910

py

Python

orchestra/utils/tests/test_common_helpers.py

code-review-doctor/orchestra

1ba58d26c508e89d2050dc9b0c8439eb1eadd014

[ "Apache-2.0" ]

444

2016-07-25T05:24:30.000Z

2022-02-21T08:12:29.000Z

orchestra/utils/tests/test_common_helpers.py

code-review-doctor/orchestra

1ba58d26c508e89d2050dc9b0c8439eb1eadd014

[ "Apache-2.0" ]

395

2016-07-26T20:49:59.000Z

2022-03-15T20:58:45.000Z

orchestra/utils/tests/test_common_helpers.py

code-review-doctor/orchestra

1ba58d26c508e89d2050dc9b0c8439eb1eadd014

[ "Apache-2.0" ]

63

2016-07-26T04:10:21.000Z

2022-03-29T03:32:19.000Z

from django.test import TestCase from unittest.mock import patch from orchestra.models import Todo from orchestra.tests.helpers.fixtures import WorkerFactory from orchestra.tests.helpers.fixtures import UserFactory from orchestra.tests.helpers.fixtures import TodoFactory from orchestra.tests.helpers.fixtures import StepFactory from orchestra.tests.helpers.fixtures import ProjectFactory from orchestra.utils.common_helpers import get_update_message from orchestra.utils.common_helpers import notify_single_todo_update class ViewHelpersTests(TestCase): def setUp(self): super().setUp() self.project = ProjectFactory() step = StepFactory() self.old_title = 'Old title' self.new_title = 'New title' self.old_details = 'Old details' self.new_details = 'New details' self.old_todo = TodoFactory( title=self.old_title, details=self.old_details, project=self.project, step=step) self.new_todo = TodoFactory( title=self.new_title, details=self.new_details, status=Todo.Status.COMPLETED.value, project=self.project, step=step) self.sender = UserFactory() def test_empty_msg_if_no_updates(self): old_todo = self.new_todo msg = get_update_message(old_todo, self.new_todo, self.sender) expected_msg = '' self.assertEqual(msg, expected_msg) def test_fields_updated_completed_with_sender(self): msg = get_update_message(self.old_todo, self.new_todo, self.sender) expected_msg = ( '{} has updated `{}`: marked complete, ' 'changed title and details' ).format(self.sender.username, self.new_todo.title) self.assertEqual(msg, expected_msg) # Reversing the change msg = get_update_message(self.new_todo, self.old_todo, self.sender) expected_msg = ( '{} has updated `{}`: marked incomplete, ' 'changed title and details' ).format(self.sender.username, self.old_todo.title) self.assertEqual(msg, expected_msg) def test_fields_updated_completed_without_sender(self): msg = get_update_message(self.old_todo, self.new_todo) expected_msg = ( '`{}` has been updated: marked complete, ' 'changed title and details' ).format(self.new_todo.title) self.assertEqual(msg, expected_msg) # Reversing the change msg = get_update_message(self.new_todo, self.old_todo) expected_msg = ( '`{}` has been updated: marked incomplete, ' 'changed title and details' ).format(self.old_todo.title) self.assertEqual(msg, expected_msg) def test_fields_not_updated_completed(self): new_todo = TodoFactory( title=self.old_title, details=self.old_details, status=Todo.Status.COMPLETED.value) msg = get_update_message(self.old_todo, new_todo, self.sender) expected_msg = '{} has updated `{}`: marked complete'.format( self.sender.username, new_todo.title) self.assertEqual(msg, expected_msg) # Reversing the change msg = get_update_message(new_todo, self.old_todo, self.sender) expected_msg = '{} has updated `{}`: marked incomplete'.format( self.sender.username, new_todo.title) self.assertEqual(msg, expected_msg) def test_fields_not_updated_not_relevant(self): new_todo = TodoFactory( title=self.old_title, details=self.old_details, status=Todo.Status.DECLINED.value) msg = get_update_message(self.old_todo, new_todo, self.sender) expected_msg = '{} has updated `{}`: marked not relevant'.format( self.sender.username, new_todo.title) self.assertEqual(msg, expected_msg) # No sender msg = get_update_message(self.old_todo, new_todo) expected_msg = '`{}` has been updated: marked not relevant'.format( new_todo.title) self.assertEqual(msg, expected_msg) # Reversing the change msg = get_update_message(new_todo, self.old_todo) expected_msg = '`{}` has been updated: marked relevant'.format( new_todo.title) self.assertEqual(msg, expected_msg) def test_fields_updated(self): old_todo = TodoFactory( title=self.old_title, details=self.old_details) new_todo = TodoFactory( title=self.new_title, details=self.new_details) msg = get_update_message(old_todo, new_todo, self.sender) expected_msg = ( '{} has updated `{}`: changed title and details').format( self.sender.username, new_todo.title) self.assertEqual(msg, expected_msg) # Only title has changed old_todo = TodoFactory( title=self.old_title, details=self.old_details) new_todo = TodoFactory( title=self.new_title, details=self.old_details) msg = get_update_message(old_todo, new_todo, self.sender) expected_msg = ( '{} has updated `{}`: changed title').format( self.sender.username, new_todo.title) self.assertEqual(msg, expected_msg) @patch('orchestra.utils.common_helpers.message_experts_slack_group') def test_notify_single_todo_update(self, mock_slack): # Level 0 todos WorkerFactory(user=self.sender) notify_single_todo_update( self.sender, self.old_todo, self.new_todo) self.assertEqual(mock_slack.call_count, 1) # Level 1 todos parent_todo_level_1 = TodoFactory(title='Parent todo') old_todo = TodoFactory( title=self.old_title, parent_todo=parent_todo_level_1, project=self.project, details=self.old_details) new_todo = TodoFactory( title=self.new_title, parent_todo=parent_todo_level_1, project=self.project, details=self.new_details) notify_single_todo_update(self.sender, old_todo, new_todo) self.assertEqual(mock_slack.call_count, 2) # Level 2 todos parent_todo_level_2 = TodoFactory( title='Parent todo', parent_todo=parent_todo_level_1) old_todo = TodoFactory( title=self.old_title, parent_todo=parent_todo_level_2, project=self.project, details=self.old_details) new_todo = TodoFactory( title=self.new_title, parent_todo=parent_todo_level_2, project=self.project, details=self.new_details) notify_single_todo_update(self.sender, old_todo, new_todo) self.assertEqual(mock_slack.call_count, 2)

38.603352

75

0.643994

820

6,910

5.165854

0.09878

0.05288

0.038952

0.067989

0.84136

0.827668

0.717422

0.713881

0.69051

0.630312

0

0.002565

0.26657

6,910

178

76

38.820225

0.833268

0.022865

0

0.550336

0

0.097004

0.008603

0

0.005618

0.100671

1

0.053691

false

0

0.067114

0

0.127517

0

null

0

1

0

1

0

null

0

5

aceb16bc73c90655ecc1b45e26b5615aac66074f

101

py

Python

gtts/tokenizer/__init__.py

onsunsl/gTTS

c7ea4fb8a3ababd9dfa9fb35b99232be4347cce6

[ "MIT" ]

3

2019-04-10T18:14:46.000Z

2020-10-26T05:08:05.000Z

gtts/tokenizer/__init__.py

onsunsl/gTTS

c7ea4fb8a3ababd9dfa9fb35b99232be4347cce6

[ "MIT" ]

null

gtts/tokenizer/__init__.py

onsunsl/gTTS

c7ea4fb8a3ababd9dfa9fb35b99232be4347cce6

[ "MIT" ]

null

# -*- coding: utf-8 -* from .core import RegexBuilder, PreProcessorRegex, PreProcessorSub, Tokenizer

33.666667

77

0.762376

10

101

7.7

1

0

0.011236

0.118812

101

2

78

50.5

0.853933

0.19802

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

acf5fda3f3362b06bbf39c1152b9bc75996671aa

76

py

Python

afterglow_core/views/public_api/__init__.py

SkynetRTN/afterglow-access-server

3d8d62f622577fdd1ae7b0076cb536251f7bf0cd

[ "Apache-2.0" ]

2

2021-05-24T15:12:07.000Z

2022-02-17T19:58:16.000Z

afterglow_core/views/public_api/__init__.py

SkynetRTN/afterglow-access-server

3d8d62f622577fdd1ae7b0076cb536251f7bf0cd

[ "Apache-2.0" ]

1

2022-02-27T03:01:06.000Z

afterglow_core/views/public_api/__init__.py

SkynetRTN/afterglow-access-server

3d8d62f622577fdd1ae7b0076cb536251f7bf0cd

[ "Apache-2.0" ]

2

2021-06-08T18:16:40.000Z

2021-07-09T14:19:49.000Z

""" Afterglow Core: views for all public API versions """ from . import v1

12.666667

49

0.697368

11

76

4.818182

1

0

0.016393

0.197368

76

5

50

15.2

0.852459

0.644737

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

4a17a383ac65a80ef23430148eca21cd0cb3ea48

125

py

Python

visits_detector/core/__init__.py

AlexFridman/visits-detector

3df0c719c60c751ad449341fe5f68383352e8f5e

[ "MIT" ]

null

visits_detector/core/__init__.py

AlexFridman/visits-detector

3df0c719c60c751ad449341fe5f68383352e8f5e

[ "MIT" ]

null

visits_detector/core/__init__.py

AlexFridman/visits-detector

3df0c719c60c751ad449341fe5f68383352e8f5e

[ "MIT" ]

null

from extract_events_reducer import ExtractEventsReducer from filter_and_map_to_index_mapper import FilterAndMapToIndexMapper

41.666667

68

0.936

15

125

7.333333

0.866667

0

0.064

125

2

69

62.5

0.940171

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

c597923e9669982436ad215a2a6597e783b7981e

373

py

Python

library/library_project/books/models.py

yadav-vikas/Django_REST_api

d37609b7d6776d8409185021ead7c94eb344e5eb

[ "MIT" ]

null

library/library_project/books/models.py

yadav-vikas/Django_REST_api

d37609b7d6776d8409185021ead7c94eb344e5eb

[ "MIT" ]

null

library/library_project/books/models.py

yadav-vikas/Django_REST_api

d37609b7d6776d8409185021ead7c94eb344e5eb

[ "MIT" ]

null

from django.db import models class Book(models.Model): title = models.CharField(max_length=250) subtitle = models.CharField(max_length=250) author = models.CharField(max_length=100) isbn = models.CharField(max_length=13) #an ISBN is a unique, 13-character identifier assigned to every published book. def __str__(self): return self.title

28.692308

83

0.726542

52

373

5.057692

0.615385

0.228137

0.273764

0.365019

0.205323

0

0.042763

0.184987

373

12

84

31.083333

0.822368

0.209115

0

1

0.125

false

0

0.125

1

0

null

1

0

null

0

1

0

5

c59c4d0c74e4459e813f633c55e894584fb7ca00

157

py

Python

DiscreteMath/descartes_multiplication.py

limitedeternity/some-gists

c9e3279a0e2c1eef2b10b28f61176ac7a7ffa1fe

[ "MIT" ]

4

2019-12-15T17:17:35.000Z

2022-01-08T22:28:54.000Z

DiscreteMath/descartes_multiplication.py

limitedeternity/some-gists

c9e3279a0e2c1eef2b10b28f61176ac7a7ffa1fe

[ "MIT" ]

null

DiscreteMath/descartes_multiplication.py

limitedeternity/some-gists

c9e3279a0e2c1eef2b10b28f61176ac7a7ffa1fe

[ "MIT" ]

null

from functools import reduce from itertools import product # -> [(1, 1), (1, 4), (2, 1), (2, 4), (3, 1), (3, 4)] list(reduce(product, [(1, 2, 3), (1, 4)]))

26.166667

53

0.541401

28

157

3.035714

0.392857

0.188235

0

0.132813

0.184713

157

5

54

31.4

0.53125

0.324841

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

c5ac803e24649b72cdabe2230f4496fc3e249926

178

py

Python

lmctl/environment/__init__.py

manojn97/lmctl

844925cb414722351efac90cb97f10c1185eef7a

[ "Apache-2.0" ]

3

2021-07-19T09:46:01.000Z

2022-03-07T13:51:25.000Z

lmctl/environment/__init__.py

manojn97/lmctl

844925cb414722351efac90cb97f10c1185eef7a

[ "Apache-2.0" ]

43

2019-08-27T12:36:29.000Z

2020-08-27T14:50:40.000Z

lmctl/environment/__init__.py

manojn97/lmctl

844925cb414722351efac90cb97f10c1185eef7a

[ "Apache-2.0" ]

7

2020-09-22T20:32:17.000Z

2022-03-29T12:25:51.000Z

from .armenv import ArmEnvironment, ArmSession, ArmSessionConfig from .lmenv import TNCOEnvironment, LmEnvironment, LmSession, LmSessionConfig from .group import EnvironmentGroup

59.333333

77

0.865169

17

178

9.058824

0.764706

0

0.089888

178

3

78

59.333333

0.950617

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

681927c17d6c08423e779772e6caffdfa831f104

29

py

Python

model/__init__.py

ResByte/aptos-blindness-pytorch

7e0825336d1c1a82c8a4a405102df713580ec184

[ "Apache-2.0" ]

null

model/__init__.py

ResByte/aptos-blindness-pytorch

7e0825336d1c1a82c8a4a405102df713580ec184

[ "Apache-2.0" ]

null

model/__init__.py

ResByte/aptos-blindness-pytorch

7e0825336d1c1a82c8a4a405102df713580ec184

[ "Apache-2.0" ]

null

from .model import AptosModel

29

0.862069

4

29

6.25

1

0

0.103448

29

1

29

0.961538

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

a892d34d1fc00b5db25c96bb5a9e42918811789b

236

py

Python

CREED_VTK/telescope/__init__.py

thomasgas/CREED_VTK

2bc1a684305303620278f410d602d25b179a0d92

[ "MIT" ]

null

CREED_VTK/telescope/__init__.py

thomasgas/CREED_VTK

2bc1a684305303620278f410d602d25b179a0d92

[ "MIT" ]

7

2018-12-07T16:33:52.000Z

2019-03-20T22:29:32.000Z

CREED_VTK/telescope/__init__.py

thomasgas/CREED_VTK

2bc1a684305303620278f410d602d25b179a0d92

[ "MIT" ]

null

from .LST import * from .MST import * from .SST import * __all__ = ['LST_tel_structure', 'LST_create_mirror_plane', 'MST_create_mirror_plane', 'MST_tel_structure', 'SST_primary_mirror_plane', 'SST_tel_structure']

29.5

59

0.707627

31

236

4.774194

0.387097

0.243243

0.22973

0.27027

0

0.182203

236

7

60

33.714286

0.766839

0

0.512712

0.29661

0

1

0

false

0

0.5

0

0.5

0

null

1

0

1

0

null

0

1

0

5

a89f61edf125edb5dca380c8db0a42e23add23d0

210

py

Python

setup.py

bpizzani/BankAccountPackage

60b158dbb8b7a619fb7713cbca279800e80c233f

[ "MIT" ]

null

setup.py

bpizzani/BankAccountPackage

60b158dbb8b7a619fb7713cbca279800e80c233f

[ "MIT" ]

null

setup.py

bpizzani/BankAccountPackage

60b158dbb8b7a619fb7713cbca279800e80c233f

[ "MIT" ]

null

from setuptools import setup setup(name="bank_account_pizzani", version = "0.1", description = "Bank Account", packages = ["bank_account_pizzani"], author = "Bruno Pizzani Mendoza", zip_safe=False)

26.25

38

0.719048

26

210

5.615385

0.730769

0.226027

0.246575

0

0.011299

0.157143

210

8

39

26.25

0.813559

0

0.372549

0

1

0

true

0

0.142857

0

0.142857

0

1

0

null

1

0

1

0

null

0

1

0

5

767ab749b9f526f04bb7ea0a206f6d3ce8f6f874

79

py

Python

ac_compiler/util/__init__.py

nicklambourne/crafting-a-compiler

4dde7390f4bdf83dedaca2e8b8b83ee42d270638

[ "BSD-3-Clause" ]

4

2020-04-03T14:06:46.000Z

2021-12-20T12:53:10.000Z

ac_compiler/util/__init__.py

nicklambourne/crafting-a-compiler

4dde7390f4bdf83dedaca2e8b8b83ee42d270638

[ "BSD-3-Clause" ]

null

ac_compiler/util/__init__.py

nicklambourne/crafting-a-compiler

4dde7390f4bdf83dedaca2e8b8b83ee42d270638

[ "BSD-3-Clause" ]

1

2021-02-11T22:34:39.000Z

from .error import LexicalError, SyntaxParsingError, SymbolError, SemanticError

79

0.873418

7

79

9.857143

1

0

0.075949

79

1

79

0.945205

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

76c6cbdd30dae099456d9ff16393ef8ad736f1a7

42,388

py

Python

src/ifeatpro/features.py

deeprob/ifeatpro

e91006334d3644529df0005304d3ba9639be8824

[ "MIT" ]

null

src/ifeatpro/features.py

deeprob/ifeatpro

e91006334d3644529df0005304d3ba9639be8824

[ "MIT" ]

null

src/ifeatpro/features.py

deeprob/ifeatpro

e91006334d3644529df0005304d3ba9639be8824

[ "MIT" ]

null

import re from collections import Counter import os import math import numpy as np from importlib.resources import open_text from . import data FEAT_TYPES = ('aac', 'cksaap', 'tpc', 'dpc', 'dde', 'gaac', 'cksaagp', 'gtpc', 'gdpc', 'moran', 'geary', 'nmbroto', 'ctdc', 'ctdt', 'ctdd', 'ctriad', 'ksctriad', 'socnumber', 'qsorder', 'paac', 'apaac') def read_fasta(file): """ Reads a fasta file and returns a list of lists where the inner list contains an enzyme name and sequence. :param file: filepath to the fasta file :return: nested list where each inner list contains an enzyme name and its sequence """ if not os.path.exists(file): raise ValueError('Error: "' + file + '" does not exist.') with open(file) as f: records = f.read() if re.search('>', records) is None: raise TypeError('The input file does not seem to be in fasta format.') records = records.split('>')[1:] myFasta = [] for fasta in records: array = fasta.split('\n') name, sequence = array[0].split()[0], re.sub('[^ARNDCQEGHILKMFPSTWYV-]', '-', ''.join(array[1:]).upper()) myFasta.append([name, sequence]) return myFasta def min_seq_len(fastas): """ A function to determine the length of the shortest sequence in the given fasta file :param fastas: :return: """ minLen = 10000 for i in fastas: if minLen > len(i[1]): minLen = len(i[1]) return minLen def min_seq_len_norm_aa(fastas): """ A function to determine the length of the shortest sequence in the given fasta file where sequences can only be represented by the set of 20 "Normal" amino acids :param fastas: :return: """ minLen = 10000 for i in fastas: if minLen > len(re.sub('-', '', i[1])): minLen = len(re.sub('-', '', i[1])) return minLen def save_csv(encodings, file='encoding.csv'): """ Save the protein feature encodings in a csv file :param encodings: :param file: :return: """ with open(file, 'w') as f: for lines in encodings: f.write(','.join(map(str, lines))) f.write('\n') return None def aac(fastas, **kw): """ Function to create Amino Acid Composition encoding of protein sequences :param fastas: protein sequences in fasta format :param kw: optional keyword arguments that can be provided by the user :return: Amino Acid Composition encoding """ AA = kw['order'] if kw['order'] is not None else 'ACDEFGHIKLMNPQRSTVWY' encodings = [] for i in fastas: name, sequence = i[0], re.sub('-', '', i[1]) count = Counter(sequence) for key in count: count[key] = count[key] / len(sequence) code = [name] for aa in AA: code.append(count[aa]) encodings.append(code) return encodings def apaac(fastas, lambda_value=30, w=0.05, **kw): """ Function to generate the pseudo amino acid encoding of protein sequences :param fastas: :param lambda_value: :param w: :param kw: Not required in this case. It is given to increase make function calling generalizable :return: """ if min_seq_len_norm_aa(fastas) < lambda_value + 1: raise AssertionError('All sequences should have length larger than parameter lambda_value:' + str(lambda_value + 1)) # data_dir = os.path.dirname(os.path.realpath(__file__)) # data_file = os.path.join(data_dir, 'data', 'PAAC.txt') # with open(data_file) as f: # records = f.readlines() records = open_text(data, "PAAC.txt").readlines() AA = ''.join(records[0].rstrip().split()[1:]) AADict = {} for i in range(len(AA)): AADict[AA[i]] = i AAProperty = [] AAPropertyNames = [] for i in range(1, len(records) - 1): array = records[i].rstrip().split() if records[i].rstrip() != '' else None AAProperty.append([float(j) for j in array[1:]]) AAPropertyNames.append(array[0]) AAProperty1 = [] for i in AAProperty: meanI = sum(i) / 20 fenmu = math.sqrt(sum([(j - meanI) ** 2 for j in i]) / 20) AAProperty1.append([(j - meanI) / fenmu for j in i]) encodings = [] for i in fastas: name, sequence = i[0], re.sub('-', '', i[1]) code = [name] theta = [] for n in range(1, lambda_value + 1): for j in range(len(AAProperty1)): theta.append(sum([AAProperty1[j][AADict[sequence[k]]] * AAProperty1[j][AADict[sequence[k + n]]] for k in range(len(sequence) - n)]) / (len(sequence) - n)) myDict = {} for aa in AA: myDict[aa] = sequence.count(aa) code = code + [myDict[aa] / (1 + w * sum(theta)) for aa in AA] code = code + [w * value / (1 + w * sum(theta)) for value in theta] encodings.append(code) return encodings def gen_group_pairs(group_key): """ Helper function for cksaagp :param group_key: :return: """ gPair = {} for key1 in group_key: for key2 in group_key: gPair[key1 + '.' + key2] = 0 return gPair def cksaagp(fastas, gap=5, **kw): """ Function to generate cksaagp encoding of protein sequences :param fastas: :param gap: :param kw: :return: """ if gap < 0: raise AssertionError('Gap should be equal or greater than zero') if min_seq_len(fastas) < gap + 2: raise AssertionError(f"All sequences should have length greater than the (gap value) + 2 = {str(gap + 2)}") group = { 'alphaticr': 'GAVLMI', 'aromatic': 'FYW', 'postivecharger': 'KRH', 'negativecharger': 'DE', 'uncharger': 'STCPNQ' } AA = 'ARNDCQEGHILKMFPSTWYV' groupKey = group.keys() index = {} for key in groupKey: for aa in group[key]: index[aa] = key gPairIndex = [] for key1 in groupKey: for key2 in groupKey: gPairIndex.append(key1 + '.' + key2) encodings = [] for i in fastas: name, sequence = i[0], re.sub('-', '', i[1]) code = [name] for g in range(gap + 1): gPair = gen_group_pairs(groupKey) sum_var = 0 for p1 in range(len(sequence)): p2 = p1 + g + 1 if p2 < len(sequence) and sequence[p1] in AA and sequence[p2] in AA: gPair[index[sequence[p1]] + '.' + index[sequence[p2]]] = gPair[index[sequence[p1]] + '.' + index[ sequence[p2]]] + 1 sum_var = sum_var + 1 if sum_var == 0: for _ in gPairIndex: code.append(0) else: for gp in gPairIndex: code.append(gPair[gp] / sum_var) encodings.append(code) return encodings def cksaap(fastas, gap=5, **kw): """ Function to generate cksaap encoding for protein sequences :param fastas: :param gap: :param kw: :return: """ if gap < 0: raise AssertionError("Gap should be equal or greater than zero") if min_seq_len(fastas) < gap + 2: raise AssertionError(f"All sequences should have length greater than the (gap value) + 2 = {str(gap + 2)}") AA = kw['order'] if kw['order'] is not None else 'ACDEFGHIKLMNPQRSTVWY' encodings = [] aaPairs = [] for aa1 in AA: for aa2 in AA: aaPairs.append(aa1 + aa2) for i in fastas: name, sequence = i[0], i[1] code = [name] for g in range(gap + 1): myDict = {} for pair in aaPairs: myDict[pair] = 0 sum_var = 0 for index1 in range(len(sequence)): index2 = index1 + g + 1 if index1 < len(sequence) and index2 < len(sequence) and sequence[index1] in AA \ and sequence[index2] in AA: myDict[sequence[index1] + sequence[index2]] = myDict[sequence[index1] + sequence[index2]] + 1 sum_var = sum_var + 1 for pair in aaPairs: code.append(myDict[pair] / sum_var) encodings.append(code) return encodings def count_ctdc(seq1, seq2): """ helper function for ctdc encoding :param seq1: :param seq2: :return: """ sum_var = 0 for aa in seq1: sum_var = sum_var + seq2.count(aa) return sum_var def ctdc(fastas, **kw): """ Function to generate ctdc encoding for protein sequences :param fastas: :param kw: :return: """ group1 = { 'hydrophobicity_PRAM900101': 'RKEDQN', 'hydrophobicity_ARGP820101': 'QSTNGDE', 'hydrophobicity_ZIMJ680101': 'QNGSWTDERA', 'hydrophobicity_PONP930101': 'KPDESNQT', 'hydrophobicity_CASG920101': 'KDEQPSRNTG', 'hydrophobicity_ENGD860101': 'RDKENQHYP', 'hydrophobicity_FASG890101': 'KERSQD', 'normwaalsvolume': 'GASTPDC', 'polarity': 'LIFWCMVY', 'polarizability': 'GASDT', 'charge': 'KR', 'secondarystruct': 'EALMQKRH', 'solventaccess': 'ALFCGIVW' } group2 = { 'hydrophobicity_PRAM900101': 'GASTPHY', 'hydrophobicity_ARGP820101': 'RAHCKMV', 'hydrophobicity_ZIMJ680101': 'HMCKV', 'hydrophobicity_PONP930101': 'GRHA', 'hydrophobicity_CASG920101': 'AHYMLV', 'hydrophobicity_ENGD860101': 'SGTAW', 'hydrophobicity_FASG890101': 'NTPG', 'normwaalsvolume': 'NVEQIL', 'polarity': 'PATGS', 'polarizability': 'CPNVEQIL', 'charge': 'ANCQGHILMFPSTWYV', 'secondarystruct': 'VIYCWFT', 'solventaccess': 'RKQEND' } group3 = { 'hydrophobicity_PRAM900101': 'CLVIMFW', 'hydrophobicity_ARGP820101': 'LYPFIW', 'hydrophobicity_ZIMJ680101': 'LPFYI', 'hydrophobicity_PONP930101': 'YMFWLCVI', 'hydrophobicity_CASG920101': 'FIWC', 'hydrophobicity_ENGD860101': 'CVLIMF', 'hydrophobicity_FASG890101': 'AYHWVMFLIC', 'normwaalsvolume': 'MHKFRYW', 'polarity': 'HQRKNED', 'polarizability': 'KMHFRYW', 'charge': 'DE', 'secondarystruct': 'GNPSD', 'solventaccess': 'MSPTHY' } groups = [group1, group2, group3] property_var = ( 'hydrophobicity_PRAM900101', 'hydrophobicity_ARGP820101', 'hydrophobicity_ZIMJ680101', 'hydrophobicity_PONP930101', 'hydrophobicity_CASG920101', 'hydrophobicity_ENGD860101', 'hydrophobicity_FASG890101', 'normwaalsvolume', 'polarity', 'polarizability', 'charge', 'secondarystruct', 'solventaccess') encodings = [] for i in fastas: name, sequence = i[0], re.sub('-', '', i[1]) code = [name] for p in property_var: c1 = count_ctdc(group1[p], sequence) / len(sequence) c2 = count_ctdc(group2[p], sequence) / len(sequence) c3 = 1 - c1 - c2 code = code + [c1, c2, c3] encodings.append(code) return encodings def count_ctdd(aa_set, sequence): """ helper function for ctdd encoding :param aa_set: :param sequence: :return: """ number = 0 for aa in sequence: if aa in aa_set: number = number + 1 cutoffNums = [1, math.floor(0.25 * number), math.floor(0.50 * number), math.floor(0.75 * number), number] cutoffNums = [i if i >= 1 else 1 for i in cutoffNums] code = [] for cutoff in cutoffNums: myCount = 0 for i in range(len(sequence)): if sequence[i] in aa_set: myCount += 1 if myCount == cutoff: code.append((i + 1) / len(sequence) * 100) break if myCount == 0: code.append(0) return code def ctdd(fastas, **kw): """ Function to generate ctdd encoding for protein sequences :param fastas: :param kw: :return: """ group1 = { 'hydrophobicity_PRAM900101': 'RKEDQN', 'hydrophobicity_ARGP820101': 'QSTNGDE', 'hydrophobicity_ZIMJ680101': 'QNGSWTDERA', 'hydrophobicity_PONP930101': 'KPDESNQT', 'hydrophobicity_CASG920101': 'KDEQPSRNTG', 'hydrophobicity_ENGD860101': 'RDKENQHYP', 'hydrophobicity_FASG890101': 'KERSQD', 'normwaalsvolume': 'GASTPDC', 'polarity': 'LIFWCMVY', 'polarizability': 'GASDT', 'charge': 'KR', 'secondarystruct': 'EALMQKRH', 'solventaccess': 'ALFCGIVW' } group2 = { 'hydrophobicity_PRAM900101': 'GASTPHY', 'hydrophobicity_ARGP820101': 'RAHCKMV', 'hydrophobicity_ZIMJ680101': 'HMCKV', 'hydrophobicity_PONP930101': 'GRHA', 'hydrophobicity_CASG920101': 'AHYMLV', 'hydrophobicity_ENGD860101': 'SGTAW', 'hydrophobicity_FASG890101': 'NTPG', 'normwaalsvolume': 'NVEQIL', 'polarity': 'PATGS', 'polarizability': 'CPNVEQIL', 'charge': 'ANCQGHILMFPSTWYV', 'secondarystruct': 'VIYCWFT', 'solventaccess': 'RKQEND' } group3 = { 'hydrophobicity_PRAM900101': 'CLVIMFW', 'hydrophobicity_ARGP820101': 'LYPFIW', 'hydrophobicity_ZIMJ680101': 'LPFYI', 'hydrophobicity_PONP930101': 'YMFWLCVI', 'hydrophobicity_CASG920101': 'FIWC', 'hydrophobicity_ENGD860101': 'CVLIMF', 'hydrophobicity_FASG890101': 'AYHWVMFLIC', 'normwaalsvolume': 'MHKFRYW', 'polarity': 'HQRKNED', 'polarizability': 'KMHFRYW', 'charge': 'DE', 'secondarystruct': 'GNPSD', 'solventaccess': 'MSPTHY' } property_var = ( 'hydrophobicity_PRAM900101', 'hydrophobicity_ARGP820101', 'hydrophobicity_ZIMJ680101', 'hydrophobicity_PONP930101', 'hydrophobicity_CASG920101', 'hydrophobicity_ENGD860101', 'hydrophobicity_FASG890101', 'normwaalsvolume', 'polarity', 'polarizability', 'charge', 'secondarystruct', 'solventaccess') encodings = [] for i in fastas: name, sequence = i[0], re.sub('-', '', i[1]) code = [name] for p in property_var: code = code + count_ctdd(group1[p], sequence) + \ count_ctdd(group2[p], sequence) + count_ctdd(group3[p], sequence) encodings.append(code) return encodings def ctdt(fastas, **kw): """ Function to generate ctdt encoding for protein sequences :param fastas: :param kw: :return: """ group1 = { 'hydrophobicity_PRAM900101': 'RKEDQN', 'hydrophobicity_ARGP820101': 'QSTNGDE', 'hydrophobicity_ZIMJ680101': 'QNGSWTDERA', 'hydrophobicity_PONP930101': 'KPDESNQT', 'hydrophobicity_CASG920101': 'KDEQPSRNTG', 'hydrophobicity_ENGD860101': 'RDKENQHYP', 'hydrophobicity_FASG890101': 'KERSQD', 'normwaalsvolume': 'GASTPDC', 'polarity': 'LIFWCMVY', 'polarizability': 'GASDT', 'charge': 'KR', 'secondarystruct': 'EALMQKRH', 'solventaccess': 'ALFCGIVW' } group2 = { 'hydrophobicity_PRAM900101': 'GASTPHY', 'hydrophobicity_ARGP820101': 'RAHCKMV', 'hydrophobicity_ZIMJ680101': 'HMCKV', 'hydrophobicity_PONP930101': 'GRHA', 'hydrophobicity_CASG920101': 'AHYMLV', 'hydrophobicity_ENGD860101': 'SGTAW', 'hydrophobicity_FASG890101': 'NTPG', 'normwaalsvolume': 'NVEQIL', 'polarity': 'PATGS', 'polarizability': 'CPNVEQIL', 'charge': 'ANCQGHILMFPSTWYV', 'secondarystruct': 'VIYCWFT', 'solventaccess': 'RKQEND' } group3 = { 'hydrophobicity_PRAM900101': 'CLVIMFW', 'hydrophobicity_ARGP820101': 'LYPFIW', 'hydrophobicity_ZIMJ680101': 'LPFYI', 'hydrophobicity_PONP930101': 'YMFWLCVI', 'hydrophobicity_CASG920101': 'FIWC', 'hydrophobicity_ENGD860101': 'CVLIMF', 'hydrophobicity_FASG890101': 'AYHWVMFLIC', 'normwaalsvolume': 'MHKFRYW', 'polarity': 'HQRKNED', 'polarizability': 'KMHFRYW', 'charge': 'DE', 'secondarystruct': 'GNPSD', 'solventaccess': 'MSPTHY' } property_var = ( 'hydrophobicity_PRAM900101', 'hydrophobicity_ARGP820101', 'hydrophobicity_ZIMJ680101', 'hydrophobicity_PONP930101', 'hydrophobicity_CASG920101', 'hydrophobicity_ENGD860101', 'hydrophobicity_FASG890101', 'normwaalsvolume', 'polarity', 'polarizability', 'charge', 'secondarystruct', 'solventaccess') encodings = [] for i in fastas: name, sequence = i[0], re.sub('-', '', i[1]) code = [name] aaPair = [sequence[j:j + 2] for j in range(len(sequence) - 1)] for p in property_var: c1221, c1331, c2332 = 0, 0, 0 for pair in aaPair: if (pair[0] in group1[p] and pair[1] in group2[p]) or (pair[0] in group2[p] and pair[1] in group1[p]): c1221 = c1221 + 1 continue if (pair[0] in group1[p] and pair[1] in group3[p]) or (pair[0] in group3[p] and pair[1] in group1[p]): c1331 = c1331 + 1 continue if (pair[0] in group2[p] and pair[1] in group3[p]) or (pair[0] in group3[p] and pair[1] in group2[p]): c2332 = c2332 + 1 code = code + [c1221 / len(aaPair), c1331 / len(aaPair), c2332 / len(aaPair)] encodings.append(code) return encodings def calc_ksctriad(sequence, gap, features, aa_dict): """ Helper function for ctraid and ksctraid :param sequence: :param gap: :param features: :param aa_dict: :return: """ res = [] for g in range(gap + 1): myDict = {} for f in features: myDict[f] = 0 for i in range(len(sequence)): if i + gap + 1 < len(sequence) and i + 2 * gap + 2 < len(sequence): fea = aa_dict[sequence[i]] + '.' + aa_dict[sequence[i + gap + 1]] + '.' + aa_dict[ sequence[i + 2 * gap + 2]] myDict[fea] = myDict[fea] + 1 maxValue, minValue = max(myDict.values()), min(myDict.values()) for f in features: res.append((myDict[f] - minValue) / maxValue) return res def ctriad(fastas, **kw): """ Function to generate ctriad encoding for protein sequences :param fastas: :param kw: :return: """ # TODO: Need to check if the gap parameter should be kept or is it only needed for ksctriad AAGroup = { 'g1': 'AGV', 'g2': 'ILFP', 'g3': 'YMTS', 'g4': 'HNQW', 'g5': 'RK', 'g6': 'DE', 'g7': 'C' } myGroups = sorted(AAGroup.keys()) AADict = {} for g in myGroups: for aa in AAGroup[g]: AADict[aa] = g features = [f1 + '.' + f2 + '.' + f3 for f1 in myGroups for f2 in myGroups for f3 in myGroups] encodings = [] for i in fastas: name, sequence = i[0], re.sub('-', '', i[1]) code = [name] if len(sequence) < 3: print('Error: for "CTriad" encoding, the input fasta sequences should be greater than 3. \n\n') return 0 code = code + calc_ksctriad(sequence, 0, features, AADict) encodings.append(code) return encodings def dde(fastas, **kw): """ Function to generate dde encoding for protein sequences :param fastas: :param kw: :return: """ AA = kw['order'] if kw['order'] is not None else 'ACDEFGHIKLMNPQRSTVWY' myCodons = { 'A': 4, 'C': 2, 'D': 2, 'E': 2, 'F': 2, 'G': 4, 'H': 2, 'I': 3, 'K': 2, 'L': 6, 'M': 1, 'N': 2, 'P': 4, 'Q': 2, 'R': 6, 'S': 6, 'T': 4, 'V': 4, 'W': 1, 'Y': 2 } encodings = [] diPeptides = [aa1 + aa2 for aa1 in AA for aa2 in AA] myTM = [] for pair in diPeptides: myTM.append((myCodons[pair[0]] / 61) * (myCodons[pair[1]] / 61)) AADict = {} for i in range(len(AA)): AADict[AA[i]] = i for i in fastas: name, sequence = i[0], re.sub('-', '', i[1]) code = [name] tmpCode = [0] * 400 for j in range(len(sequence) - 2 + 1): tmpCode[AADict[sequence[j]] * 20 + AADict[sequence[j + 1]]] = tmpCode[AADict[sequence[j]] * 20 + AADict[ sequence[j + 1]]] + 1 if sum(tmpCode) != 0: tmpCode = [i / sum(tmpCode) for i in tmpCode] myTV = [] for j in range(len(myTM)): myTV.append(myTM[j] * (1 - myTM[j]) / (len(sequence) - 1)) for j in range(len(tmpCode)): tmpCode[j] = (tmpCode[j] - myTM[j]) / math.sqrt(myTV[j]) code = code + tmpCode encodings.append(code) return encodings def dpc(fastas, **kw): """ Function to generate dpc encoding for protein sequences :param fastas: :param kw: :return: """ AA = kw['order'] if kw['order'] is not None else 'ACDEFGHIKLMNPQRSTVWY' encodings = [] diPeptides = [aa1 + aa2 for aa1 in AA for aa2 in AA] AADict = {} for i in range(len(AA)): AADict[AA[i]] = i for i in fastas: name, sequence = i[0], re.sub('-', '', i[1]) code = [name] tmpCode = [0] * 400 for j in range(len(sequence) - 2 + 1): tmpCode[AADict[sequence[j]] * 20 + AADict[sequence[j + 1]]] = tmpCode[AADict[sequence[j]] * 20 + AADict[ sequence[j + 1]]] + 1 if sum(tmpCode) != 0: tmpCode = [i / sum(tmpCode) for i in tmpCode] code = code + tmpCode encodings.append(code) return encodings def gaac(fastas, **kw): """ Function to generate gaac encoding for protein sequences :param fastas: :param kw: :return: """ group = { 'alphatic': 'GAVLMI', 'aromatic': 'FYW', 'postivecharge': 'KRH', 'negativecharge': 'DE', 'uncharge': 'STCPNQ' } groupKey = group.keys() encodings = [] for i in fastas: name, sequence = i[0], re.sub('-', '', i[1]) code = [name] count = Counter(sequence) myDict = {} for key in groupKey: for aa in group[key]: myDict[key] = myDict.get(key, 0) + count[aa] for key in groupKey: code.append(myDict[key] / len(sequence)) encodings.append(code) return encodings def gdpc(fastas, **kw): """ Function to generate gdpc encoding for protein sequences :param fastas: :param kw: :return: """ group = { 'alphaticr': 'GAVLMI', 'aromatic': 'FYW', 'postivecharger': 'KRH', 'negativecharger': 'DE', 'uncharger': 'STCPNQ' } groupKey = group.keys() dipeptide = [g1 + '.' + g2 for g1 in groupKey for g2 in groupKey] index = {} for key in groupKey: for aa in group[key]: index[aa] = key encodings = [] for i in fastas: name, sequence = i[0], re.sub('-', '', i[1]) code = [name] myDict = {} for t in dipeptide: myDict[t] = 0 sum_var = 0 for j in range(len(sequence) - 2 + 1): myDict[index[sequence[j]] + '.' + index[sequence[j + 1]]] = myDict[index[sequence[j]] + '.' + index[ sequence[j + 1]]] + 1 sum_var = sum_var + 1 if sum_var == 0: for _ in dipeptide: code.append(0) else: for t in dipeptide: code.append(myDict[t] / sum_var) encodings.append(code) return encodings def geary(fastas, props=('CIDH920105', 'BHAR880101', 'CHAM820101', 'CHAM820102', 'CHOC760101', 'BIGC670101', 'CHAM810101', 'DAYM780201'), nlag=30, **kw): """ Function to generate geary encoding for protein sequences :param fastas: :param props: :param nlag: :param kw: :return: """ if min_seq_len_norm_aa(fastas) < nlag + 1: raise AssertionError(f"All sequences should have length greater than nlag+1: {str(nlag + 1)}") AA = 'ARNDCQEGHILKMFPSTWYV' data_dir = os.path.dirname(os.path.realpath(__file__)) data_file = os.path.join(data_dir, 'data', 'AAidx.txt') with open(data_file) as f: records = f.readlines()[1:] myDict = {} for i in records: array = i.rstrip().split('\t') myDict[array[0]] = array[1:] aa_idx = [] aa_idx_name = [] for i in props: if i in myDict: aa_idx.append(myDict[i]) aa_idx_name.append(i) else: print('"' + i + '" properties not exist.') return None aa_idx1 = np.array([float(j) for i in aa_idx for j in i]) aa_idx = aa_idx1.reshape((len(aa_idx), 20)) propMean = np.mean(aa_idx, axis=1) propStd = np.std(aa_idx, axis=1) for i in range(len(aa_idx)): for j in range(len(aa_idx[i])): aa_idx[i][j] = (aa_idx[i][j] - propMean[i]) / propStd[i] index = {} for i in range(len(AA)): index[AA[i]] = i encodings = [] for i in fastas: name, sequence = i[0], re.sub('-', '', i[1]) code = [name] N = len(sequence) for prop in range(len(props)): xmean = sum([aa_idx[prop][index[aa]] for aa in sequence]) / N for n in range(1, nlag + 1): if len(sequence) > nlag: # if key is '-', then the value is 0 rn = (N - 1) / (2 * (N - n)) * ((sum( [(aa_idx[prop][index.get(sequence[j], 0)] - aa_idx[prop][index.get(sequence[j + n], 0)]) ** 2 for j in range(len(sequence) - n)])) / (sum([(aa_idx[prop][index.get(sequence[j], 0)] - xmean) ** 2 for j in range(len(sequence))]))) else: rn = 'NA' code.append(rn) encodings.append(code) return encodings def gtpc(fastas, **kw): """ Function to generate gtpc encoding for protein sequences :param fastas: :param kw: :return: """ group = { 'alphaticr': 'GAVLMI', 'aromatic': 'FYW', 'postivecharger': 'KRH', 'negativecharger': 'DE', 'uncharger': 'STCPNQ' } groupKey = group.keys() triple = [g1 + '.' + g2 + '.' + g3 for g1 in groupKey for g2 in groupKey for g3 in groupKey] index = {} for key in groupKey: for aa in group[key]: index[aa] = key encodings = [] for i in fastas: name, sequence = i[0], re.sub('-', '', i[1]) code = [name] myDict = {} for t in triple: myDict[t] = 0 sum_var = 0 for j in range(len(sequence) - 3 + 1): myDict[index[sequence[j]] + '.' + index[sequence[j + 1]] + '.' + index[sequence[j + 2]]] = \ myDict[index[sequence[j]] + '.' + index[sequence[j + 1]] + '.' + index[sequence[j + 2]]] + 1 sum_var = sum_var + 1 if sum_var == 0: for _ in triple: code.append(0) else: for t in triple: code.append(myDict[t] / sum_var) encodings.append(code) return encodings def ksctriad(fastas, gap=0, **kw): """ Function to generate ksctriad encoding for protein sequences :param fastas: :param gap: :param kw: :return: """ AAGroup = { 'g1': 'AGV', 'g2': 'ILFP', 'g3': 'YMTS', 'g4': 'HNQW', 'g5': 'RK', 'g6': 'DE', 'g7': 'C' } myGroups = sorted(AAGroup.keys()) AADict = {} for g in myGroups: for aa in AAGroup[g]: AADict[aa] = g features = [f1 + '.' + f2 + '.' + f3 for f1 in myGroups for f2 in myGroups for f3 in myGroups] encodings = [] for i in fastas: name, sequence = i[0], re.sub('-', '', i[1]) code = [name] if len(sequence) < 2 * gap + 3: raise AssertionError(f"All sequences should have length greater than (2*gap+3): {str(2*gap+3)}") code = code + calc_ksctriad(sequence, gap, features, AADict) encodings.append(code) return encodings def moran(fastas, props=('CIDH920105', 'BHAR880101', 'CHAM820101', 'CHAM820102', 'CHOC760101', 'BIGC670101', 'CHAM810101', 'DAYM780201'), nlag=30, **kw): if min_seq_len_norm_aa(fastas) < nlag + 1: raise AssertionError(f"All sequences should have length greater than nlag+1: {str(nlag + 1)}") AA = 'ARNDCQEGHILKMFPSTWYV' data_dir = os.path.dirname(os.path.realpath(__file__)) data_file = os.path.join(data_dir, 'data', 'AAidx.txt') with open(data_file) as f: records = f.readlines()[1:] myDict = {} for i in records: array = i.rstrip().split('\t') myDict[array[0]] = array[1:] aa_idx = [] aa_idx_name = [] for i in props: if i in myDict: aa_idx.append(myDict[i]) aa_idx_name.append(i) else: print('"' + i + '" properties not exist.') return None aa_idx1 = np.array([float(j) for i in aa_idx for j in i]) aa_idx = aa_idx1.reshape((len(aa_idx), 20)) propMean = np.mean(aa_idx, axis=1) propStd = np.std(aa_idx, axis=1) for i in range(len(aa_idx)): for j in range(len(aa_idx[i])): aa_idx[i][j] = (aa_idx[i][j] - propMean[i]) / propStd[i] index = {} for i in range(len(AA)): index[AA[i]] = i encodings = [] for i in fastas: name, sequence = i[0], re.sub('-', '', i[1]) code = [name] N = len(sequence) for prop in range(len(props)): xmean = sum([aa_idx[prop][index[aa]] for aa in sequence]) / N for n in range(1, nlag + 1): if len(sequence) > nlag: # if key is '-', then the value is 0 fenzi = sum([(aa_idx[prop][index.get(sequence[j], 0)] - xmean) * ( aa_idx[prop][index.get(sequence[j + n], 0)] - xmean) for j in range(len(sequence) - n)]) / (N - n) fenmu = sum( [(aa_idx[prop][index.get(sequence[j], 0)] - xmean) ** 2 for j in range(len(sequence))]) / N rn = fenzi / fenmu else: rn = 'NA' code.append(rn) encodings.append(code) return encodings def nmbroto(fastas, props=('CIDH920105', 'BHAR880101', 'CHAM820101', 'CHAM820102', 'CHOC760101', 'BIGC670101', 'CHAM810101', 'DAYM780201'), nlag=30, **kw): """ Function to generate nmbroto encoding for protein sequences :param fastas: :param props: :param nlag: :param kw: :return: """ if min_seq_len_norm_aa(fastas) < nlag + 1: raise AssertionError(f"All sequences should have length greater than nlag+1: {str(nlag + 1)}") AA = 'ARNDCQEGHILKMFPSTWYV' data_dir = os.path.dirname(os.path.realpath(__file__)) data_file = os.path.join(data_dir, 'data', 'AAidx.txt') with open(data_file) as f: records = f.readlines()[1:] myDict = {} for i in records: array = i.rstrip().split('\t') myDict[array[0]] = array[1:] aa_idx = [] aa_idx_name = [] for i in props: if i in myDict: aa_idx.append(myDict[i]) aa_idx_name.append(i) else: print('"' + i + '" properties not exist.') return None aa_idx1 = np.array([float(j) for i in aa_idx for j in i]) aa_idx = aa_idx1.reshape((len(aa_idx), 20)) pstd = np.std(aa_idx, axis=1) pmean = np.average(aa_idx, axis=1) for i in range(len(aa_idx)): for j in range(len(aa_idx[i])): aa_idx[i][j] = (aa_idx[i][j] - pmean[i]) / pstd[i] index = {} for i in range(len(AA)): index[AA[i]] = i encodings = [] for i in fastas: name, sequence = i[0], re.sub('-', '', i[1]) code = [name] N = len(sequence) for prop in range(len(props)): for n in range(1, nlag + 1): if len(sequence) > nlag: # if key is '-', then the value is 0 rn = sum( [aa_idx[prop][index.get(sequence[j], 0)] * aa_idx[prop][index.get(sequence[j + n], 0)] for j in range(len(sequence) - n)]) / (N - n) else: rn = 'NA' code.append(rn) encodings.append(code) return encodings def r_value(aa1, aa2, aa_dict, matrix): """ :param aa1: :param aa2: :param aa_dict: :param matrix: :return: """ return sum([(matrix[i][aa_dict[aa1]] - matrix[i][aa_dict[aa2]]) ** 2 for i in range(len(matrix))]) / len(matrix) def paac(fastas, lambda_value=30, w=0.05, **kw): """ Function to generate paac encoding for protein sequences :param fastas: :param lambda_value: :param w: :param kw: :return: """ if min_seq_len_norm_aa(fastas) < lambda_value + 1: raise AssertionError(f'All sequences should have length greater than lambda_value+1: {str(lambda_value + 1)}') data_dir = os.path.dirname(os.path.realpath(__file__)) data_file = os.path.join(data_dir, 'data', 'PAAC.txt') with open(data_file) as f: records = f.readlines() AA = ''.join(records[0].rstrip().split()[1:]) AADict = {} for i in range(len(AA)): AADict[AA[i]] = i AAProperty = [] AAPropertyNames = [] for i in range(1, len(records)): array = records[i].rstrip().split() if records[i].rstrip() != '' else None AAProperty.append([float(j) for j in array[1:]]) AAPropertyNames.append(array[0]) AAProperty1 = [] for i in AAProperty: meanI = sum(i) / 20 fenmu = math.sqrt(sum([(j - meanI) ** 2 for j in i]) / 20) AAProperty1.append([(j - meanI) / fenmu for j in i]) encodings = [] for i in fastas: name, sequence = i[0], re.sub('-', '', i[1]) code = [name] theta = [] for n in range(1, lambda_value + 1): theta.append( sum([r_value(sequence[j], sequence[j + n], AADict, AAProperty1) for j in range(len(sequence) - n)]) / ( len(sequence) - n)) myDict = {} for aa in AA: myDict[aa] = sequence.count(aa) code = code + [myDict[aa] / (1 + w * sum(theta)) for aa in AA] code = code + [(w * j) / (1 + w * sum(theta)) for j in theta] encodings.append(code) return encodings def qsorder(fastas, nlag=30, w=0.1, **kw): """ Function to generate qsorder encoding for protein sequences :param fastas: :param nlag: :param w: :param kw: :return: """ if min_seq_len_norm_aa(fastas) < nlag + 1: raise AssertionError(f'All sequences should have length greater than the nlag+1: {str(nlag + 1)}') data_dir = os.path.dirname(os.path.realpath(__file__)) data_file = os.path.join(data_dir, 'data', 'Schneider-Wrede.txt') data_file1 = os.path.join(data_dir, 'data', 'Grantham.txt') AA = 'ACDEFGHIKLMNPQRSTVWY' AA1 = 'ARNDCQEGHILKMFPSTWYV' DictAA = {} for i in range(len(AA)): DictAA[AA[i]] = i DictAA1 = {} for i in range(len(AA1)): DictAA1[AA1[i]] = i with open(data_file) as f: records = f.readlines()[1:] AADistance = [] for i in records: array = i.rstrip().split()[1:] if i.rstrip() != '' else None AADistance.append(array) AADistance = np.array( [float(AADistance[i][j]) for i in range(len(AADistance)) for j in range(len(AADistance[i]))]).reshape((20, 20)) with open(data_file1) as f: records = f.readlines()[1:] AADistance1 = [] for i in records: array = i.rstrip().split()[1:] if i.rstrip() != '' else None AADistance1.append(array) AADistance1 = np.array( [float(AADistance1[i][j]) for i in range(len(AADistance1)) for j in range(len(AADistance1[i]))]).reshape( (20, 20)) encodings = [] for i in fastas: name, sequence = i[0], re.sub('-', '', i[1]) code = [name] arraySW = [] arrayGM = [] for n in range(1, nlag + 1): arraySW.append( sum([AADistance[DictAA[sequence[j]]][DictAA[sequence[j + n]]] ** 2 for j in range(len(sequence) - n)])) arrayGM.append(sum( [AADistance1[DictAA1[sequence[j]]][DictAA1[sequence[j + n]]] ** 2 for j in range(len(sequence) - n)])) myDict = {} for aa in AA1: myDict[aa] = sequence.count(aa) for aa in AA1: code.append(myDict[aa] / (1 + w * sum(arraySW))) for aa in AA1: code.append(myDict[aa] / (1 + w * sum(arrayGM))) for num in arraySW: code.append((w * num) / (1 + w * sum(arraySW))) for num in arrayGM: code.append((w * num) / (1 + w * sum(arrayGM))) encodings.append(code) return encodings def socnumber(fastas, nlag=30, **kw): """ Function to generate socnumber encoding for protein sequences :param fastas: :param nlag: :param kw: :return: """ if min_seq_len_norm_aa(fastas) < nlag + 1: print('Error: all the sequence length should be larger than the nlag+1: ' + str(nlag + 1) + '\n\n') return 0 data_dir = os.path.dirname(os.path.realpath(__file__)) data_file = os.path.join(data_dir, 'data', 'Schneider-Wrede.txt') data_file1 = os.path.join(data_dir, 'data', 'Grantham.txt') AA = 'ACDEFGHIKLMNPQRSTVWY' AA1 = 'ARNDCQEGHILKMFPSTWYV' DictAA = {} for i in range(len(AA)): DictAA[AA[i]] = i DictAA1 = {} for i in range(len(AA1)): DictAA1[AA1[i]] = i with open(data_file) as f: records = f.readlines()[1:] AADistance = [] for i in records: array = i.rstrip().split()[1:] if i.rstrip() != '' else None AADistance.append(array) AADistance = np.array( [float(AADistance[i][j]) for i in range(len(AADistance)) for j in range(len(AADistance[i]))]).reshape((20, 20)) with open(data_file1) as f: records = f.readlines()[1:] AADistance1 = [] for i in records: array = i.rstrip().split()[1:] if i.rstrip() != '' else None AADistance1.append(array) AADistance1 = np.array( [float(AADistance1[i][j]) for i in range(len(AADistance1)) for j in range(len(AADistance1[i]))]).reshape( (20, 20)) encodings = [] for i in fastas: name, sequence = i[0], re.sub('-', '', i[1]) code = [name] for n in range(1, nlag + 1): code.append(sum( [AADistance[DictAA[sequence[j]]][DictAA[sequence[j + n]]] ** 2 for j in range(len(sequence) - n)]) / ( len(sequence) - n)) for n in range(1, nlag + 1): code.append(sum([AADistance1[DictAA1[sequence[j]]][DictAA1[sequence[j + n]]] ** 2 for j in range(len(sequence) - n)]) / (len(sequence) - n)) encodings.append(code) return encodings def tpc(fastas, **kw): """ Function to generate tpc encoding for protein sequences :param fastas: :param kw: :return: """ AA = kw['order'] if kw['order'] is not None else 'ACDEFGHIKLMNPQRSTVWY' encodings = [] triPeptides = [aa1 + aa2 + aa3 for aa1 in AA for aa2 in AA for aa3 in AA] AADict = {} for i in range(len(AA)): AADict[AA[i]] = i for i in fastas: name, sequence = i[0], re.sub('-', '', i[1]) code = [name] tmpCode = [0] * 8000 for j in range(len(sequence) - 3 + 1): tmpCode[AADict[sequence[j]] * 400 + AADict[sequence[j + 1]] * 20 + AADict[sequence[j + 2]]] = \ tmpCode[AADict[sequence[j]] * 400 + AADict[sequence[j + 1]] * 20 + AADict[sequence[j + 2]]] + 1 if sum(tmpCode) != 0: tmpCode = [i / sum(tmpCode) for i in tmpCode] code = code + tmpCode encodings.append(code) return encodings def get_feature(protein_fasta_file, feature_type, output_dir): """ A function to create numerically encoded feature of a specific type for protein sequences :param protein_fasta_file: The path to a file that contains all the protein sequences in fasta format :param feature_type: The feature encoding type. Must be one of the 21 types mentioned in README :param output_dir: The path to a directory where the feature encoded files will be stored :return: Name of the output file where the features are stored """ if feature_type not in FEAT_TYPES: raise ValueError(f"feature_type must be one of {FEAT_TYPES}") fastas = read_fasta(protein_fasta_file) myOrder = 'ACDEFGHIKLMNPQRSTVWY' kw = {'order': myOrder} myFun = f"{feature_type}(fastas, **kw)" print('Descriptor type: ' + feature_type) encodings = eval(myFun) if os.path.exists(output_dir): if os.path.isdir(output_dir): output_file = os.path.join(output_dir, feature_type+'.csv') save_csv(encodings, output_file) return output_file else: raise OSError(f"output_dir: {output_dir} is not a directory!") else: raise OSError(f"output_dir: {output_dir} does not exist!") pass def get_all_features(fasta_file, output_dir): """ A function to create 21 numerically encoded features for protein sequences :param fasta_file: The path to a file that contains all the protein sequences in fasta format :param output_dir: The path to a directory where the feature encoded files will be stored :return: None """ for ft in FEAT_TYPES: get_feature(fasta_file, ft, output_dir) return

31.144747

121

0.551052

5,124

42,388

4.486924

0.085285

0.009134

0.017224

0.01244

0.779522

0.747684

0.72972

0.70558

0.679701

0.662042

0

0.043997

0.309899

42,388

1,360

122

31.167647

0.741966

0.102741

0

0.708686

0

0.004237

0.168476

0.057802

0

0.000735

0.011653

1

0.033898

false

0.001059

0.007415

0

0.080508

0.006356

0

null

0

1

0

1

0

1

0

null

0

5

4f313fd561713bd5d9466cda6f47f2b2066069bf

45

py

Python

test/testpack/anotherpack/anothermod.py

optimistiCli/ishwest_py3_toolbox

9181f8c874c90e42fb5c84128d1e74320f17bae9

[ "MIT" ]

null

test/testpack/anotherpack/anothermod.py

optimistiCli/ishwest_py3_toolbox

9181f8c874c90e42fb5c84128d1e74320f17bae9

[ "MIT" ]

null

test/testpack/anotherpack/anothermod.py

optimistiCli/ishwest_py3_toolbox

9181f8c874c90e42fb5c84128d1e74320f17bae9

[ "MIT" ]

null

#!/usr/bin/env python3 class Oma(): pass

11.25

22

0.622222

7

45

4

1

0

0.027778

0.2

45

4

23

11.25

0.75

0.466667

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

4f6d0afb8a268374e3b1c5ba07a513f210657007

129

py

Python

venv/lib/python3.8/site-packages/crispy_forms/templates/bootstrap/layout/tab-link.html.py

Solurix/Flashcards-Django

03c863f6722936093927785a2b20b6b668bb743d

[ "MIT" ]

1

2021-05-16T03:20:23.000Z

venv/lib/python3.8/site-packages/crispy_forms/templates/bootstrap3/layout/tab-link.html.py

Solurix/Flashcards-Django

03c863f6722936093927785a2b20b6b668bb743d

[ "MIT" ]

4

2021-03-30T14:06:09.000Z

2021-09-22T19:26:31.000Z

venv/lib/python3.8/site-packages/crispy_forms/templates/bootstrap3/layout/tab-link.html.py

Solurix/Flashcards-Django

03c863f6722936093927785a2b20b6b668bb743d

[ "MIT" ]

null

XXX XXXXXXXXXXXXXXXBB BBBBBBBB BB BBBBBBBBBBBBBB XXXXXXBBBBBXXXX XXXXXXXX XXXXXXXXXXXXXXXXXXFFFFFFFFBB BBBBBBBBBBXBBBBBXXXXXXXXX

64.5

128

0.930233

9

129

13.333333

1

0

0.069767

129

1

129

1

0

null

0

null

0

1

0

1

null

0

1

0

1

0

null

0

1

0

5

4f73d9ce60115378d13700603c019f7ad6179b81

208

py

Python

noheavenbot/utils/database_tables/__init__.py

Molanito13/noheaven-bot

ad126d4601321ecabff9d1d214ce7d3f4e258c3e

[ "MIT" ]

3

2018-10-13T14:05:24.000Z

2018-12-25T21:40:21.000Z

noheavenbot/utils/database_tables/__init__.py

Molanito13/noheaven-bot

ad126d4601321ecabff9d1d214ce7d3f4e258c3e

[ "MIT" ]

2

2018-10-08T14:33:39.000Z

2020-03-02T18:00:47.000Z

noheavenbot/utils/database_tables/__init__.py

Molanito13/noheaven-bot

ad126d4601321ecabff9d1d214ce7d3f4e258c3e

[ "MIT" ]

5

2018-10-08T14:18:58.000Z

2020-11-01T17:55:51.000Z

from .table_garch import Garch from .table_todo import Todo from .table_channels_name import TextChannels from .table_trusted_bots import TrustedBot __all__ = ['Garch', 'Todo', 'TextChannels', 'TrustedBot']

29.714286

57

0.802885

27

208

5.814815

0.444444

0.229299

0

0.110577

208

6

58

34.666667

0.848649

0

0.149038

0

1

0

false

0

0.8

0

0.8

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5