xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

b4472fffb0805fade209d63e9ffe90d86f795e55

96

py

Python

venv/lib/python3.8/site-packages/cryptography/fernet.py

GiulianaPola/select_repeats

17a0d053d4f874e42cf654dd142168c2ec8fbd11

[ "MIT" ]

1

2021-11-07T22:40:27.000Z

venv/lib/python3.8/site-packages/cryptography/fernet.py

GiulianaPola/select_repeats

17a0d053d4f874e42cf654dd142168c2ec8fbd11

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/cryptography/fernet.py

GiulianaPola/select_repeats

17a0d053d4f874e42cf654dd142168c2ec8fbd11

[ "MIT" ]

null

/home/runner/.cache/pip/pool/06/b9/b6/a30bd51e0abbdcdf0a8263f028f12df6b045cefa060f838c6fda9e9be6

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b44cf2bcff384263ac373538642820ffb9d6ed1b

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py

Python

PhythonExercicios/ex030.py

Luis-Otavio-Araujo/Curso-de-Python

1283b26ee7057d61043cfbab53841bac5e1d4487

[ "MIT" ]

1

2021-07-31T18:57:46.000Z

PhythonExercicios/ex030.py

Luis-Otavio-Araujo/Curso-de-Python

1283b26ee7057d61043cfbab53841bac5e1d4487

[ "MIT" ]

null

PhythonExercicios/ex030.py

Luis-Otavio-Araujo/Curso-de-Python

1283b26ee7057d61043cfbab53841bac5e1d4487

[ "MIT" ]

null

num = int(input('Escreva um número: ')) if num % 2 == 0: print('Esse número é PAR!') else: print('Esse número é ÍMPAR!')

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py

Python

python_package_template/python_package_template.py

wmarquardt/python-package-template

6de4b032a6ea2337f98e2f25b1d82fb00c81d9b8

[ "MIT" ]

1

2022-02-03T18:39:21.000Z

python_package_template/python_package_template.py

wmarquardt/python-package-template

6de4b032a6ea2337f98e2f25b1d82fb00c81d9b8

[ "MIT" ]

null

python_package_template/python_package_template.py

wmarquardt/python-package-template

6de4b032a6ea2337f98e2f25b1d82fb00c81d9b8

[ "MIT" ]

null

class PythonPackageTemplate(object): def __unicode__(self): return "just a template" @staticmethod def ping(): return "pong"

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b46b171c73410252f7b50b78c9236de9c926a5d5

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py

Python

version.py

irivers29/robo-gym-server-modules

bdbdd54b8e404a09eb516a66512646627b25eaef

[ "MIT" ]

null

version.py

irivers29/robo-gym-server-modules

bdbdd54b8e404a09eb516a66512646627b25eaef

[ "MIT" ]

null

version.py

irivers29/robo-gym-server-modules

bdbdd54b8e404a09eb516a66512646627b25eaef

[ "MIT" ]

null

VERSION = '0.2.7.9'

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81ead00264776e455e1a413dae33d34857545d4a

119

py

Python

widgets/__init__.py

TusharAMD/astar

df3911b6f7ce765dc9964ce8feaf26d3195fe8fc

[ "Apache-2.0" ]

14

2020-01-13T13:20:43.000Z

2020-04-16T00:03:59.000Z

widgets/__init__.py

TusharAMD/astar

df3911b6f7ce765dc9964ce8feaf26d3195fe8fc

[ "Apache-2.0" ]

1

2020-08-06T03:17:30.000Z

widgets/__init__.py

mHaisham/sortvis

91d56acbdd575c129fc88e5ae54aaf5caae55eb0

[ "Apache-2.0" ]

1

2020-01-13T14:02:44.000Z

from .button import Button from .manager import WidgetManager from .text import Text from .widget import Widget, Hover

23.8

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c3041515434b88c11c1b309920c039ebcc9bb08a

210

py

Python

dupa1.py

iherduleikgemz/repo

ed7ef01bf2ac317b44667363d1c1c767e40e4a6d

[ "MIT" ]

null

dupa1.py

iherduleikgemz/repo

ed7ef01bf2ac317b44667363d1c1c767e40e4a6d

[ "MIT" ]

null

dupa1.py

iherduleikgemz/repo

ed7ef01bf2ac317b44667363d1c1c767e40e4a6d

[ "MIT" ]

null

try: liczba1 = int (input()) except: print("zjebales") try: liczba2 = int (input()) except: print("zjebales") try: print (f"Twoja liczba to: {liczba1+liczba2}") except: print("zjebales")

17.5

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5

c341663b524b06cff9a916bc6913789436170b95

92

py

Python

beginner/1095.py

JoaoMisutaniAlves/URI_problems

18bdbec5f3c3e315c035fc0d89c41722098e3f79

[ "MIT" ]

null

beginner/1095.py

JoaoMisutaniAlves/URI_problems

18bdbec5f3c3e315c035fc0d89c41722098e3f79

[ "MIT" ]

null

beginner/1095.py

JoaoMisutaniAlves/URI_problems

18bdbec5f3c3e315c035fc0d89c41722098e3f79

[ "MIT" ]

null

# -*- coding: utf-8 -*- i=1 j=60 while j>-1: print("I=%i J=%i"%(i,j)) i+=3 j-=5

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null

0

5

c34f9b630c4c2b24f2ef8f5a196f277822135385

645

py

Python

terrascript/data/hashicorp/hcs.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

507

2017-07-26T02:58:38.000Z

2022-01-21T12:35:13.000Z

terrascript/data/hashicorp/hcs.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

135

2017-07-20T12:01:59.000Z

2021-10-04T22:25:40.000Z

terrascript/data/hashicorp/hcs.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

81

2018-02-20T17:55:28.000Z

2022-01-31T07:08:40.000Z

# terrascript/data/hashicorp/hcs.py # Automatically generated by tools/makecode.py (24-Sep-2021 15:18:13 UTC) import terrascript class hcs_agent_helm_config(terrascript.Data): pass class hcs_agent_kubernetes_secret(terrascript.Data): pass class hcs_cluster(terrascript.Data): pass class hcs_consul_versions(terrascript.Data): pass class hcs_federation_token(terrascript.Data): pass class hcs_plan_defaults(terrascript.Data): pass __all__ = [ "hcs_agent_helm_config", "hcs_agent_kubernetes_secret", "hcs_cluster", "hcs_consul_versions", "hcs_federation_token", "hcs_plan_defaults", ]

16.973684

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37

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1

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null

0

1

0

5

c355cd3d4539fca0f906dc53f6388763b3da9008

2,036

py

Python

wrappers/python/tests/crypto/test_auth_crypt.py

zhigunenko-dsr/indy-sdk

25b7635b656344675b8ba6bf43f4a8a97875698d

[ "Apache-2.0" ]

null

wrappers/python/tests/crypto/test_auth_crypt.py

zhigunenko-dsr/indy-sdk

25b7635b656344675b8ba6bf43f4a8a97875698d

[ "Apache-2.0" ]

null

wrappers/python/tests/crypto/test_auth_crypt.py

zhigunenko-dsr/indy-sdk

25b7635b656344675b8ba6bf43f4a8a97875698d

[ "Apache-2.0" ]

1

2020-01-28T01:37:42.000Z

import json from indy import IndyError from indy import crypto, did import pytest from indy.error import ErrorCode @pytest.mark.asyncio async def test_auth_crypt_works_for_created_key(wallet_handle, seed_my1, verkey_my2, message): verkey = await did.create_key(wallet_handle, json.dumps({'seed': seed_my1})) await crypto.auth_crypt(wallet_handle, verkey, verkey_my2, message) @pytest.mark.asyncio async def test_auth_crypt_works_for_created_did(wallet_handle, seed_my1, verkey_my2, message): (_, verkey) = await did.create_and_store_my_did(wallet_handle, json.dumps({'seed': seed_my1})) await crypto.auth_crypt(wallet_handle, verkey, verkey_my2, message) @pytest.mark.asyncio async def test_auth_crypt_works_for_created_did_as_cid(wallet_handle, seed_my1, verkey_my2, message): (_, verkey) = await did.create_and_store_my_did(wallet_handle, json.dumps({'seed': seed_my1, 'cid': True})) await crypto.auth_crypt(wallet_handle, verkey, verkey_my2, message) @pytest.mark.asyncio async def test_auth_crypt_works_for_unknown_sender_verkey(wallet_handle, verkey_my1, verkey_my2, message): with pytest.raises(IndyError) as e: await crypto.auth_crypt(wallet_handle, verkey_my1, verkey_my2, message) assert ErrorCode.WalletNotFoundError == e.value.error_code @pytest.mark.asyncio async def test_auth_crypt_works_for_invalid_handle(wallet_handle, verkey_my1, verkey_my2, message): with pytest.raises(IndyError) as e: invalid_wallet_handle = wallet_handle + 1 await crypto.auth_crypt(invalid_wallet_handle, verkey_my1, verkey_my2, message) assert ErrorCode.WalletInvalidHandle == e.value.error_code @pytest.mark.asyncio async def test_auth_crypt_works_for_invalid_recipient_vk(wallet_handle, identity_trustee1, message): (_, key) = identity_trustee1 with pytest.raises(IndyError) as e: await crypto.auth_crypt(wallet_handle, key, 'CnEDk___MnmiHXEV1WFgbV___eYnPqs___TdcZaNhFVW', message) assert ErrorCode.CommonInvalidStructure == e.value.error_code

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5

c359bbc8de215efe40229765c655499a880c030c

586

py

Python

test/splitgraph/ingestion/test_inference.py

Trase/splitgraph

ef8332b29640230f4eebcbb350a37c67285064b1

[ "Apache-2.0" ]

1

2020-06-24T23:42:11.000Z

test/splitgraph/ingestion/test_inference.py

Trase/splitgraph

ef8332b29640230f4eebcbb350a37c67285064b1

[ "Apache-2.0" ]

2

2022-01-25T00:42:49.000Z

2022-01-25T01:49:18.000Z

test/splitgraph/ingestion/test_inference.py

Trase/splitgraph

ef8332b29640230f4eebcbb350a37c67285064b1

[ "Apache-2.0" ]

null

from splitgraph.ingestion.inference import _infer_column_schema def test_inference(): assert _infer_column_schema(["1", "2", "3"]) == "integer" assert _infer_column_schema(["1.1", "2.4", "3"]) == "numeric" assert _infer_column_schema(["true", "TRUE", "f"]) == "boolean" assert _infer_column_schema(['{"a": 42}']) == "json" assert _infer_column_schema(["1", "", "", "4"]) == "integer" assert ( _infer_column_schema(["2020-01-01 12:34:56", "2020-01-02 00:00:00.123", ""]) == "timestamp" ) assert _infer_column_schema([""]) == "character varying"

41.857143

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6f05924239385e4fe2456f4af3f3c410a9ecf9b7

394

py

Python

inithub/manager/views.py

richtermondt/inithub-web

cf744af7473c59efa5867828b245cdd336825558

[ "MIT" ]

null

inithub/manager/views.py

richtermondt/inithub-web

cf744af7473c59efa5867828b245cdd336825558

[ "MIT" ]

11

2015-01-25T02:14:17.000Z

2015-03-05T13:05:45.000Z

inithub/manager/views.py

richtermondt/inithub-web

cf744af7473c59efa5867828b245cdd336825558

[ "MIT" ]

null

''' @author: rtermondt ''' from django.http import HttpResponse, HttpResponseRedirect def about(request): return HttpResponse("Hello, world. You're at the innohub index.") def index(request): return HttpResponse("Hello, world. You're at the innohub index.") def isSessionValid(request): ret = False if 'profile_id' in request.session: ret = True return ret

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5

6f18de70cfddc7242f18bb3c940dc472af05934e

51

py

Python

lib/servers/oscilloscopes/__init__.py

clayton-ho/EGGs_Control

312f02488b47cf880c6e6600ce10856a871123df

[ "MIT" ]

null

lib/servers/oscilloscopes/__init__.py

clayton-ho/EGGs_Control

312f02488b47cf880c6e6600ce10856a871123df

[ "MIT" ]

null

lib/servers/oscilloscopes/__init__.py

clayton-ho/EGGs_Control

312f02488b47cf880c6e6600ce10856a871123df

[ "MIT" ]

null

from .oscilloscope_server import OscilloscopeServer

51

0.921569

5

51

9.2

1

0

0.058824

51

1

51

0.958333

0

1

0

true

0

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null

0

1

0

1

0

1

0

5

6f488170b9bfe692f11e0af7fc657517d5e92247

141

py

Python

django_roles_access/apps.py

django-roles-access/master

066d0d6b99b986eacc736e6973b415cbb9172d46

[ "MIT" ]

5

2019-03-22T08:08:25.000Z

2019-04-11T11:46:52.000Z

django_roles_access/apps.py

django-roles-access/master

066d0d6b99b986eacc736e6973b415cbb9172d46

[ "MIT" ]

5

2019-04-03T21:53:52.000Z

2019-05-22T22:41:34.000Z

django_roles_access/apps.py

django-roles-access/master

066d0d6b99b986eacc736e6973b415cbb9172d46

[ "MIT" ]

null

from django.apps import AppConfig class RolesConfig(AppConfig): name = 'django_roles_access' verbose_name = u'Django Roles Access'

20.142857

41

0.758865

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141

5.777778

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0.211538

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null

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1

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5

6f4992019e703cbe1a0d86c6ef3495824b4b1748

34,353

py

Python

Wrappers/Python/test/test_algorithms.py

KrisThielemans/CCPi-Framework

fed2e86a65fa67aa89d0a690438bf76f4828266e

[ "Apache-2.0" ]

null

Wrappers/Python/test/test_algorithms.py

KrisThielemans/CCPi-Framework

fed2e86a65fa67aa89d0a690438bf76f4828266e

[ "Apache-2.0" ]

null

Wrappers/Python/test/test_algorithms.py

KrisThielemans/CCPi-Framework

fed2e86a65fa67aa89d0a690438bf76f4828266e

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # CCP in Tomographic Imaging (CCPi) Core Imaging Library (CIL). # Copyright 2017 UKRI-STFC # Copyright 2017 University of Manchester # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from __future__ import division import unittest import numpy import numpy as np from ccpi.framework import DataContainer from ccpi.framework import ImageData from ccpi.framework import AcquisitionData from ccpi.framework import ImageGeometry from ccpi.framework import AcquisitionGeometry from ccpi.optimisation.operators import Identity from ccpi.optimisation.functions import LeastSquares, ZeroFunction, \ L2NormSquared, FunctionOperatorComposition from ccpi.optimisation.algorithms import GradientDescent from ccpi.optimisation.algorithms import CGLS from ccpi.optimisation.algorithms import SIRT from ccpi.optimisation.algorithms import FISTA from ccpi.optimisation.algorithms import PDHG from ccpi.optimisation.operators import Gradient, BlockOperator, FiniteDiff from ccpi.optimisation.functions import MixedL21Norm, BlockFunction, L1Norm, KullbackLeibler from ccpi.framework import TestData import os ,sys try: from ccpi.astra.operators import AstraProjectorSimple astra_not_available = False except ImportError as ie: # skip test astra_not_available = True class TestAlgorithms(unittest.TestCase): def setUp(self): #wget.download('https://github.com/DiamondLightSource/Savu/raw/master/test_data/data/24737_fd.nxs') #self.filename = '24737_fd.nxs' # we use Identity as the operator and solve the simple least squares # problem for a random-valued ImageData or AcquisitionData b? # Then we know the minimiser is b itself # || I x -b ||^2 # create an ImageGeometry ig = ImageGeometry(12,13,14) pass def tearDown(self): #os.remove(self.filename) pass def test_GradientDescent(self): print ("Test GradientDescent") ig = ImageGeometry(12,13,14) x_init = ig.allocate() # b = x_init.copy() # fill with random numbers # b.fill(numpy.random.random(x_init.shape)) b = ig.allocate('random') identity = Identity(ig) norm2sq = LeastSquares(identity, b) rate = norm2sq.L / 3. alg = GradientDescent(x_init=x_init, objective_function=norm2sq, rate=rate, atol=1e-9, rtol=1e-6) alg.max_iteration = 1000 alg.run() self.assertNumpyArrayAlmostEqual(alg.x.as_array(), b.as_array()) alg = GradientDescent(x_init=x_init, objective_function=norm2sq, rate=rate, max_iteration=20, update_objective_interval=2, atol=1e-9, rtol=1e-6) alg.max_iteration = 20 self.assertTrue(alg.max_iteration == 20) self.assertTrue(alg.update_objective_interval==2) alg.run(20, verbose=True) self.assertNumpyArrayAlmostEqual(alg.x.as_array(), b.as_array()) def test_GradientDescentArmijo(self): print ("Test GradientDescent") ig = ImageGeometry(12,13,14) x_init = ig.allocate() # b = x_init.copy() # fill with random numbers # b.fill(numpy.random.random(x_init.shape)) b = ig.allocate('random') identity = Identity(ig) norm2sq = LeastSquares(identity, b) rate = None alg = GradientDescent(x_init=x_init, objective_function=norm2sq, rate=rate) alg.max_iteration = 100 alg.run() self.assertNumpyArrayAlmostEqual(alg.x.as_array(), b.as_array()) alg = GradientDescent(x_init=x_init, objective_function=norm2sq, max_iteration=20, update_objective_interval=2) #alg.max_iteration = 20 self.assertTrue(alg.max_iteration == 20) self.assertTrue(alg.update_objective_interval==2) alg.run(20, verbose=True) self.assertNumpyArrayAlmostEqual(alg.x.as_array(), b.as_array()) def test_GradientDescentArmijo2(self): from ccpi.optimisation.functions import Rosenbrock from ccpi.framework import VectorData, VectorGeometry f = Rosenbrock (alpha = 1., beta=100.) vg = VectorGeometry(2) x = vg.allocate('random_int', seed=2) # x = vg.allocate('random', seed=1) x.fill(numpy.asarray([10.,-3.])) max_iter = 1000000 update_interval = 100000 alg = GradientDescent(x, f, max_iteration=max_iter, update_objective_interval=update_interval, alpha=1e6) alg.run() print (alg.get_output().as_array(), alg.step_size, alg.kmax, alg.k) numpy.testing.assert_array_almost_equal(alg.get_output().as_array(), [1,1], decimal = 1) numpy.testing.assert_array_almost_equal(alg.get_output().as_array(), [0.982744, 0.965725], decimal = 6) def test_CGLS(self): print ("Test CGLS") #ig = ImageGeometry(124,153,154) ig = ImageGeometry(10,2) numpy.random.seed(2) x_init = ig.allocate(0.) b = ig.allocate('random') # b = x_init.copy() # fill with random numbers # b.fill(numpy.random.random(x_init.shape)) # b = ig.allocate() # bdata = numpy.reshape(numpy.asarray([i for i in range(20)]), (2,10)) # b.fill(bdata) identity = Identity(ig) alg = CGLS(x_init=x_init, operator=identity, data=b) alg.max_iteration = 200 alg.run(20, verbose=True) self.assertNumpyArrayAlmostEqual(alg.x.as_array(), b.as_array()) alg = CGLS(x_init=x_init, operator=identity, data=b, max_iteration=200, update_objective_interval=2) self.assertTrue(alg.max_iteration == 200) self.assertTrue(alg.update_objective_interval==2) alg.run(20, verbose=True) self.assertNumpyArrayAlmostEqual(alg.x.as_array(), b.as_array()) def test_FISTA(self): print ("Test FISTA") ig = ImageGeometry(127,139,149) x_init = ig.allocate() b = x_init.copy() # fill with random numbers b.fill(numpy.random.random(x_init.shape)) x_init = ig.allocate(ImageGeometry.RANDOM) identity = Identity(ig) #### it seems FISTA does not work with Nowm2Sq # norm2sq = Norm2Sq(identity, b) # norm2sq.L = 2 * norm2sq.c * identity.norm()**2 norm2sq = FunctionOperatorComposition(L2NormSquared(b=b), identity) opt = {'tol': 1e-4, 'memopt':False} print ("initial objective", norm2sq(x_init)) alg = FISTA(x_init=x_init, f=norm2sq, g=ZeroFunction()) alg.max_iteration = 2 alg.run(20, verbose=True) self.assertNumpyArrayAlmostEqual(alg.x.as_array(), b.as_array()) alg = FISTA(x_init=x_init, f=norm2sq, g=ZeroFunction(), max_iteration=2, update_objective_interval=2) self.assertTrue(alg.max_iteration == 2) self.assertTrue(alg.update_objective_interval==2) alg.run(20, verbose=True) self.assertNumpyArrayAlmostEqual(alg.x.as_array(), b.as_array()) def test_FISTA_Norm2Sq(self): print ("Test FISTA Norm2Sq") ig = ImageGeometry(127,139,149) b = ig.allocate(ImageGeometry.RANDOM) # fill with random numbers x_init = ig.allocate(ImageGeometry.RANDOM) identity = Identity(ig) #### it seems FISTA does not work with Nowm2Sq norm2sq = LeastSquares(identity, b) #norm2sq.L = 2 * norm2sq.c * identity.norm()**2 #norm2sq = FunctionOperatorComposition(L2NormSquared(b=b), identity) opt = {'tol': 1e-4, 'memopt':False} print ("initial objective", norm2sq(x_init)) alg = FISTA(x_init=x_init, f=norm2sq, g=ZeroFunction()) alg.max_iteration = 2 alg.run(20, verbose=True) self.assertNumpyArrayAlmostEqual(alg.x.as_array(), b.as_array()) alg = FISTA(x_init=x_init, f=norm2sq, g=ZeroFunction(), max_iteration=2, update_objective_interval=3) self.assertTrue(alg.max_iteration == 2) self.assertTrue(alg.update_objective_interval== 3) alg.run(20, verbose=True) self.assertNumpyArrayAlmostEqual(alg.x.as_array(), b.as_array()) def test_FISTA_catch_Lipschitz(self): print ("Test FISTA catch Lipschitz") ig = ImageGeometry(127,139,149) x_init = ImageData(geometry=ig) x_init = ig.allocate() b = x_init.copy() # fill with random numbers b.fill(numpy.random.random(x_init.shape)) x_init = ig.allocate(ImageGeometry.RANDOM) identity = Identity(ig) #### it seems FISTA does not work with Nowm2Sq norm2sq = LeastSquares(identity, b) print ('Lipschitz', norm2sq.L) # norm2sq.L = None #norm2sq.L = 2 * norm2sq.c * identity.norm()**2 #norm2sq = FunctionOperatorComposition(L2NormSquared(b=b), identity) opt = {'tol': 1e-4, 'memopt':False} print ("initial objective", norm2sq(x_init)) try: alg = FISTA(x_init=x_init, f=L1Norm(), g=ZeroFunction()) self.assertTrue(False) except ValueError as ve: print (ve) self.assertTrue(True) def test_PDHG_Denoising(self): print ("PDHG Denoising with 3 noises") # adapted from demo PDHG_TV_Color_Denoising.py in CIL-Demos repository # loader = TestData(data_dir=os.path.join(os.environ['SIRF_INSTALL_PATH'], 'share','ccpi')) # loader = TestData(data_dir=os.path.join(sys.prefix, 'share','ccpi')) loader = TestData() data = loader.load(TestData.PEPPERS, size=(256,256)) ig = data.geometry ag = ig which_noise = 0 # Create noisy data. noises = ['gaussian', 'poisson', 's&p'] noise = noises[which_noise] def setup(data, noise): if noise == 's&p': n1 = TestData.random_noise(data.as_array(), mode = noise, salt_vs_pepper = 0.9, amount=0.2, seed=10) elif noise == 'poisson': scale = 5 n1 = TestData.random_noise( data.as_array()/scale, mode = noise, seed = 10)*scale elif noise == 'gaussian': n1 = TestData.random_noise(data.as_array(), mode = noise, seed = 10) else: raise ValueError('Unsupported Noise ', noise) noisy_data = ig.allocate() noisy_data.fill(n1) # Regularisation Parameter depending on the noise distribution if noise == 's&p': alpha = 0.8 elif noise == 'poisson': alpha = 1 elif noise == 'gaussian': alpha = .3 # fidelity if noise == 's&p': g = L1Norm(b=noisy_data) elif noise == 'poisson': g = KullbackLeibler(b=noisy_data) elif noise == 'gaussian': g = 0.5 * L2NormSquared(b=noisy_data) return noisy_data, alpha, g noisy_data, alpha, g = setup(data, noise) operator = Gradient(ig, correlation=Gradient.CORRELATION_SPACE) f1 = alpha * MixedL21Norm() # Compute operator Norm normK = operator.norm() # Primal & dual stepsizes sigma = 1 tau = 1/(sigma*normK**2) # Setup and run the PDHG algorithm pdhg1 = PDHG(f=f1,g=g,operator=operator, tau=tau, sigma=sigma) pdhg1.max_iteration = 2000 pdhg1.update_objective_interval = 200 pdhg1.run(1000, very_verbose=True) rmse = (pdhg1.get_output() - data).norm() / data.as_array().size print ("RMSE", rmse) self.assertLess(rmse, 2e-4) which_noise = 1 noise = noises[which_noise] noisy_data, alpha, g = setup(data, noise) operator = Gradient(ig, correlation=Gradient.CORRELATION_SPACE) f1 = alpha * MixedL21Norm() # Compute operator Norm normK = operator.norm() # Primal & dual stepsizes sigma = 1 tau = 1/(sigma*normK**2) # Setup and run the PDHG algorithm pdhg1 = PDHG(f=f1,g=g,operator=operator, tau=tau, sigma=sigma, max_iteration=2000, update_objective_interval=200) pdhg1.run(1000) rmse = (pdhg1.get_output() - data).norm() / data.as_array().size print ("RMSE", rmse) self.assertLess(rmse, 2e-4) which_noise = 2 noise = noises[which_noise] noisy_data, alpha, g = setup(data, noise) operator = Gradient(ig, correlation=Gradient.CORRELATION_SPACE) f1 = alpha * MixedL21Norm() # Compute operator Norm normK = operator.norm() # Primal & dual stepsizes sigma = 1 tau = 1/(sigma*normK**2) # Setup and run the PDHG algorithm pdhg1 = PDHG(f=f1,g=g,operator=operator, tau=tau, sigma=sigma) pdhg1.max_iteration = 2000 pdhg1.update_objective_interval = 200 pdhg1.run(1000) rmse = (pdhg1.get_output() - data).norm() / data.as_array().size print ("RMSE", rmse) self.assertLess(rmse, 2e-4) def test_FISTA_Denoising(self): print ("FISTA Denoising Poisson Noise Tikhonov") # adapted from demo FISTA_Tikhonov_Poisson_Denoising.py in CIL-Demos repository #loader = TestData(data_dir=os.path.join(sys.prefix, 'share','ccpi')) loader = TestData() data = loader.load(TestData.SHAPES) ig = data.geometry ag = ig N=300 # Create Noisy data with Poisson noise scale = 5 n1 = TestData.random_noise( data.as_array()/scale, mode = 'poisson', seed = 10)*scale noisy_data = ImageData(n1) # Regularisation Parameter alpha = 10 # Setup and run the FISTA algorithm operator = Gradient(ig) fid = KullbackLeibler(b=noisy_data) reg = FunctionOperatorComposition(alpha * L2NormSquared(), operator) x_init = ig.allocate() fista = FISTA(x_init=x_init , f=reg, g=fid) fista.max_iteration = 3000 fista.update_objective_interval = 500 fista.run(verbose=True) rmse = (fista.get_output() - data).norm() / data.as_array().size print ("RMSE", rmse) self.assertLess(rmse, 4.2e-4) def assertNumpyArrayEqual(self, first, second): res = True try: numpy.testing.assert_array_equal(first, second) except AssertionError as err: res = False print(err) self.assertTrue(res) def assertNumpyArrayAlmostEqual(self, first, second, decimal=6): res = True try: numpy.testing.assert_array_almost_equal(first, second, decimal) except AssertionError as err: res = False print(err) self.assertTrue(res) class TestSIRT(unittest.TestCase): def test_SIRT(self): print ("Test CGLS") #ig = ImageGeometry(124,153,154) ig = ImageGeometry(10,2) numpy.random.seed(2) x_init = ig.allocate(0.) b = ig.allocate('random') # b = x_init.copy() # fill with random numbers # b.fill(numpy.random.random(x_init.shape)) # b = ig.allocate() # bdata = numpy.reshape(numpy.asarray([i for i in range(20)]), (2,10)) # b.fill(bdata) identity = Identity(ig) alg = SIRT(x_init=x_init, operator=identity, data=b) alg.max_iteration = 200 alg.run(20, verbose=True) np.testing.assert_array_almost_equal(alg.x.as_array(), b.as_array()) alg2 = SIRT(x_init=x_init, operator=identity, data=b, upper=0.3) alg2.max_iteration = 200 alg2.run(20, verbose=True) # equal try: numpy.testing.assert_equal(alg2.get_output().max(), 0.3) print ("Equal OK, returning") return except AssertionError as ae: print ("Not equal, trying almost equal") # almost equal to 7 digits or less try: numpy.testing.assert_almost_equal(alg2.get_output().max(), 0.3) print ("Almost Equal OK, returning") return except AssertionError as ae: print ("Not almost equal, trying less") numpy.testing.assert_array_less(alg2.get_output().max(), 0.3) # self.assertLessEqual(alg2.get_output().max(), 0.3) # maybe we could add a test to compare alg.get_output() when < upper bound is # the same as alg2.get_output() and otherwise 0.3 class TestSPDHG(unittest.TestCase): @unittest.skipIf(astra_not_available, "ccpi-astra not available") def test_SPDHG_vs_PDHG_implicit(self): from ccpi.astra.operators import AstraProjectorSimple from ccpi.framework import BlockDataContainer, AcquisitionData, AcquisitionGeometry, ImageData, ImageGeometry from ccpi.optimisation.operators import BlockOperator, Gradient from ccpi.optimisation.functions import BlockFunction, KullbackLeibler, MixedL21Norm, IndicatorBox from ccpi.optimisation.algorithms import SPDHG, PDHG # Fast Gradient Projection algorithm for Total Variation(TV) from ccpi.optimisation.functions import TotalVariation loader = TestData() data = loader.load(TestData.SIMPLE_PHANTOM_2D, size=(128,128)) print ("here") ig = data.geometry ig.voxel_size_x = 0.1 ig.voxel_size_y = 0.1 detectors = ig.shape[0] angles = np.linspace(0, np.pi, 180) ag = AcquisitionGeometry('parallel','2D',angles, detectors, pixel_size_h = 0.1) # Select device dev = 'gpu' Aop = AstraProjectorSimple(ig, ag, dev) sin = Aop.direct(data) # Create noisy data. Apply Gaussian noise noises = ['gaussian', 'poisson'] noise = noises[1] if noise == 'poisson': np.random.seed(10) scale = 5 eta = 0 noisy_data = AcquisitionData(np.random.poisson( scale * (eta + sin.as_array()))/scale, ag) elif noise == 'gaussian': np.random.seed(10) n1 = np.random.normal(0, 0.1, size = ag.shape) noisy_data = AcquisitionData(n1 + sin.as_array(), ag) else: raise ValueError('Unsupported Noise ', noise) # Create BlockOperator operator = Aop f = KullbackLeibler(b=noisy_data) alpha = 0.5 g = TotalVariation(alpha, 50, 1e-4, lower=0) normK = operator.norm() sigma = 1/normK tau = 1/normK # Setup and run the PDHG algorithm pdhg = PDHG(f=f,g=g,operator=operator, tau=tau, sigma=sigma) pdhg.max_iteration = 1000 pdhg.update_objective_interval = 200 #%% 'implicit' PDHG, preconditioned step-sizes tau_tmp = 1 sigma_tmp = 1 tau = sigma_tmp / operator.adjoint(tau_tmp * operator.range_geometry().allocate(1.)) sigma = tau_tmp / operator.direct(sigma_tmp * operator.domain_geometry().allocate(1.)) x_init = operator.domain_geometry().allocate() # Setup and run the PDHG algorithm pdhg = PDHG(f=f,g=g,operator=operator, tau=tau, sigma=sigma) pdhg.max_iteration = 1000 pdhg.update_objective_interval = 200 pdhg.run(1000, very_verbose = True) subsets = 10 size_of_subsets = int(len(angles)/subsets) # take angles and create uniform subsets in uniform+sequential setting list_angles = [angles[i:i+size_of_subsets] for i in range(0, len(angles), size_of_subsets)] # create acquisitioin geometries for each the interval of splitting angles list_geoms = [AcquisitionGeometry('parallel','2D',list_angles[i], detectors, pixel_size_h = 0.1) for i in range(len(list_angles))] # create with operators as many as the subsets A = BlockOperator(*[AstraProjectorSimple(ig, list_geoms[i], dev) for i in range(subsets)]) ## number of subsets #(sub2ind, ind2sub) = divide_1Darray_equally(range(len(A)), subsets) # ## acquisisiton data g = BlockDataContainer(*[AcquisitionData(noisy_data.as_array()[i:i+size_of_subsets,:]) for i in range(0, len(angles), size_of_subsets)]) alpha = 0.5 ## block function F = BlockFunction(*[KullbackLeibler(b=g[i]) for i in range(subsets)]) G = TotalVariation(alpha, 50, 1e-4, lower=0) prob = [1/len(A)]*len(A) spdhg = SPDHG(f=F,g=G,operator=A, max_iteration = 1000, update_objective_interval=200, prob = prob) spdhg.run(1000, very_verbose = True) from ccpi.utilities.quality_measures import mae, mse, psnr qm = (mae(spdhg.get_output(), pdhg.get_output()), mse(spdhg.get_output(), pdhg.get_output()), psnr(spdhg.get_output(), pdhg.get_output()) ) print ("Quality measures", qm) np.testing.assert_almost_equal( mae(spdhg.get_output(), pdhg.get_output()), 0.0028578834608197212, decimal=3) np.testing.assert_almost_equal( mse(spdhg.get_output(), pdhg.get_output()), 3.885594196617603e-05, decimal=3) @unittest.skipIf(astra_not_available, "ccpi-astra not available") def test_SPDHG_vs_PDHG_explicit(self): from ccpi.astra.operators import AstraProjectorSimple from ccpi.framework import BlockDataContainer, AcquisitionData, AcquisitionGeometry, ImageData, ImageGeometry from ccpi.optimisation.operators import BlockOperator, Gradient from ccpi.optimisation.functions import BlockFunction, KullbackLeibler, MixedL21Norm, IndicatorBox from ccpi.optimisation.algorithms import SPDHG, PDHG loader = TestData() data = loader.load(TestData.SIMPLE_PHANTOM_2D, size=(128,128)) print ("here") ig = data.geometry ig.voxel_size_x = 0.1 ig.voxel_size_y = 0.1 detectors = ig.shape[0] angles = np.linspace(0, np.pi, 180) ag = AcquisitionGeometry('parallel','2D',angles, detectors, pixel_size_h = 0.1) # Select device dev = 'gpu' Aop = AstraProjectorSimple(ig, ag, dev) sin = Aop.direct(data) # Create noisy data. Apply Gaussian noise noises = ['gaussian', 'poisson'] noise = noises[1] if noise == 'poisson': np.random.seed(10) scale = 5 eta = 0 noisy_data = AcquisitionData(np.random.poisson( scale * (eta + sin.as_array()))/scale, ag) elif noise == 'gaussian': np.random.seed(10) n1 = np.random.normal(0, 0.1, size = ag.shape) noisy_data = AcquisitionData(n1 + sin.as_array(), ag) else: raise ValueError('Unsupported Noise ', noise) #%% 'explicit' SPDHG, scalar step-sizes subsets = 10 size_of_subsets = int(len(angles)/subsets) # create Gradient operator op1 = Gradient(ig) # take angles and create uniform subsets in uniform+sequential setting list_angles = [angles[i:i+size_of_subsets] for i in range(0, len(angles), size_of_subsets)] # create acquisitioin geometries for each the interval of splitting angles list_geoms = [AcquisitionGeometry('parallel','2D',list_angles[i], detectors, pixel_size_h = 0.1) for i in range(len(list_angles))] # create with operators as many as the subsets A = BlockOperator(*[AstraProjectorSimple(ig, list_geoms[i], dev) for i in range(subsets)] + [op1]) ## number of subsets #(sub2ind, ind2sub) = divide_1Darray_equally(range(len(A)), subsets) # ## acquisisiton data g = BlockDataContainer(*[AcquisitionData(noisy_data.as_array()[i:i+size_of_subsets,:]) for i in range(0, len(angles), size_of_subsets)]) alpha = 0.5 ## block function F = BlockFunction(*[*[KullbackLeibler(b=g[i]) for i in range(subsets)] + [alpha * MixedL21Norm()]]) G = IndicatorBox(lower=0) print ("here") prob = [1/(2*subsets)]*(len(A)-1) + [1/2] spdhg = SPDHG(f=F,g=G,operator=A, max_iteration = 1000, update_objective_interval=200, prob = prob) spdhg.run(1000, very_verbose = True) #%% 'explicit' PDHG, scalar step-sizes op1 = Gradient(ig) op2 = Aop # Create BlockOperator operator = BlockOperator(op1, op2, shape=(2,1) ) f2 = KullbackLeibler(b=noisy_data) g = IndicatorBox(lower=0) normK = operator.norm() sigma = 1/normK tau = 1/normK f1 = alpha * MixedL21Norm() f = BlockFunction(f1, f2) # Setup and run the PDHG algorithm pdhg = PDHG(f=f,g=g,operator=operator, tau=tau, sigma=sigma) pdhg.max_iteration = 1000 pdhg.update_objective_interval = 200 pdhg.run(1000, very_verbose = True) #%% show diff between PDHG and SPDHG # plt.imshow(spdhg.get_output().as_array() -pdhg.get_output().as_array()) # plt.colorbar() # plt.show() from ccpi.utilities.quality_measures import mae, mse, psnr qm = (mae(spdhg.get_output(), pdhg.get_output()), mse(spdhg.get_output(), pdhg.get_output()), psnr(spdhg.get_output(), pdhg.get_output()) ) print ("Quality measures", qm) np.testing.assert_almost_equal( mae(spdhg.get_output(), pdhg.get_output()), 0.0015075773699209094 , decimal=3) np.testing.assert_almost_equal( mse(spdhg.get_output(), pdhg.get_output()), 1.6859006791491993e-05, decimal=3) @unittest.skipIf(astra_not_available, "ccpi-astra not available") def test_SPDHG_vs_SPDHG_explicit_axpby(self): from ccpi.astra.operators import AstraProjectorSimple from ccpi.framework import BlockDataContainer, AcquisitionData, AcquisitionGeometry, ImageData, ImageGeometry from ccpi.optimisation.operators import BlockOperator, Gradient from ccpi.optimisation.functions import BlockFunction, KullbackLeibler, MixedL21Norm, IndicatorBox from ccpi.optimisation.algorithms import SPDHG, PDHG loader = TestData() data = loader.load(TestData.SIMPLE_PHANTOM_2D, size=(128,128)) print ("test_SPDHG_vs_SPDHG_explicit_axpby here") ig = data.geometry ig.voxel_size_x = 0.1 ig.voxel_size_y = 0.1 detectors = ig.shape[0] angles = np.linspace(0, np.pi, 180) ag = AcquisitionGeometry('parallel','2D',angles, detectors, pixel_size_h = 0.1) # Select device # device = input('Available device: GPU==1 / CPU==0 ') # if device=='1': # dev = 'gpu' # else: # dev = 'cpu' dev = 'gpu' Aop = AstraProjectorSimple(ig, ag, dev) sin = Aop.direct(data) # Create noisy data. Apply Gaussian noise noises = ['gaussian', 'poisson'] noise = noises[1] if noise == 'poisson': np.random.seed(10) scale = 5 eta = 0 noisy_data = AcquisitionData(np.random.poisson( scale * (eta + sin.as_array()))/scale, ag) elif noise == 'gaussian': np.random.seed(10) n1 = np.random.normal(0, 0.1, size = ag.shape) noisy_data = AcquisitionData(n1 + sin.as_array(), ag) else: raise ValueError('Unsupported Noise ', noise) #%% 'explicit' SPDHG, scalar step-sizes subsets = 10 size_of_subsets = int(len(angles)/subsets) # create Gradient operator op1 = Gradient(ig) # take angles and create uniform subsets in uniform+sequential setting list_angles = [angles[i:i+size_of_subsets] for i in range(0, len(angles), size_of_subsets)] # create acquisitioin geometries for each the interval of splitting angles list_geoms = [AcquisitionGeometry('parallel','2D',list_angles[i], detectors, pixel_size_h = 0.1) for i in range(len(list_angles))] # create with operators as many as the subsets A = BlockOperator(*[AstraProjectorSimple(ig, list_geoms[i], dev) for i in range(subsets)] + [op1]) ## number of subsets #(sub2ind, ind2sub) = divide_1Darray_equally(range(len(A)), subsets) # ## acquisisiton data g = BlockDataContainer(*[AcquisitionData(noisy_data.as_array()[i:i+size_of_subsets,:]) for i in range(0, len(angles), size_of_subsets)]) alpha = 0.5 ## block function F = BlockFunction(*[*[KullbackLeibler(b=g[i]) for i in range(subsets)] + [alpha * MixedL21Norm()]]) G = IndicatorBox(lower=0) print ("here") prob = [1/(2*subsets)]*(len(A)-1) + [1/2] algos = [] algos.append( SPDHG(f=F,g=G,operator=A, max_iteration = 1000, update_objective_interval=200, prob = prob.copy(), use_axpby=True) ) algos[0].run(1000, very_verbose = True) algos.append( SPDHG(f=F,g=G,operator=A, max_iteration = 1000, update_objective_interval=200, prob = prob.copy(), use_axpby=False) ) algos[1].run(1000, very_verbose = True) # np.testing.assert_array_almost_equal(algos[0].get_output().as_array(), algos[1].get_output().as_array()) from ccpi.utilities.quality_measures import mae, mse, psnr qm = (mae(algos[0].get_output(), algos[1].get_output()), mse(algos[0].get_output(), algos[1].get_output()), psnr(algos[0].get_output(), algos[1].get_output()) ) print ("Quality measures", qm) assert qm[0] < 0.005 assert qm[1] < 3.e-05 @unittest.skipIf(astra_not_available, "ccpi-astra not available") def test_PDHG_vs_PDHG_explicit_axpby(self): from ccpi.astra.operators import AstraProjectorSimple from ccpi.framework import BlockDataContainer, AcquisitionData, AcquisitionGeometry, ImageData, ImageGeometry from ccpi.optimisation.operators import BlockOperator, Gradient from ccpi.optimisation.functions import BlockFunction, KullbackLeibler, MixedL21Norm, IndicatorBox from ccpi.optimisation.algorithms import PDHG loader = TestData() data = loader.load(TestData.SIMPLE_PHANTOM_2D, size=(128,128)) print ("test_PDHG_vs_PDHG_explicit_axpby here") ig = data.geometry ig.voxel_size_x = 0.1 ig.voxel_size_y = 0.1 detectors = ig.shape[0] angles = np.linspace(0, np.pi, 180) ag = AcquisitionGeometry('parallel','2D',angles, detectors, pixel_size_h = 0.1) dev = 'gpu' Aop = AstraProjectorSimple(ig, ag, dev) sin = Aop.direct(data) # Create noisy data. Apply Gaussian noise noises = ['gaussian', 'poisson'] noise = noises[1] if noise == 'poisson': np.random.seed(10) scale = 5 eta = 0 noisy_data = AcquisitionData(np.random.poisson( scale * (eta + sin.as_array()))/scale, ag) elif noise == 'gaussian': np.random.seed(10) n1 = np.random.normal(0, 0.1, size = ag.shape) noisy_data = AcquisitionData(n1 + sin.as_array(), ag) else: raise ValueError('Unsupported Noise ', noise) alpha = 0.5 op1 = Gradient(ig) op2 = Aop # Create BlockOperator operator = BlockOperator(op1, op2, shape=(2,1) ) f2 = KullbackLeibler(b=noisy_data) g = IndicatorBox(lower=0) normK = operator.norm() sigma = 1/normK tau = 1/normK f1 = alpha * MixedL21Norm() f = BlockFunction(f1, f2) # Setup and run the PDHG algorithm algos = [] algos.append( PDHG(f=f,g=g,operator=operator, tau=tau, sigma=sigma, max_iteration = 1000, update_objective_interval=200, use_axpby=True) ) algos[0].run(1000, very_verbose = True) algos.append( PDHG(f=f,g=g,operator=operator, tau=tau, sigma=sigma, max_iteration = 1000, update_objective_interval=200, use_axpby=False) ) algos[1].run(1000, very_verbose = True) from ccpi.utilities.quality_measures import mae, mse, psnr qm = (mae(algos[0].get_output(), algos[1].get_output()), mse(algos[0].get_output(), algos[1].get_output()), psnr(algos[0].get_output(), algos[1].get_output()) ) print ("Quality measures", qm) np.testing.assert_array_less( qm[0], 0.005 ) np.testing.assert_array_less( qm[1], 3.e-05) if __name__ == '__main__': d = TestAlgorithms() d.test_GradientDescentArmijo2()

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Python

boa3_test/test_sc/python_operation_test/ListNotIn.py

hal0x2328/neo3-boa

6825a3533384cb01660773050719402a9703065b

[ "Apache-2.0" ]

25

2020-07-22T19:37:43.000Z

2022-03-08T03:23:55.000Z

boa3_test/test_sc/python_operation_test/ListNotIn.py

hal0x2328/neo3-boa

6825a3533384cb01660773050719402a9703065b

[ "Apache-2.0" ]

419

2020-04-23T17:48:14.000Z

2022-03-31T13:17:45.000Z

boa3_test/test_sc/python_operation_test/ListNotIn.py

hal0x2328/neo3-boa

6825a3533384cb01660773050719402a9703065b

[ "Apache-2.0" ]

15

2020-05-21T21:54:24.000Z

2021-11-18T06:17:24.000Z

from typing import Any from boa3.builtin import public @public def main(value: Any, some_list: list) -> bool: return value not in some_list

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py

Python

config/settings/config_mq.py

makethedayunique/pandama-online-store

38c02809a89087f5a6c83fd6ee2c39dab8d66f6c

[ "MIT" ]

null

config/settings/config_mq.py

makethedayunique/pandama-online-store

38c02809a89087f5a6c83fd6ee2c39dab8d66f6c

[ "MIT" ]

null

config/settings/config_mq.py

makethedayunique/pandama-online-store

38c02809a89087f5a6c83fd6ee2c39dab8d66f6c

[ "MIT" ]

null

import environ root = environ.Path(__file__) - 3 env = environ.Env() environ.Env.read_env() MQ_BROKER_URL = env('MQ_BROKER_URL')

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48e75d914d50f64cad90572b470a322b47ec907b

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py

Python

authorityspoke/io/__init__.py

mscarey/AuthoritySpoke

047c30a5f8af8dcfae6d6cd4ec6d80bf646ff33b

[ "FTL", "CNRI-Python", "Apache-1.1" ]

18

2019-05-13T23:04:48.000Z

2022-03-23T00:48:30.000Z

authorityspoke/io/__init__.py

mscarey/AuthoritySpoke

047c30a5f8af8dcfae6d6cd4ec6d80bf646ff33b

[ "FTL", "CNRI-Python", "Apache-1.1" ]

98

2019-05-07T10:38:03.000Z

2021-10-17T01:54:27.000Z

authorityspoke/io/__init__.py

mscarey/AuthoritySpoke

047c30a5f8af8dcfae6d6cd4ec6d80bf646ff33b

[ "FTL", "CNRI-Python", "Apache-1.1" ]

1

2020-06-15T17:31:57.000Z

"""Module for moving data in and out of AuthoritySpoke.""" from justopinion import CAPClient

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py

Python

model/criterion/__init__.py

Tenvence/instance-set-prediction-net

3dca2853a3da479264b9e55da3fe1e7d522a2079

[ "Apache-2.0" ]

null

model/criterion/__init__.py

Tenvence/instance-set-prediction-net

3dca2853a3da479264b9e55da3fe1e7d522a2079

[ "Apache-2.0" ]

null

model/criterion/__init__.py

Tenvence/instance-set-prediction-net

3dca2853a3da479264b9e55da3fe1e7d522a2079

[ "Apache-2.0" ]

null

from .hungarian_matcher import * from .det_criterion import *

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py

Python

tests/urls.py

mdavino/spid-django

5e27af898a7a7ff1d4edb54113cb434c04c582dd

[ "Apache-2.0" ]

37

2017-10-01T14:55:51.000Z

2022-02-14T20:54:39.000Z

tests/urls.py

damikael/spid-django

3ca45df31195541ac669503dc85ae753254c6d00

[ "Apache-2.0" ]

51

2017-09-21T13:19:21.000Z

2022-03-23T11:30:40.000Z

tests/urls.py

damikael/spid-django

3ca45df31195541ac669503dc85ae753254c6d00

[ "Apache-2.0" ]

21

2017-10-01T15:02:14.000Z

2021-09-15T13:07:51.000Z

from django.contrib import admin from django.urls import path, include import djangosaml2_spid.urls urlpatterns = [ path('admin/', admin.site.urls), path('', include((djangosaml2_spid.urls, 'djangosaml2_spid',))), ]

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Python

tests/0_orchestrator/test_suite/testcases/advanced_tests/test03_gws_apis.py

5l1v3r1/0-orchestrator

9373a4acb1517ff001df526925c224a7a93b3274

[ "Apache-2.0" ]

3

2017-07-04T14:02:02.000Z

2019-07-06T23:34:08.000Z

tests/0_orchestrator/test_suite/testcases/advanced_tests/test03_gws_apis.py

5l1v3r1/0-orchestrator

9373a4acb1517ff001df526925c224a7a93b3274

[ "Apache-2.0" ]

497

2017-05-31T07:55:40.000Z

2018-01-03T12:10:43.000Z

tests/0_orchestrator/test_suite/testcases/advanced_tests/test03_gws_apis.py

zero-os/0-orchestrator

9373a4acb1517ff001df526925c224a7a93b3274

[ "Apache-2.0" ]

8

2017-06-14T09:45:56.000Z

2021-02-01T18:12:55.000Z

import random, time from testcases.testcases_base import TestcasesBase import unittest class TestGatewayAPICreation(TestcasesBase): def setUp(self): super().setUp() self.core0_client.create_ovs_container() self.core0_client.timeout = 30 self.flist = 'https://hub.gig.tech/gig-official-apps/ubuntu1604.flist' self.container_body = {"name": self.rand_str(), "hostname": self.rand_str(), "flist": self.flist} def tearDown(self): self.lg.info(' [*] Delete all created {} gateways'.format(self.nodeid)) attributes = self.__dict__.keys() if 'data' in attributes: if self.data: self.gateways_api.delete_nodes_gateway(self.nodeid, self.data['name']) self.lg.info(' [*] TearDown:delete all created container ') if 'container_data' in attributes: if self.container_data: self.containers_api.delete_containers_containerid(self.nodeid, self.container_data['name']) self.lg.info(' [*] TearDown:delete all created bridges ') if 'bridge_data' in attributes: if self.bridge_data: self.bridges_api.delete_nodes_bridges_bridgeid(self.nodeid, self.bridge_data['name']) super().tearDown() def create_vm(self, nics): response = self.storageclusters_api.get_storageclusters() self.assertEqual(response.status_code, 200) storageclusters = response.json() if storageclusters: storagecluster = storageclusters[-1] else: free_disks = self.core0_client.getFreeDisks() if free_disks == []: self.skipTest(' [*] no free disks to create storagecluster.') self.lg.info(' [*] Deploy new storage cluster (SC0).') response, data = self.storageclusters_api.post_storageclusters(node_id=self.nodeid) self.assertEqual(response.status_code, 201) storagecluster = data['label'] self.lg.info(' [*] Create new vdisk.') response, data = self.vdisks_api.post_vdisks(storagecluster=storagecluster, size=15, blocksize=4096, type='boot') boot_disk = data['id'] self.lg.info(' [*] Create virtual machine (VM0) on node (N0)') disks = [{"vdiskid": boot_disk, "maxIOps": 2000}] response, data = self.vms_api.post_nodes_vms(node_id=self.nodeid, memory=1024, cpu=1, nics=nics, disks=disks) self.assertEqual(response.status_code, 201) return data def test001_create_gateway_with_xlan_xlan_container(self): """ GAT-123 **Test Scenario:** #. Get random node (N0), should succeed. #. Create gateway with Xlan and Xlan as nics on node (N0), should succeed. #. Bind a new container to Xlan(1). #. Bind a new container to Xlan(2). #. Make sure that those two containers can ping each others. """ self.lg.info(' [*] Create gateway with xlan as nics on node (N0), should succeed') nics_type = [{ 'type': random.choice(['vlan', 'vxlan']), 'gateway': True, 'dhcp': False, 'bridge_name': '', 'zerotierbridge': False }, { 'type': random.choice(['vlan', 'vxlan']), 'gateway': False, 'dhcp': False, 'bridge_name': '', 'zerotierbridge': '' }, { 'type': random.choice(['vlan', 'vxlan']), 'gateway': False, 'dhcp': False, 'bridge_name': '', 'zerotierbridge': '' } ] nics = self.get_gateway_nic(nics_types=nics_type) self.response, self.data = self.gateways_api.post_nodes_gateway(self.nodeid, nics=nics) self.assertEqual(self.response.status_code, 201) self.lg.info(' [*] Bind a new container to vlan(1)') nics_container = [{'type': nics[1]['type'], 'id': nics[1]['id'], 'config': {'dhcp': False, 'gateway': nics[1]['config']['cidr'][:-3], 'cidr': nics[1]['config']['cidr'][:-4] + '10/24'} }] uid_1 = self.core0_client.client.container.create(self.flist, nics=nics_container).get() container_1 = self.core0_client.client.container.client(int(uid_1)) self.lg.info(' [*] Bind a new container to vlan(2)') nics_container = [{'type': nics[2]['type'], 'id': nics[2]['id'], 'config': {'dhcp': False, 'gateway': nics[2]['config']['cidr'][:-3], 'cidr': nics[2]['config']['cidr'][:-4] + '10/24'} }] uid = self.core0_client.client.container.create(self.flist, nics=nics_container).get() container_2 = self.core0_client.client.container.client(int(uid)) time.sleep(5) self.lg.info(' [*] Make sure that those two containers can ping each others') response = container_1.bash('ping -w5 %s' % nics[2]['config']['cidr'][:-4] + '10').get() self.assertEqual(response.state, 'SUCCESS') response = container_2.bash('ping -w5 %s' % nics[1]['config']['cidr'][:-4] + '10').get() self.assertEqual(response.state, 'SUCCESS') self.core0_client.client.container.terminate(int(uid_1)) self.core0_client.client.container.terminate(int(uid)) @unittest.skip('ssh to vm issue') def test003_create_gateway_with_xlan_xlan_vm(self): """ GAT-125 **Test Scenario:** #. Get random node (N0), should succeed. #. Create gateway with vlan and vlan as nics on node (N0), should succeed. #. Bind a new vm to vlan(1). #. Bind a new vm to vlan(2). #. Make sure that those two containers can ping each others. """ nics_type = [{ 'type':'bridge', 'gateway': True, 'dhcp': False, 'bridge_name': '', 'zerotierbridge': False }, { 'type': random.choice(['vlan', 'vxlan']), 'gateway': False, 'dhcp': True, 'bridge_name': '', 'zerotierbridge': '' }, { 'type': random.choice(['vlan', 'vxlan']), 'gateway': False, 'dhcp': True, 'bridge_name': '', 'zerotierbridge': '' } ] nics = self.get_gateway_nic(nics_types=nics_type) vm1_mac_addr = nics[1]['dhcpserver']['hosts'][1]['macaddress'] vm1_ip_addr = nics[1]['dhcpserver']['hosts'][1]['ipaddress'] vm2_mac_addr = nics[2]['dhcpserver']['hosts'][1]['macaddress'] vm2_ip_addr = nics[2]['dhcpserver']['hosts'][1]['ipaddress'] test_container_mac_addr = nics[1]['dhcpserver']['hosts'][0]['macaddress'] nics[2]['dhcpserver']['hosts'][0]['macaddress'] = test_container_mac_addr ## set cloudinit cloudinit = {"chpasswd": {"expire": false}, "ssh_pwauth":true, "users": [{"plain_text_passwd": "GB389z2wZ", "lock-passwd": false,"name": "gig", "shell": "/bin/bash", "sudo": "ALL=(ALL) ALL"}]} self.response, self.data = self.gateways_api.post_nodes_gateway(self.nodeid, nics=nics) self.assertEqual(self.response.status_code, 201) nics = [{'id': nics[1]['id'], 'type': nics[1]['type'], 'macaddress': vm1_mac_addr}] self.create_vm(nics=nics) nics = [{'id': nics[2]['id'], 'type': nics[2]['type'], 'macaddress': vm2_mac_addr}] self.create_vm(nics=nics) self.lg.info(' [*] create test container') nics = [{'type': nics[1]['type'], 'id': nics[1]['id'], 'config': {'dhcp': True}, 'hwaddr': test_container_mac_addr}, {'type': nics[2]['type'], 'id': nics[2]['id'], 'config': {'dhcp': True}, 'hwaddr': test_container_mac_addr}] uid = self.core0_client.client.container.create(self.flist, nics=nics).get() test_container = self.core0_client.client.container.client(uid) time.sleep(60) response = test_container.bash( 'sshpass -p rooter ssh gig@%s -oStrictHostKeyChecking=no ping %s' % (vm1_ip_addr, vm2_ip_addr)).get() self.assertEqual(response.state, 'SUCCESS', response.stderr) response = test_container.bash( 'sshpass -p rooter ssh gig@%s -oStrictHostKeyChecking=no ping %s' % (vm2_ip_addr, vm1_ip_addr)).get() self.assertEqual(response.state, 'SUCCESS', response.stderr) def test005_create_gateway_with_bridge_xlan_container(self): """ GAT-127 **Test Scenario:** #. Get random node (N0), should succeed. #. Create gateway with bridge and vxlan as nics on node (N0), should succeed. #. Bind a new container to vlan(1). #. Verify that this container has public access. """ bridge_name = 'b' + self.random_string() nics_type = [{ 'type': 'bridge', 'gateway': True, 'dhcp': False, 'bridge_name': bridge_name, 'zerotierbridge': '' }, { 'type': random.choice(['vlan', 'vxlan']), 'gateway': False, 'dhcp': True, 'bridge_name': '', 'zerotierbridge': '' } ] nics = self.get_gateway_nic(nics_types=nics_type) self.lg.info(' [*] Create bridge (B1) on node (N0), should succeed with 201') setting = {"cidr": nics[0]['config']['gateway'] + '/24'} response, self.bridge_data = self.bridges_api.post_nodes_bridges(self.nodeid, name=bridge_name, networkMode='static', nat=True, setting=setting) self.assertEqual(response.status_code, 201, response.content) self.response, self.data = self.gateways_api.post_nodes_gateway(self.nodeid, nics=nics) self.assertEqual(self.response.status_code, 201) self.lg.info(' [*] Create container') nics_container = [{"type": nics[1]['type'], "id": nics[1]['id'], "hwaddr": nics[1]['dhcpserver']['hosts'][0]['macaddress'], "config": {"dhcp": True}}] response, self.container_data = self.containers_api.post_containers(self.nodeid, nics=nics_container) self.assertEqual(response.status_code, 201, " [*] Can't create container.") container = self.core0_client.get_container_client(self.container_data['name']) self.assertTrue(container) time.sleep(5) response = container.bash('ping -w3 8.8.8.8').get() self.assertEqual(response.state, 'SUCCESS') self.assertNotIn("unreachable", response.stdout) @unittest.skip('ssh to vm issue') def test007_create_gateway_with_bridge_xlan_vm(self): """ GAT-129 **Test Scenario:** #. Get random node (N0), should succeed. #. Create gateway with bridge and vlan as nics on node (N0), should succeed. #. Bind a new vm to vlan(1). #. Verify that this vm has public access. """ self.lg.info(' [*] Create bridge (B1) on node (N0), should succeed with 201') response, self.bridge_data = self.bridges_api.post_nodes_bridges(self.nodeid, networkMode='static', nat=True) self.assertEqual(response.status_code, 201, response.content) time.sleep(3) nics_type = [{ 'type': 'bridge', 'gateway': True, 'dhcp': False, 'bridge_name': self.bridge_data['name'], 'zerotierbridge': '' }, { 'type': random.choice(['vlan', 'vxlan']), 'gateway': False, 'dhcp': True, 'bridge_name': '', 'zerotierbridge': '' } ] nics = self.get_gateway_nic(nics_types=nics_type) self.response, self.data = self.gateways_api.post_nodes_gateway(self.nodeid, nics=nics) self.assertEqual(self.response.status_code, 201) vm1_mac_addr = nics_type[1]['dhcpserver']['hosts'][0]['macaddress'] vm1_ip_addr = nics_type[1]['dhcpserver']['hosts'][0]['ipaddress'] test_container_mac_addr = nics_type[1]['dhcpserver']['hosts'][1]['macaddress'] nics = [{'id': nics[1]['id'], 'type': nics[1]['type'], 'macaddress': vm1_mac_addr}] self.create_vm(nics=nics) self.lg.info(' [*] create test container') nics = [{'type': nics[1]['type'], 'id': nics[1]['id'], 'config': {'dhcp': True}, 'hwaddr': test_container_mac_addr}] uid = self.core0_client.client.container.create(self.flist, nics=nics).get() test_container = self.core0_client.client.container.client(uid) test_container.bash('apt install ssh -y; apt install sshpass -y') time.sleep(60) response = test_container.bash('ssh gig@%s -oStrictHostKeyChecking=no ping -w3 8.8.8.8' % vm1_ip_addr).get() self.assertEqual(response.state, 'SUCCESS') self.core0_client.client.container.terminate(int(uid)) def test009_create_gateway_dhcpserver(self): """ GAT-131 **Test Scenario:** #. Get random node (N0), should succeed. #. Create gateway with bridge and xlan as nics on node (N0), should succeed. #. Specify a dhcpserver for container and vm in this GW #. Create a container and vm to match the dhcpserver specs #. Verify that container and vm ips are matching with the dhcpserver specs. """ self.lg.info(' [*] Create bridge (B1) on node (N0), should succeed with 201') response, self.bridge_data = self.bridges_api.post_nodes_bridges(self.nodeid, networkMode='static', nat=True) self.assertEqual(response.status_code, 201, response.content) time.sleep(3) nics_type = [{ 'type': 'bridge', 'gateway': True, 'dhcp': False, 'bridge_name': self.bridge_data['name'], 'zerotierbridge': '' }, { 'type': random.choice(['vlan', 'vxlan']), 'gateway': False, 'dhcp': True, 'bridge_name': '', 'zerotierbridge': '' } ] nics = self.get_gateway_nic(nics_types=nics_type) self.response, self.data = self.gateways_api.post_nodes_gateway(node_id=self.nodeid, nics=nics) self.assertEqual(self.response.status_code, 201, response.content) nics_container = [{ 'type': nics[1]['type'], 'name': 'test', 'id': nics[1]['id'], 'hwaddr': nics[1]['dhcpserver']['hosts'][0]['macaddress'], 'config': {'dhcp': True} }] uid = self.core0_client.client.container.create(self.flist, nics=nics_container).get() time.sleep(5) container_1 = self.core0_client.client.container.client(int(uid)) container_1_nics = container_1.info.nic() interface = [x for x in container_1_nics if x['name'] == 'test'] self.assertNotEqual(interface, []) self.assertIn(nics[1]['dhcpserver']['hosts'][0]['ipaddress'], [x['addr'][:-3] for x in interface[0]['addrs']]) self.assertEqual(nics[1]['dhcpserver']['hosts'][0]['macaddress'], interface[0]['hardwareaddr']) self.core0_client.client.container.terminate(int(uid)) @unittest.skip('https://github.com/zero-os/0-orchestrator/issues/1102') def test010_create_gateway_httpproxy(self): """ GAT-132 **Test Scenario:** #. Get random node (N0), should succeed. #. Create gateway with bridge and vlan as nics and httpproxy with two containers on node (N0), should succeed. #. Create two containers to for test the httpproxy's configuration #. Verify that the httprxoy's configuration is working right """ self.lg.info(' [*] Create bridge (B1) on node (N0), should succeed with 201') response, self.bridge_data = self.bridges_api.post_nodes_bridges(self.nodeid, networkMode='static', nat=True) self.assertEqual(response.status_code, 201, response.content) time.sleep(3) nics_type = [{ 'type': 'bridge', 'gateway': True, 'dhcp': False, 'bridge_name': self.bridge_data['name'], 'zerotierbridge': '' }, { 'type': random.choice(['vlan', 'vxlan']), 'gateway': False, 'dhcp': True, 'bridge_name': '', 'zerotierbridge': '' } ] nics_data = self.get_gateway_nic(nics_types=nics_type) httpproxies = [ { "host": "container1", "destinations": ['http://{}:1000'.format(nics_data[1]['config']['cidr'][:-4] + '10/24')], "types": ['http', 'https'] }, { "host": "container2", "destinations": ['http://{}:2000'.format(nics_data[1]['config']['cidr'][:-4] + '20/24')], "types": ['http', 'https'] } ] self.response, self.data = self.gateways_api.post_nodes_gateway(node_id=self.nodeid, nics=nics_data, httpproxies=httpproxies) self.assertEqual(response.status_code, 201, response.content) nics = [{'type': nics_type[1]['type'], 'id': nics_data[1]['id'], 'config': {'dhcp': False, 'gateway': nics_data[1]['config']['cidr'][:-3], 'cidr': nics_data[1]['config']['cidr'][:-4] + '10/24'}}] uid_1 = self.core0_client.client.container.create(self.flist, nics=nics).get() container_1 = self.core0_client.client.container.client(int(uid_1)) nics = [{'type': nics_type[1]['type'], 'id': nics_data[1]['id'], 'config': {'dhcp': False, 'gateway': nics_data[1]['config']['cidr'][:-3], 'cidr': nics_data[1]['config']['cidr'][:-4] + '20/24'}}] uid = self.core0_client.client.container.create(self.flist, nics=nics).get() container_2 = self.core0_client.client.container.client(int(uid)) self.lg.info('Make sure that those two containers can ping each others') container_1.bash('python3 -m http.server 1000') container_2.bash('python3 -m http.server 2000') time.sleep(2) response = container_1.bash( 'python3 -c "from urllib.request import urlopen; urlopen(\'{}\')"'.format('http://container2')).get() self.assertEqual(response.state, 'SUCCESS') response = container_2.bash( 'python3 -c "from urllib.request import urlopen; urlopen(\'{}\')"'.format('http://container1')).get() self.assertEqual(response.state, 'SUCCESS') self.core0_client.client.container.terminate(int(uid_1)) self.core0_client.client.container.terminate(int(uid)) def test011_create_gateway_portforwards(self): """ GAT-133 **Test Scenario:** #. Get random node (N0), should succeed. #. Create bridge(B0) , should succeed. #. Create gateway with bridge and vlan as nics should succeed. #. Set a portforward form srcip:80 to destination:80 #. Create one container as a destination host #. Start any service in this container #. Using core0_client try to request this service and make sure that u can reach the container """ bridge_name = 'b' + self.random_string() self.lg.info(" [*] Create gateway with bridge and vlan as nics should succeed.") nics_type = [{ 'type': 'bridge', 'gateway': True, 'dhcp': False, 'bridge_name': bridge_name, 'zerotierbridge': '' }, { 'type': random.choice(['vlan', 'vxlan']), 'gateway': False, 'dhcp': True, 'bridge_name': '', 'zerotierbridge': '' } ] nics = self.get_gateway_nic(nics_types=nics_type) self.lg.info(' [*] Create bridge (B1) on node (N0), should succeed with 201') setting = {"cidr": nics[0]['config']['gateway'] + '/24'} response, self.bridge_data = self.bridges_api.post_nodes_bridges(self.nodeid, name=bridge_name, networkMode='static', nat=True, setting=setting) self.assertEqual(response.status_code, 201, response.content) portforwards = [ { "srcport": 5000, "srcip": nics[0]['config']['cidr'][:-3], "dstport": 5000, "dstip": nics[1]['dhcpserver']['hosts'][0]['ipaddress'], "protocols": [ "tcp" ] } ] self.lg.info("[*] Create rule on port 80") try: self.core0_client.client.nft.open_port(5000) except: pass self.response, self.data = self.gateways_api.post_nodes_gateway(node_id=self.nodeid, nics=nics, portforwards=portforwards) self.assertEqual(self.response.status_code, 201, response.content) self.lg.info(' [*] Create container') nics_container = [{"type": nics[1]['type'], "id": nics[1]['id'], "hwaddr": nics[1]['dhcpserver']['hosts'][0]['macaddress'], "config": {"dhcp": True}}] response, self.container_data = self.containers_api.post_containers(self.nodeid, nics=nics_container) self.assertEqual(response.status_code, 201, " [*] Can't create container.") container = self.core0_client.get_container_client(self.container_data['name']) self.assertTrue(container) file_name = self.random_string() self.lg.info(" [*] Start any service in this container") response = container.bash("echo test > {}.txt".format(file_name)).get() self.assertEqual(response.state, "SUCCESS", response.stderr) container.bash("python3 -m http.server 5000") time.sleep(5) url = 'http://{}:5000/{}.txt'.format(nics[0]['config']['cidr'][:-3], file_name) response = self.core0_client.client.bash('wget %s' % url).get() self.assertEqual(response.state, "SUCCESS", response.stderr) response = self.core0_client.client.bash('ls | grep {}.txt'.format(file_name)).get() self.assertEqual(response.state, "SUCCESS", response.stderr) def test012_create_two_gateways_zerotierbridge(self): """ GAT-134 **Test Scenario:** #. Get random node (N0), should succeed. #. Create bridge(B0) with true nat, should succeed. #. Create zerotier network. #. Create two Gws (Gw1)(Gw2) and link them with zerotier bridge. #. Create (C1),(C2) containers for each Gw . #. Verify that each created 'GW containers' hosts can reach each others. """ self.lg.info(" [*] Create zerotier network.") nwid = self.create_zerotier_network(default_config=False) bridge_name = self.random_string() self.lg.info(" [*] Create two Gws and link them with zerotier bridge.") nics_type = [ { 'type': 'bridge', 'gateway': True, 'dhcp': False, 'bridge_name': bridge_name, 'zerotierbridge': False }, { 'type': random.choice(['vlan', 'vxlan']), 'gateway': False, 'dhcp': True, 'bridge_name': '', 'zerotierbridge': nwid } ] nics = self.get_gateway_nic(nics_types=nics_type) c1_ip = nics[1]["dhcpserver"]["hosts"][0]["ipaddress"] self.lg.info(' [*] Create bridge (B0) on node (N0), should succeed with 201') setting = {"cidr": nics[0]['config']['gateway'] + '/24'} response, self.bridge_data = self.bridges_api.post_nodes_bridges(self.nodeid, name=bridge_name, networkMode='static', nat=True, setting=setting) self.assertEqual(response.status_code, 201, response.content) self.response, self.data = self.gateways_api.post_nodes_gateway(node_id=self.nodeid, nics=nics) self.assertEqual(self.response.status_code, 201, self.response.content) self.lg.info(" [*] create (c1) containers for each Gw. ") c1_nics = [{'type': nics[1]['type'], 'id': nics[1]['id'], "hwaddr": nics[1]["dhcpserver"]["hosts"][0]["macaddress"], 'config': {"dhcp": True}}] response, self.container_data = self.containers_api.post_containers(nodeid=self.nodeid, nics=c1_nics) self.assertEqual(response.status_code, 201) c1_client = self.core0_client.get_container_client(self.container_data['name']) self.assertTrue(c1_client) bridge_name_2 = self.random_string() nics_type = [ { 'type': 'bridge', 'gateway': True, 'dhcp': False, 'bridge_name': bridge_name_2, 'zerotierbridge': False }, { 'type': random.choice(['vlan', 'vxlan']), 'gateway': False, 'dhcp': True, 'bridge_name': '', 'zerotierbridge': nwid } ] nics_2 = self.get_gateway_nic(nics_types=nics_type) nics_2[1]['config'] = nics[1]['config'] nics_2[1]['dhcpserver'] = nics[1]['dhcpserver'] c2_ip = nics_2[1]["dhcpserver"]["hosts"][1]["ipaddress"] self.lg.info(' [*] Create bridge (B0) on node (N0), should succeed with 201') setting = {"cidr": nics_2[0]['config']['gateway'] + '/24'} response, self.bridge_data = self.bridges_api.post_nodes_bridges(self.nodeid, name=bridge_name_2, networkMode='static', nat=True, setting=setting) self.assertEqual(response.status_code, 201, response.content) self.response, self.data = self.gateways_api.post_nodes_gateway(node_id=self.nodeid, nics=nics_2) self.assertEqual(self.response.status_code, 201, self.response.content) self.lg.info(" [*] create (c2) containers for each Gw. ") c2_nics = [{'type': nics[1]['type'], 'id': nics[1]['id'], "hwaddr": nics[1]["dhcpserver"]["hosts"][1]["macaddress"], 'config': {"dhcp": True}}] response, self.container_data = self.containers_api.post_containers(nodeid=self.nodeid, nics=c2_nics) self.assertEqual(response.status_code, 201) c2_client = self.core0_client.get_container_client(self.container_data['name']) self.assertTrue(c2_client) response = c1_client.bash('ping -c 5 %s' % c2_ip).get() self.assertEqual(response.state, 'SUCCESS') self.assertNotIn("unreachable", response.stdout) response = c2_client.bash('ping -c 5 %s' % c1_ip).get() self.assertEqual(response.state, 'SUCCESS') self.assertNotIn("unreachable", response.stdout) class TestGatewayAPIUpdate(TestcasesBase): def setUp(self): super().setUp() nics_type = [ { 'type': random.choice(['vlan', 'vxlan']), 'gateway': True, 'dhcp': False, 'bridge_name': '', 'zerotierbridge': False }, { 'type': random.choice(['vlan', 'vxlan']), 'gateway': False, 'dhcp': True, 'bridge_name': '', 'zerotierbridge': False } ] self.nics = self.get_gateway_nic(nics_types=nics_type) self.core0_client.create_ovs_container() self.response, self.data = self.gateways_api.post_nodes_gateway(self.nodeid, nics=self.nics) self.assertEqual(self.response.status_code, 201) self.gw_name = self.data['name'] self.gw_domain = self.data['domain'] def tearDown(self): self.lg.info(' [*] Delete all node {} gateways'.format(self.nodeid)) if 'data' in self.__dict__.keys(): self.gateways_api.delete_nodes_gateway(self.nodeid, self.gw_name) super().tearDown() def test001_list_gateways(self): """ GAT-098 **Test Scenario:** #. Get random node (N0), should succeed. #. Create gateway (GW0) on node (N0), should succeed. #. List all node (N0) gateways, (GW0) should be listed. """ self.lg.info(' [*] List node (N0) gateways, (GW0) should be listed') response = self.gateways_api.list_nodes_gateways(self.nodeid) self.assertEqual(response.status_code, 200) self.assertIn(self.gw_name, [x['name'] for x in response.json()]) def test002_get_gateway_info(self): """ GAT-099 **Test Scenario:** #. Get random node (N0), should succeed. #. Create gateway (GW0) on node (N0), should succeed. #. Get gateway (GW0) info, should succeed. """ response = self.gateways_api.get_nodes_gateway(self.nodeid, self.gw_name) self.assertEqual(response.status_code, 200) def test003_delete_gateway(self): """ GAT-100 **Test Scenario:** #. Get random node (N0), should succeed. #. Create gateway (GW0) on node (N0), should succeed. #. Delete gateway (GW0), should succeed. #. List node (N0) gateways, (GW0) should not be listed. """ self.lg.info(' [*] Delete gateway (GW0), should succeed') response = self.gateways_api.delete_nodes_gateway(self.nodeid, self.gw_name) self.assertEqual(response.status_code, 204) self.lg.info(' [*] List node (N0) gateways, (GW0) should not be listed') response = self.gateways_api.list_nodes_gateways(self.nodeid) self.assertEqual(response.status_code, 200) self.assertNotIn(self.gw_name, [x['name'] for x in response.json()]) def test004_stop_gw(self): """ GAT-135 **Test Scenario:** #. Stop the running gatway #. Verify its status """ response = self.containers_api.get_containers(nodeid=self.nodeid) for container in response.json(): if self.gw_name == container['name']: self.assertEqual(container['status'], 'running') response = self.gateways_api.post_nodes_gateway_stop(nodeid=self.nodeid, gwname=self.gw_name) self.assertEqual(response.status_code, 204, response.content) response = self.containers_api.get_containers(nodeid=self.nodeid) for container in response.json(): if self.gw_name == container['name']: self.assertEqual(container['status'], 'halted') response = self.gateways_api.post_nodes_gateway_start(nodeid=self.nodeid, gwname=self.gw_name) self.assertEqual(response.status_code, 204, response.content) def test005_start_gw(self): """ GAT-136 **Test Scenario:** #. Stop the running gateway and make sure that its status has been changed #. Start the gateway #. Verify its status """ response = self.gateways_api.post_nodes_gateway_stop(nodeid=self.nodeid, gwname=self.gw_name) self.assertEqual(response.status_code, 204, response.content) response = self.containers_api.get_containers(nodeid=self.nodeid) for container in response.json(): if self.gw_name == container['name']: self.assertEqual(container['status'], 'halted') response = self.gateways_api.post_nodes_gateway_start(nodeid=self.nodeid, gwname=self.gw_name) self.assertEqual(response.status_code, 204, response.content) response = self.containers_api.get_containers(nodeid=self.nodeid) for container in response.json(): if self.gw_name == container['name']: self.assertEqual(container['status'], 'running') def test006_update_gw_nics_config(self): """ GAT-137 **Test Scenario:** #. Use put method to update the nics config for the gw #. List the gw and make sure that its nics config have been updated """ nics = list(self.nics) nics[0]['config']['cidr'] = "192.168.10.10/24" nics[0]['config']['gateway'] = "192.168.10.1" nics[1]['config']['cidr'] = "192.168.20.2/24" del nics[1]['dhcpserver'] data = dict(self.data) data['nics'] = nics self.lg.info(' [*] Use put method to update the nics config for the gw') response = self.gateways_api.update_nodes_gateway(self.nodeid, self.gw_name, data) self.assertEqual(response.status_code, 204) self.lg.info(' [*] List the gw and make sure that its nics config have been updated') response = self.gateways_api.get_nodes_gateway(self.nodeid, self.gw_name) self.assertEqual(response.status_code, 200) self.assertEqual(nics, response.json()['nics']) def test007_update_gw_portforwards_config(self): """ GAT-138 **Test Scenario:** #. Use put method to update the portforwards config for the gw #. List the gw and make sure that its portforwards config have been updated """ self.data['portforwards'] = [ { "protocols": ['udp', 'tcp'], "srcport": random.randint(100, 1000), "srcip": "192.168.1.1", "dstport": random.randint(100, 1000), "dstip": "192.168.2.100" } ] del self.data['name'] self.lg.info(' [*] Use put method to update the portforwards config for the gw') response = self.gateways_api.update_nodes_gateway(self.nodeid, self.gw_name, self.data) self.assertEqual(response.status_code, 204) self.lg.info(' [*] List the gw and make sure that its portforwards config have been updated') response = self.gateways_api.get_nodes_gateway(self.nodeid, self.gw_name) self.assertEqual(response.status_code, 200) self.assertEqual(self.data['portforwards'], response.json()['portforwards']) def test008_update_gw_dhcpserver_config(self): """ GAT-139 **Test Scenario:** #. Use put method to update the dhcpserver config for the gw #. List the gw and make sure that its dhcpserver config have been updated """ self.data['nics'][1]['dhcpserver'] = { "nameservers": ["8.8.8.8"], "hosts": [ { "macaddress": self.randomMAC(), "hostname": self.random_string(), "ipaddress": self.data['nics'][1]['config']['cidr'][:-4] + '10' } ] } del self.data['name'] self.lg.info(' [*] Use put method to update the dhcpserver config for the gw') response = self.gateways_api.update_nodes_gateway(self.nodeid, self.gw_name, self.data) self.assertEqual(response.status_code, 204, response.content) self.lg.info(' [*] List the gw and make sure that its dhcpserver config have been updated') response = self.gateways_api.get_nodes_gateway(self.nodeid, self.gw_name) self.assertEqual(response.status_code, 200) self.assertEqual(self.data['nics'][1]['dhcpserver'], response.json()['nics'][1]['dhcpserver']) def test009_update_gw_httpproxies_config(self): """ GAT-140 **Test Scenario:** #. Use put method to update the dhcpserver config for the gw #. List the gw and make sure that its httpproxies config have been updated """ self.data['httpproxies'] = [ { "host": self.random_string(), "destinations": ["192.168.200.10:1101"], "types": ['https', 'http'] } ] del self.data['name'] self.lg.info(' [*] Use put method to update the dhcpserver config for the gw') response = self.gateways_api.update_nodes_gateway(self.nodeid, self.gw_name, self.data) self.assertEqual(response.status_code, 204) self.lg.info(' [*] List the gw and make sure that its dhcpserver config have been updated') response = self.gateways_api.get_nodes_gateway(self.nodeid, self.gw_name) self.assertEqual(response.status_code, 200) self.assertEqual(self.data['httpproxies'], response.json()['httpproxies']) def test010_create_list_portforward(self): """ GAT-114 **Test Scenario:** #. Create new portforward table using firewall/forwards api #. Verify it is working right """ body = { "protocols": ['udp', 'tcp'], "srcport": random.randint(1, 2000), "srcip": "192.168.1.1", "dstport": random.randint(1, 2000), "dstip": "192.168.2.5" } self.lg.info(' [*] Create new portforward table using firewall/forwards api') response = self.gateways_api.post_nodes_gateway_forwards(self.nodeid, self.gw_name, body) self.assertEqual(response.status_code, 201, response.content) self.lg.info(' [*] Verify it is working right') response = self.gateways_api.list_nodes_gateway_forwards(self.nodeid, self.gw_name) self.assertEqual(response.status_code, 200) self.assertIn(body, response.json()) def test012_delete_portforward(self): """ GAT-115 **Test Scenario:** #. Create new portforward table using firewall/forwards api #. List portfowards table #. Delete this portforward config #. List portforwards and verify that it has been deleted """ body = { "protocols": ['udp', 'tcp'], "srcport": random.randint(1, 2000), "srcip": "192.168.1.1", "dstport": random.randint(1, 2000), "dstip": "192.168.2.5" } self.lg.info(' [*] Create new portforward table using firewall/forwards api') response = self.gateways_api.post_nodes_gateway_forwards(self.nodeid, self.gw_name, body) self.assertEqual(response.status_code, 201, response.content) self.lg.info(' [*] List portfowards table') response = self.gateways_api.list_nodes_gateway_forwards(self.nodeid, self.gw_name) self.assertEqual(response.status_code, 200) self.assertIn(body, response.json()) self.lg.info(' [*] Delete this portforward config') forwardid = '{}:{}'.format(body['srcip'], body['srcport']) response = self.gateways_api.delete_nodes_gateway_forward(self.nodeid, self.gw_name, forwardid) self.assertEqual(response.status_code, 204) self.lg.info(' [*] List portfowards table') response = self.gateways_api.list_nodes_gateway_forwards(self.nodeid, self.gw_name) self.assertEqual(response.status_code, 200) self.assertNotIn(body, response.json()) def test013_add_dhcp_host(self): """ GAT-116 **Test Scenario:** #. Add new dhcp host to an interface #. List dhcp hosts #. Verify that is the list has the config """ self.lg.info(' [*] Add new dhcp host to an interface') interface = [x for x in self.nics if x.get('dhcpserver')][0]['name'] hostname = self.random_string() macaddress = self.randomMAC() ipaddress = '192.168.2.3' body = { "hostname": hostname, "macaddress": macaddress, "ipaddress": ipaddress } response = self.gateways_api.post_nodes_gateway_dhcp_host(self.nodeid, self.gw_name, interface, body) self.assertEqual(response.status_code, 204) self.lg.info(' [*] List dhcp hosts') response = self.gateways_api.list_nodes_gateway_dhcp_hosts(self.nodeid, self.gw_name, interface) self.assertEqual(response.status_code, 200) self.lg.info(' [*] Verify that is the list has the config') dhcp_host = [x for x in response.json() if x['hostname'] == hostname] self.assertNotEqual(dhcp_host, []) for key in body.keys(): self.assertTrue(body[key], dhcp_host[0][key]) def test014_delete_dhcp_host(self): """ GAT-117 **Test Scenario:** #. Add new dhcp host to an interface #. List dhcp hosts #. Delete one host form the dhcp #. List dhcp hosts #. Verify that the dhcp has been updated """ self.lg.info(' [*] Add new dhcp host to an interface') interface = [x for x in self.nics if x.get('dhcpserver')][0]['name'] hostname = self.random_string() macaddress = self.randomMAC() ipaddress = '192.168.2.3' body = { "hostname": hostname, "macaddress": macaddress, "ipaddress": ipaddress } response = self.gateways_api.post_nodes_gateway_dhcp_host(self.nodeid, self.gw_name, interface, body) self.assertEqual(response.status_code, 204) self.lg.info(' [*] Delete one host form the dhcp') response = self.gateways_api.delete_nodes_gateway_dhcp_host(self.nodeid, self.gw_name, interface, macaddress) self.assertEqual(response.status_code, 204) self.lg.info(' [*] List dhcp hosts') response = self.gateways_api.list_nodes_gateway_dhcp_hosts(self.nodeid, self.gw_name, interface) self.assertEqual(response.status_code, 200) self.lg.info(' [*] Verify that the dhcp has been updated') dhcp_host = [x for x in response.json() if x['hostname'] == hostname] self.assertEqual(dhcp_host, []) def test015_create_new_httpproxy(self): """ GAT-118 **Test Scenario:** #. Create new httpproxy #. List httpproxy config #. Verify that is the list has the config """ self.lg.info(' [*] Add new httpproxy host to an interface') body = { "host": self.random_string(), "destinations": ['http://192.168.2.200:5000'], "types": ['http', 'https'] } response = self.gateways_api.post_nodes_gateway_httpproxy(self.nodeid, self.gw_name, body) self.assertEqual(response.status_code, 201) self.lg.info(' [*] List dhcp httpproxy') response = self.gateways_api.list_nodes_gateway_httpproxies(self.nodeid, self.gw_name) self.assertEqual(response.status_code, 200) self.lg.info(' [*] Verify that is the list has the config') httpproxy_host = [x for x in response.json() if x['host'] == body['host']] self.assertNotEqual(httpproxy_host, []) for key in body.keys(): self.assertTrue(body[key], httpproxy_host[0][key]) def test016_delete_httpproxyid(self): """ GAT-119 **Test Scenario:** #. Create new httpproxy #. Delete httpproxy id #. List dhcp hosts #. Verify that the dhcp has been updated """ self.lg.info(' [*] Create new httpproxy') body = { "host": self.random_string(), "destinations": ['http://192.168.2.200:500'], "types": ['http', 'https'] } response = self.gateways_api.post_nodes_gateway_httpproxy(self.nodeid, self.gw_name, body) self.assertEqual(response.status_code, 201) self.lg.info(' [*] Delete httpproxy id') proxyid = body['host'] response = self.gateways_api.delete_nodes_gateway_httpproxy(self.nodeid, self.gw_name, proxyid) self.assertEqual(response.status_code, 204) self.lg.info(' [*] List httpproxies') response = self.gateways_api.list_nodes_gateway_httpproxies(self.nodeid, self.gw_name) self.assertEqual(response.status_code, 200) self.lg.info(' [*] Verify that the httpproxies has been updated') httpproxy_host = [x for x in response.json() if x['host'] == body['host']] self.assertEqual(httpproxy_host, [])

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82d40ca1a2c86f006226841e20f606a6401c0d57

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py

Python

challenge_13/python/alexbotello/src/tests.py

rchicoli/2017-challenges

44f0b672e5dea34de1dde131b6df837d462f8e29

[ "Apache-2.0" ]

271

2017-01-01T22:58:36.000Z

2021-11-28T23:05:29.000Z

challenge_13/python/alexbotello/src/tests.py

AakashOfficial/2017Challenges

a8f556f1d5b43c099a0394384c8bc2d826f9d287

[ "Apache-2.0" ]

283

2017-01-01T23:26:05.000Z

2018-03-23T00:48:55.000Z

challenge_13/python/alexbotello/src/tests.py

AakashOfficial/2017Challenges

a8f556f1d5b43c099a0394384c8bc2d826f9d287

[ "Apache-2.0" ]

311

2017-01-01T22:59:23.000Z

2021-09-23T00:29:12.000Z

import unittest from palin import is_palindrome class Tests(unittest.TestCase): def test_1(self): self.assertEqual(is_palindrome(1112111), True) def test_2(self): self.assertEqual(is_palindrome(1), True) def test_3(self): self.assertEqual(is_palindrome(59112), False) def test_4(self): self.assertEqual(is_palindrome(1234554321), True) def test_5(self): self.assertEqual(is_palindrome(22), True) def test_6(self): self.assertEqual(is_palindrome(1010100101), False) def test_7(self): self.assertEqual(is_palindrome(1010110101), True) if __name__ == '__main__': unittest.main()

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82db9c4cdd36fdf50f91862e358ea23b6461f87c

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py

Python

src/visitpy/pyavt/py_src/__init__.py

eddieTest/visit

ae7bf6f5f16b01cf6b672d34e2d293fa7170616b

[ "BSD-3-Clause" ]

null

src/visitpy/pyavt/py_src/__init__.py

eddieTest/visit

ae7bf6f5f16b01cf6b672d34e2d293fa7170616b

[ "BSD-3-Clause" ]

null

src/visitpy/pyavt/py_src/__init__.py

eddieTest/visit

ae7bf6f5f16b01cf6b672d34e2d293fa7170616b

[ "BSD-3-Clause" ]

1

2020-03-18T23:17:43.000Z

############################################################################### # Program: pyavt/src/__init__.py # # Purpose: Module init for the pyavt module. # # Programmer: Cyrus Harrison # Creation: Tue Mar 10 13:33:13 PDT 2009 # ############################################################################### import filters

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261

py

Python

dsne/tests/test_import.py

songtingstone/DSNE

edb173ba4eabdb599641fd253c8ee58b4c4b8eb4

[ "Apache-2.0" ]

1

2021-04-06T10:57:15.000Z

dsne/tests/test_import.py

songtingstone/dsne

edb173ba4eabdb599641fd253c8ee58b4c4b8eb4

[ "Apache-2.0" ]

null

dsne/tests/test_import.py

songtingstone/dsne

edb173ba4eabdb599641fd253c8ee58b4c4b8eb4

[ "Apache-2.0" ]

null

def test_import(): import dsne assert dsne.__version__ is not None assert dsne.__version__ != "0.0.0" assert len(dsne.__version__) > 0 def test_import_st_dsne(): from dsne import DSNE # noqa from dsne import DSNE_approximate # noqa

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py

Python

app/api/api/security_evaluations_id_output_inspect.py

maurapintor/pandavision

58869fcec97a59e77fac4d1ba25677e292c6d377

[ "MIT" ]

9

2021-11-08T10:52:34.000Z

2022-02-10T09:25:53.000Z

app/api/api/security_evaluations_id_output_inspect.py

maurapintor/pandavision

58869fcec97a59e77fac4d1ba25677e292c6d377

[ "MIT" ]

12

2021-11-02T13:37:39.000Z

2021-12-09T08:31:19.000Z

app/api/api/security_evaluations_id_output_inspect.py

maurapintor/pandavision

58869fcec97a59e77fac4d1ba25677e292c6d377

[ "MIT" ]

2

2021-11-10T08:58:58.000Z

2021-11-15T18:07:47.000Z

import io import logging from base64 import b64encode import numpy as np from PIL import Image from flask import abort from flask_restful import Resource from rq.job import Job from app.worker import conn class SecurityEvaluationsIdOutputInspectSample(Resource): def get(self, id, sample_idx): try: job = Job.fetch(id, connection=conn) except: logging.log(logging.INFO, "GET /security_evaluations/{}/output/inspect failed. Job ID not found.".format(id)) abort(404, "Job ID not found.") return # TODO implement 410 GONE status code, should be returned if the job finished # todo but the result ttl has expired if job.is_finished: result = job.result loss_curve = result.get('attack_losses') distance_curve = result.get('attack_distances') sample_idx = int(sample_idx) return { 'attack_losses': loss_curve[sample_idx], 'attack_distances': distance_curve[sample_idx], 'epsilon_vals': result.get('sec-curve').get('x-values'), 'num_samples': len(loss_curve) } else: # redirect to job status API return "Temporary redirect. Job not finished yet.", \ 307, {'Location': 'security_evaluations/{}'.format(id)} class SecurityEvaluationsIdOutputInspect(Resource): def get(self, id): try: job = Job.fetch(id, connection=conn) except: logging.log(logging.INFO, "GET /security_evaluations/{}/output/inspect failed. Job ID not found.".format(id)) abort(404, "Job ID not found.") return # TODO implement 410 GONE status code, should be returned if the job finished # todo but the result ttl has expired if job.is_finished: result = job.result epsilon_values = result.get('sec-curve').get('x-values') num_samples = len(result.get('attack_losses')) return {'epsilon_values': epsilon_values[1:], 'num_samples': list(range(num_samples))} else: # redirect to job status API return "Temporary redirect. Job not finished yet.", \ 307, {'Location': 'security_evaluations/{}'.format(id)} class SecurityEvaluationsIdOutputInspectSampleImgType(Resource): def get(self, id, sample_idx, img_type): try: job = Job.fetch(id, connection=conn) except: logging.log(logging.INFO, "GET /security_evaluations/{}/output/inspect failed. Job ID not found.".format(id)) abort(404, "Job ID not found.") return # TODO implement 410 GONE status code, should be returned if the job finished # todo but the result ttl has expired if job.is_finished: result = job.result if img_type == 'diff': img = np.array(result.get('adv_examples')) - np.array(result.get('orig_samples')) img -= img.min() img /= img.max() else: img = np.array(result.get(img_type)) file_object = io.BytesIO() sample_idx = int(sample_idx) image = img[sample_idx, ...].transpose(1, 2, 0) img = Image.fromarray((image*255).astype(np.uint8)) img.save(file_object, 'PNG') base64img = "data:image/png;base64," + b64encode(file_object.getvalue()).decode('ascii') return base64img else: # redirect to job status API return "Temporary redirect. Job not finished yet.", \ 307, {'Location': 'security_evaluations/{}'.format(id)} class SecurityEvaluationsIdOutputInspectSampleOrig(Resource): def get(self, id, sample_idx): try: job = Job.fetch(id, connection=conn) except: logging.log(logging.INFO, "GET /security_evaluations/{}/output/inspect failed. Job ID not found.".format(id)) abort(404, "Job ID not found.") return # TODO implement 410 GONE status code, should be returned if the job finished # todo but the result ttl has expired if job.is_finished: result = job.result file_object = io.BytesIO() sample_idx = int(sample_idx) image = np.array(result.get('orig_samples'))[sample_idx, ...].transpose(1, 2, 0) img = Image.fromarray((image*255).astype(np.uint8)) img.save(file_object, 'PNG') base64img = "data:image/png;base64," + b64encode(file_object.getvalue()).decode('ascii') return base64img else: # redirect to job status API return "Temporary redirect. Job not finished yet.", \ 307, {'Location': 'security_evaluations/{}'.format(id)}

39.880952

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0.581493

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0.204188

0.040823

0.022331

0.036288

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0.742498

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0.713538

0

0.020616

0.314627

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39.880952

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0.110448

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0

null

0

1

0

null

0

5

81780c4bfa051c1fdfef6ba2cec2f47772c92299

1,090

py

Python

coala/core/views.py

eduardagoulart/contandolibras

0bf1ca2cd5f202a894abb1b9119fd4affb6eee83

[ "MIT" ]

null

coala/core/views.py

eduardagoulart/contandolibras

0bf1ca2cd5f202a894abb1b9119fd4affb6eee83

[ "MIT" ]

null

coala/core/views.py

eduardagoulart/contandolibras

0bf1ca2cd5f202a894abb1b9119fd4affb6eee83

[ "MIT" ]

null

from django.shortcuts import render, redirect from .forms import SubscriptionForm from django.templatetags.static import static def home(request): return render(request, 'core/index.html') def contato(request): if request.method == "POST": form = SubscriptionForm(request.POST) if form.is_valid(): post = form.save(commit=False) post.author = request.user post.save() return redirect('success') else: form = SubscriptionForm() context = {'form': form} return render(request, 'core/contato.html', context) def contos(request): return render(request, 'core/contos.html') def jogos(request): return render(request, 'core/jogos.html') def memoria(request): images = [ {'src': static('img/%s.gif' % str(i)), 'id': i % 8} for i in range(0, 16) ] return render(request, 'core/memoria.html', {'images': images}) def desenhos(request): return render(request, 'core/desenhos.html') def success(request): return render(request, 'core/success.html')

23.191489

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1,090

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0.191092

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1,090

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0.580645

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null

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1

0

null

0

1

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1

0

5

c48c590f843eade588679e34cff5ec555c817823

26,742

py

Python

packages/python/plotly/plotly/graph_objs/layout/yaxis/_minor.py

labaran1/plotly.py

7ec751e8fed4a570c11ea4bea2231806389d62eb

[ "MIT" ]

null

packages/python/plotly/plotly/graph_objs/layout/yaxis/_minor.py

labaran1/plotly.py

7ec751e8fed4a570c11ea4bea2231806389d62eb

[ "MIT" ]

null

packages/python/plotly/plotly/graph_objs/layout/yaxis/_minor.py

labaran1/plotly.py

7ec751e8fed4a570c11ea4bea2231806389d62eb

[ "MIT" ]

null

from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType import copy as _copy class Minor(_BaseLayoutHierarchyType): # class properties # -------------------- _parent_path_str = "layout.yaxis" _path_str = "layout.yaxis.minor" _valid_props = { "dtick", "gridcolor", "griddash", "gridwidth", "nticks", "showgrid", "tick0", "tickcolor", "ticklen", "tickmode", "ticks", "tickvals", "tickvalssrc", "tickwidth", } # dtick # ----- @property def dtick(self): """ Sets the step in-between ticks on this axis. Use with `tick0`. Must be a positive number, or special strings available to "log" and "date" axes. If the axis `type` is "log", then ticks are set every 10^(n*dtick) where n is the tick number. For example, to set a tick mark at 1, 10, 100, 1000, ... set dtick to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2. To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to log_10(5), or 0.69897000433. "log" has several special values; "L<f>", where `f` is a positive number, gives ticks linearly spaced in value (but not position). For example `tick0` = 0.1, `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus small digits between, use "D1" (all digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and "D2". If the axis `type` is "date", then you must convert the time to milliseconds. For example, to set the interval between ticks to one day, set `dtick` to 86400000.0. "date" also has special values "M<n>" gives ticks spaced by a number of months. `n` must be a positive integer. To set ticks on the 15th of every third month, set `tick0` to "2000-01-15" and `dtick` to "M3". To set ticks every 4 years, set `dtick` to "M48" The 'dtick' property accepts values of any type Returns ------- Any """ return self["dtick"] @dtick.setter def dtick(self, val): self["dtick"] = val # gridcolor # --------- @property def gridcolor(self): """ Sets the color of the grid lines. The 'gridcolor' property is a color and may be specified as: - A hex string (e.g. '#ff0000') - An rgb/rgba string (e.g. 'rgb(255,0,0)') - An hsl/hsla string (e.g. 'hsl(0,100%,50%)') - An hsv/hsva string (e.g. 'hsv(0,100%,100%)') - A named CSS color: aliceblue, antiquewhite, aqua, aquamarine, azure, beige, bisque, black, blanchedalmond, blue, blueviolet, brown, burlywood, cadetblue, chartreuse, chocolate, coral, cornflowerblue, cornsilk, crimson, cyan, darkblue, darkcyan, darkgoldenrod, darkgray, darkgrey, darkgreen, darkkhaki, darkmagenta, darkolivegreen, darkorange, darkorchid, darkred, darksalmon, darkseagreen, darkslateblue, darkslategray, darkslategrey, darkturquoise, darkviolet, deeppink, deepskyblue, dimgray, dimgrey, dodgerblue, firebrick, floralwhite, forestgreen, fuchsia, gainsboro, ghostwhite, gold, goldenrod, gray, grey, green, greenyellow, honeydew, hotpink, indianred, indigo, ivory, khaki, lavender, lavenderblush, lawngreen, lemonchiffon, lightblue, lightcoral, lightcyan, lightgoldenrodyellow, lightgray, lightgrey, lightgreen, lightpink, lightsalmon, lightseagreen, lightskyblue, lightslategray, lightslategrey, lightsteelblue, lightyellow, lime, limegreen, linen, magenta, maroon, mediumaquamarine, mediumblue, mediumorchid, mediumpurple, mediumseagreen, mediumslateblue, mediumspringgreen, mediumturquoise, mediumvioletred, midnightblue, mintcream, mistyrose, moccasin, navajowhite, navy, oldlace, olive, olivedrab, orange, orangered, orchid, palegoldenrod, palegreen, paleturquoise, palevioletred, papayawhip, peachpuff, peru, pink, plum, powderblue, purple, red, rosybrown, royalblue, rebeccapurple, saddlebrown, salmon, sandybrown, seagreen, seashell, sienna, silver, skyblue, slateblue, slategray, slategrey, snow, springgreen, steelblue, tan, teal, thistle, tomato, turquoise, violet, wheat, white, whitesmoke, yellow, yellowgreen Returns ------- str """ return self["gridcolor"] @gridcolor.setter def gridcolor(self, val): self["gridcolor"] = val # griddash # -------- @property def griddash(self): """ Sets the dash style of lines. Set to a dash type string ("solid", "dot", "dash", "longdash", "dashdot", or "longdashdot") or a dash length list in px (eg "5px,10px,2px,2px"). The 'griddash' property is an enumeration that may be specified as: - One of the following dash styles: ['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'] - A string containing a dash length list in pixels or percentages (e.g. '5px 10px 2px 2px', '5, 10, 2, 2', '10% 20% 40%', etc.) Returns ------- str """ return self["griddash"] @griddash.setter def griddash(self, val): self["griddash"] = val # gridwidth # --------- @property def gridwidth(self): """ Sets the width (in px) of the grid lines. The 'gridwidth' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float """ return self["gridwidth"] @gridwidth.setter def gridwidth(self, val): self["gridwidth"] = val # nticks # ------ @property def nticks(self): """ Specifies the maximum number of ticks for the particular axis. The actual number of ticks will be chosen automatically to be less than or equal to `nticks`. Has an effect only if `tickmode` is set to "auto". The 'nticks' property is a integer and may be specified as: - An int (or float that will be cast to an int) in the interval [0, 9223372036854775807] Returns ------- int """ return self["nticks"] @nticks.setter def nticks(self, val): self["nticks"] = val # showgrid # -------- @property def showgrid(self): """ Determines whether or not grid lines are drawn. If True, the grid lines are drawn at every tick mark. The 'showgrid' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["showgrid"] @showgrid.setter def showgrid(self, val): self["showgrid"] = val # tick0 # ----- @property def tick0(self): """ Sets the placement of the first tick on this axis. Use with `dtick`. If the axis `type` is "log", then you must take the log of your starting tick (e.g. to set the starting tick to 100, set the `tick0` to 2) except when `dtick`=*L<f>* (see `dtick` for more info). If the axis `type` is "date", it should be a date string, like date data. If the axis `type` is "category", it should be a number, using the scale where each category is assigned a serial number from zero in the order it appears. The 'tick0' property accepts values of any type Returns ------- Any """ return self["tick0"] @tick0.setter def tick0(self, val): self["tick0"] = val # tickcolor # --------- @property def tickcolor(self): """ Sets the tick color. The 'tickcolor' property is a color and may be specified as: - A hex string (e.g. '#ff0000') - An rgb/rgba string (e.g. 'rgb(255,0,0)') - An hsl/hsla string (e.g. 'hsl(0,100%,50%)') - An hsv/hsva string (e.g. 'hsv(0,100%,100%)') - A named CSS color: aliceblue, antiquewhite, aqua, aquamarine, azure, beige, bisque, black, blanchedalmond, blue, blueviolet, brown, burlywood, cadetblue, chartreuse, chocolate, coral, cornflowerblue, cornsilk, crimson, cyan, darkblue, darkcyan, darkgoldenrod, darkgray, darkgrey, darkgreen, darkkhaki, darkmagenta, darkolivegreen, darkorange, darkorchid, darkred, darksalmon, darkseagreen, darkslateblue, darkslategray, darkslategrey, darkturquoise, darkviolet, deeppink, deepskyblue, dimgray, dimgrey, dodgerblue, firebrick, floralwhite, forestgreen, fuchsia, gainsboro, ghostwhite, gold, goldenrod, gray, grey, green, greenyellow, honeydew, hotpink, indianred, indigo, ivory, khaki, lavender, lavenderblush, lawngreen, lemonchiffon, lightblue, lightcoral, lightcyan, lightgoldenrodyellow, lightgray, lightgrey, lightgreen, lightpink, lightsalmon, lightseagreen, lightskyblue, lightslategray, lightslategrey, lightsteelblue, lightyellow, lime, limegreen, linen, magenta, maroon, mediumaquamarine, mediumblue, mediumorchid, mediumpurple, mediumseagreen, mediumslateblue, mediumspringgreen, mediumturquoise, mediumvioletred, midnightblue, mintcream, mistyrose, moccasin, navajowhite, navy, oldlace, olive, olivedrab, orange, orangered, orchid, palegoldenrod, palegreen, paleturquoise, palevioletred, papayawhip, peachpuff, peru, pink, plum, powderblue, purple, red, rosybrown, royalblue, rebeccapurple, saddlebrown, salmon, sandybrown, seagreen, seashell, sienna, silver, skyblue, slateblue, slategray, slategrey, snow, springgreen, steelblue, tan, teal, thistle, tomato, turquoise, violet, wheat, white, whitesmoke, yellow, yellowgreen Returns ------- str """ return self["tickcolor"] @tickcolor.setter def tickcolor(self, val): self["tickcolor"] = val # ticklen # ------- @property def ticklen(self): """ Sets the tick length (in px). The 'ticklen' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float """ return self["ticklen"] @ticklen.setter def ticklen(self, val): self["ticklen"] = val # tickmode # -------- @property def tickmode(self): """ Sets the tick mode for this axis. If "auto", the number of ticks is set via `nticks`. If "linear", the placement of the ticks is determined by a starting position `tick0` and a tick step `dtick` ("linear" is the default value if `tick0` and `dtick` are provided). If "array", the placement of the ticks is set via `tickvals` and the tick text is `ticktext`. ("array" is the default value if `tickvals` is provided). The 'tickmode' property is an enumeration that may be specified as: - One of the following enumeration values: ['auto', 'linear', 'array'] Returns ------- Any """ return self["tickmode"] @tickmode.setter def tickmode(self, val): self["tickmode"] = val # ticks # ----- @property def ticks(self): """ Determines whether ticks are drawn or not. If "", this axis' ticks are not drawn. If "outside" ("inside"), this axis' are drawn outside (inside) the axis lines. The 'ticks' property is an enumeration that may be specified as: - One of the following enumeration values: ['outside', 'inside', ''] Returns ------- Any """ return self["ticks"] @ticks.setter def ticks(self, val): self["ticks"] = val # tickvals # -------- @property def tickvals(self): """ Sets the values at which ticks on this axis appear. Only has an effect if `tickmode` is set to "array". Used with `ticktext`. The 'tickvals' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["tickvals"] @tickvals.setter def tickvals(self, val): self["tickvals"] = val # tickvalssrc # ----------- @property def tickvalssrc(self): """ Sets the source reference on Chart Studio Cloud for `tickvals`. The 'tickvalssrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["tickvalssrc"] @tickvalssrc.setter def tickvalssrc(self, val): self["tickvalssrc"] = val # tickwidth # --------- @property def tickwidth(self): """ Sets the tick width (in px). The 'tickwidth' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float """ return self["tickwidth"] @tickwidth.setter def tickwidth(self, val): self["tickwidth"] = val # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ dtick Sets the step in-between ticks on this axis. Use with `tick0`. Must be a positive number, or special strings available to "log" and "date" axes. If the axis `type` is "log", then ticks are set every 10^(n*dtick) where n is the tick number. For example, to set a tick mark at 1, 10, 100, 1000, ... set dtick to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2. To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to log_10(5), or 0.69897000433. "log" has several special values; "L<f>", where `f` is a positive number, gives ticks linearly spaced in value (but not position). For example `tick0` = 0.1, `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus small digits between, use "D1" (all digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and "D2". If the axis `type` is "date", then you must convert the time to milliseconds. For example, to set the interval between ticks to one day, set `dtick` to 86400000.0. "date" also has special values "M<n>" gives ticks spaced by a number of months. `n` must be a positive integer. To set ticks on the 15th of every third month, set `tick0` to "2000-01-15" and `dtick` to "M3". To set ticks every 4 years, set `dtick` to "M48" gridcolor Sets the color of the grid lines. griddash Sets the dash style of lines. Set to a dash type string ("solid", "dot", "dash", "longdash", "dashdot", or "longdashdot") or a dash length list in px (eg "5px,10px,2px,2px"). gridwidth Sets the width (in px) of the grid lines. nticks Specifies the maximum number of ticks for the particular axis. The actual number of ticks will be chosen automatically to be less than or equal to `nticks`. Has an effect only if `tickmode` is set to "auto". showgrid Determines whether or not grid lines are drawn. If True, the grid lines are drawn at every tick mark. tick0 Sets the placement of the first tick on this axis. Use with `dtick`. If the axis `type` is "log", then you must take the log of your starting tick (e.g. to set the starting tick to 100, set the `tick0` to 2) except when `dtick`=*L<f>* (see `dtick` for more info). If the axis `type` is "date", it should be a date string, like date data. If the axis `type` is "category", it should be a number, using the scale where each category is assigned a serial number from zero in the order it appears. tickcolor Sets the tick color. ticklen Sets the tick length (in px). tickmode Sets the tick mode for this axis. If "auto", the number of ticks is set via `nticks`. If "linear", the placement of the ticks is determined by a starting position `tick0` and a tick step `dtick` ("linear" is the default value if `tick0` and `dtick` are provided). If "array", the placement of the ticks is set via `tickvals` and the tick text is `ticktext`. ("array" is the default value if `tickvals` is provided). ticks Determines whether ticks are drawn or not. If "", this axis' ticks are not drawn. If "outside" ("inside"), this axis' are drawn outside (inside) the axis lines. tickvals Sets the values at which ticks on this axis appear. Only has an effect if `tickmode` is set to "array". Used with `ticktext`. tickvalssrc Sets the source reference on Chart Studio Cloud for `tickvals`. tickwidth Sets the tick width (in px). """ def __init__( self, arg=None, dtick=None, gridcolor=None, griddash=None, gridwidth=None, nticks=None, showgrid=None, tick0=None, tickcolor=None, ticklen=None, tickmode=None, ticks=None, tickvals=None, tickvalssrc=None, tickwidth=None, **kwargs, ): """ Construct a new Minor object Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.layout.yaxis.Minor` dtick Sets the step in-between ticks on this axis. Use with `tick0`. Must be a positive number, or special strings available to "log" and "date" axes. If the axis `type` is "log", then ticks are set every 10^(n*dtick) where n is the tick number. For example, to set a tick mark at 1, 10, 100, 1000, ... set dtick to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2. To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to log_10(5), or 0.69897000433. "log" has several special values; "L<f>", where `f` is a positive number, gives ticks linearly spaced in value (but not position). For example `tick0` = 0.1, `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus small digits between, use "D1" (all digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and "D2". If the axis `type` is "date", then you must convert the time to milliseconds. For example, to set the interval between ticks to one day, set `dtick` to 86400000.0. "date" also has special values "M<n>" gives ticks spaced by a number of months. `n` must be a positive integer. To set ticks on the 15th of every third month, set `tick0` to "2000-01-15" and `dtick` to "M3". To set ticks every 4 years, set `dtick` to "M48" gridcolor Sets the color of the grid lines. griddash Sets the dash style of lines. Set to a dash type string ("solid", "dot", "dash", "longdash", "dashdot", or "longdashdot") or a dash length list in px (eg "5px,10px,2px,2px"). gridwidth Sets the width (in px) of the grid lines. nticks Specifies the maximum number of ticks for the particular axis. The actual number of ticks will be chosen automatically to be less than or equal to `nticks`. Has an effect only if `tickmode` is set to "auto". showgrid Determines whether or not grid lines are drawn. If True, the grid lines are drawn at every tick mark. tick0 Sets the placement of the first tick on this axis. Use with `dtick`. If the axis `type` is "log", then you must take the log of your starting tick (e.g. to set the starting tick to 100, set the `tick0` to 2) except when `dtick`=*L<f>* (see `dtick` for more info). If the axis `type` is "date", it should be a date string, like date data. If the axis `type` is "category", it should be a number, using the scale where each category is assigned a serial number from zero in the order it appears. tickcolor Sets the tick color. ticklen Sets the tick length (in px). tickmode Sets the tick mode for this axis. If "auto", the number of ticks is set via `nticks`. If "linear", the placement of the ticks is determined by a starting position `tick0` and a tick step `dtick` ("linear" is the default value if `tick0` and `dtick` are provided). If "array", the placement of the ticks is set via `tickvals` and the tick text is `ticktext`. ("array" is the default value if `tickvals` is provided). ticks Determines whether ticks are drawn or not. If "", this axis' ticks are not drawn. If "outside" ("inside"), this axis' are drawn outside (inside) the axis lines. tickvals Sets the values at which ticks on this axis appear. Only has an effect if `tickmode` is set to "array". Used with `ticktext`. tickvalssrc Sets the source reference on Chart Studio Cloud for `tickvals`. tickwidth Sets the tick width (in px). Returns ------- Minor """ super(Minor, self).__init__("minor") if "_parent" in kwargs: self._parent = kwargs["_parent"] return # Validate arg # ------------ if arg is None: arg = {} elif isinstance(arg, self.__class__): arg = arg.to_plotly_json() elif isinstance(arg, dict): arg = _copy.copy(arg) else: raise ValueError( """\ The first argument to the plotly.graph_objs.layout.yaxis.Minor constructor must be a dict or an instance of :class:`plotly.graph_objs.layout.yaxis.Minor`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) self._validate = kwargs.pop("_validate", True) # Populate data dict with properties # ---------------------------------- _v = arg.pop("dtick", None) _v = dtick if dtick is not None else _v if _v is not None: self["dtick"] = _v _v = arg.pop("gridcolor", None) _v = gridcolor if gridcolor is not None else _v if _v is not None: self["gridcolor"] = _v _v = arg.pop("griddash", None) _v = griddash if griddash is not None else _v if _v is not None: self["griddash"] = _v _v = arg.pop("gridwidth", None) _v = gridwidth if gridwidth is not None else _v if _v is not None: self["gridwidth"] = _v _v = arg.pop("nticks", None) _v = nticks if nticks is not None else _v if _v is not None: self["nticks"] = _v _v = arg.pop("showgrid", None) _v = showgrid if showgrid is not None else _v if _v is not None: self["showgrid"] = _v _v = arg.pop("tick0", None) _v = tick0 if tick0 is not None else _v if _v is not None: self["tick0"] = _v _v = arg.pop("tickcolor", None) _v = tickcolor if tickcolor is not None else _v if _v is not None: self["tickcolor"] = _v _v = arg.pop("ticklen", None) _v = ticklen if ticklen is not None else _v if _v is not None: self["ticklen"] = _v _v = arg.pop("tickmode", None) _v = tickmode if tickmode is not None else _v if _v is not None: self["tickmode"] = _v _v = arg.pop("ticks", None) _v = ticks if ticks is not None else _v if _v is not None: self["ticks"] = _v _v = arg.pop("tickvals", None) _v = tickvals if tickvals is not None else _v if _v is not None: self["tickvals"] = _v _v = arg.pop("tickvalssrc", None) _v = tickvalssrc if tickvalssrc is not None else _v if _v is not None: self["tickvalssrc"] = _v _v = arg.pop("tickwidth", None) _v = tickwidth if tickwidth is not None else _v if _v is not None: self["tickwidth"] = _v # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False

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null

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1

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null

0

5

c4a3dfabddf483ac731b96b800cddbc7386067bf

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py

Python

Tutorial/Python Bootcamp/Src/Day #17/game.py

lzzzam/Python_Scripts

f35c1acef13642e444b50d21dc94d9de2ce5d322

[ "MIT" ]

null

Tutorial/Python Bootcamp/Src/Day #17/game.py

lzzzam/Python_Scripts

f35c1acef13642e444b50d21dc94d9de2ce5d322

[ "MIT" ]

null

Tutorial/Python Bootcamp/Src/Day #17/game.py

lzzzam/Python_Scripts

f35c1acef13642e444b50d21dc94d9de2ce5d322

[ "MIT" ]

null

import quiz game = quiz.game(quiz.questionTable) game.run()

15

36

0.766667

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5.111111

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null

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5

c4ac17540c5497d7d8b56bc072d5aef0ef1df9b7

65

py

Python

avalares/__init__.py

MatthewScholefield/avalares

8f80fb4c18fd02a1bbfa8cca1271ba4ceb5aafcc

[ "MIT" ]

null

avalares/__init__.py

MatthewScholefield/avalares

8f80fb4c18fd02a1bbfa8cca1271ba4ceb5aafcc

[ "MIT" ]

null

avalares/__init__.py

MatthewScholefield/avalares

8f80fb4c18fd02a1bbfa8cca1271ba4ceb5aafcc

[ "MIT" ]

null

from .utils import to_numpy, to_pandas from .parser import parse

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5

c4da91ef1fef47075ca6ca992d162f0abf131a91

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py

Python

authapp/admin.py

Roman-R2/gb-django-shop-opltimization

f99d5e81653ec4b50640476308380ec2984aa061

[ "MIT" ]

null

authapp/admin.py

Roman-R2/gb-django-shop-opltimization

f99d5e81653ec4b50640476308380ec2984aa061

[ "MIT" ]

null

authapp/admin.py

Roman-R2/gb-django-shop-opltimization

f99d5e81653ec4b50640476308380ec2984aa061

[ "MIT" ]

null

from django.contrib import admin from authapp.models import ShopUser admin.site.register(ShopUser)

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0

5

c4f3f5584d88e99c58d3ac166588d4ba659f2faf

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py

Python

pm4pymdl/objects/xoc/importer/versions/__init__.py

dorian1000/pm4py-mdl

71e0c2425abb183da293a58d31e25e50137c774f

[ "MIT" ]

5

2021-01-31T22:45:29.000Z

2022-02-22T14:26:06.000Z

pm4pymdl/objects/xoc/importer/versions/__init__.py

Javert899/pm4py-mdl

4cc875999100f3f1ad60b925a20e40cf52337757

[ "MIT" ]

3

2021-07-07T15:32:55.000Z

2021-07-07T16:15:36.000Z

pm4pymdl/objects/xoc/importer/versions/__init__.py

dorian1000/pm4py-mdl

71e0c2425abb183da293a58d31e25e50137c774f

[ "MIT" ]

9

2020-09-23T15:34:11.000Z

2022-03-17T09:15:40.000Z

from pm4pymdl.objects.xoc.importer.versions import classic

29.5

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f21648e0d316b66d0cd32aa963e7df785dae8266

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py

Python

tests/test_inflection_es.py

tatuylonen/wiktextract

f1192243fdd2b69c3e4424027531757cff82e40f

[ "MIT" ]

336

2018-11-28T08:17:19.000Z

2022-03-30T08:00:13.000Z

tests/test_inflection_es.py

tatuylonen/wiktextract

f1192243fdd2b69c3e4424027531757cff82e40f

[ "MIT" ]

116

2019-02-22T16:47:36.000Z

2022-03-22T17:29:15.000Z

tests/test_inflection_es.py

tatuylonen/wiktextract

f1192243fdd2b69c3e4424027531757cff82e40f

[ "MIT" ]

55

2018-12-28T09:54:26.000Z

2022-03-30T10:57:25.000Z

# -*- fundamental -*- # # Tests for parsing inflection tables # # Copyright (c) 2021 Tatu Ylonen. See file LICENSE and https://ylonen.org import unittest import json from wikitextprocessor import Wtp from wiktextract import WiktionaryConfig from wiktextract.inflection import parse_inflection_section class InflTests(unittest.TestCase): def setUp(self): self.maxDiff = 100000 self.ctx = Wtp() self.config = WiktionaryConfig() self.ctx.start_page("testpage") self.ctx.start_section("English") def xinfl(self, word, lang, pos, section, text): """Runs a single inflection table parsing test, and returns ``data``.""" self.ctx.start_page(word) self.ctx.start_section(lang) self.ctx.start_subsection(pos) tree = self.ctx.parse(text) data = {} parse_inflection_section(self.config, self.ctx, data, word, lang, pos, section, tree) return data def test_Spanish_verb1(self): ret = self.xinfl("interdecir", "Spanish", "verb", "Conjugation", """ <div class="NavFrame"> <div class="NavHead" align="center">    Conjugation of [[interdecir#Spanish|interdecir]] (irregular; e-i alternation) (See [[Appendix:Spanish verbs]])</div> <div class="NavContent"> {| style="background%3A%23F9F9F9%3Btext-align%3Acenter%3Bwidth%3A100%25" |- ! colspan="3" style="background%3A%23e2e4c0" | infinitive | colspan="5" | [[interdecir#Spanish|interdecir]] |- ! colspan="3" style="background%3A%23e2e4c0" | gerund | colspan="5" | [[interdiciendo#Spanish|interdiciendo]] |- ! rowspan="3" colspan="2" style="background%3A%23e2e4c0" | past participle | colspan="2" style="background%3A%23e2e4c0" | ! colspan="2" style="background%3A%23e2e4c0" | masculine ! colspan="2" style="background%3A%23e2e4c0" | feminine |- ! colspan="2" style="background%3A%23e2e4c0" | singular | colspan="2" | [[interdicho#Spanish|interdicho]] | colspan="2" | [[interdicha#Spanish|interdicha]] |- ! colspan="2" style="background%3A%23e2e4c0" | plural | colspan="2" | [[interdichos#Spanish|interdichos]] | colspan="2" | [[interdichas#Spanish|interdichas]] |- ! colspan="2" rowspan="2" style="background%3A%23DEDEDE" | ! colspan="3" style="background%3A%23DEDEDE" | singular ! colspan="3" style="background%3A%23DEDEDE" | plural |- ! style="background%3A%23DEDEDE" | 1st person ! style="background%3A%23DEDEDE" | 2nd person ! style="background%3A%23DEDEDE" | 3rd person ! style="background%3A%23DEDEDE" | 1st person ! style="background%3A%23DEDEDE" | 2nd person ! style="background%3A%23DEDEDE" | 3rd person |- ! rowspan="6" style="background%3A%23c0cfe4" | indicative ! style="background%3A%23ECECEC%3Bwidth%3A12.5%25" | ! style="background%3A%23ECECEC%3Bwidth%3A12.5%25" | yo ! style="background%3A%23ECECEC%3Bwidth%3A12.5%25" | tú vos ! style="background%3A%23ECECEC%3Bwidth%3A12.5%25" | él/ella/ello usted ! style="background%3A%23ECECEC%3Bwidth%3A12.5%25" | nosotros nosotras ! style="background%3A%23ECECEC%3Bwidth%3A12.5%25" | vosotros vosotras ! style="background%3A%23ECECEC%3Bwidth%3A12.5%25" | ellos/ellas ustedes |- ! style="height%3A3em%3Bbackground%3A%23ECECEC" | present | [[interdigo#Spanish|interdigo]] | [[interdices#Spanish|interdices]]tú [[interdecís#Spanish|interdecís]]vos | [[interdice#Spanish|interdice]] | [[interdecimos#Spanish|interdecimos]] | [[interdecís#Spanish|interdecís]] | [[interdicen#Spanish|interdicen]] |- ! style="height%3A3em%3Bbackground%3A%23ECECEC" | imperfect | [[interdecía#Spanish|interdecía]] | [[interdecías#Spanish|interdecías]] | [[interdecía#Spanish|interdecía]] | [[interdecíamos#Spanish|interdecíamos]] | [[interdecíais#Spanish|interdecíais]] | [[interdecían#Spanish|interdecían]] |- ! style="height%3A3em%3Bbackground%3A%23ECECEC" | preterite | [[interdije#Spanish|interdije]] | [[interdijiste#Spanish|interdijiste]] | [[interdijo#Spanish|interdijo]] | [[interdijimos#Spanish|interdijimos]] | [[interdijisteis#Spanish|interdijisteis]] | [[interdijeron#Spanish|interdijeron]] |- ! style="height%3A3em%3Bbackground%3A%23ECECEC" | future | [[interdiré#Spanish|interdiré]] | [[interdirás#Spanish|interdirás]] | [[interdirá#Spanish|interdirá]] | [[interdiremos#Spanish|interdiremos]] | [[interdiréis#Spanish|interdiréis]] | [[interdirán#Spanish|interdirán]] |- ! style="height%3A3em%3Bbackground%3A%23ECECEC" | conditional | [[interdiría#Spanish|interdiría]] | [[interdirías#Spanish|interdirías]] | [[interdiría#Spanish|interdiría]] | [[interdiríamos#Spanish|interdiríamos]] | [[interdiríais#Spanish|interdiríais]] | [[interdirían#Spanish|interdirían]] |- ! style="background%3A%23DEDEDE%3Bheight%3A.75em" colspan="8" | |- ! rowspan="5" style="background%3A%23c0e4c0" | subjunctive ! style="background%3A%23ECECEC" | ! style="background%3A%23ECECEC" | yo ! style="background%3A%23ECECEC" | tú vos ! style="background%3A%23ECECEC" | él/ella/ello usted ! style="background%3A%23ECECEC" | nosotros nosotras ! style="background%3A%23ECECEC" | vosotros vosotras ! style="background%3A%23ECECEC" | ellos/ellas ustedes |- ! style="height%3A3em%3Bbackground%3A%23ECECEC" | present | [[interdiga#Spanish|interdiga]] | [[interdigas#Spanish|interdigas]]tú [[interdigás#Spanish|interdigás]]vos2 | [[interdiga#Spanish|interdiga]] | [[interdigamos#Spanish|interdigamos]] | [[interdigáis#Spanish|interdigáis]] | [[interdigan#Spanish|interdigan]] |- ! style="height%3A3em%3Bbackground%3A%23ECECEC" | imperfect (ra) | [[interdijera#Spanish|interdijera]] | [[interdijeras#Spanish|interdijeras]] | [[interdijera#Spanish|interdijera]] | [[interdijéramos#Spanish|interdijéramos]] | [[interdijerais#Spanish|interdijerais]] | [[interdijeran#Spanish|interdijeran]] |- ! style="height%3A3em%3Bbackground%3A%23ECECEC" | imperfect (se) | [[interdijese#Spanish|interdijese]] | [[interdijeses#Spanish|interdijeses]] | [[interdijese#Spanish|interdijese]] | [[interdijésemos#Spanish|interdijésemos]] | [[interdijeseis#Spanish|interdijeseis]] | [[interdijesen#Spanish|interdijesen]] |- ! style="height%3A3em%3Bbackground%3A%23ECECEC" | future1 | [[interdijere#Spanish|interdijere]] | [[interdijeres#Spanish|interdijeres]] | [[interdijere#Spanish|interdijere]] | [[interdijéremos#Spanish|interdijéremos]] | [[interdijereis#Spanish|interdijereis]] | [[interdijeren#Spanish|interdijeren]] |- ! style="background%3A%23DEDEDE%3Bheight%3A.75em" colspan="8" | |- ! rowspan="6" style="background%3A%23e4d4c0" | imperative ! style="background%3A%23ECECEC" | ! style="background%3A%23ECECEC" | — ! style="background%3A%23ECECEC" | tú vos ! style="background%3A%23ECECEC" | usted ! style="background%3A%23ECECEC" | nosotros nosotras ! style="background%3A%23ECECEC" | vosotros vosotras ! style="background%3A%23ECECEC" | ustedes |- ! style="height%3A3em%3Bbackground%3A%23ECECEC" | affirmative | | [[interdice#Spanish|interdice]]tú [[interdecí#Spanish|interdecí]]vos | [[interdiga#Spanish|interdiga]] | [[interdigamos#Spanish|interdigamos]] | [[interdecid#Spanish|interdecid]] | [[interdigan#Spanish|interdigan]] |- ! style="height%3A3em%3Bbackground%3A%23ECECEC" | negative | | [[no#Spanish|no]] [[interdigas#Spanish|interdigas]] | [[no#Spanish|no]] [[interdiga#Spanish|interdiga]] | [[no#Spanish|no]] [[interdigamos#Spanish|interdigamos]] | [[no#Spanish|no]] [[interdigáis#Spanish|interdigáis]] | [[no#Spanish|no]] [[interdigan#Spanish|interdigan]] |} <div style="width%3A100%25%3Btext-align%3Aleft%3Bbackground%3A%23d9ebff"> <div style="display%3Ainline-block%3Btext-align%3Aleft%3Bpadding-left%3A1em%3Bpadding-right%3A1em"> 1Mostly obsolete form, now mainly used in legal jargon. 2Argentine and Uruguayan [[voseo#Spanish|voseo]] prefers the [[tú#Spanish|tú]] form for the present subjunctive. </div></div> </div></div> [[Category:Spanish verbs ending in -ir|INTERDECIR]][[Category:Spanish irregular verbs|INTERDECIR]][[Category:Spanish verbs with e-i alternation|INTERDECIR]] """) expected = { "forms": [ { "form": "e-i alternation", "source": "Conjugation title", "tags": ["class"], }, { "form": "interdecir", "source": "Conjugation", "tags": [ "infinitive" ] }, { "form": "interdiciendo", "source": "Conjugation", "tags": [ "gerund" ] }, { "form": "interdicho", "source": "Conjugation", "tags": [ "masculine", "participle", "past", "singular" ] }, { "form": "interdicha", "source": "Conjugation", "tags": [ "feminine", "participle", "past", "singular" ] }, { "form": "interdichos", "source": "Conjugation", "tags": [ "masculine", "participle", "past", "plural" ] }, { "form": "interdichas", "source": "Conjugation", "tags": [ "feminine", "participle", "past", "plural" ] }, { "form": "interdigo", "source": "Conjugation", "tags": [ "first-person", "indicative", "present", "singular" ] }, { "form": "interdices", "source": "Conjugation", "tags": [ "indicative", "informal", "present", "second-person", "singular" ] }, { "form": "interdecís", "source": "Conjugation", "tags": [ "indicative", "informal", "present", "second-person", "singular", "vos-form" ] }, { "form": "interdice", "source": "Conjugation", "tags": [ "indicative", "present", "singular", "third-person" ] }, { "form": "interdecimos", "source": "Conjugation", "tags": [ "first-person", "indicative", "plural", "present" ] }, { "form": "interdecís", "source": "Conjugation", "tags": [ "indicative", "plural", "present", "second-person" ] }, { "form": "interdicen", "source": "Conjugation", "tags": [ "indicative", "plural", "present", "third-person" ] }, { "form": "interdecía", "source": "Conjugation", "tags": [ "first-person", "imperfect", "indicative", "singular" ] }, { "form": "interdecías", "source": "Conjugation", "tags": [ "imperfect", "indicative", "second-person", "singular" ] }, { "form": "interdecía", "source": "Conjugation", "tags": [ "imperfect", "indicative", "singular", "third-person" ] }, { "form": "interdecíamos", "source": "Conjugation", "tags": [ "first-person", "imperfect", "indicative", "plural" ] }, { "form": "interdecíais", "source": "Conjugation", "tags": [ "imperfect", "indicative", "plural", "second-person" ] }, { "form": "interdecían", "source": "Conjugation", "tags": [ "imperfect", "indicative", "plural", "third-person" ] }, { "form": "interdije", "source": "Conjugation", "tags": [ "first-person", "indicative", "preterite", "singular" ] }, { "form": "interdijiste", "source": "Conjugation", "tags": [ "indicative", "preterite", "second-person", "singular" ] }, { "form": "interdijo", "source": "Conjugation", "tags": [ "indicative", "preterite", "singular", "third-person" ] }, { "form": "interdijimos", "source": "Conjugation", "tags": [ "first-person", "indicative", "plural", "preterite" ] }, { "form": "interdijisteis", "source": "Conjugation", "tags": [ "indicative", "plural", "preterite", "second-person" ] }, { "form": "interdijeron", "source": "Conjugation", "tags": [ "indicative", "plural", "preterite", "third-person" ] }, { "form": "interdiré", "source": "Conjugation", "tags": [ "first-person", "future", "indicative", "singular" ] }, { "form": "interdirás", "source": "Conjugation", "tags": [ "future", "indicative", "second-person", "singular" ] }, { "form": "interdirá", "source": "Conjugation", "tags": [ "future", "indicative", "singular", "third-person" ] }, { "form": "interdiremos", "source": "Conjugation", "tags": [ "first-person", "future", "indicative", "plural" ] }, { "form": "interdiréis", "source": "Conjugation", "tags": [ "future", "indicative", "plural", "second-person" ] }, { "form": "interdirán", "source": "Conjugation", "tags": [ "future", "indicative", "plural", "third-person" ] }, { "form": "interdiría", "source": "Conjugation", "tags": [ "conditional", "first-person", "indicative", "singular" ] }, { "form": "interdirías", "source": "Conjugation", "tags": [ "conditional", "indicative", "second-person", "singular" ] }, { "form": "interdiría", "source": "Conjugation", "tags": [ "conditional", "indicative", "singular", "third-person" ] }, { "form": "interdiríamos", "source": "Conjugation", "tags": [ "conditional", "first-person", "indicative", "plural" ] }, { "form": "interdiríais", "source": "Conjugation", "tags": [ "conditional", "indicative", "plural", "second-person" ] }, { "form": "interdirían", "source": "Conjugation", "tags": [ "conditional", "indicative", "plural", "third-person" ] }, { "form": "interdiga", "source": "Conjugation", "tags": [ "first-person", "present", "singular", "subjunctive" ] }, { "form": "interdigas", "source": "Conjugation", "tags": [ "informal", "present", "second-person", "singular", "subjunctive" ] }, { "form": "interdigás", "source": "Conjugation", "tags": [ "informal", "present", "second-person", "singular", "subjunctive", "vos-form" ] }, { "form": "interdiga", "source": "Conjugation", "tags": [ "present", "singular", "subjunctive", "third-person" ] }, { "form": "interdigamos", "source": "Conjugation", "tags": [ "first-person", "plural", "present", "subjunctive" ] }, { "form": "interdigáis", "source": "Conjugation", "tags": [ "plural", "present", "second-person", "subjunctive" ] }, { "form": "interdigan", "source": "Conjugation", "tags": [ "plural", "present", "subjunctive", "third-person" ] }, { "form": "interdijera", "source": "Conjugation", "tags": [ "first-person", "imperfect", "singular", "subjunctive" ] }, { "form": "interdijeras", "source": "Conjugation", "tags": [ "imperfect", "second-person", "singular", "subjunctive" ] }, { "form": "interdijera", "source": "Conjugation", "tags": [ "imperfect", "singular", "subjunctive", "third-person" ] }, { "form": "interdijéramos", "source": "Conjugation", "tags": [ "first-person", "imperfect", "plural", "subjunctive" ] }, { "form": "interdijerais", "source": "Conjugation", "tags": [ "imperfect", "plural", "second-person", "subjunctive" ] }, { "form": "interdijeran", "source": "Conjugation", "tags": [ "imperfect", "plural", "subjunctive", "third-person" ] }, { "form": "interdijese", "source": "Conjugation", "tags": [ "first-person", "imperfect", "imperfect-se", "singular", "subjunctive" ] }, { "form": "interdijeses", "source": "Conjugation", "tags": [ "imperfect", "imperfect-se", "second-person", "singular", "subjunctive" ] }, { "form": "interdijese", "source": "Conjugation", "tags": [ "imperfect", "imperfect-se", "singular", "subjunctive", "third-person" ] }, { "form": "interdijésemos", "source": "Conjugation", "tags": [ "first-person", "imperfect", "imperfect-se", "plural", "subjunctive" ] }, { "form": "interdijeseis", "source": "Conjugation", "tags": [ "imperfect", "imperfect-se", "plural", "second-person", "subjunctive" ] }, { "form": "interdijesen", "source": "Conjugation", "tags": [ "imperfect", "imperfect-se", "plural", "subjunctive", "third-person" ] }, { "form": "interdijere", "source": "Conjugation", "tags": [ "first-person", "future", "singular", "subjunctive" ] }, { "form": "interdijeres", "source": "Conjugation", "tags": [ "future", "second-person", "singular", "subjunctive" ] }, { "form": "interdijere", "source": "Conjugation", "tags": [ "future", "singular", "subjunctive", "third-person" ] }, { "form": "interdijéremos", "source": "Conjugation", "tags": [ "first-person", "future", "plural", "subjunctive" ] }, { "form": "interdijereis", "source": "Conjugation", "tags": [ "future", "plural", "second-person", "subjunctive" ] }, { "form": "interdijeren", "source": "Conjugation", "tags": [ "future", "plural", "subjunctive", "third-person" ] }, { "form": "interdice", "source": "Conjugation", "tags": [ "imperative", "informal", "second-person", "singular" ] }, { "form": "interdecí", "source": "Conjugation", "tags": [ "imperative", "informal", "second-person", "singular", "vos-form" ] }, { "form": "interdiga", "source": "Conjugation", "tags": [ "imperative", "singular", "third-person" ] }, { "form": "interdigamos", "source": "Conjugation", "tags": [ "first-person", "imperative", "plural" ] }, { "form": "interdecid", "source": "Conjugation", "tags": [ "imperative", "plural", "second-person" ] }, { "form": "interdigan", "source": "Conjugation", "tags": [ "imperative", "plural", "third-person" ] }, { "form": "no interdigas", "source": "Conjugation", "tags": [ "imperative", "negative", "second-person", "singular" ] }, { "form": "no interdiga", "source": "Conjugation", "tags": [ "imperative", "negative", "singular", "third-person" ] }, { "form": "no interdigamos", "source": "Conjugation", "tags": [ "first-person", "imperative", "negative", "plural" ] }, { "form": "no interdigáis", "source": "Conjugation", "tags": [ "imperative", "negative", "plural", "second-person" ] }, { "form": "no interdigan", "source": "Conjugation", "tags": [ "imperative", "negative", "plural", "third-person" ] }, { "form": "irregular", "source": "Conjugation title", "tags": ["word-tags"], }, ], } self.assertEqual(expected, ret) def test_Spanish_verb2(self): # This has ^vos^2 in second-person singular subjunctive ret = self.xinfl("apoltronarse", "Spanish", "verb", "Conjugation", """ <div class="NavFrame"> <div class="NavHead" align="center">    Conjugation of [[apoltronarse#Spanish|apoltronarse]] (See [[Appendix:Spanish verbs]])</div> <div class="NavContent"> {| style="background%3A%23F9F9F9%3Btext-align%3Acenter%3Bwidth%3A100%25" |- ! colspan="3" style="background%3A%23e2e4c0" | infinitive | colspan="5" | [[apoltronarse#Spanish|apoltronarse]] |- ! colspan="3" style="background%3A%23e2e4c0" | gerund | colspan="5" | [[apoltronándose#Spanish|apoltronándose]] |- ! rowspan="3" colspan="2" style="background%3A%23e2e4c0" | past participle | colspan="2" style="background%3A%23e2e4c0" | ! colspan="2" style="background%3A%23e2e4c0" | masculine ! colspan="2" style="background%3A%23e2e4c0" | feminine |- ! colspan="2" style="background%3A%23e2e4c0" | singular | colspan="2" | [[apoltronado#Spanish|apoltronado]] | colspan="2" | [[apoltronada#Spanish|apoltronada]] |- ! colspan="2" style="background%3A%23e2e4c0" | plural | colspan="2" | [[apoltronados#Spanish|apoltronados]] | colspan="2" | [[apoltronadas#Spanish|apoltronadas]] |- ! colspan="2" rowspan="2" style="background%3A%23DEDEDE" | ! colspan="3" style="background%3A%23DEDEDE" | singular ! colspan="3" style="background%3A%23DEDEDE" | plural |- ! style="background%3A%23DEDEDE" | 1st person ! style="background%3A%23DEDEDE" | 2nd person ! style="background%3A%23DEDEDE" | 3rd person ! style="background%3A%23DEDEDE" | 1st person ! style="background%3A%23DEDEDE" | 2nd person ! style="background%3A%23DEDEDE" | 3rd person |- ! rowspan="6" style="background%3A%23c0cfe4" | indicative ! style="background%3A%23ECECEC%3Bwidth%3A12.5%25" | ! style="background%3A%23ECECEC%3Bwidth%3A12.5%25" | yo ! style="background%3A%23ECECEC%3Bwidth%3A12.5%25" | tú vos ! style="background%3A%23ECECEC%3Bwidth%3A12.5%25" | él/ella/ello usted ! style="background%3A%23ECECEC%3Bwidth%3A12.5%25" | nosotros nosotras ! style="background%3A%23ECECEC%3Bwidth%3A12.5%25" | vosotros vosotras ! style="background%3A%23ECECEC%3Bwidth%3A12.5%25" | ellos/ellas ustedes |- ! style="height%3A3em%3Bbackground%3A%23ECECEC" | present | [[me#Spanish|me]] [[apoltrono#Spanish|apoltrono]] | [[te#Spanish|te]] [[apoltronas#Spanish|apoltronas]]tú [[te#Spanish|te]] [[apoltronás#Spanish|apoltronás]]vos | [[se#Spanish|se]] [[apoltrona#Spanish|apoltrona]] | [[nos#Spanish|nos]] [[apoltronamos#Spanish|apoltronamos]] | [[os#Spanish|os]] [[apoltronáis#Spanish|apoltronáis]] | [[se#Spanish|se]] [[apoltronan#Spanish|apoltronan]] |- ! style="height%3A3em%3Bbackground%3A%23ECECEC" | imperfect | [[me#Spanish|me]] [[apoltronaba#Spanish|apoltronaba]] | [[te#Spanish|te]] [[apoltronabas#Spanish|apoltronabas]] | [[se#Spanish|se]] [[apoltronaba#Spanish|apoltronaba]] | [[nos#Spanish|nos]] [[apoltronábamos#Spanish|apoltronábamos]] | [[os#Spanish|os]] [[apoltronabais#Spanish|apoltronabais]] | [[se#Spanish|se]] [[apoltronaban#Spanish|apoltronaban]] |- ! style="height%3A3em%3Bbackground%3A%23ECECEC" | preterite | [[me#Spanish|me]] [[apoltroné#Spanish|apoltroné]] | [[te#Spanish|te]] [[apoltronaste#Spanish|apoltronaste]] | [[se#Spanish|se]] [[apoltronó#Spanish|apoltronó]] | [[nos#Spanish|nos]] [[apoltronamos#Spanish|apoltronamos]] | [[os#Spanish|os]] [[apoltronasteis#Spanish|apoltronasteis]] | [[se#Spanish|se]] [[apoltronaron#Spanish|apoltronaron]] |- ! style="height%3A3em%3Bbackground%3A%23ECECEC" | future | [[me#Spanish|me]] [[apoltronaré#Spanish|apoltronaré]] | [[te#Spanish|te]] [[apoltronarás#Spanish|apoltronarás]] | [[se#Spanish|se]] [[apoltronará#Spanish|apoltronará]] | [[nos#Spanish|nos]] [[apoltronaremos#Spanish|apoltronaremos]] | [[os#Spanish|os]] [[apoltronaréis#Spanish|apoltronaréis]] | [[se#Spanish|se]] [[apoltronarán#Spanish|apoltronarán]] |- ! style="height%3A3em%3Bbackground%3A%23ECECEC" | conditional | [[me#Spanish|me]] [[apoltronaría#Spanish|apoltronaría]] | [[te#Spanish|te]] [[apoltronarías#Spanish|apoltronarías]] | [[se#Spanish|se]] [[apoltronaría#Spanish|apoltronaría]] | [[nos#Spanish|nos]] [[apoltronaríamos#Spanish|apoltronaríamos]] | [[os#Spanish|os]] [[apoltronaríais#Spanish|apoltronaríais]] | [[se#Spanish|se]] [[apoltronarían#Spanish|apoltronarían]] |- ! style="background%3A%23DEDEDE%3Bheight%3A.75em" colspan="8" | |- ! rowspan="5" style="background%3A%23c0e4c0" | subjunctive ! style="background%3A%23ECECEC" | ! style="background%3A%23ECECEC" | yo ! style="background%3A%23ECECEC" | tú vos ! style="background%3A%23ECECEC" | él/ella/ello usted ! style="background%3A%23ECECEC" | nosotros nosotras ! style="background%3A%23ECECEC" | vosotros vosotras ! style="background%3A%23ECECEC" | ellos/ellas ustedes |- ! style="height%3A3em%3Bbackground%3A%23ECECEC" | present | [[me#Spanish|me]] [[apoltrone#Spanish|apoltrone]] | [[te#Spanish|te]] [[apoltrones#Spanish|apoltrones]]tú [[te#Spanish|te]] [[apoltronés#Spanish|apoltronés]]vos2 | [[se#Spanish|se]] [[apoltrone#Spanish|apoltrone]] | [[nos#Spanish|nos]] [[apoltronemos#Spanish|apoltronemos]] | [[os#Spanish|os]] [[apoltronéis#Spanish|apoltronéis]] | [[se#Spanish|se]] [[apoltronen#Spanish|apoltronen]] |- ! style="height%3A3em%3Bbackground%3A%23ECECEC" | imperfect (ra) | [[me#Spanish|me]] [[apoltronara#Spanish|apoltronara]] | [[te#Spanish|te]] [[apoltronaras#Spanish|apoltronaras]] | [[se#Spanish|se]] [[apoltronara#Spanish|apoltronara]] | [[nos#Spanish|nos]] [[apoltronáramos#Spanish|apoltronáramos]] | [[os#Spanish|os]] [[apoltronarais#Spanish|apoltronarais]] | [[se#Spanish|se]] [[apoltronaran#Spanish|apoltronaran]] |- ! style="height%3A3em%3Bbackground%3A%23ECECEC" | imperfect (se) | [[me#Spanish|me]] [[apoltronase#Spanish|apoltronase]] | [[te#Spanish|te]] [[apoltronases#Spanish|apoltronases]] | [[se#Spanish|se]] [[apoltronase#Spanish|apoltronase]] | [[nos#Spanish|nos]] [[apoltronásemos#Spanish|apoltronásemos]] | [[os#Spanish|os]] [[apoltronaseis#Spanish|apoltronaseis]] | [[se#Spanish|se]] [[apoltronasen#Spanish|apoltronasen]] |- ! style="height%3A3em%3Bbackground%3A%23ECECEC" | future1 | [[me#Spanish|me]] [[apoltronare#Spanish|apoltronare]] | [[te#Spanish|te]] [[apoltronares#Spanish|apoltronares]] | [[se#Spanish|se]] [[apoltronare#Spanish|apoltronare]] | [[nos#Spanish|nos]] [[apoltronáremos#Spanish|apoltronáremos]] | [[os#Spanish|os]] [[apoltronareis#Spanish|apoltronareis]] | [[se#Spanish|se]] [[apoltronaren#Spanish|apoltronaren]] |- ! style="background%3A%23DEDEDE%3Bheight%3A.75em" colspan="8" | |- ! rowspan="6" style="background%3A%23e4d4c0" | imperative ! style="background%3A%23ECECEC" | ! style="background%3A%23ECECEC" | — ! style="background%3A%23ECECEC" | tú vos ! style="background%3A%23ECECEC" | usted ! style="background%3A%23ECECEC" | nosotros nosotras ! style="background%3A%23ECECEC" | vosotros vosotras ! style="background%3A%23ECECEC" | ustedes |- ! style="height%3A3em%3Bbackground%3A%23ECECEC" | affirmative | | [[apoltrónate#Spanish|apoltrónate]]tú [[apoltronate#Spanish|apoltronate]]vos | [[apoltrónese#Spanish|apoltrónese]] | [[apoltronémonos#Spanish|apoltronémonos]] | [[apoltronaos#Spanish|apoltronaos]] | [[apoltrónense#Spanish|apoltrónense]] |- ! style="height%3A3em%3Bbackground%3A%23ECECEC" | negative | | [[no#Spanish|no]] [[te#Spanish|te]] [[apoltrones#Spanish|apoltrones]] | [[no#Spanish|no]] [[se#Spanish|se]] [[apoltrone#Spanish|apoltrone]] | [[no#Spanish|no]] [[nos#Spanish|nos]] [[apoltronemos#Spanish|apoltronemos]] | [[no#Spanish|no]] [[os#Spanish|os]] [[apoltronéis#Spanish|apoltronéis]] | [[no#Spanish|no]] [[se#Spanish|se]] [[apoltronen#Spanish|apoltronen]] |} <div style="width%3A100%25%3Btext-align%3Aleft%3Bbackground%3A%23d9ebff"> <div style="display%3Ainline-block%3Btext-align%3Aleft%3Bpadding-left%3A1em%3Bpadding-right%3A1em"> 1Mostly obsolete form, now mainly used in legal jargon. 2Argentine and Uruguayan [[voseo#Spanish|voseo]] prefers the [[tú#Spanish|tú]] form for the present subjunctive. </div></div> </div></div> <div class="NavFrame"> <div class="NavHead" align="center">    Selected combined forms of [[apoltronarse#Spanish|apoltronarse]]</div> <div class="NavContent"> {| class="inflection-table" style="background%3A%23F9F9F9%3Btext-align%3Acenter%3Bwidth%3A100%25" |- ! colspan="2" rowspan="2" style="background%3A%23DEDEDE" | ! colspan="3" style="background%3A%23DEDEDE" | singular ! colspan="3" style="background%3A%23DEDEDE" | plural |- ! style="background%3A%23DEDEDE" | 1st person ! style="background%3A%23DEDEDE" | 2nd person ! style="background%3A%23DEDEDE" | 3rd person ! style="background%3A%23DEDEDE" | 1st person ! style="background%3A%23DEDEDE" | 2nd person ! style="background%3A%23DEDEDE" | 3rd person |- ! rowspan="2" style="background%3A%23c0cfe4" | Infinitives |- ! style="height%3A3em%3Bbackground%3A%23ECECEC" | accusative | [[apoltronarme#Spanish|apoltronarme]] | [[apoltronarte#Spanish|apoltronarte]] | [[apoltronarse#Spanish|apoltronarse]] | [[apoltronarnos#Spanish|apoltronarnos]] | [[apoltronaros#Spanish|apoltronaros]] | [[apoltronarse#Spanish|apoltronarse]] |- ! style="background%3A%23DEDEDE%3Bheight%3A.35em" colspan="8" | |- ! rowspan="2" style="background%3A%23d0cfa4" | gerunds |- ! style="height%3A3em%3Bbackground%3A%23ECECEC" | accusative | [[apoltronándome#Spanish|apoltronándome]] | [[apoltronándote#Spanish|apoltronándote]] | [[apoltronándose#Spanish|apoltronándose]] | [[apoltronándonos#Spanish|apoltronándonos]] | [[apoltronándoos#Spanish|apoltronándoos]] | [[apoltronándose#Spanish|apoltronándose]] |- ! style="background%3A%23DEDEDE%3Bheight%3A.35em" colspan="8" | |- ! rowspan="2" style="background%3A%23f2caa4" | with positive imperatives |- ! style="height%3A3em%3Bbackground%3A%23ECECEC" | accusative | ''not used'' | [[apoltrónate#Spanish|apoltrónate]] | [[apoltrónese#Spanish|apoltrónese]] | [[apoltronémonos#Spanish|apoltronémonos]] | [[apoltronaos#Spanish|apoltronaos]] | [[apoltrónense#Spanish|apoltrónense]] |} </div></div> [[Category:Spanish verbs ending in -ar|APOLTRONARSE]][[Category:Spanish reflexive verbs|APOLTRONARSE]] """) expected = { "forms": [ { "form": "apoltronarse", "source": "Conjugation", "tags": [ "infinitive" ] }, { "form": "apoltronándose", "source": "Conjugation", "tags": [ "gerund" ] }, { "form": "apoltronado", "source": "Conjugation", "tags": [ "masculine", "participle", "past", "singular" ] }, { "form": "apoltronada", "source": "Conjugation", "tags": [ "feminine", "participle", "past", "singular" ] }, { "form": "apoltronados", "source": "Conjugation", "tags": [ "masculine", "participle", "past", "plural" ] }, { "form": "apoltronadas", "source": "Conjugation", "tags": [ "feminine", "participle", "past", "plural" ] }, { "form": "me apoltrono", "source": "Conjugation", "tags": [ "first-person", "indicative", "present", "singular" ] }, { "form": "te apoltronas", "source": "Conjugation", "tags": [ "indicative", "informal", "present", "second-person", "singular" ] }, { "form": "te apoltronás", "source": "Conjugation", "tags": [ "indicative", "informal", "present", "second-person", "singular", "vos-form" ] }, { "form": "se apoltrona", "source": "Conjugation", "tags": [ "indicative", "present", "singular", "third-person" ] }, { "form": "nos apoltronamos", "source": "Conjugation", "tags": [ "first-person", "indicative", "plural", "present" ] }, { "form": "os apoltronáis", "source": "Conjugation", "tags": [ "indicative", "plural", "present", "second-person" ] }, { "form": "se apoltronan", "source": "Conjugation", "tags": [ "indicative", "plural", "present", "third-person" ] }, { "form": "me apoltronaba", "source": "Conjugation", "tags": [ "first-person", "imperfect", "indicative", "singular" ] }, { "form": "te apoltronabas", "source": "Conjugation", "tags": [ "imperfect", "indicative", "second-person", "singular" ] }, { "form": "se apoltronaba", "source": "Conjugation", "tags": [ "imperfect", "indicative", "singular", "third-person" ] }, { "form": "nos apoltronábamos", "source": "Conjugation", "tags": [ "first-person", "imperfect", "indicative", "plural" ] }, { "form": "os apoltronabais", "source": "Conjugation", "tags": [ "imperfect", "indicative", "plural", "second-person" ] }, { "form": "se apoltronaban", "source": "Conjugation", "tags": [ "imperfect", "indicative", "plural", "third-person" ] }, { "form": "me apoltroné", "source": "Conjugation", "tags": [ "first-person", "indicative", "preterite", "singular" ] }, { "form": "te apoltronaste", "source": "Conjugation", "tags": [ "indicative", "preterite", "second-person", "singular" ] }, { "form": "se apoltronó", "source": "Conjugation", "tags": [ "indicative", "preterite", "singular", "third-person" ] }, { "form": "nos apoltronamos", "source": "Conjugation", "tags": [ "first-person", "indicative", "plural", "preterite" ] }, { "form": "os apoltronasteis", "source": "Conjugation", "tags": [ "indicative", "plural", "preterite", "second-person" ] }, { "form": "se apoltronaron", "source": "Conjugation", "tags": [ "indicative", "plural", "preterite", "third-person" ] }, { "form": "me apoltronaré", "source": "Conjugation", "tags": [ "first-person", "future", "indicative", "singular" ] }, { "form": "te apoltronarás", "source": "Conjugation", "tags": [ "future", "indicative", "second-person", "singular" ] }, { "form": "se apoltronará", "source": "Conjugation", "tags": [ "future", "indicative", "singular", "third-person" ] }, { "form": "nos apoltronaremos", "source": "Conjugation", "tags": [ "first-person", "future", "indicative", "plural" ] }, { "form": "os apoltronaréis", "source": "Conjugation", "tags": [ "future", "indicative", "plural", "second-person" ] }, { "form": "se apoltronarán", "source": "Conjugation", "tags": [ "future", "indicative", "plural", "third-person" ] }, { "form": "me apoltronaría", "source": "Conjugation", "tags": [ "conditional", "first-person", "indicative", "singular" ] }, { "form": "te apoltronarías", "source": "Conjugation", "tags": [ "conditional", "indicative", "second-person", "singular" ] }, { "form": "se apoltronaría", "source": "Conjugation", "tags": [ "conditional", "indicative", "singular", "third-person" ] }, { "form": "nos apoltronaríamos", "source": "Conjugation", "tags": [ "conditional", "first-person", "indicative", "plural" ] }, { "form": "os apoltronaríais", "source": "Conjugation", "tags": [ "conditional", "indicative", "plural", "second-person" ] }, { "form": "se apoltronarían", "source": "Conjugation", "tags": [ "conditional", "indicative", "plural", "third-person" ] }, { "form": "me apoltrone", "source": "Conjugation", "tags": [ "first-person", "present", "singular", "subjunctive" ] }, { "form": "te apoltrones", "source": "Conjugation", "tags": [ "informal", "present", "second-person", "singular", "subjunctive" ] }, { "form": "te apoltronés", "source": "Conjugation", "tags": [ "informal", "present", "second-person", "singular", "subjunctive", "vos-form" ] }, { "form": "se apoltrone", "source": "Conjugation", "tags": [ "present", "singular", "subjunctive", "third-person" ] }, { "form": "nos apoltronemos", "source": "Conjugation", "tags": [ "first-person", "plural", "present", "subjunctive" ] }, { "form": "os apoltronéis", "source": "Conjugation", "tags": [ "plural", "present", "second-person", "subjunctive" ] }, { "form": "se apoltronen", "source": "Conjugation", "tags": [ "plural", "present", "subjunctive", "third-person" ] }, { "form": "me apoltronara", "source": "Conjugation", "tags": [ "first-person", "imperfect", "singular", "subjunctive" ] }, { "form": "te apoltronaras", "source": "Conjugation", "tags": [ "imperfect", "second-person", "singular", "subjunctive" ] }, { "form": "se apoltronara", "source": "Conjugation", "tags": [ "imperfect", "singular", "subjunctive", "third-person" ] }, { "form": "nos apoltronáramos", "source": "Conjugation", "tags": [ "first-person", "imperfect", "plural", "subjunctive" ] }, { "form": "os apoltronarais", "source": "Conjugation", "tags": [ "imperfect", "plural", "second-person", "subjunctive" ] }, { "form": "se apoltronaran", "source": "Conjugation", "tags": [ "imperfect", "plural", "subjunctive", "third-person" ] }, { "form": "me apoltronase", "source": "Conjugation", "tags": [ "first-person", "imperfect", "imperfect-se", "singular", "subjunctive" ] }, { "form": "te apoltronases", "source": "Conjugation", "tags": [ "imperfect", "imperfect-se", "second-person", "singular", "subjunctive" ] }, { "form": "se apoltronase", "source": "Conjugation", "tags": [ "imperfect", "imperfect-se", "singular", "subjunctive", "third-person" ] }, { "form": "nos apoltronásemos", "source": "Conjugation", "tags": [ "first-person", "imperfect", "imperfect-se", "plural", "subjunctive" ] }, { "form": "os apoltronaseis", "source": "Conjugation", "tags": [ "imperfect", "imperfect-se", "plural", "second-person", "subjunctive" ] }, { "form": "se apoltronasen", "source": "Conjugation", "tags": [ "imperfect", "imperfect-se", "plural", "subjunctive", "third-person" ] }, { "form": "me apoltronare", "source": "Conjugation", "tags": [ "first-person", "future", "singular", "subjunctive" ] }, { "form": "te apoltronares", "source": "Conjugation", "tags": [ "future", "second-person", "singular", "subjunctive" ] }, { "form": "se apoltronare", "source": "Conjugation", "tags": [ "future", "singular", "subjunctive", "third-person" ] }, { "form": "nos apoltronáremos", "source": "Conjugation", "tags": [ "first-person", "future", "plural", "subjunctive" ] }, { "form": "os apoltronareis", "source": "Conjugation", "tags": [ "future", "plural", "second-person", "subjunctive" ] }, { "form": "se apoltronaren", "source": "Conjugation", "tags": [ "future", "plural", "subjunctive", "third-person" ] }, { "form": "apoltrónate", "source": "Conjugation", "tags": [ "imperative", "informal", "second-person", "singular" ] }, { "form": "apoltronate", "source": "Conjugation", "tags": [ "imperative", "informal", "second-person", "singular", "vos-form" ] }, { "form": "apoltrónese", "source": "Conjugation", "tags": [ "imperative", "singular", "third-person" ] }, { "form": "apoltronémonos", "source": "Conjugation", "tags": [ "first-person", "imperative", "plural" ] }, { "form": "apoltronaos", "source": "Conjugation", "tags": [ "imperative", "plural", "second-person" ] }, { "form": "apoltrónense", "source": "Conjugation", "tags": [ "imperative", "plural", "third-person" ] }, { "form": "no te apoltrones", "source": "Conjugation", "tags": [ "imperative", "negative", "second-person", "singular" ] }, { "form": "no se apoltrone", "source": "Conjugation", "tags": [ "imperative", "negative", "singular", "third-person" ] }, { "form": "no nos apoltronemos", "source": "Conjugation", "tags": [ "first-person", "imperative", "negative", "plural" ] }, { "form": "no os apoltronéis", "source": "Conjugation", "tags": [ "imperative", "negative", "plural", "second-person" ] }, { "form": "no se apoltronen", "source": "Conjugation", "tags": [ "imperative", "negative", "plural", "third-person" ] }, { "form": "apoltronarme", "source": "Conjugation", "tags": [ "accusative", "combined-form", "infinitive", "object-first-person", "object-singular" ] }, { "form": "apoltronarte", "source": "Conjugation", "tags": [ "accusative", "combined-form", "infinitive", "object-second-person", "object-singular" ] }, { "form": "apoltronarse", "source": "Conjugation", "tags": [ "accusative", "combined-form", "infinitive", "object-singular", "object-third-person" ] }, { "form": "apoltronarnos", "source": "Conjugation", "tags": [ "accusative", "combined-form", "infinitive", "object-first-person", "object-plural" ] }, { "form": "apoltronaros", "source": "Conjugation", "tags": [ "accusative", "combined-form", "infinitive", "object-plural", "object-second-person" ] }, { "form": "apoltronarse", "source": "Conjugation", "tags": [ "accusative", "combined-form", "infinitive", "object-plural", "object-third-person" ] }, { "form": "apoltronándome", "source": "Conjugation", "tags": [ "accusative", "combined-form", "gerund", "object-first-person", "object-singular" ] }, { "form": "apoltronándote", "source": "Conjugation", "tags": [ "accusative", "combined-form", "gerund", "object-second-person", "object-singular" ] }, { "form": "apoltronándose", "source": "Conjugation", "tags": [ "accusative", "combined-form", "gerund", "object-singular", "object-third-person" ] }, { "form": "apoltronándonos", "source": "Conjugation", "tags": [ "accusative", "combined-form", "gerund", "object-first-person", "object-plural" ] }, { "form": "apoltronándoos", "source": "Conjugation", "tags": [ "accusative", "combined-form", "gerund", "object-plural", "object-second-person" ] }, { "form": "apoltronándose", "source": "Conjugation", "tags": [ "accusative", "combined-form", "gerund", "object-plural", "object-third-person" ] }, {'form': '-', 'source': 'Conjugation', 'tags': ['accusative', 'combined-form', 'object-first-person', 'object-singular', 'with-positive-imperative']}, { "form": "apoltrónate", "source": "Conjugation", "tags": [ "accusative", "combined-form", "object-second-person", "object-singular", "with-positive-imperative" ] }, { "form": "apoltrónese", "source": "Conjugation", "tags": [ "accusative", "combined-form", "object-singular", "object-third-person", "with-positive-imperative" ] }, { "form": "apoltronémonos", "source": "Conjugation", "tags": [ "accusative", "combined-form", "object-first-person", "object-plural", "with-positive-imperative" ] }, { "form": "apoltronaos", "source": "Conjugation", "tags": [ "accusative", "combined-form", "object-plural", "object-second-person", "with-positive-imperative" ] }, { "form": "apoltrónense", "source": "Conjugation", "tags": [ "accusative", "combined-form", "object-plural", "object-third-person", "with-positive-imperative" ] } ], } self.assertEqual(expected, ret)

29.526866

367

0.445309

6,406

81,878

5.689978

0.061349

0.043951

0.094486

0.060631

0.845816

0.826776

0.815693

0.797449

0.757503

0.507462

0

0.024962

0.394758

81,878

2,772

368

29.537518

0.71053

0.003053

0

0.60539

0

0.104909

0.559295

0.316209

0

0.000962

1

0.001925

false

0

0.002406

0

0.005294

0

null

0

1

0

null

0

5

f21cad73a8014d987d470082fc5b1121d8e2d90c

462

py

Python

dashboard_generator.py

Rg3556/exec-dash

9c8df8f113979afdedd6ce7332535c7e70887655

[ "MIT" ]

null

dashboard_generator.py

Rg3556/exec-dash

9c8df8f113979afdedd6ce7332535c7e70887655

[ "MIT" ]

null

dashboard_generator.py

Rg3556/exec-dash

9c8df8f113979afdedd6ce7332535c7e70887655

[ "MIT" ]

null

# dashboard_generator.py print("-----------------------") print("MONTH: March 2018") print("-----------------------") print("CRUNCHING THE DATA...") print("-----------------------") print("TOTAL MONTHLY SALES: $12,000.71") print("-----------------------") print("TOP SELLING PRODUCTS:") print(" 1) Button-Down Shirt: $6,960.35") print(" 2) Super Soft Hoodie: $1,875.00") print(" 3) etc.") print("-----------------------") print("VISUALIZING THE DATA...")

24.315789

42

0.484848

50

462

4.46

0.7

0.224215

0

0.062201

0.095238

462

19

43

24.315789

0.471292

0.047619

0

0.384615

0

0.690205

0.261959

0

1

0

true

0

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

5

f228033482c3c545288dc842ef3c082e2b9e3fba

440

py

Python

iis-3rdparty-madis/src/main/resources/eu/dnetlib/iis/3rdparty/scripts/madis/lib/pg8000/util.py

mpol/iis

fbf7129bbd131fbf824a0d3fc8a0afde367794e2

[ "Apache-2.0" ]

20

2015-09-19T21:17:23.000Z

2022-03-01T10:37:59.000Z

iis-3rdparty-madis/src/main/resources/eu/dnetlib/iis/3rdparty/scripts/madis/lib/pg8000/util.py

mpol/iis

fbf7129bbd131fbf824a0d3fc8a0afde367794e2

[ "Apache-2.0" ]

1,054

2015-09-11T06:51:27.000Z

2022-03-30T09:46:54.000Z

iis-3rdparty-madis/src/main/resources/eu/dnetlib/iis/3rdparty/scripts/madis/lib/pg8000/util.py

mpol/iis

fbf7129bbd131fbf824a0d3fc8a0afde367794e2

[ "Apache-2.0" ]

80

2015-12-09T12:41:52.000Z

2022-02-16T11:46:42.000Z

class MulticastDelegate(object): def __init__(self): self.delegates = [] def __iadd__(self, delegate): self.add(delegate) return self def add(self, delegate): self.delegates.append(delegate) def __isub__(self, delegate): self.delegates.remove(delegate) return self def __call__(self, *args, **kwargs): for d in self.delegates: d(*args, **kwargs)

20.952381

40

0.6

48

440

5.166667

0.416667

0.209677

0.193548

0.169355

0

0.288636

440

20

41

22

0.792332

0

0.142857

0

1

0.357143

false

0

0.571429

0

null

1

0

null

0

1

0

1

0

5

48685e48facbd7e40993872a4b1868458b9de6a8

92

py

Python

Solution/43.py

pallavimr12/Python_Levelwise_Exercises

4090437b537260be2eca06c8d52d3a2bba1f5a5e

[ "BSD-3-Clause" ]

2

2020-10-23T10:55:58.000Z

2020-11-24T04:26:23.000Z

Solution/43.py

pallavimr12/Python_Levelwise_Exercises

4090437b537260be2eca06c8d52d3a2bba1f5a5e

[ "BSD-3-Clause" ]

null

Solution/43.py

pallavimr12/Python_Levelwise_Exercises

4090437b537260be2eca06c8d52d3a2bba1f5a5e

[ "BSD-3-Clause" ]

2

2020-11-19T06:37:29.000Z

2022-01-18T14:36:46.000Z

s= raw_input() if s=="yes" or s=="YES" or s=="Yes": print ("Yes") else: print ("No")

18.4

36

0.51087

17

92

2.705882

0.529412

0.26087

0.304348

0.347826

0

0.217391

92

5

37

18.4

0.638889

0

0.150538

0

1

0

false

0

0.4

1

0

null

1

0

1

0

null

0

5

4887ea94da79e955be7c3342becb58d785fe3250

157

py

Python

examples/common/processes/__init__.py

francisso/rembrain_robotframework

bd54a8c51775da3517760c4060edda8c28f5e75d

[ "MIT" ]

7

2021-09-23T15:20:33.000Z

2022-03-18T11:46:39.000Z

examples/common/processes/__init__.py

francisso/rembrain_robotframework

bd54a8c51775da3517760c4060edda8c28f5e75d

[ "MIT" ]

1

2021-12-03T10:40:19.000Z

examples/common/processes/__init__.py

francisso/rembrain_robotframework

bd54a8c51775da3517760c4060edda8c28f5e75d

[ "MIT" ]

6

2021-09-22T15:07:52.000Z

2022-01-06T08:25:19.000Z

from .depth_mixin import DepthMixin from .gui import GUIProcess from .image_capture import ImageCapture from .yolo_image_processor import YoloImageProcessor

31.4

52

0.872611

20

157

6.65

0.65

0

0.101911

157

4

53

39.25

0.943262

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

6f82b410907bd251611400cd6505ddd8976490e3

59,762

py

Python

trojsten/rules/test.py

sobkulir/web

93dc2e3696613e771d34190cf8b43904be9c1ba8

[ "MIT" ]

5

2018-04-22T22:44:02.000Z

2021-04-26T20:44:44.000Z

trojsten/rules/test.py

sobkulir/web

93dc2e3696613e771d34190cf8b43904be9c1ba8

[ "MIT" ]

250

2018-04-24T12:04:11.000Z

2022-03-09T06:56:47.000Z

trojsten/rules/test.py

sobkulir/web

93dc2e3696613e771d34190cf8b43904be9c1ba8

[ "MIT" ]

8

2019-04-28T11:33:03.000Z

2022-02-26T13:30:36.000Z

# -*- coding: utf-8 -*- import datetime from django.conf import settings from django.contrib.auth.models import Group from django.contrib.sites.models import Site from django.test import TestCase from django.urls import reverse from django.utils import timezone import trojsten.submit.constants as submit_constants from trojsten.contests.models import Category, Competition, Round, Semester, Task from trojsten.events.models import Event, EventParticipant, EventPlace, EventType from trojsten.people.constants import SCHOOL_YEAR_END_MONTH from trojsten.people.models import User, UserProperty, UserPropertyKey from trojsten.rules.kms import ( COEFFICIENT_COLUMN_KEY, KMS_ALFA, KMS_BETA, KMS_CAMP_TYPE, KMS_MO_FINALS_TYPE, KMSResultsGenerator, KMSRules, ) from trojsten.rules.ksp import KSP_ALL, KSP_L1, KSP_L2, KSP_L3, KSP_L4 from trojsten.rules.models import KSPLevel from trojsten.rules.susi import SUSIResultsGenerator, SUSIRules from trojsten.rules.susi_constants import ( PUZZLEHUNT_PARTICIPATIONS_KEY_NAME, SUSI_AGAT, SUSI_BLYSKAVICA, SUSI_CAMP_TYPE, SUSI_CIFERSKY_CECH, SUSI_OUTDOOR_ROUND_NUMBER, ) from trojsten.submit.models import Submit SOURCE = submit_constants.SUBMIT_TYPE_SOURCE DESCRIPTION = submit_constants.SUBMIT_TYPE_DESCRIPTION ZIP = submit_constants.SUBMIT_TYPE_TESTABLE_ZIP class DictObject(object): def __init__(self, d): """Convert a dictionary to a class @param :d Dictionary """ self.__dict__.update(d) for k, v in d.items(): if isinstance(v, dict): self.__dict__[k] = DictObject(v) if isinstance(v, list): self.__dict__[k] = [DictObject(i) for i in v if isinstance(i, dict)] def get_scoreboard(scoreboards, tag_key): for scoreboard_object in scoreboards: scoreboard = scoreboard_object.scoreboard if scoreboard.tag == tag_key: return scoreboard return None def get_row_for_user(scoreboard, user): if scoreboard: table = scoreboard.serialized_results for row in table["rows"]: if row["user"]["id"] == user.id: return DictObject(row) return None def get_col_to_index_map(scoreboard): if scoreboard: return { k: i for i, k in enumerate(map(lambda c: c["key"], scoreboard.serialized_results["cols"])) } return dict() class KMSCoefficientTest(TestCase): def setUp(self): time = datetime.datetime(2047, 4, 7, 12, 47) self.time = timezone.make_aware(time) group = Group.objects.create(name="skupina") self.place = EventPlace.objects.create(name="Horna dolna") self.type_camp = EventType.objects.create( name=KMS_CAMP_TYPE, organizers_group=group, is_camp=True ) self.type_mo = EventType.objects.create( name=KMS_MO_FINALS_TYPE, organizers_group=group, is_camp=False ) competition = Competition.objects.create(name="TestCompetition") competition.sites.add(Site.objects.get(pk=settings.SITE_ID)) self.semesters = [] self.camps = [] self.mo_finals = [] for (year, semester_number) in [(1, 1), (1, 2), (2, 1), (2, 2), (3, 1), (3, 2)]: self.semesters.append( Semester.objects.create( year=year, number=semester_number, name="Test semester", competition=competition ) ) self.camps.append( Event.objects.create( name="KMS camp alpha", type=self.type_camp, semester=self.semesters[-1], place=self.place, start_time=self.time, end_time=self.time, ) ) if semester_number == 2: self.mo_finals.append( Event.objects.create( name="CKMO", type=self.type_mo, place=self.place, start_time=self.time + timezone.timedelta((year - 3) * 366), end_time=self.time + timezone.timedelta((year - 3) * 366), ) ) self.current_semester = self.semesters[-1] self.start = self.time + timezone.timedelta(2) self.end = self.time + timezone.timedelta(4) self.round = Round.objects.create( number=1, semester=self.current_semester, visible=True, solutions_visible=False, start_time=self.start, end_time=self.end, ) graduation_year = self.round.end_time.year + int( self.round.end_time.month > SCHOOL_YEAR_END_MONTH ) self.test_user = User.objects.create( username="test_user", password="password", first_name="Jozko", last_name="Mrkvicka", graduation=graduation_year + 3, ) self.tag = KMSRules.RESULTS_TAGS[KMS_BETA] def test_year_only(self): # Coefficient = 3: year = 3, successful semesters = 0, mo = 0 self.test_user.graduation -= 2 self.test_user.save() generator = KMSResultsGenerator(self.tag) self.assertEqual(generator.get_user_coefficient(self.test_user, self.round), 3) def test_camps_only(self): # Coefficient = 3: year = 1, successful semesters = 2, mo = 0 EventParticipant.objects.create( event=self.camps[5], user=self.test_user, type=EventParticipant.PARTICIPANT, going=True ) EventParticipant.objects.create( event=self.camps[4], user=self.test_user, type=EventParticipant.PARTICIPANT, going=True ) generator = KMSResultsGenerator(self.tag) self.assertEqual(generator.get_user_coefficient(self.test_user, self.round), 3) def test_camps_mo(self): # Coefficient = 7: year = 4, successful semesters = 1, mo = 2 self.test_user.graduation -= 3 self.test_user.save() EventParticipant.objects.create( event=self.camps[5], user=self.test_user, type=EventParticipant.PARTICIPANT, going=True ) EventParticipant.objects.create( event=self.mo_finals[1], user=self.test_user, type=EventParticipant.PARTICIPANT, going=True, ) EventParticipant.objects.create( event=self.mo_finals[0], user=self.test_user, type=EventParticipant.PARTICIPANT, going=True, ) generator = KMSResultsGenerator(self.tag) self.assertEqual(generator.get_user_coefficient(self.test_user, self.round), 7) def test_invited_to_both_camps(self): # Coefficient = 2: year = 1, successful semesters = 1, mo = 0 beta_camp = Event.objects.create( name="KMS camp beta", type=self.type_camp, semester=self.semesters[4], place=self.place, start_time=self.time, end_time=self.time, ) EventParticipant.objects.create( event=self.camps[4], user=self.test_user, type=EventParticipant.PARTICIPANT, going=False ) EventParticipant.objects.create( event=beta_camp, user=self.test_user, type=EventParticipant.PARTICIPANT, going=True ) generator = KMSResultsGenerator(self.tag) self.assertEqual(generator.get_user_coefficient(self.test_user, self.round), 2) def test_ignore_mo_in_same_semester(self): # Coefficient = 3: year = 1, successful semesters = 0, mo = 2 for mo_finals in self.mo_finals: EventParticipant.objects.create( event=mo_finals, user=self.test_user, type=EventParticipant.PARTICIPANT, going=True ) generator = KMSResultsGenerator(self.tag) self.assertEqual(generator.get_user_coefficient(self.test_user, self.round), 3) def test_ignore_not_going_reserve(self): # Coefficient = 1: year = 1, successful semesters = 0, mo = 0 EventParticipant.objects.create( event=self.camps[4], user=self.test_user, type=EventParticipant.RESERVE, going=False ) generator = KMSResultsGenerator(self.tag) self.assertEqual(generator.get_user_coefficient(self.test_user, self.round), 1) def test_count_not_going_participant(self): # Coefficient = 2: year = 1, successful semesters = 1, mo = 0 EventParticipant.objects.create( event=self.camps[4], user=self.test_user, type=EventParticipant.PARTICIPANT, going=False ) generator = KMSResultsGenerator(self.tag) self.assertEqual(generator.get_user_coefficient(self.test_user, self.round), 2) def test_many_camps(self): # Coefficient = 6: year = 1, successful semesters = 5, mo = 0 for i in range(5): EventParticipant.objects.create( event=self.camps[i], user=self.test_user, type=EventParticipant.PARTICIPANT, going=True, ) generator = KMSResultsGenerator(self.tag) self.assertEqual(generator.get_user_coefficient(self.test_user, self.round), 6) class KMSRulesTest(TestCase): def setUp(self): time = datetime.datetime(2004, 4, 7, 12, 47) self.time = timezone.make_aware(time) # pk = 7 sets rules to KMSRules self.competition = Competition.objects.create(name="TestCompetition", pk=7) self.competition.sites.add(Site.objects.get(pk=settings.SITE_ID)) self.competition.save() self.semester = Semester.objects.create( number=1, name="Test semester", competition=self.competition, year=47 ) self.start = self.time + timezone.timedelta(-4) self.end = self.time + timezone.timedelta(4) self.round = Round.objects.create( number=1, semester=self.semester, visible=True, solutions_visible=False, start_time=self.start, end_time=self.end, ) category_alfa = Category.objects.create(name=KMS_ALFA, competition=self.competition) category_beta = Category.objects.create(name=KMS_BETA, competition=self.competition) self.tasks = [] for i in range(1, 11): self.tasks.append( Task.objects.create( number=i, name="Test task {}".format(i), round=self.round, description_points_visible=True, ) ) cat = [] if i <= 7: cat += [category_alfa] if i >= 3: cat += [category_beta] self.tasks[-1].categories.set(cat) self.tasks[-1].save() self.group = Group.objects.create(name="skupina") self.url = reverse("view_latest_results") def _create_submits(self, user, points): for i in range(len(points)): if points[i] >= 0: submit = Submit.objects.create( task=self.tasks[i], user=user, submit_type=1, points=points[i], testing_status="reviewed", ) submit.time = self.end + timezone.timedelta(-1) submit.save() def _create_user_with_coefficient(self, coefficient, username="test_user"): graduation_year = ( self.round.end_time.year + 3 + int(self.round.end_time.month > SCHOOL_YEAR_END_MONTH) ) if coefficient < 4: graduation_year -= coefficient - 1 else: graduation_year -= 3 type_mo = EventType.objects.create( name=KMS_MO_FINALS_TYPE, is_camp=False, organizers_group=self.group ) place = EventPlace.objects.create(name="Horna dolna") user = User.objects.create( username=username, password="password", first_name="Jozko", last_name="Mrkvicka", graduation=graduation_year, ) for i in range(coefficient - 4): ckmo = Event.objects.create( name="CKMO", type=type_mo, place=place, start_time=self.time, end_time=self.time + timezone.timedelta(-(i + 1) * 366), ) EventParticipant.objects.create( event=ckmo, user=user, type=EventParticipant.PARTICIPANT, going=True ) return user def test_create_user_with_coefficient(self): for i in range(-4, 12): user = self._create_user_with_coefficient(i, "testuser%d" % i) generator = KMSResultsGenerator(KMSRules.RESULTS_TAGS[KMS_BETA]) self.assertEqual(generator.get_user_coefficient(user, self.round), i) def test_only_best_five(self): points = [9, 7, 0, 8, 4, 5, 4] active = [True] * 7 active[2] = False user = self._create_user_with_coefficient(1) self._create_submits(user, points) response = self.client.get("%s?single_round=True" % self.url) self.assertEqual(response.status_code, 200) scoreboard = get_scoreboard(response.context["scoreboards"], KMS_ALFA) col_to_index_map = get_col_to_index_map(scoreboard) row = get_row_for_user(scoreboard, user) self.assertEqual(row.cell_list[col_to_index_map[COEFFICIENT_COLUMN_KEY]].points, "1") self.assertEqual(row.cell_list[col_to_index_map["sum"]].points, "33") for i in range(1, 8): self.assertEqual(row.cell_list[col_to_index_map[i]].points, str(points[i - 1])) if i not in [5, 7]: self.assertEqual(row.cell_list[col_to_index_map[i]].active, active[i - 1]) self.assertTrue( row.cell_list[col_to_index_map[5]].active ^ row.cell_list[col_to_index_map[7]].active ) def test_only_best_five_halved_points(self): points = [-1, -1, -1, 9, 6, 8, 9, 9, 2, 10] active = [True] * 11 active[5] = False active[9] = False user = self._create_user_with_coefficient(9) self._create_submits(user, points) response = self.client.get("%s?single_round=True" % self.url) self.assertEqual(response.status_code, 200) scoreboard = get_scoreboard(response.context["scoreboards"], KMS_BETA) col_to_index_map = get_col_to_index_map(scoreboard) row = get_row_for_user(scoreboard, user) self.assertEqual(row.cell_list[col_to_index_map[COEFFICIENT_COLUMN_KEY]].points, "9") self.assertEqual(row.cell_list[col_to_index_map["sum"]].points, "41") for i in range(4, 11): self.assertEqual(row.cell_list[col_to_index_map[i]].points, str(points[i - 1])) self.assertEqual(row.cell_list[col_to_index_map[i]].active, active[i]) self.assertTrue( row.cell_list[col_to_index_map[5]].active ^ row.cell_list[col_to_index_map[7]].active ) def test_alfa_coeff_2(self): points = [9, 2, 3, 4, 5] user = self._create_user_with_coefficient(2) self._create_submits(user, points) response = self.client.get("%s?single_round=True" % self.url) self.assertEqual(response.status_code, 200) scoreboard = get_scoreboard(response.context["scoreboards"], KMS_ALFA) col_to_index_map = get_col_to_index_map(scoreboard) row = get_row_for_user(scoreboard, user) for i in range(1, 6): self.assertTrue(row.cell_list[col_to_index_map[i]].active) self.assertEqual(row.cell_list[col_to_index_map["sum"]].points, "19") def test_alfa_coeff_3(self): points = [1, 2, 3, 4, 5, 6] user = self._create_user_with_coefficient(3) self._create_submits(user, points) response = self.client.get("%s?single_round=True" % self.url) self.assertEqual(response.status_code, 200) scoreboard = get_scoreboard(response.context["scoreboards"], KMS_ALFA) col_to_index_map = get_col_to_index_map(scoreboard) row = get_row_for_user(scoreboard, user) for i in range(1, 2): self.assertFalse(row.cell_list[col_to_index_map[i]].active) for i in range(2, 7): self.assertTrue(row.cell_list[col_to_index_map[i]].active) self.assertEqual(row.cell_list[col_to_index_map["sum"]].points, "19") def test_beta_coeff_4(self): points = [-1, -1, 8, 4, 5, 6, 7] user = self._create_user_with_coefficient(4) self._create_submits(user, points) response = self.client.get("%s?single_round=True" % self.url) self.assertEqual(response.status_code, 200) scoreboard = get_scoreboard(response.context["scoreboards"], KMS_BETA) col_to_index_map = get_col_to_index_map(scoreboard) row = get_row_for_user(scoreboard, user) for i in range(3, 8): self.assertTrue(row.cell_list[col_to_index_map[i]].active) self.assertEqual(row.cell_list[col_to_index_map["sum"]].points, "26") def test_beta_coeff_8(self): points = [-1, -1, 3, 4, 5, 6, 7, 8] user = self._create_user_with_coefficient(8) self._create_submits(user, points) response = self.client.get("%s?single_round=True" % self.url) self.assertEqual(response.status_code, 200) scoreboard = get_scoreboard(response.context["scoreboards"], KMS_BETA) col_to_index_map = get_col_to_index_map(scoreboard) row = get_row_for_user(scoreboard, user) self.assertFalse(row.cell_list[col_to_index_map[3]].active) for i in range(4, 8): self.assertTrue(row.cell_list[col_to_index_map[i]].active) self.assertEqual(row.cell_list[col_to_index_map["sum"]].points, "28") def test_beta_coeff_9(self): points = [-1, -1, 3, 4, 6, 6, 7, 8] user = self._create_user_with_coefficient(9) self._create_submits(user, points) response = self.client.get("%s?single_round=True" % self.url) self.assertEqual(response.status_code, 200) scoreboard = get_scoreboard(response.context["scoreboards"], KMS_BETA) col_to_index_map = get_col_to_index_map(scoreboard) row = get_row_for_user(scoreboard, user) self.assertFalse(row.cell_list[col_to_index_map[3]].active) for i in range(4, 8): self.assertTrue(row.cell_list[col_to_index_map[i]].active) self.assertEqual(row.cell_list[col_to_index_map["sum"]].points, "26") def test_beta_only_user(self): points = [-1, -1, 2, 3, 4, 5, 6, 7, 8] user = self._create_user_with_coefficient(7) self._create_submits(user, points) response = self.client.get("%s?single_round=True" % self.url) self.assertEqual(response.status_code, 200) scoreboard = get_scoreboard(response.context["scoreboards"], KMS_BETA) row_beta = get_row_for_user(scoreboard, user) scoreboard = get_scoreboard(response.context["scoreboards"], KMS_ALFA) row_alfa = get_row_for_user(scoreboard, user) self.assertTrue(row_beta.active) self.assertFalse(row_alfa.active) def test_alfa_only_user(self): points = [1, 2, 3, 4, 5] user = self._create_user_with_coefficient(1) self._create_submits(user, points) response = self.client.get("%s?single_round=True" % self.url) self.assertEqual(response.status_code, 200) scoreboard = get_scoreboard(response.context["scoreboards"], KMS_BETA) row_beta = get_row_for_user(scoreboard, user) scoreboard = get_scoreboard(response.context["scoreboards"], KMS_ALFA) row_alfa = get_row_for_user(scoreboard, user) self.assertTrue(row_alfa.active) self.assertFalse(row_beta.active) def test_alfa_beta_user(self): points = [1, 2, 9, 4, 5, 6, 7, 8, 9, 10] user = self._create_user_with_coefficient(1) self._create_submits(user, points) response = self.client.get("%s?single_round=True" % self.url) self.assertEqual(response.status_code, 200) scoreboard = get_scoreboard(response.context["scoreboards"], KMS_BETA) col_to_index_map = get_col_to_index_map(scoreboard) row_beta = get_row_for_user(scoreboard, user) scoreboard = get_scoreboard(response.context["scoreboards"], KMS_ALFA) self.assertEqual(row_beta.cell_list[col_to_index_map["sum"]].points, "40") col_to_index_map = get_col_to_index_map(scoreboard) row_alfa = get_row_for_user(scoreboard, user) self.assertEqual(row_alfa.cell_list[col_to_index_map["sum"]].points, "31") class KSPRulesOneUserTest(TestCase): def setUp(self): competition = Competition.objects.create( name="TestKSP", pk=2 ) # pk = 2 sets rules to KSPRules competition.sites.add(Site.objects.get(pk=settings.SITE_ID)) self.last_semester_before_level_up = Semester.objects.create( number=1, name="Used for setting levels", competition=competition, year=0 ) self.semester = Semester.objects.create( number=1, name="Test semester", competition=competition, year=1 ) self.start = timezone.now() - timezone.timedelta(days=21) self.end = timezone.now() - timezone.timedelta(days=14) self.second_end = timezone.now() - timezone.timedelta(days=7) self.round = Round.objects.create( number=1, semester=self.semester, visible=True, solutions_visible=False, start_time=self.start, end_time=self.end, second_end_time=self.second_end, ) self.tasks = [] for i in range(1, 9): task = Task.objects.create( number=i, name="Test task {}".format(i), round=self.round, description_points_visible=True, ) task.save() self.tasks.append(task) self.tasks[2].integer_source_points = False self.tasks[2].save() graduation = timezone.now().year + 2 self.user = User.objects.create( username="TestUser", password="password", first_name="Jozko", last_name="Mrkvicka", graduation=graduation, ) self.url = reverse("view_latest_results") def _set_user_level_to(self, level): KSPLevel.objects.all().delete() KSPLevel.objects.create( user=self.user, new_level=level, last_semester_before_level_up=self.last_semester_before_level_up, ) def test_set_and_get_user_level(self): level = KSPLevel.objects.for_user_in_semester(self.semester.pk, self.user.pk) self.assertEqual(level, 1) self._set_user_level_to(4) level = KSPLevel.objects.for_user_in_semester(self.semester.pk, self.user.pk) self.assertEqual(level, 4) self._set_user_level_to(2) level = KSPLevel.objects.for_user_in_semester(self.semester.pk, self.user.pk) self.assertEqual(level, 2) def _create_submits(self, submit_definitions): for task_number, submit_type, submit_time, points in submit_definitions: submit = Submit.objects.create( task=self.tasks[task_number - 1], user=self.user, submit_type=submit_type, points=points, ) submit.time = submit_time if submit_type == DESCRIPTION: submit.testing_status = "reviewed" submit.save() def _assert_is_user_in_results_tables(self, in_which_tables_should_user_be): response = self.client.get(self.url) self.assertEqual(response.status_code, 200) for tag, should_be_in_table in zip( [KSP_ALL, KSP_L1, KSP_L2, KSP_L3, KSP_L4], in_which_tables_should_user_be ): scoreboard = get_scoreboard(response.context["scoreboards"], tag) row = get_row_for_user(scoreboard, self.user) is_in_table = row is not None and row.active if should_be_in_table: self.assertTrue(is_in_table, "User should be in results table {}".format(tag)) else: self.assertFalse(is_in_table, "User should not be in results table {}".format(tag)) def test_user_is_not_in_lower_level_results_table(self): self._create_submits( [ (1, SOURCE, self.start + timezone.timedelta(days=1), 10), (2, SOURCE, self.start + timezone.timedelta(days=1), 10), ] ) self._set_user_level_to(2) self._assert_is_user_in_results_tables([True, False, True, False, False]) self._create_submits( [ (7, SOURCE, self.start + timezone.timedelta(days=1), 10), (8, SOURCE, self.start + timezone.timedelta(days=1), 10), ] ) self._set_user_level_to(4) self._assert_is_user_in_results_tables([True, False, False, False, True]) def test_user_is_not_in_higher_level_results_table(self): self._create_submits( [ (1, SOURCE, self.start + timezone.timedelta(days=1), 10), (2, SOURCE, self.start + timezone.timedelta(days=1), 10), (3, SOURCE, self.start + timezone.timedelta(days=1), 10), ] ) self._set_user_level_to(1) self._assert_is_user_in_results_tables([True, True, False, False, False]) self._create_submits([(4, SOURCE, self.start + timezone.timedelta(days=1), 10)]) self._assert_is_user_in_results_tables([True, True, False, False, False]) self._create_submits([(5, SOURCE, self.start + timezone.timedelta(days=1), 10)]) self._assert_is_user_in_results_tables([True, True, True, False, False]) self._set_user_level_to(3) self._assert_is_user_in_results_tables([True, False, False, True, False]) def _bulk_set_task_points(self, points): # Use description points because task 2 has float points for source # and we want to have integral sum of points. submit_defs = [ (i, DESCRIPTION, self.start + timezone.timedelta(days=1), points) for i, points in enumerate(points, start=1) if points is not None ] self._create_submits(submit_defs) def _get_point_cells_for_tasks(self, results_tag=KSP_ALL): response = self.client.get(self.url) self.assertEqual(response.status_code, 200) scoreboard = get_scoreboard(response.context["scoreboards"], results_tag) col_to_index_map = get_col_to_index_map(scoreboard) row = get_row_for_user(scoreboard, self.user) return { k: row.cell_list[col_to_index_map[k]] for k in map(lambda c: c["key"], scoreboard.serialized_results["cols"]) } def _assert_active_cells(self, cells, which_cells_should_be_active): for i, should_be_active in enumerate(which_cells_should_be_active, start=1): if should_be_active is None: self.assertFalse(i in cells, "Cell for task {} should not be present.".format(i)) elif should_be_active: self.assertTrue(cells[i].active, "Cell for task {} should be active".format(i)) else: self.assertFalse(cells[i].active, "Cell for task {} should not be active".format(i)) def test_count_only_best_five_tasks_user_level_1(self): self._bulk_set_task_points([17, 1, 8, 14, 3, 10, 15, 9]) cells = self._get_point_cells_for_tasks(KSP_ALL) self.assertEqual(cells["sum"].points, str(17 + 15 + 14 + 10 + 9)) self._assert_active_cells(cells, [True, False, False, True, False, True, True, True]) cells = self._get_point_cells_for_tasks(KSP_L1) self.assertEqual(cells["sum"].points, str(17 + 15 + 14 + 10 + 9)) self._assert_active_cells(cells, [True, False, False, True, False, True, True, True]) cells = self._get_point_cells_for_tasks(KSP_L2) self.assertEqual(cells["sum"].points, str(15 + 14 + 10 + 9 + 8)) self._assert_active_cells(cells, [None, False, True, True, False, True, True, True]) cells = self._get_point_cells_for_tasks(KSP_L3) self.assertEqual(cells["sum"].points, str(15 + 14 + 10 + 9 + 8)) self._assert_active_cells(cells, [None, None, True, True, False, True, True, True]) cells = self._get_point_cells_for_tasks(KSP_L4) self.assertEqual(cells["sum"].points, str(15 + 14 + 10 + 9 + 3)) self._assert_active_cells(cells, [None, None, None, True, True, True, True, True]) def test_count_only_best_five_tasks_user_level_3(self): self._set_user_level_to(3) self._bulk_set_task_points([20, 18, 19, 15, 6, 3, 12, 17]) cells = self._get_point_cells_for_tasks(KSP_ALL) self.assertEqual(cells["sum"].points, str(19 + 17 + 15 + 12 + 6)) self._assert_active_cells(cells, [False, False, True, True, True, False, True, True]) cells = self._get_point_cells_for_tasks(KSP_L3) self.assertEqual(cells["sum"].points, str(19 + 17 + 15 + 12 + 6)) self._assert_active_cells(cells, [None, None, True, True, True, False, True, True]) cells = self._get_point_cells_for_tasks(KSP_L4) self.assertEqual(cells["sum"].points, str(17 + 15 + 12 + 6 + 3)) self._assert_active_cells(cells, [None, None, None, True, True, True, True, True]) def test_submits_in_first_phase(self): self._create_submits( [ (1, SOURCE, self.start + timezone.timedelta(days=1), 10), (2, SOURCE, self.start + timezone.timedelta(days=2), 8), ] ) cells = self._get_point_cells_for_tasks() self.assertEqual(cells[1].points, "10") self.assertEqual(cells[2].points, "8") self.assertEqual(cells[3].points, "") self.assertEqual(cells["sum"].points, "18") def test_zip_submit_in_first_phase(self): self._create_submits([(1, ZIP, self.start + timezone.timedelta(days=1), 10)]) cells = self._get_point_cells_for_tasks() self.assertEqual(cells[1].points, "10") self.assertEqual(cells["sum"].points, "10") def test_last_submit_in_first_phase(self): self._create_submits( [ (1, SOURCE, self.start + timezone.timedelta(days=1), 7), (1, SOURCE, self.start + timezone.timedelta(days=2), 9), (1, SOURCE, self.start + timezone.timedelta(days=3), 6), (2, SOURCE, self.start + timezone.timedelta(days=1), 3), (2, SOURCE, self.start + timezone.timedelta(days=4), 2), ] ) cells = self._get_point_cells_for_tasks() self.assertEqual(cells[1].points, "6") self.assertEqual(cells[2].points, "2") def test_submits_in_second_phase(self): self._create_submits( [ (1, SOURCE, self.end + timezone.timedelta(days=1), 7), (2, SOURCE, self.end + timezone.timedelta(days=2), 4), ] ) cells = self._get_point_cells_for_tasks() self.assertEqual(cells[1].points, "3.5") self.assertEqual(cells[2].points, "2") self.assertEqual(cells[3].points, "") self.assertEqual(cells["sum"].points, "5.5") def test_zip_submit_in_second_phase(self): self._create_submits([(1, ZIP, self.end + timezone.timedelta(days=1), 7)]) cells = self._get_point_cells_for_tasks() self.assertEqual(cells[1].points, "3.5") self.assertEqual(cells["sum"].points, "3.5") def test_last_submit_in_second_phase(self): self._create_submits( [ (1, SOURCE, self.end + timezone.timedelta(days=1), 8), (1, SOURCE, self.end + timezone.timedelta(days=2), 3), ] ) cells = self._get_point_cells_for_tasks() self.assertEqual(cells[1].points, "1.5") def test_submits_after_round_end(self): self._create_submits( [ (1, SOURCE, self.start + timezone.timedelta(days=1), 7), (1, SOURCE, self.second_end + timezone.timedelta(seconds=1), 10), (1, SOURCE, self.second_end + timezone.timedelta(days=1), 10), (2, SOURCE, self.second_end + timezone.timedelta(seconds=1), 13), (3, SOURCE, self.end + timezone.timedelta(seconds=1), 9), (3, SOURCE, self.second_end + timezone.timedelta(seconds=1), 10), ] ) cells = self._get_point_cells_for_tasks() self.assertEqual(cells[1].points, "7") self.assertEqual(cells[2].points, "") self.assertEqual(cells[3].points, "4.50") def test_submits_in_all_phases(self): self._create_submits( [ (1, SOURCE, self.start + timezone.timedelta(days=1), 6), (1, SOURCE, self.end + timezone.timedelta(days=1), 9), (1, SOURCE, self.second_end + timezone.timedelta(days=1), 10), (2, SOURCE, self.start + timezone.timedelta(days=1), 4), (2, SOURCE, self.end + timezone.timedelta(days=1), 8), (2, SOURCE, self.second_end + timezone.timedelta(days=1), 9), (3, SOURCE, self.start + timezone.timedelta(days=1), 4.32), (3, SOURCE, self.end + timezone.timedelta(days=1), 4.32 + 6.57), (3, SOURCE, self.second_end + timezone.timedelta(days=1), 20), ] ) cells = self._get_point_cells_for_tasks() self.assertEqual(cells[1].points, "7.5") self.assertEqual(cells[2].points, "6") self.assertEqual(cells[3].points, "{:.3f}".format(4.32 + 6.57 / 2)) def test_zip_submits_in_all_phases(self): self._create_submits( [ (2, ZIP, self.start + timezone.timedelta(days=1), 5), (2, ZIP, self.end + timezone.timedelta(days=1), 8), (2, ZIP, self.second_end + timezone.timedelta(days=1), 10), ] ) cells = self._get_point_cells_for_tasks() self.assertEqual(cells[2].points, "6.5") self.assertEqual(cells["sum"].points, "6.5") def test_fewer_points_in_second_phase(self): self._create_submits( [ (1, SOURCE, self.start + timezone.timedelta(days=1), 7), (1, SOURCE, self.end + timezone.timedelta(days=1), 4), (1, SOURCE, self.second_end + timezone.timedelta(days=1), 10), (2, SOURCE, self.start + timezone.timedelta(days=1), 10), (2, SOURCE, self.end + timezone.timedelta(days=1), 0), (2, SOURCE, self.second_end + timezone.timedelta(days=1), 5), ] ) cells = self._get_point_cells_for_tasks() self.assertEqual(cells[1].points, "7") self.assertEqual(cells[2].points, "10") def test_submits_with_desriptions(self): self._create_submits( [ (1, SOURCE, self.start + timezone.timedelta(days=1), 6), (1, SOURCE, self.end + timezone.timedelta(days=1), 8), (1, SOURCE, self.second_end + timezone.timedelta(days=1), 10), (1, DESCRIPTION, self.start + timezone.timedelta(days=1), 5), (2, SOURCE, self.start + timezone.timedelta(days=1), 9), (2, SOURCE, self.end + timezone.timedelta(days=1), 10), (2, SOURCE, self.second_end + timezone.timedelta(days=1), 5), (2, DESCRIPTION, self.start + timezone.timedelta(days=1), 3), (2, DESCRIPTION, self.second_end + timezone.timedelta(days=1), 9), ] ) cells = self._get_point_cells_for_tasks() self.assertEqual(cells[1].auto_points, "7") self.assertEqual(cells[1].manual_points, "5") self.assertEqual(cells[1].points, "12") self.assertEqual(cells[2].auto_points, "9.5") self.assertEqual(cells[2].manual_points, "9") self.assertEqual(cells[2].points, "18.5") def test_round_without_second_end(self): self.round.second_end_time = None self.round.save() self._create_submits( [ (1, SOURCE, self.start + timezone.timedelta(days=1), 2), (1, SOURCE, self.start + timezone.timedelta(days=2), 6), (1, SOURCE, self.end + timezone.timedelta(days=1), 10), (1, DESCRIPTION, self.start + timezone.timedelta(days=1), 4), (2, SOURCE, self.start + timezone.timedelta(days=1), 9), (2, SOURCE, self.start + timezone.timedelta(days=2), 5), (2, SOURCE, self.end + timezone.timedelta(days=1), 10), (2, DESCRIPTION, self.start + timezone.timedelta(days=1), 3), (2, DESCRIPTION, self.end + timezone.timedelta(days=10), 9), ] ) cells = self._get_point_cells_for_tasks() self.assertEqual(cells[1].auto_points, "6") self.assertEqual(cells[1].manual_points, "4") self.assertEqual(cells[1].points, "10") self.assertEqual(cells[2].auto_points, "5") self.assertEqual(cells[2].manual_points, "9") self.assertEqual(cells[2].points, "14") class SusiCoefficientTest(TestCase): def setUp(self): time = datetime.datetime(2007, 4, 7, 12, 47) self.time = timezone.make_aware(time) group = Group.objects.create(name="skupina") self.place = EventPlace.objects.create(name="Horna dolna") self.type_camp = EventType.objects.create( name=SUSI_CAMP_TYPE, organizers_group=group, is_camp=True ) self.type_camp_kms = EventType.objects.create( name=KMS_CAMP_TYPE, organizers_group=group, is_camp=True ) competition = Competition.objects.create(name="TestCompetition") competition.sites.add(Site.objects.get(pk=settings.SITE_ID)) self.semesters = [] self.camps = [] self.other_camps = [] for (year, semester_number) in [(1, 1), (1, 2), (2, 1), (2, 2), (3, 1), (3, 2)]: self.semesters.append( Semester.objects.create( year=year, number=semester_number, name="Test semester", competition=competition ) ) self.other_camps.append( Event.objects.create( name="KMS camp", type=self.type_camp_kms, semester=self.semesters[-1], place=self.place, start_time=self.time, end_time=self.time, ) ) self.camps.append( Event.objects.create( name="Susi camp", type=self.type_camp, semester=self.semesters[-1], place=self.place, start_time=self.time, end_time=self.time, ) ) self.current_semester = self.semesters[-1] self.start = self.time + timezone.timedelta(2) self.end = self.time + timezone.timedelta(4) self.round = Round.objects.create( number=1, semester=self.current_semester, visible=True, solutions_visible=False, start_time=self.start, end_time=self.end, second_end_time=self.end + timezone.timedelta(7), ) graduation_year = self.round.end_time.year + int( self.round.end_time.month > SCHOOL_YEAR_END_MONTH ) self.puzzlehunt_key = UserPropertyKey.objects.create( key_name=PUZZLEHUNT_PARTICIPATIONS_KEY_NAME, regex=r"^-?(\d{1,2})$" ) self.test_user = User.objects.create( username="test_user", password="password", first_name="Jozko", last_name="Mrkvicka", graduation=graduation_year + 3, ) UserProperty.objects.create(user=self.test_user, key=self.puzzlehunt_key, value="0") self.tag = SUSIRules.RESULTS_TAGS[SUSI_BLYSKAVICA] def test_susi_camps_only(self): # Coefficient = 5: successful semesters = 1, other camps = 0 EventParticipant.objects.create( event=self.camps[0], user=self.test_user, type=EventParticipant.PARTICIPANT, going=True ) generator = SUSIResultsGenerator(self.tag) self.assertEqual(generator.get_user_coefficient(self.test_user, self.round), 5) def test_other_camps_only(self): # Coefficient = 1: successful semesters = 0, other camps = 1 EventParticipant.objects.create( event=self.other_camps[0], user=self.test_user, type=EventParticipant.PARTICIPANT, going=True, ) generator = SUSIResultsGenerator(self.tag) self.assertEqual(generator.get_user_coefficient(self.test_user, self.round), 1) def test_all_camps(self): # Coefficient = 5: successful semesters = 1, other camps = 1 EventParticipant.objects.create( event=self.camps[0], user=self.test_user, type=EventParticipant.PARTICIPANT, going=True ) EventParticipant.objects.create( event=self.other_camps[0], user=self.test_user, type=EventParticipant.PARTICIPANT, going=True, ) generator = SUSIResultsGenerator(self.tag) self.assertEqual(generator.get_user_coefficient(self.test_user, self.round), 6) def test_ignore_not_going_reserve(self): # Coefficient = 0: successful semesters = 0, other camps = 0 EventParticipant.objects.create( event=self.camps[0], user=self.test_user, type=EventParticipant.RESERVE, going=False ) generator = SUSIResultsGenerator(self.tag) self.assertEqual(generator.get_user_coefficient(self.test_user, self.round), 0) def test_count_not_going_participant(self): # Coefficient = 5: successful semesters = 1, other camps = 0 EventParticipant.objects.create( event=self.camps[0], user=self.test_user, type=EventParticipant.PARTICIPANT, going=False ) generator = SUSIResultsGenerator(self.tag) self.assertEqual(generator.get_user_coefficient(self.test_user, self.round), 5) def test_ignore_not_going_participant_other_camp(self): # Coefficient = 0: successful semesters = 0, other camps = 0 EventParticipant.objects.create( event=self.other_camps[0], user=self.test_user, type=EventParticipant.PARTICIPANT, going=False, ) generator = SUSIResultsGenerator(self.tag) self.assertEqual(generator.get_user_coefficient(self.test_user, self.round), 0) def test_ignore_ckmo_participant(self): group = Group.objects.create(name="skupinamo") type_mo = EventType.objects.create( name=KMS_MO_FINALS_TYPE, organizers_group=group, is_camp=False ) ckmo = Event.objects.create( name="CKMO", type=type_mo, place=self.place, start_time=self.time, end_time=self.time, ) EventParticipant.objects.create( event=ckmo, user=self.test_user, type=EventParticipant.PARTICIPANT, going=True, ) generator = SUSIResultsGenerator(self.tag) self.assertEqual(generator.get_user_coefficient(self.test_user, self.round), 0) def test_many_camps(self): # Coefficient = 13: successful semesters = 2, other camps = 3 for i in range(2): EventParticipant.objects.create( event=self.camps[i], user=self.test_user, type=EventParticipant.PARTICIPANT, going=True, ) for i in range(3): EventParticipant.objects.create( event=self.other_camps[i], user=self.test_user, type=EventParticipant.PARTICIPANT, going=True, ) generator = SUSIResultsGenerator(self.tag) self.assertEqual(generator.get_user_coefficient(self.test_user, self.round), 13) def test_puzzle_hunt_participations(self): participations = UserProperty.objects.get(user=self.test_user, key=self.puzzlehunt_key) participations.value = "1" participations.save() generator = SUSIResultsGenerator(self.tag) self.assertEqual(generator.get_user_coefficient(self.test_user, self.round), 3) def test_coefficient_all(self): participations = UserProperty.objects.get(user=self.test_user, key=self.puzzlehunt_key) participations.value = "3" participations.save() EventParticipant.objects.create( event=self.camps[0], user=self.test_user, type=EventParticipant.PARTICIPANT, going=True ) for i in range(2): EventParticipant.objects.create( event=self.other_camps[i], user=self.test_user, type=EventParticipant.PARTICIPANT, going=True, ) generator = SUSIResultsGenerator(self.tag) self.assertEqual(generator.get_user_coefficient(self.test_user, self.round), 16) class SUSIRulesTest(TestCase): def setUp(self): time = datetime.datetime.now() self.time = timezone.make_aware(time) # pk = 9 sets rules to SUSIRules self.competition = Competition.objects.create(name="TestCompetition", pk=9) self.competition.sites.add(Site.objects.get(pk=settings.SITE_ID)) self.competition.save() self.semester = Semester.objects.create( number=1, name="Test semester", competition=self.competition, year=47 ) self.start = self.time + timezone.timedelta(-21) self.end = self.time + timezone.timedelta(4) self.round1 = Round.objects.create( number=1, semester=self.semester, visible=True, solutions_visible=False, start_time=self.start, end_time=self.end, second_end_time=self.end + timezone.timedelta(7), ) self.round2 = Round.objects.create( number=2, semester=self.semester, visible=True, solutions_visible=False, start_time=self.start, end_time=self.end + timezone.timedelta(7), second_end_time=self.end + timezone.timedelta(14), ) self.round_outdoor = Round.objects.create( number=SUSI_OUTDOOR_ROUND_NUMBER, semester=self.semester, visible=True, solutions_visible=False, start_time=self.start, end_time=self.end + timezone.timedelta(7), second_end_time=self.end + timezone.timedelta(14), ) self.group = Group.objects.create(name="skupina") self.type_camp = EventType.objects.create( name=SUSI_CAMP_TYPE, organizers_group=self.group, is_camp=True ) self.type_other_camp = EventType.objects.create( name=KMS_CAMP_TYPE, organizers_group=self.group, is_camp=True ) category_agat = Category.objects.create(name=SUSI_AGAT, competition=self.competition) category_blyskavica = Category.objects.create( name=SUSI_BLYSKAVICA, competition=self.competition ) category_cifersky_cech = Category.objects.create( name=SUSI_CIFERSKY_CECH, competition=self.competition ) self.tasks = [] for i in range(1, 9): self.tasks.append( Task.objects.create( number=i, name="Test task {}".format(i), round=self.round1, description_points_visible=True, ) ) cat = [category_cifersky_cech] if i <= 5: cat += [category_agat] if i >= 4: cat += [category_blyskavica] self.tasks[-1].categories.set(cat) self.tasks[-1].save() self.url = reverse("view_latest_results") self.puzzlehunt_key = UserPropertyKey.objects.create( key_name=PUZZLEHUNT_PARTICIPATIONS_KEY_NAME, regex=r"^-?(\d{1,2})$" ) def _create_submits(self, user, points): for i in range(len(points)): if points[i] >= 0: submit = Submit.objects.create( task=self.tasks[i], user=user, submit_type=submit_constants.SUBMIT_TYPE_TEXT, points=points[i], testing_status="reviewed", ) submit.time = self.end + timezone.timedelta(-1) submit.save() def _create_user_with_coefficient(self, coefficient, username="test_user"): user = User.objects.create( username=username, password="password", first_name="Jozko", last_name="Mrkvicka", graduation=self.round1.end_time.year + 3, ) UserProperty.objects.create(user=user, key=self.puzzlehunt_key, value="0") place = EventPlace.objects.create(name="Horna dolna") for i in range(coefficient): semester = Semester.objects.create( number=i + 1, name="Test semester", competition=self.competition, year=i + 1 ) camp = Event.objects.create( name="KMS camp", type=self.type_other_camp, semester=semester, place=place, start_time=self.time, end_time=self.time + timezone.timedelta(-(i + 1) * 30), ) EventParticipant.objects.create( event=camp, user=user, type=EventParticipant.PARTICIPANT, going=True ) return user def test_create_user_with_coefficient(self): for i in range(0, 12): user = self._create_user_with_coefficient(i, "testuser%d" % i) generator = SUSIResultsGenerator(SUSIRules.RESULTS_TAGS[SUSI_BLYSKAVICA]) self.assertEqual(generator.get_user_coefficient(user, self.round1), i) def test_blyskavica_only_user(self): points = [6, 2, 4, 0, 5, 1, 2, 2] user = self._create_user_with_coefficient(9) self._create_submits(user, points) response = self.client.get("%s?single_round=True" % self.url) self.assertEqual(response.status_code, 200) scoreboard = get_scoreboard(response.context["scoreboards"], SUSI_BLYSKAVICA) row_b = get_row_for_user(scoreboard, user) scoreboard = get_scoreboard(response.context["scoreboards"], SUSI_AGAT) row_a = get_row_for_user(scoreboard, user) scoreboard = get_scoreboard(response.context["scoreboards"], SUSI_CIFERSKY_CECH) self.assertTrue(row_b.active) self.assertFalse(row_a.active) def test_agat_only_user(self): points = [6, 2, 4, 0, 5] user = self._create_user_with_coefficient(8) self._create_submits(user, points) response = self.client.get("%s?single_round=True" % self.url) self.assertEqual(response.status_code, 200) scoreboard = get_scoreboard(response.context["scoreboards"], SUSI_BLYSKAVICA) row_b = get_row_for_user(scoreboard, user) scoreboard = get_scoreboard(response.context["scoreboards"], SUSI_AGAT) row_a = get_row_for_user(scoreboard, user) scoreboard = get_scoreboard(response.context["scoreboards"], SUSI_CIFERSKY_CECH) self.assertTrue(row_a.active) self.assertFalse(row_b.active) def test_cifersky_cech_user(self): points = [6, 2, 4, 0, 5, 1, 2, 2] user = self._create_user_with_coefficient(1) user.graduation = 10 user.save() self._create_submits(user, points) response = self.client.get("%s?single_round=True" % self.url) self.assertEqual(response.status_code, 200) scoreboard = get_scoreboard(response.context["scoreboards"], SUSI_BLYSKAVICA) row_b = get_row_for_user(scoreboard, user) scoreboard = get_scoreboard(response.context["scoreboards"], SUSI_AGAT) row_a = get_row_for_user(scoreboard, user) scoreboard = get_scoreboard(response.context["scoreboards"], SUSI_CIFERSKY_CECH) row_c = get_row_for_user(scoreboard, user) col_to_index_map = get_col_to_index_map(scoreboard) self.assertFalse(row_a.active) self.assertFalse(row_b.active) self.assertTrue(row_c.active) self.assertEqual(row_c.cell_list[col_to_index_map["sum"]].points, "22") def test_agat_blyskavica_user(self): points = [6, 2, 4, 0, 5, 1, 2, 2] user = self._create_user_with_coefficient(1) self._create_submits(user, points) response = self.client.get("%s?single_round=True" % self.url) self.assertEqual(response.status_code, 200) scoreboard = get_scoreboard(response.context["scoreboards"], SUSI_BLYSKAVICA) col_to_index_map_b = get_col_to_index_map(scoreboard) row_b = get_row_for_user(scoreboard, user) scoreboard = get_scoreboard(response.context["scoreboards"], SUSI_AGAT) col_to_index_map_a = get_col_to_index_map(scoreboard) row_a = get_row_for_user(scoreboard, user) self.assertEqual(row_a.cell_list[col_to_index_map_a["sum"]].points, "17") self.assertEqual(row_b.cell_list[col_to_index_map_b["sum"]].points, "10") def test_results_ordering(self): response = self.client.get("%s?single_round=True" % self.url) self.assertEqual(response.status_code, 200) scoreboard = get_scoreboard(response.context["scoreboards"], SUSI_AGAT) self.assertEqual(scoreboard.round.number, 1) self.round1.end_time = self.time + timezone.timedelta(-14) self.round1.second_end_time = self.time + timezone.timedelta(-7) self.round1.save() response = self.client.get("%s?single_round=True" % self.url) self.assertEqual(response.status_code, 200) scoreboard = get_scoreboard(response.context["scoreboards"], SUSI_AGAT) self.assertEqual(scoreboard.round.number, 2) self.round2.end_time = self.time + timezone.timedelta(-7) self.round2.second_end_time = self.time + timezone.timedelta(-1) self.round2.save() response = self.client.get("%s?single_round=True" % self.url) self.assertEqual(response.status_code, 200) scoreboard = get_scoreboard(response.context["scoreboards"], SUSI_AGAT) self.assertEqual(scoreboard.round.number, SUSI_OUTDOOR_ROUND_NUMBER) self.round_outdoor.end_time = self.time + timezone.timedelta(-7) self.round_outdoor.second_end_time = self.time + timezone.timedelta(-1) self.round_outdoor.save() response = self.client.get("%s?single_round=True" % self.url) self.assertEqual(response.status_code, 200) scoreboard = get_scoreboard(response.context["scoreboards"], SUSI_AGAT) self.assertEqual(scoreboard.round.number, SUSI_OUTDOOR_ROUND_NUMBER) class TextSubmitTest(TestCase): def setUp(self): time = datetime.datetime.now() self.time = timezone.make_aware(time) self.competition = Competition.objects.create(name="TestCompetition") self.competition.sites.add(Site.objects.get(pk=settings.SITE_ID)) self.competition.save() self.semester = Semester.objects.create( number=1, name="Test semester", competition=self.competition, year=47 ) self.start = self.time + timezone.timedelta(-4) self.end = self.time + timezone.timedelta(4) self.round = Round.objects.create( number=1, semester=self.semester, visible=True, solutions_visible=False, start_time=self.start, end_time=self.end, ) graduation_year = self.round.end_time.year + int( self.round.end_time.month > SCHOOL_YEAR_END_MONTH ) self.puzzlehunt_key = UserPropertyKey.objects.create( key_name=PUZZLEHUNT_PARTICIPATIONS_KEY_NAME, regex=r"^-?(\d{1,2})$" ) self.test_user = User.objects.create( username="test_user", password="password", first_name="Jozko", last_name="Mrkvicka", graduation=graduation_year + 3, ) UserProperty.objects.create(user=self.test_user, key=self.puzzlehunt_key, value="0") self.solutions = ["s", "so", "sol", "solutions"] def test_grade_text_submit(self): points = 6 task = Task.objects.create( number=1, name="Test task", round=self.round, description_points=points, description_points_visible=True, text_submit_solution=["a"], ) for real_solution in self.solutions: task.text_submit_solution = [real_solution] task.save() for user_solution in self.solutions: grading = self.competition.rules.grade_text_submit( task, self.test_user, user_solution ) if real_solution == user_solution: self.assertEqual(grading.response, submit_constants.SUBMIT_RESPONSE_OK) self.assertEqual(grading.points, points) else: self.assertEqual(grading.response, submit_constants.SUBMIT_RESPONSE_WA) self.assertEqual(grading.points, 0) def test_grade_text_in_susi_ignores_diacritic(self): points = 6 solutions = { "mačka": 1, "Macka": 1, "mac ka": 1, "ma čka": 1, "macká": 1, "mackab": 2, "mack": 3, "mačk": 3, "maška": 4, } task = Task.objects.create( number=1, name="Test task", round=self.round, description_points=points, description_points_visible=True, text_submit_solution=["a"], ) rules = SUSIRules() for real_solution, real_eq_class in solutions.items(): task.text_submit_solution = [real_solution] task.save() for user_solution, user_eq_class in solutions.items(): grading = rules.grade_text_submit(task, self.test_user, user_solution) if real_eq_class == user_eq_class: self.assertEqual(grading.response, submit_constants.SUBMIT_RESPONSE_OK) self.assertEqual(grading.points, points) else: self.assertEqual(grading.response, submit_constants.SUBMIT_RESPONSE_WA) self.assertEqual(grading.points, 0)

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6fa7591ed74386452a57fa956e4339f318627ce6

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py

Python

dcmrtstruct2nii/exceptions/invalidfileformatexception.py

Sikerdebaard/dcmrtstruct2mask

4f85bccd2d8ee95c34b399950ec5e528baad5e77

[ "Apache-2.0" ]

50

2019-01-23T13:32:07.000Z

2022-03-23T01:10:45.000Z

dcmrtstruct2nii/exceptions/invalidfileformatexception.py

Sikerdebaard/dcmrtstruct2mask

4f85bccd2d8ee95c34b399950ec5e528baad5e77

[ "Apache-2.0" ]

20

2019-07-11T12:30:28.000Z

2022-03-05T09:26:55.000Z

dcmrtstruct2nii/exceptions/invalidfileformatexception.py

Sikerdebaard/dcmrtstruct2mask

4f85bccd2d8ee95c34b399950ec5e528baad5e77

[ "Apache-2.0" ]

19

2019-07-20T08:07:12.000Z

2022-02-22T03:03:49.000Z

class InvalidFileFormatException(Exception): pass

18

44

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null

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6fc8e704567faeaead099fad9e0d5513236997f8

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py

Python

Chapter12/myproject_docker/apps/guerrilla_patches/models.py

PacktPublishing/Django-2-Web-Development-Cookbook-Third-Edition

f129613e2b1d00f5c76649025ae4d568f6286f2c

[ "MIT" ]

75

2018-12-03T02:35:29.000Z

2021-11-08T13:13:34.000Z

Chapter12/virtualenvs/myproject_env/project/django-myproject/guerrilla_patches/models.py

PacktPublishing/Django-2-Web-Development-Cookbook-Third-Edition

f129613e2b1d00f5c76649025ae4d568f6286f2c

[ "MIT" ]

3

2019-08-11T13:35:01.000Z

2020-09-29T06:52:36.000Z

Chapter12/myproject_docker/apps/guerrilla_patches/models.py

PacktPublishing/Django-2-Web-Development-Cookbook-Third-Edition

f129613e2b1d00f5c76649025ae4d568f6286f2c

[ "MIT" ]

45

2018-11-03T14:03:22.000Z

2021-08-25T07:39:33.000Z

from django.utils import text from transliterate import slugify text.slugify = slugify

17.6

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282

py

Python

jubakit/loader/odbc.py

vishalbelsare/jubakit

f6252ba627ce4e2e42eb9aafaaf05c882bc1c678

[ "MIT" ]

12

2016-04-11T04:49:08.000Z

2019-02-08T01:43:46.000Z

jubakit/loader/odbc.py

vishalbelsare/jubakit

f6252ba627ce4e2e42eb9aafaaf05c882bc1c678

[ "MIT" ]

138

2016-04-11T05:57:48.000Z

2020-09-26T03:09:31.000Z

jubakit/loader/odbc.py

vishalbelsare/jubakit

f6252ba627ce4e2e42eb9aafaaf05c882bc1c678

[ "MIT" ]

10

2016-04-11T03:18:45.000Z

2018-04-14T10:11:15.000Z

# -*- coding: utf-8 -*- from __future__ import absolute_import, division, print_function, unicode_literals from ..base import BaseLoader from ..compat import * class ODBCLoader(BaseLoader): """ Loader to process ODBC data sources. """ # TODO not implemented yet. pass

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d21dea2b3c1f2c2b5b474c9febb6ffa73ef5c01d

147

py

Python

inapppy/__init__.py

RamezIssac/InAppPy

f7e8a1f6646e2bd96f6a7e35b81cf030132e2424

[ "MIT" ]

null

inapppy/__init__.py

RamezIssac/InAppPy

f7e8a1f6646e2bd96f6a7e35b81cf030132e2424

[ "MIT" ]

null

inapppy/__init__.py

RamezIssac/InAppPy

f7e8a1f6646e2bd96f6a7e35b81cf030132e2424

[ "MIT" ]

null

from .appstore import AppStoreValidator from .googleplay import GooglePlayValidator, GooglePlayVerifier from .errors import InAppPyValidationError

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null

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5

d22e15b1d438684441fdea5c9d41c9183eff7ef5

118

py

Python

enthought/plugins/python_shell/view/namespace_view.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/plugins/python_shell/view/namespace_view.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/plugins/python_shell/view/namespace_view.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from __future__ import absolute_import from envisage.plugins.python_shell.view.namespace_view import *

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63

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118

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64

39.333333

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true

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0

null

0

1

0

1

0

1

0

5

d267e4bc64293e8b4f8268f3dc0af425279a58a4

371

py

Python

octicons16px/location.py

andrewp-as-is/octicons16px.py

1272dc9f290619d83bd881e87dbd723b0c48844c

[ "Unlicense" ]

1

2021-01-28T06:47:39.000Z

octicons16px/location.py

andrewp-as-is/octicons16px.py

1272dc9f290619d83bd881e87dbd723b0c48844c

[ "Unlicense" ]

null

octicons16px/location.py

andrewp-as-is/octicons16px.py

1272dc9f290619d83bd881e87dbd723b0c48844c

[ "Unlicense" ]

null

OCTICON_LOCATION = """ <svg class="octicon octicon-location" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16" width="16" height="16"><path fill-rule="evenodd" d="M11.536 3.464a5 5 0 010 7.072L8 14.07l-3.536-3.535a5 5 0 117.072-7.072v.001zm1.06 8.132a6.5 6.5 0 10-9.192 0l3.535 3.536a1.5 1.5 0 002.122 0l3.535-3.536zM8 9a2 2 0 100-4 2 2 0 000 4z"></path></svg> """

74.2

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343

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0.333333

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0

1

0

null

0

5

d2804cdc5668ac19caddec5222d4b6175d619a28

127

py

Python

docs/readme/test_misc.py

kalekundert/parametrize_from_file

59932f3e30d76735d996849d103c1c78060f0cd4

[ "MIT" ]

5

2021-04-21T16:43:01.000Z

2021-12-23T02:50:55.000Z

docs/readme/test_misc.py

kalekundert/parametrize_from_file

59932f3e30d76735d996849d103c1c78060f0cd4

[ "MIT" ]

14

2020-12-06T17:56:03.000Z

2022-03-31T00:14:23.000Z

docs/readme/test_misc.py

kalekundert/parametrize_from_file

59932f3e30d76735d996849d103c1c78060f0cd4

[ "MIT" ]

2

2021-08-18T02:39:20.000Z

2021-08-24T19:03:04.000Z

#!/usr/bin/env python3 import parametrize_from_file @parametrize_from_file def test_addition(a, b, c): assert a + b == c

15.875

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null

0

1

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5

9636bc09ffb6c0b17964d620a0899be6e03a5b7e

6,253

py

Python

tests/test_types.py

rohith-bs/dgraphpandas

29e91e2e7bb1d5d991ab94709a2d7e27f7dd7316

[ "MIT" ]

1

2022-02-28T17:34:11.000Z

tests/test_types.py

rohith-bs/dgraphpandas

29e91e2e7bb1d5d991ab94709a2d7e27f7dd7316

[ "MIT" ]

null

tests/test_types.py

rohith-bs/dgraphpandas

29e91e2e7bb1d5d991ab94709a2d7e27f7dd7316

[ "MIT" ]

1

2021-04-10T19:57:05.000Z

import unittest from dgraphpandas.types import find_rdf_types, default_rdf_type, find_dgraph_type, default_dgraph_type class TypesTests(unittest.TestCase): def test_find_rdf_types_null_types_exception(self): ''' Ensures when the types passed are null, then a value error is raised. ''' with self.assertRaises(ValueError): find_rdf_types(None) def test_find_rdf_types_some_types_resolvable(self): ''' Ensures when some of the types are resolvable to rdf those are resolved but the unresolvable are given the default rdf type. ''' types = { 'column1': 'int32', 'column2': 'float32', 'column3': 'something_unknown' } expected = { 'column1': '<xs:int>', 'column2': '<xs:float>', 'column3': default_rdf_type } resolved_types = find_rdf_types(types) self.assertEqual(expected, resolved_types) def test_find_rdf_types_all_resolvable(self): ''' Ensures when all the types are resolvable, they are all resolved. ''' types = { 'column1': 'object', 'column2': 'O', 'column3': 'int32', 'column4': 'int64', 'column5': 'int32', 'column6': 'int64', 'column7': 'float32', 'column8': 'float64', 'column9': 'float32', 'column10': 'float64', 'column11': 'datetime64', 'column12': '<M8[ns]', 'column13': 'bool', 'column14': 'int', 'column15': 'float', 'column16': 'string', 'column17': 'boolean', 'column18': 'datetime' } expected = { 'column1': '<xs:string>', 'column2': '<xs:string>', 'column3': '<xs:int>', 'column4': '<xs:int>', 'column5': '<xs:int>', 'column6': '<xs:int>', 'column7': '<xs:float>', 'column8': '<xs:float>', 'column9': '<xs:float>', 'column10': '<xs:float>', 'column11': '<xs:dateTime>', 'column12': '<xs:dateTime>', 'column13': '<xs:boolean>', 'column14': '<xs:int>', 'column15': '<xs:float>', 'column16': '<xs:string>', 'column17': '<xs:boolean>', 'column18': '<xs:dateTime>', } resolved_types = find_rdf_types(types) self.assertEqual(expected, resolved_types) def test_find_rdf_types_none_resolvable(self): ''' Ensures when none of the columns can be resolved, they are all resolved to default rdf type ''' types = { 'column1': 'unknown', 'column2': 'unknown2', 'column3': 'unknown3', 'column4': 'unknown4' } resolved_types = find_rdf_types(types) self.assertEqual(list(resolved_types.values()), [default_rdf_type]*4) def test_find_dgraph_types_null_types_exception(self): ''' Ensures when the types passed are null, then a value error is raised. ''' with self.assertRaises(ValueError): find_dgraph_type(None) def test_find_dgraph_types_some_types_resolvable(self): ''' Ensures when some of the types are resolvable to rdf those are resolved but the unresolvable are given the default rdf type. ''' types = { 'column1': 'int32', 'column2': 'float32', 'column3': 'something_unknown' } expected = { 'column1': 'int', 'column2': 'float', 'column3': default_dgraph_type } resolved_types = find_dgraph_type(types) self.assertEqual(expected, resolved_types) def test_find_dgraph_types_all_resolvable(self): ''' Ensures when all the types are resolvable, they are all resolved. ''' types = { 'column1': 'object', 'column2': 'O', 'column3': 'int32', 'column4': 'int64', 'column5': 'int32', 'column6': 'int64', 'column7': 'float32', 'column8': 'float64', 'column9': 'float32', 'column10': 'float64', 'column11': 'datetime64', 'column12': '<M8[ns]', 'column13': 'bool', 'column14': 'int', 'column15': 'float', 'column16': 'string', 'column17': 'boolean', 'column18': 'datetime' } expected = { 'column1': 'string', 'column2': 'string', 'column3': 'int', 'column4': 'int', 'column5': 'int', 'column6': 'int', 'column7': 'float', 'column8': 'float', 'column9': 'float', 'column10': 'float', 'column11': 'dateTime', 'column12': 'dateTime', 'column13': 'bool', 'column14': 'int', 'column15': 'float', 'column16': 'string', 'column17': 'bool', 'column18': 'dateTime', } resolved_types = find_dgraph_type(types) self.assertEqual(expected, resolved_types) def test_find_dgraph_types_none_resolvable(self): ''' Ensures when none of the columns can be resolved, they are all resolved to default rdf type ''' types = { 'column1': 'unknown', 'column2': 'unknown2', 'column3': 'unknown3', 'column4': 'unknown4' } resolved_types = find_dgraph_type(types) self.assertEqual(list(resolved_types.values()), [default_dgraph_type]*4)

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5

9641ef1db8f236b84aeb89c8887aeea043293b13

194

py

Python

proteinsolver/dashboard/__init__.py

ostrokach/proteinsolver

69ef0965a3fc3bf191804035b539720a06e58ba6

[ "MIT" ]

27

2020-05-04T11:06:20.000Z

2022-01-10T08:27:22.000Z

cookiecutter/src/models/PS/ProteinSolver/dashboard/__init__.py

FSGade/alphafold_epitopes

f878662cbdcfe72a4a262e25c559da633f0fb4cf

[ "MIT" ]

2

2021-04-19T10:47:39.000Z

2021-05-04T08:11:26.000Z

cookiecutter/src/models/PS/ProteinSolver/dashboard/__init__.py

FSGade/alphafold_epitopes

f878662cbdcfe72a4a262e25c559da633f0fb4cf

[ "MIT" ]

5

2020-10-05T05:53:23.000Z

2022-02-23T08:42:54.000Z

from .state import * from .target_selection import * from .gpu_status import * from .download_button import * from .ps_process import * from .run_proteinsolver import * from .structure import *

24.25

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1

0

null

0

1

0

1

0

5

96975715f4a327bcb4925b6be42b0ba02cffda88

165

py

Python

pydm/PyQt/__init__.py

KurtJacobson/pydm

5a5cbc6cdb218b77335a3c4ad57a4a49e060e20d

[ "BSD-3-Clause-LBNL" ]

89

2016-05-25T22:01:48.000Z

2022-03-02T16:21:03.000Z

pydm/PyQt/__init__.py

KurtJacobson/pydm

5a5cbc6cdb218b77335a3c4ad57a4a49e060e20d

[ "BSD-3-Clause-LBNL" ]

653

2016-10-15T01:45:02.000Z

2022-03-31T23:36:39.000Z

pydm/PyQt/__init__.py

KurtJacobson/pydm

5a5cbc6cdb218b77335a3c4ad57a4a49e060e20d

[ "BSD-3-Clause-LBNL" ]

56

2016-10-10T14:02:06.000Z

2022-03-24T14:35:24.000Z

import warnings warnings.warn( "'pydm.PyQt' is deprecated, " "please directly import from the 'qtpy' module. " "pydm.PyQt will be removed in PyDM v1.8")

33

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1

0

null

0

1

0

1

0

5

96ad60a3061a0bf931124910208aec316c412bee

6,911

py

Python

tests/unit/plugins/openstack/scenarios/nova/test_security_group.py

onecloud/gbp-rally

7589b1788c4de26bb66c531ef340ba080754f8c3

[ "Apache-2.0" ]

null

tests/unit/plugins/openstack/scenarios/nova/test_security_group.py

onecloud/gbp-rally

7589b1788c4de26bb66c531ef340ba080754f8c3

[ "Apache-2.0" ]

null

tests/unit/plugins/openstack/scenarios/nova/test_security_group.py

onecloud/gbp-rally

7589b1788c4de26bb66c531ef340ba080754f8c3

[ "Apache-2.0" ]

null

# Copyright 2014: Mirantis Inc. # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. import mock from rally.plugins.openstack.scenarios.nova import security_group from tests.unit import fakes from tests.unit import test SECGROUP = "rally.plugins.openstack.scenarios.nova.security_group" class FakeNeutronScenario(): def __enter__(self): return {} def __exit__(self, exc_type, exc_val, exc_tb): pass class NovaSecurityGroupTestCase(test.TestCase): def test_create_and_delete_security_groups(self): fake_secgroups = [fakes.FakeSecurityGroup(None, None, 1, "uuid1"), fakes.FakeSecurityGroup(None, None, 2, "uuid2")] nova_scenario = security_group.NovaSecGroup() nova_scenario._create_security_groups = mock.MagicMock( return_value=fake_secgroups) nova_scenario._create_rules_for_security_group = mock.MagicMock() nova_scenario._delete_security_groups = mock.MagicMock() security_group_count = 2 rules_per_security_group = 10 nova_scenario.create_and_delete_secgroups( security_group_count, rules_per_security_group) nova_scenario._create_security_groups.assert_called_once_with( security_group_count) nova_scenario._create_rules_for_security_group.assert_called_once_with( fake_secgroups, rules_per_security_group) nova_scenario._delete_security_groups.assert_called_once_with( fake_secgroups) def test_create_and_list_secgroups(self): fake_secgroups = [fakes.FakeSecurityGroup(None, None, 1, "uuid1"), fakes.FakeSecurityGroup(None, None, 2, "uuid2")] nova_scenario = security_group.NovaSecGroup() nova_scenario._create_security_groups = mock.MagicMock( return_value=fake_secgroups) nova_scenario._create_rules_for_security_group = mock.MagicMock() nova_scenario._list_security_groups = mock.MagicMock() security_group_count = 2 rules_per_security_group = 10 nova_scenario.create_and_list_secgroups( security_group_count, rules_per_security_group) nova_scenario._create_security_groups.assert_called_once_with( security_group_count) nova_scenario._create_rules_for_security_group.assert_called_once_with( fake_secgroups, rules_per_security_group) nova_scenario._list_security_groups.assert_called_once_with() def _generate_fake_server_with_sg(self, number_of_secgroups): sg_list = [] for i in range(number_of_secgroups): sg_list.append( fakes.FakeSecurityGroup(None, None, i, "uuid%s" % i)) return mock.MagicMock( list_security_group=mock.MagicMock(return_value=sg_list)), sg_list def _test_boot_and_delete_server_with_secgroups(self): fake_server, sg_list = self._generate_fake_server_with_sg(2) nova_scenario = security_group.NovaSecGroup() nova_scenario._create_security_groups = mock.MagicMock( return_value=sg_list) nova_scenario._create_rules_for_security_group = mock.MagicMock() nova_scenario._boot_server = mock.MagicMock(return_value=fake_server) nova_scenario._generate_random_name = mock.MagicMock( return_value="name") nova_scenario._delete_server = mock.MagicMock() nova_scenario._delete_security_groups = mock.MagicMock() image = "img" flavor = 1 security_group_count = 2 rules_per_security_group = 10 nova_scenario.boot_and_delete_server_with_secgroups( image, flavor, security_group_count, rules_per_security_group, fakearg="fakearg") nova_scenario._create_security_groups.assert_called_once_with( security_group_count) self.assertEqual(1, nova_scenario._generate_random_name.call_count) nova_scenario._create_rules_for_security_group.assert_called_once_with( sg_list, rules_per_security_group) nova_scenario._boot_server.assert_called_once_with( "name", image, flavor, security_groups=[sg.name for sg in sg_list], fakearg="fakearg") fake_server.list_security_group.assert_called_once_with() nova_scenario._delete_server.assert_called_once_with(fake_server) nova_scenario._delete_security_groups.assert_called_once_with(sg_list) def _test_boot_and_delete_server_with_sg_not_attached(self): fake_secgroups = [fakes.FakeSecurityGroup(None, None, 1, "uuid1"), fakes.FakeSecurityGroup(None, None, 2, "uuid2")] fake_server, sg_list = self._generate_fake_server_with_sg(1) nova_scenario = security_group.NovaSecGroup() nova_scenario._create_security_groups = mock.MagicMock( return_value=fake_secgroups) nova_scenario._create_rules_for_security_group = mock.MagicMock() nova_scenario._boot_server = mock.MagicMock(return_value=fake_server) nova_scenario._generate_random_name = mock.MagicMock( return_value="name") nova_scenario._delete_server = mock.MagicMock() nova_scenario._delete_security_groups = mock.MagicMock() image = "img" flavor = 1 security_group_count = 2 rules_per_security_group = 10 self.assertRaises(security_group.NovaSecurityGroupException, nova_scenario.boot_and_delete_server_with_secgroups, image, flavor, security_group_count, rules_per_security_group) nova_scenario._create_security_groups.assert_called_once_with( security_group_count) self.assertEqual(1, nova_scenario._generate_random_name.call_count) nova_scenario._create_rules_for_security_group.assert_called_once_with( fake_secgroups, rules_per_security_group) nova_scenario._boot_server.assert_called_once_with( "name", image, flavor, security_groups=[sg.name for sg in fake_secgroups]) fake_server.list_security_group.assert_called_once_with() nova_scenario._delete_server.assert_called_once_with(fake_server) nova_scenario._delete_security_groups.assert_called_once_with( fake_secgroups)

43.465409

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0.717552

834

6,911

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0.071084

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0.130435

0

null

0

1

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null

0

5

96bb55feace540aa0aa3d07f547619d09496aabc

3,089

py

Python

stats/migrations/0002_db_thinning.py

Zalewa/doomstats

b8a76e7fa5c88b94a3f04e2c4334349f6655b1ea

[ "BSD-2-Clause" ]

null

stats/migrations/0002_db_thinning.py

Zalewa/doomstats

b8a76e7fa5c88b94a3f04e2c4334349f6655b1ea

[ "BSD-2-Clause" ]

null

stats/migrations/0002_db_thinning.py

Zalewa/doomstats

b8a76e7fa5c88b94a3f04e2c4334349f6655b1ea

[ "BSD-2-Clause" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.11.11 on 2019-08-12 14:28 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('stats', '0001_initial'), ] operations = [ migrations.RemoveField( model_name='player', name='name', ), migrations.RemoveField( model_name='player', name='server', ), migrations.RemoveField( model_name='server', name='address', ), migrations.RemoveField( model_name='server', name='data', ), migrations.RemoveField( model_name='server', name='engine', ), migrations.RemoveField( model_name='server', name='refresh_batch', ), migrations.RemoveField( model_name='server', name='response', ), migrations.RemoveField( model_name='serverdata', name='engine_version', ), migrations.RemoveField( model_name='serverdata', name='game_mode', ), migrations.RemoveField( model_name='serverdata', name='iwad', ), migrations.RemoveField( model_name='serverdata', name='mapname', ), migrations.RemoveField( model_name='serverdata', name='name', ), migrations.RemoveField( model_name='serverdata', name='skill', ), migrations.RemoveField( model_name='serverdmflagsgroup', name='dmflags', ), migrations.RemoveField( model_name='serverdmflagsgroup', name='server_data', ), migrations.RemoveField( model_name='servergamefile', name='gamefile', ), migrations.RemoveField( model_name='servergamefile', name='server_data', ), migrations.RemoveField( model_name='servermodifier', name='cvar', ), migrations.RemoveField( model_name='servermodifier', name='server_data', ), migrations.DeleteModel( name='Address', ), migrations.DeleteModel( name='Cvar', ), migrations.DeleteModel( name='DmflagsGroup', ), migrations.DeleteModel( name='Player', ), migrations.DeleteModel( name='Server', ), migrations.DeleteModel( name='ServerData', ), migrations.DeleteModel( name='ServerDmflagsGroup', ), migrations.DeleteModel( name='ServerGameFile', ), migrations.DeleteModel( name='ServerModifier', ), migrations.DeleteModel( name='ServerResponse', ), ]

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739d50c805945a2ad73807fc92b919e1bd2ecadf

66

py

Python

BlockChain/CreateWallet/__init__.py

Kota95/CryptoCurrency

d5fc49b04f9eee8bf2b07ba0c8a11aca774e72fe

[ "MIT" ]

1

2021-07-02T10:14:59.000Z

BlockChain/CreateWallet/__init__.py

Kota95/CryptoCurrency

d5fc49b04f9eee8bf2b07ba0c8a11aca774e72fe

[ "MIT" ]

null

BlockChain/CreateWallet/__init__.py

Kota95/CryptoCurrency

d5fc49b04f9eee8bf2b07ba0c8a11aca774e72fe

[ "MIT" ]

null

from .generatekey import KeyGenerator from .VNRcoin import VNRcoin

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5

73cbbef69e85f224879ea9910422283ed8de7388

1,660

py

Python

policosm/readwrite/adjacency_matrix.py

ComplexCity/policosm

548d4d694df49603f91cd45af7fe50ced79aea68

[ "MIT" ]

6

2017-06-05T07:30:46.000Z

2022-03-07T00:47:22.000Z

policosm/readwrite/adjacency_matrix.py

ComplexCity/policosm

548d4d694df49603f91cd45af7fe50ced79aea68

[ "MIT" ]

1

2017-12-14T05:40:42.000Z

policosm/readwrite/adjacency_matrix.py

ComplexCity/policosm

548d4d694df49603f91cd45af7fe50ced79aea68

[ "MIT" ]

1

2020-10-22T19:18:30.000Z

"""Read and write graphs in adjacency matrix format. Adjacency matrix saves a graph as 1 - a list of vertices of size n 2 - a matrix of vertices x vertices of size n^2 The matrix is symmetrical if for an undirected graph. This implementation does not support mixed graphs (directed and undirected edges together). Format ------ adjacency matrix is made into two CSV. vertices.csv and edges.csv """ import geopandas as gpd def read_ajdm(vertices_filepath: str, edges_filepath: str, epsg: int) -> gpd.GeoDataFrame: # TODO write the reading function return None def write_adjm(gdf: gpd.GeoDataFrame, vertices_filepath: str, edges_filepath: str, epsg: int) -> None: """Write adjacency matrix from geopandas to path. Adjacency matrix is a square matrix of |vertices| x |vertices| indicating edges as an integer. Parameters ---------- gdf : geodataframe A geopandas dataframe vertices_filepath : file or string File or file name to write. File names ending in .gz or .bz2 will be compressed. edges_filepath : string (optional, default: 'utf-8') Encoding for text data. Examples -------- >>> Notes ----- This implementation does not support mixed graphs (directed and undirected edges together). The node id attribute is set to be the string of the node label. If you want to specify an id use set it as node data, e.g. node['a']['id']=1 to set the id of node 'a' to 1. References ---------- .. [1] GEXF File Format, https://gephi.org/gexf/format/ .. [2] GEXF viz schema 1.1, https://gephi.org/gexf/1.1draft/viz """ pass

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73d9b495a0cfddce6c844ff97814448f2cc42d45

224

py

Python

util.py

rrajasek95/lexrank-demo

f7c225217331894b9aaaa92e1b21974b16817bff

[ "BSD-2-Clause" ]

null

util.py

rrajasek95/lexrank-demo

f7c225217331894b9aaaa92e1b21974b16817bff

[ "BSD-2-Clause" ]

null

util.py

rrajasek95/lexrank-demo

f7c225217331894b9aaaa92e1b21974b16817bff

[ "BSD-2-Clause" ]

null

def preprocess_sotu_text(text): removed_applause_text = text.replace('(Applause.)', ' ') removed_ddash_text = removed_applause_text.replace('--', ' ') processed_text = removed_ddash_text return processed_text

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null

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5

73f3664ff974b22dc683ef09013aa2b362c3cf5f

139

py

Python

ApplicationServer/controllers/__init__.py

paltmey/scias

9006b85ad5a0084d7501413649e0679ba8adbe63

[ "MIT" ]

null

ApplicationServer/controllers/__init__.py

paltmey/scias

9006b85ad5a0084d7501413649e0679ba8adbe63

[ "MIT" ]

null

ApplicationServer/controllers/__init__.py

paltmey/scias

9006b85ad5a0084d7501413649e0679ba8adbe63

[ "MIT" ]

null

from search_controller import SearchController from static_controller import StaticController from video_controller import VideoController

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null

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0

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5

73fb02ae8e019d3bc60c7c0493b32d1d85728bf8

129

py

Python

PARAMETERS.py

wjsdjqqpxj/Image-featurizeImages-and-clustering

95595fe73a3adf0251a542c48ce47d755dd5724c

[ "MIT" ]

null

PARAMETERS.py

wjsdjqqpxj/Image-featurizeImages-and-clustering

95595fe73a3adf0251a542c48ce47d755dd5724c

[ "MIT" ]

null

PARAMETERS.py

wjsdjqqpxj/Image-featurizeImages-and-clustering

95595fe73a3adf0251a542c48ce47d755dd5724c

[ "MIT" ]

null

version https://git-lfs.github.com/spec/v1 oid sha256:36bb5dfcec4387c0661716a12f0f6b7879922a344793256d8cd24e38d49bdd48 size 4550

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129

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null

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1

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0

null

1

0

1

0

5

fbc23e665e7a74fa92a72df4432c26fdf25db40f

325

py

Python

Server/app/main/model/login_model.py

Niewidzialny84/PathFighters

9cf9cfcde60cb5e57c5c68ba995c34955b78caf9

[ "MIT" ]

9

2021-08-19T16:57:13.000Z

2022-01-25T16:14:11.000Z

Server/app/main/model/login_model.py

Niewidzialny84/PathFighters

9cf9cfcde60cb5e57c5c68ba995c34955b78caf9

[ "MIT" ]

29

2021-10-18T15:37:53.000Z

2022-01-26T08:28:37.000Z

Server/app/main/model/login_model.py

Niewidzialny84/PathFighters

9cf9cfcde60cb5e57c5c68ba995c34955b78caf9

[ "MIT" ]

1

2022-01-19T01:53:11.000Z

import json class Login(object): """ Login Model for storing login details. """ def __init__(self, username, password): self.username = username self.password = password def __repr__(self): return "{\"username\":\"'{}'\", \"password\":\"'{}'\"}".format(self.username, self.password)

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null

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1

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1

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5

837bdf46bda00422d0e0d2dd5c1adf8b0eee94bd

201

py

Python

menpofit/unified_aam_clm/__init__.py

grigorisg9gr/menpofit

c20c21d07894d72a5017431df8e881c80e635f50

[ "BSD-3-Clause" ]

124

2015-01-12T07:39:18.000Z

2022-03-31T05:27:07.000Z

menpofit/unified_aam_clm/__init__.py

grigorisg9gr/menpofit

c20c21d07894d72a5017431df8e881c80e635f50

[ "BSD-3-Clause" ]

80

2015-01-05T16:17:39.000Z

2020-11-22T13:42:00.000Z

menpofit/unified_aam_clm/__init__.py

grigorisg9gr/menpofit

c20c21d07894d72a5017431df8e881c80e635f50

[ "BSD-3-Clause" ]

64

2015-02-02T15:11:38.000Z

2022-02-28T06:19:31.000Z

from .base import UnifiedAAMCLM from .fitter import UnifiedAAMCLMFitter from .algorithm import (ProjectOutRegularisedLandmarkMeanShift, AlternatingRegularisedLandmarkMeanShift)

40.2

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0.78607

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201

12.153846

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201

4

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null

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null

0

1

0

1

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5

83cb953c73ec8bfc93a295d4648e7eca1adae310

101

py

Python

cascadenet/util/strutil.py

myyaqubpython/https-github.com-cq615-Deep-MRI-Reconstruction

4484cff9f1e19ff9874c279c5c5d6cf2a317ddbf

[ "Apache-2.0" ]

260

2017-05-31T15:05:02.000Z

2022-03-25T11:17:12.000Z

cascadenet/util/strutil.py

chrisyxue/Deep-MRI-Reconstruction

d8a40efd892e57799c3413630e5cb92d5b035cf8

[ "Apache-2.0" ]

7

2017-11-09T07:07:00.000Z

2020-02-24T12:02:24.000Z

cascadenet/util/strutil.py

chrisyxue/Deep-MRI-Reconstruction

d8a40efd892e57799c3413630e5cb92d5b035cf8

[ "Apache-2.0" ]

103

2017-05-31T22:49:17.000Z

2022-03-01T18:35:20.000Z

import lasagne from lasagne.layers import get_all_layers from collections import deque, defaultdict

20.2

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null

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1

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5

83d416e231884b4d6737491f992d4b2612357970

15,502

py

Python

tests/preprocessors/linux.py

hyuunnn/plaso

f888173c707126f117e1b6b53e89660d5a04f702

[ "Apache-2.0" ]

1

2021-10-08T13:23:44.000Z

tests/preprocessors/linux.py

hyuunnn/plaso

f888173c707126f117e1b6b53e89660d5a04f702

[ "Apache-2.0" ]

null

tests/preprocessors/linux.py

hyuunnn/plaso

f888173c707126f117e1b6b53e89660d5a04f702

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """Tests for the Linux preprocess plug-ins.""" import unittest from dfvfs.helpers import fake_file_system_builder from dfvfs.path import fake_path_spec from plaso.preprocessors import linux from tests.preprocessors import test_lib class LinuxHostnamePluginTest(test_lib.ArtifactPreprocessorPluginTestCase): """Tests for the Linux hostname plugin.""" _FILE_DATA = b'plaso.kiddaland.net\n' def testParseFileData(self): """Tests the _ParseFileData function.""" file_system_builder = fake_file_system_builder.FakeFileSystemBuilder() file_system_builder.AddFile('/etc/hostname', self._FILE_DATA) mount_point = fake_path_spec.FakePathSpec(location='/') plugin = linux.LinuxHostnamePlugin() test_mediator = self._RunPreprocessorPluginOnFileSystem( file_system_builder.file_system, mount_point, None, plugin) hostname = test_mediator.knowledge_base.GetHostname() self.assertEqual(hostname, 'plaso.kiddaland.net') class LinuxDistributionPluginTest(test_lib.ArtifactPreprocessorPluginTestCase): """Tests for the Linux distribution plugin.""" _FILE_DATA = b'Fedora release 26 (Twenty Six)\n' def testParseFileData(self): """Tests the _ParseFileData function.""" file_system_builder = fake_file_system_builder.FakeFileSystemBuilder() file_system_builder.AddFile('/etc/system-release', self._FILE_DATA) mount_point = fake_path_spec.FakePathSpec(location='/') plugin = linux.LinuxDistributionPlugin() test_mediator = self._RunPreprocessorPluginOnFileSystem( file_system_builder.file_system, mount_point, None, plugin) system_product = test_mediator.knowledge_base.GetValue( 'operating_system_product') self.assertEqual(system_product, 'Fedora release 26 (Twenty Six)') class LinuxIssueFilePluginTest(test_lib.ArtifactPreprocessorPluginTestCase): """Tests for the Linux issue file plugin.""" _FILE_DATA = b"""\ Debian GNU/Linux 5.0 \\n \\l """ def testParseFileData(self): """Tests the _ParseFileData function.""" file_system_builder = fake_file_system_builder.FakeFileSystemBuilder() file_system_builder.AddFile('/etc/issue', self._FILE_DATA) mount_point = fake_path_spec.FakePathSpec(location='/') plugin = linux.LinuxIssueFilePlugin() test_mediator = self._RunPreprocessorPluginOnFileSystem( file_system_builder.file_system, mount_point, None, plugin) system_product = test_mediator.knowledge_base.GetValue( 'operating_system_product') self.assertEqual(system_product, 'Debian GNU/Linux 5.0') class LinuxStandardBaseReleasePluginTest( test_lib.ArtifactPreprocessorPluginTestCase): """Tests for the Linux standard base (LSB) release plugin.""" _FILE_DATA = b"""\ DISTRIB_CODENAME=trusty DISTRIB_DESCRIPTION="Ubuntu 14.04 LTS" DISTRIB_ID=Ubuntu DISTRIB_RELEASE=14.04""" def testParseFileData(self): """Tests the _ParseFileData function.""" file_system_builder = fake_file_system_builder.FakeFileSystemBuilder() file_system_builder.AddFile('/etc/lsb-release', self._FILE_DATA) mount_point = fake_path_spec.FakePathSpec(location='/') plugin = linux.LinuxStandardBaseReleasePlugin() test_mediator = self._RunPreprocessorPluginOnFileSystem( file_system_builder.file_system, mount_point, None, plugin) system_product = test_mediator.knowledge_base.GetValue( 'operating_system_product') self.assertEqual(system_product, 'Ubuntu 14.04 LTS') class LinuxSystemdOperatingSystemPluginTest( test_lib.ArtifactPreprocessorPluginTestCase): """Tests for the Linux operating system release plugin.""" _FILE_DATA = b"""\ NAME=Fedora VERSION="26 (Workstation Edition)" ID=fedora VERSION_ID=26 PRETTY_NAME="Fedora 26 (Workstation Edition)" ANSI_COLOR="0;34" CPE_NAME="cpe:/o:fedoraproject:fedora:26" HOME_URL="https://fedoraproject.org/" BUG_REPORT_URL="https://bugzilla.redhat.com/" REDHAT_BUGZILLA_PRODUCT="Fedora" REDHAT_BUGZILLA_PRODUCT_VERSION=26 REDHAT_SUPPORT_PRODUCT="Fedora" REDHAT_SUPPORT_PRODUCT_VERSION=26 PRIVACY_POLICY_URL=https://fedoraproject.org/wiki/Legal:PrivacyPolicy VARIANT="Workstation Edition" VARIANT_ID=workstation""" def testParseFileData(self): """Tests the _ParseFileData function.""" file_system_builder = fake_file_system_builder.FakeFileSystemBuilder() file_system_builder.AddFile('/etc/os-release', self._FILE_DATA) mount_point = fake_path_spec.FakePathSpec(location='/') plugin = linux.LinuxSystemdOperatingSystemPlugin() test_mediator = self._RunPreprocessorPluginOnFileSystem( file_system_builder.file_system, mount_point, None, plugin) system_product = test_mediator.knowledge_base.GetValue( 'operating_system_product') self.assertEqual(system_product, 'Fedora 26 (Workstation Edition)') class LinuxTimeZonePluginTest(test_lib.ArtifactPreprocessorPluginTestCase): """Tests for the Linux time zone plugin.""" def testParseFileEntryWithLink(self): """Tests the _ParseFileEntry function on a symbolic link.""" file_system_builder = fake_file_system_builder.FakeFileSystemBuilder() file_system_builder.AddSymbolicLink( '/etc/localtime', '/usr/share/zoneinfo/Europe/Zurich') mount_point = fake_path_spec.FakePathSpec(location='/') storage_writer = self._CreateTestStorageWriter() plugin = linux.LinuxTimeZonePlugin() test_mediator = self._RunPreprocessorPluginOnFileSystem( file_system_builder.file_system, mount_point, storage_writer, plugin) self.assertEqual(storage_writer.number_of_preprocessing_warnings, 0) self.assertEqual( test_mediator.knowledge_base.timezone.zone, 'Europe/Zurich') def testParseFileEntryWithBogusLink(self): """Tests the _ParseFileEntry function on a bogus symbolic link.""" file_system_builder = fake_file_system_builder.FakeFileSystemBuilder() file_system_builder.AddSymbolicLink( '/etc/localtime', '/usr/share/zoneinfo/Bogus') mount_point = fake_path_spec.FakePathSpec(location='/') storage_writer = self._CreateTestStorageWriter() plugin = linux.LinuxTimeZonePlugin() test_mediator = self._RunPreprocessorPluginOnFileSystem( file_system_builder.file_system, mount_point, storage_writer, plugin) self.assertEqual(storage_writer.number_of_preprocessing_warnings, 1) self.assertEqual(test_mediator.knowledge_base.timezone.zone, 'UTC') def testParseFileEntryWithTZif(self): """Tests the _ParseFileEntry function on a timezone information file.""" test_file_path = self._GetTestFilePath(['localtime.tzif']) self._SkipIfPathNotExists(test_file_path) file_system_builder = fake_file_system_builder.FakeFileSystemBuilder() file_system_builder.AddFileReadData('/etc/localtime', test_file_path) mount_point = fake_path_spec.FakePathSpec(location='/') storage_writer = self._CreateTestStorageWriter() plugin = linux.LinuxTimeZonePlugin() test_mediator = self._RunPreprocessorPluginOnFileSystem( file_system_builder.file_system, mount_point, storage_writer, plugin) self.assertEqual(storage_writer.number_of_preprocessing_warnings, 0) self.assertEqual(test_mediator.knowledge_base.timezone.zone, 'CET') def testParseFileEntryWithBogusTZif(self): """Tests the _ParseFileEntry function on a bogus TZif file.""" test_file_path = self._GetTestFilePath(['syslog']) self._SkipIfPathNotExists(test_file_path) file_system_builder = fake_file_system_builder.FakeFileSystemBuilder() file_system_builder.AddFileReadData('/etc/localtime', test_file_path) mount_point = fake_path_spec.FakePathSpec(location='/') storage_writer = self._CreateTestStorageWriter() plugin = linux.LinuxTimeZonePlugin() test_mediator = self._RunPreprocessorPluginOnFileSystem( file_system_builder.file_system, mount_point, storage_writer, plugin) self.assertEqual(storage_writer.number_of_preprocessing_warnings, 1) self.assertEqual(test_mediator.knowledge_base.timezone.zone, 'UTC') class LinuxUserAccountsPluginTest(test_lib.ArtifactPreprocessorPluginTestCase): """Tests for the Linux user accounts plugin.""" _FILE_DATA = ( b'root:x:0:0:root:/root:/bin/bash\n' b'bin:x:1:1:bin:/bin:/sbin/nologin\n' b'daemon:x:2:2:daemon:/sbin:/sbin/nologin\n' b'adm:x:3:4:adm:/var/adm:/sbin/nologin\n' b'lp:x:4:7:lp:/var/spool/lpd:/sbin/nologin\n' b'sync:x:5:0:sync:/sbin:/bin/sync\n' b'shutdown:x:6:0:shutdown:/sbin:/sbin/shutdown\n' b'halt:x:7:0:halt:/sbin:/sbin/halt\n' b'mail:x:8:12:mail:/var/spool/mail:/sbin/nologin\n' b'operator:x:11:0:operator:/root:/sbin/nologin\n' b'games:x:12:100:games:/usr/games:/sbin/nologin\n' b'ftp:x:14:50:FTP User:/var/ftp:/sbin/nologin\n' b'nobody:x:99:99:Nobody:/:/sbin/nologin\n') def testParseFileData(self): """Tests the _ParseFileData function.""" file_system_builder = fake_file_system_builder.FakeFileSystemBuilder() file_system_builder.AddFile('/etc/passwd', self._FILE_DATA) mount_point = fake_path_spec.FakePathSpec(location='/') storage_writer = self._CreateTestStorageWriter() plugin = linux.LinuxUserAccountsPlugin() test_mediator = self._RunPreprocessorPluginOnFileSystem( file_system_builder.file_system, mount_point, storage_writer, plugin) self.assertEqual(storage_writer.number_of_preprocessing_warnings, 0) users = sorted( test_mediator.knowledge_base.user_accounts, key=lambda user_account: user_account.identifier) self.assertEqual(len(users), 13) user_account = users[4] self.assertEqual(user_account.identifier, '14') self.assertEqual(user_account.group_identifier, '50') self.assertEqual(user_account.user_directory, '/var/ftp') self.assertEqual(user_account.username, 'ftp') self.assertEqual(user_account.shell, '/sbin/nologin') # Test on /etc/passwd with missing field. file_system_builder = fake_file_system_builder.FakeFileSystemBuilder() file_system_builder.AddFile( '/etc/passwd', b'error:99:99:Nobody:/home/error:/sbin/nologin\n') mount_point = fake_path_spec.FakePathSpec(location='/') storage_writer = self._CreateTestStorageWriter() plugin = linux.LinuxUserAccountsPlugin() test_mediator = self._RunPreprocessorPluginOnFileSystem( file_system_builder.file_system, mount_point, storage_writer, plugin) self.assertEqual(storage_writer.number_of_preprocessing_warnings, 1) # Test on /etc/passwd with empty username. file_system_builder = fake_file_system_builder.FakeFileSystemBuilder() file_system_builder.AddFile( '/etc/passwd', b':x:99:99:Nobody:/home/error:/sbin/nologin\n') mount_point = fake_path_spec.FakePathSpec(location='/') storage_writer = self._CreateTestStorageWriter() plugin = linux.LinuxUserAccountsPlugin() test_mediator = self._RunPreprocessorPluginOnFileSystem( file_system_builder.file_system, mount_point, storage_writer, plugin) self.assertEqual(storage_writer.number_of_preprocessing_warnings, 1) # Test on /etc/passwd with empty user identifier. file_system_builder = fake_file_system_builder.FakeFileSystemBuilder() file_system_builder.AddFile( '/etc/passwd', b'error:x::99:Nobody:/home/error:/sbin/nologin\n') mount_point = fake_path_spec.FakePathSpec(location='/') storage_writer = self._CreateTestStorageWriter() plugin = linux.LinuxUserAccountsPlugin() test_mediator = self._RunPreprocessorPluginOnFileSystem( file_system_builder.file_system, mount_point, storage_writer, plugin) self.assertEqual(storage_writer.number_of_preprocessing_warnings, 1) # Test on /etc/passwd with non UTF-8 username. file_system_builder = fake_file_system_builder.FakeFileSystemBuilder() file_system_builder.AddFile( '/etc/passwd', b'er\xbfor:x:99:99:Nobody:/home/error:/sbin/nologin\n') mount_point = fake_path_spec.FakePathSpec(location='/') storage_writer = self._CreateTestStorageWriter() plugin = linux.LinuxUserAccountsPlugin() test_mediator = self._RunPreprocessorPluginOnFileSystem( file_system_builder.file_system, mount_point, storage_writer, plugin) self.assertEqual(storage_writer.number_of_preprocessing_warnings, 1) # Test on /etc/passwd with non UTF-8 user identifier. file_system_builder = fake_file_system_builder.FakeFileSystemBuilder() file_system_builder.AddFile( '/etc/passwd', b'error:x:\xbf9:99:Nobody:/home/error:/sbin/nologin\n') mount_point = fake_path_spec.FakePathSpec(location='/') storage_writer = self._CreateTestStorageWriter() plugin = linux.LinuxUserAccountsPlugin() test_mediator = self._RunPreprocessorPluginOnFileSystem( file_system_builder.file_system, mount_point, storage_writer, plugin) self.assertEqual(storage_writer.number_of_preprocessing_warnings, 1) # Test on /etc/passwd with non UTF-8 group identifier. file_system_builder = fake_file_system_builder.FakeFileSystemBuilder() file_system_builder.AddFile( '/etc/passwd', b'error:x:99:\xbf9:Nobody:/home/error:/sbin/nologin\n') mount_point = fake_path_spec.FakePathSpec(location='/') storage_writer = self._CreateTestStorageWriter() plugin = linux.LinuxUserAccountsPlugin() test_mediator = self._RunPreprocessorPluginOnFileSystem( file_system_builder.file_system, mount_point, storage_writer, plugin) self.assertEqual(storage_writer.number_of_preprocessing_warnings, 1) # Test on /etc/passwd with non UTF-8 full name. file_system_builder = fake_file_system_builder.FakeFileSystemBuilder() file_system_builder.AddFile( '/etc/passwd', b'error:x:99:99:Nob\xbfdy:/home/error:/sbin/nologin\n') mount_point = fake_path_spec.FakePathSpec(location='/') storage_writer = self._CreateTestStorageWriter() plugin = linux.LinuxUserAccountsPlugin() test_mediator = self._RunPreprocessorPluginOnFileSystem( file_system_builder.file_system, mount_point, storage_writer, plugin) self.assertEqual(storage_writer.number_of_preprocessing_warnings, 1) # Test on /etc/passwd with non UTF-8 user directory. file_system_builder = fake_file_system_builder.FakeFileSystemBuilder() file_system_builder.AddFile( '/etc/passwd', b'error:x:99:99:Nobody:/home/er\xbfor:/sbin/nologin\n') mount_point = fake_path_spec.FakePathSpec(location='/') storage_writer = self._CreateTestStorageWriter() plugin = linux.LinuxUserAccountsPlugin() test_mediator = self._RunPreprocessorPluginOnFileSystem( file_system_builder.file_system, mount_point, storage_writer, plugin) self.assertEqual(storage_writer.number_of_preprocessing_warnings, 1) # Test on /etc/passwd with non UTF-8 shell. file_system_builder = fake_file_system_builder.FakeFileSystemBuilder() file_system_builder.AddFile( '/etc/passwd', b'error:x:99:99:Nobody:/home/error:/sbin/nol\xbfgin\n') mount_point = fake_path_spec.FakePathSpec(location='/') storage_writer = self._CreateTestStorageWriter() plugin = linux.LinuxUserAccountsPlugin() test_mediator = self._RunPreprocessorPluginOnFileSystem( file_system_builder.file_system, mount_point, storage_writer, plugin) self.assertEqual(storage_writer.number_of_preprocessing_warnings, 1) if __name__ == '__main__': unittest.main()

38.85213

79

0.764869

1,800

15,502

6.285

0.122222

0.084858

0.115708

0.037125

0.792186

0.774949

0.768762

0.726156

0.718731

0

0.009883

0.131918

15,502

398

80

38.949749

0.830794

0.081151

0

0.608696

0

0.023715

0.161281

0.098282

0

0.114625

1

0.039526

false

0.039526

0.019763

0

0.110672

0

null

0

1

0

null

0

5

83d45ac5724385645ab42d51a23f25f6a3abeefd

66

py

Python

chatbot/__main__.py

WLAN-Pi/wlanpi-chat-bot

c0dff0779eb873bd074fd0a579798252e4018ee2

[ "MIT" ]

1

2021-12-05T06:25:17.000Z

chatbot/__main__.py

WLAN-Pi/wlanpi-chat-bot

c0dff0779eb873bd074fd0a579798252e4018ee2

[ "MIT" ]

6

2021-12-07T01:18:57.000Z

2022-02-18T05:05:24.000Z

chatbot/__main__.py

WLAN-Pi/wlanpi-chat-bot

c0dff0779eb873bd074fd0a579798252e4018ee2

[ "MIT" ]

1

2021-07-17T20:09:47.000Z

import sys from chatbot import chatbot sys.exit(chatbot.main())

11

27

0.772727

10

66

5.1

0.6

0

0.136364

66

5

28

13.2

0.894737

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

83e649da2c41c15e0b69e8b26ecd6407166037be

31

py

Python

doc/demo/demo.py

monaqa/satysfi-code-printer

5059547f403a6845a1d06084f86304034eedc37c

[ "MIT" ]

8

2021-09-03T12:58:40.000Z

2022-01-18T00:18:25.000Z

doc/demo/demo.py

monaqa/satysfi-code-printer

5059547f403a6845a1d06084f86304034eedc37c

[ "MIT" ]

3

2021-09-05T10:06:35.000Z

2021-09-11T09:16:15.000Z

doc/demo/demo.py

monaqa/satysfi-code-printer

5059547f403a6845a1d06084f86304034eedc37c

[ "MIT" ]

1

2021-09-05T11:55:06.000Z

# commnet print('Hello World!')

15.5

21

0.709677

4

31

5.5

1

0

0.096774

31

2

21

15.5

0.785714

0.225806

0

0.521739

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

f7a927f225c5eb51aecd1e3b37bb64be01f369f3

191

py

Python

mujoco/setup1/jax_rl/wrappers/single_precision.py

EvieQ01/Learning-Feasibility-Different-Dynamics

73786b11137b8ba9840d00ec4d258c1296b0a595

[ "MIT" ]

null

mujoco/setup1/jax_rl/wrappers/single_precision.py

EvieQ01/Learning-Feasibility-Different-Dynamics

73786b11137b8ba9840d00ec4d258c1296b0a595

[ "MIT" ]

null

mujoco/setup1/jax_rl/wrappers/single_precision.py

EvieQ01/Learning-Feasibility-Different-Dynamics

73786b11137b8ba9840d00ec4d258c1296b0a595

[ "MIT" ]

null

import gym import numpy as np class SinglePrecision(gym.ObservationWrapper): def observation(self, observation: np.ndarray) -> np.ndarray: return observation.astype(np.float32)

23.875

65

0.753927

23

191

6.26087

0.652174

0.125

0

0.012422

0.157068

191

7

66

27.285714

0.881988

0

1

0.2

false

0

0.4

0.2

1

0

1

0

null

0

1

0

null

0

1

0

5

7905150224459f866e184f0f054cc29291b92d46

84

py

Python

baloo/core/indexes/__init__.py

cda-group/baloo

0d442117c2a919b177e0a96024cbdc82762cb646

[ "BSD-3-Clause" ]

11

2018-12-16T00:19:39.000Z

2021-01-06T04:56:02.000Z

baloo/core/indexes/__init__.py

monner/baloo

f6e05e35b73a75e8a300754c6bdc575e5f2d53b9

[ "BSD-3-Clause" ]

6

2019-02-21T23:22:14.000Z

2021-06-01T22:39:32.000Z

baloo/core/indexes/__init__.py

monner/baloo

f6e05e35b73a75e8a300754c6bdc575e5f2d53b9

[ "BSD-3-Clause" ]

6

2019-02-12T14:30:43.000Z

2020-03-15T17:17:56.000Z

from .base import Index from .multi import MultiIndex from .range import RangeIndex

21

29

0.821429

12

84

5.75

0.666667

0

0.142857

84

3

30

28

0.958333

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

f70cc72811e78a54aee8eb1e02a003cb5c2b56ec

234

py

Python

script/translations/const.py

fb22/home-assistant

a95ab9c8099e321a5be0e2d6689258ac9c262636

[ "Apache-2.0" ]

null

script/translations/const.py

fb22/home-assistant

a95ab9c8099e321a5be0e2d6689258ac9c262636

[ "Apache-2.0" ]

6

2021-02-08T20:54:31.000Z

2022-03-12T00:50:43.000Z

script/translations/const.py

fb22/home-assistant

a95ab9c8099e321a5be0e2d6689258ac9c262636

[ "Apache-2.0" ]

null

"""Translation constants.""" import pathlib PROJECT_ID = "130246255a974bd3b5e8a1.51616605" DOCKER_IMAGE = "b8329d20280263cad04f65b843e54b9e8e6909a348a678eac959550b5ef5c75f" INTEGRATIONS_DIR = pathlib.Path("homeassistant/components")

33.428571

81

0.850427

17

234

11.529412

0.941176

0

0.304545

0.059829

234

6

82

39

0.586364

0.094017

0

0.57767

0

1

0

false

0

0.25

0

0.25

0

1

0

1

null

0

1

0

1

0

1

null

0

5

f73f9e1cc5c2d338e6511f7da9a270608239b3fd

190

py

Python

shoptools/contrib/accounts/__init__.py

gregplaysguitar/django-shoptools

7af9b69409d146b3627931430714b934122a2498

[ "BSD-3-Clause" ]

3

2015-09-11T01:24:25.000Z

2018-08-19T16:47:09.000Z

shoptools/contrib/accounts/__init__.py

gregplaysguitar/django-shoptools

7af9b69409d146b3627931430714b934122a2498

[ "BSD-3-Clause" ]

29

2015-10-06T22:15:50.000Z

2017-12-14T20:50:52.000Z

shoptools/contrib/accounts/__init__.py

gregplaysguitar/django-shoptools

7af9b69409d146b3627931430714b934122a2498

[ "BSD-3-Clause" ]

5

2015-10-05T23:33:51.000Z

2019-01-14T19:49:40.000Z

def get_account(user): from .models import Account return Account.objects.for_user(user) def get_data(request): from .util import account_data return account_data(request)

21.111111

41

0.747368

27

190

5.074074

0.481481

0.087591

0

0.178947

190

8

42

23.75

0.878205

0

1

0.333333

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

f7565e66153f8c452f5a2f6f65064164698a22fd

1,712

py

Python

data_blocks/cuvinte_sablon.py

slevi123/bacalaureat

ed016d0ab04cda7d166c36c0ff4cee63acdd6449

[ "MIT" ]

1

2022-03-09T06:46:18.000Z

data_blocks/cuvinte_sablon.py

slevi123/bacalaureat

ed016d0ab04cda7d166c36c0ff4cee63acdd6449

[ "MIT" ]

null

data_blocks/cuvinte_sablon.py

slevi123/bacalaureat

ed016d0ab04cda7d166c36c0ff4cee63acdd6449

[ "MIT" ]

null

from models import Substantiv, Verb, StructAlt cuvinte_din_enigma_otiliei = [ [Substantiv, lambda cuvant:cuvant["singular"]["nume"], "search_value", [ {"singular": {"nume": "", "nev": ""}}, {"singular": {"nume": "", "nev": ""}}, {"singular": {"nume": "", "nev": ""}}, {"singular": {"nume": "", "nev": ""}}, {"singular": {"nume": "", "nev": ""}}, {"singular": {"nume": "", "nev": ""}}, {"singular": {"nume": "", "nev": ""}}, {"singular": {"nume": "", "nev": ""}}, {"singular": {"nume": "", "nev": ""}}, {"singular": {"nume": "", "nev": ""}}, {"singular": {"nume": "", "nev": ""}}, # {"singular": {"nume": "", "nev": ""}}, ] ], [Verb, lambda cuvant:cuvant["infinitiv"]["nume"], "search_value", [ {"infinitiv": {"nume": "", "nev": ""}}, {"infinitiv": {"nume": "", "nev": ""}}, {"infinitiv": {"nume": "", "nev": ""}}, {"infinitiv": {"nume": "", "nev": ""}}, {"infinitiv": {"nume": "", "nev": ""}}, {"infinitiv": {"nume": "", "nev": ""}}, # {"infinitiv": {"nume": "", "nev": ""}}, ] ], [StructAlt, lambda cuvant:"", "nume", [ {"nume": "", "nev": ""}, {"nume": "", "nev": ""}, {"nume": "", "nev": ""}, {"nume": "", "nev": ""}, {"nume": "", "nev": ""}, {"nume": "", "nev": ""}, {"nume": "", "nev": ""}, {"nume": "", "nev": ""}, # {"nume": "", "nev": ""}, ] ], ]

33.568627

53

0.317757

105

1,712

5.133333

0.171429

0.363636

0.333952

0.469388

0.658627

0

0.363318

1,712

51

54

33.568627

0.494495

0.060164

0

0.652174

0

0.230386

0

1

0

false

0

0.021739

0

0.021739

0

null

1

0

1

0

1

0

null

0

5

e38f42927ea074108d31857b41d08850c50c6c3f

24

py

Python

list_akanksha.py

balestramatan/time-tracker

cc3fb4613dabb66a21156b3308673e0f79bc6d9b

[ "Apache-2.0" ]

null

list_akanksha.py

balestramatan/time-tracker

cc3fb4613dabb66a21156b3308673e0f79bc6d9b

[ "Apache-2.0" ]

null

list_akanksha.py

balestramatan/time-tracker

cc3fb4613dabb66a21156b3308673e0f79bc6d9b

[ "Apache-2.0" ]

null

print("Matan Balestra")

12

23

0.75

3

24

6

1

0

0.083333

24

1

24

0.818182

0

0.583333

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

e3bfbc773a5a917985b12e4f134bcecf4e2656b6

11,209

py

Python

matrix_vector/tests/test_matrix.py

Guldjan/matrix-vector

fe85eebcf9dfaae486a9ebc152e342ca9bd1c70c

[ "MIT" ]

null

matrix_vector/tests/test_matrix.py

Guldjan/matrix-vector

fe85eebcf9dfaae486a9ebc152e342ca9bd1c70c

[ "MIT" ]

null

matrix_vector/tests/test_matrix.py

Guldjan/matrix-vector

fe85eebcf9dfaae486a9ebc152e342ca9bd1c70c

[ "MIT" ]

null

from unittest import TestCase import matrix_vector as m class TestMatrix(TestCase): def test_rows(self): self.assertEqual(m.Matrix([1, 2, 3], [5, 6, 7], [8, 9, 10]).rows(), 3) def test_colums(self): self.assertEqual(m.Matrix([1, 2, 3], [5, 6, 7], [8, 9, 10]).colums(), 3) def test_get_row(self): a = m.Matrix([1, 2, 3], [5, 6, 7], [8, 9, 10]) self.assertEqual(a.get_row(1), m.Vector(5, 6, 7)) def test_get_row_out_of_range(self): a = m.Matrix([1, 2, 3], [5, 6, 7], [8, 9, 10]) with self.assertRaises(IndexError): a.get_row(3) def test_get_colum(self): a = m.Matrix([1, 2, 3], [5, 6, 7], [8, 9, 10]) self.assertEqual(a.get_colum(1), m.Vector(2, 6, 9)) def test_get_colum_out_of_range(self): a = m.Matrix([1, 2, 3], [5, 6, 7], [8, 9, 10]) with self.assertRaises(IndexError): a.get_colum(3) def test_same_dimension_true(self): a1 = m.Matrix([1, 2, 3], [5, 6, 7], [8, 9, 10]) a2 = m.Matrix([1, -2, 3], [5, 3, 7], [-8, 9, 10]) self.assertEqual(a1.is_same_dimension(a2), True) def test_same_dimension_false(self): a1 = m.Matrix([1, 2, 3], [5, 6, 7]) a2 = m.Matrix([1, -2, 3], [5, 3, 7], [-8, 9, 10]) self.assertEqual(a1.is_same_dimension(a2), False) def test_add_number(self): a1 = m.Matrix([1, 2, 3], [5, 6, 7], [8, 9, 10]) self.assertEqual(a1 + 2, m.Matrix([3, 4, 5], [7, 8, 9], [10, 11, 12])) self.assertEqual(a1, m.Matrix([1, 2, 3], [5, 6, 7], [8, 9, 10])) def test_add_matrix(self): a1 = m.Matrix([1, 2, 3], [5, 6, 7], [8, 9, 10]) a2 = m.Matrix([1, -2, 3], [5, 3, 7], [-8, 9, 10]) self.assertEqual(a1 + a2, m.Matrix([2, 0, 6], [10, 9, 14], [0, 18, 20])) self.assertEqual(a1, m.Matrix([1, 2, 3], [5, 6, 7], [8, 9, 10])) def test_add_different_dimension(self): a1 = m.Matrix([1, 2, 3], [5, 6, 7]) a2 = m.Matrix([1, -2, 3], [5, 3, 7], [-8, 9, 10]) with self.assertRaises(m.matrix.MatrixDimensionError): a1 + a2 def test_i_add_number(self): a1 = m.Matrix([1, 2, 3], [5, 6, 7], [8, 9, 10]) a1 += 2 self.assertEqual(a1, m.Matrix([3, 4, 5], [7, 8, 9], [10, 11, 12])) def test_i_add_matrix(self): a1 = m.Matrix([1, 2, 3], [5, 6, 7], [8, 9, 10]) a1 += m.Matrix([1, -2, 3], [5, 3, 7], [-8, 9, 10]) self.assertEqual(a1, m.Matrix([2, 0, 6], [10, 9, 14], [0, 18, 20])) def test_sub_number(self): a1 = m.Matrix([1, 2, 3], [5, 6, 7], [8, 9, 10]) self.assertEqual(a1 - 2, m.Matrix([-1, 0, 1], [3, 4, 5], [6, 7, 8])) self.assertEqual(a1, m.Matrix([1, 2, 3], [5, 6, 7], [8, 9, 10])) def test_sub_matrix(self): a1 = m.Matrix([1, 2, 3], [5, 6, 7], [8, 9, 10]) a2 = m.Matrix([1, -2, 3], [5, 3, 7], [-8, 9, 10]) self.assertEqual(a1 - a2, m.Matrix([0, 4, 0], [0, 3, 0], [16, 0, 0])) self.assertEqual(a1, m.Matrix([1, 2, 3], [5, 6, 7], [8, 9, 10])) def test_sub_different_dimension(self): a1 = m.Matrix([1, 2, 3], [5, 6, 7]) a2 = m.Matrix([1, -2, 3], [5, 3, 7], [-8, 9, 10]) with self.assertRaises(m.matrix.MatrixDimensionError): a1 - a2 def test_i_sub_number(self): a1 = m.Matrix([1, 2, 3], [5, 6, 7], [8, 9, 10]) a1 -= 2 self.assertEqual(a1, m.Matrix([-1, 0, 1], [3, 4, 5], [6, 7, 8])) def test_i_sub_matrix(self): a1 = m.Matrix([1, 2, 3], [5, 6, 7], [8, 9, 10]) a1 -= m.Matrix([1, -2, 3], [5, 3, 7], [-8, 9, 10]) self.assertEqual(a1, m.Matrix([0, 4, 0], [0, 3, 0], [16, 0, 0])) def test_get_item_1(self): a1 = m.Matrix([1, 2, 3], [5, 6, 7], [8, 9, 10]) self.assertEqual(a1[1], m.Vector(5, 6, 7)) def test_get_item_2(self): a1 = m.Matrix([1, 2, 3], [5, 6, 7], [8, 9, 10]) self.assertEqual(a1[1][2], 7) def test_transpose(self): a1 = m.Matrix([1, 2, 3], [5, 6, 7], [8, 9, 10]) a1.transpose() self.assertEqual(a1, m.Matrix([1, 5, 8], [2, 6, 9], [3, 7, 10])) def test_transposed(self): a1 = m.Matrix([1, 2, 3], [5, 6, 7], [8, 9, 10]) self.assertEqual(a1.transposed(), m.Matrix([1, 5, 8], [2, 6, 9], [3, 7, 10])) self.assertEqual(a1, m.Matrix([1, 2, 3], [5, 6, 7], [8, 9, 10])) def test_multiply_number(self): a1 = m.Matrix([1, 2, 3], [5, 6, 7], [8, 9, 10]) self.assertEqual(a1 * 2, m.Matrix([2, 4, 6], [10, 12, 14], [16, 18, 20])) self.assertEqual(a1, m.Matrix([1, 2, 3], [5, 6, 7], [8, 9, 10])) def test_multiply_matrix_1(self): a1 = m.Matrix([1, 2, 3], [4, 5, 6], [7, 8, 9]) self.assertEqual(a1 * a1, m.Matrix([30, 36, 42], [66, 81, 96], [102, 126, 150])) def test_multiply_matrix_2(self): a1 = m.Matrix([1, 2, 3], [4, 5, 6], [7, 8, 9]) a2 = m.Matrix([1, 2], [3, 4], [5, 6]) self.assertEqual(a1 * a2, m.Matrix([22, 28], [49, 64], [76, 100])) self.assertEqual(a1, m.Matrix([1, 2, 3], [4, 5, 6], [7, 8, 9])) def test_multiply_matrix_unsutable(self): a1 = m.Matrix([1, 2, 3], [4, 5, 6], [7, 8, 9]) a2 = m.Matrix([1, 2], [3, 4]) with self.assertRaises(m.matrix.MatrixDimensionError): a1 * a2 def test_multiply_vector(self): a1 = m.Matrix([1, 2, 3], [4, 5, 6], [7, 8, 9]) a2 = m.Vector(1, 2, 3) self.assertEqual(a1 * a2, m.Vector(14, 32, 50)) def test_multiply_vector_unsutable(self): a = m.Matrix([1, 2, 3], [4, 5, 6], [7, 8, 9]) v = m.Vector(1, 2, 3, 4) with self.assertRaises(m.matrix.MatrixDimensionError): a * v def test_minor(self): a = m.Matrix([1, 2, 3], [4, 5, 6], [7, 8, 9]) self.assertEqual(a.minor(1, 1), m.Matrix([1, 3], [7, 9])) def test_minor_out_of_range(self): a = m.Matrix([1, 2, 3], [4, 5, 6], [7, 8, 9]) with self.assertRaises(IndexError): a.minor(3, 3) def test_determinant_1(self): a = m.Matrix([1, 2, 3], [4, 5, 6], [7, 8, 9]) self.assertEqual(a.determinant(), 0) def test_determinant_2(self): a = m.Matrix([1, 3, 5], [-4, 7, 1], [5, -2, 1]) self.assertEqual(a.determinant(), -99) def test_determinant_3(self): a = m.Matrix([5, 4, 9, -1], [-2, 5, 1, 3], [2, -3, 4, 1], [8, 3, -3, 0]) self.assertEqual(a.determinant(), 1943) def test_determinant_not_square(self): a = m.Matrix([1, 3], [-4, 7], [5, -2]) with self.assertRaises(m.matrix.MatrixDimensionError): a.determinant() def test_inversed(self): a = m.Matrix([1, 3, 5], [-4, 7, 1], [5, -2, 1]) self.assertEqual(a.inversed().round(2), m.Matrix([-0.09, 0.13, 0.32], [-0.09, 0.24, 0.21], [0.27, -0.17, -0.19])) self.assertEqual(a, m.Matrix([1, 3, 5], [-4, 7, 1], [5, -2, 1])) def test_inversed_zero_det(self): a = m.Matrix([1, 2, 3], [4, 5, 6], [7, 8, 9]) with self.assertRaises(ZeroDivisionError): a.inversed() def test_round(self): a = m.Matrix([-0.093, 0.131, 0.323], [-0.092, 0.242, 0.211], [0.272, -0.173, -0.192]).round(2) self.assertEqual(a.round(2), m.Matrix([-0.09, 0.13, 0.32], [-0.09, 0.24, 0.21], [0.27, -0.17, -0.19]))

35.359621

79

0.32465

1,310

11,209

2.701527

0.080916

0.150325

0.13111

0.124611

0.7423

0.72902

0.712913

0.699068

0.693134

0.681548

0

0.16592

0.521991

11,209

316

80

35.471519

0.494588

0

0.615108

0

0.161871

1

0.133094

false

0

0.007194

0

0.143885

0

null

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1

0

1

0

1

0

1

0

null

0

5

e3c5b792305aacfb450eb761a013f9c092155520

1,286

py

Python

student_records/models.py

HillaryOkello/CIT-blockchain-DB

0b931e196da43a87bf842cee0e130f57557169bd

[ "MIT" ]

1

2021-12-10T13:54:38.000Z

student_records/models.py

HillaryOkello/CIT-blockchain-DB

0b931e196da43a87bf842cee0e130f57557169bd

[ "MIT" ]

null

student_records/models.py

HillaryOkello/CIT-blockchain-DB

0b931e196da43a87bf842cee0e130f57557169bd

[ "MIT" ]

null

from django.db import models EXAM_CHOICES = ( ('pass', 'PASS'), ('fail', 'FAIL'), ) class StudentRecord(models.Model): first_name = models.CharField(max_length=50) last_name = models.CharField(max_length=50) dob = models.CharField(max_length=50) address = models.CharField(max_length=100) phone = models.CharField(max_length=50) email = models.CharField(max_length=100) date_of_enrollment = models.DateField(blank= True,null=True) quiz_score = models.IntegerField(default=0) python_entry_level = models.CharField(max_length=10, choices=EXAM_CHOICES, default='pass') aws_practitioner_exam = models.CharField(max_length=10, choices=EXAM_CHOICES, default='pass') python_associate_exam = models.CharField(max_length=10, choices=EXAM_CHOICES, default='pass') blockchain_exam = models.CharField(max_length=10, choices=EXAM_CHOICES, default='pass') aws_ml_exam = models.CharField(max_length=10, choices=EXAM_CHOICES, default='pass') dissertation = models.CharField(max_length=50, default='pass') date_of_graduation = models.DateField(blank= True,null=True) job_placement = models.CharField(max_length=100) def __str__(self): return f"{self.first_name} {self.last_name}"

42.866667

95

0.723173

167

1,286

5.317365

0.323353

0.219595

0.263514

0.351351

0.653153

0.474099

0.334459

0

0.027701

0.157854

1,286

29

96

44.344828

0.792244

0

0.057632

0

1

0.041667

false

0.291667

0.041667

0.833333

0

null

1

0

null

0

1

0

1

0

5

581203ecca1671779e7279c0e23084e54a040f15

68

py

Python

cirq-core/cirq/testing/_compat_test_data/module_a/sub/__init__.py

Saibaba-Alapati/Cirq

782efcd04c3bbf73a0d630306a3d1cfd9966521d

[ "Apache-2.0" ]

3,326

2018-07-18T23:17:21.000Z

2022-03-29T22:28:24.000Z

cirq-core/cirq/testing/_compat_test_data/module_a/sub/__init__.py

resduo/Cirq

680f897345eb1c71c9242515edda8f04b8594319

[ "Apache-2.0" ]

3,443

2018-07-18T21:07:28.000Z

2022-03-31T20:23:21.000Z

cirq-core/cirq/testing/_compat_test_data/module_a/sub/__init__.py

resduo/Cirq

680f897345eb1c71c9242515edda8f04b8594319

[ "Apache-2.0" ]

865

2018-07-18T23:30:24.000Z

2022-03-30T11:43:23.000Z

from cirq.testing._compat_test_data.module_a.sub.subsub import dupe

34

67

0.867647

12

68

4.583333

1

0

0.058824

68

1

68

0.859375

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

5844e3a1b3b22c65f0782cbe5d95edd98539a76d

111

py

Python

tests/conftest.py

cmcaine/sanic

076cf51fb295e7624968db766fd613aa3948289d

[ "MIT" ]

null

tests/conftest.py

cmcaine/sanic

076cf51fb295e7624968db766fd613aa3948289d

[ "MIT" ]

1

2018-10-07T15:15:28.000Z

tests/conftest.py

cmcaine/sanic

076cf51fb295e7624968db766fd613aa3948289d

[ "MIT" ]

null

import pytest from sanic import Sanic @pytest.fixture def app(request): return Sanic(request.node.name)

12.333333

35

0.756757

16

111

5.25

0.6875

0

0.162162

111

8

36

13.875

0.903226

0

1

0.2

false

0

0.4

0.2

0.8

0

1

0

null

0

1

0

null

0

1

0

5

58a7926fd3f83ef52cb5937ebf68c9611e91069d

204

py

Python

codar/__init__.py

CODARcode/cheetah

2d7148fad2e549a080e902e4fac180d9f22a9dc9

[ "Apache-2.0" ]

8

2018-07-11T19:55:37.000Z

2022-02-03T20:55:32.000Z

codar/__init__.py

CODARcode/cheetah

2d7148fad2e549a080e902e4fac180d9f22a9dc9

[ "Apache-2.0" ]

196

2017-06-13T14:48:05.000Z

2022-03-02T21:53:39.000Z

codar/__init__.py

CODARcode/cheetah

2d7148fad2e549a080e902e4fac180d9f22a9dc9

[ "Apache-2.0" ]

7

2018-07-02T16:50:43.000Z

2022-02-08T16:06:54.000Z

# pkgutil-style namespace package # See https://packaging.python.org/guides/packaging-namespace-packages/#pkgutil-style-namespace-packages __path__ = __import__('pkgutil').extend_path(__path__, __name__)

51

104

0.818627

24

204

6.25

0.625

0.16

0.28

0

0.053922

204

3

105

68

0.777202

0.651961

0

0.104478

0

1

0

false

0

1

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

545168357c90732d0b820782d9ce58eb22b718d9

118

py

Python

snow/resource/query/__init__.py

sulbig/snow

2f838a0bdf9b626cec5119c03b743abe812db311

[ "MIT" ]

null

snow/resource/query/__init__.py

sulbig/snow

2f838a0bdf9b626cec5119c03b743abe812db311

[ "MIT" ]

null

snow/resource/query/__init__.py

sulbig/snow

2f838a0bdf9b626cec5119c03b743abe812db311

[ "MIT" ]

null

from .builder import QueryBuilder from .condition import Condition from .utils import select from .operators import *

23.6

33

0.822034

15

118

6.466667

0.533333

0

0.135593

118

4

34

29.5

0.95098

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

546bf73c6f991e7e8af609172eb626e96c726417

415

py

Python

backend/sources/smart_forms_types/__init__.py

TeamUnibuc/SmartForms

db558b057468dafd3adbb85d6405697f8c7b7342

[ "MIT" ]

null

backend/sources/smart_forms_types/__init__.py

TeamUnibuc/SmartForms

db558b057468dafd3adbb85d6405697f8c7b7342

[ "MIT" ]

2

2022-02-18T09:43:17.000Z

2022-03-02T23:18:03.000Z

backend/sources/smart_forms_types/__init__.py

TeamUnibuc/SmartForms

db558b057468dafd3adbb85d6405697f8c7b7342

[ "MIT" ]

null

""" Types used for storing / processing documents. """ import uuid def generate_uuid(): """ generates an unique ID. the probability of collisions between different uuids is beyond negligable. """ return str(uuid.uuid1()) from smart_forms_types.pdf_form import * from smart_forms_types.models import * from smart_forms_types.user import * from smart_forms_types.inference_dataset import *

21.842105

51

0.744578

55

415

5.418182

0.654545

0.120805

0.187919

0.255034

0.251678

0

0.002933

0.178313

415

18

52

23.055556

0.870968

0.351807

0

1

0

1

0.142857

true

0

0.714286

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

54824b0e02429e39308e12e4317c4d0ff796c576

49

py

Python

docnetdb/tests/__init__.py

fsabre/DocNetDB

c749a345e644b63219bd544967bed563299fd42c

[ "MIT" ]

4

2020-01-27T13:10:58.000Z

2020-09-12T12:10:22.000Z

docnetdb/tests/__init__.py

fsabre/DocNetDB

c749a345e644b63219bd544967bed563299fd42c

[ "MIT" ]

null

docnetdb/tests/__init__.py

fsabre/DocNetDB

c749a345e644b63219bd544967bed563299fd42c

[ "MIT" ]

null

"""This package is used for testing the code."""

24.5

48

0.693878

8

49

4.25

1

0

0.163265

49

1

49

0.829268

0.857143

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

5497c4f543503480cacc6d025d9f4f49b7ac6e99

35

py

Python

gan/dcgan/__init__.py

valentingol/GANJax

ebcb8f4412277da2d9bda80282c2842d111bf393

[ "MIT" ]

9

2021-11-20T18:25:37.000Z

2021-12-13T23:32:35.000Z

gan/dcgan/__init__.py

valentingol/GANJax

ebcb8f4412277da2d9bda80282c2842d111bf393

[ "MIT" ]

4

2021-12-04T15:30:58.000Z

2022-01-20T13:13:32.000Z

gan/dcgan/__init__.py

valentingol/GANJax

ebcb8f4412277da2d9bda80282c2842d111bf393

[ "MIT" ]

3

2022-01-18T00:02:30.000Z

2022-03-10T09:22:43.000Z

from gan.dcgan.DCGAN import DCGAN

11.666667

33

0.8

6

35

4.666667

0.666667

0

0.142857

35

2

34

17.5

0.933333

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

49b01b0b3ff4a39873d8e8bce17004977a121404

135

py

Python

matchms/importing/__init__.py

fossabot/matchms

090db31b22829dc224e5ed78fb4901e8c14a8e92

[ "Apache-2.0" ]

null

matchms/importing/__init__.py

fossabot/matchms

090db31b22829dc224e5ed78fb4901e8c14a8e92

[ "Apache-2.0" ]

null

matchms/importing/__init__.py

fossabot/matchms

090db31b22829dc224e5ed78fb4901e8c14a8e92

[ "Apache-2.0" ]

null

from .load_from_mgf import load_from_mgf from .load_adducts import load_adducts __all__ = [ "load_from_mgf", "load_adducts" ]

16.875

40

0.755556

20

135

4.45

0.3

0.269663

0.370787

0

0.17037

135

7

41

19.285714

0.794643

0

0.185185

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

5

49bef56a3df8ee7fd1e011e50565efade848f085

261

py

Python

news/utils.py

kthaisse/website

be0d0e0763ae2a6b8351c08b432229eae9521f1d

[ "MIT" ]

null

news/utils.py

kthaisse/website

be0d0e0763ae2a6b8351c08b432229eae9521f1d

[ "MIT" ]

null

news/utils.py

kthaisse/website

be0d0e0763ae2a6b8351c08b432229eae9521f1d

[ "MIT" ]

null

from typing import List from news.models import Article, Pin def get_latest_articles() -> List[Article]: return Article.objects.published().order_by("-created_at")[:5] def get_latest_pin() -> Pin: return Pin.objects.order_by("-created_at").first()

21.75

66

0.727969

38

261

4.789474

0.552632

0.065934

0.131868

0.175824

0

0.004405

0.130268

261

11

67

23.727273

0.797357

0

0.084291

0

1

0.333333

true

0

0.333333

1

0

null

0

1

0

null

0

1

0

1

0

5

49f5e3ecde93b213e9c54ec1c97d172599f6350b

129

py

Python

quad_sim_python/__init__.py

ricardodeazambuja/quad_sim_python

f4afe76399b5325cd9136158b3f52c2b4d5170e5

[ "MIT" ]

null

quad_sim_python/__init__.py

ricardodeazambuja/quad_sim_python

f4afe76399b5325cd9136158b3f52c2b4d5170e5

[ "MIT" ]

null

quad_sim_python/__init__.py

ricardodeazambuja/quad_sim_python

f4afe76399b5325cd9136158b3f52c2b4d5170e5

[ "MIT" ]

null

from .ctrl import Controller from .quad import Quadcopter from .potentialField import PotField from .trajectory import Trajectory

32.25

36

0.852713

16

129

6.875

0.5625

0

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tests/test_optimization.py

rocketscience0/cs207-FinalProject

bb2a38bc2ca341c55cf544d316318798b42efde7

[ "MIT" ]

1

2019-11-12T18:03:52.000Z

tests/test_optimization.py

rocketscience0/cs207-FinalProject

bb2a38bc2ca341c55cf544d316318798b42efde7

[ "MIT" ]

3

2019-11-19T20:45:05.000Z

2019-12-10T14:33:21.000Z

tests/test_optimization.py

rocketscience0/cs207-FinalProject

bb2a38bc2ca341c55cf544d316318798b42efde7

[ "MIT" ]

null

"""Tests for the optimizations library """ import pytest import numpy as np from autodiff import operations, optimizations from autodiff.structures import Number, Array def rosenbrock(x0, a=1, b=100): return (a - x0[0]) ** 2 + b * (x0[1] - x0[0] ** 2) ** 2 def bowl(x, xstar=np.array((1, 1))): return (x - xstar) @ (x - xstar) def quadratic(x, xstar=1): return (x - xstar) ** 2 def gradient_rosenbrock(x0): x = x0[0] y = x0[1] drdx = -2 * (1 - x) - 400 * x * (-x ** 2 + y) drdy = 200 *(-x**2 + y) return drdx, drdy def gradient_quadratic(x, xstar=1): return 2 * (x - xstar) def test_bfgs(): initial_guess = Array([Number(2),Number(1)]) xstar, _, _ = optimizations.bfgs(rosenbrock, initial_guess) assert xstar[0].val == pytest.approx(1) assert xstar[1].val == pytest.approx(1) def test_bfgs_correct_start(): initial_guess = Array([Number(1),Number(1)]) xstar, _, _ = optimizations.bfgs(rosenbrock, initial_guess) assert xstar[0].val == pytest.approx(1) assert xstar[1].val == pytest.approx(1) def test_bfgs_symbolic(): initial_guess = [2, 1] xstar, _, _ = optimizations.bfgs_symbolic( rosenbrock, gradient_rosenbrock, initial_guess ) assert xstar[0] == pytest.approx(1) assert xstar[1] == pytest.approx(1) def test_bfgs_symbolic_correct_start(): initial_guess = [1, 1] xstar, _, _ = optimizations.bfgs_symbolic( rosenbrock, gradient_rosenbrock, initial_guess ) assert xstar[0] == pytest.approx(1) assert xstar[1] == pytest.approx(1) def test_bfgs_scalar(): initial_guess = Number(2) xstar, _, _ = optimizations.bfgs(quadratic, initial_guess) assert xstar.val == pytest.approx(1) def test_bfgs_scalar_correct_start(): initial_guess = Number(1) xstar, _, _ = optimizations.bfgs(quadratic, initial_guess) assert xstar.val == pytest.approx(1) def test_bfgs_verbose(): initial_guess = Array([Number(2),Number(1)]) xstar, _, _ = optimizations.bfgs(rosenbrock, initial_guess, verbose=True) assert xstar[0].val == pytest.approx(1) assert xstar[1].val == pytest.approx(1) def test_bfgs_scalar_verbose(): initial_guess = Number(2) xstar, _, _ = optimizations.bfgs(quadratic, initial_guess, verbose=True) assert xstar.val == pytest.approx(1) def test_bfgs_symbolic_verbose(): initial_guess = [2, 1] xstar, _, _ = optimizations.bfgs_symbolic( rosenbrock, gradient_rosenbrock, initial_guess, verbose=True ) assert xstar[0] == pytest.approx(1) assert xstar[1] == pytest.approx(1) def test_bfgs_symbolic_scalar(): initial_guess = 2 xstar, _, _ = optimizations.bfgs_symbolic( quadratic, gradient_quadratic, initial_guess ) assert xstar == pytest.approx(1) def test_bfgs_symbolic_scalar_correct_start(): initial_guess = 1 xstar, _, _ = optimizations.bfgs_symbolic( quadratic, gradient_quadratic, initial_guess ) assert xstar == pytest.approx(1) def test_steepest_descent(): initial_guess = Array([Number(1.1),Number(1.1)]) _, xstar, _, _ = optimizations.steepest_descent(bowl, initial_guess, iterations=400) # print(xstar) assert xstar[0].val == pytest.approx(1, abs=1e-3) assert xstar[1].val == pytest.approx(1, abs=1e-3) def test_steepest_descent_armijo(): """Should trigger the line search """ initial_guess = Array([Number(2),Number(1)]) _, xstar, _, _ = optimizations.steepest_descent(rosenbrock, initial_guess, iterations=50) def test_steepest_descent_verbose_correct_start(): initial_guess = Array([Number(1),Number(1)]) _, xstar, _, _ = optimizations.steepest_descent( bowl, initial_guess, iterations=400, verbose=True ) # print(xstar) assert xstar[0].val == pytest.approx(1, abs=1e-3) assert xstar[1].val == pytest.approx(1, abs=1e-3) def test_steepest_descent_scalar(): initial_guess = Number(1.1) xstar, _, _ = optimizations.steepest_descent(quadratic, initial_guess, iterations=400) print(xstar) assert xstar.val == pytest.approx(1, abs=1e-3)

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perceptron/examples/wobbly.py

pedro823/machine-learning

5988a45e730c9244a543c884268ac8f96252100b

[ "Apache-2.0" ]

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perceptron/examples/wobbly.py

pedro823/machine-learning

5988a45e730c9244a543c884268ac8f96252100b

[ "Apache-2.0" ]

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perceptron/examples/wobbly.py

pedro823/machine-learning

5988a45e730c9244a543c884268ac8f96252100b

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models/__init__.py

SemyonMakhaev/personal-auth

32fe00db7c6acc16e49b20178c08a6d2364307d1

[ "MIT" ]

null

models/__init__.py

SemyonMakhaev/personal-auth

32fe00db7c6acc16e49b20178c08a6d2364307d1

[ "MIT" ]

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2020-11-13T18:28:47.000Z

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models/__init__.py

SemyonMakhaev/personal-auth

32fe00db7c6acc16e49b20178c08a6d2364307d1

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """Module producing neural network models.""" from models.limiter import Limiter from models.modifier import Modifier from models.recommender import Recommender

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py

Python

tests/test_utils.py

metwork-framework/opinionated_configparser

d6ed5cf74c80e745febcd0d2ab587ae2c319bbb0

[ "MIT" ]

null

tests/test_utils.py

metwork-framework/opinionated_configparser

d6ed5cf74c80e745febcd0d2ab587ae2c319bbb0

[ "MIT" ]

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2020-01-15T09:55:11.000Z

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tests/test_utils.py

metwork-framework/opinionated_configparser

d6ed5cf74c80e745febcd0d2ab587ae2c319bbb0

[ "MIT" ]

null

import sys from opinionated_configparser import get_real_option, get_variant, get_score def test_get_real_option(): assert get_real_option("") == "" assert get_real_option("foo[bar]") == "foo" assert get_real_option("foo[bar_1]") == "foo" def test_get_variant(): assert get_variant("") is None assert get_variant("foo") is None assert get_variant("foo[") is None assert get_variant("foo[bar") is None assert get_variant("foo[bar]") == "bar" assert get_variant("foo[]") is None assert get_variant("foo[bar_1_2]") == "bar_1_2" def test_get_score(): assert get_score(None, "generic") > 0 and get_score(None, "generic") < 1 assert get_score("foo", "generic") == 0 assert get_score("foo", "foo") == sys.maxsize assert get_score("foo", "foo_bar") == 1 assert get_score("foo_bar", "bar") == 0 assert get_score("foo_bar", "foo_bar_1_2_3_4") == 2

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py

Python

period_graph/src/neural-network/software_test.py

a-kulkarn/period_graph

e9b7abc5ab5ab6b6c76c01a542ae786a4ee82539

[ "MIT" ]

null

period_graph/src/neural-network/software_test.py

a-kulkarn/period_graph

e9b7abc5ab5ab6b6c76c01a542ae786a4ee82539

[ "MIT" ]

null

period_graph/src/neural-network/software_test.py

a-kulkarn/period_graph

e9b7abc5ab5ab6b6c76c01a542ae786a4ee82539

[ "MIT" ]

null

# # This file tests basic usage of training and evaluation. # NOTE: The training tests must be run beforehand to generate testing data. # # NOTE: This test *must* be run in the current directory with python3. # import os, subprocess assert subprocess.call(["python3", "AI_train.py"]) == 0 assert subprocess.call(["python3", "AI_analyze.py"]) == 0

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5

3fd1c5981615288e02cfc163c3442ede9594bf02

166

py

Python

forums/admin.py

bfrederix/django-improv

23ae4b2cc3b7d38aa2a4d6872ea084247a1e34f6

[ "Apache-2.0" ]

1

2020-08-07T18:46:19.000Z

forums/admin.py

bfrederix/django-improv

23ae4b2cc3b7d38aa2a4d6872ea084247a1e34f6

[ "Apache-2.0" ]

null

forums/admin.py

bfrederix/django-improv

23ae4b2cc3b7d38aa2a4d6872ea084247a1e34f6

[ "Apache-2.0" ]

null

from django.contrib import admin from forums.models import Forum, Thread, Reply admin.site.register(Forum) admin.site.register(Thread) admin.site.register(Reply)

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3fd59e0e759fa1fe9e2e9a517f02ac7bb05a30ec

99

py

Python

first-homework.py

natewachter/ASTR-119

4494731fdf69397b9701d6594b60f67326656558

[ "MIT" ]

null

first-homework.py

natewachter/ASTR-119

4494731fdf69397b9701d6594b60f67326656558

[ "MIT" ]

3

2020-10-01T17:51:33.000Z

2020-11-29T23:51:04.000Z

first-homework.py

natewachter/ASTR-119

4494731fdf69397b9701d6594b60f67326656558

[ "MIT" ]

null

#This program will print my full name and preferred pronouns. print("Nathaniel Wachter (he/him)")

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1

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5

b20feea2e2fbc32e16246269dcb9b45d36111881

1,560

py

Python

tests/fastapi/test_context.py

TheVinhLuong102/Strawberry

3c442dc19d17bc55c4e26de1db7a9eedc0a228f5

[ "MIT" ]

null

tests/fastapi/test_context.py

TheVinhLuong102/Strawberry

3c442dc19d17bc55c4e26de1db7a9eedc0a228f5

[ "MIT" ]

128

2021-05-02T20:38:20.000Z

2022-03-29T23:31:37.000Z

tests/fastapi/test_context.py

TheVinhLuong102/Strawberry

3c442dc19d17bc55c4e26de1db7a9eedc0a228f5

[ "MIT" ]

null

from starlette.testclient import TestClient import strawberry from fastapi import FastAPI from strawberry.fastapi import GraphQLRouter from strawberry.types import Info def test_with_context_getter(): @strawberry.type class Query: @strawberry.field def abc(self, info: Info) -> str: assert info.context.get("request") is not None assert info.context.get("strawberry") == "rocks" return "abc" def get_context(): return {"strawberry": "rocks"} app = FastAPI() schema = strawberry.Schema(query=Query) graphql_app = GraphQLRouter(schema=schema, context_getter=get_context) app.include_router(graphql_app, prefix="/graphql") test_client = TestClient(app) response = test_client.post("/graphql", json={"query": "{ abc }"}) assert response.status_code == 200 assert response.json() == {"data": {"abc": "abc"}} def test_without_context_getter(): @strawberry.type class Query: @strawberry.field def abc(self, info: Info) -> str: assert info.context.get("request") is not None assert info.context.get("strawberry") is None return "abc" app = FastAPI() schema = strawberry.Schema(query=Query) graphql_app = GraphQLRouter(schema) app.include_router(graphql_app, prefix="/graphql") test_client = TestClient(app) response = test_client.post("/graphql", json={"query": "{ abc }"}) assert response.status_code == 200 assert response.json() == {"data": {"abc": "abc"}}

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b74abc84aa87dae8085d3166689477d3a59e1b14

453

py

Python

python/autograd/autograd_functions.py

BenOsborn/Cerci

5785ae0c9db8a88a5ac8d91aed29cdf0c0c7854a

[ "Apache-2.0" ]

null

python/autograd/autograd_functions.py

BenOsborn/Cerci

5785ae0c9db8a88a5ac8d91aed29cdf0c0c7854a

[ "Apache-2.0" ]

null

python/autograd/autograd_functions.py

BenOsborn/Cerci

5785ae0c9db8a88a5ac8d91aed29cdf0c0c7854a

[ "Apache-2.0" ]

null

from autograd_expressions import ExpressionSingle, ExpressionDouble, Variable from autograd_operators import OperatorSin, OperatorCos, OperatorTan, OperatorLog from math import e as exp # Singles def Sin(a): return ExpressionSingle(a, OperatorSin) def Cos(a): return ExpressionSingle(a, OperatorCos) def Tan(a): return ExpressionSingle(a, OperatorTan) # Doubles def Log(a, b=Variable(exp)): return ExpressionDouble(a, b, OperatorLog)

26.647059

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null

0

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1

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b7bc20634a6cfaa081f4c26e305d6dea84958993

175

py

Python

Game5/modules/sprites/__init__.py

ttkaixin1998/pikachupythongames

609a3a5a2be3f5a187c332c7980bb5bb14548f02

[ "MIT" ]

4,013

2018-06-16T08:00:02.000Z

2022-03-30T11:48:14.000Z

Game5/modules/sprites/__init__.py

pigbearcat/Games

b8c47ef1bcce9a9db3f3730c162e6e8e08b508a2

[ "MIT" ]

22

2018-10-18T00:15:50.000Z

2022-01-13T08:16:15.000Z

Game5/modules/sprites/__init__.py

pigbearcat/Games

b8c47ef1bcce9a9db3f3730c162e6e8e08b508a2

[ "MIT" ]

2,172

2018-07-20T04:03:14.000Z

2022-03-31T14:18:29.000Z

'''初始化''' from .home import Home from .foods import Foods from .bullet import Bullet from .tanks import PlayerTank, EnemyTank from .scenes import Brick, Iron, Ice, River, Tree

29.166667

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5

b7c1cb29406f2a421f24d2b615de78b3915fc7f1

96

py

Python

enthought/mayavi/modules/tensor_glyph.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/mayavi/modules/tensor_glyph.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/mayavi/modules/tensor_glyph.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from __future__ import absolute_import from mayavi.modules.tensor_glyph import *

24

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0

1

0

1

0

1

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5

b7c56bd9699e03c15971ac16d46376b103fe1f76

136

py

Python

apps/whatsapp/admin.py

gameliel/rumplesco

a4c81723edf42d9573b1c530b450bdd6056307a0

[ "MIT" ]

null

apps/whatsapp/admin.py

gameliel/rumplesco

a4c81723edf42d9573b1c530b450bdd6056307a0

[ "MIT" ]

null

apps/whatsapp/admin.py

gameliel/rumplesco

a4c81723edf42d9573b1c530b450bdd6056307a0

[ "MIT" ]

null

from apps.whatsapp.models import Whatsapp from django.contrib import admin # Register your models here. admin.site.register(Whatsapp)

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1

0

1

0

5

4d0f6af38fa8e69961056500c8d15e9accbdc0fb

3,379

py

Python

src/start_sub1.py

wook3024/Nested-UNet-for-surface_crack_detection

45cd62e6aff4b02214a289486d5d4cde1b295075

[ "MIT" ]

null

src/start_sub1.py

wook3024/Nested-UNet-for-surface_crack_detection

45cd62e6aff4b02214a289486d5d4cde1b295075

[ "MIT" ]

null

src/start_sub1.py

wook3024/Nested-UNet-for-surface_crack_detection

45cd62e6aff4b02214a289486d5d4cde1b295075

[ "MIT" ]

null

import os from pynvml import * from time import sleep import glob import shutil # os.environ["CUDA_VISIBLE_DEVICES"] = cuda_device <<<<<<< HEAD select_archs = ['not_unet_efn'] IMG_PROCESSING = 'simple' # save_folder = 'not_unet_efn_Albu' save_folders = ['not_unet_efn_Albu'] counts = [2] ======= select_arch = 'unet+efn' IMG_PROCESSING = 'simple' # save_folder = 'not_unet_efn_Albu' save_folders = ['unet_efn_IDG', 'unet_efn_IDG', 'unet_efn_IDG'] >>>>>>> ae1365a80e67c67296f5c96f496887e49b4867b3 # flag = 0 # while flag < 5: # nvmlInit() # h = nvmlDeviceGetHandleByIndex(0) # info_1 = nvmlDeviceGetMemoryInfo(h) # if info_1.used <= 150: # flag += 1 # else: # flag = 0 # sleep(60) <<<<<<< HEAD # for save_folder in save_folders: # folder_list = glob.glob('../dataset/Class*/') # folder_list = sorted(folder_list, key=lambda path: int(path.split('/')[2][5:])) # folder_list = list(map(lambda path: path + 'train/aug', folder_list)) # remove_list = [] # for i in range(len(folder_list)): # if i % 2 == 0: # remove_list.append(folder_list[i]) # for path in remove_list: # print(path, os.path.exists(path)) # shutil.rmtree(path) # if len(remove_list): # continue for test in range(1,6): for i, select_arch in enumerate(select_archs): save_folder = save_folders[i] for count in counts: ======= for save_folder in save_folders: # folder_list = glob.glob('../dataset/Class*/') # folder_list = sorted(folder_list, key=lambda path: int(path.split('/')[2][5:])) # folder_list = list(map(lambda path: path + 'train/aug', folder_list)) # remove_list = [] # for i in range(len(folder_list)): # if i % 2 == 0: # remove_list.append(folder_list[i]) # for path in remove_list: # print(path, os.path.exists(path)) # shutil.rmtree(path) # if len(remove_list): # continue for test in range(1, 5): count = 1 while count <= 10: >>>>>>> ae1365a80e67c67296f5c96f496887e49b4867b3 nvmlInit() h = nvmlDeviceGetHandleByIndex(0) info_1 = nvmlDeviceGetMemoryInfo(h) # h = nvmlDeviceGetHandleByIndex(1) # info_2 = nvmlDeviceGetMemoryInfo(h) if info_1.used <= 150: <<<<<<< HEAD os.system(f'CUDA_VISIBLE_DEVICES=0 python main.py --dataset=Class{count} --arch={select_arch} --dip={IMG_PROCESSING} --count={test} --save_folder={save_folder} --gpu --train') # elif info_2.used <= 150: # os.system(f'CUDA_VISIBLE_DEVICES=1 python main.py --dataset=Class{count} --arch={select_arch} --dip={IMG_PROCESSING} --count={test} --save_folder={save_folder} --gpu --train') # count += 2 sleep(60) ======= os.system( f'CUDA_VISIBLE_DEVICES=0 python main.py --dataset=Class{count} --arch={select_arch} --dip={IMG_PROCESSING} --count={test} --save_folder={save_folder} --gpu --train') count += 2 # elif info_2.used <= 150: # os.system(f'CUDA_VISIBLE_DEVICES=1 python main.py --dataset=Class{count} --arch={select_arch} --dip={IMG_PROCESSING} --count={test} --save_folder={save_folder} --gpu --train') # count += 2 sleep(60) >>>>>>> ae1365a80e67c67296f5c96f496887e49b4867b3

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5

4d347b92697380b65ed491a7a72ac822d9f191f8

1,872

py

Python

backend/database/versions/03_fa0950f6df19_add_summary_link.py

chanzuckerberg/dcp-prototype

24d2323ba5ae1482395da35ea11c42708e3a52ce

[ "MIT" ]

16

2020-05-12T23:25:51.000Z

2021-06-17T12:04:13.000Z

backend/database/versions/03_fa0950f6df19_add_summary_link.py

chanzuckerberg/corpora-data-portal

7319e037bc91dd325d1c1bbf7febe18675d57a8c

[ "MIT" ]

943

2020-05-11T18:03:59.000Z

2021-08-18T21:57:51.000Z

backend/database/versions/03_fa0950f6df19_add_summary_link.py

HumanCellAtlas/dcp-prototype

44ca66a266004124f39d7d3e3dd75e9076012ff0

[ "MIT" ]

2

2020-12-19T10:04:24.000Z

2021-06-19T12:38:23.000Z

"""add_summary_link Revision ID: 03_fa0950f6df19 Revises: 02_7968f161b60c Create Date: 2020-08-24 11:04:30.640496 """ from alembic import op from sqlalchemy.dialects.postgresql import ENUM # revision identifiers, used by Alembic. revision = "03_fa0950f6df19" down_revision = "02_7968f161b60c" branch_labels = None depends_on = None def upgrade(): project_link_enum = ENUM(name="projectlink") project_link_enum.drop(op.get_bind(), checkfirst=True) project_link_enum = ENUM("PROTOCOL", "SUMMARY", "RAW_DATA", "OTHER", name="projectlink", create_type=False) project_link_enum.create(op.get_bind(), checkfirst=True) op.alter_column( table_name="project_link", column_name="link_type", type_=project_link_enum, nullable=True, postgresql_using=( "CASE WHEN link_type = 'PROTOCOL' THEN 'PROTOCOL'::projectlink " " WHEN link_type = 'RAW_DATA' THEN 'RAW_DATA'::projectlink " " WHEN link_type = 'OTHER' THEN 'OTHER'::projectlink " " END" ), ) def downgrade(): project_link_enum = ENUM(name="projectlink") project_link_enum.drop(op.get_bind(), checkfirst=True) project_link_enum = ENUM("PROTOCOL", "RAW_DATA", "OTHER", name="projectlink", create_type=False) project_link_enum.create(op.get_bind(), checkfirst=True) op.alter_column( table_name="project_link", column_name="link_type", type_=project_link_enum, nullable=True, postgresql_using=( "CASE WHEN link_type = 'PROTOCOL' THEN 'PROTOCOL'::projectlink " " WHEN link_type = 'RAW_DATA' THEN 'RAW_DATA'::projectlink " " WHEN link_type = 'OTHER' THEN 'OTHER'::projectlink " " WHEN link_type = 'SUMMARY' THEN 'OTHER'::projectlink " " END" ), )

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4d9aac001b4d36e5f2e6a773d2ebb5efe266a50b

97

py

Python

pulp_smash/__init__.py

bmbouter/pulp-smash

dcd77e2f7d6b8ac92ab176028bd49a830415956e

[ "CNRI-Python" ]

null

pulp_smash/__init__.py

bmbouter/pulp-smash

dcd77e2f7d6b8ac92ab176028bd49a830415956e

[ "CNRI-Python" ]

null

pulp_smash/__init__.py

bmbouter/pulp-smash

dcd77e2f7d6b8ac92ab176028bd49a830415956e

[ "CNRI-Python" ]

null

# coding=utf-8 """The root of Pulp Smash's namespace.""" from __future__ import unicode_literals

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1

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0

5

4dab4562d96b253c5351e8a9a43b8f41a0185a1d

122

py

Python

discuss/discuss/settings/production.py

unmade/discuss-project

fbebf942742457891672dc5e6aebf19bdfb61bcc

[ "MIT" ]

1

2019-12-13T02:14:16.000Z

discuss/discuss/settings/production.py

unmade/discuss-project

fbebf942742457891672dc5e6aebf19bdfb61bcc

[ "MIT" ]

null

discuss/discuss/settings/production.py

unmade/discuss-project

fbebf942742457891672dc5e6aebf19bdfb61bcc

[ "MIT" ]

null

from .base import * # NOQA ALLOWED_HOSTS = env.list('DJANGO_ALLOWED_HOSTS', default=['example.com', ]) # TODO: logging

20.333333

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0

1

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1

0

5

4dc842c54a47a79d5a82438eb1a74b3c20674d63

25

py

Python

aldryn_django_cms/__init__.py

aldryn/aldryn-django-cms

a2b18f91d5dc2e4d0de9474f831a3a1283c98085

[ "BSD-3-Clause" ]

5

2015-11-16T15:35:42.000Z

2017-10-16T06:39:50.000Z

aldryn_django_cms/__init__.py

aldryn/aldryn-django-cms

a2b18f91d5dc2e4d0de9474f831a3a1283c98085

[ "BSD-3-Clause" ]

60

2015-10-12T10:20:30.000Z

2017-05-24T12:35:27.000Z

aldryn_django_cms/__init__.py

aldryn/aldryn-django-cms

a2b18f91d5dc2e4d0de9474f831a3a1283c98085

[ "BSD-3-Clause" ]

7

2015-11-26T13:00:10.000Z

2018-11-13T10:13:19.000Z

__version__ = '3.10.0.0'

12.5

24

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0

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1

0

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null

0

5

4dcb81e2d05a47aba3019666cb62c80a1a6950b0

224

py

Python

tutorial-env/lib/python3.7/site-packages/pytest_html/__init__.py

liyinchigithub/feishu-robot

12060914771684f0148dafd33090116861a24b30

[ "Apache-2.0" ]

7

2022-03-10T07:03:14.000Z

2022-03-24T09:42:46.000Z

tutorial-env/lib/python3.7/site-packages/pytest_html/__init__.py

liyinchigithub/feishu-robot

12060914771684f0148dafd33090116861a24b30

[ "Apache-2.0" ]

null

tutorial-env/lib/python3.7/site-packages/pytest_html/__init__.py

liyinchigithub/feishu-robot

12060914771684f0148dafd33090116861a24b30

[ "Apache-2.0" ]

1

2022-03-10T07:15:54.000Z

try: from . import __version __version__ = __version.version except ImportError: # package is not built with setuptools_scm __version__ = "unknown" __pypi_url__ = "https://pypi.python.org/pypi/pytest-html"

22.4

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150d89bda9bfb6168c9cae5cffea4c49b4e93c1f

248

py

Python

fireworks/core/__init__.py

kellylab/Fireworks

ff027cd8d1b8ce5eec6a37d786e7de675d8c0849

[ "MIT" ]

9

2019-05-01T01:22:10.000Z

2020-12-08T15:41:13.000Z

fireworks/core/__init__.py

smk508/Fireworks

ff027cd8d1b8ce5eec6a37d786e7de675d8c0849

[ "MIT" ]

53

2019-01-20T17:02:38.000Z

2019-03-24T18:00:08.000Z

fireworks/core/__init__.py

smk508/Fireworks

ff027cd8d1b8ce5eec6a37d786e7de675d8c0849

[ "MIT" ]

4

2019-07-04T15:39:46.000Z

2021-08-17T04:59:25.000Z

from . import cache, message, junction, pipe, model from .message import Message, TensorMessage, cat from .pipe import Pipe, HookedPassThroughPipe, recursive from .model import Model, PyTorch_Model, model_from_module from .junction import Junction

41.333333

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6.25

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248

5

59

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null

0

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1

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5

1516cc29671e7d42ddfed544f20318ff6c941961

89

py

Python

packages/random/src/expected_value.py

markupCode/mip-examples

83048ba34432e8c760f5877b80fde9431e3c9bd7

[ "MIT" ]

null

packages/random/src/expected_value.py

markupCode/mip-examples

83048ba34432e8c760f5877b80fde9431e3c9bd7

[ "MIT" ]

null

packages/random/src/expected_value.py

markupCode/mip-examples

83048ba34432e8c760f5877b80fde9431e3c9bd7

[ "MIT" ]

null

def expected_value(sample: [float]) -> float: return (1 / len(sample)) * sum(sample)

29.666667

45

0.651685

12

89

4.75

0.75

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0.013514

0.168539

89

2

46

44.5

0.756757

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0.5

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null

0

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null

0

1

0

1

0

5

12744de14dd41cc13e39d99f60e65e56a4bf9c1d

169

py

Python

labcore/measurement/__init__.py

wpfff/labcore

9ec2919d7ece8c390a621d357080dbb918c6a899

[ "MIT" ]

2

2021-08-09T20:13:47.000Z

2021-09-14T03:56:48.000Z

labcore/measurement/__init__.py

wpfff/labcore

9ec2919d7ece8c390a621d357080dbb918c6a899

[ "MIT" ]

2

2021-09-14T00:07:24.000Z

2021-09-15T14:33:55.000Z

labcore/measurement/__init__.py

wpfff/labcore

9ec2919d7ece8c390a621d357080dbb918c6a899

[ "MIT" ]

6

2020-11-18T19:29:36.000Z

2021-09-22T14:48:43.000Z

from .record import recording, record_as, DataSpec, ds, dep, indep, dependent, \ independent, get_parameter from .sweep import Sweep, sweep_parameter, once, pointer

42.25

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22

169

5.818182

0.727273

0

0.142012

169

3

81

56.333333

0.882759

0

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0

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0

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null

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1

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1

0

1

0

5

129b3bb05bd1d8d6593f5950141df3e93ee08c9c

182

py

Python

runner_master/runner/data/__init__.py

bigvideoresearch/SCC

f26cdb6aaf248b5112812dbdac1f1b5086aebccc

[ "MIT" ]

5

2021-09-15T21:48:55.000Z

2022-03-22T11:21:58.000Z

runner_master/runner/data/__init__.py

bigvideoresearch/SCC

f26cdb6aaf248b5112812dbdac1f1b5086aebccc

[ "MIT" ]

null

runner_master/runner/data/__init__.py

bigvideoresearch/SCC

f26cdb6aaf248b5112812dbdac1f1b5086aebccc

[ "MIT" ]

1

2021-08-20T08:40:15.000Z

from . import datasets from . import samplers from . import filereaders from . import imglists try: from .dataloader import * except: from torch.utils.data import DataLoader

20.222222

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0.758242

23

182

6

0.521739

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0.186813

182

8

44

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0

1

0

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1

0

null

0

1

0

1

0

5

12d5f0feffb75168d30eb4732a4a4b41b93aac88

97

py

Python

main.py

ig0r-ferreira/calculadora

e3ac09ce169dc43df2a78c787c66537f011c97f6

[ "MIT" ]

null

main.py

ig0r-ferreira/calculadora

e3ac09ce169dc43df2a78c787c66537f011c97f6

[ "MIT" ]

null

main.py

ig0r-ferreira/calculadora

e3ac09ce169dc43df2a78c787c66537f011c97f6

[ "MIT" ]

1

2022-03-28T21:12:14.000Z

from interface.calculadora import Calculadora calculadora = Calculadora() calculadora.iniciar()

19.4

45

0.835052

9

97

9

0.555556

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0.092784

97

4

46

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