xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

4ecc634df37a40e7e1eb673e794fa59d0a3fd54c

164

py

Python

tests_common/fixtures/add_a_draft.py

django-doctor/lite-frontend

330ff9575fd22d7c4c42698ac2d653244e6180d6

[ "MIT" ]

1

2021-10-16T16:36:58.000Z

tests_common/fixtures/add_a_draft.py

django-doctor/lite-frontend

330ff9575fd22d7c4c42698ac2d653244e6180d6

[ "MIT" ]

45

2020-08-11T14:37:46.000Z

2022-03-29T17:03:02.000Z

fixtures/add_a_draft.py

uktrade/lite-tests-common

8ae386e55f899d0ffd61cc0a9156cd4db340d6d1

[ "MIT" ]

3

2021-02-01T06:26:19.000Z

2022-02-21T23:02:46.000Z

from pytest import fixture @fixture(scope="module") def add_a_draft(context, api_test_client): context.draft_id = api_test_client.applications.create_draft()

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py

Python

production/pygsl-0.9.5/pygsl/_numobj.py

juhnowski/FishingRod

457e7afb5cab424296dff95e1acf10ebf70d32a9

[ "MIT" ]

1

2019-07-29T02:53:51.000Z

production/pygsl-0.9.5/pygsl/_numobj.py

juhnowski/FishingRod

457e7afb5cab424296dff95e1acf10ebf70d32a9

[ "MIT" ]

1

2021-09-11T14:30:32.000Z

Dockerfiles/gedlab-khmer-filter-abund/pymodules/python2.7/lib/python/pygsl/_numobj.py

poojavade/Genomics_Docker

829b5094bba18bbe03ae97daf925fee40a8476e8

[ "Apache-2.0" ]

2

2016-12-19T02:27:46.000Z

2019-07-29T02:53:54.000Z

""" WARNING: File Generated during build. DO NOT MODIFY!!! """ from numpy import * nummodule = "numpy"

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py

Python

hello.py

vjmiyagi/twitoff_vjm

ff2dece8abcaf9da79c6222de1d22239b74d255a

[ "MIT" ]

null

hello.py

vjmiyagi/twitoff_vjm

ff2dece8abcaf9da79c6222de1d22239b74d255a

[ "MIT" ]

null

hello.py

vjmiyagi/twitoff_vjm

ff2dece8abcaf9da79c6222de1d22239b74d255a

[ "MIT" ]

null

from flask import Flask app = Flask(__name__) @app.route('/') def hello_world(): return 'Hello, World!' @app.route('/new') def new_page(): return 'This is another page!'

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py

Python

src/smach_based_introspection_framework/__init__.py

birlrobotics/smach_based_introspection_framework

f16742339cddfc86effba4dbf6e5062304704b89

[ "BSD-3-Clause" ]

7

2018-02-23T13:02:13.000Z

2020-07-28T18:27:47.000Z

src/smach_based_introspection_framework/__init__.py

birlrobotics/smach_based_introspection_framework

f16742339cddfc86effba4dbf6e5062304704b89

[ "BSD-3-Clause" ]

null

src/smach_based_introspection_framework/__init__.py

birlrobotics/smach_based_introspection_framework

f16742339cddfc86effba4dbf6e5062304704b89

[ "BSD-3-Clause" ]

1

2019-06-24T09:20:06.000Z

from offline_part.collect_data_from_rosbag.ExperimentRecord import ExperimentRecord

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py

Python

nlbsg/__version__.py

kohrongying/nlbsg

13d57edc8a5af4201f1cb6b7276775d93d6cde0c

[ "MIT" ]

null

nlbsg/__version__.py

kohrongying/nlbsg

13d57edc8a5af4201f1cb6b7276775d93d6cde0c

[ "MIT" ]

null

nlbsg/__version__.py

kohrongying/nlbsg

13d57edc8a5af4201f1cb6b7276775d93d6cde0c

[ "MIT" ]

null

# generated __version__ = 'HEAD'

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14e317ecc6b2fdef8fd5dd47bc82d568d5acecb1

194

py

Python

.venv35/Scripts/django-admin.py

ndaley7/BodySlide-Group-Generator

3ed7b78c5f5ccec103b6bf06bc24398cfb6ad014

[ "BSD-3-Clause" ]

2

2019-11-10T16:13:51.000Z

2021-02-17T18:29:44.000Z

.venv35/Scripts/django-admin.py

ndaley7/BodySlide-Group-Generator

3ed7b78c5f5ccec103b6bf06bc24398cfb6ad014

[ "BSD-3-Clause" ]

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2019-11-10T16:20:09.000Z

2019-12-02T14:23:58.000Z

.venv35/Scripts/django-admin.py

ndaley7/BodySlide-Group-Generator

3ed7b78c5f5ccec103b6bf06bc24398cfb6ad014

[ "BSD-3-Clause" ]

null

#!C:\Users\ndaley\Documents\GitHub\BodySlide-Group-Generator\.venv35\Scripts\python.exe from django.core import management if __name__ == "__main__": management.execute_from_command_line()

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py

Python

01_Modelos_Supervisionados/1.5_Descida_do_Gradiente_Estocastico/1.5.9_Detalhes_de_Implementacao.py

BrunoBertti/Scikit_Learning

4b9e10ff7909f3728ac1e8bba19f5fd779340bc4

[ "MIT" ]

null

01_Modelos_Supervisionados/1.5_Descida_do_Gradiente_Estocastico/1.5.9_Detalhes_de_Implementacao.py

BrunoBertti/Scikit_Learning

4b9e10ff7909f3728ac1e8bba19f5fd779340bc4

[ "MIT" ]

null

01_Modelos_Supervisionados/1.5_Descida_do_Gradiente_Estocastico/1.5.9_Detalhes_de_Implementacao.py

BrunoBertti/Scikit_Learning

4b9e10ff7909f3728ac1e8bba19f5fd779340bc4

[ "MIT" ]

null

########## 1.5.9. Detalhes de implementação ########## # A implementação do SGD é influenciada pelo Gradiente Estocástico SVM de 7. Semelhante ao SvmSGD, o vetor de peso é representado como o produto de um escalar e um vetor que permite uma atualização de peso eficiente no caso de regularização L2. No caso da entrada esparsa X, o intercepto é atualizado com uma taxa de aprendizado menor (multiplicado por 0,01) para levar em conta o fato de ser atualizado com mais frequência. Os exemplos de treinamento são selecionados sequencialmente e a taxa de aprendizado é reduzida após cada exemplo observado. Adotamos o cronograma de taxa de aprendizado de 8. Para classificação multiclasse, é usada uma abordagem “um contra todos”. Usamos o algoritmo de gradiente truncado proposto em 9 para regularização L1 (e a Elastic Net). O código está escrito em Cython. ## Referências: ## 7 “Stochastic Gradient Descent” L. Bottou - Website, 2010. (https://leon.bottou.org/projects/sgd) ## 8 “Pegasos: Primal estimated sub-gradient solver for svm” S. Shalev-Shwartz, Y. Singer, N. Srebro - In Proceedings of ICML ‘07. (http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.74.8513) ## 9 “Stochastic gradient descent training for l1-regularized log-linear models with cumulative penalty” Y. Tsuruoka, J. Tsujii, S. Ananiadou - In Proceedings of the AFNLP/ACL ‘09. (https://www.aclweb.org/anthology/P/P09/P09-1054.pdf) ## 10(1,2) “Towards Optimal One Pass Large Scale Learning with Averaged Stochastic Gradient Descent” Xu, Wei (https://arxiv.org/pdf/1107.2490v2.pdf) ## 11 “Regularization and variable selection via the elastic net” H. Zou, T. Hastie - Journal of the Royal Statistical Society Series B, 67 (2), 301-320. (http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.124.4696) ## 12 “Solving large scale linear prediction problems using stochastic gradient descent algorithms” T. Zhang - In Proceedings of ICML ‘04. (http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.58.7377)

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py

Python

backend/run.py

GJCav/thywy

3c458bccdd23bab78b6a8bd65603c7845e643d70

[ "MIT" ]

8

2022-01-23T07:30:06.000Z

2022-02-15T03:39:25.000Z

backend/run.py

Dr-Left/thuwy

3c458bccdd23bab78b6a8bd65603c7845e643d70

[ "MIT" ]

5

2022-01-21T03:31:22.000Z

2022-03-04T00:01:59.000Z

backend/run.py

Dr-Left/thuwy

3c458bccdd23bab78b6a8bd65603c7845e643d70

[ "MIT" ]

2

2022-01-23T08:09:46.000Z

2022-02-24T05:55:02.000Z

import eventlet from eventlet import wsgi eventlet.monkey_patch() from app import app if __name__ == "__main__": wsgi.server(eventlet.listen(('', 5000)), app)

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py

Python

data/studio21_generated/introductory/3982/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

data/studio21_generated/introductory/3982/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

data/studio21_generated/introductory/3982/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

def stat(strg):

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555

py

Python

src/megrok/rdb/__init__.py

prsephton/megrok.rdb

5e1f5493704159869eac24518b77fc0a06c62c14

[ "ZPL-2.1" ]

null

src/megrok/rdb/__init__.py

prsephton/megrok.rdb

5e1f5493704159869eac24518b77fc0a06c62c14

[ "ZPL-2.1" ]

null

src/megrok/rdb/__init__.py

prsephton/megrok.rdb

5e1f5493704159869eac24518b77fc0a06c62c14

[ "ZPL-2.1" ]

null

from megrok.rdb.components import Model, Container, QueryContainer from megrok.rdb.schema import schema_from_model from megrok.rdb.directive import (key, metadata, tablename, reflected, table, tableargs, polymorphic_on, inherits, polymorphic_identity) from megrok.rdb.setup import setupDatabase, setupDatabaseSkipCreate from megrok.rdb.interfaces import IDatabaseSetupEvent from megrok.rdb.prop import locatedproperty from sqlalchemy import MetaData from z3c.saconfig import Session

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119074f6d3e2051f386f94dba00fca89ea6339fe

19

py

Python

fonty/models/__init__.py

jamesssooi/font-cli

c98227606ad5c6ebeab01f70d754db29b8406f44

[ "Apache-2.0" ]

12

2018-05-02T05:59:31.000Z

2022-03-15T13:03:26.000Z

fonty/models/__init__.py

jamesssooi/font-cli

c98227606ad5c6ebeab01f70d754db29b8406f44

[ "Apache-2.0" ]

null

fonty/models/__init__.py

jamesssooi/font-cli

c98227606ad5c6ebeab01f70d754db29b8406f44

[ "Apache-2.0" ]

2

2018-05-02T05:59:40.000Z

2020-04-19T13:18:09.000Z

'''fonty.models'''

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1198b8fa2ed6be576f806d91852fb958d42523b1

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py

Python

src/adventofcode/util/console.py

MushroomMaula/adventofcode

924cd9ffe2bbdd4a2743a38c737ddafd9fb2d21b

[ "MIT" ]

null

src/adventofcode/util/console.py

MushroomMaula/adventofcode

924cd9ffe2bbdd4a2743a38c737ddafd9fb2d21b

[ "MIT" ]

null

src/adventofcode/util/console.py

MushroomMaula/adventofcode

924cd9ffe2bbdd4a2743a38c737ddafd9fb2d21b

[ "MIT" ]

null

from rich.console import Console console = Console(color_system='truecolor')

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11a2ab3aaf636c8c285e0db440943f273466780e

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py

Python

txdav/caldav/datastore/scheduling/ischedule/test/test_cross_pod_scheduling.py

backwardn/ccs-calendarserver

13c706b985fb728b9aab42dc0fef85aae21921c3

[ "Apache-2.0" ]

462

2016-08-14T17:43:24.000Z

2022-03-17T07:38:16.000Z

txdav/caldav/datastore/scheduling/ischedule/test/test_cross_pod_scheduling.py

backwardn/ccs-calendarserver

13c706b985fb728b9aab42dc0fef85aae21921c3

[ "Apache-2.0" ]

72

2016-09-01T23:19:35.000Z

2020-02-05T02:09:26.000Z

txdav/caldav/datastore/scheduling/ischedule/test/test_cross_pod_scheduling.py

backwardn/ccs-calendarserver

13c706b985fb728b9aab42dc0fef85aae21921c3

[ "Apache-2.0" ]

171

2016-08-16T03:50:30.000Z

2022-03-26T11:49:55.000Z

## # Copyright (c) 2012-2017 Apple 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. ## from pycalendar.datetime import DateTime from twisted.internet.defer import inlineCallbacks, returnValue from twistedcaldav.ical import Component from txdav.caldav.datastore.scheduling.ischedule.delivery import IScheduleRequest from txdav.caldav.datastore.scheduling.ischedule.resource import IScheduleInboxResource from txdav.common.datastore.podding.test.util import MultiStoreConduitTest from txweb2.dav.test.util import SimpleRequest from twext.internet.gaiendpoint import MultiFailure from twisted.python.failure import Failure from twisted.internet.error import ConnectionRefusedError from twext.enterprise.jobs.jobitem import JobItem class TestCrossPodScheduling (MultiStoreConduitTest): now = { "now": DateTime.getToday().getYear(), "now1": DateTime.getToday().getYear() + 1, } @inlineCallbacks def setUp(self): """ Setup fake hook-up between pods """ @inlineCallbacks def _fakeSubmitRequest(iself, ssl, host, port, request): if self.refuseConnection: raise MultiFailure((Failure(ConnectionRefusedError()),)) else: pod = (port - 8008) / 100 inbox = IScheduleInboxResource(self.site.resource, self.theStoreUnderTest(pod), podding=True) response = yield inbox.http_POST(SimpleRequest( self.site, "POST", "http://{host}:{port}/podding".format(host=host, port=port), request.headers, request.stream.mem, )) returnValue(response) self.refuseConnection = False self.patch(IScheduleRequest, "_submitRequest", _fakeSubmitRequest) yield super(TestCrossPodScheduling, self).setUp() def configure(self): super(TestCrossPodScheduling, self).configure() # Enable the queue and make it slow self.patch(self.config.Scheduling.Options.WorkQueues, "Enabled", True) self.patch(self.config.Scheduling.Options.WorkQueues, "RequestDelaySeconds", 0.1) self.patch(self.config.Scheduling.Options.WorkQueues, "ReplyDelaySeconds", 0.1) self.patch(self.config.Scheduling.Options.WorkQueues, "AttendeeRefreshBatchDelaySeconds", 0.1) self.patch(self.config.Scheduling.Options.WorkQueues, "TemporaryFailureDelay", 5) @inlineCallbacks def test_simpleInvite(self): data_organizer = """BEGIN:VCALENDAR VERSION:2.0 CALSCALE:GREGORIAN PRODID:-//CALENDARSERVER.ORG//NONSGML Version 1//EN BEGIN:VEVENT UID:uid_data DTSTART:{now1:04d}0102T160000Z DURATION:PT1H CREATED:20060102T190000Z DTSTAMP:20051222T210507Z SUMMARY:data01_2 ORGANIZER:mailto:user01@example.com ATTENDEE:mailto:user01@example.com ATTENDEE:mailto:user02@example.com ATTENDEE:mailto:puser02@example.com END:VEVENT END:VCALENDAR """.replace("\n", "\r\n").format(**self.now) # Organizer schedules home = yield self.homeUnderTest(txn=self.theTransactionUnderTest(0), name="user01", create=True) calendar = yield home.childWithName("calendar") yield calendar.createCalendarObjectWithName("1.ics", Component.fromString(data_organizer)) yield self.commitTransaction(0) yield self.waitAllEmpty() # Data for user02 home = yield self.homeUnderTest(txn=self.theTransactionUnderTest(0), name="user02", create=True) calendar = yield home.childWithName("calendar") cobjs = yield calendar.calendarObjects() self.assertEqual(len(cobjs), 1) self.assertEqual(cobjs[0].uid(), "uid_data") yield self.commitTransaction(0) # Data for puser02 home = yield self.homeUnderTest(txn=self.theTransactionUnderTest(1), name="puser02", create=True) calendar = yield home.childWithName("calendar") cobjs = yield calendar.calendarObjects() self.assertEqual(len(cobjs), 1) self.assertEqual(cobjs[0].uid(), "uid_data") yield self.commitTransaction(1) @inlineCallbacks def test_connectionRefusedForOrganizer(self): data_organizer = """BEGIN:VCALENDAR VERSION:2.0 CALSCALE:GREGORIAN PRODID:-//CALENDARSERVER.ORG//NONSGML Version 1//EN BEGIN:VEVENT UID:uid_data DTSTART:{now1:04d}0102T160000Z DURATION:PT1H CREATED:20060102T190000Z DTSTAMP:20051222T210507Z SUMMARY:data01_2 ORGANIZER:mailto:user01@example.com ATTENDEE:mailto:user01@example.com ATTENDEE:mailto:user02@example.com ATTENDEE:mailto:puser02@example.com END:VEVENT END:VCALENDAR """.replace("\n", "\r\n").format(**self.now) # Stop cross-pod connection from working self.refuseConnection = True # Organizer schedules home = yield self.homeUnderTest(txn=self.theTransactionUnderTest(0), name="user01", create=True) calendar = yield home.childWithName("calendar") yield calendar.createCalendarObjectWithName("1.ics", Component.fromString(data_organizer)) yield self.commitTransaction(0) while True: jobs = yield JobItem.all(self.theTransactionUnderTest(0)) yield self.commitTransaction(0) if len(jobs) == 1 and jobs[0].failed > 0: break # Data for user02 home = yield self.homeUnderTest(txn=self.theTransactionUnderTest(0), name="user02", create=True) calendar = yield home.childWithName("calendar") cobjs = yield calendar.calendarObjects() self.assertEqual(len(cobjs), 1) self.assertEqual(cobjs[0].uid(), "uid_data") yield self.commitTransaction(0) # Data for puser02 home = yield self.homeUnderTest(txn=self.theTransactionUnderTest(1), name="puser02", create=True) calendar = yield home.childWithName("calendar") cobjs = yield calendar.calendarObjects() self.assertEqual(len(cobjs), 0) yield self.commitTransaction(1) # Now allow cross-pod to work self.refuseConnection = False yield self.waitAllEmpty() # Data for puser02 home = yield self.homeUnderTest(txn=self.theTransactionUnderTest(1), name="puser02", create=True) calendar = yield home.childWithName("calendar") cobjs = yield calendar.calendarObjects() self.assertEqual(len(cobjs), 1) self.assertEqual(cobjs[0].uid(), "uid_data") yield self.commitTransaction(1) @inlineCallbacks def test_connectionRefusedForAttendee(self): data_organizer = """BEGIN:VCALENDAR VERSION:2.0 CALSCALE:GREGORIAN PRODID:-//CALENDARSERVER.ORG//NONSGML Version 1//EN BEGIN:VEVENT UID:uid_data DTSTART:{now1:04d}0102T160000Z DURATION:PT1H CREATED:20060102T190000Z DTSTAMP:20051222T210507Z SUMMARY:data01_2 ORGANIZER:mailto:user01@example.com ATTENDEE:mailto:user01@example.com ATTENDEE:mailto:user02@example.com ATTENDEE:mailto:puser02@example.com END:VEVENT END:VCALENDAR """.replace("\n", "\r\n").format(**self.now) data_attendee = """BEGIN:VCALENDAR VERSION:2.0 CALSCALE:GREGORIAN PRODID:-//CALENDARSERVER.ORG//NONSGML Version 1//EN BEGIN:VEVENT UID:uid_data DTSTART:{now1:04d}0102T160000Z DURATION:PT1H CREATED:20060102T190000Z DTSTAMP:20051222T210507Z SUMMARY:data01_2 ORGANIZER:mailto:user01@example.com ATTENDEE:mailto:user01@example.com ATTENDEE:mailto:user02@example.com ATTENDEE;PARTSTAT=DECLINED:mailto:puser02@example.com END:VEVENT END:VCALENDAR """.replace("\n", "\r\n").format(**self.now) # Organizer schedules home = yield self.homeUnderTest(txn=self.theTransactionUnderTest(0), name="user01", create=True) calendar = yield home.childWithName("calendar") yield calendar.createCalendarObjectWithName("1.ics", Component.fromString(data_organizer)) yield self.commitTransaction(0) yield self.waitAllEmpty() # Data for user02 home = yield self.homeUnderTest(txn=self.theTransactionUnderTest(0), name="user02", create=True) calendar = yield home.childWithName("calendar") cobjs = yield calendar.calendarObjects() self.assertEqual(len(cobjs), 1) self.assertEqual(cobjs[0].uid(), "uid_data") yield self.commitTransaction(0) # Data for puser02 home = yield self.homeUnderTest(txn=self.theTransactionUnderTest(1), name="puser02", create=True) calendar = yield home.childWithName("calendar") cobjs = yield calendar.calendarObjects() self.assertEqual(len(cobjs), 1) self.assertEqual(cobjs[0].uid(), "uid_data") yield self.commitTransaction(1) # Stop cross-pod connection from working self.refuseConnection = True # Attendee changes home = yield self.homeUnderTest(txn=self.theTransactionUnderTest(1), name="puser02", create=True) calendar = yield home.childWithName("calendar") cobjs = yield calendar.calendarObjects() yield cobjs[0].setComponent(Component.fromString(data_attendee)) yield self.commitTransaction(1) while True: jobs = yield JobItem.all(self.theTransactionUnderTest(1)) yield self.commitTransaction(1) if len(jobs) == 1 and jobs[0].failed > 0: break # Organizer data unchanged cobj = yield self.calendarObjectUnderTest(txn=self.theTransactionUnderTest(0), home="user01", calendar_name="calendar", name="1.ics") comp = yield cobj.componentForUser() self.assertTrue("DECLINED" not in str(comp)) yield self.commitTransaction(0) # Now allow cross-pod to work self.refuseConnection = False yield self.waitAllEmpty() # Organizer data changed cobj = yield self.calendarObjectUnderTest(txn=self.theTransactionUnderTest(0), home="user01", calendar_name="calendar", name="1.ics") comp = yield cobj.componentForUser() self.assertTrue("DECLINED" in str(comp)) yield self.commitTransaction(0)

37.827338

141

0.700932

1,166

10,516

6.295026

0.20669

0.039237

0.053134

0.035967

0.712943

0.701226

0.678883

0.663896

0.628747

0

0.040951

0.191898

10,516

277

142

37.963899

0.822782

0.09652

0

0.75122

0

0.220587

0.114688

0

0.073171

1

0.029268

false

0

0.053659

0

0.092683

0

null

0

1

0

1

0

1

0

null

0

4

11be88f0d69076009035e61b8ed26441d54a8cb2

3,642

py

Python

selenium_tests/Tests/TestSuiteWithinPage/test_RegisterPage.py

avielfedida/RoboAdvisor

ca8ba3c479f5fd3ae1e468f11f09ecf08e2a0cf9

[ "MIT" ]

null

selenium_tests/Tests/TestSuiteWithinPage/test_RegisterPage.py

avielfedida/RoboAdvisor

ca8ba3c479f5fd3ae1e468f11f09ecf08e2a0cf9

[ "MIT" ]

3

2020-12-31T08:03:30.000Z

2021-03-30T06:39:50.000Z

selenium_tests/Tests/TestSuiteWithinPage/test_RegisterPage.py

avielfedida/RoboAdvisor

ca8ba3c479f5fd3ae1e468f11f09ecf08e2a0cf9

[ "MIT" ]

1

2021-06-20T09:13:03.000Z

import pytest from selenium_tests.Data.SiteMessages import SiteMessages from selenium_tests.Data.TemplateData import TemplateData from selenium_tests.Pages.RegisterPage import RegisterPage from selenium_tests.utils import get_random_username_password @pytest.mark.usefixtures("tear_up_down") class Test_RegisterPage: def test_crucial_elements_visibility(self): page = RegisterPage(self.driver) assert page.is_register_btn_exists() assert page.is_email_field_exists() assert page.is_password_field_exists() assert page.is_password_repeat_field_exists() assert page.is_first_name_field_exists() assert page.is_last_name_field_exists() assert page.is_birth_date_field_exists() def test_register_fail(self): username, password = get_random_username_password() page = RegisterPage(self.driver) page.refresh_page() assert page.is_danger_not_presented() page.do_register(username="", password=password, birth_date=TemplateData.BIRTH_DATE, first_name=TemplateData.FIRST_NAME, last_name=TemplateData.LAST_NAME) assert page.is_danger_presented() page.refresh_page() assert page.is_danger_not_presented() page.do_register(username=username, password="", birth_date=TemplateData.BIRTH_DATE, first_name=TemplateData.FIRST_NAME, last_name=TemplateData.LAST_NAME) assert page.is_danger_presented() page.refresh_page() assert page.is_danger_not_presented() page.do_register(username=username, password=password, birth_date="", first_name=TemplateData.FIRST_NAME, last_name=TemplateData.LAST_NAME) assert page.is_danger_presented() page.refresh_page() assert page.is_danger_not_presented() page.do_register(username=username, password=password, birth_date=TemplateData.BIRTH_DATE, first_name="", last_name=TemplateData.LAST_NAME) assert page.is_danger_presented() page.refresh_page() assert page.is_danger_not_presented() page.do_register(username=username, password=password, birth_date=TemplateData.BIRTH_DATE, first_name=TemplateData.FIRST_NAME, last_name="") assert page.is_danger_presented() def test_register_twice_same_username(self): page = RegisterPage(self.driver) username, password = get_random_username_password() page.do_register(username=username, password=password, birth_date=TemplateData.BIRTH_DATE, first_name=TemplateData.FIRST_NAME, last_name=TemplateData.LAST_NAME) assert page.is_success_presented() assert page.is_success_message_equal(SiteMessages.REGISTER_SUCCESSFULLY) page.refresh_page() page.do_register(username=username, password=password, birth_date=TemplateData.BIRTH_DATE, first_name=TemplateData.FIRST_NAME, last_name=TemplateData.LAST_NAME) assert page.is_danger_presented() assert page.is_danger_message_equal(SiteMessages.REGISTER_ALREADY_USER_EXISTS) def test_register_success(self): page = RegisterPage(self.driver) username, password = get_random_username_password() page.do_register(username=username, password=password, birth_date=TemplateData.BIRTH_DATE, first_name=TemplateData.FIRST_NAME, last_name=TemplateData.LAST_NAME) assert page.is_success_presented() assert page.is_success_message_equal(SiteMessages.REGISTER_SUCCESSFULLY)

46.692308

113

0.7257

426

3,642

5.830986

0.131455

0.092593

0.111111

0.086957

0.772544

0.751208

0.704509

0.675523

0

0.199616

3,642

77

114

47.298701

0.852144

0

0.619048

0

0.003295

0

0.365079

1

0.063492

false

0.222222

0.079365

0

0.15873

0

null

0

1

0

1

0

null

0

1

0

4

11da44163e56d17ab6e07e6aee2f8cb70fcc8149

860

py

Python

UnitTests/test_merge_images.py

Mohamab29/FracSegment

2cca4e69a82ca3e6733d3b29e0e093fff5e55fe2

[ "Apache-2.0" ]

null

UnitTests/test_merge_images.py

Mohamab29/FracSegment

2cca4e69a82ca3e6733d3b29e0e093fff5e55fe2

[ "Apache-2.0" ]

null

UnitTests/test_merge_images.py

Mohamab29/FracSegment

2cca4e69a82ca3e6733d3b29e0e093fff5e55fe2

[ "Apache-2.0" ]

null

import cv2 import numpy as np import pytest from BackEnd.merge_images import resize_two_images from BackEnd.merge_images import merge_images @pytest.fixture(scope="module") def colored_image(): return cv2.imread('./utest_assets/images/colored-image-merge.png') @pytest.fixture(scope="module") def original_image(): return cv2.imread('./utest_assets/images/image-merge.png') # we check if the function resize two images returns two images with the same size def test_resize_two_images(original_image, colored_image): img1, img2 = resize_two_images(original_image, colored_image) assert img1.shape == img2.shape # we check if the function returns a 3d numpy array def test_merge_images(original_image, colored_image): img = merge_images(original_image, colored_image) assert type(img) == np.ndarray assert len(img.shape) == 3

29.655172

82

0.774419

129

860

4.968992

0.356589

0.112324

0.093604

0.162246

0.605304

0.371295

0.24025

0

0.012097

0.134884

860

28

83

30.714286

0.849462

0.151163

0

0.111111

0

0.129298

0.112792

0

0.166667

1

0.222222

false

0

0.277778

0.111111

0.611111

0

null

0

1

0

null

0

1

0

1

0

4

eee66954ca5f1b2943a43fd7d4e4dee31cb3f328

255

py

Python

machine/serializers.py

mostafaitalian/digitec

46496ab23ef20a22840fb106d672ea56ba63f1f6

[ "MIT" ]

null

machine/serializers.py

mostafaitalian/digitec

46496ab23ef20a22840fb106d672ea56ba63f1f6

[ "MIT" ]

3

2021-09-08T03:21:22.000Z

2022-03-12T01:02:48.000Z

machine/serializers.py

mostafaitalian/digitec

46496ab23ef20a22840fb106d672ea56ba63f1f6

[ "MIT" ]

null

from rest_framework import serializers from .models import Machine class MachineSerializer(serializers.ModelSerializer): class Meta: model = Machine fields=('name', 'slug', 'serial', 'speed', 'category', 'customer','department')

28.333333

87

0.698039

25

255

7.08

0.8

0

0.184314

255

9

87

28.333333

0.850962

0

0.175781

0

1

0

false

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

e11e09729975783df8e853d44fc2f00e34178a31

118

py

Python

yc205/787.py

c-yan/yukicoder

cdbbd65402177225dd989df7fe01f67908484a69

[ "MIT" ]

null

yc205/787.py

c-yan/yukicoder

cdbbd65402177225dd989df7fe01f67908484a69

[ "MIT" ]

null

yc205/787.py

c-yan/yukicoder

cdbbd65402177225dd989df7fe01f67908484a69

[ "MIT" ]

null

P, Q = map(float, input().split()) p, q = P / 100, Q / 100 a = p * q b = (1 - p) * (1 - q) print(a / (a + b) * 100)

14.75

34

0.415254

25

118

1.96

0.44

0.122449

0

0.135802

0.313559

118

7

35

16.857143

0.469136

0

1

0

false

0

0.2

1

0

1

null

0

1

0

1

0

null

0

4

e1283fc4da632841d8d6a12cb428a2c4bb33531b

523

py

Python

nata/containers/__init__.py

babjarob/nata

8273f959ea025a9ab2e644988bf2e807be03ac85

[ "MIT" ]

30

2020-04-30T13:09:55.000Z

2021-12-27T22:05:41.000Z

nata/containers/__init__.py

babjarob/nata

8273f959ea025a9ab2e644988bf2e807be03ac85

[ "MIT" ]

60

2020-04-30T09:25:22.000Z

2021-09-18T21:26:39.000Z

nata/containers/__init__.py

babjarob/nata

8273f959ea025a9ab2e644988bf2e807be03ac85

[ "MIT" ]

13

2020-04-30T09:30:19.000Z

2021-10-18T20:51:08.000Z

# -*- coding: utf-8 -*- from .axis import Axis from .grid import GridDataset from .grid import GridArray from .particle import Quantity from .particle import QuantityArray from .particle import Particle from .particle import ParticleArray from .particle import ParticleDataset # from .ParticleDataset import ParticleQuantity # from .ParticleDataset import ParticleDataset # from .DatasetCollection import DatasetCollection from .grid import stack from .utils import register_plugin from .utils import register_backend

24.904762

50

0.818356

61

523

6.983607

0.344262

0.140845

0.211268

0.107981

0

0.002203

0.131931

523

20

51

26.15

0.936123

0.307839

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

0101bbecfb43ed18fb87e9612a4a71d3f350a479

78

py

Python

corehq/apps/es/exceptions.py

akashkj/commcare-hq

b00a62336ec26cea1477dfb8c048c548cc462831

[ "BSD-3-Clause" ]

null

corehq/apps/es/exceptions.py

akashkj/commcare-hq

b00a62336ec26cea1477dfb8c048c548cc462831

[ "BSD-3-Clause" ]

null

corehq/apps/es/exceptions.py

akashkj/commcare-hq

b00a62336ec26cea1477dfb8c048c548cc462831

[ "BSD-3-Clause" ]

null

class ESError(Exception): pass class ESRegistryError(ESError): pass

11.142857

31

0.717949

8

78

7

0.625

0

0.205128

78

6

32

13

0.903226

0

0.5

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

4

0134d4e7d024b7be10824f42458f089f2a3aabdc

57

py

Python

src/test/data/pa3/AdditionalTestCase/UnitTest/IfExpr_then.py

Leo-Enrique-Wu/chocopy_compiler_code_generation

4606be0531b3de77411572aae98f73169f46b3b9

[ "BSD-2-Clause" ]

null

src/test/data/pa3/AdditionalTestCase/UnitTest/IfExpr_then.py

Leo-Enrique-Wu/chocopy_compiler_code_generation

4606be0531b3de77411572aae98f73169f46b3b9

[ "BSD-2-Clause" ]

null

src/test/data/pa3/AdditionalTestCase/UnitTest/IfExpr_then.py

Leo-Enrique-Wu/chocopy_compiler_code_generation

4606be0531b3de77411572aae98f73169f46b3b9

[ "BSD-2-Clause" ]

null

print("then" if (len("Hello") > len("test")) else "else")

57

0.596491

9

57

3.777778

0.777778

0

0.105263

57

1

57

0.666667

0

0.293103

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

4

01445b5e860aa383334f8f501ba0cc1edc2e28c0

177

py

Python

wouso/games/grandchallenge/urls.py

AlexandruGhergut/wouso

f26244ff58ae626808ae8c58ccc93d21f9f2666f

[ "Apache-2.0" ]

117

2015-01-02T18:07:33.000Z

2021-01-06T22:36:25.000Z

wouso/games/grandchallenge/urls.py

AlexandruGhergut/wouso

f26244ff58ae626808ae8c58ccc93d21f9f2666f

[ "Apache-2.0" ]

229

2015-01-12T07:07:58.000Z

2019-10-12T08:27:01.000Z

wouso/games/grandchallenge/urls.py

AlexandruGhergut/wouso

f26244ff58ae626808ae8c58ccc93d21f9f2666f

[ "Apache-2.0" ]

96

2015-01-07T05:26:09.000Z

2020-06-25T07:28:51.000Z

from django.conf.urls.defaults import * from django.conf import settings urlpatterns = patterns('', url(r'^$', 'games.grandchallenge.views.index', name='gc_index_view'), )

25.285714

73

0.728814

23

177

5.521739

0.782609

0.15748

0.220472

0

0.112994

177

6

74

29.5

0.808917

0

0.265537

0.180791

0

1

0

false

0

0.4

0

0.4

0

1

0

null

0

1

0

1

0

null

0

1

0

4

014ee716d6c791118285b196d4612b86573d357b

226

py

Python

python/roland_checksum.py

olemb/midibab

c8629d171ebaf53de1a30ee0e5f02d71d742dd42

[ "MIT" ]

null

python/roland_checksum.py

olemb/midibab

c8629d171ebaf53de1a30ee0e5f02d71d742dd42

[ "MIT" ]

null

python/roland_checksum.py

olemb/midibab

c8629d171ebaf53de1a30ee0e5f02d71d742dd42

[ "MIT" ]

null

# Also used on the Yamaha Reface CS? def compute_checksum(data): """Compute checksum from a list of byte values. This is appended to the data of the sysex message. """ return (128 - (sum(data) & 0x7F)) & 0x7F

28.25

54

0.663717

35

226

4.257143

0.771429

0.201342

0

0.040698

0.238938

226

7

55

32.285714

0.825581

0.584071

0

0.101266

0

1

0.5

false

0

1

0

null

1

0

1

0

null

0

1

0

1

0

4

015cf1081b3221e2466a328672856fde32c14744

453,369

py

Python

Resources/Background/background.py

Gaoyifei1011/AmapProgram

d45a27abf9f508d922f37abc34f00da6d0aab4a0

[ "MIT" ]

1

2021-05-19T02:48:49.000Z

Resources/Background/background.py

Gaoyifei1011/AmapProgram

d45a27abf9f508d922f37abc34f00da6d0aab4a0

[ "MIT" ]

1

2021-05-18T16:01:56.000Z

2021-05-20T02:14:52.000Z

Resources/Background/background.py

Gaoyifei1011/AmapProgram

d45a27abf9f508d922f37abc34f00da6d0aab4a0

[ "MIT" ]

1

2021-06-04T06:39:57.000Z

# -*- coding: utf-8 -*- # Resource object code # # Created by: The Resource Compiler for PyQt5 (Qt v5.15.2) # # WARNING! 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\x00\x61\x00\x63\x00\x6b\x00\x67\x00\x72\x00\x6f\x00\x75\x00\x6e\x00\x64\x00\x2e\x00\x6a\x00\x70\x00\x67\ " qt_resource_struct_v1 = b"\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x01\ \x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\ " qt_resource_struct_v2 = b"\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x01\ \x00\x00\x00\x00\x00\x00\x00\x00\ \x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\ \x00\x00\x01\x78\xc1\x63\x8c\x70\ " qt_version = [int(v) for v in QtCore.qVersion().split('.')] if qt_version < [5, 8, 0]: rcc_version = 1 qt_resource_struct = qt_resource_struct_v1 else: rcc_version = 2 qt_resource_struct = qt_resource_struct_v2 def qInitResources(): QtCore.qRegisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data) def qCleanupResources(): QtCore.qUnregisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data) qInitResources()

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Python

proj_1_cv.py

marianlupascu/Automatic-grading-of-multiple-choice-tests

c574d957fdb605dfebad5e00753721b44bdc3ee9

[ "MIT" ]

null

proj_1_cv.py

marianlupascu/Automatic-grading-of-multiple-choice-tests

c574d957fdb605dfebad5e00753721b44bdc3ee9

[ "MIT" ]

null

proj_1_cv.py

marianlupascu/Automatic-grading-of-multiple-choice-tests

c574d957fdb605dfebad5e00753721b44bdc3ee9

[ "MIT" ]

null

# -*- coding: utf-8 -*- """Proj#1-CV.ipynb Automatically generated by Colaboratory. Original file is located at https://colab.research.google.com/drive/1qCUW5rOrcw27liqwla1YaSKlBLw1Fa-V # **Imports** """ #1 #Check CPU and RAM specifications !cat /proc/cpuinfo !cat /proc/meminfo #2 #Check GPU specifications from tensorflow.python.client import device_lib device_lib.list_local_devices() #3 !pip list #4 import torch import torch.nn as nn import torch.optim as optim import numpy as np import torchvision from torchvision import datasets, models, transforms import matplotlib.pyplot as plt import time from google.colab import files, auth, drive import os import glob from shutil import copyfile import cv2 as cv from google.colab.patches import cv2_imshow import math import torch.nn.functional as F #5 CUDA_LAUNCH_BLOCKING=1 plt.ion() use_gpu = torch.cuda.is_available() if use_gpu: print("Using CUDA") else: print("Using CPU") #6 # Mount drive.mount('/content/gdrive', force_remount=True) data_dir_drive ='/content/gdrive/My Drive/Colab Notebooks/CV/Proj1' #change to the project folder on the drive data_dir ='/content' # When read from unziped file #7 # Unzip dataset to /content start = time.time() !unzip -q '/content/gdrive/My Drive/Colab Notebooks/CV/Proj1/data/Project1.zip' -d '/content/gdrive/My Drive/Colab Notebooks/CV/Proj1/data' print('Took', (time.time() - start), ' secundes to unzip') #8 !ls '/content/gdrive/My Drive/Colab Notebooks/CV/Proj1/data' #9 folder_in = data_dir_drive + '/data/images/' folder_scanned_out = data_dir_drive + '/data/additional_data/1.scanned/' folder_rotated_and_perspective_out = data_dir_drive + '/data/additional_data/2.rotated+perspective/' folder_no_annotation_out = data_dir_drive + '/data/additional_data/3.no_annotation/' folder_handwritten_out = data_dir_drive + '/data/additional_data/4.handwritten/' folder_digits = data_dir_drive + '/data/digits/' folder_models = data_dir_drive + '/models/' folder_barem = data_dir_drive + '/data/ground-truth-correct-answers/' input_folder = data_dir_drive + '/input_data/' input_folder_scanned = input_folder + '1.scanned/' input_folder_rotated_and_perspective = input_folder + '2.rotated+perspective/' input_folder_no_annotation = input_folder + '3.no_annotation/' input_folder_handwritten = input_folder + '4.handwritten/' output_folder = data_dir_drive + '/output_data/' #10 def make_additional_data_scanned(): if not os.path.exists(folder_scanned_out): os.makedirs(folder_scanned_out) for f in glob.iglob(folder_scanned_out+ '/*'): os.remove(f) for i in range(1, 151): file = open(folder_in + 'image_' + str(i) +'.txt', 'r') first_line = file.readline() file.close() first_line = first_line.replace('\n', '') info = first_line.split(' ') copyfile(folder_in + 'image_' + str(i) +'.jpg', folder_scanned_out + str(i) + '_scanned_' + info[0] + info[1] +'.jpg') #11 def make_additional_data_rotated_and_perspective(): if not os.path.exists(folder_rotated_and_perspective_out): os.makedirs(folder_rotated_and_perspective_out) for f in glob.iglob(folder_rotated_and_perspective_out + '/*'): os.remove(f) for i in range(1, 151): file = open(folder_in + 'image_' + str(i) +'.txt', 'r') first_line = file.readline() file.close() first_line = first_line.replace('\n', '') info = first_line.split(' ') copyfile(folder_in + 'perspective_' + str(i) +'.jpg', folder_rotated_and_perspective_out + str(i) + '_perspective_' + info[0] + info[1] +'.jpg') for i in range(1, 151): file = open(folder_in + 'image_' + str(i) +'.txt', 'r') first_line = file.readline() file.close() first_line = first_line.replace('\n', '') info = first_line.split(' ') copyfile(folder_in + 'rotation_' + str(i) +'.jpg', folder_rotated_and_perspective_out + str(i) + '_rotated_' + info[0] + info[1] +'.jpg') #12 def make_additional_data_no_annotation(): if not os.path.exists(folder_no_annotation_out): os.makedirs(folder_no_annotation_out) for f in glob.iglob(folder_no_annotation_out + '/*'): os.remove(f) for i in range(1, 151): copyfile(folder_in + 'image_' + str(i) +'.jpg', folder_no_annotation_out + str(i) + '_scanned.jpg') copyfile(folder_in + 'perspective_' + str(i) +'.jpg', folder_no_annotation_out + str(i) + '_perspective.jpg') copyfile(folder_in + 'rotation_' + str(i) +'.jpg', folder_no_annotation_out + str(i) + '_rotated.jpg') #13 def make_additional_handwritten(): pass #14 def make_additional_data(): make_additional_data_scanned() make_additional_data_rotated_and_perspective() make_additional_data_no_annotation() make_additional_handwritten() #make_additional_data() #15 SHOW_INTERMEDIATE_RESULTS = True char_to_index = {'A': 0, 'B': 1, 'C': 2, 'D': 3} index_to_char = {0: 'A', 1: 'B', 2: 'C', 3: 'D'} #16 def print_img(image): if SHOW_INTERMEDIATE_RESULTS: cv2_imshow(cv.resize(image, (0, 0), fx=0.15, fy=0.15)) #17 ground_truth_hw = np.loadtxt(data_dir_drive + '/data/hw_data.txt', dtype=str) ground_truth_hw_dict = {} for [i, nr] in ground_truth_hw: ground_truth_hw_dict[int(i)] = nr print(ground_truth_hw_dict) """# **Scenario 1 (real world)** You receive a test set containing 55 scanned images annotated with the option (F or I) and with the digit (1, 2, 3 or 4). For each image you have to output the corresponding grade. """ #1 def find_rows(grayscale_image): # find the edges on the Y axis # apply Sobel filter on the Y axis edges_y = cv.Sobel(grayscale_image, ddepth = cv.CV_64F, dx = 0, dy = 1) # normalize the output edges_y = np.abs(edges_y) edges_y = edges_y / edges_y.max() # convert to a black and white image _, edges_y_th = cv.threshold(edges_y, 0.4, 255, cv.THRESH_BINARY_INV) # the second param is the threshold #print_img(edges_y_th) # create a mask for black pixels mask = (edges_y_th == 0) * 1 # find the rows from mask all_lines = np.sum(mask, axis = 1) all_lines = all_lines.argsort() num_lines = min(len(all_lines), 150) edges_y_th = np.dstack((edges_y_th, edges_y_th, edges_y_th)) lines = [] # _ x for i in range(num_lines): cv.line(edges_y_th, (0, all_lines[-i]), (grayscale_image.shape[1], all_lines[-i]), (0, 0, 255), 2) lines.append([(0, all_lines[-i]), (grayscale_image.shape[1], all_lines[-i])]) #print_img(edges_y_th) # sort only on y lines.sort(key=lambda coords: coords[0][1]) threshold_same_line = 30 distict_lines = [] distict_lines.append(lines[0]) for line in lines: if line[0][1] - distict_lines[-1][0][1] > threshold_same_line: distict_lines.append(line) # take the last 16 lines correct_lines = distict_lines[-16:] color_image = np.dstack((grayscale_image, grayscale_image, grayscale_image)) for line in correct_lines: cv.line(color_image, line[0], line[1], (255, 0, 0), 5) #print_img(color_image) return correct_lines #2 def find_columns(grayscale_image): # find the edges on the X axis edges_x = cv.Sobel(grayscale_image, ddepth = cv.CV_64F, dx = 1, dy = 0) # normalize the output edges_x = np.abs(edges_x) edges_x = edges_x / edges_x.max() # convert to a black and white image _, edges_x_th = cv.threshold(edges_x, 0.20, 255, cv.THRESH_BINARY_INV) # the second param is the threshold #print_img(edges_x_th) # create a mask for black pixels mask = (edges_x_th == 0) * 1 all_cols = np.sum(mask, axis = 0) all_cols = all_cols.argsort() num_cols = 60 edges_x_th = np.dstack((edges_x_th, edges_x_th, edges_x_th)) cols = [] # _ x for i in range(num_cols): cv.line(edges_x_th, (all_cols[-i], 0), (all_cols[-i], grayscale_image.shape[0]), (0, 0, 255), 2) cols.append([(all_cols[-i], 0), (all_cols[-i], grayscale_image.shape[0])]) #print_img(edges_x_th) # sort only on x0 cols.sort(key=lambda coords: coords[0][0]) threshold_same_column = 30 distinct_cols = [] distinct_cols.append(cols[0]) for col in cols: if col[0][0] - distinct_cols[-1][0][0] > threshold_same_column: distinct_cols.append(col) # take the last 5 cols correct_cols = distinct_cols[-5:] color_image = np.dstack((grayscale_image, grayscale_image, grayscale_image)) for col in correct_cols: cv.line(color_image, col[0], col[1], (255, 0, 0), 5) #print_img(color_image) return correct_cols #3 def find_table(grayscale_image): cols = find_columns(grayscale_image.copy()) rows = find_rows(grayscale_image.copy()) x_min = cols[0][0][0] x_max = cols[-1][1][0] y_min = rows[0][0][1] y_max = rows[-1][1][1] table = grayscale_image[y_min:y_max, x_min:x_max] image = np.dstack((grayscale_image, grayscale_image, grayscale_image)) for i in range(min(5, len(cols))): cv.line(image, cols[i][0], cols[i][1], (255, 0, 0), 5) for i in range(min(16, len(rows))): cv.line(image, rows[i][0], rows[i][1], (0, 0, 255), 5) #print_img(image) #print_img(table) return table, [x_min, y_min, x_max, y_max], cols, rows #4 # write a function that plots the patches containing X with green # and patches containing blanks with red # use here your classifier (test mode) def find_x(grayscale_image, vertical_lines, horizontal_lines): # grayscale_image - input image containing the frame # vertical_lines - list with the vertical lines # horizontal_lines - list with horizontal lines # ground_truth - grounth truth content for a frame mean_x = [] mean_blank = [] image = np.dstack((grayscale_image, grayscale_image, grayscale_image)) x_color = (0, 255, 0) # plot a patch containing an X with green color blank_color = (0, 0, 255) # plot a patch containing a blank with red color result = {} # crop each patch and display it for i in range(len(horizontal_lines) - 1): mean_patches = [] for j in range(len(vertical_lines) - 1): x_min = vertical_lines[j][0][0] + 15 x_max = vertical_lines[j + 1][1][0] - 5 y_min = horizontal_lines[i][0][1] + 15 y_max = horizontal_lines[i + 1][1][1] - 5 # write your code here patch = grayscale_image[y_min:y_max, x_min:x_max] mean_patch = np.round(patch.mean()) mean_patches.append(mean_patch) x_pos_j = np.argmin(mean_patches) for j in range(len(vertical_lines) - 1): x_min = vertical_lines[j][0][0] + 15 x_max = vertical_lines[j + 1][1][0] - 5 y_min = horizontal_lines[i][0][1] + 15 y_max = horizontal_lines[i + 1][1][1] - 5 if j == x_pos_j: color = x_color if i + 1 not in result.keys(): result[i + 1] = [index_to_char[j]] else: result[i + 1].append(index_to_char[j]) else: color = blank_color cv.rectangle(image, (x_min, y_min), (x_max, y_max), color=color, thickness=5) #cv.putText(image, str(mean_patch)[:3] ,(x_min + 10, y_min + 50), cv.FONT_HERSHEY_COMPLEX, 1, (0,0,0), 2) #print_img(image) return result, image #5 # test acc = 0 for i in range(1, 151): image_name = 'image_' + str(i) + '.jpg' print(image_name) # load image image = cv.imread(folder_in + image_name) #print_img(image) # blur the image using a 7 by 7 kernel image = cv.GaussianBlur(image, (7, 7), 0) # take the lower part of the image orig_h, orig_w, _ = image.shape image = image[int(orig_h * 0.41):int(orig_h * 0.88)] # transform the image to grayscale grayscale_image = cv.cvtColor(image, cv.COLOR_BGR2GRAY) left_grayscale_image = grayscale_image[:, :orig_w//2] right_grayscale_image = grayscale_image[:, orig_w//2:] _, _, cols_l, rows_l = find_table(left_grayscale_image) _, _, cols_r, rows_r = find_table(right_grayscale_image) # load ground truth ground_truth_content = np.loadtxt(folder_in + 'image_' + str(i) + '.txt', dtype=str) ground_truth_left = ground_truth_content[1:16] ground_truth_right = ground_truth_content[16:-1] result_l, image_l = find_x(left_grayscale_image, cols_l, rows_l) #print(result_l) result_r, image_r = find_x(right_grayscale_image, cols_r, rows_r) #print(result_r) left_err = 0; for r in range(15): tr_ans = ground_truth_left[r][1] if r + 1 not in result_l.keys(): print("LINIE NECOMPLETATA") left_err += 1 else: if len(result_l[r+1]) > 1: print("PREA MULTE RANDURI COMPLETATE") left_err += 1 else: if result_l[r+1][0] != tr_ans: left_err = left_err + 1 if left_err: print("GRESEALA PE STANGA") print_img(image_l) right_err = 0; for r in range(15): tr_ans = ground_truth_right[r][1] if r + 1 not in result_r.keys(): print("LINIE NECOMPLETATA") right_err += 1 else: if len(result_r[r+1]) > 1: print("PREA MULTE RANDURI COMPLETATE") right_err += 1 else: if result_r[r+1][0] != tr_ans: right_err = right_err + 1 if right_err: print("GRESEALA PE DREAPTA") print_img(image_r) if left_err == 0 and right_err == 0: print("OK") acc = acc + right_err + left_err #6 print('Total greseli = ' + str(acc)) #7 def predict_grade_scenario_1(path, subject, number): image = cv.imread(path) #print_img(image) # blur the image using a 7 by 7 kernel image = cv.GaussianBlur(image, (7, 7), 0) # take the lower part of the image orig_h, orig_w, _ = image.shape image = image[int(orig_h * 0.41):int(orig_h * 0.88)] # transform the image to grayscale grayscale_image = cv.cvtColor(image, cv.COLOR_BGR2GRAY) left_grayscale_image = grayscale_image[:, :orig_w//2] right_grayscale_image = grayscale_image[:, orig_w//2:] _, _, cols_l, rows_l = find_table(left_grayscale_image) _, _, cols_r, rows_r = find_table(right_grayscale_image) number_ok = 0 # load ground truth correct answers / barem if subject == 'F': if number == 1: ground_truth_content = np.loadtxt(folder_barem + 'Fizica_varianta1.txt', dtype=str) elif number == 2: ground_truth_content = np.loadtxt(folder_barem + 'Fizica_varianta2.txt', dtype=str) elif number == 3: ground_truth_content = np.loadtxt(folder_barem + 'Fizica_varianta3.txt', dtype=str) else: ground_truth_content = np.loadtxt(folder_barem + 'Fizica_varianta4.txt', dtype=str) else: if number == 1: ground_truth_content = np.loadtxt(folder_barem + 'Informatica_varianta1.txt', dtype=str) elif number == 2: ground_truth_content = np.loadtxt(folder_barem + 'Informatica_varianta2.txt', dtype=str) elif number == 3: ground_truth_content = np.loadtxt(folder_barem + 'Informatica_varianta3.txt', dtype=str) else: ground_truth_content = np.loadtxt(folder_barem + 'Informatica_varianta4.txt', dtype=str) ground_truth_left = ground_truth_content[1:16] ground_truth_right = ground_truth_content[16:-1] result_l, image_l = find_x(left_grayscale_image, cols_l, rows_l) #print(result_l) result_r, image_r = find_x(right_grayscale_image, cols_r, rows_r) #print(result_r) left_mis = 0; for r in range(15): tr_ans = ground_truth_left[r][1] if r + 1 not in result_l.keys(): left_mis += 1 else: if len(result_l[r+1]) > 1: left_mis += 1 else: if result_l[r+1][0] != tr_ans: left_mis += 1 else: number_ok += 1 right_mis = 0; for r in range(15): tr_ans = ground_truth_right[r][1] if r + 1 not in result_r.keys(): right_mis += 1 else: if len(result_r[r+1]) > 1: right_mis += 1 else: if result_r[r+1][0] != tr_ans: right_mis += 1 else: number_ok += 1 return (number_ok * 3) / 10 + 1 #8 acc = 0 for i in range(1, 151): image_name = 'image_' + str(i) + '.jpg' print(image_name) file = open(folder_in + 'image_' + str(i) +'.txt', 'r') first_line = file.readline() file.close() first_line = first_line.replace('\n', '') info = first_line.split(' ') grade = predict_grade_scenario_1(folder_in + image_name, info[0], int(info[1])) if ground_truth_hw_dict[i] == str(grade): acc += 1 else: print("GRESEALA") print("Acc = " + str(acc * 100 / 150) + " %") """# **Scenario 2 (intermediate)** You receive a test set containing 50 rotated and 50 perspective images annotated with the view (rotated or perspective), the option (F or I) and the digit (1, 2, 3 or 4). For each image you have to output the corresponding grade """ #1 def transform_rotaded_and_perspective_in_scanned(img_path, template_path = data_dir_drive + '/data/template.jpg'): img_template = cv.imread(template_path) (h, w) = img_template.shape[:2] width = 3500 r = width / float(w) dim = (width, int(h * r)) img_template = cv.resize(img_template, dim, interpolation = cv.INTER_AREA) img_query = cv.imread(img_path) img_template = cv.cvtColor(img_template, cv.COLOR_BGR2RGB) img_query = cv.cvtColor(img_query, cv.COLOR_BGR2RGB) # create ORB object orb = cv.ORB_create(nfeatures=15000) # get the keypoints and the corresponding descriptors kp_template, des_template = orb.detectAndCompute(img_template, None) kp_query, des_query = orb.detectAndCompute(img_query, None) # drawing keypoints drawing_img1 = np.copy(img_template) cv.drawKeypoints(img_template, kp_template, drawing_img1, flags=cv.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS) # drawing keypoints drawing_img2 = np.copy(img_query) cv.drawKeypoints(img_query, kp_query, drawing_img2, flags=cv.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS) #plt.figure(figsize=(14, 14)) #plt.subplot(1, 2, 1) #plt.imshow(drawing_img1) #plt.subplot(1, 2, 2) #plt.imshow(drawing_img2) #plt.show() # help here: https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_feature2d/py_matcher/py_matcher.html # https://docs.opencv.org/master/dc/dc3/tutorial_py_matcher.html # create BFMatcher object # matcher takes normType, which is set to cv2.NORM_L2 for SIFT and SURF, cv2.NORM_HAMMING for ORB, FAST and BRIEF bf = cv.BFMatcher(cv.NORM_HAMMING, crossCheck=True) # Match descriptors. matches = bf.match(des_query, des_template) # query_image, train_image # Sort them in the order of their distance. matches = sorted(matches, key = lambda x:x.distance) # Draw first 50 matches. #plt.figure(figsize=(14, 14)) #img3 = cv.drawMatches(img_template, kp_template, img_query, kp_query, matches[:50], None, flags=cv.DrawMatchesFlags_NOT_DRAW_SINGLE_POINTS) #plt.imshow(img3) #plt.show() matches = matches[:int(0.5 * len(matches))] points_template = np.zeros((len(matches), 2)) points_query = np.zeros((len(matches), 2)) for i, match in enumerate(matches): points_template[i, :] = kp_template[match.trainIdx].pt points_query[i, :] = kp_query[match.queryIdx].pt M, _ = cv.findHomography(points_query, points_template, cv.RANSAC, ransacReprojThreshold = 8) # use homography to get the aligned image height, width, _ = img_template.shape # the shape with respect to the template image aligned_image2 = cv.warpPerspective(img_query, M, (width, height), flags=cv.INTER_NEAREST) return aligned_image2 #2 def set_global_cols_and_rows_for_scenario_2(): img_template = cv.imread(data_dir_drive + '/data/template.jpg') (h, w) = img_template.shape[:2] width = 3500 r = width / float(w) dim = (width, int(h * r)) img_template = cv.resize(img_template, dim, interpolation = cv.INTER_AREA) orig_h, orig_w, _ = img_template.shape img_template = img_template[int(orig_h * 0.17):int(orig_h * 0.83)] img_template = img_template[:, int(orig_w * 0.05):int(orig_w * 0.95)] #print_img(image) img_template = cv.GaussianBlur(img_template,(7,7),0) img_template = cv.cvtColor(img_template, cv.COLOR_BGR2GRAY) left_img_template = img_template[:, :orig_w//2] right_img_template = img_template[:, orig_w//2:] _, _, cols_l, rows_l = find_table(left_img_template) _, _, cols_r, rows_r = find_table(right_img_template) return cols_l, rows_l, cols_r, rows_r cols_l, rows_l, cols_r, rows_r = set_global_cols_and_rows_for_scenario_2() #3 # test acc_perspective = 0 for i in range(1, 151): image_name = 'perspective_' + str(i) + '.jpg' print(image_name) # load image try: aligned_image2 = transform_rotaded_and_perspective_in_scanned(folder_in + image_name) #print_img(aligned_image2) # take the lower part of the image orig_h, orig_w, _ = aligned_image2.shape aligned_image2 = aligned_image2[int(orig_h * 0.17):int(orig_h * 0.83)] image = aligned_image2[:, int(orig_w * 0.05):int(orig_w * 0.95)] #print_img(image) img_blur = cv.GaussianBlur(image,(7,7),0) grayscale_image = cv.cvtColor(img_blur, cv.COLOR_BGR2GRAY) th = cv.adaptiveThreshold(grayscale_image,255,cv.ADAPTIVE_THRESH_GAUSSIAN_C, cv.THRESH_BINARY,11,2) left_grayscale_image = th[:, :orig_w//2] right_grayscale_image = th[:, orig_w//2:] # load ground truth ground_truth_content = np.loadtxt(folder_in + 'image_' + str(i) + '.txt', dtype=str) ground_truth_left = ground_truth_content[1:16] ground_truth_right = ground_truth_content[16:-1] result_l, image_l = find_x(left_grayscale_image, cols_l, rows_l) #print(result_l) result_r, image_r = find_x(right_grayscale_image, cols_r, rows_r) #print(result_r) left_err = 0; for r in range(15): tr_ans = ground_truth_left[r][1] if r + 1 not in result_l.keys(): print("LINIE NECOMPLETATA") left_err += 1 else: if len(result_l[r+1]) > 1: print("PREA MULTE RANDURI COMPLETATE") left_err += 1 else: if result_l[r+1][0] != tr_ans: left_err = left_err + 1 if left_err: print("GRESEALA PE STANGA") print_img(image_l) right_err = 0; for r in range(15): tr_ans = ground_truth_right[r][1] if r + 1 not in result_r.keys(): print("LINIE NECOMPLETATA") right_err += 1 else: if len(result_r[r+1]) > 1: print("PREA MULTE RANDURI COMPLETATE") right_err += 1 else: if result_r[r+1][0] != tr_ans: right_err = right_err + 1 if right_err: print("GRESEALA PE DREAPTA") print_img(image_r) if left_err == 0 and right_err == 0: print("OK") acc_perspective = acc_perspective + 1 else: print_img(th) except Exception as e: print(e) print('ACC = ' + str(acc_perspective)) #4 # test classifier acc_rotation = 0 for i in range(1, 151): image_name = 'rotation_' + str(i) + '.jpg' print(image_name) # load image try: aligned_image2 = transform_rotaded_and_perspective_in_scanned(folder_in + image_name) #print_img(aligned_image2) # take the lower part of the image orig_h, orig_w, _ = aligned_image2.shape aligned_image2 = aligned_image2[int(orig_h * 0.17):int(orig_h * 0.83)] image = aligned_image2[:, int(orig_w * 0.05):int(orig_w * 0.95)] #print_img(image) img_blur = cv.GaussianBlur(image,(7,7),0) grayscale_image = cv.cvtColor(img_blur, cv.COLOR_BGR2GRAY) th = cv.adaptiveThreshold(grayscale_image,255,cv.ADAPTIVE_THRESH_GAUSSIAN_C, cv.THRESH_BINARY,11,2) left_grayscale_image = th[:, :orig_w//2] right_grayscale_image = th[:, orig_w//2:] # load ground truth ground_truth_content = np.loadtxt(folder_in + 'image_' + str(i) + '.txt', dtype=str) ground_truth_left = ground_truth_content[1:16] ground_truth_right = ground_truth_content[16:-1] result_l, image_l = find_x(left_grayscale_image, cols_l, rows_l) #print(result_l) result_r, image_r = find_x(right_grayscale_image, cols_r, rows_r) #print(result_r) left_err = 0; for r in range(15): tr_ans = ground_truth_left[r][1] if r + 1 not in result_l.keys(): print("LINIE NECOMPLETATA") left_err += 1 else: if len(result_l[r+1]) > 1: print("PREA MULTE RANDURI COMPLETATE") left_err += 1 else: if result_l[r+1][0] != tr_ans: left_err = left_err + 1 if left_err: print("GRESEALA PE STANGA") print_img(image_l) right_err = 0; for r in range(15): tr_ans = ground_truth_right[r][1] if r + 1 not in result_r.keys(): print("LINIE NECOMPLETATA") right_err += 1 else: if len(result_r[r+1]) > 1: print("PREA MULTE RANDURI COMPLETATE") right_err += 1 else: if result_r[r+1][0] != tr_ans: right_err = right_err + 1 if right_err: print("GRESEALA PE DREAPTA") print_img(image_r) if left_err == 0 and right_err == 0: print("OK") acc_rotation += 1 else: print_img(th) except Exception as e: print(e) print('ACC = ' + str(acc_rotation)) #5 def predict_grade_scenario_2(path, subject, number): cols_l, rows_l, cols_r, rows_r = set_global_cols_and_rows_for_scenario_2() aligned_image2 = transform_rotaded_and_perspective_in_scanned(path) #print_img(aligned_image2) # take the lower part of the image orig_h, orig_w, _ = aligned_image2.shape aligned_image2 = aligned_image2[int(orig_h * 0.17):int(orig_h * 0.83)] image = aligned_image2[:, int(orig_w * 0.05):int(orig_w * 0.95)] #print_img(image) img_blur = cv.GaussianBlur(image,(7,7),0) grayscale_image = cv.cvtColor(img_blur, cv.COLOR_BGR2GRAY) th = cv.adaptiveThreshold(grayscale_image,255,cv.ADAPTIVE_THRESH_GAUSSIAN_C, cv.THRESH_BINARY,11,2) left_grayscale_image = th[:, :orig_w//2] right_grayscale_image = th[:, orig_w//2:] number_ok = 0 # load ground truth correct answers / barem if subject == 'F': if number == 1: ground_truth_content = np.loadtxt(folder_barem + 'Fizica_varianta1.txt', dtype=str) elif number == 2: ground_truth_content = np.loadtxt(folder_barem + 'Fizica_varianta2.txt', dtype=str) elif number == 3: ground_truth_content = np.loadtxt(folder_barem + 'Fizica_varianta3.txt', dtype=str) else: ground_truth_content = np.loadtxt(folder_barem + 'Fizica_varianta4.txt', dtype=str) else: if number == 1: ground_truth_content = np.loadtxt(folder_barem + 'Informatica_varianta1.txt', dtype=str) elif number == 2: ground_truth_content = np.loadtxt(folder_barem + 'Informatica_varianta2.txt', dtype=str) elif number == 3: ground_truth_content = np.loadtxt(folder_barem + 'Informatica_varianta3.txt', dtype=str) else: ground_truth_content = np.loadtxt(folder_barem + 'Informatica_varianta4.txt', dtype=str) ground_truth_left = ground_truth_content[1:16] ground_truth_right = ground_truth_content[16:-1] result_l, image_l = find_x(left_grayscale_image, cols_l, rows_l) #print(result_l) result_r, image_r = find_x(right_grayscale_image, cols_r, rows_r) #print(result_r) left_mis = 0; for r in range(15): tr_ans = ground_truth_left[r][1] if r + 1 not in result_l.keys(): left_mis += 1 else: if len(result_l[r+1]) > 1: left_mis += 1 else: if result_l[r+1][0] != tr_ans: left_mis += 1 else: number_ok += 1 right_mis = 0; for r in range(15): tr_ans = ground_truth_right[r][1] if r + 1 not in result_r.keys(): right_mis += 1 else: if len(result_r[r+1]) > 1: right_mis += 1 else: if result_r[r+1][0] != tr_ans: right_mis += 1 else: number_ok += 1 return (number_ok * 3) / 10 + 1 #6 acc = 0 for i in range(1, 151): image_name = 'perspective_' + str(i) + '.jpg' print(image_name) file = open(folder_in + 'image_' + str(i) +'.txt', 'r') first_line = file.readline() file.close() first_line = first_line.replace('\n', '') info = first_line.split(' ') grade = predict_grade_scenario_2(folder_in + image_name, info[0], int(info[1])) if ground_truth_hw_dict[i] == str(grade): acc += 1 else: print("GRESEALA") print("Acc = " + str(acc * 100 / 150) + " %") #7 acc = 0 for i in range(1, 151): image_name = 'rotation_' + str(i) + '.jpg' print(image_name) file = open(folder_in + 'image_' + str(i) +'.txt', 'r') first_line = file.readline() file.close() first_line = first_line.replace('\n', '') info = first_line.split(' ') grade = predict_grade_scenario_2(folder_in + image_name, info[0], int(info[1])) if ground_truth_hw_dict[i] == str(grade): acc += 1 else: print("GRESEALA") print("Acc = " + str(acc * 100 / 150) + " %") #8 acc = 0 for i in range(1, 151): image_name = 'image_' + str(i) + '.jpg' print(image_name) file = open(folder_in + 'image_' + str(i) +'.txt', 'r') first_line = file.readline() file.close() first_line = first_line.replace('\n', '') info = first_line.split(' ') grade = predict_grade_scenario_2(folder_in + image_name, info[0], int(info[1])) if ground_truth_hw_dict[i] == str(grade): acc += 1 else: print("GRESEALA") print("Acc = " + str(acc * 100 / 150) + " %") """# **Scenario 3 (no annotations)** You receive a test set containing 75 images (scanned, rotated or perspective view). There is no annotation available. For each image you have to output the corresponding grade """ #1 def detect_subject_choice(choice_patch_grayscale, rows, cols): # apply findCountour function in order to extract all the countour in the image # take only the black (ish) pixels mask = np.uint8(choice_patch_grayscale < 50) contours, hierarchy = cv.findContours(mask, cv.RETR_TREE, cv.CHAIN_APPROX_SIMPLE) areas = [] coords = [] if len(contours) != 0: for idx_det in range(len(contours)): contour = contours[idx_det] contour = np.squeeze(contour) if contour.ndim == 1: continue x_min = np.min(contour[:, 0]) x_max = np.max(contour[:, 0]) y_min = np.min(contour[:, 1]) y_max = np.max(contour[:, 1]) areas.append(((x_max - x_min) * (y_max - y_min))) coords.append([(x_min, y_min), (x_max, y_max)]) if len(areas) < 2: return None areas = np.array(areas) indices = areas.argsort() bbox_1 = coords[indices[-1]] bbox_2 = coords[indices[-2]] choice_patch_color = np.dstack((choice_patch_grayscale, choice_patch_grayscale, choice_patch_grayscale)) cv.rectangle(choice_patch_color, bbox_1[0], bbox_1[1], color=(255, 0, 255), thickness=5) cv.rectangle(choice_patch_color, bbox_2[0], bbox_2[1], color=(0, 255, 255), thickness=5) #cv2_imshow(choice_patch_color) return bbox_1, bbox_2 #2 def make_data_set(): if not os.path.exists(folder_digits + '1'): os.makedirs(folder_digits + '1') if not os.path.exists(folder_digits + '2'): os.makedirs(folder_digits + '2') if not os.path.exists(folder_digits + '3'): os.makedirs(folder_digits + '3') if not os.path.exists(folder_digits + '4'): os.makedirs(folder_digits + '4') for f in glob.iglob(folder_digits + '1/*'): os.remove(f) for f in glob.iglob(folder_digits + '2/*'): os.remove(f) for f in glob.iglob(folder_digits + '3/*'): os.remove(f) for f in glob.iglob(folder_digits + '4/*'): os.remove(f) for i in range(1, 151): file = open(folder_in + 'image_' + str(i) +'.txt', 'r') first_line = file.readline() file.close() first_line = first_line.replace('\n', '') info = first_line.split(' ') image_name = 'image_' + str(i) + '.jpg' print(image_name) # load image image = cv.imread(folder_in + image_name) try: #aligned_image2 = transform_rotaded_and_perspective_in_scanned(folder_in + image_name) #print_img(aligned_image2) # take the lower part of the image #orig_h, orig_w, _ = aligned_image2.shape #image = aligned_image2[int(orig_h * 0):int(orig_h * 0.85)] orig_h, orig_w, _ = image.shape image = image[int(orig_h * 0.41):int(orig_h * 0.88)] img_blur = cv.GaussianBlur(image,(7,7),0) grayscale_image = cv.cvtColor(img_blur, cv.COLOR_BGR2GRAY) th = cv.adaptiveThreshold(grayscale_image,255,cv.ADAPTIVE_THRESH_GAUSSIAN_C, cv.THRESH_BINARY,11,2) left_grayscale_image = th[:, :orig_w//2] right_grayscale_image = th[:, orig_w//2:] _, bbox_l, cols_l, rows_l = find_table(left_grayscale_image) _, bbox_r, cols_r, rows_r = find_table(right_grayscale_image) x_min = cols_r[-2][0][0] x_max = cols_r[-1][0][0] y_min = 0 y_max = rows_r[0][1][1] - 2*(rows_r[1][1][1]-rows_r[0][1][1]) patch = grayscale_image[:, orig_w//2:] patch = patch[y_min:y_max, x_min:x_max] bbox_1, bbox_2 = detect_subject_choice(patch, rows_r, cols_r) (x_min_1, y_min_1), (x_max_1, y_max_1) = bbox_1 (x_min_2, y_min_2), (x_max_2, y_max_2) = bbox_2 patch1 = patch[y_min_1 + 10:y_max_1 - 10, x_min_1 + 10:x_max_1 - 10] patch2 = patch[y_min_2 + 10:y_max_2 - 10, x_min_2 + 10:x_max_2 - 10] mean_patch_box_1 = np.round(patch1.mean()) mean_patch_box_2 = np.round(patch2.mean()) choice_patch_color = np.dstack((patch, patch, patch)) if mean_patch_box_1 < mean_patch_box_2: cv.imwrite(folder_digits + info[1] + '/' + str(i) + '.jpg', patch1) cv.rectangle(choice_patch_color, (x_min_1 + 10, y_min_1 + 10), (x_max_1 - 10, y_max_1 - 10), color=(255, 0, 255), thickness=5) else: cv.imwrite(folder_digits + info[1] + '/' + str(i) + '.jpg', patch2) cv.rectangle(choice_patch_color, (x_min_2 + 10, y_min_2 + 10), (x_max_2 - 10, y_max_2 - 10), color=(0, 255, 255), thickness=5) #cv2_imshow(choice_patch_color) #print(info[0]) except Exception as e: print(e) continue #3 make_data_set() #4 # Training settings kwargs={} class Args(): def __init__(self): self.batch_size = 64 self.test_batch_size = 64 self.epochs = 10 self.lr = 0.01 self.momentum = 0.9 self.seed = 1 self.log_interval = int(10000 / self.batch_size) self.cuda = False args = Args() use_cuda = torch.cuda.is_available() torch.manual_seed(args.seed) device = torch.device("cuda" if use_cuda else "cpu") kwargs = {'num_workers': 1, 'pin_memory': True} if use_cuda else {} #5 train_loader = torch.utils.data.DataLoader( datasets.MNIST('../data', train=True, download=True, transform=transforms.Compose([ transforms.ToTensor(), ])), batch_size=args.batch_size, shuffle=True,drop_last=True, **kwargs) test_loader = torch.utils.data.DataLoader( datasets.MNIST('../data', train=False, transform=transforms.Compose([ transforms.ToTensor(), ])), batch_size=args.test_batch_size, shuffle=True,drop_last=True, **kwargs) #6 no_filters1 = 20 no_filter2 = 50 no_neurons1 = 500 class CNN(nn.Module): def __init__(self): super().__init__() self.conv1 = nn.Conv2d(1, no_filters1, 5, 1) self.conv2 = nn.Conv2d(no_filters1, no_filter2, 5, 1) self.fc1 = nn.Linear(4*4*no_filter2, no_neurons1) self.fc2 = nn.Linear(no_neurons1, 10) def forward(self, x): x = F.relu(self.conv1(x)) x = F.max_pool2d(x, 2, 2) x = F.relu(self.conv2(x)) x = F.max_pool2d(x, 2, 2) x = x.view(-1, 4*4*no_filter2) x = F.relu(self.fc1(x)) x = self.fc2(x) return F.log_softmax(x, dim=1) #7 def train(args, model, device, train_loader, optimizer, epoch): model.train() for batch_idx, (data, target) in enumerate(train_loader): data, target = data.to(device), target.to(device) optimizer.zero_grad() output = model(data) loss = F.nll_loss(output, target) loss.backward() optimizer.step() if batch_idx % args.log_interval == 0: print('Train Epoch: {} [{}/{} ({:.0f}%)]\tLoss: {:.6f}'.format( epoch, batch_idx * len(data), len(train_loader.dataset), 100. * batch_idx / len(train_loader), loss.item())) def test(args, model, device, test_loader): model.eval() test_loss = 0 correct = 0 with torch.no_grad(): for data, target in test_loader: data, target = data.to(device), target.to(device) output = model(data) test_loss += F.nll_loss(output, target, reduction='sum').item() # sum up batch loss pred = output.argmax(dim=1, keepdim=True) # get the index of the max log-probability correct += pred.eq(target.view_as(pred)).sum().item() test_loss /= len(test_loader.dataset) print('\nTest set: Average loss: {:.4f}, Accuracy: {}/{} ({:.0f}%)\n'.format( test_loss, correct, len(test_loader.dataset), 100. * correct / len(test_loader.dataset))) #8 model = CNN().to(device) optimizer = optim.SGD(model.parameters(), lr=args.lr, momentum=args.momentum) for epoch in range(1, args.epochs + 1): train(args, model, device, train_loader, optimizer, epoch) test(args, model, device, test_loader) torch.save(model.state_dict(), folder_models + "mnist_cnn.pt") #9 model = CNN().to(device) model.load_state_dict(torch.load(folder_models + "mnist_cnn.pt", map_location=torch.device(device))) #10 total = 0 acc = 0 with torch.no_grad(): for img_name in glob.iglob(folder_digits + '1/*'): total += 1 #print(img_name) img = cv.imread(img_name, cv.IMREAD_GRAYSCALE) #img = img[5:-5, 5:-5] img = cv.GaussianBlur(img, (7, 7), 0) th = cv.adaptiveThreshold(img,255,cv.ADAPTIVE_THRESH_MEAN_C, cv.THRESH_BINARY,7,2) th = cv.bitwise_not(th) th = th [5:-5, 5:-5] th = cv.copyMakeBorder(th, 10, 10, 10, 10, cv.BORDER_CONSTANT, None, 0) #cv2_imshow(th) resized = cv.resize(th, (28, 28), interpolation = cv.INTER_AREA) resized = np.array(resized, dtype = float) data = torch.from_numpy(np.expand_dims(np.expand_dims(resized, 0), 0)) data = data.type(torch.FloatTensor) data = data.to(device) output = model(data) output = output[0].cpu().numpy() output = output[1:5] #print(output) pred = output.argmax() + 1 # get the index of the max log-probability #print(pred) if pred == 1: acc += 1 elif pred == 4 and output[3] - output[0] < 2000: acc += 1 else: cv2_imshow(th) print(pred) print(output) print(acc * 100 / total) #11 total = 0 acc = 0 diffs = [] with torch.no_grad(): for img_name in glob.iglob(folder_digits + '2/*'): total += 1 #print(img_name) img = cv.imread(img_name, cv.IMREAD_GRAYSCALE) #img = img[5:-5, 5:-5] img = cv.GaussianBlur(img, (7, 7), 0) th = cv.adaptiveThreshold(img,255,cv.ADAPTIVE_THRESH_MEAN_C, cv.THRESH_BINARY,7,2) th = cv.bitwise_not(th) th = th [5:-5, 5:-5] th = cv.copyMakeBorder(th, 10, 10, 10, 10, cv.BORDER_CONSTANT, None, 0) #cv2_imshow(th) resized = cv.resize(th, (28, 28), interpolation = cv.INTER_AREA) resized = np.array(resized, dtype = float) data = torch.from_numpy(np.expand_dims(np.expand_dims(resized, 0), 0)) data = data.type(torch.FloatTensor) data = data.to(device) output = model(data) output = output[0].cpu().numpy() output = output[1:5] #print(output) pred = output.argmax() + 1 # get the index of the max log-probability #print(pred) if pred == 2: acc += 1 else: cv2_imshow(th) print(pred) print(output) print(acc * 100 / total) #12 total = 0 acc = 0 with torch.no_grad(): for img_name in glob.iglob(folder_digits + '3/*'): total += 1 #print(img_name) img = cv.imread(img_name, cv.IMREAD_GRAYSCALE) #img = img[5:-5, 5:-5] img = cv.GaussianBlur(img, (7, 7), 0) th = cv.adaptiveThreshold(img,255,cv.ADAPTIVE_THRESH_MEAN_C, cv.THRESH_BINARY,7,2) th = cv.bitwise_not(th) th = th [5:-5, 5:-5] th = cv.copyMakeBorder(th, 10, 10, 10, 10, cv.BORDER_CONSTANT, None, 0) #cv2_imshow(th) resized = cv.resize(th, (28, 28), interpolation = cv.INTER_AREA) resized = np.array(resized, dtype = float) data = torch.from_numpy(np.expand_dims(np.expand_dims(resized, 0), 0)) data = data.type(torch.FloatTensor) data = data.to(device) output = model(data) output = output[0].cpu().numpy() output = output[1:5] #print(output) pred = output.argmax() + 1 # get the index of the max log-probability #print(pred) if pred == 3: acc += 1 else: cv2_imshow(th) print(pred) print(output) print(acc * 100 / total) #13 total = 0 acc = 0 with torch.no_grad(): for img_name in glob.iglob(folder_digits + '4/*'): total += 1 #print(img_name) img = cv.imread(img_name, cv.IMREAD_GRAYSCALE) #img = img[5:-5, 5:-5] img = cv.GaussianBlur(img, (7, 7), 0) th = cv.adaptiveThreshold(img,255,cv.ADAPTIVE_THRESH_MEAN_C, cv.THRESH_BINARY,7,2) th = cv.bitwise_not(th) th = th [5:-5, 5:-5] th = cv.copyMakeBorder(th, 10, 10, 10, 10, cv.BORDER_CONSTANT, None, 0) #cv2_imshow(th) resized = cv.resize(th, (28, 28), interpolation = cv.INTER_AREA) resized = np.array(resized, dtype = float) data = torch.from_numpy(np.expand_dims(np.expand_dims(resized, 0), 0)) data = data.type(torch.FloatTensor) data = data.to(device) output = model(data) output = output[0].cpu().numpy() output = output[1:5] #print(output) pred = output.argmax() + 1 # get the index of the max log-probability #print(pred) if pred == 4 and output[3] - output[0] > 2000: acc += 1 else: cv2_imshow(th) print(pred) print(output) print(acc * 100 / total) #14 def eval_patch(patch): with torch.no_grad(): (h, w) = patch.shape[:2] if h == 0 or w == 0: return None width = 90 r = width / float(w) dim = (width, int(h * r)) patch = cv.resize(patch, dim, interpolation = cv.INTER_AREA) #img = img[5:-5, 5:-5] img = cv.GaussianBlur(patch, (7, 7), 0) th = cv.adaptiveThreshold(img,255,cv.ADAPTIVE_THRESH_MEAN_C, cv.THRESH_BINARY,7,2) th = cv.bitwise_not(th) th = th [5:-5, 5:-5] th = cv.copyMakeBorder(th, 10, 10, 10, 10, cv.BORDER_CONSTANT, None, 0) #cv2_imshow(th) resized = cv.resize(th, (28, 28), interpolation = cv.INTER_AREA) resized = np.array(resized, dtype = float) data = torch.from_numpy(np.expand_dims(np.expand_dims(resized, 0), 0)) data = data.type(torch.FloatTensor) data = data.to(device) output = model(data) output = output[0].cpu().numpy() output = output[1:5] #print(output) pred = output.argmax() + 1 # get the index of the max log-probability #print(pred) if pred == 4 and output[3] - output[0] < 2000: pred = 1 return pred #15 def set_global_cols_and_rows_for_scenario_3(): img_template = cv.imread(data_dir_drive + '/data/template.jpg') (h, w) = img_template.shape[:2] width = 3500 r = width / float(w) dim = (width, int(h * r)) img_template = cv.resize(img_template, dim, interpolation = cv.INTER_AREA) orig_h, orig_w, _ = img_template.shape img_template = img_template[int(orig_h * 0):int(orig_h * 0.83)] img_template = img_template[:, int(orig_w * 0.05):int(orig_w * 0.95)] #print_img(img_template) img_template = cv.GaussianBlur(img_template,(7,7),0) img_template = cv.cvtColor(img_template, cv.COLOR_BGR2GRAY) left_img_template = img_template[:, :orig_w//2] right_img_template = img_template[:, orig_w//2:] _, _, cols_l, rows_l = find_table(left_img_template) _, _, cols_r, rows_r = find_table(right_img_template) return cols_l, rows_l, cols_r, rows_r cols_l, rows_l, cols_r, rows_r = set_global_cols_and_rows_for_scenario_3() #16 def predict_grade_scenario_3(path): cols_l, rows_l, cols_r, rows_r = set_global_cols_and_rows_for_scenario_3() aligned_image2 = transform_rotaded_and_perspective_in_scanned(path) #print_img(aligned_image2) # take the lower part of the image orig_h, orig_w, _ = aligned_image2.shape aligned_image2 = aligned_image2[int(orig_h * 0):int(orig_h * 0.83)] image = aligned_image2[:, int(orig_w * 0.05):int(orig_w * 0.95)] #print_img(image) img_blur = cv.GaussianBlur(image,(7,7),0) grayscale_image = cv.cvtColor(img_blur, cv.COLOR_BGR2GRAY) th = cv.adaptiveThreshold(grayscale_image,255,cv.ADAPTIVE_THRESH_GAUSSIAN_C, cv.THRESH_BINARY,11,2) left_grayscale_image = th[:, :orig_w//2] right_grayscale_image = th[:, orig_w//2:] result_l, image_l = find_x(left_grayscale_image, cols_l, rows_l) #print(result_l) result_r, image_r = find_x(right_grayscale_image, cols_r, rows_r) #print(result_r) x_min = cols_r[-2][0][0] x_max = cols_r[-1][0][0] y_min = 0 y_max = rows_r[0][1][1] - 2*(rows_r[1][1][1]-rows_r[0][1][1]) # 2 randuri in sus patch = grayscale_image[:, orig_w//2:] patch = patch[y_min:y_max, x_min:x_max] #print_img(patch) bbox_1, bbox_2 = detect_subject_choice(patch, rows_r, cols_r) (x_min_1, y_min_1), (x_max_1, y_max_1) = bbox_1 (x_min_2, y_min_2), (x_max_2, y_max_2) = bbox_2 patch1 = patch[y_min_1 + 10:y_max_1 - 10, x_min_1 + 10:x_max_1 - 10] patch2 = patch[y_min_2 + 10:y_max_2 - 10, x_min_2 + 10:x_max_2 - 10] if y_min_1 > y_min_2: patch1, patch2 = patch2, patch1 mean_patch_box_1 = np.round(patch1.mean()) mean_patch_box_2 = np.round(patch2.mean()) subject, number = 0, 0 choice_patch_color = np.dstack((patch, patch, patch)) if mean_patch_box_1 < mean_patch_box_2: #Info subject = 'I' number = eval_patch(patch1) cv.rectangle(choice_patch_color, (x_min_1 + 10, y_min_1 + 10), (x_max_1 - 10, y_max_1 - 10), color=(255, 0, 255), thickness=5) else: #Fizica subject = 'F' number = eval_patch(patch2) cv.rectangle(choice_patch_color, (x_min_2 + 10, y_min_2 + 10), (x_max_2 - 10, y_max_2 - 10), color=(0, 255, 255), thickness=5) #print(subject) #print(number) number_ok = 0 # load ground truth correct answers / barem if subject == 'F': if number == 1: ground_truth_content = np.loadtxt(folder_barem + 'Fizica_varianta1.txt', dtype=str) elif number == 2: ground_truth_content = np.loadtxt(folder_barem + 'Fizica_varianta2.txt', dtype=str) elif number == 3: ground_truth_content = np.loadtxt(folder_barem + 'Fizica_varianta3.txt', dtype=str) else: ground_truth_content = np.loadtxt(folder_barem + 'Fizica_varianta4.txt', dtype=str) else: if number == 1: ground_truth_content = np.loadtxt(folder_barem + 'Informatica_varianta1.txt', dtype=str) elif number == 2: ground_truth_content = np.loadtxt(folder_barem + 'Informatica_varianta2.txt', dtype=str) elif number == 3: ground_truth_content = np.loadtxt(folder_barem + 'Informatica_varianta3.txt', dtype=str) else: ground_truth_content = np.loadtxt(folder_barem + 'Informatica_varianta4.txt', dtype=str) ground_truth_left = ground_truth_content[1:16] ground_truth_right = ground_truth_content[16:-1] left_mis = 0; for r in range(15): tr_ans = ground_truth_left[r][1] if r + 1 not in result_l.keys(): left_mis += 1 else: if len(result_l[r+1]) > 1: left_mis += 1 else: if result_l[r+1][0] != tr_ans: left_mis += 1 else: number_ok += 1 right_mis = 0; for r in range(15): tr_ans = ground_truth_right[r][1] if r + 1 not in result_r.keys(): right_mis += 1 else: if len(result_r[r+1]) > 1: right_mis += 1 else: if result_r[r+1][0] != tr_ans: right_mis += 1 else: number_ok += 1 return (number_ok * 3) / 10 + 1, subject, number, th #17 acc = 0 for i in range(1, 151): image_name = 'image_' + str(i) + '.jpg' print(image_name) file = open(folder_in + 'image_' + str(i) +'.txt', 'r') first_line = file.readline() file.close() first_line = first_line.replace('\n', '') info = first_line.split(' ') try: grade, subject, number, th = predict_grade_scenario_3(folder_in + image_name) if ground_truth_hw_dict[i] == str(grade) and subject == info[0] and number == int(info[1]): acc += 1 else: print("GRESEALA") print( grade ) print( subject ) print( number ) print_img( th ) except Exception as e: print(e) continue print("Acc = " + str(acc * 100 / 150) + " %") #18 acc = 0 for i in range(1, 151): image_name = 'perspective_' + str(i) + '.jpg' print(image_name) file = open(folder_in + 'image_' + str(i) +'.txt', 'r') first_line = file.readline() file.close() first_line = first_line.replace('\n', '') info = first_line.split(' ') try: grade, subject, number, th = predict_grade_scenario_3(folder_in + image_name) if ground_truth_hw_dict[i] == str(grade) and subject == info[0] and number == int(info[1]): acc += 1 else: print("GRESEALA") print( grade ) print( subject ) print( number ) print_img( th ) except Exception as e: print(e) continue print("Acc = " + str(acc * 100 / 150) + " %") #19 acc = 0 for i in range(1, 151): image_name = 'rotation_' + str(i) + '.jpg' print(image_name) file = open(folder_in + 'image_' + str(i) +'.txt', 'r') first_line = file.readline() file.close() first_line = first_line.replace('\n', '') info = first_line.split(' ') grade, subject, number, th = predict_grade_scenario_3(folder_in + image_name) try: grade, subject, number, th = predict_grade_scenario_3(folder_in + image_name) if ground_truth_hw_dict[i] == str(grade) and subject == info[0] and number == int(info[1]): acc += 1 else: print("GRESEALA") print( grade ) print( subject ) print( number ) print_img( th ) except Exception as e: print(e) continue print("Acc = " + str(acc * 100 / 150) + " %") """# **Scenario 4 (handwritten recognition)** Your receive a test set containing 25 scanned images. We will make sure to modify some content such that the grade written in red to be different that the grade obtained by a perfect grading system. For each image you have to output the corresponding handwritten grade. """ #1 hack = {1:[0,3,6,9], 2:[2,5,8], 3:[1,4,7], 4:[0,3,6,9], 5:[2,5,8], 6:[1,4,7], 7:[0,3,6,9], 8:[2,5,8], 9:[1,4,7]} #2 def cut_background(image, proj): w, h = image.shape[::-1] left = 0 ref_sum_img = np.sum(image, axis = 0) ref_sum_img = ref_sum_img //255 in_0_region = False count_in_0_region = 0 line = 0 for line in range(int(len(ref_sum_img) * proj)): if ref_sum_img[line] < 5: if not in_0_region: count_in_0_region = 0 in_0_region = True else: count_in_0_region += 1 else: in_0_region = False if count_in_0_region >= 10: left = line - 1 break if count_in_0_region >= 10: left = line - 1 return image[:, left:] #3 def predict_first_digit(image): w, h = image.shape[::-1] img_model = image[:, :int(0.4 * w)] img_model = cv.copyMakeBorder(img_model, 1, 1, 1, 1, cv.BORDER_CONSTANT, None, 0) w, h = img_model.shape[::-1] if w > h: diff = w - h img_model = cv.copyMakeBorder(img_model, diff // 2, diff - diff//2, 0, 0, cv.BORDER_CONSTANT, None, 0) if w < h: diff = h - w img_model = cv.copyMakeBorder(img_model, 0, 0, diff // 2, diff - diff//2, cv.BORDER_CONSTANT, None, 0) cv2_imshow(img_model) resized = cv.resize(img_model, (28, 28), interpolation = cv.INTER_AREA) resized = np.array(resized, dtype = float) data = torch.from_numpy(np.expand_dims(np.expand_dims(resized, 0), 0)) data = data.type(torch.FloatTensor) data = data.to(device) output = model(data) output = output[0].detach().cpu().numpy() #print(output) output = output[3:] pred = output.argmax() + 3 # get the index of the max log-probability return pred #4 def predict_second_digit(image, pred1): w, h = image.shape[::-1] img_model = image[:, int(0.5 * w):int(0.85 * w)] img_model = cv.copyMakeBorder(img_model, 1, 1, 1, 1, cv.BORDER_CONSTANT, None, 0) w, h = img_model.shape[::-1] if w > h: diff = w - h img_model = cv.copyMakeBorder(img_model, diff // 2, diff - diff//2, 0, 0, cv.BORDER_CONSTANT, None, 0) if w < h: diff = h - w img_model = cv.copyMakeBorder(img_model, 0, 0, diff // 2, diff - diff//2, cv.BORDER_CONSTANT, None, 0) cv2_imshow(img_model) resized = cv.resize(img_model, (28, 28), interpolation = cv.INTER_AREA) resized = np.array(resized, dtype = float) data = torch.from_numpy(np.expand_dims(np.expand_dims(resized, 0), 0)) data = data.type(torch.FloatTensor) data = data.to(device) output = model(data) output = output[0].detach().cpu().numpy() #print(output) #print(hack[pred1]) output2 = output[hack[pred1]] #print(output2) pred = 3 * np.argmax(output2) if pred1 == 3 or pred1 == 6 or pred1 == 9: pred += 1 if pred1 == 2 or pred1 == 5 or pred1 == 8: pred += 2 return pred #5 def make_data_set_handwritten(): if not os.path.exists(folder_digits + 'handwritten'): os.makedirs(folder_digits + 'handwritten') for f in glob.iglob(folder_digits + 'handwritten/*'): os.remove(f) perm = np.random.permutation(range(1, 151)) acc = 0 for i in range(1, 151): file = open(folder_in + 'image_' + str(i) +'.txt', 'r') first_line = file.readline() file.close() first_line = first_line.replace('\n', '') info = first_line.split(' ') image_name = 'image_' + str(i) + '.jpg' print(image_name) # load image image = cv.imread(folder_in + image_name) try: orig_h, orig_w, _ = image.shape image = image[int(orig_h * 0.29):int(orig_h * 0.33)] image = image[:, int(orig_w * 0.08):int(orig_w * 0.29)] orig_h, orig_w, _ = image.shape img = cv.cvtColor(image, cv.COLOR_BGR2GRAY) img = cv.GaussianBlur(img, (11, 11), 0) th = cv.adaptiveThreshold(img,255,cv.ADAPTIVE_THRESH_GAUSSIAN_C, cv.THRESH_BINARY,7,2) th = cv.bitwise_not(th) #cv2_imshow(th) template = cv.imread(data_dir_drive + '/template_matching.JPG',0) w, h = template.shape[::-1] img = th.copy() left_cut_size = int(orig_w * 0.25) right_cut_size = int(orig_w * 0.55) img = img[:, left_cut_size:right_cut_size] method = eval('cv.TM_CCOEFF_NORMED') # Apply template Matching res = cv.matchTemplate(img,template, cv.TM_CCOEFF_NORMED) min_val, max_val, min_loc, max_loc = cv.minMaxLoc(res) top_left = (max_loc[0] + left_cut_size, max_loc[1]) bottom_right = (top_left[0] + w, top_left[1] + h) #cv.rectangle(th,top_left, bottom_right, 255, 2) #cv2_imshow(th) new_th = th[:, :max_loc[0] + left_cut_size] #cv2_imshow(new_th) template = cv.imread(data_dir_drive + '/template_matching2.JPG',0) w, h = template.shape[::-1] img = new_th.copy() method = eval('cv.TM_CCOEFF_NORMED') # Apply template Matching res = cv.matchTemplate(img,template, cv.TM_CCOEFF_NORMED) min_val, max_val, min_loc, max_loc = cv.minMaxLoc(res) top_left = max_loc bottom_right = (top_left[0] + w, top_left[1] + h) #cv.rectangle(new_th,top_left, bottom_right, 255, 2) #cv2_imshow(new_th) new_th = new_th[:top_left[1], :] #cv2_imshow(new_th) new_th = cut_background(new_th, 0.5) new_th = np.transpose(cut_background(np.transpose(new_th), 0.5)) new_th = np.fliplr(cut_background(np.fliplr(new_th), 0.1)) new_th = np.flipud(cut_background(np.flipud(new_th), 0.1)) #cv2_imshow(new_th) pred1 = predict_first_digit(new_th) #print(pred1) pred2 = predict_second_digit(new_th, pred1) #print(pred2) print("RASPUNS = " + str((10 * pred1 + pred2) / 10)) print("TRUE = " + ground_truth_hw_dict[i]) if ground_truth_hw_dict[i] == str((10 * pred1 + pred2) / 10): acc += 1 except Exception as e: print(e) print("ACC = " + str(acc / 150)) make_data_set_handwritten() #6 def predict_grade_scenario_4(path): try: image = cv.imread(path) orig_h, orig_w, _ = image.shape image = image[int(orig_h * 0.29):int(orig_h * 0.33)] image = image[:, int(orig_w * 0.08):int(orig_w * 0.29)] orig_h, orig_w, _ = image.shape img = cv.cvtColor(image, cv.COLOR_BGR2GRAY) img = cv.GaussianBlur(img, (11, 11), 0) th = cv.adaptiveThreshold(img,255,cv.ADAPTIVE_THRESH_GAUSSIAN_C, cv.THRESH_BINARY,7,2) th = cv.bitwise_not(th) #cv2_imshow(th) template = cv.imread(data_dir_drive + '/template_matching.JPG',0) w, h = template.shape[::-1] img = th.copy() left_cut_size = int(orig_w * 0.25) right_cut_size = int(orig_w * 0.55) img = img[:, left_cut_size:right_cut_size] method = eval('cv.TM_CCOEFF_NORMED') # Apply template Matching res = cv.matchTemplate(img,template, cv.TM_CCOEFF_NORMED) min_val, max_val, min_loc, max_loc = cv.minMaxLoc(res) top_left = (max_loc[0] + left_cut_size, max_loc[1]) bottom_right = (top_left[0] + w, top_left[1] + h) #cv.rectangle(th,top_left, bottom_right, 255, 2) #cv2_imshow(th) new_th = th[:, :max_loc[0] + left_cut_size] #cv2_imshow(new_th) template = cv.imread(data_dir_drive + '/template_matching2.JPG',0) w, h = template.shape[::-1] img = new_th.copy() method = eval('cv.TM_CCOEFF_NORMED') # Apply template Matching res = cv.matchTemplate(img,template, cv.TM_CCOEFF_NORMED) min_val, max_val, min_loc, max_loc = cv.minMaxLoc(res) top_left = max_loc bottom_right = (top_left[0] + w, top_left[1] + h) #cv.rectangle(new_th,top_left, bottom_right, 255, 2) #cv2_imshow(new_th) new_th = new_th[:top_left[1], :] #cv2_imshow(new_th) new_th = cut_background(new_th, 0.5) new_th = np.transpose(cut_background(np.transpose(new_th), 0.5)) new_th = np.fliplr(cut_background(np.fliplr(new_th), 0.1)) new_th = np.flipud(cut_background(np.flipud(new_th), 0.1)) #cv2_imshow(new_th) pred1 = predict_first_digit(new_th) #print(pred1) pred2 = predict_second_digit(new_th, pred1) #print(pred2) return (10 * pred1 + pred2) / 10 except Exception as e: print(e) #7 acc = 0 for i in range(1, 151): image_name = 'image_' + str(i) + '.jpg' print(image_name) # load image grade = predict_grade_scenario_4(folder_in + image_name) print("RASPUNS = " + str(grade)) print("TRUE = " + ground_truth_hw_dict[i]) if ground_truth_hw_dict[i] == str(grade): acc += 1 print("ACC = " + str(acc / 150)) """# **Running the entire code**""" #1 def run_scenario_1(): ans = {} for f in glob.iglob(input_folder_scanned + '*.jpg'): aux = f.replace('.jpg', '')[-2:] subject, number = aux[0], int(aux[1]) grade = predict_grade_scenario_1(f, subject, number) ans[f.replace(input_folder_scanned, '')] = grade f = open(output_folder + 'lupascu_marian_407_task1.txt', 'w') for k, v in ans.items(): f.write("%s\t%2.2f\n" % (k, v)) f.close() #2 def run_scenario_2(): ans = {} for f in glob.iglob(input_folder_rotated_and_perspective + '*.jpg'): aux = f.replace('.jpg', '')[-2:] subject, number = aux[0], int(aux[1]) grade = predict_grade_scenario_2(f, subject, number) ans[f.replace(input_folder_rotated_and_perspective, '')] = grade f = open(output_folder + 'lupascu_marian_407_task2.txt', 'w') for k, v in ans.items(): f.write("%s\t%2.2f\n" % (k, v)) f.close() #3 def run_scenario_3(): ans = {} for f in glob.iglob(input_folder_no_annotation + '*.jpg'): grade, _, _, _ = predict_grade_scenario_3(f) ans[f.replace(input_folder_no_annotation, '')] = grade f = open(output_folder + 'lupascu_marian_407_task3.txt', 'w') for k, v in ans.items(): f.write("%s\t%2.2f\n" % (k, v)) f.close() #4 def run_scenario_4(): ans = {} for f in glob.iglob(input_folder_handwritten + '*.jpg'): grade = predict_grade_scenario_4(f) ans[f.replace(input_folder_handwritten, '')] = grade f = open(output_folder + 'lupascu_marian_407_task4.txt', 'w') for k, v in ans.items(): f.write("%s\t%2.2f\n" % (k, v)) f.close() #5 def run(): for f in glob.iglob(output_folder + '*'): os.remove(f) run_scenario_1() run_scenario_2() run_scenario_3() run_scenario_4() #6 run() #7 run_scenario_1() #8 run_scenario_2() #9 run_scenario_3() #10 run_scenario_4()

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null

0

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0188c7c18851a8d89c0c3929fce9ddb47895e4d8

182

py

Python

option1/match/candidates/admin.py

FOH-BOH/engineering-assessment-full-stack

c239ca4ccb4a18a41692f503f17098b033688c99

[ "Apache-2.0" ]

null

option1/match/candidates/admin.py

FOH-BOH/engineering-assessment-full-stack

c239ca4ccb4a18a41692f503f17098b033688c99

[ "Apache-2.0" ]

null

option1/match/candidates/admin.py

FOH-BOH/engineering-assessment-full-stack

c239ca4ccb4a18a41692f503f17098b033688c99

[ "Apache-2.0" ]

null

from django.contrib import admin from .models import Candidate @admin.register(Candidate) class CandidateAdmin(admin.ModelAdmin): list_display = ('name', 'city', 'positions',)

22.75

49

0.758242

21

182

6.52381

0.761905

0

0.120879

182

8

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null

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4

6d748d047aa68c5492497d1e38a1c0d6ba06f892

297

py

Python

nari/types/event/partylist.py

lunarrize/nari

9fbd9fa1b3f44f9c934131a9cfa780dff31e824d

[ "MIT" ]

9

2021-03-15T03:18:09.000Z

2022-03-28T23:44:32.000Z

nari/types/event/partylist.py

lunarrize/nari

9fbd9fa1b3f44f9c934131a9cfa780dff31e824d

[ "MIT" ]

23

2021-02-11T16:05:44.000Z

2022-02-20T07:18:53.000Z

nari/types/event/partylist.py

lunarrize/nari

9fbd9fa1b3f44f9c934131a9cfa780dff31e824d

[ "MIT" ]

4

2021-02-11T07:30:21.000Z

2022-02-07T03:51:57.000Z

"""This event fires when the party list changes""" from nari.types.event.base import Event from nari.types.event import Type class PartyList(Event): """List of members in the party""" __id__ = Type.partylist.value def __repr__(self): return f'<Partylist ({self.params[0]})>'

27

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0.181818

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null

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1

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6d75cc909ec9de91050e0fb63bfb406c827a268a

493

py

Python

pref/webapp/templatetags/webapp_extras.py

ahampt/Pref

6a6b44c751da4358d97c7f170237b8fc0a4bc3d0

[ "MIT" ]

null

pref/webapp/templatetags/webapp_extras.py

ahampt/Pref

6a6b44c751da4358d97c7f170237b8fc0a4bc3d0

[ "MIT" ]

7

2015-08-02T20:58:23.000Z

2016-05-02T03:25:21.000Z

pref/webapp/templatetags/webapp_extras.py

ahampt/Pref

6a6b44c751da4358d97c7f170237b8fc0a4bc3d0

[ "MIT" ]

null

from django import template import math import urllib register = template.Library() @register.filter def multiply(value, arg): return int(value) * int(arg) @register.filter def divide_rounding_up(value, arg): return int(math.ceil(float(value) / float(arg))) @register.filter def get_range(value): return range(value) @register.filter def get_item(i, arr): try: return arr[i] except: return '' @register.filter def urlencode(value): return value[:5] + urllib.quote(value[5:])

17.607143

49

0.732252

72

493

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0.416667

0.196078

0.238095

0.095238

0

0.004695

0.135903

493

28

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0.181818

0.636364

0

null

0

1

0

null

0

1

0

1

0

4

6d8644d43e963f1b38245559afa1dc2ccd6e0090

82

py

Python

IMDB/apps.py

MrRobot100/api-Auth

e6d5aba3e100f92ed3b48251ec8567c23ad8224d

[ "MIT" ]

1

2020-06-09T14:04:10.000Z

IMDB/apps.py

MrRobot100/api-Auth

e6d5aba3e100f92ed3b48251ec8567c23ad8224d

[ "MIT" ]

8

2019-11-24T08:49:08.000Z

2021-09-22T18:20:44.000Z

IMDB/apps.py

ParserKnight/DjangoRest-api-Auth

e6d5aba3e100f92ed3b48251ec8567c23ad8224d

[ "MIT" ]

null

from django.apps import AppConfig class ImdbConfig(AppConfig): name = 'IMDB'

16.4

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82

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1

0

null

0

1

0

1

0

4

6d86f468231ffdeb8e0811b51296e715daa99257

31,258

py

Python

main.py

Bhavishrg/notakto

e6ec82cbe3d4a8dcea4620354870073fbf39eb80

[ "Apache-2.0" ]

null

main.py

Bhavishrg/notakto

e6ec82cbe3d4a8dcea4620354870073fbf39eb80

[ "Apache-2.0" ]

null

main.py

Bhavishrg/notakto

e6ec82cbe3d4a8dcea4620354870073fbf39eb80

[ "Apache-2.0" ]

null

import pygame import sys import webbrowser from pygame import mixer #initialize pygame.init() #creating the screen screen = pygame.display.set_mode((800,600)) #font font = pygame.font.Font("fonts\chalk.ttf", 72) #title,icon and background pygame.display.set_caption('''Misere's Tic Tac Toe''') icon = pygame.image.load('icon.png') pygame.display.set_icon(icon) background_image = pygame.image.load("background.jpg").convert() background_image = pygame.transform.scale(background_image , (800, 600)) help_image = pygame.image.load("help.jpg").convert() help_image = pygame.transform.scale(help_image , (800, 600)) speakeron = pygame.image.load("speakeron.png") speakeron = pygame.transform.scale(speakeron , (30, 30)) speakeroff = pygame.image.load("speakeroff.png") speakeroff = pygame.transform.scale(speakeroff , (20, 30)) speaker = 1 mixer.music.load('chalksound.mp3') #text def draw_text(text, font, color, surface, x, y): textobj = font.render(text, 1, color) textrect = textobj.get_rect() textrect.center = (x, y) surface.blit(textobj, textrect) def draw_text2(text, font, color, surface, x, y): textobj = font.render(text, 1, color) textrect = textobj.get_rect() textrect.topleft = (x, y) surface.blit(textobj, textrect) #draw a line def draw_line_animate(surface, color, x1,y1, x2,y2, width): x = int(x1) y = int(y1) val = True while val: pygame.draw.line(surface, color, (int(x1),int(y1)),(x,y), int(width)) if x != int(x2): x += 0.5 if y!= int(y2): y += 0.5 if x == x2 and y == y2: val = False pygame.display.update() pygame.time.Clock().tick(50000) def game_initialize(): screen.blit(background_image, (0, 0)) draw_line_animate(screen, (255,255,255), 217,75, 217,275, 5) draw_line_animate(screen, (255,255,255), 284,75, 284,275, 5) draw_line_animate(screen, (255,255,255), 150,142, 350,142, 5) draw_line_animate(screen, (255,255,255), 150,209, 350,209, 5) draw_line_animate(screen, (255,255,255), 517,75, 517,275, 5) draw_line_animate(screen, (255,255,255), 584,75, 584,275, 5) draw_line_animate(screen, (255,255,255), 450,142, 650,142, 5) draw_line_animate(screen, (255,255,255), 450,209, 650,209, 5) draw_line_animate(screen, (255,255,255), 367,325, 367,525, 5) draw_line_animate(screen, (255,255,255), 434,325, 434,525, 5) draw_line_animate(screen, (255,255,255), 300,392, 500,392, 5) draw_line_animate(screen, (255,255,255), 300,459, 500,459, 5) game() def strike_check(board): for row in board: for tile in row: if tile == 1: continue else: break else: return True for column in range(3): for row in board: if row[column] == 1: continue else: break else: return True for tile in range(3): if board[tile][tile] == 1: continue else: break else: return True for tile in range(3): if board[tile][2-tile] == 1: continue else: break else: return True def game(): global speaker running = True b1=[[0,0,0],[0,0,0],[0,0,0]] b2=[[0,0,0],[0,0,0],[0,0,0]] b3=[[0,0,0],[0,0,0],[0,0,0]] strike = [0, 0, 0] boards=[b1, b2, b3] screen.blit(background_image, (0, 0)) pygame.draw.line(screen, (255,255,255), (217,75), (217,275), 5) pygame.draw.line(screen, (255,255,255), (284,75), (284,275), 5) pygame.draw.line(screen, (255,255,255), (517,75), (517,275), 5) pygame.draw.line(screen, (255,255,255), (584,75), (584,275), 5) pygame.draw.line(screen, (255,255,255), (367,325), (367,525), 5) pygame.draw.line(screen, (255,255,255), (434,325), (434,525), 5) pygame.draw.line(screen, (255,255,255), (150,142), (350,142), 5) pygame.draw.line(screen, (255,255,255), (150,209), (350,209), 5) pygame.draw.line(screen, (255,255,255), (450,142), (650,142), 5) pygame.draw.line(screen, (255,255,255), (450,209), (650,209), 5) pygame.draw.line(screen, (255,255,255), (300,392), (500,392), 5) pygame.draw.line(screen, (255,255,255), (300,459), (500,459), 5) b1b1 = pygame.Rect(170, 80, 50, 50) b1b2 = pygame.Rect(237, 80, 50, 50) b1b3 = pygame.Rect(304, 80, 50, 50) b1b4 = pygame.Rect(170, 147, 50, 50) b1b5 = pygame.Rect(237, 147, 50, 50) b1b6 = pygame.Rect(304, 147, 50, 50) b1b7 = pygame.Rect(170, 214, 50, 50) b1b8 = pygame.Rect(237, 214, 50, 50) b1b9 = pygame.Rect(304, 214, 50, 50) b2b1 = pygame.Rect(470, 80, 50, 50) b2b2 = pygame.Rect(537, 80, 50, 50) b2b3 = pygame.Rect(604, 80, 50, 50) b2b4 = pygame.Rect(470, 137, 50, 50) b2b5 = pygame.Rect(537, 137, 50, 50) b2b6 = pygame.Rect(604, 137, 50, 50) b2b7 = pygame.Rect(470, 214, 50, 50) b2b8 = pygame.Rect(537, 214, 50, 50) b2b9 = pygame.Rect(604, 214, 50, 50) b3b1 = pygame.Rect(320, 330, 50, 50) b3b2 = pygame.Rect(387, 330, 50, 50) b3b3 = pygame.Rect(454, 330, 50, 50) b3b4 = pygame.Rect(320, 397, 50, 50) b3b5 = pygame.Rect(387, 397, 50, 50) b3b6 = pygame.Rect(454, 397, 50, 50) b3b7 = pygame.Rect(320, 464, 50, 50) b3b8 = pygame.Rect(387, 464, 50, 50) b3b9 = pygame.Rect(454, 464, 50, 50) p = 1 while running: for event in pygame.event.get(): if event.type == pygame.QUIT: pygame.quit() sys.exit() if event.type == pygame.KEYDOWN: if event.key == pygame.K_ESCAPE: main_menu() if event.type == pygame.MOUSEBUTTONDOWN: if event.button == 1: mx, my = pygame.mouse.get_pos() if b1b1.collidepoint((mx, my)) and b1[0][0] == 0 and strike[0] == 0: if speaker == 1:mixer.music.play() draw_text2('x', pygame.font.Font(r'fonts\rd.ttf', 50), (255, 255, 255), screen, 170, 80) b1[0][0] = 1 if strike_check(b1): strike[0] = 1 pygame.draw.line(screen, (255, 0, 0), (150,75), (350,275), 5) pygame.draw.line(screen, (255, 0, 0), (150,275), (350,75), 5) if strike == [1, 1, 1]: pygame.display.update() game_over() if b1b2.collidepoint((mx, my)) and b1[0][1] == 0 and strike[0] == 0: if speaker == 1:mixer.music.play() draw_text2('x', pygame.font.Font(r'fonts\rd.ttf', 50), (255, 255, 255), screen, 237, 80) b1[0][1]= 1 if strike_check(b1): strike[0] = 1 pygame.draw.line(screen, (255, 0, 0), (150,75), (350,275), 5) pygame.draw.line(screen, (255, 0, 0), (150,275), (350,75), 5) if strike == [1, 1, 1]: pygame.display.update() game_over() if b1b3.collidepoint((mx, my)) and b1[0][2] == 0 and strike[0] == 0: if speaker == 1:mixer.music.play() draw_text2('x', pygame.font.Font(r'fonts\rd.ttf', 50), (255, 255, 255), screen, 304, 80) b1[0][2] = 1 if strike_check(b1): strike[0] = 1 pygame.draw.line(screen, (255, 0, 0), (150,75), (350,275), 5) pygame.draw.line(screen, (255, 0, 0), (150,275), (350,75), 5) if strike == [1, 1, 1]: pygame.display.update() game_over() if b1b4.collidepoint((mx, my)) and b1[1][0] == 0 and strike[0] == 0: if speaker == 1:mixer.music.play() draw_text2('x', pygame.font.Font(r'fonts\rd.ttf', 50), (255, 255, 255), screen, 170, 147) b1[1][0] = 1 if strike_check(b1): strike[0] = 1 pygame.draw.line(screen, (255, 0, 0), (150,75), (350,275), 5) pygame.draw.line(screen, (255, 0, 0), (150,275), (350,75), 5) if strike == [1, 1, 1]: pygame.display.update() game_over() if b1b5.collidepoint((mx, my)) and b1[1][1] == 0 and strike[0] == 0: if speaker == 1:mixer.music.play() draw_text2('x', pygame.font.Font(r'fonts\rd.ttf', 50), (255, 255, 255), screen, 237, 147) b1[1][1] = 1 if strike_check(b1): strike[0] = 1 pygame.draw.line(screen, (255, 0, 0), (150,75), (350,275), 5) pygame.draw.line(screen, (255, 0, 0), (150,275), (350,75), 5) if strike == [1, 1, 1]: pygame.display.update() game_over() if b1b6.collidepoint((mx, my)) and b1[1][2] == 0 and strike[0] == 0: if speaker == 1:mixer.music.play() draw_text2('x', pygame.font.Font(r'fonts\rd.ttf', 50), (255, 255, 255), screen, 304, 147) b1[1][2] = 1 if strike_check(b1): strike[0] = 1 pygame.draw.line(screen, (255, 0, 0), (150,75), (350,275), 5) pygame.draw.line(screen, (255, 0, 0), (150,275), (350,75), 5) if strike == [1, 1, 1]: pygame.display.update() game_over() if b1b7.collidepoint((mx, my)) and b1[2][0] == 0 and strike[0] == 0: if speaker == 1:mixer.music.play() draw_text2('x', pygame.font.Font(r'fonts\rd.ttf', 50), (255, 255, 255), screen, 170, 214) b1[2][0] = 1 if strike_check(b1): strike[0] = 1 pygame.draw.line(screen, (255, 0, 0), (150,75), (350,275), 5) pygame.draw.line(screen, (255, 0, 0), (150,275), (350,75), 5) if strike == [1, 1, 1]: pygame.display.update() game_over() if b1b8.collidepoint((mx, my)) and b1[2][1] == 0 and strike[0] == 0: draw_text2('x', pygame.font.Font(r'fonts\rd.ttf', 50), (255, 255, 255), screen, 237, 214) if speaker == 1:mixer.music.play() b1[2][1] = 1 if strike_check(b1): strike[0] = 1 pygame.draw.line(screen, (255, 0, 0), (150,75), (350,275), 5) pygame.draw.line(screen, (255, 0, 0), (150,275), (350,75), 5) if strike == [1, 1, 1]: pygame.display.update() game_over() if b1b9.collidepoint((mx, my)) and b1[2][2] == 0 and strike[0] == 0: if speaker == 1:mixer.music.play() draw_text2('x', pygame.font.Font(r'fonts\rd.ttf', 50), (255, 255, 255), screen, 304, 214) b1[2][2] = 1 if strike_check(b1): strike[0] = 1 pygame.draw.line(screen, (255, 0, 0), (150,75), (350,275), 5) pygame.draw.line(screen, (255, 0, 0), (150,275), (350,75), 5) pygame.display.update() if strike == [1, 1, 1]: game_over() if b2b1.collidepoint((mx, my)) and b2[0][0] == 0 and strike[1] == 0: if speaker == 1:mixer.music.play() draw_text2('x', pygame.font.Font(r'fonts\rd.ttf', 50), (255, 255, 255), screen, 470, 80) b2[0][0] = 1 if strike_check(b2): strike[1] = 1 pygame.draw.line(screen, (255, 0, 0), (450,75), (650,275), 5) pygame.draw.line(screen, (255, 0, 0), (650,75), (450,275), 5) if strike == [1, 1, 1]: pygame.display.update() game_over() if b2b2.collidepoint((mx, my)) and b2[0][1] == 0 and strike[1] == 0: if speaker == 1:mixer.music.play() draw_text2('x', pygame.font.Font(r'fonts\rd.ttf', 50), (255, 255, 255), screen, 537, 80) b2[0][1] = 1 if strike_check(b2): strike[1] = 1 pygame.draw.line(screen, (255, 0, 0), (450,75), (650,275), 5) pygame.draw.line(screen, (255, 0, 0), (650,75), (450,275), 5) if strike == [1, 1, 1]: game_over() if b2b3.collidepoint((mx, my)) and b2[0][2] == 0 and strike[1] == 0: if speaker == 1:mixer.music.play() draw_text2('x', pygame.font.Font(r'fonts\rd.ttf', 50), (255, 255, 255), screen, 604, 80) b2[0][2] = 1 if strike_check(b2): strike[1] = 1 pygame.draw.line(screen, (255, 0, 0), (450,75), (650,275), 5) pygame.draw.line(screen, (255, 0, 0), (650,75), (450,275), 5) if strike == [1, 1, 1]: pygame.display.update() game_over() if b2b4.collidepoint((mx, my)) and b2[1][0] == 0 and strike[1] == 0: if speaker == 1:mixer.music.play() draw_text2('x', pygame.font.Font(r'fonts\rd.ttf', 50), (255, 255, 255), screen, 470, 147) b2[1][0] = 1 if strike_check(b2): strike[1] = 1 pygame.draw.line(screen, (255, 0, 0), (450,75), (650,275), 5) pygame.draw.line(screen, (255, 0, 0), (650,75), (450,275), 5) if strike == [1, 1, 1]: pygame.display.update() game_over() if b2b5.collidepoint((mx, my)) and b2[1][1] == 0 and strike[1] == 0: if speaker == 1:mixer.music.play() draw_text2('x', pygame.font.Font(r'fonts\rd.ttf', 50), (255, 255, 255), screen, 537, 147) b2[1][1] = 1 if strike_check(b2): strike[1] = 1 pygame.draw.line(screen, (255, 0, 0), (450,75), (650,275), 5) pygame.draw.line(screen, (255, 0, 0), (650,75), (450,275), 5) if strike == [1, 1, 1]: pygame.display.update() game_over() if b2b6.collidepoint((mx, my)) and b2[1][2] == 0 and strike[1] == 0: if speaker == 1:mixer.music.play() draw_text2('x', pygame.font.Font(r'fonts\rd.ttf', 50), (255, 255, 255), screen, 604, 147) b2[1][2] = 1 if strike_check(b2): strike[1] = 1 pygame.draw.line(screen, (255, 0, 0), (450,75), (650,275), 5) pygame.draw.line(screen, (255, 0, 0), (650,75), (450,275), 5) pygame.display.update() if strike == [1, 1, 1]: game_over() if b2b7.collidepoint((mx, my)) and b2[2][0] == 0 and strike[1] == 0: if speaker == 1:mixer.music.play() draw_text2('x', pygame.font.Font(r'fonts\rd.ttf', 50), (255, 255, 255), screen, 470, 214) b2[2][0] = 1 if strike_check(b2): strike[1] = 1 pygame.draw.line(screen, (255, 0, 0), (450,75), (650,275), 5) pygame.draw.line(screen, (255, 0, 0), (650,75), (450,275), 5) if strike == [1, 1, 1]: pygame.display.update() game_over() if b2b8.collidepoint((mx, my)) and b2[2][1] == 0 and strike[1] == 0: if speaker == 1:mixer.music.play() draw_text2('x', pygame.font.Font(r'fonts\rd.ttf', 50), (255, 255, 255), screen, 537, 214) b2[2][1] = 1 if strike_check(b2): strike[1] = 1 pygame.draw.line(screen, (255, 0, 0), (450,75), (650,275), 5) pygame.draw.line(screen, (255, 0, 0), (650,75), (450,275), 5) if strike == [1, 1, 1]: pygame.display.update() game_over() if b2b9.collidepoint((mx, my)) and b2[2][2] == 0 and strike[1] == 0: if speaker == 1:mixer.music.play() draw_text2('x', pygame.font.Font(r'fonts\rd.ttf', 50), (255, 255, 255), screen, 604, 214) b2[2][2] = 1 if strike_check(b2) and strike[1] == 0: strike[1] = 1 pygame.draw.line(screen, (255, 0, 0), (450,75), (650,275), 5) pygame.draw.line(screen, (255, 0, 0), (650,75), (450,275), 5) if strike == [1, 1, 1]: pygame.display.update() game_over() if b3b1.collidepoint((mx, my)) and b3[0][0] == 0 and strike[2] == 0: if speaker == 1:mixer.music.play() draw_text2('x', pygame.font.Font(r'fonts\rd.ttf', 50), (255, 255, 255), screen, 320, 330) b3[0][0] = 1 if strike_check(b3): strike[2] = 1 pygame.draw.line(screen, (255, 0, 0), (300,325), (500,525), 5) pygame.draw.line(screen, (255, 0, 0), (300,525), (500,325), 5) if strike == [1, 1, 1]: pygame.display.update() game_over() if b3b2.collidepoint((mx, my)) and b3[0][1] == 0 and strike[2] == 0: if speaker == 1:mixer.music.play() draw_text2('x', pygame.font.Font(r'fonts\rd.ttf', 50), (255, 255, 255), screen, 387, 330) b3[0][1] = 1 if strike_check(b3): strike[2] = 1 pygame.draw.line(screen, (255, 0, 0), (300,325), (500,525), 5) pygame.draw.line(screen, (255, 0, 0), (300,525), (500,325), 5) if strike == [1, 1, 1]: pygame.display.update() game_over() if b3b3.collidepoint((mx, my)) and b3[0][2] == 0 and strike[2] == 0: if speaker == 1:mixer.music.play() draw_text2('x', pygame.font.Font(r'fonts\rd.ttf', 50), (255, 255, 255), screen, 454, 330) b3[0][2] = 1 if strike_check(b3): strike[2] = 1 pygame.draw.line(screen, (255, 0, 0), (300,325), (500,525), 5) pygame.draw.line(screen, (255, 0, 0), (300,525), (500,325), 5) if strike == [1, 1, 1]: pygame.display.update() game_over() if b3b4.collidepoint((mx, my)) and b3[1][0] == 0 and strike[2] == 0: if speaker == 1:mixer.music.play() draw_text2('x', pygame.font.Font(r'fonts\rd.ttf', 50), (255, 255, 255), screen, 320, 397) b3[1][0] = 1 if strike_check(b3): strike[2] = 1 pygame.draw.line(screen, (255, 0, 0), (300,325), (500,525), 5) pygame.draw.line(screen, (255, 0, 0), (300,525), (500,325), 5) if strike == [1, 1, 1]: pygame.display.update() game_over() if b3b5.collidepoint((mx, my)) and b3[1][1] == 0 and strike[2] == 0: if speaker == 1:mixer.music.play() draw_text2('x', pygame.font.Font(r'fonts\rd.ttf', 50), (255, 255, 255), screen, 387, 397) b3[1][1] = 1 if strike_check(b3): strike[2] = 1 pygame.draw.line(screen, (255, 0, 0), (300,325), (500,525), 5) pygame.draw.line(screen, (255, 0, 0), (300,525), (500,325), 5) if strike == [1, 1, 1]: pygame.display.update() game_over() if b3b6.collidepoint((mx, my)) and b3[1][2] == 0 and strike[2] == 0: if speaker == 1:mixer.music.play() draw_text2('x', pygame.font.Font(r'fonts\rd.ttf', 50), (255, 255, 255), screen, 454, 397) b3[1][2] = 1 if strike_check(b3): strike[2] = 1 pygame.draw.line(screen, (255, 0, 0), (300,325), (500,525), 5) pygame.draw.line(screen, (255, 0, 0), (300,525), (500,325), 5) if strike == [1, 1, 1]: pygame.display.update() game_over() if b3b7.collidepoint((mx, my)) and b3[2][0] == 0 and strike[2] == 0: if speaker == 1:mixer.music.play() draw_text2('x', pygame.font.Font(r'fonts\rd.ttf', 50), (255, 255, 255), screen, 320, 464) b3[2][0] = 1 if strike_check(b3): strike[2] = 1 pygame.draw.line(screen, (255, 0, 0), (300,325), (500,525), 5) pygame.draw.line(screen, (255, 0, 0), (300,525), (500,325), 5) if strike == [1, 1, 1]: pygame.display.update() game_over() if b3b8.collidepoint((mx, my)) and b3[2][1] == 0 and strike[2] == 0: if speaker == 1:mixer.music.play() draw_text2('x', pygame.font.Font(r'fonts\rd.ttf', 50), (255, 255, 255), screen, 387, 464) b3[2][1] = 1 if strike_check(b3): strike[2] = 1 pygame.draw.line(screen, (255, 0, 0), (300,325), (500,525), 5) pygame.draw.line(screen, (255, 0, 0), (300,525), (500,325), 5) if strike == [1, 1, 1]: pygame.display.update() game_over() if b3b9.collidepoint((mx, my)) and b3[2][2] == 0 and strike[2] == 0: if speaker == 1:mixer.music.play() draw_text2('x', pygame.font.Font(r'fonts\rd.ttf', 50), (255, 255, 255), screen, 454, 464) b3[2][2] = 1 if strike_check(b3): strike[2] = 1 pygame.draw.line(screen, (255, 0, 0), (300,325), (500,525), 5) pygame.draw.line(screen, (255, 0, 0), (300,525), (500,325), 5) if strike == [1, 1, 1]: pygame.display.update() game_over() pygame.display.update() def game_over(): pygame.time.wait(5000) global speaker running = True screen.blit(background_image, (0, 0)) draw_text('Game over', pygame.font.Font(r'fonts\chalk.ttf', 70), (255, 255, 255), screen, 400, 300) draw_text('click to continue', pygame.font.Font('fonts\chalk.ttf', 30), (255, 255, 255), screen, 400, 350) while running: for event in pygame.event.get(): if event.type == pygame.QUIT: pygame.quit() sys.exit() if event.type == pygame.KEYDOWN: if event.key == pygame.K_ESCAPE: running = False if event.type == pygame.MOUSEBUTTONDOWN: if speaker == 1:mixer.music.play() if event.button == 1: main_menu() pygame.display.update() def main_menu(): global speaker click = False while True: mx, my = pygame.mouse.get_pos() screen.blit(background_image, (0, 0)) button_1 = pygame.Rect(300, 50, 200, 100) draw_text('Two Player', pygame.font.Font('fonts\chalk.ttf', 50), (255, 255, 255), screen, 400, 100) button_2 = pygame.Rect(300, 150, 200, 100) draw_text('Single Player', pygame.font.Font('fonts\chalk.ttf', 50), (255, 255, 255), screen, 400, 200) button_3 = pygame.Rect(300, 250, 200, 100) draw_text('Play Online', pygame.font.Font('fonts\chalk.ttf', 50), (255, 255, 255), screen, 400, 300) button_4 = pygame.Rect(300, 350, 200, 100) draw_text('Help', pygame.font.Font('fonts\chalk.ttf', 50), (255, 255, 255), screen, 400, 400) button_5 = pygame.Rect(300, 450, 200, 100) draw_text('Credits', pygame.font.Font('fonts\chalk.ttf', 50), (255, 255, 255), screen, 400, 500) speaker_button = pygame.Rect(730, 530, 40, 40) screen.blit(speakeroff, (740, 540)) if speaker == 1: screen.blit(speakeron, (740, 540)) if button_1.collidepoint((mx, my)): if click: if speaker == 1:mixer.music.play() game_initialize() if button_4.collidepoint((mx, my)): if click: if speaker == 1:mixer.music.play() help_text() if button_2.collidepoint((mx, my)): if click: if speaker == 1:mixer.music.play() coming_soon() if button_3.collidepoint((mx, my)): if click: if speaker == 1:mixer.music.play() coming_soon() if button_5.collidepoint((mx, my)): if click: if speaker == 1:mixer.music.play() credits() if speaker_button.collidepoint((mx, my)): if click: if speaker == 1: speaker = 0 print(1) else: mixer.music.play() speaker = 1 click = False for event in pygame.event.get(): if event.type == pygame.QUIT: pygame.quit() sys.exit() if event.type == pygame.MOUSEBUTTONDOWN: if event.button == 1: click = True pygame.display.update() def help_text(): global speaker screen.blit(help_image, (0, 0)) while True: learn_more = pygame.Rect(300, 500, 200, 100) mx, my = pygame.mouse.get_pos() for event in pygame.event.get(): if event.type == pygame.KEYDOWN: if event.key == pygame.K_ESCAPE: main_menu() if event.type == pygame.QUIT: pygame.quit() sys.exit() pygame.display.update() if event.type == pygame.MOUSEBUTTONDOWN: if event.button == 1: if learn_more.collidepoint((mx, my)): webbrowser.open("https://www.youtube.com/watch?v=yk8nCzniSeQ&list=PLkgilrx-E5eJLoANuOWofc88Cv-tnehk6") def coming_soon(): global speaker screen.blit(background_image, (0, 0)) while True: draw_text('coming soon', font, (255, 255, 255), screen, 400, 300) mx, my = pygame.mouse.get_pos() for event in pygame.event.get(): if event.type == pygame.KEYDOWN: if event.key == pygame.K_ESCAPE: main_menu() if event.type == pygame.QUIT: pygame.quit() sys.exit() pygame.display.update() if event.type == pygame.MOUSEBUTTONDOWN: if event.button == 1: main_menu() def credits(): global speaker screen.blit(background_image, (0, 0)) while True: draw_text('Bhavish', font, (255, 255, 255), screen, 400, 300) mx, my = pygame.mouse.get_pos() for event in pygame.event.get(): if event.type == pygame.KEYDOWN: if event.key == pygame.K_ESCAPE: main_menu() if event.type == pygame.QUIT: pygame.quit() sys.exit() pygame.display.update() if event.type == pygame.MOUSEBUTTONDOWN: if event.button == 1: main_menu() main_menu()

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0.09966

0.786032

0.781955

0.707739

0.70117

0.695206

0.611325

0

0.176153

0.426099

31,258

727

128

42.995873

0.562183

0.002335

0

0.608319

0

0.001733

0.024104

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1

0.019064

false

0

0.006932

0

0.032929

0.001733

0

null

0

1

0

1

0

null

0

4

6da4baef07c060b3ee2cc6ed2b2151eb9033b410

429

py

Python

python/kyu-5/extract-domain/test_extract_domain.py

ledwindra/codewars

0552669a69e801cfe5f9a3696a4d98be63a96951

[ "WTFPL" ]

1

2020-11-13T16:55:04.000Z

python/kyu-5/extract-domain/test_extract_domain.py

ledwindra/codewars

0552669a69e801cfe5f9a3696a4d98be63a96951

[ "WTFPL" ]

1

2020-01-28T15:48:17.000Z

python/kyu-5/extract-domain/test_extract_domain.py

ledwindra/codewars

0552669a69e801cfe5f9a3696a4d98be63a96951

[ "WTFPL" ]

null

from extract_domain import domain_name class TestExtractDomain: def test_google_com(self): assert domain_name('http://google.com') == 'google' def test_google_jp(self): assert domain_name('http://google.co.jp') == 'google' def test_xakep_ru(self): assert domain_name('www.xakep.ru') == 'xakep' def test_youtube_com(self): assert domain_name('https://youtube.com') == 'youtube'

28.6

62

0.668998

57

429

4.789474

0.368421

0.18315

0.234432

0.29304

0.315018

0.21978

0

0.191142

429

15

62

28.6

0.786744

0

0.211628

0

0.4

1

0.4

false

0

0.1

0

0.6

0

null

0

1

0

null

0

1

0

1

0

4

6db1a621719ebdc4944f2dcccd36fcd37b899f10

19,719

py

Python

hoki/csp/eventrate.py

HeloiseS/hoki

31cecc4c4ee2bbb617e1451df1cab896f485d801

[ "BSD-3-Clause" ]

40

2019-09-18T13:04:09.000Z

2022-03-08T12:45:35.000Z

hoki/csp/eventrate.py

HeloiseS/hoki

31cecc4c4ee2bbb617e1451df1cab896f485d801

[ "BSD-3-Clause" ]

60

2019-10-26T01:11:52.000Z

2022-02-10T06:52:08.000Z

hoki/csp/eventrate.py

HeloiseS/hoki

31cecc4c4ee2bbb617e1451df1cab896f485d801

[ "BSD-3-Clause" ]

8

2020-03-04T23:35:01.000Z

2021-05-23T16:32:54.000Z

""" Author: Max Briel Object to calculate the event rate at a certain lookback time or over binned lookback time """ import numpy as np import numba from hoki.csp.csp import CSP import hoki.csp.utils as utils from hoki.constants import (BPASS_LINEAR_TIME_EDGES, BPASS_NUM_METALLICITIES, BPASS_EVENT_TYPES, HOKI_NOW) from hoki.utils.exceptions import HokiFatalError from hoki.utils.hoki_object import HokiObject from hoki import load from hoki.utils.progressbar import print_progress_bar class CSPEventRate(HokiObject, CSP): """ Object to calculate event rates using complex stellar formation histories. Parameters ---------- data_path : `str` Folder containing the BPASS data files (in units #events per bin) imf : `str` The BPASS identifier for the IMF of the BPASS event rate files. The accepted IMF identifiers are: - `"imf_chab100"` - `"imf_chab300"` - `"imf100_100"` - `"imf100_300"` - `"imf135_100"` - `"imf135_300"` - `"imfall_300"` - `"imf170_100"` - `"imf170_300"` binary : `bool` If `True`, loads the binary files. Otherwise, just loads single stars. Default=True Attributes ---------- bpass_rates : `pandas.DataFrame` (51, (8, 13)) The BPASS delay time distributions in #events/yr/M_\\odot per metallicity. Usage: rates.loc[log_age, (type, metallicity)] Note ----- This dataframe has the following structure. The index is the log_age as a float. The column is a `pandas.MultiIndex` with the event types (level=0, `str`) and the metallicity (level=1, `float`) |Event Type | Ia | IIP | ... | PISNe | low_mass | |Metallicity| 0.00001 | 0.00001 | ... | 0.04 | 0.04 | | log_age |---------|----------|------|-------|----------| | 6.0 | | ... | Event Rate values | 11.0 | """ def __init__(self, data_path, imf, binary=True): self.bpass_rates = utils._normalise_rates( load.rates_all_z(data_path, imf, binary=binary)) # Has the shape (8, 13, 51) [event_type, metallicity, time_bin] self._numpy_bpass_rates = self.bpass_rates[BPASS_EVENT_TYPES].T.to_numpy().reshape((len(BPASS_EVENT_TYPES),13, 51)) ################### # Function inputs # ################### # Public functions that take SFH and ZEH functions as input def at_time(self, SFH, ZEH, event_type_list, t0, sample_rate = 1000): """ Calculates the event rates at lookback time `t0` for functions as input. Parameters ---------- SFH : `python callable`, `hoki.csp.sfh.SFH`, `list(hoki.csp.sfh.SFH, )`, `list(callable, )` SFH can be the following things: - A python callable (function) which takes the lookback time and returns the stellar formation rate in units M_\\odot per yr at the given time. - A list of python callables with the above requirement. - A `hoki.csp.sfh.SFH` object. - A list of `hoki.csp.sfh.SFH` objects. ZEH : callable, `list(callable, )` ZEH can be the following things: - A python callable (function) which takes the lookback time and returns the metallicity at the given time. - A list of python callables with the above requirement. event_type_list : `list(str, )` A list of BPASS event types. The available types are: - Ia - IIP - II - Ib - Ic - LGRB - PISNe - low_mass t0 : `float` The moment in lookback time, where to calculate the the event rate sample_rate : `int` The number of samples to take from the SFH and metallicity evolutions. Default = 1000. If a negative value is given, the BPASS binning to calculate the event rates. Returns ------- `numpy.ndarray` (N, M) [nr_sfh, nr_event_types] Returns a `numpy.ndarray` containing the event rates for each sfh and metallicity pair (N) and event type (M) at the requested lookback time. Usage: event_rates[1]["Ia"] (Gives the Ia event rates for the second sfh and metallicity history pair) """ SFH, ZEH = self._type_check_histories(SFH, ZEH) if isinstance(event_type_list, type(list)): raise HokiFatalError( "event_type_list is not a list. Only a list is taken as input.") nr_events = len(event_type_list) nr_sfh = len(SFH) output_dtype = np.dtype([(i, np.float64) for i in event_type_list]) event_rates = np.empty(nr_sfh, dtype=output_dtype) # Define time edges time_edges = BPASS_LINEAR_TIME_EDGES if sample_rate < 0 else np.linspace(0, self.now, sample_rate+1) bpass_rates = self._numpy_bpass_rates[[BPASS_EVENT_TYPES.index(i) for i in event_type_list]] mass_per_bin_list = np.array( [utils.mass_per_bin(i, t0+time_edges) for i in SFH]) metallicity_per_bin_list = np.array( [utils.metallicity_per_bin(i, t0+time_edges) for i in ZEH]) for counter, (mass_per_bin, Z_per_bin) in enumerate(zip(mass_per_bin_list, metallicity_per_bin_list)): for count in range(nr_events): event_rates[counter][count] = utils._at_time( Z_per_bin, mass_per_bin, time_edges, bpass_rates[count]) return event_rates def over_time(self, SFH, ZEH, event_type_list, nr_time_bins, return_time_edges=False): """ Calculates the event rates over lookback time for functions as input. Parameters ---------- SFH : `python callable`, `hoki.csp.sfh.SFH`, `list(hoki.csp.sfh.SFH, )`, `list(callable, )` SFH can be the following things: - A python callable (function) which takes the lookback time and returns the stellar formation rate in units M_\\odot per yr at the given time. - A list of python callables with the above requirement. - A `hoki.csp.sfh.SFH` object. - A list of `hoki.csp.sfh.SFH` objects. ZEH : callable, `list(callable, )` ZEH can be the following thins: - A python callable (function) which takes the lookback time and returns the metallicity at the given time. - A list of python callables with the above requirement. event_type_list : `list(str, )` A list of BPASS event types. The available types are: - Ia - IIP - II - Ib - Ic - LGRB - PISNe - low_mass nr_time_bins : `int` The number of bins to split the lookback time into. return_time_edges : `bool` If `True`, also returns the edges of the lookback time bins. Default=False Returns ------- `numpy.ndarray` (nr_sfh, nr_event_types, nr_time_bins), ((nr_sfh, nr_event_types, nr_time_bins), nr_time_bins) The event rates in a 3D matrix with sides, the number of SFH-Z pairs, the number of events selected, and the number of time bins choosen. If `return_time_edges=False`, returns a `numpy.ndarray` containing the event rates. Usage: event_rates[1]["Ia"][10] (Gives the Ia event rates in bin number 11 for the second sfh and metallicity history pair) If `return_time_edges=True`, returns a numpy array containing the event rates and the edges, eg. `out[0]=event_rates` `out[1]=time_edges`. """ # check and transform the input to the righ type SFH, ZEH = self._type_check_histories(SFH, ZEH) if isinstance(event_type_list, type(list)): raise HokiFatalError( "event_type_list is not a list. Only a list is taken as input.") nr_events = len(event_type_list) nr_sfh = len(SFH) output_dtype = np.dtype([(i, np.float64, nr_time_bins) for i in event_type_list]) event_rates = np.empty(nr_sfh, dtype=output_dtype) time_edges = np.linspace(0, self.now, nr_time_bins+1) bpass_rates = self._numpy_bpass_rates[[BPASS_EVENT_TYPES.index(i) for i in event_type_list]] mass_per_bin_list = np.array( [utils.mass_per_bin(i, time_edges) for i in SFH]) metallicity_per_bin_list = np.array( [utils.metallicity_per_bin(i, time_edges) for i in ZEH]) for counter, (mass_per_bin, Z_per_bin) in enumerate(zip(mass_per_bin_list, metallicity_per_bin_list)): for count in range(nr_events): event_rate = utils._over_time(Z_per_bin, mass_per_bin, time_edges, bpass_rates[count]) event_rates[counter][count] = event_rate/np.diff(time_edges) if return_time_edges: return np.array([event_rates, time_edges], dtype=object) else: return event_rates #################### # Grid calculators # #################### # Public functions that take a 2D SFH split per metallicity (13, nr_time_points). def grid_at_time(self, SFH_list, time_points, event_type_list, t0, sample_rate=1000): """ Calculates event rates for the given BPASS event types for the given SFH in a 2D grid (over BPASS metallicity and time_points) Parameters ---------- SFH_list : `numpy.ndarray` (N, 13, M) [nr_sfh, metalllicities, time_points] A list of N stellar formation histories divided into BPASS metallicity bins, over lookback time points with length M. time_points : `numpy.ndarray` (M) An array of the lookback time points of length N2 at which the SFH is given in the SFH_list. event_type_list : `list(str, )` A list of BPASS event types. The available types are: - Ia - IIP - II - Ib - Ic - LGRB - PISNe - low_mass t0 : `float` The moment in lookback time, where to calculate the the event rate sample_rate : `int` The number of samples to take from the SFH and metallicity evolutions. Default = 1000. If a negative value is given, the BPASS binning to calculate the event rates. Returns ------ event_rate_list : `numpy.ndarray` (N, 13, nr_events) A numpy array containing the event rates per SFH (N), per metallicity (13), per event type (nr_events) at t0. """ nr_sfh = SFH_list.shape[0] nr_events = len(event_type_list) bpass_rates = self._numpy_bpass_rates[[BPASS_EVENT_TYPES.index(i) for i in event_type_list]] event_rate_list = np.empty((nr_sfh, 13, nr_events), dtype=np.float64) for i in range(nr_sfh): print_progress_bar(i, nr_sfh) event_rate_list[i] = self._grid_rate_calculator_at_time(bpass_rates, SFH_list[i], time_points, t0, sample_rate) return event_rate_list def grid_over_time(self, SFH_list, time_points, event_type_list, nr_time_bins, return_time_edges=False): """ Calculates event rates for the given BPASS event types for the given Stellar Formation Histories Parameters ---------- SFH_list : `numpy.ndarray` (N, 13, M) [nr_sfh, metalllicities, time_points] A list of N stellar formation histories divided into BPASS metallicity bins, over lookback time points with length M. time_points : `numpy.ndarray` (M) An array of the lookback time points of length N2 at which the SFH is given in the SFH_list. event_type_list : `list(str, )` A list of BPASS event types. The available types are: - Ia - IIP - II - Ib - Ic - LGRB - PISNe - low_mass nr_time_bins : `int` The number of time bins in which to divide the lookback time return_time_edges : `bool` If `True`, also returns the edges of the lookback time bins. Default=False Returns ------ event_rate_list : `numpy.ndarray` (N, 13, nr_events, nr_time_bins) ((N, 13, nr_events, nr_time_bins), time_edges) A numpy array containing the event rates per galaxy (N), per metallicity (13), per event type (nr_events) and per time bins (nr_time_bins). If `return_time_edges=True`, returns a numpy array containing the event rates and the time edges, eg. `out[0]=event_rates_list` `out[1]=time_edges`. """ nr_sfh = SFH_list.shape[0] nr_events = len(event_type_list) time_edges = np.linspace(0,self.now, nr_time_bins+1) bpass_rates = self._numpy_bpass_rates[[BPASS_EVENT_TYPES.index(i) for i in event_type_list]] event_rate_list = np.zeros((nr_sfh, 13, nr_events, nr_time_bins), dtype=np.float64) for i in range(nr_sfh): print_progress_bar(i, nr_sfh) event_rate_list[i] = self._grid_rate_calculator_over_time(bpass_rates, SFH_list[i], time_points, nr_time_bins) if return_time_edges: return np.array([event_rate_list, time_edges], dtype=object) else: return event_rate_list ######################### # Grid rate calculators # ######################### # Private functions to calculate the rate using a 2D SFH split per metallicity # (13, nr_time_points). They use numba in a parallised manner to speed up # the calculation. @staticmethod @numba.njit(parallel=True, cache=True) def _grid_rate_calculator_at_time(bpass_rates, SFH, time_points, t0, sample_rate=1000): """ Calculates the event rates for the given rates and 2D SFH at a time. Note ---- This function checks the `bpass_rates` for how many event rates have to be calculated, but does not know what the event types are. Furthermore, the SFH is a 2D matrix of size (13,time_points). Parameters ---------- bpass_rates : `numpy.ndarray` (M, 13, 51) [event_type, metallicity, time_bin] Numpy array containing the BPASS event rates per event type (M), metallicity (13) and BPASS time bins (51). SFH : `numpy.ndarray` (13, N) [metallicity, time_points] Gives the SFH for each metallicity at the time_points. time_points : `numpy.ndarray` (N) The time points at which the SFH is sampled (N) t0 : 'float' The lookback time at which to calculate the event rates sample_rate : `int` The number of samples to take from the SFH and metallicity evolutions. Default = 1000. Returns ------- event_rates : `numpy.ndarray` (13, M) A numpy array containing the event rates per metallicity (13) per event type (M) at the given time """ nr_event_type = bpass_rates.shape[0] event_rates = np.empty((13, nr_event_type), dtype=np.float64) time_edges = np.linspace(0, HOKI_NOW, sample_rate+1) mass_per_bin_list = np.empty((13, sample_rate), dtype=np.float64) # Calculate the mass per bin for each metallicity for i in numba.prange(13): # The input parameter here (sample_rate) is between the time sampled points mass_per_bin_list[i] = utils._optimised_mass_per_bin(time_points, SFH[i], t0+time_edges, sample_rate=25) # Loop over the metallicities for counter in numba.prange(13): # Loop over the event types for count in numba.prange(nr_event_type): event_rates[counter][count] = utils._at_time(np.ones(sample_rate)*BPASS_NUM_METALLICITIES[counter], mass_per_bin_list[counter], time_edges, bpass_rates[count])[0] return event_rates @staticmethod @numba.njit(parallel=True, cache=True) def _grid_rate_calculator_over_time(bpass_rates, SFH, time_points, nr_time_bins): """ Calculates the event rates for specific BPASS rates over time Note ---- This function checks the bpass_rates for how many event rates have to be calculated, but does not know what the event types are. Furthermore, the SFH is a 2D matrix of size (13, time_points). Parameters ---------- bpass_rates : `numpy.ndarray` (M, 13, 51) [event_type, metallicity, time_bin] Numpy array containing the BPASS event rates per event type (M), metallicity and BPASS time bin. SFH : `numpy.ndarray` (13, N) [metallicity, SFH_time_sampling_points] Gives the SFH for each metallicity at the time_points time_points : `numpy.ndarray` The time points at which the SFH is sampled (N) nr_time_bins : `int` The number of time points in which to split the lookback time (final binning) Returns ------- event_rates : `numpy.ndarray` (13, M, nr_time_bins) A numpy array containing the event rates per metallicity (13) per event type (M) per time bins. """ nr_event_type = bpass_rates.shape[0] event_rates = np.empty((13, nr_event_type, nr_time_bins), dtype=np.float64) time_edges = np.linspace(0, HOKI_NOW, nr_time_bins+1) mass_per_bin_list = np.empty((13, nr_time_bins), dtype=np.float64) # Calculate the mass per bin for each metallicity for i in numba.prange(13): mass_per_bin_list[i] = utils._optimised_mass_per_bin(time_points, SFH[i], time_edges, sample_rate=25) # Loop over the metallcities for counter in numba.prange(13): # Loop over the event types for count in numba.prange(nr_event_type): event_rate = utils._over_time(np.ones(nr_time_bins)*BPASS_NUM_METALLICITIES[counter], mass_per_bin_list[counter], time_edges, bpass_rates[count]) event_rates[counter][count] = event_rate/np.diff(time_edges) return event_rates

37.921154

123

0.578325

2,542

19,719

4.290323

0.108969

0.040345

0.026224

0.012837

0.766275

0.731249

0.716578

0.689437

0.627911

0.609848

0

0.018379

0.335007

19,719

519

124

37.99422

0.813315

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0

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false

0.169355

0.072581

0

0.201613

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0

1

0

1

0

null

0

1

0

4

6dc617b49c0990bf925bba3712c8d5c7913999c4

27,269

py

Python

tests/test_xrosfs.py

hankei6km/xrosfs

17d9db92345d53198eb6a50d8a826557e41f293f

[ "MIT" ]

1

2021-07-09T16:56:52.000Z

tests/test_xrosfs.py

hankei6km/xrosfs

17d9db92345d53198eb6a50d8a826557e41f293f

[ "MIT" ]

null

tests/test_xrosfs.py

hankei6km/xrosfs

17d9db92345d53198eb6a50d8a826557e41f293f

[ "MIT" ]

null

# -*- coding: utf-8 -*- # # Copyright (c) 2018 hankei6km # Licensed under the MIT License. See LICENSE.txt in the project root. import pytest # import unittest from unittest import mock import os import types import datetime import time from xrosfs.xrosfs import XrosFS from xrosfs.conshell import ConShell, EntryResult # mock = unittest.mock Mock = mock.Mock class TestXroFS(): def test_full_path(self): xrosfs = XrosFS(Mock(), Mock(), '/mnt') # Prepare function decorated @XrosFS.full_path() def f(self, path, arg1, arg2=None, full_path=''): m = Mock() m(full_path, arg1, arg2=arg2) return m # Test f(xrosfs, 'chk', 'arg1_test', 'arg2_test').\ assert_called_once_with('/mnt/chk', 'arg1_test', arg2='arg2_test') f(xrosfs, '/chk', 'arg1_test', 'arg2_test').\ assert_called_once_with('/mnt/chk', 'arg1_test', arg2='arg2_test') f(xrosfs, '//chk', 'arg1_test', 'arg2_test').\ assert_called_once_with('/mnt/chk', 'arg1_test', arg2='arg2_test') f(xrosfs, '/', 'arg1_test', 'arg2_test').\ assert_called_once_with('/mnt/', 'arg1_test', arg2='arg2_test') def test_directory_traversal(self): xrosfs = XrosFS(Mock(), Mock(), '/mnt') # Prepare function decorated @XrosFS.full_path() def f(self, path, full_path=''): m = Mock() m(full_path) return full_path # Test by various paths paths = [ '../chk', '../../../../../../chk', '..//..//..//..//..//..//chk', 'test/test/../../../chk', 'test/../test/../test/../../chk', 'test/./test/./test/../.././.././../chk', '/../../../../chk', '///../chk' ] for path in paths: with pytest.raises(PermissionError) as excinfo: assert os.path.normpath(f(xrosfs, path)) == '' assert 'Directory traversal deteceted, arg path=' + path\ in str(excinfo) def test_full_path_multiple_args(self): xrosfs = XrosFS(Mock(), Mock(), '/mnt') # Prepare function decorated @XrosFS.full_path(['old', 'new']) def f(self, old, new, arg1, arg2=None, full_path_old='', full_path_new=''): m = Mock() m(full_path_old, full_path_new, arg1, arg2=arg2) return m # Test f(xrosfs, 'chk_old', 'chk_new', 'arg1_test', 'arg2_test').\ assert_called_once_with('/mnt/chk_old', '/mnt/chk_new', 'arg1_test', arg2='arg2_test') f(xrosfs, '/chk_old', '/chk_new', 'arg1_test', 'arg2_test').\ assert_called_once_with('/mnt/chk_old', '/mnt/chk_new', 'arg1_test', arg2='arg2_test') f(xrosfs, '//chk_old', '//chk_new', 'arg1_test', 'arg2_test').\ assert_called_once_with('/mnt/chk_old', '/mnt/chk_new', 'arg1_test', arg2='arg2_test') f(xrosfs, '/', 'new', 'arg1_test', 'arg2_test').\ assert_called_once_with('/mnt/', '/mnt/new', 'arg1_test', arg2='arg2_test') f(xrosfs, 'old', '/', 'arg1_test', 'arg2_test').\ assert_called_once_with('/mnt/old', '/mnt/', 'arg1_test', arg2='arg2_test') def test_directory_traversal_multiple_args(self): xrosfs = XrosFS(Mock(), Mock(), '/mnt') # Prepare function decorated @XrosFS.full_path(['old', 'new']) def f(self, old, new, full_path_old='', full_path_new=''): m = Mock() m(full_path_old, full_path_new) return (full_path_old, full_path_new) # Test by various paths paths = [ '../chk', '../../../../../../chk', '..//..//..//..//..//..//chk', 'test/test/../../../chk', 'test/../test/../test/../../chk', 'test/./test/./test/../.././.././../chk', '/../../../../chk', '///../chk' ] # Test old for path in paths: with pytest.raises(PermissionError) as excinfo: assert os.path.normpath(f(xrosfs, path, 'new')) is () assert 'Directory traversal deteceted, arg old=' + path\ in str(excinfo) # Test new for path in paths: with pytest.raises(PermissionError) as excinfo: assert os.path.normpath(f(xrosfs, 'old', path)) is () assert 'Directory traversal deteceted, arg new=' + path\ in str(excinfo) def test_entry(self): xrosfs = XrosFS(Mock(), Mock(), '/mnt') # Prepare results(errno=0) res_normal_end = EntryResult('normal end', 0, '') xrosfs.shell.entry.return_value = res_normal_end command = ['test'] # Test assert xrosfs._entry(command) is res_normal_end xrosfs.shell.entry.assert_called_once_with(command) # Reset mock xrosfs.shell.entry.reset_mock() # Prepare results(errno=3, stderr='Permission denied') res_abnormal_end = EntryResult('', 3, 'abend') xrosfs.shell.entry.return_value = res_abnormal_end command = ['test'] # Test assert xrosfs._entry(command, raise_unknow=False) is res_abnormal_end with pytest.raises(RuntimeError) as excinfo: assert xrosfs._entry(command) == '' assert 'cmd:test errno:3 stderr:abend' in str(excinfo) def test_get_homedir( self, cmdbuilder_mock_avail_cmds): xrosfs = XrosFS(Mock(), Mock(), '/mnt') xrosfs.cmd_builder = cmdbuilder_mock_avail_cmds() # Prepare dummy results xrosfs.shell.entry.return_value = EntryResult('/root\n') # Test assert xrosfs._get_homedir() == '/root' xrosfs.shell.entry.assert_called_once_with(( '/usr/bin/test', '-z', '"${HOME}"', '&&', '/usr/bin/pwd', '||', '/bin/echo', '"${HOME}"' ), quote=False) def test_access( self, conshell_mock_methods, cmdbuilder_mock_avail_cmds): shell = Mock() shell.quote.side_effect = lambda c: ConShell.quote(shell, c) xrosfs = XrosFS(shell, cmdbuilder_mock_avail_cmds(), '/mnt') # Prepare dummy results xrosfs.shell.entry.return_value = EntryResult() # Test assert xrosfs.access('/path/to/test & test', os.W_OK) is None xrosfs.shell.entry.assert_called_once_with( (['/usr/bin/test', '-w', "'/mnt/path/to/test & test'"]), quote=False) # Reset mock xrosfs.shell.entry.reset_mock() # Prepare dummy results xrosfs.shell.entry.return_value = EntryResult() # Test multpule mode bits assert xrosfs.access('/path/to/test & test', os.W_OK | os.R_OK | os.X_OK) is None xrosfs.shell.entry.assert_called_once_with( ([ '/usr/bin/test', '-x', "'/mnt/path/to/test & test'", '&&', '/usr/bin/test', '-w', "'/mnt/path/to/test & test'", '&&', '/usr/bin/test', '-r', "'/mnt/path/to/test & test'" ]), quote=False) # Reset mock xrosfs.shell.entry.reset_mock() # Prepare dummy results xrosfs.shell.entry.return_value = EntryResult() # Test os.F_OK assert xrosfs.access('/path/to/test & test', os.F_OK) is None xrosfs.shell.entry.assert_called_once_with( (['/usr/bin/test', '-e', "'/mnt/path/to/test & test'"]), quote=False) # Reset mock xrosfs.shell.entry.reset_mock() # Prepare xrosfs.shell.entry.return_value = EntryResult('', 1, '') # Test to can't access with pytest.raises(OSError) as excinfo: assert xrosfs.access('/path/to/test & test', os.F_OK) is None assert 'fuse.FuseOSError: [Errno 13] Permission denied'\ in str(excinfo) def test_chmod( self, cmdbuilder_mock_avail_cmds): xrosfs = XrosFS(Mock(), cmdbuilder_mock_avail_cmds(), '/mnt') # Prepare dummy results xrosfs.shell.entry.return_value = EntryResult() # Test assert xrosfs.chmod('/path/to/test & test', 0x777) == 0 xrosfs.shell.entry.assert_called_once_with( ('/bin/chmod', '3567', '--', '/mnt/path/to/test & test')) def test_chown( self, cmdbuilder_mock_avail_cmds): xrosfs = XrosFS(Mock(), cmdbuilder_mock_avail_cmds(), '/mnt') # Prepare dummy results xrosfs.shell.entry.return_value = EntryResult() # Test assert xrosfs.chown('/path/to/test & test', 1000, 2000) == 0 xrosfs.shell.entry.assert_called_once_with( ('/bin/chown', '1000:2000', '--', '/mnt/path/to/test & test')) def test_getattr( self, cmdbuilder_mock_avail_cmds): xrosfs = XrosFS(Mock(), cmdbuilder_mock_avail_cmds(), '/mnt') # Prepare dummy results xrosfs.shell.entry.return_value = EntryResult( '{"st_mode":"0x81ed","st_ino":547312,"st_dev":46,' '"st_nlink":1,"st_uid":0,"st_gid":0,"st_size":76584,' '"st_atime":1502264616,"st_mtime":1426348024,' '"st_ctime":1501780227}') # Test assert xrosfs.getattr('/usr/bin/stat') ==\ {"st_mode": 33261, "st_ino": 547312, "st_dev": 46, "st_nlink": 1, "st_uid": 0, "st_gid": 0, "st_size": 76584, "st_atime": 1502264616, "st_mtime": 1426348024, "st_ctime": 1501780227} xrosfs.shell.entry.assert_called_once_with( ('/usr/bin/stat', '-c', xrosfs.cmd_builder.stat2json, '--', '/mnt/usr/bin/stat')) # Reset mock xrosfs.shell.entry.reset_mock() # Test not exist path xrosfs.shell.entry.return_value =\ EntryResult('', 1, 'stat: cannot stat ‘/not_extist’:' 'No such file or directory\n') with pytest.raises(OSError) as excinfo: assert xrosfs.getattr('/usr/bin/stat') == '' assert 'fuse.FuseOSError: [Errno 2] No such file or directory'\ in str(excinfo) # Reset mock xrosfs.shell.entry.reset_mock() # Test json parse error xrosfs.shell.entry.return_value =\ EntryResult('{') with pytest.raises(RuntimeError) as excinfo: assert xrosfs.getattr('/usr/bin/stat') == '' assert 'RuntimeError: stat:' in str(excinfo) # Reset mock xrosfs.shell.entry.reset_mock() # Check recover from getattr failed xrosfs.shell.entry.side_effect = ( EntryResult('', 1, ''), EntryResult( '{"st_mode":"0x81ed","st_ino":547312,"st_dev":46,' '"st_nlink":1,"st_uid":0,"st_gid":0,"st_size":76584,' '"st_atime":1502264616,"st_mtime":1426348024,' '"st_ctime":1501780227}') ) assert xrosfs.getattr('/usr/bin/stat') ==\ {"st_mode": 33261, "st_ino": 547312, "st_dev": 46, "st_nlink": 1, "st_uid": 0, "st_gid": 0, "st_size": 76584, "st_atime": 1502264616, "st_mtime": 1426348024, "st_ctime": 1501780227} assert xrosfs.shell.entry.call_count == 2 # Reset mock xrosfs.shell.entry.reset_mock() xrosfs.shell.entry.side_effect = \ [EntryResult('', 1, '') for i in range(1, 20)] # Check fatal error xrosfs.shell.entry.return_value = EntryResult('', 1, ''), with pytest.raises(RuntimeError) as excinfo: assert xrosfs.getattr('/usr/bin/stat') == '' assert 'RuntimeError: Fatale error getattr failed 10 times' in \ str(excinfo) assert xrosfs.shell.entry.call_count == 10 # Reset mock xrosfs.shell.entry.reset_mock() xrosfs.shell.entry.side_effect = None # Check to raise unknown xrosfs.shell.entry.side_effect = [EntryResult('', 1, 'check')] with pytest.raises(RuntimeError) as excinfo: assert xrosfs.getattr('/usr/bin/stat') == '' assert 'RuntimeError: cmd' in str(excinfo) def test_readdir( self, cmdbuilder_mock_avail_cmds): xrosfs = XrosFS(Mock(), cmdbuilder_mock_avail_cmds(), '/mnt') # Prepare dummy results files = ['foo', 'bar'] xrosfs.shell.entry.return_value = EntryResult('\n'.join(files) + '\n') # Test ls = xrosfs.readdir('/chk', None) assert isinstance(ls, types.GeneratorType) assert [i for i in ls] == files xrosfs.shell.entry.assert_called_once_with( ('/bin/ls', '-a1', '--', '/mnt/chk')) # Reset mock xrosfs.shell.entry.reset_mock() # Test not exist path xrosfs.shell.entry.return_value =\ EntryResult('', 2, 'ls: cannot access \'/not_exist\':' 'No such file or directory\n') xrosfs.readdir('/not_exist', None) with pytest.raises(OSError) as excinfo: ls = xrosfs.readdir('/not_exist', None) # Run code that before first `yield` in generator function assert next(ls) == '' assert 'fuse.FuseOSError: [Errno 2] No such file or directory'\ in str(excinfo) def test_readlink( self, cmdbuilder_mock_avail_cmds): xrosfs = XrosFS(Mock(), cmdbuilder_mock_avail_cmds(), '/mnt') # Prepare dummy results xrosfs.shell.entry.return_value = EntryResult('../link/file.txt') # Test assert xrosfs.readlink('/path/to/test & test') == '../link/file.txt' xrosfs.shell.entry.assert_called_once_with( ('/bin/readlink', '-n', '--', '/mnt/path/to/test & test')) def test_rmdir( self, cmdbuilder_mock_avail_cmds): xrosfs = XrosFS(Mock(), cmdbuilder_mock_avail_cmds(), '/mnt') # Prepare dummy results xrosfs.shell.entry.return_value = EntryResult() # Test assert xrosfs.rmdir('/path/to/test & test') == 0 xrosfs.shell.entry.assert_called_once_with( ('/usr/bin/rmdir', '--', '/mnt/path/to/test & test')) # Prepare rm not empty directory dummy results xrosfs.shell.entry.return_value = \ EntryResult( '', 1, 'rm: cannot remove \'test1\': Directory not empty') # Test with pytest.raises(OSError) as excinfo: assert xrosfs.rmdir('test1') == 0 assert 'fuse.FuseOSError: [Errno 39] Directory not empty'\ in str(excinfo) def test_mkdir( self, cmdbuilder_mock_avail_cmds): xrosfs = XrosFS(Mock(), cmdbuilder_mock_avail_cmds(), '/mnt') # Prepare dummy results xrosfs.shell.entry.return_value = EntryResult() # Test assert xrosfs.mkdir('/path/to/test & test', 0o022) == 0 calls = [ mock.call(('/usr/bin/mkdir', '--', '/mnt/path/to/test & test')), mock.call(('/bin/chmod', '0022', '--', '/mnt/path/to/test & test')) ] xrosfs.shell.entry.assert_has_calls(calls) # Prepare mkdir to exist directory dummy results xrosfs.shell.entry.return_value = \ EntryResult( '', 1, 'mkdir: cannot create directory \'test1\': File exists') # Test with pytest.raises(OSError) as excinfo: assert xrosfs.mkdir('test1', 0o022) == 0 assert 'fuse.FuseOSError: [Errno 17] File exists'\ in str(excinfo) def test_statfs( self, cmdbuilder_mock_avail_cmds): xrosfs = XrosFS(Mock(), cmdbuilder_mock_avail_cmds(), '/mnt') # Prepare dummy results xrosfs.shell.entry.side_effect = [ EntryResult( '{"f_bavail": 1, "f_bfree": 2, "f_blocks": 3,' '"f_bsize": 4, "f_favail": 5, "f_ffree": 6,' '"f_files": 7, "f_frsize": 8, "f_namemax": 9}\n' ), EntryResult( 'overlay / overlay rw,relatime,lowerdir=/var/... 0 0\n' 'proc /proc proc ... 0 0\n' 'tmpfs /dev tmpfs ... 0 0\n' ) ] # Test assert xrosfs.statfs('/home/pdu/xrosfs/bench_test/mnt/xrosfs') == \ {"f_bavail": 1, "f_bfree": 2, "f_blocks": 3, "f_bsize": 4, "f_favail": 5, "f_ffree": 6, "f_files": 7, "f_frsize": 8, "f_namemax": 9, "f_flag": 32 | os.ST_RELATIME} calls = [ mock.call(('/usr/bin/stat', '-f', '-c', '{"f_bavail":%a,"f_bfree":%f,"f_blocks":%b,' '"f_bsize":%s,"f_favail":%d,"f_ffree":%d,' '"f_files":%c,"f_frsize":%S,"f_namemax":%l}', '--', '/mnt/home/pdu/xrosfs/bench_test/mnt/xrosfs')), mock.call(['cat', '/proc/mounts']) ] xrosfs.shell.entry.assert_has_calls(calls) # Reset mock xrosfs.shell.entry.side_effect = None xrosfs.shell.entry.reset_mock() # Test not exist path xrosfs.shell.entry.return_value =\ EntryResult('', 1, 'stat: cannot stat ‘/not_extist’:' 'No such file or directory\n') with pytest.raises(OSError) as excinfo: assert xrosfs.statfs('/home/pdu/xrosfs/bench_test/mnt/xrosfs') == \ '' assert 'fuse.FuseOSError: [Errno 2] No such file or directory'\ in str(excinfo) # Reset mock xrosfs.shell.entry.reset_mock() # Test json parse error xrosfs.shell.entry.return_value =\ EntryResult('{') with pytest.raises(RuntimeError) as excinfo: assert xrosfs.getattr('/usr/bin/stat') == '' assert 'RuntimeError: stat:' in str(excinfo) def test_unlink( self, cmdbuilder_mock_avail_cmds): xrosfs = XrosFS(Mock(), cmdbuilder_mock_avail_cmds(), '/mnt') # Prepare dummy results xrosfs.shell.entry.return_value = EntryResult() # Test assert xrosfs.unlink('/path/to/test & test') is None xrosfs.shell.entry.assert_called_once_with( ('/bin/rm', '--', '/mnt/path/to/test & test')) def test_symlink( self, cmdbuilder_mock_avail_cmds): xrosfs = XrosFS(Mock(), cmdbuilder_mock_avail_cmds(), '/mnt') # Prepare dummy results xrosfs.shell.entry.return_value = EntryResult('', 0) # Test assert xrosfs.symlink( '/path/to/test & test/name', 'test & test/target' ) == 0 xrosfs.shell.entry.assert_called_once_with( ('/usr/bin/ln', '-s', '--', 'test & test/target', '/mnt/path/to/test & test/name')) def test_rename( self, cmdbuilder_mock_avail_cmds): xrosfs = XrosFS(Mock(), cmdbuilder_mock_avail_cmds(), '/mnt') # Prepare dummy results xrosfs.shell.entry.return_value = EntryResult('', 0) # Test assert xrosfs.rename( '/path/to/test & test/old', '/path/to/test & test/new' ) == 0 xrosfs.shell.entry.assert_called_once_with( ('/bin/mv', '--', '/mnt/path/to/test & test/old', '/mnt/path/to/test & test/new')) def test_link( self, cmdbuilder_mock_avail_cmds): xrosfs = XrosFS(Mock(), cmdbuilder_mock_avail_cmds(), '/mnt') # Prepare dummy results xrosfs.shell.entry.return_value = EntryResult('', 0) # Test assert xrosfs.link( '/path/to/test & test/name', '/path/to/test & test/target' ) == 0 xrosfs.shell.entry.assert_called_once_with( ('/usr/bin/ln', '--', '/mnt/path/to/test & test/target', '/mnt/path/to/test & test/name')) def test_utimens( self, cmdbuilder_mock_avail_cmds): xrosfs = XrosFS(Mock(), cmdbuilder_mock_avail_cmds(), '/mnt') # Prepare dummy results xrosfs.shell.entry.return_value = EntryResult('', 0) # Test assert xrosfs.utimens('/path/to/test & test', None) is None xrosfs.shell.entry.assert_called_once_with( ('/usr/bin/touch', '-c', '--', '/mnt/path/to/test & test')) xrosfs.shell.entry.reset_mock() # Prepare dummy results xrosfs.shell.entry.return_value = EntryResult('', 0) atime = \ time.mktime(datetime.datetime(2017, 1, 2, 3, 4, 5).timetuple()) mtime = \ time.mktime(datetime.datetime(2017, 6, 7, 8, 9, 10).timetuple()) assert xrosfs.utimens( '/path/to/test & test', (atime, mtime) ) is None calls = [ mock.call(( '/usr/bin/touch', '-c', '-a', '-t', '201701020304.05', '--', '/mnt/path/to/test & test')), mock.call(( '/usr/bin/touch', '-c', '-m', '-t', '201706070809.10', '--', '/mnt/path/to/test & test')), ] xrosfs.shell.entry.assert_has_calls(calls) def test_read_dev_fd( self, cmdbuilder_mock_avail_cmds): xrosfs = XrosFS(Mock(), cmdbuilder_mock_avail_cmds(), '/mnt') # Prepare dummy results files = ['0', '1', '20', '21', '23', '25', '20', '21', '23', '25', '2', '3'] xrosfs.shell.entry.return_value = EntryResult('\n'.join(files) + '\n') # Test assert xrosfs._read_dev_fd() == files xrosfs.shell.entry.assert_called_once_with( ('/bin/ls', '-a1', '--', '/dev/fd/')) def test_open( self, cmdbuilder_mock_avail_cmds): xrosfs = XrosFS(Mock(), cmdbuilder_mock_avail_cmds(), '/mnt') # Prepare dummy results from `/dev/fd/` (next availabe fd is 22) xrosfs._read_dev_fd = Mock(return_value=['0', '1', '20', '21', '23', '25', '2', '3']) # Prepare dummy results xrosfs.shell.entry.return_value = EntryResult() # Test assert xrosfs.open('/path/to/test & test', os.O_RDONLY) == 22 xrosfs.shell.entry.assert_called_once_with( ('exec', '22<', "'/mnt/path/to/test & test'"), _disable_encode_stdoute_data=True, quote=False) def test_create( self, cmdbuilder_mock_avail_cmds): xrosfs = XrosFS(Mock(), cmdbuilder_mock_avail_cmds(), '/mnt') # Prepare dummy results xrosfs.shell.entry.return_value = EntryResult() xrosfs.chmod = Mock() xrosfs.open = Mock(return_value=20) # Test assert xrosfs.create('/path/to/test & test', 0x777, fi=None) == 20 xrosfs.shell.entry.assert_called_once_with( ('/usr/bin/touch', '--', '/mnt/path/to/test & test')) xrosfs.chmod.assert_called_once_with( '/path/to/test & test', 0x777) xrosfs.open.assert_called_once_with( '/path/to/test & test', os.O_WRONLY | os.O_CREAT) def test_read( self, cmdbuilder_mock_avail_cmds): xrosfs = XrosFS(Mock(), cmdbuilder_mock_avail_cmds(), '/mnt') # Prepare dummy results xrosfs.shell.entry.return_value = EntryResult('bar') # Test assert xrosfs.read('/path/to/test & test', 4096, 1, 22) == 'bar' xrosfs.shell.entry.assert_called_once_with( ('/bin/dd', 'status=noxfer', # busybox ver. # 'status=none', # coreutil ver. 'if=/dev/fd/22', 'bs=1', 'count=4096', 'skip=1'), stdout_to_str=False) def test_write( self, cmdbuilder_mock_avail_cmds): xrosfs = XrosFS(Mock(), cmdbuilder_mock_avail_cmds(), '/mnt') # Prepare dummy results xrosfs.shell.entry.return_value = EntryResult() # Test assert xrosfs.write('/path/to/test & test', 'bar', 1, 22) == 3 xrosfs.shell.entry.assert_called_once_with( ('/bin/dd', 'status=none', 'of=/dev/fd/22', 'bs=1', 'count=3', 'seek=1'), stdin_data='bar') def test_truncate( self, cmdbuilder_mock_avail_cmds): xrosfs = XrosFS(Mock(), cmdbuilder_mock_avail_cmds(), '/mnt') # Prepare dummy results xrosfs.shell.entry.return_value = EntryResult() # Test assert xrosfs.truncate('/path/to/test & test', 10) is None xrosfs.shell.entry.assert_called_once_with( ('/usr/bin/truncate', '-s', '10', '--', '/mnt/path/to/test & test')) def test_flush( self, cmdbuilder_mock_avail_cmds): xrosfs = XrosFS(Mock(), cmdbuilder_mock_avail_cmds(), '/mnt') # Prepare dummy results xrosfs.shell.entry.return_value = EntryResult() # Test assert xrosfs.flush('/path/to/test & test', 10) is 0 xrosfs.shell.entry.assert_called_once_with( ('/bin/dd', 'status=none', 'of=' + '/mnt/path/to/test & test', 'count=0', 'conv=notrunc', 'conv=fsync')) def test_close( self, cmdbuilder_mock_avail_cmds): xrosfs = XrosFS(Mock(), cmdbuilder_mock_avail_cmds(), '/mnt') # Prepare dummy results xrosfs.shell.entry.return_value = EntryResult() # Test assert xrosfs.release('/path/to/test & test', 22) is None xrosfs.shell.entry.assert_called_once_with( ('exec', '22>&-'), _disable_encode_stdoute_data=True, quote=False) def test_fsync( self, cmdbuilder_mock_avail_cmds): xrosfs = XrosFS(Mock(), cmdbuilder_mock_avail_cmds(), '/mnt') # Prepare dummy results xrosfs.shell.entry.return_value = EntryResult() # Test assert xrosfs.fsync('/path/to/test & test', None, 10) is 0 xrosfs.shell.entry.assert_called_once_with( ('/bin/dd', 'status=none', 'of=' + '/mnt/path/to/test & test', 'count=0', 'conv=notrunc', 'conv=fsync'))

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0.321721

27,269

779

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35.005135

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false

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0

null

0

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1

0

null

0

4

6de769873a25272ec99b9c089da5d0e0d40dd13a

57

py

Python

tests/testapp/tests/__init__.py

lentinj/django-newsletter-subscription

2c4bf083b70218cf0abd9d87a23edd90f9eca531

[ "BSD-3-Clause" ]

21

2015-02-12T12:31:18.000Z

2020-11-16T12:32:53.000Z

tests/testapp/tests/__init__.py

lentinj/django-newsletter-subscription

2c4bf083b70218cf0abd9d87a23edd90f9eca531

[ "BSD-3-Clause" ]

4

2016-02-02T20:03:34.000Z

2017-09-18T12:30:15.000Z

tests/testapp/tests/__init__.py

lentinj/django-newsletter-subscription

2c4bf083b70218cf0abd9d87a23edd90f9eca531

[ "BSD-3-Clause" ]

18

2015-06-05T14:21:46.000Z

2021-12-22T17:06:50.000Z

from .test_subscriptions import SubscriptionTest # noqa

28.5

56

0.842105

6

57

7.833333

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0

4

6df0b0a23e51dc178321cada6e0e9277fb164b20

24,343

py

Python

tests/unit/test_reconciler.py

PreetiKamble29/stacktach

f4f905393a0d7eaa226a72b6a27b61e4ef52211d

[ "Apache-2.0" ]

null

tests/unit/test_reconciler.py

PreetiKamble29/stacktach

f4f905393a0d7eaa226a72b6a27b61e4ef52211d

[ "Apache-2.0" ]

4

2020-02-28T10:27:34.000Z

2022-02-02T01:13:09.000Z

tests/unit/test_reconciler.py

PreetiKamble29/stacktach

f4f905393a0d7eaa226a72b6a27b61e4ef52211d

[ "Apache-2.0" ]

null

# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you 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 datetime import mox import requests from stacktach import models from stacktach import reconciler from stacktach import utils as stackutils from stacktach.reconciler import exceptions from stacktach.reconciler import nova from stacktach.reconciler import utils as rec_utils from tests.unit import StacktachBaseTestCase from tests.unit import utils from tests.unit.utils import INSTANCE_ID_1, INSTANCE_TYPE_ID_1 from tests.unit.utils import INSTANCE_FLAVOR_ID_1 from tests.unit.utils import TENANT_ID_1 region_mapping = { 'RegionOne.prod.cell1': 'RegionOne', 'RegionTwo.prod.cell1': 'RegionTwo', } DEFAULT_OS_ARCH = 'os_arch' DEFAULT_OS_DISTRO = 'os_dist' DEFAULT_OS_VERSION = "1.1" DEFAULT_RAX_OPTIONS = "rax_ops" class ReconcilerTestCase(StacktachBaseTestCase): def setUp(self): self.mox = mox.Mox() self.client = self.mox.CreateMockAnything() self.client.src_str = 'mocked_client' self.reconciler = reconciler.Reconciler({}, client=self.client, region_mapping=region_mapping) self.mox.StubOutWithMock(models, 'RawData', use_mock_anything=True) models.RawData.objects = self.mox.CreateMockAnything() self.mox.StubOutWithMock(models, 'Deployment', use_mock_anything=True) models.Deployment.objects = self.mox.CreateMockAnything() self.mox.StubOutWithMock(models, 'Lifecycle', use_mock_anything=True) models.Lifecycle.objects = self.mox.CreateMockAnything() self.mox.StubOutWithMock(models, 'Timing', use_mock_anything=True) models.Timing.objects = self.mox.CreateMockAnything() self.mox.StubOutWithMock(models, 'RequestTracker', use_mock_anything=True) models.RequestTracker.objects = self.mox.CreateMockAnything() self.mox.StubOutWithMock(models, 'InstanceUsage', use_mock_anything=True) models.InstanceUsage.objects = self.mox.CreateMockAnything() self.mox.StubOutWithMock(models, 'InstanceReconcile', use_mock_anything=True) models.InstanceReconcile.objects = self.mox.CreateMockAnything() self.mox.StubOutWithMock(models, 'InstanceDeletes', use_mock_anything=True) models.InstanceDeletes.objects = self.mox.CreateMockAnything() self.mox.StubOutWithMock(models, 'InstanceExists', use_mock_anything=True) models.InstanceExists.objects = self.mox.CreateMockAnything() self.mox.StubOutWithMock(models, 'JsonReport', use_mock_anything=True) models.JsonReport.objects = self.mox.CreateMockAnything() def tearDown(self): self.mox.UnsetStubs() def _fake_usage(self, is_exists=False, is_deleted=False, mock_deployment=False): usage = self.mox.CreateMockAnything() usage.id = 1 beginning_d = utils.decimal_utc() usage.instance = INSTANCE_ID_1 launched_at = beginning_d - (60*60) usage.launched_at = launched_at usage.instance_type_id = INSTANCE_TYPE_ID_1 usage.instance_flavor_id = INSTANCE_FLAVOR_ID_1 usage.tenant = TENANT_ID_1 usage.os_architecture = DEFAULT_OS_ARCH usage.os_distro = DEFAULT_OS_DISTRO usage.os_version = DEFAULT_OS_VERSION usage.rax_options = DEFAULT_RAX_OPTIONS if is_exists: usage.deleted_at = None if is_deleted: usage.deleted_at = beginning_d if mock_deployment: deployment = self.mox.CreateMockAnything() deployment.name = 'RegionOne.prod.cell1' usage.deployment().AndReturn(deployment) return usage def _fake_reconciler_instance(self, uuid=INSTANCE_ID_1, launched_at=None, deleted_at=None, deleted=False, instance_type_id=INSTANCE_TYPE_ID_1, instance_flavor_id=INSTANCE_FLAVOR_ID_1, tenant=TENANT_ID_1, os_arch=DEFAULT_OS_ARCH, os_distro=DEFAULT_OS_DISTRO, os_verison=DEFAULT_OS_VERSION, rax_options=DEFAULT_RAX_OPTIONS): instance = rec_utils.empty_reconciler_instance() instance.update({ 'id': uuid, 'launched_at': launched_at, 'deleted_at': deleted_at, 'deleted': deleted, 'instance_type_id': instance_type_id, 'instance_flavor_id': instance_flavor_id, 'tenant': tenant, 'os_architecture': os_arch, 'os_distro': os_distro, 'os_version': os_verison, 'rax_options': rax_options, }) return instance def test_load_client_json_bridge(self): mock_config = self.mox.CreateMockAnything() config = {'client_class': 'JSONBridgeClient', 'client': mock_config} nova.JSONBridgeClient(mock_config) self.mox.ReplayAll() reconciler.Reconciler.load_client(config) self.mox.VerifyAll() def test_load_client_no_class_loads_default_class(self): mock_config = self.mox.CreateMockAnything() config = {'client': mock_config} nova.JSONBridgeClient(mock_config) self.mox.ReplayAll() reconciler.Reconciler.load_client(config) self.mox.VerifyAll() def test_load_client_incorrect_class_loads_default_class(self): mock_config = self.mox.CreateMockAnything() config = {'client_class': 'BadConfigValue', 'client': mock_config} nova.JSONBridgeClient(mock_config) self.mox.ReplayAll() reconciler.Reconciler.load_client(config) self.mox.VerifyAll() def test_region_for_launch(self): launch = self.mox.CreateMockAnything() deployment = self.mox.CreateMockAnything() deployment.name = 'RegionOne.prod.cell1' launch.deployment().AndReturn(deployment) self.mox.ReplayAll() region = self.reconciler._region_for_usage(launch) self.assertEqual('RegionOne', region) self.mox.VerifyAll() def test_region_for_launch_no_mapping(self): launch = self.mox.CreateMockAnything() deployment = self.mox.CreateMockAnything() deployment.name = 'RegionOne.prod.cell2' launch.deployment().AndReturn(deployment) self.mox.ReplayAll() region = self.reconciler._region_for_usage(launch) self.assertFalse(region) self.mox.VerifyAll() def test_region_for_launch_no_raws(self): launch = self.mox.CreateMockAnything() launch.deployment() self.mox.ReplayAll() region = self.reconciler._region_for_usage(launch) self.assertFalse(region) self.mox.VerifyAll() def test_missing_exists_for_instance(self): launch = self._fake_usage(mock_deployment=True) launched_at = launch.launched_at deleted_at = launched_at + (60*30) period_beginning = deleted_at + 1 models.InstanceUsage.objects.get(id=launch.id).AndReturn(launch) rec_inst = self._fake_reconciler_instance(deleted=True, deleted_at=deleted_at) self.client.get_instance('RegionOne', INSTANCE_ID_1).AndReturn(rec_inst) reconcile_vals = { 'instance': launch.instance, 'launched_at': launch.launched_at, 'deleted_at': deleted_at, 'instance_type_id': launch.instance_type_id, 'instance_flavor_id': launch.instance_flavor_id, 'source': 'reconciler:mocked_client', 'tenant': TENANT_ID_1, 'os_architecture': DEFAULT_OS_ARCH, 'os_distro': DEFAULT_OS_DISTRO, 'os_version': DEFAULT_OS_VERSION, 'rax_options': DEFAULT_RAX_OPTIONS, } result = self.mox.CreateMockAnything() models.InstanceReconcile(**reconcile_vals).AndReturn(result) result.save() self.mox.ReplayAll() result = self.reconciler.missing_exists_for_instance(launch.id, period_beginning) self.assertTrue(result) self.mox.VerifyAll() def test_missing_exists_for_instance_not_found(self): launch_id = 1 beginning_d = utils.decimal_utc() launch = self.mox.CreateMockAnything() launch.instance = INSTANCE_ID_1 launch.launched_at = beginning_d - (60*60) launch.instance_flavor_id = INSTANCE_FLAVOR_ID_1 models.InstanceUsage.objects.get(id=launch_id).AndReturn(launch) deployment = self.mox.CreateMockAnything() launch.deployment().AndReturn(deployment) deployment.name = 'RegionOne.prod.cell1' ex = exceptions.NotFound() self.client.get_instance('RegionOne', INSTANCE_ID_1).AndRaise(ex) self.mox.ReplayAll() result = self.reconciler.missing_exists_for_instance(launch_id, beginning_d) self.assertFalse(result) self.mox.VerifyAll() def test_missing_exists_for_instance_region_not_found(self): launch_id = 1 beginning_d = utils.decimal_utc() launch = self.mox.CreateMockAnything() launch.instance = INSTANCE_FLAVOR_ID_1 launch.launched_at = beginning_d - (60*60) launch.instance_flavor_id = 1 models.InstanceUsage.objects.get(id=launch_id).AndReturn(launch) launch.deployment().AndReturn(None) self.mox.ReplayAll() result = self.reconciler.missing_exists_for_instance(launch_id, beginning_d) self.assertFalse(result) self.mox.VerifyAll() def test_failed_validation(self): exists = self._fake_usage(is_exists=True, mock_deployment=True) launched_at = exists.launched_at rec_inst = self._fake_reconciler_instance(launched_at=launched_at) self.client.get_instance('RegionOne', INSTANCE_ID_1, get_metadata=True).AndReturn(rec_inst) reconcile_vals = { 'instance': exists.instance, 'launched_at': exists.launched_at, 'deleted_at': exists.deleted_at, 'instance_type_id': exists.instance_type_id, 'instance_flavor_id': exists.instance_flavor_id, 'source': 'reconciler:mocked_client', 'tenant': TENANT_ID_1, 'os_architecture': DEFAULT_OS_ARCH, 'os_distro': DEFAULT_OS_DISTRO, 'os_version': DEFAULT_OS_VERSION, 'rax_options': DEFAULT_RAX_OPTIONS, } result = self.mox.CreateMockAnything() models.InstanceReconcile(**reconcile_vals).AndReturn(result) result.save() self.mox.ReplayAll() result = self.reconciler.failed_validation(exists) self.assertTrue(result) self.mox.VerifyAll() def test_failed_validation_deleted(self): exists = self._fake_usage(is_exists=True, is_deleted=True, mock_deployment=True) launched_at = exists.launched_at deleted_at = exists.deleted_at rec_inst = self._fake_reconciler_instance(launched_at=launched_at, deleted=True, deleted_at=deleted_at) self.client.get_instance('RegionOne', INSTANCE_ID_1, get_metadata=True).AndReturn(rec_inst) reconcile_vals = { 'instance': exists.instance, 'launched_at': exists.launched_at, 'deleted_at': exists.deleted_at, 'instance_type_id': exists.instance_type_id, 'instance_flavor_id': exists.instance_flavor_id, 'source': 'reconciler:mocked_client', 'tenant': TENANT_ID_1, 'os_architecture': DEFAULT_OS_ARCH, 'os_distro': DEFAULT_OS_DISTRO, 'os_version': DEFAULT_OS_VERSION, 'rax_options': DEFAULT_RAX_OPTIONS, } result = self.mox.CreateMockAnything() models.InstanceReconcile(**reconcile_vals).AndReturn(result) result.save() self.mox.ReplayAll() result = self.reconciler.failed_validation(exists) self.assertTrue(result) self.mox.VerifyAll() def test_failed_validation_deleted_not_matching(self): beginning_d = utils.decimal_utc() exists = self.mox.CreateMockAnything() exists.instance = INSTANCE_ID_1 launched_at = beginning_d - (60*60) exists.launched_at = launched_at exists.instance_flavor_id = INSTANCE_FLAVOR_ID_1 exists.deleted_at = beginning_d deployment = self.mox.CreateMockAnything() exists.deployment().AndReturn(deployment) deployment.name = 'RegionOne.prod.cell1' rec_inst = self._fake_reconciler_instance(launched_at=launched_at, deleted=True, deleted_at=beginning_d+1) self.client.get_instance('RegionOne', INSTANCE_ID_1, get_metadata=True).AndReturn(rec_inst) self.mox.ReplayAll() result = self.reconciler.failed_validation(exists) self.assertFalse(result) self.mox.VerifyAll() def test_failed_validation_deleted_not_deleted_from_client(self): beginning_d = utils.decimal_utc() exists = self.mox.CreateMockAnything() exists.instance = INSTANCE_ID_1 launched_at = beginning_d - (60*60) exists.launched_at = launched_at exists.instance_flavor_id = INSTANCE_FLAVOR_ID_1 exists.deleted_at = beginning_d deployment = self.mox.CreateMockAnything() exists.deployment().AndReturn(deployment) deployment.name = 'RegionOne.prod.cell1' rec_inst = self._fake_reconciler_instance(launched_at=launched_at) self.client.get_instance('RegionOne', INSTANCE_ID_1, get_metadata=True).AndReturn(rec_inst) self.mox.ReplayAll() result = self.reconciler.failed_validation(exists) self.assertFalse(result) self.mox.VerifyAll() def test_failed_validation_not_found(self): beginning_d = utils.decimal_utc() exists = self.mox.CreateMockAnything() exists.instance = INSTANCE_ID_1 launched_at = beginning_d - (60*60) exists.launched_at = launched_at exists.instance_flavor_id = INSTANCE_FLAVOR_ID_1 exists.deleted_at = None deployment = self.mox.CreateMockAnything() exists.deployment().AndReturn(deployment) deployment.name = 'RegionOne.prod.cell1' ex = exceptions.NotFound() self.client.get_instance('RegionOne', INSTANCE_ID_1, get_metadata=True).AndRaise(ex) self.mox.ReplayAll() result = self.reconciler.failed_validation(exists) self.assertFalse(result) self.mox.VerifyAll() def test_failed_validation_region_not_found(self): beginning_d = utils.decimal_utc() exists = self.mox.CreateMockAnything() exists.instance = INSTANCE_ID_1 launched_at = beginning_d - (60*60) exists.launched_at = launched_at exists.instance_flavor_id = INSTANCE_FLAVOR_ID_1 exists.deleted_at = None exists.deployment().AndReturn(None) ex = exceptions.NotFound() self.mox.ReplayAll() result = self.reconciler.failed_validation(exists) self.assertFalse(result) self.mox.VerifyAll() def test_fields_match(self): exists = self._fake_usage(is_exists=True) kwargs = {'launched_at': exists.launched_at} instance = self._fake_reconciler_instance(**kwargs) self.mox.ReplayAll() match_code = self.reconciler._fields_match(exists, instance) self.assertEqual(match_code, 0) self.mox.VerifyAll() def test_fields_match_field_with_deleted(self): exists = self._fake_usage(is_exists=True, is_deleted=True) kwargs = {'launched_at': exists.launched_at, 'deleted': True, 'deleted_at': exists.deleted_at} instance = self._fake_reconciler_instance(**kwargs) self.mox.ReplayAll() match_code = self.reconciler._fields_match(exists, instance) self.assertEqual(match_code, 0) self.mox.VerifyAll() def test_fields_match_field_miss_match(self): exists = self._fake_usage(is_exists=True) kwargs = {'launched_at': exists.launched_at + 1} instance = self._fake_reconciler_instance(**kwargs) self.mox.ReplayAll() match_code = self.reconciler._fields_match(exists, instance) self.assertEqual(match_code, 1) self.mox.VerifyAll() def test_fields_match_field_with_deleted_miss_match(self): exists = self._fake_usage(is_exists=True, is_deleted=True) kwargs = {'launched_at': exists.launched_at, 'deleted': True, 'deleted_at': exists.deleted_at+1} instance = self._fake_reconciler_instance(**kwargs) self.mox.ReplayAll() match_code = self.reconciler._fields_match(exists, instance) self.assertEqual(match_code, 2) self.mox.VerifyAll() def test_fields_match_field_not_deleted_in_nova(self): exists = self._fake_usage(is_exists=True, is_deleted=True) kwargs = {'launched_at': exists.launched_at} instance = self._fake_reconciler_instance(**kwargs) self.mox.ReplayAll() match_code = self.reconciler._fields_match(exists, instance) self.assertEqual(match_code, 3) self.mox.VerifyAll() def test_fields_match_field_not_deleted_in_exists(self): exists = self._fake_usage(is_exists=True) kwargs = {'launched_at': exists.launched_at, 'deleted': True, 'deleted_at': exists.launched_at + 1} instance = self._fake_reconciler_instance(**kwargs) self.mox.ReplayAll() match_code = self.reconciler._fields_match(exists, instance) self.assertEqual(match_code, 4) self.mox.VerifyAll() json_bridge_config = { 'url': 'http://json_bridge.example.com/query/', 'username': 'user', 'password': 'pass', 'databases': { 'RegionOne': 'nova', } } class NovaJSONBridgeClientTestCase(StacktachBaseTestCase): def setUp(self): self.mox = mox.Mox() self.client = nova.JSONBridgeClient(json_bridge_config) self.mox.StubOutWithMock(requests, 'post') def tearDown(self): self.mox.UnsetStubs() def mock_for_query(self, database, query, results): url = json_bridge_config['url'] + database data = {'sql': query} auth = (json_bridge_config['username'], json_bridge_config['password']) result = {'result': results} response = self.mox.CreateMockAnything() requests.post(url, data, auth=auth, verify=False)\ .AndReturn(response) response.json().AndReturn(result) def _fake_instance(self, uuid=INSTANCE_ID_1, launched_at=None, terminated_at=None, deleted=0, instance_type_id=INSTANCE_TYPE_ID_1, instance_flavor_id=INSTANCE_FLAVOR_ID_1, project_id=TENANT_ID_1): return { 'uuid': uuid, 'launched_at': launched_at, 'terminated_at': terminated_at, 'deleted': deleted, 'instance_type_id': instance_type_id, 'flavorid': instance_flavor_id, 'project_id': project_id } def test_get_instance(self): launched_at = datetime.datetime.utcnow() - datetime.timedelta(minutes=5) launched_at = str(launched_at) terminated_at = str(datetime.datetime.utcnow()) results = [self._fake_instance(launched_at=launched_at, terminated_at=terminated_at, deleted=True)] self.mock_for_query('nova', nova.GET_INSTANCE_QUERY % INSTANCE_ID_1, results) self.mox.ReplayAll() instance = self.client.get_instance('RegionOne', INSTANCE_ID_1) self.assertIsNotNone(instance) self.assertEqual(instance['id'], INSTANCE_ID_1 ) self.assertEqual(instance['instance_type_id'], INSTANCE_TYPE_ID_1) self.assertEqual(instance['instance_flavor_id'], INSTANCE_FLAVOR_ID_1) launched_at_dec = stackutils.str_time_to_unix(launched_at) self.assertEqual(instance['launched_at'], launched_at_dec) terminated_at_dec = stackutils.str_time_to_unix(terminated_at) self.assertEqual(instance['deleted_at'], terminated_at_dec) self.assertTrue(instance['deleted']) self.mox.VerifyAll() def _fake_metadata(self): metadata = [ {'key': 'image_org.openstack__1__architecture', 'value': DEFAULT_OS_ARCH}, {'key': 'image_org.openstack__1__os_distro', 'value': DEFAULT_OS_DISTRO}, {'key': 'image_org.openstack__1__os_version', 'value': DEFAULT_OS_VERSION}, {'key': 'image_com.rackspace__1__options', 'value': DEFAULT_RAX_OPTIONS}, ] return metadata def test_get_instance_with_metadata(self): launched_at = datetime.datetime.utcnow() - datetime.timedelta(minutes=5) launched_at = str(launched_at) terminated_at = str(datetime.datetime.utcnow()) results = [self._fake_instance(launched_at=launched_at, terminated_at=terminated_at, deleted=True)] metadata_results = self._fake_metadata() self.mock_for_query('nova', nova.GET_INSTANCE_QUERY % INSTANCE_ID_1, results) self.mock_for_query('nova', nova.GET_INSTANCE_SYSTEM_METADATA % INSTANCE_ID_1, metadata_results) self.mox.ReplayAll() instance = self.client.get_instance('RegionOne', INSTANCE_ID_1, get_metadata=True) self.assertIsNotNone(instance) self.assertEqual(instance['id'], INSTANCE_ID_1) self.assertEqual(instance['instance_flavor_id'], INSTANCE_FLAVOR_ID_1) launched_at_dec = stackutils.str_time_to_unix(launched_at) self.assertEqual(instance['launched_at'], launched_at_dec) terminated_at_dec = stackutils.str_time_to_unix(terminated_at) self.assertEqual(instance['deleted_at'], terminated_at_dec) self.assertTrue(instance['deleted']) self.mox.VerifyAll() def test_get_instance_not_found(self): self.mock_for_query('nova', nova.GET_INSTANCE_QUERY % INSTANCE_ID_1, []) self.mox.ReplayAll() self.assertRaises(exceptions.NotFound, self.client.get_instance, 'RegionOne', INSTANCE_ID_1) self.mox.VerifyAll()

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80

0.640595

2,648

24,343

5.574396

0.089124

0.046474

0.059278

0.028318

0.775015

0.739381

0.722241

0.701375

0.654359

0.62218

0

0.006628

0.268701

24,343

553

81

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0.822548

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0.070677

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0

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1

0.066532

false

0.004032

0.028226

0.002016

0.106855

0

null

0

1

0

1

0

null

0

4

6dffe9a937643aa95aa125ea9eb37401119b2596

310

py

Python

api/converter.py

Abhi-nab/Ed-Flix

6c19ac19d240455e08dacb435e23b0438f188983

[ "MIT" ]

6

2021-02-28T06:12:22.000Z

2021-02-28T19:13:00.000Z

api/converter.py

Abhi-nab/Ed-Flix

6c19ac19d240455e08dacb435e23b0438f188983

[ "MIT" ]

3

2021-02-27T21:36:43.000Z

2021-03-01T14:53:53.000Z

api/converter.py

Abhi-nab/Ed-Flix

6c19ac19d240455e08dacb435e23b0438f188983

[ "MIT" ]

9

2020-11-20T07:24:02.000Z

2021-05-02T06:01:07.000Z

def longToSizeString(longVal): if longVal >= 1073741824 : return str(round(longVal/1073741824,2))+"GB" elif longVal >= 1048576: return str(round(longVal/1048576,2)) + "MB" elif longVal >= 1024: return str(round(longVal/1024,2))+"KB" else: return str(longVal)+"B"

34.444444

52

0.619355

38

310

5.052632

0.447368

0.1875

0.21875

0.328125

0

0.189873

0.235484

310

9

53

34.444444

0.620253

0

0.022508

0

1

0.111111

false

0

0.555556

0

null

0

1

0

1

0

null

0

1

0

4

097a77dcda524305d788848b1f993a7115c1cb93

243

py

Python

django_contact_form_project/contacts/forms.py

prontointern/django-contact-form

cfbaeafce40910f8afeee8c5cd14c2e3ae2c7cbc

[ "MIT" ]

null

django_contact_form_project/contacts/forms.py

prontointern/django-contact-form

cfbaeafce40910f8afeee8c5cd14c2e3ae2c7cbc

[ "MIT" ]

null

django_contact_form_project/contacts/forms.py

prontointern/django-contact-form

cfbaeafce40910f8afeee8c5cd14c2e3ae2c7cbc

[ "MIT" ]

null

from django import forms class ContactForm(forms.Form): firstname = forms.CharField(max_length=100, required=True) lastname = forms.CharField(max_length=100, required=True) email = forms.EmailField(max_length=100, required=True)

30.375

62

0.765432

32

243

5.71875

0.53125

0.147541

0.196721

0.327869

0.546448

0.415301

0

0.042654

0.131687

243

7

63

34.714286

0.824645

0

1

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false

0

0.2

0

1

0

null

0

1

0

1

0

null

0

1

0

4

09a4d68b60431611af76b5fce501a689632cc1fe

74

py

Python

__init__.py

groceryheist/ores_bias_project

b887206a6de3c768275ab4b326d7b39e7ed63ed2

[ "MIT" ]

2

2020-04-24T13:53:05.000Z

2020-10-06T23:57:06.000Z

__init__.py

groceryheist/ores_bias_project

b887206a6de3c768275ab4b326d7b39e7ed63ed2

[ "MIT" ]

null

__init__.py

groceryheist/ores_bias_project

b887206a6de3c768275ab4b326d7b39e7ed63ed2

[ "MIT" ]

null

from .confidence_levels import ORESConfidenceLevel, dmg_levels, gf_levels

37

73

0.878378

9

74

6.888889

0.777778

0

0.081081

74

1

74

0.911765

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

09ad63edba2aedb8664c7317e93e71d4a809ceca

168

py

Python

wandb/integration/tensorboard/__init__.py

borisgrafx/client

c079f7816947a3092b500751eb920fda3866985f

[ "MIT" ]

null

wandb/integration/tensorboard/__init__.py

borisgrafx/client

c079f7816947a3092b500751eb920fda3866985f

[ "MIT" ]

null

wandb/integration/tensorboard/__init__.py

borisgrafx/client

c079f7816947a3092b500751eb920fda3866985f

[ "MIT" ]

null

""" wandb integration tensorboard module. """ from .monkeypatch import patch, unpatch from .log import _log, log, tf_summary_to_dict, reset_state __all__ = ["patch"]

18.666667

59

0.755952

22

168

5.363636

0.772727

0

0.136905

168

8

60

21

0.813793

0.220238

0

0.04065

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

09af9358b7d3e4897675f7b44514a5c7ae5bebd8

249

py

Python

pycollocation/basis_functions/basis_functions.py

davidrpugh/bvp-solver

9376f3488a992dc416cfd2a4dbb396d094927569

[ "MIT" ]

16

2015-10-23T15:54:51.000Z

2021-06-23T15:31:17.000Z

pycollocation/basis_functions/basis_functions.py

davidrpugh/bvp-solver

9376f3488a992dc416cfd2a4dbb396d094927569

[ "MIT" ]

36

2015-03-26T15:35:39.000Z

2016-09-13T06:36:55.000Z

pycollocation/basis_functions/basis_functions.py

davidrpugh/bvp-solver

9376f3488a992dc416cfd2a4dbb396d094927569

[ "MIT" ]

8

2015-04-08T12:45:32.000Z

2021-07-19T08:56:50.000Z

class BasisFunctionLike(object): @classmethod def derivatives_factory(cls, coef, *args, **kwargs): raise NotImplementedError @classmethod def functions_factory(cls, coef, *args, **kwargs): raise NotImplementedError

24.9

56

0.698795

23

249

7.478261

0.608696

0.162791

0.209302

0.55814

0

0.208835

249

9

57

27.666667

0.873096

0

0.571429

0

1

0.285714

false

0

0.428571

0

1

0

null

0

1

0

1

0

null

0

1

0

4

09bbc81bc1bfb680912da5409575ad0a4222f0d2

166

py

Python

desafio010.py

EdnaMota/python3_estudos

78fd4cf0063329d02b1e8b6f0094679e8922d5d7

[ "MIT" ]

null

desafio010.py

EdnaMota/python3_estudos

78fd4cf0063329d02b1e8b6f0094679e8922d5d7

[ "MIT" ]

null

desafio010.py

EdnaMota/python3_estudos

78fd4cf0063329d02b1e8b6f0094679e8922d5d7

[ "MIT" ]

null

d = float(input('Quanto dinheiro você tem na carteira? R$ ')) print(f'Com {d:.2f} você pode comprar US$ {d / 5.39:.2f} dólares americanos e € {d / 6.15:.2f} euros.')

83

103

0.644578

32

166

3.375

0.8125

0

0.064748

0.162651

166

2

103

83

0.705036

0

0.5

0.807229

0

1

0

false

0

0.5

0

null

0

1

0

1

0

null

0

1

0

4

09d223d88ee706676bcb6c66427380662ce6c4a2

2,035

py

Python

tests/test_yaml_configs.py

tangzhoutz/pyconf

2f43280be0cbcf140f66bfc8b9ddb6dd33d8e257

[ "MIT" ]

4

2018-04-08T03:35:16.000Z

2022-01-13T14:09:14.000Z

tests/test_yaml_configs.py

Microndgt/pyconf

2f43280be0cbcf140f66bfc8b9ddb6dd33d8e257

[ "MIT" ]

1

2021-03-25T22:53:33.000Z

tests/test_yaml_configs.py

tangzhoutz/pyconf

2f43280be0cbcf140f66bfc8b9ddb6dd33d8e257

[ "MIT" ]

1

2019-09-30T02:21:18.000Z

import unittest from pyconf import api, YamlConfig, Section from typing import Sequence class TestPyConfig(unittest.TestCase): def setUp(self): self.sample_config_filename = 'tests/sample.yml' self.missing_config_filename = 'missing.yml' def test_load_general(self): """Check if a valid config file is parsed correctly""" self.assertIsInstance(api.load(self.sample_config_filename, config_class=YamlConfig), YamlConfig) def test_load_missing_file(self): """Check if the correct exception in raised when a missing config file is attempted to parse""" with self.assertRaises(FileNotFoundError): api.load(self.missing_config_filename) def test_load_check_types(self): """Check automatic float, integer, and boolean value conversion""" config_data = api.load(self.sample_config_filename, config_class=YamlConfig) self.assertIsInstance(config_data['path'], str) self.assertIsInstance(config_data['hosts'], Sequence) self.assertIsInstance(config_data['hosts'][0], str) self.assertIsInstance(config_data['section'], Section) self.assertIsInstance(config_data['section']['attr1'], float) self.assertIsInstance(config_data['section']['attr2'], int) self.assertIsInstance(config_data['section']['foo'], int) self.assertIsInstance(config_data['section2'], Section) self.assertIsInstance(config_data['section2']['attr1'], float) self.assertIsInstance(config_data['section2']['attr2'], int) self.assertIsInstance(config_data['section2']['foo'], int) self.assertIsInstance(config_data['section2']['inner_section'], Section) self.assertIsInstance(config_data['section2']['inner_section']['two'], int) self.assertIsInstance(config_data['section2']['inner_section']['test_section'], Section) self.assertIsInstance(config_data['section2']['inner_section']['test_section'][1], int) if __name__ == '__main__': unittest.main()

42.395833

105

0.7086

231

2,035

6.025974

0.294372

0.229885

0.280172

0.323276

0.561063

0.46408

0.282328

0.248563

0.213362

0

0.008235

0.164619

2,035

47

106

43.297872

0.810588

0.097789

0

0.135165

0

0.548387

1

0.129032

false

0

0.096774

0

0.258065

0

null

1

0

null

0

1

0

4

09e5dc0b7bac82251241671f27a75674fa26e6fa

887

py

Python

tests/test_regular_array.py

AndrewKirby2/data_synthesis

656858137a348fd5dcb57bcd04bdfece2b9eac1b

[ "MIT" ]

null

tests/test_regular_array.py

AndrewKirby2/data_synthesis

656858137a348fd5dcb57bcd04bdfece2b9eac1b

[ "MIT" ]

null

tests/test_regular_array.py

AndrewKirby2/data_synthesis

656858137a348fd5dcb57bcd04bdfece2b9eac1b

[ "MIT" ]

null

import numpy as np import numpy.testing as npt from regular_array_sampling.functions import find_important_turbines def test_closest_turbines_calc(): """Test that find_important_turbines correctly calculates the coordinates of the closest turbines """ test_answer = np.array([6, 0, 12, 0, 18, 0]) npt.assert_array_equal(find_important_turbines(6,6,0,0), test_answer) npt.assert_array_almost_equal(find_important_turbines(6,6,0,np.pi/2), test_answer) test_answer = np.array([6, 1.5, 12, 3, 12, -6]) npt.assert_array_equal(find_important_turbines(6,9,1.5,0), test_answer) test_answer = np.array([3, 0, 6, 0, 9, 0]) npt.assert_array_almost_equal(find_important_turbines(6, 3, 0, np.pi/2), test_answer) test_answer = np.array([6*np.cos(0.1), -6*np.sin(0.1)]) npt.assert_array_almost_equal(find_important_turbines(6,6,0,0.1)[:2], test_answer)

49.277778

89

0.736189

156

887

3.923077

0.25641

0.147059

0.240196

0.212418

0.560458

0.531046

0.486928

0.346405

0.269608

0

0.067445

0.130778

887

18

90

49.277778

0.726329

0.105975

0

0.384615

1

0.076923

false

0

0.615385

0

0.692308

0

null

0

1

0

null

0

1

0

1

0

4

61dad08aef9a396a952f8c3eeff6acc8f7ab7b88

817

py

Python

examples/core.py

alex-kalanis/kw_input

ac7beddadc5e766d7b4921352a472abcea6e16cf

[ "BSD-3-Clause" ]

null

examples/core.py

alex-kalanis/kw_input

ac7beddadc5e766d7b4921352a472abcea6e16cf

[ "BSD-3-Clause" ]

null

examples/core.py

alex-kalanis/kw_input

ac7beddadc5e766d7b4921352a472abcea6e16cf

[ "BSD-3-Clause" ]

null

# example core loads from kw_input.input import Inputs from kw_input.sources import ISource class Core1: def __init__(self): self._inputs = None # ... def set_inputs(self, inputs: Inputs): self._inputs = inputs # ... class Core2: def __init__(self, cli_args=None): self._inputs = Inputs(Basic()) self._inputs.set_source(cli_args).load_entries() # ... # ... class Basic(ISource): """ * Source of values to parse and use * each method returns a dict or compatible tuple """ def get(self): return None def post(self): return None def files(self): return None def session(self): return None def server(self): return None def env(self): return None

15.415094

56

0.582619

100

817

4.57

0.45

0.091904

0.183807

0.185996

0

0.003597

0.319461

817

52

57

15.711538

0.818345

0.146879

0

0.25

0

1

0.375

false

0

0.083333

0.25

0.833333

0

null

0

1

0

null

0

1

0

1

0

4

61f6bb2d05a47399298b630780e45800d6ce8b29

21

py

Python

test/login.py

1409sk/test001

6105addc6452ee87b78b9a8e6445b118fa4dd504

[ "MIT" ]

null

test/login.py

1409sk/test001

6105addc6452ee87b78b9a8e6445b118fa4dd504

[ "MIT" ]

null

test/login.py

1409sk/test001

6105addc6452ee87b78b9a8e6445b118fa4dd504

[ "MIT" ]

null

print('hehe') num=1

5.25

13

0.619048

4

21

3.25

1

0

0.055556

0.142857

21

3

14

7

0.666667

0

0.2

0

1

0

false

0

0.5

1

0

null

0

1

0

null

0

1

0

4

61f7da46f11171b573b8876decb0a9d1bab78667

268

py

Python

lino_cosi/lib/__init__.py

khchine5/cosi

808d71cc4d709fbab0d2d598d069dfc749b235b6

[ "BSD-2-Clause" ]

null

lino_cosi/lib/__init__.py

khchine5/cosi

808d71cc4d709fbab0d2d598d069dfc749b235b6

[ "BSD-2-Clause" ]

null

lino_cosi/lib/__init__.py

khchine5/cosi

808d71cc4d709fbab0d2d598d069dfc749b235b6

[ "BSD-2-Clause" ]

null

# -*- coding: UTF-8 -*- # Copyright 2013-2017 Luc Saffre # License: BSD (see file COPYING for details) """ Plugins ======= .. autosummary:: :toctree: cosi contacts b2c Not used ======== .. autosummary:: :toctree: orders delivery """

9.571429

45

0.55597

27

268

5.518519

0.925926

0.241611

0

0.050761

0.264925

268

27

46

9.925926

0.705584

0.932836

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

1

0

1

0

null

0

1

0

4

113c3fe7ab5f7acdc253ad854545bf4b976bab19

120

py

Python

tracktotrip/__init__.py

dserafim1999/TrackToTrip

339da58db6e09053f44a576868f9c95cb061575f

[ "MIT" ]

39

2016-06-01T14:47:08.000Z

2021-12-21T07:42:18.000Z

tracktotrip/__init__.py

dserafim1999/TrackToTrip

339da58db6e09053f44a576868f9c95cb061575f

[ "MIT" ]

9

2016-05-05T09:10:52.000Z

2020-10-29T11:35:44.000Z

tracktotrip/__init__.py

dserafim1999/TrackToTrip

339da58db6e09053f44a576868f9c95cb061575f

[ "MIT" ]

14

2017-01-15T16:15:12.000Z

2021-09-24T09:53:30.000Z

""" Export most common entry points """ from .point import Point from .track import Track from .segment import Segment

15

31

0.758333

17

120

5.352941

0.588235

0

0.166667

120

7

32

17.142857

0.91

0.258333

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

1156f0677f55fe62a2432dd605847e245f582271

236

py

Python

slos/test/mocks/cinder/volume/utils.py

softlayer/softlayer-cinder-driver

465c2a15b7692f9fa1171a212fe162a990267e62

[ "MIT" ]

2

2016-04-19T14:08:47.000Z

2016-05-30T02:57:19.000Z

slos/test/mocks/cinder/volume/utils.py

softlayer/softlayer-cinder-driver

465c2a15b7692f9fa1171a212fe162a990267e62

[ "MIT" ]

1

2015-02-23T09:32:25.000Z

slos/test/mocks/cinder/volume/utils.py

softlayer/softlayer-cinder-driver

465c2a15b7692f9fa1171a212fe162a990267e62

[ "MIT" ]

1

2016-04-19T14:17:13.000Z

#!/usr/bin/python from mock import MagicMock class Utils: copy_volume = MagicMock() def reset_mocks(self): from mock import MagicMock self.copy_volume = MagicMock() import sys sys.modules[__name__] = Utils()

16.857143

38

0.686441

30

236

5.166667

0.6

0.103226

0.180645

0.296774

0

0.220339

236

13

39

18.153846

0.842391

0.067797

0

0.25

0

1

0.125

false

0

0.375

0

0.75

0

null

0

1

0

null

0

1

0

1

0

4

11674961d7e9eb7daeb73c22c39e24a8c9496832

125

py

Python

scripts/test_scan.py

sodaplayer/approxeng.input

c08dd789d8435a73e776422ad50ffeecb1d7dd2f

[ "Apache-2.0" ]

51

2017-04-10T15:09:56.000Z

2022-03-16T19:16:08.000Z

scripts/test_scan.py

sodaplayer/approxeng.input

c08dd789d8435a73e776422ad50ffeecb1d7dd2f

[ "Apache-2.0" ]

53

2017-03-04T16:22:18.000Z

2022-01-11T09:19:49.000Z

scripts/test_scan.py

sodaplayer/approxeng.input

c08dd789d8435a73e776422ad50ffeecb1d7dd2f

[ "Apache-2.0" ]

20

2017-05-04T19:37:36.000Z

2021-07-02T18:16:18.000Z

import approxeng.input.sys as sys import pprint pp = pprint.PrettyPrinter(indent=2, width=100) pp.pprint(sys.scan_system())

20.833333

46

0.784

20

125

4.85

0.7

0.164948

0

0.035398

0.096

125

6

47

20.833333

0.823009

0

1

0

false

0

0.5

0

0.5

0.75

1

0

null

0

1

0

null

0

1

0

1

0

4

fecf1773e38861b762170758c8bace4b6d170e1e

23,564

py

Python

tests/testing_data.py

Barabazs/py-is_ipfs

c8ac622879b2223e298d9cc4a59ae7da89eb0479

[ "MIT" ]

1

2022-03-09T14:23:44.000Z

tests/testing_data.py

Barabazs/py-is_ipfs

c8ac622879b2223e298d9cc4a59ae7da89eb0479

[ "MIT" ]

null

tests/testing_data.py

Barabazs/py-is_ipfs

c8ac622879b2223e298d9cc4a59ae7da89eb0479

[ "MIT" ]

null

from multibase import encode import cid valid_entries = { "cid": { "v0": [ "QmPZ9gcCEpqKTo6aq61g2nXGUhM4iCL3ewB6LDXZCtioEB", # base58btc "QmbWqxBEKC3P8tqsKc98xmWNzrzDtRLMiMPL8wBuTGsMnR", # base58btc ], "v1": [ "0000000010111000000010010001000001100001111000100011100110011111011001000101011111111110100000110110011111001111010011111111101010000111111111100011010111100110100101110110010000101101001100001011100000000000001001011101101110000100101100110100111000011000111011110100101000011100100011010", # base2 "72700221014170434637310537764066371723775207774327464566205514134000113556045464703073645034432", # base8 "92793123896416649578508430956173875066425468388805468715479907750778834469731416946970", # base10 "f01701220c3c4733ec8affd06cf9e9ff50ffc6bcd2ec85a6170004bb709669c31de94391a", # base16 "bafybeie5gq4jxvzmsym6hjlwxej4rwdoxt7wadqvmmwbqi7r27fclha2va", # base32 "bafybeigdyrzt5sfp7udm7hu76uh7y26nf3efuylqabf3oclgtqy55fbzdi", # base32 "v05o14863ohpjti5fvk3cv7kvuk7voqud5r45kobg015re2b6jgott51p38", # base32hex "k2jmtxw8rjh1z69c6not3wtdxb0u3urbzhyll1t9jg6ox26dhi5sfi1m", # base36 "K2JMTXW8RJH1Z69C6NOT3WTDXB0U3URBZHYLL1T9JG6OX26DHI5SFI1M", # base36upper "ZCJ7vHB6jBiaEvZ1B9N4m6KQ9kWC5bEAXKuzEMRNJzzgHrfXm", # base58flickr "zdj7Wic6KcJAfWz1c9o4M6kq9Lwd5BfbxkVafnrojaaGiSFxM", # base58btc "zdj7WWeQ43G6JJvLWQWZpyHuAMq6uYWRjkBXFad11vE2LHhQ7", # base58btc "mAXASIMPEcz7Ir/0Gz56f9Q/8a80uyFphcABLtwlmnDHelDka", # base64 "uAXASIMPEcz7Ir_0Gz56f9Q_8a80uyFphcABLtwlmnDHelDka", # base64url ], "encoded": [ cid.from_string("QmbWqxBEKC3P8tqsKc98xmWNzrzDtRLMiMPL8wBuTGsMnR"), cid.from_string("QmPZ9gcCEpqKTo6aq61g2nXGUhM4iCL3ewB6LDXZCtioEB"), cid.from_string( "bafybeie5gq4jxvzmsym6hjlwxej4rwdoxt7wadqvmmwbqi7r27fclha2va" ), cid.from_string("zdj7WWeQ43G6JJvLWQWZpyHuAMq6uYWRjkBXFad11vE2LHhQ7"), encode("base2", "QmbWqxBEKC3P8tqsKc98xmWNzrzDtRLMiMPL8wBuTGsMnR"), encode("base8", "QmbWqxBEKC3P8tqsKc98xmWNzrzDtRLMiMPL8wBuTGsMnR"), encode("base10", "QmbWqxBEKC3P8tqsKc98xmWNzrzDtRLMiMPL8wBuTGsMnR"), encode("base16", "QmbWqxBEKC3P8tqsKc98xmWNzrzDtRLMiMPL8wBuTGsMnR"), encode("base32", "QmbWqxBEKC3P8tqsKc98xmWNzrzDtRLMiMPL8wBuTGsMnR"), encode("base32hex", "QmbWqxBEKC3P8tqsKc98xmWNzrzDtRLMiMPL8wBuTGsMnR"), encode("base32z", "QmbWqxBEKC3P8tqsKc98xmWNzrzDtRLMiMPL8wBuTGsMnR"), encode("base36", "QmbWqxBEKC3P8tqsKc98xmWNzrzDtRLMiMPL8wBuTGsMnR"), encode("base36upper", "QmbWqxBEKC3P8tqsKc98xmWNzrzDtRLMiMPL8wBuTGsMnR"), encode("base58btc", "QmbWqxBEKC3P8tqsKc98xmWNzrzDtRLMiMPL8wBuTGsMnR"), encode("base58flickr", "QmbWqxBEKC3P8tqsKc98xmWNzrzDtRLMiMPL8wBuTGsMnR"), encode("base64", "QmbWqxBEKC3P8tqsKc98xmWNzrzDtRLMiMPL8wBuTGsMnR"), encode("base64url", "QmbWqxBEKC3P8tqsKc98xmWNzrzDtRLMiMPL8wBuTGsMnR"), ], }, "url": { "ipfs": [ "https://ipfs.io/ipfs/0000000010111000000010010001000001100001111000100011100110011111011001000101011111111110100000110110011111001111010011111111101010000111111111100011010111100110100101110110010000101101001100001011100000000000001001011101101110000100101100110100111000011000111011110100101000011100100011010", # base2 "https://ipfs.io/ipfs/f01701220c3c4733ec8affd06cf9e9ff50ffc6bcd2ec85a6170004bb709669c31de94391a", # base16 "https://gateway.pinata.cloud/ipfs/bafybeif5dwlk2sdx5yge4azff2ovsnar63cu37ncw4n24vnqixwamwhxui/", # base32 "https://ipfs.io/ipfs/bafybeigdyrzt5sfp7udm7hu76uh7y26nf3efuylqabf3oclgtqy55fbzdi/", # base32 "https://ipfs.io/ipfs/v05o14863ohpjti5fvk3cv7kvuk7voqud5r45kobg015re2b6jgott51p38", # base32hex "https://ipfs.io/ipfs/k2jmtxw8rjh1z69c6not3wtdxb0u3urbzhyll1t9jg6ox26dhi5sfi1m", # base36 "https://ipfs.io/ipfs/K2JMTXW8RJH1Z69C6NOT3WTDXB0U3URBZHYLL1T9JG6OX26DHI5SFI1M", # base36upper "https://ipfs.io/ipfs/ZCJ7vHB6jBiaEvZ1B9N4m6KQ9kWC5bEAXKuzEMRNJzzgHrfXm", # base58flickr "http://ipfs.io/ipfs/QmbWqxBEKC3P8tqsKc98xmWNzrzDtRLMiMPL8wBuTGsMnR?arg=val#hash", # base58btc "http://ipfs.alexandria.media/ipfs/QmeWz9YZEeNFXQhHg4PnR5ZiNr5isttgi5n1tc1eD5EfGU/content/index.html?arg=val#hash", # base58btc "http://ipfs.io/ipfs/QmbWqxBEKC3P8tqsKc98xmWNzrzDtRLMiMPL8wBuTGsMnR", # base58btc "https://gateway.pinata.cloud/ipfs/Qmb4sw3sqA7AZsaRZ7vtMwxCduk1ExJL5gVDPcpnP8kxFK/", # base58btc "https://ipfs.io/ipfs/zdj7Wic6KcJAfWz1c9o4M6kq9Lwd5BfbxkVafnrojaaGiSFxM", # base58btc "https://ipfs.io/ipfs/QmR7GSQM93Cx5eAg6a6yRzNde1FQv7uL6X1o4k7zrJa3LX/ipfs.draft3.pdf", # base58btc "https://ipfs.io/ipfs/uAXASIMPEcz7Ir_0Gz56f9Q_8a80uyFphcABLtwlmnDHelDka", # base64url ], "ipns": [ "http://ipfs.io/ipns/foo.bar/", # theoretically valid, but is missing a dnslink record "https://ipfs.io/ipns/en.wikipedia-on-ipfs.org/wiki/", "https://ipfs.io/ipns/01011100100000000000100100000010000000000100010010001000000001101100000000001011010111001111011100001111011011011110000110010010011110000111100011011100010111111100111101110101100110111011011101000001100110101011111110001011000001111110000110000111010100101100011010011000111000101000010101010110100001001100110011", # base2 "https://ipfs.io/ipns/f01720024080112201b002d73dc3db78649e1e3717f3dd66edd066afe2c1f861d4b1a638a155a1333", # base16 "https://ipfs.io/ipns/bafzaajaiaejcagyafvz5ypnxqze6dy3rp465m3w5azvp4la7qyouwgtdrikvuezt", # base32 "https://ipfs.io/ipns/v05p00908049206o05lptofdngp4u3orhfsutcrmt0plfsb0vgoekm6j3h8alk4pj", # base32hex "https://ipfs.io/ipns/k51qzi5uqu5dgutdk6i1ynyzgkqngpha5xpgia3a5qqp4jsh0u4csozksxel2r", # base36 "https://ipfs.io/ipns/K51QZI5UQU5DGUTDK6I1YNYZGKQNGPHA5XPGIA3A5QQP4JSH0U4CSOZKSXEL2R", # base36upper "https://ipfs.io/ipns/Z5azMnuicXMgDMqbtbwJiQHydfF5kzhqYommSLcxq57AXAbA8SFnxoB", # base58flickr CIDv1 "https://ipfs.io/ipns/z5AanNVJCxnGenRBUBXjJqiZDFg5LaHRyPMMsmCYR57bxbBb8sgNYPc", # base58btc CIDv1 "https://ipfs.io/ipns/uAXIAJAgBEiAbAC1z3D23hknh43F_PdZu3QZq_iwfhh1LGmOKFVoTMw", # base64url ], }, "subdomain": { "ipfs": [ "https://bafybeif5dwlk2sdx5yge4azff2ovsnar63cu37ncw4n24vnqixwamwhxui.ipfs.dweb.link/", # base32 "http://bafybeie5gq4jxvzmsym6hjlwxej4rwdoxt7wadqvmmwbqi7r27fclha2va.ipfs.dweb.link", # base32 "http://bafybeidvtwx54qr44kidymvhfzefzxhgkieigwth6oswk75zhlzjdmunoy.ipfs.dweb.link/linkify-demo.html", # base32 "http://bafybeie5gq4jxvzmsym6hjlwxej4rwdoxt7wadqvmmwbqi7r27fclha2va.ipfs.localhost:8080", # base32 "https://bafybeigdyrzt5sfp7udm7hu76uh7y26nf3efuylqabf3oclgtqy55fbzdi.ipfs.dweb.link/", # base32 "https://v05o14863ohpjti5fvk3cv7kvuk7voqud5r45kobg015re2b6jgott51p38.ipfs.dweb.link/", # base32hex "https://k2jmtxw8rjh1z69c6not3wtdxb0u3urbzhyll1t9jg6ox26dhi5sfi1m.ipfs.dweb.link/", # base36 "https://K2JMTXW8RJH1Z69C6NOT3WTDXB0U3URBZHYLL1T9JG6OX26DHI5SFI1M.ipfs.dweb.link/", # base36upper ], "ipns": [ "http://docs.ipfs.io.ipns.localhost:8080/some/path", "http://docs.ipfs.io.ipns.foo.bar.buzz.dweb.link", "http://docs.ipfs.io.ipns.locahost:8080", "https://en-wikipedia--on--ipfs-org.ipns.dweb.link", "https://ipfs-io.ipns.dweb.link/", "https://k51qzi5uqu5dgutdk6i1ynyzgkqngpha5xpgia3a5qqp4jsh0u4csozksxel2r.ipns.dweb.link/", # base36 "https://K51QZI5UQU5DGUTDK6I1YNYZGKQNGPHA5XPGIA3A5QQP4JSH0U4CSOZKSXEL2R.ipns.dweb.link", # base36upper ], }, "path": { "ipfs": [ "/ipfs/0000000010111000000010010001000001100001111000100011100110011111011001000101011111111110100000110110011111001111010011111111101010000111111111100011010111100110100101110110010000101101001100001011100000000000001001011101101110000100101100110100111000011000111011110100101000011100100011010", # base2 "/ipfs/f01701220c3c4733ec8affd06cf9e9ff50ffc6bcd2ec85a6170004bb709669c31de94391a", # base16 "/ipfs/bafybeie5gq4jxvzmsym6hjlwxej4rwdoxt7wadqvmmwbqi7r27fclha2va", # base32 "/ipfs/bafzaajaiaejcbl6sqhrt4bii7kvqtk3ye3jmqllbxxeurgms6iuh52vad7vcc4gy", # base32 "/ipfs/v05o14863ohpjti5fvk3cv7kvuk7voqud5r45kobg015re2b6jgott51p38", # base32hex "/ipfs/k51qzi5uqu5dkkciu33khkzbcmxtyhn376i1e83tya8kuy7z9euedzyr5nhoew", # base36 "/ipfs/K2JMTXW8RJH1Z69C6NOT3WTDXB0U3URBZHYLL1T9JG6OX26DHI5SFI1M", # base36upper "/ipfs/QmbWqxBEKC3P8tqsKc98xmWNzrzDtRLMiMPL8wBuTGsMnR?arg=val#hash", # base58btc CIDv0 "/ipfs/QmeWz9YZEeNFXQhHg4PnR5ZiNr5isttgi5n1tc1eD5EfGU/content/index.html?arg=val#hash", # base58btc CIDv0 "/ipfs/ZCJ7vHB6jBiaEvZ1B9N4m6KQ9kWC5bEAXKuzEMRNJzzgHrfXm", # base58flickr" "/ipfs/zdj7Wic6KcJAfWz1c9o4M6kq9Lwd5BfbxkVafnrojaaGiSFxM", # base58btc CIDv1 "/ipfs/QmR7GSQM93Cx5eAg6a6yRzNde1FQv7uL6X1o4k7zrJa3LX/ipfs.draft3.pdf", # base58btc CIDv0 "/ipfs/QmXoypizjW3WknFiJnKLwHCnL72vedxjQkDDP1mXWo6uco/wiki/Aardvark.html", # base58btc CIDv0 "/ipfs/uAXASIMPEcz7Ir_0Gz56f9Q_8a80uyFphcABLtwlmnDHelDka", # base64url ], "ipns": [ "/ipns/en-wikipedia--on--ipfs-org.ipns.dweb.link", # theoretically valid, but is missing a dnslink record "/ipns/ipfs-io.ipns.ipfs.io", # theoretically valid, but is missing a dnslink record "/ipns/github.com/", # theoretically valid, but is missing a dnslink record "/ipns/cid.ipfs.io", "/ipns/ipfs.io", "/ipns/libp2p.io", "/ipns/docs.ipfs.io/introduction/", "/ipns/en.wikipedia-on-ipfs.org/", "/ipns/foo.bar", # theoretically valid, but is missing a dnslink record "/ipns/01011100100000000000100100000010000000000100010010001000000001101100000000001011010111001111011100001111011011011110000110010010011110000111100011011100010111111100111101110101100110111011011101000001100110101011111110001011000001111110000110000111010100101100011010011000111000101000010101010110100001001100110011", # base2 "/ipns/f01720024080112201b002d73dc3db78649e1e3717f3dd66edd066afe2c1f861d4b1a638a155a1333", # base16 "/ipns/bafzaajaiaejcagyafvz5ypnxqze6dy3rp465m3w5azvp4la7qyouwgtdrikvuezt", # base32 "/ipns/v05p00908049206o05lptofdngp4u3orhfsutcrmt0plfsb0vgoekm6j3h8alk4pj", # base32hex "/ipns/k51qzi5uqu5dgutdk6i1ynyzgkqngpha5xpgia3a5qqp4jsh0u4csozksxel2r", # base36 "/ipns/K51QZI5UQU5DGUTDK6I1YNYZGKQNGPHA5XPGIA3A5QQP4JSH0U4CSOZKSXEL2R", # base36upper "/ipns/Z5azMnuicXMgDMqbtbwJiQHydfF5kzhqYommSLcxq57AXAbA8SFnxoB", # base58flickr CIDv1 "/ipns/z5AanNVJCxnGenRBUBXjJqiZDFg5LaHRyPMMsmCYR57bxbBb8sgNYPc", # base58btc CIDv1 "/ipns/uAXIAJAgBEiAbAC1z3D23hknh43F_PdZu3QZq_iwfhh1LGmOKFVoTMw", # base64url ], }, "native_url": { "ipfs": [ "ipfs://QmeWz9YZEeNFXQhHg4PnR5ZiNr5isttgi5n1tc1eD5EfGU", # CIDv0 base58btc "ipfs://bafybeidvtwx54qr44kidymvhfzefzxhgkieigwth6oswk75zhlzjdmunoy/linkify-demo.html", # base32 "ipfs://bafybeigdyrzt5sfp7udm7hu76uh7y26nf3efuylqabf3oclgtqy55fbzdi/", # base32 "ipfs://k2jmtxw8rjh1z69c6not3wtdxb0u3urbzhyll1t9jg6ox26dhi5sfi1m/", # base36 "ipfs://0000000010111000000010010001000001100001111000100011100110011111011001000101011111111110100000110110011111001111010011111111101010000111111111100011010111100110100101110110010000101101001100001011100000000000001001011101101110000100101100110100111000011000111011110100101000011100100011010", # base2 "ipfs://f01701220c3c4733ec8affd06cf9e9ff50ffc6bcd2ec85a6170004bb709669c31de94391a", # base16 "ipfs://bafybeie5gq4jxvzmsym6hjlwxej4rwdoxt7wadqvmmwbqi7r27fclha2va", # base32 "ipfs://bafzaajaiaejcbl6sqhrt4bii7kvqtk3ye3jmqllbxxeurgms6iuh52vad7vcc4gy", # base32 "ipfs://v05o14863ohpjti5fvk3cv7kvuk7voqud5r45kobg015re2b6jgott51p38", # base32hex "ipfs://k51qzi5uqu5dkkciu33khkzbcmxtyhn376i1e83tya8kuy7z9euedzyr5nhoew", # base36 "ipfs://K2JMTXW8RJH1Z69C6NOT3WTDXB0U3URBZHYLL1T9JG6OX26DHI5SFI1M", # base36upper "ipfs://QmbWqxBEKC3P8tqsKc98xmWNzrzDtRLMiMPL8wBuTGsMnR?arg=val#hash", # base58btc "ipfs://QmeWz9YZEeNFXQhHg4PnR5ZiNr5isttgi5n1tc1eD5EfGU/content/index.html?arg=val#hash", # base58btc CIDv0 "ipfs://ZCJ7vHB6jBiaEvZ1B9N4m6KQ9kWC5bEAXKuzEMRNJzzgHrfXm", # base58flickr" "ipfs://zdj7Wic6KcJAfWz1c9o4M6kq9Lwd5BfbxkVafnrojaaGiSFxM", # base58btc CIDv1 "ipfs://QmR7GSQM93Cx5eAg6a6yRzNde1FQv7uL6X1o4k7zrJa3LX/ipfs.draft3.pdf", # base58btc "ipfs://QmXoypizjW3WknFiJnKLwHCnL72vedxjQkDDP1mXWo6uco/wiki/Aardvark.html", # base58btc "ipfs://uAXASIMPEcz7Ir_0Gz56f9Q_8a80uyFphcABLtwlmnDHelDka", # base64url ], "ipns": [ "ipns://en-wikipedia--on--ipfs-org.ipns.dweb.link", # theoretically valid, but is missing a dnslink record "ipns://cid.ipfs.io", "ipns://ipfs-io.ipns.ipfs.io", # theoretically valid, but is missing a dnslink record "ipns://ipfs.io", "ipns://k51qzi5uqu5dgutdk6i1ynyzgkqngpha5xpgia3a5qqp4jsh0u4csozksxel2r", # base36 "ipns://K51QZI5UQU5DGUTDK6I1YNYZGKQNGPHA5XPGIA3A5QQP4JSH0U4CSOZKSXEL2R/path#title", # base36upper "ipns://github.com/", # theoretically valid, but is missing a dnslink record "ipns://libp2p.io", "ipns://docs.ipfs.io/introduction/", "ipns://en.wikipedia-on-ipfs.org/", "ipns://foo.bar", # theoretically valid, but is missing a dnslink record "ipns://01011100100000000000100100000010000000000100010010001000000001101100000000001011010111001111011100001111011011011110000110010010011110000111100011011100010111111100111101110101100110111011011101000001100110101011111110001011000001111110000110000111010100101100011010011000111000101000010101010110100001001100110011", # base2 "ipns://f01720024080112201b002d73dc3db78649e1e3717f3dd66edd066afe2c1f861d4b1a638a155a1333", # base16 "ipns://bafzaajaiaejcagyafvz5ypnxqze6dy3rp465m3w5azvp4la7qyouwgtdrikvuezt", # base32 "ipns://v05p00908049206o05lptofdngp4u3orhfsutcrmt0plfsb0vgoekm6j3h8alk4pj", # base32hex "ipns://k51qzi5uqu5dgutdk6i1ynyzgkqngpha5xpgia3a5qqp4jsh0u4csozksxel2r", # base36 "ipns://K51QZI5UQU5DGUTDK6I1YNYZGKQNGPHA5XPGIA3A5QQP4JSH0U4CSOZKSXEL2R", # base36upper "ipns://Z5azMnuicXMgDMqbtbwJiQHydfF5kzhqYommSLcxq57AXAbA8SFnxoB", # base58flickr CIDv1 "ipns://z5AanNVJCxnGenRBUBXjJqiZDFg5LaHRyPMMsmCYR57bxbBb8sgNYPc", # base58btc CIDv1 "ipns://uAXIAJAgBEiAbAC1z3D23hknh43F_PdZu3QZq_iwfhh1LGmOKFVoTMw", # base64url ], }, } invalid_entries = { "cid": { "all": [ str("QmbWqxBEKC3P8tqsKc98xmWNzrzDtRLMiMPL8wBuTGsMnR").swapcase(), str("QmbWqxBEKC3P8tqsKc98xmWNzrzDtRLMiMPL8wBuTGsMnR").lower(), "afybeie5gq4jxvzmsym6hjlwxej4rwdoxt7wadqvmmwbqi7r27fclha2va" "bafybeie2reiz2q6rbcuwpy2etyztjnceolu4rdi7rp3th2lsky4r5ckee" "QmYjtig7VJQ6XsnUjqqJvj7QaMcCAwtrgNdahSiFofrE70", "", 1234, "noop", b"QmYjtig7VJQ6XsnUjqqJvj7QaMcCAwtrgNdahSiFofrE70", "dfmqjdmfkjqdm", "bafybeierhgbz4zp2x2u67urqrgfnrnlukciupzenpqpipiz5nwtq", "1234", encode("base58btc", "QmYjtig7VJQ6XsnUjqqJvj7QaMcCAwtrgNdahSiFofrE70"), encode("base16", "QmNQuBJ8g4QN6mSLXHekxBbcToPwKxamWNrDdEugxMTDd"), ] }, "url": { "ipfs": [ "https://ipfs.io/ipfs/72700221014170434637310537764066371723775207774327464566205514134000113556045464703073645034432", # base8 "https://ipfs.io/ipfs/92793123896416649578508430956173875066425468388805468715479907750778834469731416946970", # base10 "https://ipfs.io/ipfs/mAXASIMPEcz7Ir/0Gz56f9Q/8a80uyFphcABLtwlmnDHelDka", # base64 "https://github.com/ipfs/js-ipfs/blob/master/README.md", "https://google.com", ], "ipns": [ "https://ipfs.io/ipns/7134400044020004221001540013271734173336062236074334277475654673350146537613017606072454323070502526411463", # base8 "https://ipfs.io/ipns/912059270899086145358701227151751949578967872728194642447008830239276889128468550643329311314739", # base10 "https://ipfs.io/ipns/mAXIAJAgBEiAbAC1z3D23hknh43F/PdZu3QZq/iwfhh1LGmOKFVoTMw", # base64 "https://github.com/ipns/js-ipfs/blob/master/README.md", "https://google.com", ], }, "subdomain": { "ipfs": [ "https://010111000000010010001000001100001111000100011100110011111011001000101011111111110100000110110011111001111010011111111101010000111111111100011010111100110100101110110010000101101001100001011100000000000001001011101101110000100101100110100111000011000111011110100101000011100100011010.ipfs.dweb.link", # base2 "https://7002700221014170434637310537764066371723775207774327464566205514134000113556045464703073645034432.ipfs.dweb.link", # base8 "https://92793123896416649578508430956173875066425468388805468715479907750778834469731416946970.ipfs.dweb.link/", # base10 "https://f01701220c3c4733ec8affd06cf9e9ff50ffc6bcd2ec85a6170004bb709669c31de94391a.ipfs.dweb.link/", # base16 "https://Qmb4sw3sqA7AZsaRZ7vtMwxCduk1ExJL5gVDPcpnP8kxFK.ipfs.dweb.link/", # base58btc CIDv0 "http://QmbWqxBEKC3P8tqsKc98xmWNzrzDtRLMiMPL8wBuTGsMnR.ipfs.dweb.link", # base58btc CIDv0 "http://bafybeie5gq4jxvzmsym6hjlwxej4rwdoxt7wadqvmmwbqi7r27fclha2va.dweb.link", "http://QmcNioXSC1bfJj1dcFErhUfyjFzoX2HodkRccsFFVJJvg8.ipns.dweb.link", # base58btc CIDv0 "http://bafybeiabc2xofh6tdi6vutusorpumwcikw3hf3st4ecjugo6j52f6xwc6q.dweb.link", # base32 with missing protocol "https://zdj7Wic6KcJAfWz1c9o4M6kq9Lwd5BfbxkVafnrojaaGiSFxM.ipfs.dweb.link", # base58btc CIDv1 "https://mAXASIMPEcz7Ir/0Gz56f9Q/8a80uyFphcABLtwlmnDHelDka.ipfs.dweb.link", # base64 "http://not-a-cid.ipfs.dweb.link", "http://invalid-hostname-.ipns.dweb.link", "http://www.bafybeie5gq4jxvzmsym6hjlwxej4rwdoxt7wadqvmmwbqi7r27fclha2va.ipfs.dweb.link", "http://not-a-cid-or-valid-hostname-.ipns.dweb.link", ], "ipns": [ "http://invalid-hostname-.ipns.dweb.link", "https://01011100100000000000100100000010000000000100010010001000000001101100000000001011010111001111011100001111011011011110000110010010011110000111100011011100010111111100111101110101100110111011011101000001100110101011111110001011000001111110000110000111010100101100011010011000111000101000010101010110100001001100110011.ipns.dweb.link", # base2 "https://7134400044020004221001540013271734173336062236074334277475654673350146537613017606072454323070502526411463.ipns.dweb.link", # base8 "https://7134400044020004221001540013271734173336062236074334277475654673350146537613017606072454323070502526411463.ipns.dweb.link", # base10 "https://f01720024080112201b002d73dc3db78649e1e3717f3dd66edd066afe2c1f861d4b1a638a155a1333.ipns.dweb.link", # base16 "https://bafzaajaiaejcagyafvz5ypnxqze6dy3rp465m3w5azvp4la7qyouwgtdrikvuezt.ipns.dweb.link", # base32 "http://bafybeiabc2xofh6tdi6vutusorpumwcikw3hf3st4ecjugo6j52f6xwc6q.ipns.dweb.link", # base32 "https://v05p00908049206o05lptofdngp4u3orhfsutcrmt0plfsb0vgoekm6j3h8alk4pj.ipns.dweb.link", # base32hex "https://Z5azMnuicXMgDMqbtbwJiQHydfF5kzhqYommSLcxq57AXAbA8SFnxoB.ipns.dweb.link", # base58flickr "https://z5AanNVJCxnP3oDACUtS8xaCDPrnpquZbpFZ3pU83Lu8JzQSFnodntY.ipns.dweb.link" # base58btc CIDv1 "http://QmcNioXSC1bfJj1dcFErhUfyjFzoX2HodkRccsFFVJJvg8.ipns.dweb.link", # base58btc CIDv0 "https://mAXIAJAgBEiB6C43WeEQO+iBUnhM/SS2I/pHzemJnV7m/TKgqgiiJoQ.ipns.dweb.link", # base64 "https://uAXIAJAgBEiAbAC1z3D23hknh43F_PdZu3QZq_iwfhh1LGmOKFVoTMw.ipns.dweb.link", # base64url ], }, "path": { "ipfs": [ "/ipfs/72700221014170434637310537764066371723775207774327464566205514134000113556045464703073645034432", # base8 "/ipfs/92793123896416649578508430956173875066425468388805468715479907750778834469731416946970", # base10 "/ipfs/mAXASIMPEcz7Ir/0Gz56f9Q/8a80uyFphcABLtwlmnDHelDka", # base64 "/ipfs/js-ipfs/blob/master/README.md", "/ipfs/QmcNioXSC1bfJj1dcFErhUfyjFzoX2HodkRccsFFVJJvg8.ipns.dweb.link", "ipfs/QmeWz9YZEeNFXQhHg4PnR5ZiNr5isttgi5n1tc1eD5EfGU" "/ipfs/foo/QmeWz9YZEeNFXQhHg4PnR5ZiNr5isttgi5n1tc1eD5EfGU", "/foo.bar", "/ipfs/mAXASIMPEcz7Ir/0Gz56f9Q/8a80uyFphcABLtwlmnDHelDka", "/ipfs/1234", ], "ipns": [ "/ipns/7134400044020004221001540013271734173336062236074334277475654673350146537613017606072454323070502526411463", # base8 "/ipns/912059270899086145358701227151751949578967872728194642447008830239276889128468550643329311314739", # base10 "/ipns/mAXASIMPEcz7Ir/0Gz56f9Q/8a80uyFphcABLtwlmnDHelDka", # base64 "/ipns/qmbwqxbekC3P8tqsKc98xmWNzrzDtRLMiMPL8wBuTGsMnR", "/ipfs/js-ipfs/blob/master/README.md", "/ipns/en-wikipedia--on--ipfs-org/", "/foo.bar", "/ipns/1234", "/ipns/", ], }, "native_url": { "ipfs": [ "ipfs://72700221014170434637310537764066371723775207774327464566205514134000113556045464703073645034432", # base8 "ipfs://92793123896416649578508430956173875066425468388805468715479907750778834469731416946970", # base10 "ipfs://mAXASIMPEcz7Ir/0Gz56f9Q/8a80uyFphcABLtwlmnDHelDka", # base64 "ipfs://js-ipfs/blob/master/README.md", "ipfs://QmcNioXSC1bfJj1dcFErhUfyjFzoX2HodkRccsFFVJJvg8.ipns.dweb.link", "ipfs://foo/QmeWz9YZEeNFXQhHg4PnR5ZiNr5isttgi5n1tc1eD5EfGU", "foo://bar", "ipfs:/mAXASIMPEcz7Ir/0Gz56f9Q/8a80uyFphcABLtwlmnDHelDka", "ipfs://1234", ], "ipns": [ "ipns://7134400044020004221001540013271734173336062236074334277475654673350146537613017606072454323070502526411463", # base8 "ipns://912059270899086145358701227151751949578967872728194642447008830239276889128468550643329311314739", # base10 "ipns://mAXASIMPEcz7Ir/0Gz56f9Q/8a80uyFphcABLtwlmnDHelDka", # base64 "ipns://qmbwqxbekC3P8tqsKc98xmWNzrzDtRLMiMPL8wBuTGsMnR", "ipfs://js-ipfs/blob/master/README.md", "ipns://en-wikipedia--on--ipfs-org/", "foo://bar", "ipns://1234", ], }, }

77.768977

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null

0

4

fed08a258be404011cce184ecf77e6aad5f9e7af

199

py

Python

venv/Lib/site-packages/flask_allows/__init__.py

themakerkid/the-maker-kid

e969ec3c9b2bb8555f6bb5940a2df00df3126db8

[ "BSD-3-Clause" ]

null

venv/Lib/site-packages/flask_allows/__init__.py

themakerkid/the-maker-kid

e969ec3c9b2bb8555f6bb5940a2df00df3126db8

[ "BSD-3-Clause" ]

null

venv/Lib/site-packages/flask_allows/__init__.py

themakerkid/the-maker-kid

e969ec3c9b2bb8555f6bb5940a2df00df3126db8

[ "BSD-3-Clause" ]

null

from .allows import Allows from .requirements import Requirement, ConditionalRequirement, C, And, Or, Not from .permission import Permission __version__ = "0.1.0" __author__ = 'Alec Nikolas Reiter'

28.428571

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0.788945

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0.130653

199

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79

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null

0

1

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1

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4

fedd54edb640bb7de75db3e210ffa40eb0d44e26

98

py

Python

video_features/__folder_params.py

zhengx4/video_image_features

08a980caffab1120dcf0ff689f31d78f61ea83fc

[ "MIT" ]

5

2018-09-19T13:04:00.000Z

2021-04-28T15:12:09.000Z

video_features/__folder_params.py

zhengx4/video_image_features

08a980caffab1120dcf0ff689f31d78f61ea83fc

[ "MIT" ]

1

2019-05-11T21:58:48.000Z

video_features/__folder_params.py

zhengx4/video_image_features

08a980caffab1120dcf0ff689f31d78f61ea83fc

[ "MIT" ]

2

2019-03-24T15:48:26.000Z

2020-03-22T12:37:59.000Z

home = '/media/ricardo/wk/2018Memorability/video_image_features/' data_folder = home + "../data/"

32.666667

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12

98

5.833333

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98

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0

1

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null

0

1

0

1

null

0

4

3a436e24ad597eca5668484610712071cf31afbe

6,625

py

Python

authors/apps/profiles/tests/test_follow_profile.py

andela/ah-codeofduty

ab749037dbb08712a2e47848e31a1ccb14de1165

[ "BSD-3-Clause" ]

null

authors/apps/profiles/tests/test_follow_profile.py

andela/ah-codeofduty

ab749037dbb08712a2e47848e31a1ccb14de1165

[ "BSD-3-Clause" ]

41

2018-10-23T08:45:43.000Z

2022-03-11T23:34:18.000Z

authors/apps/profiles/tests/test_follow_profile.py

andela/ah-codeofduty

ab749037dbb08712a2e47848e31a1ccb14de1165

[ "BSD-3-Clause" ]

3

2020-05-01T16:21:13.000Z

2021-05-11T08:25:11.000Z

from authors.apps.authentication.tests.base import * from django.conf import settings class FollowProfileTestCase(BaseTest): """Test user profile""" def follow_user(self, token, username): """Helper method to follow a user """ res = self.client.put( self.PROFILE_URL + username +'/follow', HTTP_AUTHORIZATION = 'Bearer ' + token, format='json' ) return res def followers(self, token, username): """Helper method to get followers of a user """ return self.client.get( self.PROFILE_URL+ username +'/followers', HTTP_AUTHORIZATION='Bearer ' + token, format='json' ) def following(self, token, username): """Helper method to get profiles user is following""" return self.client.get( self.PROFILE_URL+ username +'/following', HTTP_AUTHORIZATION='Bearer ' + token, format='json' ) def test_follow_users(self): """ Tests a user can follow a profile """ # username : zawi self.register_user() # username : gray self.register_user1() # login zawi response = self.login_user() token = response.data['token'] response = self.follow_user(token, "gray") self.assertTrue(response.data['following']) self.assertEquals(response.status_code, status.HTTP_200_OK) def test_follow_user_unauthenticated(self): """ Tests a user can follow a profile without authentication """ self.register_user() self.register_user1() response = self.login_user() token = '' response = self.follow_user(token, "gray") self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) def test_cant_follow_yourself(self): """ Tests a user can follow their profile """ self.register_user() response = self.login_user() token = response.data['token'] response = self.follow_user(token, "zawi") self.assertEquals(response.status_code, status.HTTP_400_BAD_REQUEST) def test_follow_non_existent_user(self): """ Tests a user can follow a non_existent profile """ self.register_user() self.register_user1() response = self.login_user() token = response.data['token'] response = self.follow_user(token, "ghost_user") expected = 'The requested profile does not exist.' self.assertTrue(response.data['detail'] == expected) self.assertEquals(response.status_code, status.HTTP_400_BAD_REQUEST) def test_unfollow_user(self): """ Tests a user can unfollow a profile """ self.register_user() self.register_user1() response = self.login_user() token = response.data['token'] self.follow_user(token, "gray") response = self.follow_user(token, "gray") self.assertFalse(response.data['following']) self.assertEquals(response.status_code, status.HTTP_200_OK) def test_unfollow_non_existent_user(self): """ Tests a user can unfollow a non_existent profile """ self.register_user() self.register_user1() response = self.login_user() token = response.data['token'] self.follow_user(token, "ghost_user") response = self.follow_user(token, "ghost_user") expected = 'The requested profile does not exist.' self.assertTrue(response.data['detail'] == expected) self.assertEquals(response.status_code, status.HTTP_400_BAD_REQUEST) def test_get_followers(self): """ Tests a user can get followers of a profile """ # username : zawi self.register_user() # username : gray self.register_user1() # username : shalon self.register_user2() # gray login and follow zawi response = self.login_user1() token = response.data['token'] self.follow_user(token, "zawi") # shalon login and follow zawi response = self.login_user2() token = response.data['token'] self.follow_user(token, "zawi") response = self.followers(token, 'zawi') self.assertTrue(len(response.data['followers']) == 2) self.assertEquals(response.status_code, status.HTTP_200_OK) def test_get_followers_for_non_existent_user(self): """ Tests a user can get followers of a non_existent profile """ self.register_user() response = self.login_user() token = response.data['token'] response = self.followers(token, 'ghost_user') self.assertEquals(response.status_code, status.HTTP_400_BAD_REQUEST) def test_get_followers_without_authentication(self): """ Tests a user can get followers of a profile without authentication """ token = '' response = self.followers(token, 'zawi') self.assertEquals(response.status_code, status.HTTP_401_UNAUTHORIZED) def test_get_following(self): """ Tests a user can get following of a profile """ # username : zawi self.register_user() # username : gray self.register_user1() # username : shalon self.register_user2() # zawi login and follow gray and shalon response = self.login_user() token = response.data['token'] self.follow_user(token, "gray") self.follow_user(token, "shalon") response = self.following(token, 'zawi') self.assertTrue(len(response.data['following']) == 2) self.assertEquals(response.status_code, status.HTTP_200_OK) def test_get_following_for_non_existent_user(self): """ Tests a user can get following of a non_existent profile """ self.register_user() response = self.login_user() token = response.data['token'] response = self.following(token, 'ghost_user') self.assertEquals(response.status_code, status.HTTP_400_BAD_REQUEST) def test_get_following_without_authentication(self): """ Tests a user can get following of a profile without authentication """ token = '' response = self.following(token, 'zawi') self.assertEquals(response.status_code, status.HTTP_401_UNAUTHORIZED)

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0.042912

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0.182609

0

null

0

1

0

null

0

4

3a551d47ee165e31f9f5b794a8f528ae369cdf31

302

py

Python

generated-libraries/python/netapp/sis/undo_selective_enum.py

radekg/netapp-ontap-lib-get

6445ebb071ec147ea82a486fbe9f094c56c5c40d

[ "MIT" ]

2

2017-03-28T15:31:26.000Z

2018-08-16T22:15:18.000Z

generated-libraries/python/netapp/sis/undo_selective_enum.py

radekg/netapp-ontap-lib-get

6445ebb071ec147ea82a486fbe9f094c56c5c40d

[ "MIT" ]

null

generated-libraries/python/netapp/sis/undo_selective_enum.py

radekg/netapp-ontap-lib-get

6445ebb071ec147ea82a486fbe9f094c56c5c40d

[ "MIT" ]

null

class UndoSelectiveEnum(basestring): """ all|wrong Possible values: <ul> <li> "all" - Undo all shared data, <li> "wrong" - Only undo the incorrectly shared data </ul> """ @staticmethod def get_api_name(): return "undo-selective-enum"

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0

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302

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21.571429

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0

null

0

null

0

1

0

1

0

4

3a561260921626b90239b47d9ed774dac4316596

71

py

Python

robots/small/strategies/2019/test/test_stuckpos/init.py

memristor/mep2

bc5cddacba3d740f791f3454b8cb51bda83ce202

[ "MIT" ]

5

2018-11-27T15:15:00.000Z

2022-02-10T21:44:13.000Z

robots/small/strategies/2019/test/test_stuckpos/init.py

memristor/mep2

bc5cddacba3d740f791f3454b8cb51bda83ce202

[ "MIT" ]

2

2018-10-20T15:48:40.000Z

2018-11-20T05:11:33.000Z

robots/small/strategies/2019/test/test_stuckpos/init.py

memristor/mep2

bc5cddacba3d740f791f3454b8cb51bda83ce202

[ "MIT" ]

1

2020-02-07T12:44:47.000Z

def run(): r.setpos(50,50,0) # r.stuckpos(1, x=5, o=-90, check=True)

17.75

40

0.591549

16

71

2.625

0.875

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0.147541

0.140845

71

3

41

23.666667

0.540984

0.521127

0

1

0.5

true

0

0.5

0

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null

0

1

0

null

0

1

0

4

28cc6a4a571468b72ae6e7d802fff7a4d7b757c4

40

py

Python

autosub/config.py

nzukie-b/AutoSub

2ae2cd287272beb8c6c5b74b970f3d95e7908dec

[ "MIT" ]

null

autosub/config.py

nzukie-b/AutoSub

2ae2cd287272beb8c6c5b74b970f3d95e7908dec

[ "MIT" ]

null

autosub/config.py

nzukie-b/AutoSub

2ae2cd287272beb8c6c5b74b970f3d95e7908dec

[ "MIT" ]

null

# Line count for SRT file line_count = 0

20

25

0.75

8

40

3.625

0.75

0.62069

0

0.03125

0.2

40

2

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20

0.875

0.575

0

1

0

false

0

1

0

null

1

0

1

0

null

0

4

28f6dba83e408c9f8dbefbdc1fbb0e37c512e70a

172

py

Python

evalml/data_checks/data_check_action_code.py

BlockchainClimateInstitute/price_microservice

11d1cff8965fe1befc997e9da3dc09efceed4579

[ "BSD-3-Clause" ]

null

evalml/data_checks/data_check_action_code.py

BlockchainClimateInstitute/price_microservice

11d1cff8965fe1befc997e9da3dc09efceed4579

[ "BSD-3-Clause" ]

13

2021-03-04T19:29:09.000Z

2022-03-07T01:00:43.000Z

evalml/data_checks/data_check_action_code.py

RG4421/evalml

33c62abe6d107d1da2f54e9e44a90f18aaf916a9

[ "BSD-3-Clause" ]

null

from enum import Enum class DataCheckActionCode(Enum): """Enum for data check action code.""" DROP_COL = "drop_col" """Action code for dropping a column."""

19.111111

44

0.674419

23

172

4.956522

0.652174

0.175439

0

0.209302

172

8

45

21.5

0.838235

0.186047

0

0.085106

0

1

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false

0

0.333333

0

1

0

1

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null

0

1

0

null

0

1

0

1

0

4

e91605a7bdee5ee6d5524e81dcc60ee94a5d1220

121

py

Python

dynamodb/models/billing_type.py

ceb10n/awesome

1b6e392a48431597e07ab680f71774580c3f2a97

[ "MIT" ]

null

dynamodb/models/billing_type.py

ceb10n/awesome

1b6e392a48431597e07ab680f71774580c3f2a97

[ "MIT" ]

1

2021-06-02T00:35:34.000Z

dynamodb/models/billing_type.py

ceb10n/awesome

1b6e392a48431597e07ab680f71774580c3f2a97

[ "MIT" ]

null

from enum import Enum class BillingType(Enum): PROVISIONED = 'PROVISIONED' PAY_PER_REQUEST = 'PAY_PER_REQUEST'

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4

e9357fcb54b9246ac013f55892c21adb0e3c1b59

4,936

py

Python

indicatorlibrary/quickstart/migrations/0005_auto_20180625_1501.py

andrewtpham/Indicator-Library

d8fb434b467775ab8e2dae2190c36a93ada242a0

[ "Apache-2.0" ]

2

2020-12-07T10:49:30.000Z

2022-03-12T18:52:24.000Z

indicatorlibrary/quickstart/migrations/0005_auto_20180625_1501.py

andrewtpham/Indicator-Library

d8fb434b467775ab8e2dae2190c36a93ada242a0

[ "Apache-2.0" ]

3

2020-06-05T17:08:54.000Z

2022-02-12T02:47:07.000Z

indicatorlibrary/quickstart/migrations/0005_auto_20180625_1501.py

andrewtpham/Indicator-Library

d8fb434b467775ab8e2dae2190c36a93ada242a0

[ "Apache-2.0" ]

null

# Generated by Django 2.0.2 on 2018-06-25 15:01 from django.db import migrations, models import uuid class Migration(migrations.Migration): dependencies = [ ('quickstart', '0004_auto_20180625_1331'), ] operations = [ migrations.AlterField( model_name='additionalfields', name='additional_fields_uuid', field=models.CharField(blank=True, default=uuid.uuid4, max_length=500, unique=True, verbose_name='Additional Field UUID'), ), migrations.AlterField( model_name='frequency', name='frequency', field=models.CharField(max_length=500), ), migrations.AlterField( model_name='frequency', name='frequency_uuid', field=models.CharField(blank=True, default=uuid.uuid4, max_length=500, unique=True, verbose_name='Frequency UUID'), ), migrations.AlterField( model_name='indicator', name='baseline', field=models.TextField(blank=True, max_length=500, null=True), ), migrations.AlterField( model_name='indicator', name='comments', field=models.TextField(blank=True, max_length=500, null=True), ), migrations.AlterField( model_name='indicator', name='data_collection_method', field=models.TextField(blank=True, max_length=500, null=True, verbose_name='Data Collection Method'), ), migrations.AlterField( model_name='indicator', name='denominator', field=models.TextField(blank=True, max_length=500, null=True), ), migrations.AlterField( model_name='indicator', name='disaggregation', field=models.TextField(blank=True, max_length=500), ), migrations.AlterField( model_name='indicator', name='indicator_uuid', field=models.TextField(blank=True, default=uuid.uuid4, max_length=500, unique=True, verbose_name='Indicator UUID'), ), migrations.AlterField( model_name='indicator', name='information_use', field=models.TextField(blank=True, max_length=500, null=True, verbose_name='Information Use'), ), migrations.AlterField( model_name='indicator', name='means_of_verification', field=models.TextField(blank=True, max_length=500, null=True, verbose_name='Means of Verification'), ), migrations.AlterField( model_name='indicator', name='method_of_analysis', field=models.TextField(blank=True, max_length=500, null=True, verbose_name='Method of Analysis'), ), migrations.AlterField( model_name='indicator', name='number', field=models.CharField(blank=True, max_length=500, null=True), ), migrations.AlterField( model_name='indicator', name='numerator', field=models.TextField(blank=True, max_length=500, null=True), ), migrations.AlterField( model_name='indicator', name='objectives', field=models.CharField(blank=True, max_length=500, verbose_name='Objective'), ), migrations.AlterField( model_name='indicator', name='rationale_for_target', field=models.TextField(blank=True, max_length=500, null=True), ), migrations.AlterField( model_name='indicator', name='responsible_person', field=models.TextField(blank=True, max_length=500, null=True, verbose_name='Responsible Person(s) and Team'), ), migrations.AlterField( model_name='indicator', name='sector', field=models.CharField(blank=True, max_length=500, null=True), ), migrations.AlterField( model_name='indicator', name='subsector', field=models.CharField(blank=True, max_length=500, null=True), ), migrations.AlterField( model_name='indicator', name='tags', field=models.CharField(blank=True, max_length=500, null=True), ), migrations.AlterField( model_name='indicator', name='unit_of_measure', field=models.TextField(blank=True, max_length=500, null=True, verbose_name='Unit of Measure'), ), migrations.AlterField( model_name='source', name='name', field=models.CharField(max_length=500), ), migrations.AlterField( model_name='source', name='source_uuid', field=models.CharField(blank=True, default=uuid.uuid4, max_length=500, unique=True, verbose_name='Source UUID'), ), ]

37.969231

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5.8

0.159184

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0.564743

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4,936

129

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1

0

1

0

1

0

null

0

4

3a80028e472fd8acf789b299af0e909d0a7bc8e8

730

py

Python

2017/04/passphrases.py

tobiasvl/adventofcode2017

2acc1d30cafb6b73f1cb29335fd790e3864df8fc

[ "CC0-1.0" ]

3

2018-12-03T06:42:01.000Z

2020-04-12T09:49:45.000Z

2017/04/passphrases.py

tobiasvl/adventofcode2017

2acc1d30cafb6b73f1cb29335fd790e3864df8fc

[ "CC0-1.0" ]

null

2017/04/passphrases.py

tobiasvl/adventofcode2017

2acc1d30cafb6b73f1cb29335fd790e3864df8fc

[ "CC0-1.0" ]

null

import itertools with open('input.txt') as f: passphrases = [line.strip().split() for line in f if line != '\n'] def contains_anagram(passphrase): for w1, w2 in itertools.combinations(passphrase, 2): if sorted(w1) == sorted(w2): return True return False passphrases_without_repeats = 0 passphrases_without_anagrams = 0 for passphrase in passphrases: if len(passphrase) != len(set(passphrase)): continue passphrases_without_repeats += 1 if contains_anagram(passphrase): continue passphrases_without_anagrams += 1 print "%s passphrases without duplicate words" % passphrases_without_repeats print "%s passphrases without anagrams" % passphrases_without_anagrams

28.076923

76

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89

730

5.741573

0.449438

0.2818

0.203523

0.1409

0

0.015306

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730

25

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0.853742

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0.109589

0

null

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0.052632

null

0.105263

0

null

1

0

null

0

1

0

1

0

4

3a9a9cd62342d3f160cae0280b9969d4b0f5cbfd

54

py

Python

infi/__init__.py

Infinidat/infi.amqp

ba943afa836fb73203ed520a0d78821b282b499e

[ "BSD-3-Clause" ]

null

infi/__init__.py

Infinidat/infi.amqp

ba943afa836fb73203ed520a0d78821b282b499e

[ "BSD-3-Clause" ]

null

infi/__init__.py

Infinidat/infi.amqp

ba943afa836fb73203ed520a0d78821b282b499e

[ "BSD-3-Clause" ]

null

__import__('pkg_resources').declare_namespace('infi')

27

53

0.814815

6

54

6.333333

1

0

0.018519

54

1

54

0.716981

0

0.314815

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

3ac94b089dee3c340e2684b32af1993a7bc14b7f

3,676

py

Python

Codes/NetworkSelector.py

DiversisAI/Deep-Optimizer-Framework

fc7864203dedbb90948e4e0a73890cc8b09d6790

[ "Apache-2.0" ]

1

2022-03-16T02:39:49.000Z

Codes/NetworkSelector.py

DiversisAI/Deep-Optimizer-Framework

fc7864203dedbb90948e4e0a73890cc8b09d6790

[ "Apache-2.0" ]

null

Codes/NetworkSelector.py

DiversisAI/Deep-Optimizer-Framework

fc7864203dedbb90948e4e0a73890cc8b09d6790

[ "Apache-2.0" ]

1

2020-04-26T03:37:07.000Z

# Copyright 2019 DIVERSIS Software. 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. def NetworkConfig(netType): if netType == 1: layerOutDimSize = [16, 32, 64, 128, 256, 64, 10] kernelSize = [[3,3],[3,3],[3,3],[3,3],[3,3],[1],[1]] strideSize = [2,2,2,2,2,1,1] poolKernelSize = [[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3]] poolSize = [1,1,1,1,1,1,1] dropoutInput = 1.0 dropoutPool = [1.0,1.0,1.0,1.0,1.0,1.0,1.0] elif netType == 2: layerOutDimSize = [16,16,32,32,64,64,64,128,128,128,128,128,128,128,10] kernelSize = [[3, 3],[3, 3],[3, 3],[3, 3],[3, 3],[3, 3],[3, 3],[3, 3],[3, 3],[3, 3],[3, 3],[3, 3],[3, 3],[1],[1]] strideSize = [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1] poolKernelSize = [[2,2],[2,2],[2,2],[2, 2],[2, 2],[2, 2],[2,2],[2,2],[2,2],[2, 2],[2, 2],[2, 2],[2, 2],[2, 2],[2, 2]] poolSize = [1,2,1,2,1,1,2,1,1,2,1,1,2,1,1] dropoutInput = 1.0 dropoutPool = [0.3,1.0,0.4,1.0,0.4,0.4,1.0,0.4,0.4,1.0,0.4,0.4,0.5,0.5,1.0] elif netType == 3: layerOutDimSize = [64, 128, 256, 512, 1024,256,10] kernelSize = [[3,3],[3,3],[3,3],[3,3],[3,3],[1],[1]] strideSize = [2,2,2,2,2,1,1] poolKernelSize = [[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3]] poolSize = [1,1,1,1,1,1,1] dropoutInput = 1.0 dropoutPool = [1.0,1.0,1.0,1.0,1.0,1.0,1.0] elif netType == 4: layerOutDimSize = [16,16,16,16,32,32,32,32,64,64,64,64,128,128,128,128,256,256,256,256,256,10] kernelSize = [[3, 3],[3, 3],[3, 3],[3, 3],[3, 3],[3, 3],[3, 3],[3, 3],[3, 3],[3, 3],[3, 3],[3, 3],[3, 3],[3, 3],[3, 3],[3, 3],[3, 3],[3, 3],[3, 3],[3, 3],[1],[1]] strideSize = [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1] poolKernelSize = [[2,2],[2,2],[2,2],[2,2],[2,2],[2, 2],[2, 2],[2, 2],[2, 2],[2, 2],[2, 2],[2,2],[2,2],[2,2],[2, 2],[2, 2],[2, 2],[2, 2],[2, 2],[2, 2],[2, 2],[2, 2]] poolSize = [1,1,1,2,1,1,1,2,1,1,1,2,1,1,1,2,1,1,1,2,1,1] dropoutInput = 1.0 dropoutPool = [1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0] elif netType == 5: layerOutDimSize = [512,128,64,32,10] kernelSize = [[1],[1],[1],[1],[1]] strideSize = [1,1,1,1,1] poolKernelSize = [[3,3],[3,3],[3,3],[3,3],[3,3]] poolSize = [1,1,1,1,1] dropoutInput = 1.0 dropoutPool = [1.0,1.0,1.0,1.0,1.0] elif netType == 6: layerOutDimSize = [128,128,128,128,128,128,128,128,128,128,128,128,10] kernelSize = [[1],[1],[1],[1],[1],[1],[1],[1],[1],[1],[1],[1],[1]] strideSize = [1,1,1,1,1,1,1,1,1,1,1,1,1] poolKernelSize = [[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3],[3,3]] poolSize = [1,1,1,1,1,1,1,1,1,1,1,1,1] dropoutInput = 1.0 dropoutPool = [1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0] else: print("Network Type is not selected properly") return layerOutDimSize,kernelSize,strideSize,poolKernelSize,poolSize,dropoutInput,dropoutPool

54.058824

175

0.510337

779

3,676

2.408216

0.124519

0.151386

0.214286

0.268657

0.570362

0.565032

0.545842

0.514925

0

0.251121

0.211371

3,676

67

176

54.865672

0.395999

0.15642

0

0.307692

0

0.011974

0

1

0.019231

false

0

0.038462

0.019231

0

null

0

1

0

1

0

1

0

null

0

4

3aebf7023ffb32d1d922e3d43f37df7bff203dd9

261

py

Python

example/mpldemo/views.py

scidam/django_matplotlib

468fee0b6e92858e4ddf7c0e987c70cec7725c40

[ "MIT" ]

3

2020-03-25T02:49:57.000Z

2020-06-15T01:33:49.000Z

example/mpldemo/views.py

scidam/django_matplotlib

468fee0b6e92858e4ddf7c0e987c70cec7725c40

[ "MIT" ]

1

2021-05-12T17:42:29.000Z

example/mpldemo/views.py

scidam/django_matplotlib

468fee0b6e92858e4ddf7c0e987c70cec7725c40

[ "MIT" ]

2

2020-04-29T15:12:14.000Z

2020-11-12T21:52:35.000Z

#!/usr/bin/env python3 # -*- coding:utf-8 -*- """ Created Date: Wednesday October 23rd 2019 Author: Dmitry Kislov E-mail: kislov@easydan.com ----- Last Modified: Wednesday, October 23rd 2019, 9:08:59 am Modified By: Dmitry Kislov ----- Copyright (c) 2019 """

17.4

55

0.685824

38

261

4.710526

0.763158

0.178771

0.223464

0.268156

0

0.103139

0.145594

261

14

56

18.642857

0.699552

0.94636

0

null

0

null

0

null

0

null

1

null

true

0

null

0

null

0

1

0

1

0

null

0

1

0

4

aaee70680abc75232c7196a4043559a274173e68

175

py

Python

erc-server/erc_server.py

Veasy/easy-remote-control

6fe8375599d33c2604db0f4f8400cf794cc3849d

[ "MIT" ]

2

2015-08-08T11:07:34.000Z

2015-08-09T18:40:38.000Z

erc-server/erc_server.py

Veasy/easy-remote-control

6fe8375599d33c2604db0f4f8400cf794cc3849d

[ "MIT" ]

7

2015-08-09T18:38:53.000Z

2015-08-10T07:03:38.000Z

erc-server/erc_server.py

veasy/easy-remote-control

6fe8375599d33c2604db0f4f8400cf794cc3849d

[ "MIT" ]

null

import erc_config from erc_server import socketio, app if __name__ == '__main__': socketio.run(app=app, host='0.0.0.0', port=erc_config.ERC_SERVER_PORT)

25

49

0.68

27

175

3.925926

0.518519

0.056604

0

0.028777

0.205714

175

6

50

29.166667

0.733813

0

0.085714

0

1

0

true

0

0.4

0

0.4

0

1

0

null

0

1

0

null

0

1

0

1

0

4

aaf2fd17e2d94d37a4e7e44a0b5240d512113b1a

188

py

Python

NodeDefender/mqtt/command/icpe/zwave/info.py

CTSNE/NodeDefender

24e19f53a27d3b53e599cba8b1448f8f16c0bd5e

[ "MIT" ]

4

2016-09-23T17:51:05.000Z

2017-03-14T02:52:26.000Z

NodeDefender/mqtt/command/icpe/zwave/info.py

CTSNE/NodeDefender

24e19f53a27d3b53e599cba8b1448f8f16c0bd5e

[ "MIT" ]

1

2016-09-22T11:32:33.000Z

2017-11-14T10:00:24.000Z

NodeDefender/mqtt/command/icpe/zwave/info.py

CTSNE/NodeDefender

24e19f53a27d3b53e599cba8b1448f8f16c0bd5e

[ "MIT" ]

4

2016-10-09T19:05:16.000Z

2020-05-14T04:00:30.000Z

from NodeDefender.mqtt.command import fire, topic_format def qry(mac_address): topic = topic_format.format(mac_address, "0", "info", "qry") return fire(topic, icpe = mac_address)

31.333333

64

0.734043

27

188

4.925926

0.592593

0.225564

0

0.006211

0.143617

188

5

65

37.6

0.819876

0

0.042553

0

1

0.25

false

0

0.25

0

0.75

0

1

0

null

1

0

1

0

null

0

1

0

4

aaf91ea28fc5ef2ccb7e6fffad0fe4c59078bb35

365

py

Python

cue.py

jeremycryan/7DRL-2021

3458928df78f10dbc3ebb39a00bd837cb2b078b2

[ "MIT" ]

2

2021-03-28T12:53:03.000Z

2021-04-03T09:44:38.000Z

cue.py

jeremycryan/7DRL-2021

3458928df78f10dbc3ebb39a00bd837cb2b078b2

[ "MIT" ]

null

cue.py

jeremycryan/7DRL-2021

3458928df78f10dbc3ebb39a00bd837cb2b078b2

[ "MIT" ]

null

class Cue: def __init__(self): pass def power_to_speed(self, power, ball=None): # Translate a power (0-100) to the ball's velocity. # Ball object passed in in case this depends on ball weight. return power*10 def on_hit(self, ball): # Apply some effect to ball on hit pass class BasicCue(Cue): pass

24.333333

68

0.616438

55

365

3.963636

0.6

0.045872

0

0.02381

0.309589

365

15

69

24.333333

0.84127

0.386301

0

0.333333

0

1

0.333333

false

0.333333

0

0.111111

0.666667

0

null

0

null

0

1

0

1

0

1

0

4

c90777f50bfce4ce3dc4b32bd359ff67a02bd220

212

py

Python

usp_1/semana4/maior_primo.py

dialup/py

758da136b16c00a6c4f50191e233a9428bf64698

[ "BSD-2-Clause" ]

null

usp_1/semana4/maior_primo.py

dialup/py

758da136b16c00a6c4f50191e233a9428bf64698

[ "BSD-2-Clause" ]

null

usp_1/semana4/maior_primo.py

dialup/py

758da136b16c00a6c4f50191e233a9428bf64698

[ "BSD-2-Clause" ]

null

def maior_primo(num): if num < 2: return False else: for n in range(2, num): while num % n == 0: return num - 1 return num

21.2

35

0.386792

25

212

3.24

0.64

0.222222

0

0.041237

0.542453

212

9

36

23.555556

0.793814

0

1

0.125

false

0

0.5

0

1

0

null

1

0

1

0

1

0

null

0

4

c922d4cd5c4014d5418fcda9787eafa1153a6ae4

1,654

py

Python

examples/example1.py

colives/epsapy

d288bfbf9f72fc40dadd6d3dc4b89a92676498c8

[ "MIT" ]

1

2020-12-20T20:10:05.000Z

examples/example1.py

colives/epsapy

d288bfbf9f72fc40dadd6d3dc4b89a92676498c8

[ "MIT" ]

null

examples/example1.py

colives/epsapy

d288bfbf9f72fc40dadd6d3dc4b89a92676498c8

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ This example is based on Microgrid Islanding of European LV distribution network benchmark model """ import numpy as np import epsapy # System cigre_eu = epsapy.System(50, 100e6, 3, 4) # Buses cigre_eu.bus('busR0', 20e3/np.sqrt(3)) cigre_eu.bus('busR1', 230) cigre_eu.bus('busR2', 230) cigre_eu.bus('busR3', 230) cigre_eu.bus('busR4', 230) cigre_eu.bus('busR5', 230) cigre_eu.bus('busR6', 230) cigre_eu.bus('busR7', 230) cigre_eu.bus('busR8', 230) cigre_eu.bus('busR9', 230) cigre_eu.bus('busR10', 230) cigre_eu.bus('busR11', 230) cigre_eu.bus('busR12', 230) cigre_eu.bus('busR13', 230) cigre_eu.bus('busR14', 230) cigre_eu.bus('busR15', 230) cigre_eu.bus('busR16', 230) cigre_eu.bus('busR17', 230) cigre_eu.bus('busR18', 230) # Lines cigre_eu.line('line1','busR0', 'busR1', ['a','b','c','n'], 1, 1, 1, 1, 1, 1) # Generators cigre_eu.gridformer('grid', 'busR0', 20e3/np.sqrt(3), 0.00) cigre_eu.gridformer('bat1', 'busR6', 234.60, 0.00) cigre_eu.gridformer('bat2', 'busR10', 234.60, 0.00) # 15 wt1 # 16 pv1 # 18 pv2 # Loads name, bus, phases, p_0, q_0, k_z, k_i, k_p) cigre_eu.load('load1', 'busR11', [ 850., 1700., 2295.], [ 526.78, 1053.57, 1422.31], 0.4, 0.3, 0.3) cigre_eu.load('load2', 'busR15', [4080., 5440., 6800.], [2528.56, 3371.41, 4214.26], 0.4, 0.3, 0.3) cigre_eu.load('load3', 'busR16', [4080., 5440., 6800.], [2528.56, 3371.41, 4214.26], 0.4, 0.3, 0.3) cigre_eu.load('load4', 'busR17', [ 0., 0., 2295.], [ 0., 0., 1422.31], 0.4, 0.3, 0.3) cigre_eu.load('load5', 'busR18', [1360., 2720., 3400.], [ 842.85, 1685.70, 2107.13], 0.4, 0.3, 0.3) # Run Power Flow

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null

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c924bfa9520170cd41c4f65022bca663c8f63cd1

114

py

Python

docs/quickstart/dto.py

keotl/jivago

892dfb0cae773e36245083c3e56f0f8523145523

[ "MIT" ]

12

2018-03-19T20:57:44.000Z

2020-01-27T14:11:24.000Z

docs/quickstart/dto.py

keotl/jivago

892dfb0cae773e36245083c3e56f0f8523145523

[ "MIT" ]

73

2018-04-20T22:26:00.000Z

2021-12-01T14:17:37.000Z

docs/quickstart/dto.py

keotl/jivago

892dfb0cae773e36245083c3e56f0f8523145523

[ "MIT" ]

1

2019-02-28T13:33:45.000Z

from jivago.lang.annotations import Serializable @Serializable class MyDto(object): name: str age: int

12.666667

48

0.736842

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114

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114

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null

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c92509e243b29ad09030ac9e8b70aba78115ed93

230

py

Python

apps/lectures/views.py

csilouanos/student-management-system

91800a1d95234918ab7e9ce5a2a017eb93e81431

[ "MIT" ]

null

apps/lectures/views.py

csilouanos/student-management-system

91800a1d95234918ab7e9ce5a2a017eb93e81431

[ "MIT" ]

null

apps/lectures/views.py

csilouanos/student-management-system

91800a1d95234918ab7e9ce5a2a017eb93e81431

[ "MIT" ]

null

from rest_framework import viewsets from .models import Lecture from .serializers import LectureSerializer class LectureViewSet(viewsets.ModelViewSet): queryset = Lecture.objects.all() serializer_class = LectureSerializer

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c929c806b43b8d5e44abfedbd011896e6b68409b

161

py

Python

pines/timesize.py

jpn--/pine

3980a9f0b09dd36b2fed7e52750847637be5f067

[ "MIT" ]

2

2017-08-09T02:42:37.000Z

2020-06-16T14:14:16.000Z

pines/timesize.py

jpn--/pine

3980a9f0b09dd36b2fed7e52750847637be5f067

[ "MIT" ]

null

pines/timesize.py

jpn--/pine

3980a9f0b09dd36b2fed7e52750847637be5f067

[ "MIT" ]

null

def timesize(t): if t<60: return f"{t:.2f}s" elif t<3600: return f"{t/60:.2f}m" elif t<86400: return f"{t/3600:.2f}h" else: return f"{t/86400:.2f}d"

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161

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null

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4

c939357ff6a324e8deb895acb9a66324c840de05

127

py

Python

fxwebgen/markdown/__init__.py

tiliado/fxwebgen

5d1c5120b27fc13b6b45ee4e0017771271c3c3e0

[ "BSD-2-Clause" ]

null

fxwebgen/markdown/__init__.py

tiliado/fxwebgen

5d1c5120b27fc13b6b45ee4e0017771271c3c3e0

[ "BSD-2-Clause" ]

13

2018-08-06T15:25:50.000Z

2019-04-14T14:09:22.000Z

fxwebgen/markdown/__init__.py

tiliado/fxwebgen

5d1c5120b27fc13b6b45ee4e0017771271c3c3e0

[ "BSD-2-Clause" ]

null

42.333333

69

0.779528

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127

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127

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null

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1

0

1

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null

0

1

0

4

c942288ab4ea654751314e6938dcbdbb7d69c620

2,395

py

Python

DailyProgrammer/DP20171020C.py

DayGitH/Python-Challenges

bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf

[ "MIT" ]

2

2020-12-23T18:59:22.000Z

2021-04-14T13:16:09.000Z

DailyProgrammer/DP20171020C.py

DayGitH/Python-Challenges

bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf

[ "MIT" ]

null

DailyProgrammer/DP20171020C.py

DayGitH/Python-Challenges

bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf

[ "MIT" ]

null

""" [2017-10-20] Challenge #336 [Hard] Van der Waerden numbers https://www.reddit.com/r/dailyprogrammer/comments/77m6l4/20171020_challenge_336_hard_van_der_waerden/ # Description This one came to me via the always interesting [Data Genetics blog](http://datagenetics.com/blog/august12017/index.html). Van der Waerden's theorem relates to ways that collections can be colored, in order, avoiding spacing of colors that are a defined length arithmetic progression apart. They are named after the Dutch mathematician B. L. van der Waerden. _W(c,k)_ can be defined as the smallest value where c represents the number of colors in the sequence, and k represents the number of elements in the arithmetic progression. In mathematics, an arithmetic progression is a sequence of numbers such that the difference between the consecutive terms is constant. For instance, the sequence 5, 7, 9, 11, 13, 15, ... is an arithmetic progression with common difference of 2. [Van der Waerden numbers](https://en.wikipedia.org/wiki/Van_der_Waerden_number) (W) are defined as the smallest arrangement of _c_ different colors such that there exists an arithmetic sequence of length _k_. The simplest non-trivial example is _W(2,3)_. Consider two colors, **B** and **R**: B R R B B R R B If we add a **B** to the sequence, we already have **B** at positions 1, 5 and 9 - a difference of 4. If we add an **R** to the sequence, we have an **R** at positions 3, 6 and 9 - a difference of 3. There is no way of coloring 1 through 9 without creating a three step progression of one color or another, so _W(2,3)=9_. Adding a color - _W(3,3)_ - causes the value to jump to 27; adding a length requirement to the arithmetic sequence - _W(2,4)_ - causes the value to increase to 35. Van der Waerden numbers are an open area of research, with exact values known for only a limited number of combinations. Your challenge today is to write a program that can calculate the Van der Waerden number for some small values. # Input Description You'll be given two integers per line indicating _c_ and _k_. Example: 2 3 # Output Description Your program should emit the Van der Waerden number _W(c,k)_ for that input. Example: W(2,3) = 9 # Challenge Input 2 6 4 3 3 4 # Challenge Output W(2,6) = 1132 W(4,3) = 76 W(3,4) = 293 """ def main(): pass if __name__ == "__main__": main()

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null

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c9761395a4d6e90d0d0bac53608342020571e00a

343

py

Python

program/B.py

ID-Arief/sippitt

6ed09996d69915f786ee53bfc4b72d1dcbffbfda

[ "MIT" ]

null

program/B.py

ID-Arief/sippitt

6ed09996d69915f786ee53bfc4b72d1dcbffbfda

[ "MIT" ]

null

program/B.py

ID-Arief/sippitt

6ed09996d69915f786ee53bfc4b72d1dcbffbfda

[ "MIT" ]

null

import os try: os.mkdir('../s-mbf_backupdir') except: pass try: print('[moving] result folder') os.system('mv result ../s-mbf_backupdir') except: pass try: print('[moving] checker folder') os.system('mv checker ../s-mbf_backupdir') except: pass try: print('[moving] toket folder') os.system('mv toket ../s-mbf_backupdir') except: pass

19.055556

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null

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1

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null

0

1

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4

a35a1c288aa3fcdc51734048bce94df5d56501c9

677

py

Python

ade25/sitecontent/upgrades.py

ade25/ade25.sitecontent

631757262cb25a2fd251513102a70a39f38f6c93

[ "MIT" ]

null

ade25/sitecontent/upgrades.py

ade25/ade25.sitecontent

631757262cb25a2fd251513102a70a39f38f6c93

[ "MIT" ]

2

2017-10-09T16:17:47.000Z

2020-01-09T11:58:08.000Z

ade25/sitecontent/upgrades.py

ade25/ade25.sitecontent

631757262cb25a2fd251513102a70a39f38f6c93

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Module providing version specific upgrade steps import logging default_profile = 'profile-ade25.sitecontent:default' logger = logging.getLogger(__name__) def upgrade_1001(setup): setup.runImportStepFromProfile(default_profile, 'typeinfo') setup.runImportStepFromProfile(default_profile, 'controlpanel') # Update registry settings setup.runImportStepFromProfile(default_profile, 'plone.app.registry') def upgrade_1002(setup): # New language folder content type setup.runImportStepFromProfile(default_profile, 'typeinfo') # Control panel changes setup.runImportStepFromProfile(default_profile, 'plone.app.registry')

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a35adc342553ad3e6214b24cccb01a2a8bf439f5

128

py

Python

democracy_club/apps/report_2019_general_election/apps.py

chromy/Website

54c69e82a85dd1431925cf9cd9bef5e67bfe1b5e

[ "BSD-3-Clause" ]

3

2015-09-29T15:29:39.000Z

2019-11-26T14:04:27.000Z

democracy_club/apps/report_2019_general_election/apps.py

chromy/Website

54c69e82a85dd1431925cf9cd9bef5e67bfe1b5e

[ "BSD-3-Clause" ]

415

2015-03-20T18:50:57.000Z

2022-03-29T19:02:36.000Z

democracy_club/apps/report_2019_general_election/apps.py

chromy/Website

54c69e82a85dd1431925cf9cd9bef5e67bfe1b5e

[ "BSD-3-Clause" ]

14

2015-02-04T16:05:17.000Z

2021-04-10T17:20:39.000Z

from django.apps import AppConfig class Report2019GeneralElectionConfig(AppConfig): name = "report_2019_general_election"

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6e6662a97a476c59af62d823f790458a4ee7984f

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py

Python

src/abaqus/Material/Others/HeatTransfer/JouleHeatFraction.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

7

2022-01-21T09:15:45.000Z

2022-02-15T09:31:58.000Z

src/abaqus/Material/Others/HeatTransfer/JouleHeatFraction.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

null

src/abaqus/Material/Others/HeatTransfer/JouleHeatFraction.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

null

class JouleHeatFraction: """The JouleHeatFraction object defines the fraction of electric energy released as heat. Notes ----- This object can be accessed by: .. code-block:: python import material mdb.models[name].materials[name].jouleHeatFraction import odbMaterial session.odbs[name].materials[name].jouleHeatFraction The corresponding analysis keywords are: - JOULE HEAT FRACTION """ def __init__(self, fraction: float = 1): """This method creates a JouleHeatFraction object. Notes ----- This function can be accessed by: .. code-block:: python mdb.models[name].materials[name].JouleHeatFraction session.odbs[name].materials[name].JouleHeatFraction Parameters ---------- fraction A Float specifying the fraction of electrical energy released as heat, including any unit conversion factor. The default value is 1.0. Returns ------- A JouleHeatFraction object. Raises ------ RangeError """ pass def setValues(self): """This method modifies the JouleHeatFraction object. Raises ------ RangeError """ pass

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6e70ff671299399e89b6373652e2f374c8bc1851

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py

Python

app/backend/gwells/migrations/0005_auto_20180629_0024.py

stephenhillier/gwells

235d35f1f40dd845f8fecd0d7c3371c4564567c6

[ "Apache-2.0" ]

null

app/backend/gwells/migrations/0005_auto_20180629_0024.py

stephenhillier/gwells

235d35f1f40dd845f8fecd0d7c3371c4564567c6

[ "Apache-2.0" ]

null

app/backend/gwells/migrations/0005_auto_20180629_0024.py

stephenhillier/gwells

235d35f1f40dd845f8fecd0d7c3371c4564567c6

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.11.13 on 2018-06-29 00:24 from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('gwells', '0004_auto_20180628_2350'), ] state_operations = [ migrations.RemoveField( model_name='activitysubmission', name='development_method', ), migrations.RemoveField( model_name='activitysubmission', name='driller_responsible', ), migrations.RemoveField( model_name='activitysubmission', name='drilling_method', ), migrations.RemoveField( model_name='activitysubmission', name='filter_pack_material', ), migrations.RemoveField( model_name='activitysubmission', name='filter_pack_material_size', ), migrations.RemoveField( model_name='activitysubmission', name='ground_elevation_method', ), migrations.RemoveField( model_name='activitysubmission', name='intended_water_use', ), migrations.RemoveField( model_name='activitysubmission', name='land_district', ), migrations.RemoveField( model_name='activitysubmission', name='liner_material', ), migrations.RemoveField( model_name='activitysubmission', name='owner_province_state', ), migrations.RemoveField( model_name='activitysubmission', name='screen_bottom', ), migrations.RemoveField( model_name='activitysubmission', name='screen_intake_method', ), migrations.RemoveField( model_name='activitysubmission', name='screen_material', ), migrations.RemoveField( model_name='activitysubmission', name='screen_opening', ), migrations.RemoveField( model_name='activitysubmission', name='screen_type', ), migrations.RemoveField( model_name='activitysubmission', name='surface_seal_material', ), migrations.RemoveField( model_name='activitysubmission', name='surface_seal_method', ), migrations.RemoveField( model_name='activitysubmission', name='water_quality_characteristics', ), migrations.RemoveField( model_name='activitysubmission', name='well_activity_type', ), migrations.RemoveField( model_name='activitysubmission', name='well_class', ), migrations.RemoveField( model_name='activitysubmission', name='well_subclass', ), migrations.RemoveField( model_name='activitysubmission', name='well_tag_number', ), migrations.RemoveField( model_name='activitysubmission', name='well_yield_unit', ), migrations.RemoveField( model_name='aquiferwell', name='well_tag_number', ), migrations.RemoveField( model_name='casing', name='activity_submission', ), migrations.RemoveField( model_name='casing', name='casing_code', ), migrations.RemoveField( model_name='casing', name='casing_material', ), migrations.RemoveField( model_name='casing', name='well_tag_number', ), migrations.RemoveField( model_name='linerperforation', name='activity_submission', ), migrations.RemoveField( model_name='linerperforation', name='well', ), migrations.RemoveField( model_name='ltsaowner', name='province_state', ), migrations.RemoveField( model_name='ltsaowner', name='well', ), migrations.RemoveField( model_name='perforation', name='well_tag_number', ), migrations.RemoveField( model_name='productiondata', name='activity_submission', ), migrations.RemoveField( model_name='productiondata', name='well', ), migrations.RemoveField( model_name='productiondata', name='well_yield_unit', ), migrations.RemoveField( model_name='productiondata', name='yield_estimation_method', ), migrations.RemoveField( model_name='screen', name='activity_submission', ), migrations.RemoveField( model_name='screen', name='assembly_type', ), migrations.RemoveField( model_name='screen', name='well', ), migrations.RemoveField( model_name='well', name='bcgs_id', ), migrations.RemoveField( model_name='well', name='decommission_method', ), migrations.RemoveField( model_name='well', name='development_method', ), migrations.RemoveField( model_name='well', name='drilling_company', ), migrations.RemoveField( model_name='well', name='drilling_method', ), migrations.RemoveField( model_name='well', name='filter_pack_material', ), migrations.RemoveField( model_name='well', name='filter_pack_material_size', ), migrations.RemoveField( model_name='well', name='ground_elevation_method', ), migrations.RemoveField( model_name='well', name='intended_water_use', ), migrations.RemoveField( model_name='well', name='land_district', ), migrations.RemoveField( model_name='well', name='licenced_status', ), migrations.RemoveField( model_name='well', name='liner_material', ), migrations.RemoveField( model_name='well', name='observation_well_status', ), migrations.RemoveField( model_name='well', name='owner_province_state', ), migrations.RemoveField( model_name='well', name='screen_bottom', ), migrations.RemoveField( model_name='well', name='screen_intake_method', ), migrations.RemoveField( model_name='well', name='screen_material', ), migrations.RemoveField( model_name='well', name='screen_opening', ), migrations.RemoveField( model_name='well', name='screen_type', ), migrations.RemoveField( model_name='well', name='surface_seal_material', ), migrations.RemoveField( model_name='well', name='surface_seal_method', ), migrations.RemoveField( model_name='well', name='water_quality_characteristics', ), migrations.RemoveField( model_name='well', name='well_class', ), migrations.RemoveField( model_name='well', name='well_status', ), migrations.RemoveField( model_name='well', name='well_subclass', ), migrations.RemoveField( model_name='well', name='well_yield_unit', ), migrations.RemoveField( model_name='wellsubclasscode', name='well_class', ), migrations.AlterField( model_name='lithologydescription', name='activity_submission', field=models.ForeignKey(blank=True, db_column='filing_number', null=True, on_delete=django.db.models.deletion.CASCADE, to='wells.ActivitySubmission'), ), migrations.AlterField( model_name='lithologydescription', name='water_bearing_estimated_flow_units', field=models.ForeignKey(blank=True, db_column='well_yield_unit_code', null=True, on_delete=django.db.models.deletion.CASCADE, to='wells.WellYieldUnitCode', verbose_name='Units'), ), migrations.AlterField( model_name='lithologydescription', name='well_tag_number', field=models.ForeignKey(blank=True, db_column='well_tag_number', null=True, on_delete=django.db.models.deletion.CASCADE, to='wells.Well'), ), migrations.DeleteModel( name='ActivitySubmission', ), migrations.DeleteModel( name='AquiferWell', ), migrations.DeleteModel( name='BCGS_Numbers', ), migrations.DeleteModel( name='Casing', ), migrations.DeleteModel( name='CasingCode', ), migrations.DeleteModel( name='CasingMaterialCode', ), migrations.DeleteModel( name='DecommissionMethodCode', ), migrations.DeleteModel( name='DevelopmentMethodCode', ), migrations.DeleteModel( name='DrillingCompany', ), migrations.DeleteModel( name='DrillingMethodCode', ), migrations.DeleteModel( name='FilterPackMaterialCode', ), migrations.DeleteModel( name='FilterPackMaterialSizeCode', ), migrations.DeleteModel( name='GroundElevationMethodCode', ), migrations.DeleteModel( name='IntendedWaterUseCode', ), migrations.DeleteModel( name='LandDistrictCode', ), migrations.DeleteModel( name='LicencedStatusCode', ), migrations.DeleteModel( name='LinerMaterialCode', ), migrations.DeleteModel( name='LinerPerforation', ), migrations.DeleteModel( name='LtsaOwner', ), migrations.DeleteModel( name='ObsWellStatusCode', ), migrations.DeleteModel( name='Perforation', ), migrations.DeleteModel( name='ProductionData', ), migrations.DeleteModel( name='Screen', ), migrations.DeleteModel( name='SurfaceSealMaterialCode', ), migrations.DeleteModel( name='SurfaceSealMethodCode', ), migrations.DeleteModel( name='WaterQualityCharacteristic', ), migrations.DeleteModel( name='Well', ), migrations.DeleteModel( name='WellActivityCode', ), migrations.DeleteModel( name='WellClassCode', ), migrations.DeleteModel( name='WellStatusCode', ), migrations.DeleteModel( name='WellSubclassCode', ), migrations.DeleteModel( name='WellYieldUnitCode', ), migrations.DeleteModel( name='YieldEstimationMethodCode', ), ] operations = [ migrations.SeparateDatabaseAndState( state_operations=state_operations) ]

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0.323411

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0.296862

0.07852

0.027031

0

0.004455

0.357954

11,887

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29.496278

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false

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0

null

0

1

0

1

0

null

0

4

6e7f7cd7645b6817aa04c87f2d158dd18bf2ae49

327

py

Python

harder/__init__.py

chbrown/harder

d7f44816dd1bf708961d7845eadb76cca3597505

[ "MIT" ]

3

2017-02-13T11:12:47.000Z

2021-04-21T21:08:09.000Z

harder/__init__.py

chbrown/harder

d7f44816dd1bf708961d7845eadb76cca3597505

[ "MIT" ]

null

harder/__init__.py

chbrown/harder

d7f44816dd1bf708961d7845eadb76cca3597505

[ "MIT" ]

null

import os # here is the directory containing this __init__.py file here = os.path.dirname(__file__) or os.curdir # root is the directory containing `here`, i.e., the directory containing setup.py root = os.path.dirname(os.path.abspath(here)) import pkg_resources __version__ = pkg_resources.get_distribution('harder').version

36.333333

82

0.788991

50

327

4.86

0.52

0.148148

0.271605

0.197531

0

0.11315

327

8

83

40.875

0.837931

0.412844

0

0.031746

0

1

0

false

0

0.4

0

0.4

0

null

0

1

0

1

0

null

0

1

0

4

6ec7c39465ffde98d3584690632c39e6a109c8e3

521

py

Python

r2_16.py

wonghoifung/learning-python

ad1691be1d185bfff828779a553b2c59d36d16ea

[ "MIT" ]

null

r2_16.py

wonghoifung/learning-python

ad1691be1d185bfff828779a553b2c59d36d16ea

[ "MIT" ]

null

r2_16.py

wonghoifung/learning-python

ad1691be1d185bfff828779a553b2c59d36d16ea

[ "MIT" ]

null

s = "Look into my eyes, look into my eyes, the eyes, the eyes, \ the eyes, not around the eyes, don't look around the eyes, \ look into my eyes, you're under." import textwrap print textwrap.fill(s,70) print '--------------' print textwrap.fill(s,40) print '--------------' print textwrap.fill(s,20) print '--------------' print textwrap.fill(s,20,initial_indent=' ') print '--------------' print textwrap.fill(s,20,subsequent_indent=' ') print '--------------' import os #print os.get_terminal_size().columns

26.05

64

0.614203

76

521

4.157895

0.368421

0.110759

0.268987

0.28481

0.490506

0.237342

0

0.022272

0.138196

521

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0.681514

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0.133333

null

0.666667

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null

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1

0

null

0

1

0

1

0

4

6ed9037a00b0eaec0e35ac64bb2c3b53dc3c4c53

70,925

py

Python

operations/dataimports/views.py

kaizer88/emps

2669b32c46befcf1a19390fb25013817e6b00980

[ "MIT" ]

null

operations/dataimports/views.py

kaizer88/emps

2669b32c46befcf1a19390fb25013817e6b00980

[ "MIT" ]

null

operations/dataimports/views.py

kaizer88/emps

2669b32c46befcf1a19390fb25013817e6b00980

[ "MIT" ]

null

from django import http from django.template.loader import render_to_string, get_template from django.template import RequestContext, Context from django.conf import settings from django.contrib.auth.decorators import login_required,user_passes_test,permission_required from django.core.mail import send_mail, EmailMessage from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger from django.shortcuts import render, redirect, render_to_response from django.core.urlresolvers import reverse from django.http import JsonResponse, HttpResponseRedirect, HttpResponse from datetime import datetime, timedelta, date from django.views.decorators.csrf import csrf_exempt import smtplib from email.MIMEMultipart import MIMEMultipart from email.MIMEBase import MIMEBase from email.MIMEText import MIMEText from email.Utils import COMMASPACE, formatdate from email import Encoders import csv import os from xhtml2pdf import pisa import cStringIO as StringIO import cgi from .forms import * from fleet.models import * from assets.models import * from employees.models import Employee, Contact from offices.models import Branch, Region from django.db.models import Count, Sum, Q import collections import json import re from sms.sms_helper import * from unidecode import unidecode def imports(request): upload_file_form = fileUploadForm(request.POST or None, request.FILES or None, prefix='doc') context = { 'title':"Data Imports", "upload_file_form": upload_file_form, } post = request.POST if request.POST: if post.get('upload', None): if request.POST.get('update_current_driver', None): update_current_driver(request) if request.POST.get('update_fuel_card_allocation', None): update_fuel_card_allocation(request) if request.POST.get('update_commission', None): update_commission(request) validated = upload_file_form.is_valid() if validated: uploaded = upload_file_form.save(commit=False) uploaded.file_name = uploaded.file.name uploaded.transaction = "Data Imports" uploaded.save() file = '%s/%s'% (settings.MEDIA_ROOT, uploaded.file) if request.POST.get('vehicles', None): import_vehicle(request, file) if request.POST.get('vehicle_allocations', None): import_vehicle_allocations(request, file) if request.POST.get('vehicle_incidences', None): import_incidences(request, file) if request.POST.get('fuel_cards', None): import_fuel_cards(request, file) if request.POST.get('vehicle_inspections', None): import_inspections(request, file) if request.POST.get('vehicle_maintenance', None): import_maint_data(request, file) if request.POST.get('service_bookins', None): import_service_bookings(request, file) if request.POST.get('traffic_fines', None): import_traffic_fines(request, file) if request.POST.get('vehicle_claims', None): import_claims(request, file) if request.POST.get('assets', None): import_assets(request, file) if request.POST.get('regions', None): import_regions(request, file) if request.POST.get('branches', None): import_branches(request, file) if request.POST.get('departments', None): import_departments(request, file) if request.POST.get('floors', None): import_floors(request, file) if request.POST.get('sections', None): import_sections(request, file) if request.POST.get('meters', None): import_meters(request, file) if request.POST.get('designations', None): import_designations(request, file) if request.POST.get('employees', None): import_employees(request, file) if request.POST.get('employees_update', None): update_employees(request, file) if request.POST.get('employee_contact', None): employee_contacts(request, file) if request.POST.get('mobiles', None): import_mobiles(request, file) if request.POST.get('fuel_usage', None): import_fuel_usage(request, file) if request.POST.get('mk_Sl_drivers', None): import_mk_Sl_drivers(request, file) context ={ 'title':"Records successfully imported", "upload_file_form": upload_file_form, } return render(request, "imports.html", context) def import_mk_Sl_drivers(request, import_file): upload_list = [] dataReader = csv.reader(open(import_file), delimiter=',', quotechar='"') flag = False x=0 emps = Employee.objects.all() for emp in emps: emp.department = Department.objects.filter(department="Sales").first() emp.save() for row in dataReader: if "Extract" in row[0] or "Extracted" in row[0] or "Code" in row[0] or row[0]=="": continue employee = Employee.objects.filter(commission_code=row[0]) if len(employee) > 0: employee = employee.first() employee.commission_code=row[0].replace("'","") employee.first_name= row[1].replace("'","") employee.national_id=row[2].replace("'","") if row[4]: region = Region.objects.get(region=row[4].replace("'","")) if not row[4]: employee.branch=Branch.objects.get(branch="Unknown Branch") elif region.region=="Western Cape": employee.branch=Branch.objects.get(branch="Head Office") else: employee.branch = Branch.objects.get(region=region, office_type="RO") if row[3]: code = row[3].replace("'","") employee.designation = Designation.objects.filter(prefix=code).first() if row[6]: code = row[6].replace("'","") employee.department = Department.objects.filter(department=code).first() employee.save() x +=1 print (x,employee.first_name, ' updated') upload_list.append(employee) else: employee = Employee() employee.commission_code=row[0].replace("'","") employee.first_name= row[1].replace("'","") employee.national_id=row[2].replace("'","") if row[4]: region = Region.objects.get(region=row[4].replace("'","")) if not row[4]: employee.branch=Branch.objects.get(branch="Unknown Branch") elif region.region=="Western Cape": employee.branch=Branch.objects.get(branch="Head Office") else: employee.branch = Branch.objects.get(region=region, office_type="RO") if row[3]: code = row[3].replace("'","") employee.designation = Designation.objects.filter(prefix=code).first() if row[6]: code = row[6].replace("'","") employee.department = Department.objects.filter(department=code).first() employee.save() x +=1 print(x,employee.first_name, ' imported') upload_list.append(employee) return upload_list def update_commission(request): employees = Employee.objects.all() for employee in employees: employee.commission_code = employee.commission_code.replace("'","") employee.save() print('updated') def import_maint_data(request, import_file): transaction_date = datetime.strptime("2017-02-01","%Y-%m-%d").date() VehicleMaintenance.objects.filter(maint_date__gte=transaction_date).delete() print("maintenance deleted", len(VehicleMaintenance.objects.filter(maint_date__gte=transaction_date))) ServiceBooking.objects.filter(service_date__gte=transaction_date).delete() print("bookings deleted",len(ServiceBooking.objects.filter(service_date__gte=transaction_date))) upload_list = [] unimported = [] dataReader = csv.reader(open(import_file), delimiter=',', quotechar='"') x=0 for row in dataReader: if row[0] == "" or row[1]== "" or row[5]== "": x+=1 print(x, "Row skipped") continue vehicle = Vehicle.objects.filter(licence_plate=row[1].replace("'","")).first() transaction_date = datetime.strptime(row[0].replace("'",""),"%Y-%m-%d").date() if vehicle: vehicle_allocation = VehicleAllocation.objects.filter(vehicle=vehicle, allocation_date__lte=transaction_date).order_by('-allocation_date').first() if vehicle_allocation: employee = vehicle_allocation.driver else: vehicle_allocation = VehicleAllocation.objects.filter(vehicle=vehicle).order_by('allocation_date').first() if vehicle_allocation: employee = vehicle_allocation.driver else: employee = vehicle.get_current_driver() if employee: if 'Service' in row[5]: booking = ServiceBooking()#.objects.get_or_create(vehicle=vehicle, driver=employee, booking_date=transaction_date) booking.booking_date = transaction_date booking.service_date = transaction_date booking.vehicle = vehicle booking.driver = employee booking.service_type = "Minor" booking.service_description = row[3].replace("'","") booking.garage = row[2].replace("'","") booking.mileage = float(row[4]) booking.next_service_mileage = int(int(row[4]) + int(vehicle.make_n_model.service_interval)) booking.serviced = True booking.created_by = request.user booking.save() latest_booking = ServiceBooking.objects.order_by('-id')[0] maintenance = VehicleMaintenance()#.get_or_create(vehicle=vehicle, driver=employee, maint_date=transaction_date, actual_cost=float(row[6])) maintenance.maint_date = transaction_date maintenance.maint_type = row[5].replace("'","") maintenance.vehicle = vehicle if row[4]: maintenance.current_mileage=int(row[4]) maintenance.driver = employee maintenance.description = row[3].replace("'","") maintenance.projected_cost = float(row[6]) maintenance.actual_cost = float(row[6]) maintenance.difference = 0 maintenance.status = "Good Condition" maintenance.service_provider = row[2].replace("'","") maintenance.service_booking_number = latest_booking maintenance.accept = True maintenance.authorize = "Aproved" maintenance.created_by = request.user maintenance.save() upload_list.append(maintenance) x+=1 print(x, vehicle, "Booking And Maintenance Imported") else: maintenance = VehicleMaintenance()#.get_or_create(vehicle=vehicle, driver=employee, maint_date=transaction_date, actual_cost=float(row[6])) maintenance.maint_date = transaction_date maintenance.maint_type = row[5].replace("'","") maintenance.vehicle = vehicle if row[4]: maintenance.current_mileage=int(row[4]) maintenance.driver = employee maintenance.description = row[3].replace("'","") maintenance.projected_cost = float(row[6]) maintenance.actual_cost = float(row[6]) maintenance.difference = 0 maintenance.status = "Good Condition" maintenance.service_provider = row[2] maintenance.accept = True maintenance.authorize = "Aproved" maintenance.created_by = request.user maintenance.save() upload_list.append(maintenance) x+=1 print(x, vehicle, "Maintenance Imported") else: x+=1 print(x, row[1], "Not Imported") return upload_list def import_fuel_cards(request, import_file): upload_list = [] dataReader = csv.reader(open(import_file), delimiter=',', quotechar='"') capture_date = date.today() for row in dataReader: if not row[0] == "TransactionType": fuel_card_count = FuelCard.objects.filter(card_number=row[0]).count() if fuel_card_count ==0: fuel_card = FuelCard() fuel_card.card_number = row[0] fuel_card.card_type = row[1] fuel_card.save() upload_list.append(fuel_card) return upload_list def import_fuel_usage(requests, import_file): upload_list = [] unimported = [] dataReader = csv.reader(open(import_file), delimiter=',', quotechar='"') x=0 for row in dataReader: if "FleetNodeNumber" in row[0] or "TOTALS" in row[0] or row[0] == "": continue vehicle = Vehicle.objects.filter(licence_plate=row[2].replace("'","")).first() transaction_date = datetime.strptime(row[9].replace("'",""),"%Y-%m-%d").date() if vehicle: vehicle_allocation = VehicleAllocation.objects.filter(vehicle=vehicle, allocation_date__lte=transaction_date).order_by('-allocation_date').first() if vehicle_allocation: employee = vehicle_allocation.driver else: employee = vehicle.current_driver usage = FuelUsage() usage.fleet_node_number=row[0] usage.fms_account_number=row[1] usage.vehicle = vehicle fuel_card = FuelCard.objects.filter(card_number=row[3].replace("'","")) if len(fuel_card) == 0: fc = FuelCard() fc.card_number = row[3] fc.card_type = "Absa Fleet" fc.save() ca = CardAllocation() ca.allocation_type = "Allocate Fuel Card" ca.allocation_date = datetime.now() ca.employee = employee ca.fuel_card = fc des = employee.designation if des =="Sales Manager" or des=="Regional Manager" or des=="Regional Sales Manager": ca.fuel_cycle_limit=5000 else: ca.fuel_cycle_limit=7000 ca.save() usage.fuel_card = fc else: usage.fuel_card = fuel_card.first() usage.driver = employee usage.cost_center_number = row[5] usage.cost_centre_name = row[6] usage.client_reference_1 = row[7] usage.client_reference_2 = row[8] usage.transaction_date = transaction_date usage.transaction_number = row[10] usage.merchant_name = row[11] usage.transaction_code = row[12] usage.transaction_description = row[13] usage.odometer_reading = row[14] usage.distance_travelled = row[15] usage.quantity = row[16] usage.amount = row[17].replace("R","") usage.private_usage = row[18] usage.inhouse_indicator = row[19] usage.current_usage = row[20] usage.save() x +=1 print (x, usage.vehicle, usage.driver) upload_list.append(usage) else: x +=1 print(x, row[2], "Not imported") unimported.append(row) print unimported return upload_list def import_mobiles(request, import_file): upload_list = [] dataReader = csv.reader(open(import_file), delimiter=',', quotechar='"') for row in dataReader: if not row[0] == "MSISDN": number = MobileNumber() number.phone_number=row[0] number.sim_number=row[1] number.service_provider = row[2] number.active=int(row[3]) number.created_by=request.user number.modified_by=request.user number.save() upload_list.append(number) return upload_list def update_current_driver(request): vehicles=Vehicle.objects.all() for v in vehicles: current_driver = v.get_current_driver() if current_driver != "Not Allocated": v.current_driver=v.get_current_driver() else: v.current_driver=None v.save() print (v.licence_plate, v.current_driver,' updated') def update_fuel_card_allocation(request): allocations = VehicleAllocation.objects.all() for a in allocations: ca = CardAllocation() if a.transaction_type=="Allocated": ca.allocation_type = "Allocate Fuel Card" if a.transaction_type=="Returned" or a.transaction_type=="Returned_To_SP": ca.allocation_type = "Return Fuel Card" ca.allocation_date = a.allocation_date ca.employee = a.driver ca.fuel_card = a.fuel_card des = a.driver.designation if des =="Sales Manager" or des=="Regional Manager" or des=="Regional Sales Manager": ca.fuel_cycle_limit=5000 else: ca.fuel_cycle_limit=7000 ca.save() print('card allocation saved for ',ca.fuel_card) def employee_contacts(request, import_file): upload_list = [] dataReader = csv.reader(open(import_file), delimiter=';', quotechar='"') capture_date = date.today() for row in dataReader: if not row[0] == "id": if not row[14]=="0": contact = Contact() contact.id = row[0] contact.email = row[1] contact.celphone =row[2] contact.telephone = row[3] contact.fax = row[4] contact.res_address1 = row[5] contact.res_address2 = row[6] contact.res_address3 = row[7] contact.res_address4 = row[8] contact.res_address_postal_code = row[9] contact.postal_address1 = row[10] contact.postal_address2 = row[11] contact.postal_address3 = row[12] contact.postal_postal_code = row[13] contact.employee = Employee.objects.get(pk=row[14]) contact.save() upload_list.append(contact) return upload_list def update_employees(request, import_file): upload_list = [] dataReader = csv.reader(open(import_file), delimiter=',', quotechar='"') x=0 for row in dataReader: if "Extract" in row[0] or row[0] == "Extracted:" or "id" in row[0] or row[0] == "Code": continue employee = Employee.objects.get(pk=int(row[0])) # if row[1]: # fn=row[1] # if row[2]: # fn = fn + ' '+ row[2] # if row[3]: # fn = fn + ' '+ row[3] # employee.first_name=fn employee.commission_code=row[7] if row[8]: employee.national_id=row[8] if row[7]: employee.branch = Branch.objects.get(id=row[10]) employee.save() x +=1 print (x, ' updated') upload_list.append(employee) return upload_list def import_employees(request, import_file): upload_list = [] dataReader = csv.reader(open(import_file), delimiter=',', quotechar='"') flag = False x=0 des= request.POST.get('designation', None) for row in dataReader: if "Extract" in row[0] or "Extracted" in row[0] or "Code" in row[0] or row[0]=="": continue employee = Employee.objects.filter(commission_code=row[0]) if len(employee) > 0: employee = employee.first() employee.commission_code=row[0].replace("'","") employee.first_name= row[2].replace("'","") employee.national_id=row[3].replace("'","") employee.designation=Designation.objects.get(id=des) if row[4]: region = Region.objects.get(region=row[4][5:]) if not row[4]: employee.branch=Branch.objects.get(branch="Unknown Branch") elif region.region=="Western Cape": employee.branch=Branch.objects.get(branch="Head Office") else: employee.branch = Branch.objects.get(region=region, office_type="RO") if row[15]: code = row[15].replace("'","").split(' -', 1)[0] employee.regional_manager = Employee.objects.filter(commission_code=code).first() if row[16]: code = row[16].replace("'","").split(' -', 1)[0] employee.regional_sales_manager = Employee.objects.filter(commission_code=code).first() if row[17]: code = row[17].replace("'","").split(' -', 1)[0] employee.regional_admin_manager = Employee.objects.filter(commission_code=code).first() if row[18]: code = row[18].replace("'","").split(' -', 1)[0] employee.branch_manager = Employee.objects.filter(commission_code=code).first() if row[19]: code = row[19].replace("'","").split(' -', 1)[0] employee.district_manager = Employee.objects.filter(commission_code=code).first() if row[20]: code = row[20].replace("'","").split(' -', 1)[0] employee.assistant_district_manager = Employee.objects.filter(commission_code=code).first() employee.save() x +=1 print (x, ' updated') upload_list.append(employee) else: employee = Employee() employee.commission_code=row[0].replace("'","") employee.first_name= row[2].replace("'","") employee.national_id=row[3].replace("'","") employee.designation=Designation.objects.get(id=des) if row[4]: region = Region.objects.get(region=row[4][5:]) if not row[4]: employee.branch=Branch.objects.get(branch="Unknown Branch") elif region.region=="Western Cape": employee.branch=Branch.objects.get(branch="Head Office") else: employee.branch = Branch.objects.get(region=region, office_type="RO") if row[15]: code = row[15].replace("'","").split(' -', 1)[0] employee.regional_manager = Employee.objects.filter(commission_code=code).first() if row[16]: code = row[16].replace("'","").split(' -', 1)[0] employee.regional_sales_manager = Employee.objects.filter(commission_code=code).first() if row[17]: code = row[17].replace("'","").split(' -', 1)[0] employee.regional_admin_manager = Employee.objects.filter(commission_code=code).first() if row[18]: code = row[18].replace("'","").split(' -', 1)[0] employee.branch_manager = Employee.objects.filter(commission_code=code).first() if row[19]: code = row[19].replace("'","").split(' -', 1)[0] employee.district_manager = Employee.objects.filter(commission_code=code).first() if row[20]: code = row[20].replace("'","").split(' -', 1)[0] employee.assistant_district_manager = Employee.objects.filter(commission_code=code).first() employee.save() x +=1 print(x, ' imported') upload_list.append(employee) return upload_list def import_designations(request, import_file): upload_list = [] dataReader = csv.reader(open(import_file), delimiter=',', quotechar='"') for row in dataReader: if not row[0] == "id": designation = Designation.objects.filter(id=row[0]) if len(designation)>0: designation = Designation.objects.filter(id=row[0]).first() designation.designation=row[1] designation.prefix=row[2] designation.save() upload_list.append(designation) else: designation = Designation() designation.designation=row[1] designation.prefix=row[2] designation.save() upload_list.append(designation) return upload_list def import_meters(request, import_file): upload_list = [] dataReader = csv.reader(open(import_file), delimiter=';', quotechar='"') for row in dataReader: if not row[0] == "id": meter = ElectricityMeterNumber() meter.meter_number=row[1] meter.meter_type=row[2] meter.service_provider=row[3] meter.branch = Branch.objects.get(pk=row[4]) meter.save() upload_list.append(meter) return upload_list def import_sections(request, import_file): upload_list = [] dataReader = csv.reader(open(import_file), delimiter=',', quotechar='"') for row in dataReader: if not row[0] == "id": section = Section() section.section_no=row[1] section.description=row[2] section.floor = Floor.objects.get(pk=row[3]) section.save() upload_list.append(section) return upload_list def import_floors(request, import_file): upload_list = [] dataReader = csv.reader(open(import_file), delimiter=',', quotechar='"') for row in dataReader: if not row[0] == "id": floor = Floor() floor.floor=row[1] floor.branch = Branch.objects.get(pk=row[2]) floor.save() upload_list.append(floor) return upload_list def import_departments(request, import_file): upload_list = [] dataReader = csv.reader(open(import_file), delimiter=';', quotechar='"') for row in dataReader: if not row[0] == "id": department = Department() department.department = row[1] department.prefix = row[2] department.save() upload_list.append(department) return upload_list def import_branches(request, import_file): upload_list = [] dataReader = csv.reader(open(import_file), delimiter=';', quotechar='"') for row in dataReader: if not row[0] == "id": branch = Branch() branch.branch = row[1] branch.prefix = row[2] branch.office_type = row[3] branch.email = row[4] branch.celphone = row[5] branch.address = row[6] branch.street_address = row[7] branch.suburb = row[8] branch.city = row[9] branch.postal_code = row[10] branch.telephone = row[11] branch.telephone2 = row[12] branch.telephone3 = row[13] branch.telephone4 = row[14] branch.fax = row[15] branch.fax2 = row[16] branch.region = Region.objects.get(pk=row[17]) branch.save() upload_list.append(branch) return upload_list def import_regions(request, import_file): upload_list = [] dataReader = csv.reader(open(import_file), delimiter=';', quotechar='"') for row in dataReader: if not row[0] == "id": region = Region() region.region = row[1] region.prefix = row[2] region.save() upload_list.append(region) return upload_list def import_assets(request, import_file): upload_list = [] dataReader = csv.reader(open(import_file), delimiter=',', quotechar='"') for row in dataReader: if not row[0] == "AssetsTag": existing_asset = Asset.objects.filter(serial=row[3]) if existing_asset.count()==0: asset = Asset() asset.description = unidecode(row[1].decode('utf-8')) asset.model = unidecode(row[2].decode('utf-8')) asset.serial = row[3] category = row[4] asset.category = category if category == "office furniture": prefix = "OF" elif category == "office appliances": prefix = "OA" elif category == "kitchen staff": prefix = "KS" elif category == "decorations": prefix = "DE" else : prefix = "IT" asset.branch = Branch.objects.get(pk = int(row[11])) latest_id = str(Asset.objects.count()+1).zfill(6) asset.tag = asset.branch.prefix+prefix+latest_id asset.department = Department.objects.get(pk = int(row[9])) asset.active=int(row[12]) if row[6]: try: asset.purchase_date = datetime.strptime(row[6], "%Y-%m-%d").date() except: asset.purchase_date = datetime.strptime(row[6], "%d-%m-%Y").date() if row[7]: asset.purchase_price = row[7] else: asset.purchase_price = 0 asset.invoice_number = row[5] asset.supplier = row[8] asset.warranty = row[10] asset.status = row[14] asset.condition = "brand new" asset.insured = True asset.accept= True asset.authorize="aproved" asset.created_by=request.user asset.modified_by=request.user print(asset.tag +"-"+ asset.description +"-"+ asset.serial) asset.save() upload_list.append(asset) return upload_list def import_comments(request): import_list = [] transactions = Incident.objects.all() for transaction in transactions: if not transaction.recomendations == "": comment = Comment() comment.comments = transaction.recomendations comment.vehicle = transaction.vehicle comment.comment_type = "Incidences" comment.obj_id = transaction.id comment.created_by = request.user print(comment.vehicle, comment.comment_type) comment.save() import_list.append(comment) return import_list def import_claims(request, import_file): upload_list = [] dataReader = csv.reader(open(import_file), delimiter=',', quotechar='"') capture_date = date.today() for row in dataReader: if not row[0] == "SubmissionDate": claim = InsuranceClaim() employee = row[9] drivers = Employee.objects.filter(employee_old_id = employee) if len(drivers) > 0: driver = drivers.first() claim.driver = driver licence_plate = str(row[10]) vehicles = Vehicle.objects.filter(licence_plate = licence_plate) print(licence_plate, ": Data Imported") if len(vehicles) > 0: vehicle = vehicles.first() claim.vehicle = vehicle submission_date = datetime.strptime(row[0], "%Y-%m-%d").date() claim.submission_date = submission_date claim_number = row[1] if claim_number == "": claim_number = "%s-%s-%s"%(driver.id,vehicle.id,row[0]) claim.claim_number = claim_number payout_date = datetime.strptime(row[2], "%Y-%m-%d").date() claim.payout_date = payout_date claim.payout_amount = row[3] sp_payout_date = datetime.strptime(row[4], "%Y-%m-%d").date() claim.sp_payout_date = sp_payout_date claim.sp_payout_amount = row[5] claim.excess = row[6] claim.comments = row[7] claim.claim_status = row[8] claim.save() upload_list.append(claim) return upload_list def import_traffic_fines(request, import_file): upload_list = [] dataReader = csv.reader(open(import_file), delimiter=',', quotechar='"') capture_date = date.today() for row in dataReader: if not row[0] == "NoticeNumber": notice_number = row[0] existing = Trafficfine.objects.filter(notice_number=notice_number).count() if existing == 0: fine = Trafficfine() fine.notice_number = row[0] offence_date = datetime.strptime(row[1], "%Y-%m-%d").date() fine.offence_date = offence_date due_date = datetime.strptime(row[2], "%Y-%m-%d").date() fine.due_date = due_date fine.description = str(row[3]) fine.location = row[4] fine.amount = row[5] court_date = datetime.strptime(row[6], "%Y-%m-%d").date() fine.court_date = court_date fine.serious_offence = int(row[7]) fine.awaiting_summons = int(row[8]) fine.court_appearance = int(row[9]) fine.court_attended = int(row[10]) fine.paid = int(row[11]) date_paid = datetime.strptime(row[12], "%Y-%m-%d").date() if row[12] == "1900-01-01": date_paid = due_date fine.payment_date = date_paid employee = row[13] drivers = Employee.objects.filter(employee_old_id = employee) if len(drivers) > 0: driver = drivers.first() fine.driver = driver licence_plate = str(row[14]) vehicles = Vehicle.objects.filter(licence_plate = licence_plate) print("Vehicle:>>",licence_plate, notice_number, ":>>Data Imported") if len(vehicles) > 0: vehicle = vehicles.first() fine.vehicle = vehicle fine.save() upload_list.append(fine) return upload_list def import_service_bookings(request, import_file): upload_list = [] dataReader = csv.reader(open(import_file), delimiter=',', quotechar='"') capture_date = date.today() for row in dataReader: # if not row[0] == "ServiceType": service = ServiceBooking() service.service_type = "Major Service" service.sevice_description = row[2] booking_date = datetime.strptime(row[1], "%Y-%m-%d").date() service.booking_date = booking_date svc_date = datetime.strptime(row[1], "%Y-%m-%d").date() service.service_date = svc_date service.garage = row[4] service.mileage = row[7] service.wheel_alignment = True service.wheel_balancing = True service.change_cam_belt = False service.air_con_regass = False service.created_by = request.user service.modified_by = request.user employee = row[10] drivers = Employee.objects.filter(employee_old_id = employee) if len(drivers) > 0: driver = drivers.first() service.driver = driver licence_plate = str(row[0]) vehicles = Vehicle.objects.filter(licence_plate = licence_plate) print(licence_plate, ": Data Imported") if len(vehicles) > 0: vehicle = vehicles.first() service.vehicle = vehicle svi = VehicleMakeAndModel.objects.get(pk=vehicle.make_n_model_id) service_interval=svi.service_interval service.next_service_mileage = round(int(service.mileage) + int(service_interval), 4) service.save() upload_list.append(service) return upload_list def import_maintenance(request, import_file): upload_list = [] dataReader = csv.reader(open(import_file), delimiter=',', quotechar='"') capture_date = date.today() for row in dataReader: # if not row[0] == "MaintDate": maintenance = VehicleMaintenance() employee = row[10] drivers = Employee.objects.filter(employee_old_id = employee) if len(drivers) > 0: driver = drivers.first() maintenance.driver = driver licence_plate = str(row[0]) vehicles = Vehicle.objects.filter(licence_plate = licence_plate) print(licence_plate, ": Data Imported") if len(vehicles) > 0: vehicle = vehicles.first() maintenance.vehicle = vehicle maint_date = datetime.strptime(row[1], "%Y-%m-%d").date() maintenance.maint_date = maint_date maintenance.maint_type = row[8] maintenance.current_mileage = row[7] maintenance.description = row[2] maintenance.projected_cost = row[11] maintenance.actual_cost = row[12] maintenance.difference = row[13] maintenance.status = "Good Condition" maintenance.invoice_number = row[3] maintenance.service_provider = row[4] maintenance.created_by=request.user maintenance.modified_by=request.user maintenance.accept=True maintenance.authorize="Aproved" if "Service" in str(row[8]): service = ServiceBooking.objects.filter(vehicle=maintenance.vehicle, booking_date=maintenance.maint_date, mileage=maintenance.current_mileage ).order_by('-id')[0] maintenance.service_booking_number = service maintenance.save() upload_list.append(maintenance) return upload_list def import_incidences(request, import_file): upload_list = [] dataReader = csv.reader(open(import_file), delimiter=',', quotechar='"') capture_date = date.today() for row in dataReader: if not row[0] == "IncidentDate": incident = Incident() employee = row[59] drivers = Employee.objects.filter(employee_old_id = employee) if len(drivers) > 0: driver = drivers.first() incident.driver = driver licence_plate = str(row[60]) vehicles = Vehicle.objects.filter(licence_plate = licence_plate) print(licence_plate, ": Data Imported") if len(vehicles) > 0: vehicle = vehicles.first() incident.vehicle = vehicle inc_date = datetime.strptime(row[0], "%Y-%m-%d").date() incident.incident_date = inc_date inc_time = datetime.strptime(row[1], "%H:%M").time() incident.time_of_incident = inc_time incident.incident_type = row[2] case_number = row[3] if case_number == "": case_number = "%s-%s-%s"%(driver.id,vehicle.id,row[0]) incident.case_number = case_number incident.location = row[4] incident.Description = row[5] incident.recomendations = row[6] incident.date_reported = row[7] incident.police_station = row[8] incident.damage_extent = row[9] incident.right_rear_fender =row[10] incident.right_rear_wheel = row[11] incident.right_rear_door = row[12] incident.right_rear_lamp = row[13] incident.right_rear_window = row[14] incident.right_rear_door_window = row[15] incident.right_rear_viewmirror = row[16] incident.right_front_door_window = row[17] incident.right_front_door = row[18] incident.right_front_wheel = row[19] incident.right_front_fender = row[20] incident.right_head_lamp = row[21] incident.left_rear_fender =row[22] incident.left_rear_wheel = row[23] incident.left_rear_door = row[24] incident.left_rear_lamp = row[25] incident.left_rear_window = row[26] incident.left_rear_door_window = row[27] incident.left_rear_viewmirror = row[28] incident.left_front_door_window = row[29] incident.left_front_door = row[30] incident.left_front_wheel = row[31] incident.left_front_fender = row[32] incident.left_head_lamp = row[33] incident.rear_bumper = row[34] incident.boot_door = row[35] incident.rear_wind_screen = row[36] incident.car_top = row[37] incident.wind_screen = row[38] incident.hood = row[39] incident.grill = row[40] incident.front_bumper = row[41] incident.chasis = row[42] incident.suspension = row[43] incident.engine = row[44] incident.gear_box = row[45] incident.dashboard = row[46] incident.dashboard_controls = row[47] incident.sound_system = row[48] incident.steering = row[49] incident.left_front_seat = row[50] incident.rear_seat = row[51] incident.right_front_seat = row[52] incident.door_panels = row[53] incident.foot_pedals = row[54] incident.hand_brake = row[55] incident.capets = row[56] incident.ceiling = row[57] incident.current_mileage = row[58] incident.save() upload_list.append(incident) return upload_list def import_inspections(request, import_file): upload_list = [] dataReader = csv.reader(open(import_file), delimiter=',', quotechar='"') capture_date = date.today() for row in dataReader: # if not row[0] == "LogDate": insepction = MileageLog() log_date = datetime.strptime(row[0], "%Y-%m-%d").date() insepction.log_date = log_date insepction.starting_mileage = float(row[4]) insepction.current_mileage = float(row[5]) insepction.mileage = float(row[6]) insepction.fuel_balance_bf = 0 insepction.fuel_used = 0 insepction.fuel_balance = 0 insepction.doors = 1 insepction.seats = 1 insepction.body = 1 insepction.tires = 1 insepction.interior = 1 insepction.boot = 1 insepction.under_hood = 1 insepction.engine_check = 1 insepction.exhaust_check = 1 insepction.features_check = 1 insepction.sound_system = 1 insepction.steering = 1 insepction.brakes = 1 insepction.transmission = 1 insepction.overall_feel = 1 start_date = datetime.strptime(row[7], "%Y-%m-%d").date() insepction.start_date = start_date end_date = datetime.strptime(row[8], "%Y-%m-%d").date() insepction.end_date = end_date employee = row[10] insepction.created_by=request.user insepction.modified_by=request.user drivers = Employee.objects.filter(employee_old_id = employee) if len(drivers) > 0: driver = drivers.first() insepction.driver = driver licence_plate = str(row[1]) vehicles = Vehicle.objects.filter(licence_plate = licence_plate) print(licence_plate, ": Data Imported") if len(vehicles) > 0: vehicle = vehicles.first() insepction.vehicle = vehicle insepction.save() upload_list.append(insepction) return upload_list def import_vehicle_allocations(request, import_file): upload_list = [] dataReader = csv.reader(open(import_file), delimiter=',', quotechar='"') capture_date = date.today() for row in dataReader: # if not row[0] == "TransactionType": allocation = VehicleAllocation() allocation.transaction_type = row[1] allo_date = datetime.strptime(row[0], "%Y-%m-%d").date() allocation.allocation_date = allo_date allocation.cycle_limit = 5000 allocation.mileage = float(row[8]) allocation.status = row[5] allocation.accept=True allocation.authorize=True allocation.created_by=request.user allocation.modified_by=request.user employee = row[3] drivers = Employee.objects.filter(employee_old_id = employee) if len(drivers) > 0: driver = drivers.first() allocation.driver = driver card = row[4] petrol_cards = FuelCard.objects.filter(card_number =card) if len(petrol_cards) > 0: petrol_card = petrol_cards.first() allocation.fuel_card = petrol_card licence_plate = row[2] vehicles = Vehicle.objects.filter(licence_plate = licence_plate) if len(vehicles) > 0: vehicle = vehicles.first() allocation.vehicle = vehicle allocation.save() upload_list.append(vehicle) return upload_list def import_vehicle(request, import_file): upload_list = [] dataReader = csv.reader(open(import_file), delimiter=',', quotechar='"') capture_date = date.today() for row in dataReader: if not row[0] == "LicencePlate": vehicle= Vehicle() vehicle.vehicle = row[0] vehicle.ownership_type = row[1] vehicle.vin_number = row[2] vehicle.model_year = row[3] vehicle.signing_mileage = float(row[4]) licence_date = datetime.strptime(row[5], "%Y-%m-%d").date() vehicle.licence_disk_expiry = licence_date vehicle.color = row[6] vehicle.status = row[7] vehicle.available = int(row[8]) vehicle.active = int(row[9]) re_start_date = datetime.strptime(row[10], "%Y-%m-%d").date() vehicle.rental_start_date = re_start_date re_end_date = datetime.strptime(row[11], "%Y-%m-%d").date() vehicle.rental_end_date = re_end_date purchase_date = datetime.strptime(row[12], "%Y-%m-%d").date() vehicle.purchase_date = purchase_date vehicle.purchase_amount = float(row[13]) vehicle.supplier = row[14] vehicle.condition = row[15] vehicle.invoice_number = row[16] vehicle.warranty_expiry = row[17] vehicle.financier = row[18] vehicle.on_sp = int(row[19]) vehicle.on_mo = int(row[20]) vehicle.plan_provider = row[21] vehicle.period = row[22] start_date = datetime.strptime(row[23], "%Y-%m-%d").date() vehicle.start_date = start_date end_date = datetime.strptime(row[24], "%Y-%m-%d").date() vehicle.end_date = end_date vehicle.mileage_covered = float(row[25]) vehicle.fuel_balance = float(row[26]) vehicle.current_driver_id = row[28] vehicle.make_n_model_id = row[29] vehicle.save() upload_list.append(vehicle) return upload_list # def imports(request): # upload_file_form = fileUploadForm(request.POST or None, request.FILES or None, prefix='doc') # context = { # "upload_file_form": upload_file_form, # } # post = request.POST # if request.POST: # if u'upload' in post: # # services = ServiceBooking.objects.all() # # for service in services: # # service.next_service_mileage = service.mileage + 10000 # # service.save() # # print("Saved") # validated = upload_file_form.is_valid() # if validated: # uploaded = upload_file_form.save(commit=False) # uploaded.file_name = uploaded.file.name # uploaded.transaction = "Data Imports" # uploaded.save() # file = '%s/%s'% (settings.MEDIA_ROOT, uploaded.file) # # import_vehicle(request, file) # # import_vehicle_allocations(request, file) # # import_fuel_cards(request, file) # # import_inspections(request, file) # # import_incidences(request, file) # # import_maintenance(request, file) # # import_service_bookings(request, file) # # import_traffic_fines(request, file) # # import_claims(request, file) # employee_contacts(request, file) # # transactions = VehicleMaintenance.objects.all() # # for transaction in transactions: # # if not transaction.comments == "": # # comment = Comment() # # comment.comments = transaction.comments # # comment.vehicle = transaction.vehicle # # comment.comment_type = "VehicleMaintenance" # # comment.obj_id = transaction.id # # comment.created_by = request.user # # print(comment.vehicle, comment.comment_type) # # comment.save() # return HttpResponseRedirect(reverse('fleet:vehiclesList')) # return render(request, "imports.html", context) # def employee_contacts(request, import_file): # upload_list = [] # dataReader = csv.reader(open(import_file), delimiter=',', quotechar='"') # capture_date = date.today() # for row in dataReader: # if not row[0] == "FullName": # contact = Contact() # employee = row[11] # drivers = Employee.objects.filter(employee_old_id = employee) # if len(drivers) > 0: # driver = drivers.first() # contact.employee = driver # contact.email = row[6] # contact.celphone ='0%s'%(row[7]) # contact.res_address1 = row[5] # contact.save() # upload_list.append(contact) # return upload_list # def import_comments(request): # import_list = [] # transactions = Incident.objects.all() # for transaction in transactions: # if not transaction.recomendations == "": # comment = Comment() # comment.comments = transaction.recomendations # comment.vehicle = transaction.vehicle # comment.comment_type = "Incidences" # comment.obj_id = transaction.id # comment.created_by = request.user # print(comment.vehicle, comment.comment_type) # comment.save() # import_list.append(comment) # return import_list # def import_claims(request, import_file): # upload_list = [] # dataReader = csv.reader(open(import_file), delimiter=',', quotechar='"') # capture_date = date.today() # for row in dataReader: # if not row[0] == "SubmissionDate": # claim = InsuranceClaim() # employee = row[9] # drivers = Employee.objects.filter(employee_old_id = employee) # if len(drivers) > 0: # driver = drivers.first() # claim.driver = driver # licence_plate = str(row[10]) # vehicles = Vehicle.objects.filter(vehicle = licence_plate) # print(licence_plate, ">>>>>>>Data Imported") # if len(vehicles) > 0: # vehicle = vehicles.first() # claim.vehicle = vehicle # submission_date = datetime.strptime(row[0], "%Y-%m-%d").date() # claim.submission_date = submission_date # claim_number = row[1] # if claim_number == "": # claim_number = "%s-%s-%s"%(driver.id,vehicle.id,row[0]) # claim.claim_number = claim_number # payout_date = datetime.strptime(row[2], "%Y-%m-%d").date() # claim.payout_date = payout_date # claim.payout_amount = row[3] # sp_payout_date = datetime.strptime(row[4], "%Y-%m-%d").date() # claim.sp_payout_date = sp_payout_date # claim.sp_payout_amount = row[5] # claim.excess = row[6] # claim.comments = row[7] # claim.claim_status = row[8] # claim.save() # upload_list.append(claim) # return upload_list # def import_traffic_fines(request, import_file): # upload_list = [] # dataReader = csv.reader(open(import_file), delimiter=',', quotechar='"') # capture_date = date.today() # for row in dataReader: # if not row[0] == "NoticeNumber": # notice_number = row[0] # existing = Trafficfine.objects.filter(notice_number=notice_number).count() # if existing == 0: # fine = Trafficfine() # fine.notice_number = row[0] # offence_date = datetime.strptime(row[1], "%Y-%m-%d").date() # fine.offence_date = offence_date # due_date = datetime.strptime(row[2], "%Y-%m-%d").date() # fine.due_date = due_date # fine.description = str(row[3]) # fine.location = row[4] # fine.amount = row[5] # court_date = datetime.strptime(row[6], "%Y-%m-%d").date() # fine.court_date = court_date # fine.serious_offence = int(row[7]) # fine.awaiting_summons = int(row[8]) # fine.court_appearance = int(row[9]) # fine.court_attended = int(row[10]) # fine.paid = int(row[11]) # date_paid = datetime.strptime(row[12], "%Y-%m-%d").date() # if row[12] == "1900-01-01": # date_paid = due_date # fine.payment_date = date_paid # employee = row[13] # drivers = Employee.objects.filter(employee_old_id = employee) # if len(drivers) > 0: # driver = drivers.first() # fine.driver = driver # licence_plate = str(row[14]) # vehicles = Vehicle.objects.filter(vehicle = licence_plate) # print("Vehicle:>>",licence_plate, notice_number, ":>>Data Imported") # if len(vehicles) > 0: # vehicle = vehicles.first() # fine.vehicle = vehicle # fine.save() # upload_list.append(fine) # return upload_list # def import_service_bookings(request, import_file): # upload_list = [] # dataReader = csv.reader(open(import_file), delimiter=',', quotechar='"') # capture_date = date.today() # for row in dataReader: # if not row[0] == "ServiceType": # service = ServiceBooking() # service.service_type = row[0] # service.sevice_description = row[1] # booking_date = datetime.strptime(row[2], "%Y-%m-%d").date() # service.booking_date = booking_date # svc_date = datetime.strptime(row[3], "%Y-%m-%d").date() # service.service_date = svc_date # service.garage = row[4] # service.mileage = row[5] # service.next_service_mileage = row[6] # service.wheel_alignment = row[7] # service.wheel_balancing = row[8] # service.change_cam_belt = row[9] # service.air_con_regass = row[10] # employee = row[11] # drivers = Employee.objects.filter(employee_old_id = employee) # if len(drivers) > 0: # driver = drivers.first() # service.driver = driver # licence_plate = str(row[12]) # vehicles = Vehicle.objects.filter(vehicle = licence_plate) # print(licence_plate, ">>>>>>>Data Imported") # if len(vehicles) > 0: # vehicle = vehicles.first() # service.vehicle = vehicle # service.save() # upload_list.append(service) # return upload_list # def import_maintenance(request, import_file): # upload_list = [] # dataReader = csv.reader(open(import_file), delimiter=',', quotechar='"') # capture_date = date.today() # for row in dataReader: # if not row[0] == "MaintDate": # maintenance = VehicleMaintenance() # employee = row[11] # drivers = Employee.objects.filter(employee_old_id = employee) # if len(drivers) > 0: # driver = drivers.first() # maintenance.driver = driver # licence_plate = str(row[12]) # vehicles = Vehicle.objects.filter(vehicle = licence_plate) # print(licence_plate, ">>>>>>>Data Imported") # if len(vehicles) > 0: # vehicle = vehicles.first() # maintenance.vehicle = vehicle # maint_date = datetime.strptime(row[0], "%Y-%m-%d").date() # maintenance.maint_date = maint_date # maintenance.maint_type = row[1] # maintenance.current_mileage = row[2] # maintenance.description = row[3] # maintenance.projected_cost = row[4] # maintenance.actual_cost = row[5] # maintenance.difference = row[6] # maintenance.status = row[7] # maintenance.comments = row[8] # maintenance.invoice_number = row[9] # maintenance.service_provider = row[10] # maintenance.save() # upload_list.append(maintenance) # return upload_list # def import_incidences(request, import_file): # upload_list = [] # dataReader = csv.reader(open(import_file), delimiter=',', quotechar='"') # capture_date = date.today() # for row in dataReader: # if not row[0] == "IncidentDate": # incident = Incident() # employee = row[59] # drivers = Employee.objects.filter(employee_old_id = employee) # if len(drivers) > 0: # driver = drivers.first() # incident.driver = driver # licence_plate = str(row[60]) # vehicles = Vehicle.objects.filter(vehicle = licence_plate) # print(licence_plate, ">>>>>>>Data Imported") # if len(vehicles) > 0: # vehicle = vehicles.first() # incident.vehicle = vehicle # inc_date = datetime.strptime(row[0], "%Y-%m-%d").date() # incident.incident_date = inc_date # inc_time = datetime.strptime(row[1], "%H:%M").time() # incident.time_of_incident = inc_time # incident.incident_type = row[2] # case_number = row[3] # if case_number == "": # case_number = "%s-%s-%s"%(driver.id,vehicle.id,row[0]) # incident.case_number = case_number # incident.location = row[4] # incident.Description = row[5] # incident.recomendations = row[6] # incident.date_reported = row[7] # incident.police_station = row[8] # incident.damage_extent = row[9] # incident.right_rear_fender =row[10] # incident.right_rear_wheel = row[11] # incident.right_rear_door = row[12] # incident.right_rear_lamp = row[13] # incident.right_rear_window = row[14] # incident.right_rear_door_window = row[15] # incident.right_rear_viewmirror = row[16] # incident.right_front_door_window = row[17] # incident.right_front_door = row[18] # incident.right_front_wheel = row[19] # incident.right_front_fender = row[20] # incident.right_head_lamp = row[21] # incident.left_rear_fender =row[22] # incident.left_rear_wheel = row[23] # incident.left_rear_door = row[24] # incident.left_rear_lamp = row[25] # incident.left_rear_window = row[26] # incident.left_rear_door_window = row[27] # incident.left_rear_viewmirror = row[28] # incident.left_front_door_window = row[29] # incident.left_front_door = row[30] # incident.left_front_wheel = row[31] # incident.left_front_fender = row[32] # incident.left_head_lamp = row[33] # incident.rear_bumper = row[34] # incident.boot_door = row[35] # incident.rear_wind_screen = row[36] # incident.car_top = row[37] # incident.wind_screen = row[38] # incident.hood = row[39] # incident.grill = row[40] # incident.front_bumper = row[41] # incident.chasis = row[42] # incident.suspension = row[43] # incident.engine = row[44] # incident.gear_box = row[45] # incident.dashboard = row[46] # incident.dashboard_controls = row[47] # incident.sound_system = row[48] # incident.steering = row[49] # incident.left_front_seat = row[50] # incident.rear_seat = row[51] # incident.right_front_seat = row[52] # incident.door_panels = row[53] # incident.foot_pedals = row[54] # incident.hand_brake = row[55] # incident.capets = row[56] # incident.ceiling = row[57] # incident.current_mileage = row[58] # incident.save() # upload_list.append(incident) # return upload_list # def import_inspections(request, import_file): # upload_list = [] # dataReader = csv.reader(open(import_file), delimiter=',', quotechar='"') # capture_date = date.today() # for row in dataReader: # if not row[0] == "LogDate": # insepction = MileageLog() # log_date = datetime.strptime(row[0], "%Y-%m-%d").date() # insepction.log_date = log_date # insepction.starting_mileage = float(row[1]) # insepction.current_mileage = float(row[2]) # insepction.mileage = float(row[3]) # insepction.fuel_balance_bf = float(row[4]) # insepction.fuel_used = float(row[5]) # insepction.fuel_balance = float(row[6]) # start_date = datetime.strptime(row[7], "%Y-%m-%d").date() # insepction.start_date = start_date # end_date = datetime.strptime(row[8], "%Y-%m-%d").date() # insepction.end_date = end_date # insepction.comments = row[9] # employee = row[10] # drivers = Employee.objects.filter(employee_old_id = employee) # if len(drivers) > 0: # driver = drivers.first() # insepction.driver = driver # licence_plate = str(row[11]) # vehicles = Vehicle.objects.filter(vehicle = licence_plate) # print(licence_plate, ">>>>>>>Data Imported") # if len(vehicles) > 0: # vehicle = vehicles.first() # insepction.vehicle = vehicle # insepction.save() # upload_list.append(insepction) # return upload_list # def import_fuel_cards(request, import_file): # upload_list = [] # dataReader = csv.reader(open(import_file), delimiter=',', quotechar='"') # capture_date = date.today() # for row in dataReader: # if not row[0] == "TransactionType": # fuel_card_count = FuelCard.objects.filter(card_number=row[0]).count() # if fuel_card_count ==0: # fuel_card = FuelCard() # fuel_card.card_number = row[0] # fuel_card.card_type = row[1] # fuel_card.save() # upload_list.append(fuel_card) # return upload_list # def import_vehicle_allocations(request, import_file): # upload_list = [] # dataReader = csv.reader(open(import_file), delimiter=',', quotechar='"') # capture_date = date.today() # for row in dataReader: # if not row[0] == "TransactionType": # allocation = VehicleAllocation() # allocation.transaction_type = row[0] # allo_date = datetime.strptime(row[1], "%Y-%m-%d").date() # allocation.allocation_date = allo_date # allocation.cycle_limit = float(row[2]) # allocation.mileage = float(row[3]) # allocation.status = row[4] # allocation.authorizer = row[5] # allocation.comments = row[6] # employee = row[7] # drivers = Employee.objects.filter(employee_old_id = employee) # if len(drivers) > 0: # driver = drivers.first() # allocation.driver = driver # card = row[8] # petrol_cards = FuelCard.objects.filter(card_number =card) # if len(petrol_cards) > 0: # petrol_card = petrol_cards.first() # allocation.fuel_card = petrol_card # licence_plate = row[9] # vehicles = Vehicle.objects.filter(vehicle = licence_plate) # if len(vehicles) > 0: # vehicle = vehicles.first() # allocation.vehicle = vehicle # allocation.save() # upload_list.append(vehicle) # return upload_list # def import_vehicle(request, import_file): # upload_list = [] # dataReader = csv.reader(open(import_file), delimiter=',', quotechar='"') # capture_date = date.today() # for row in dataReader: # if not row[0] == "LicencePlate": # vehicle= Vehicle() # vehicle.vehicle = row[0] # vehicle.ownership_type = row[1] # vehicle.vin_number = row[2] # vehicle.model_year = row[3] # vehicle.signing_mileage = float(row[4]) # licence_date = datetime.strptime(row[5], "%Y-%m-%d").date() # vehicle.licence_disk_expiry = licence_date # vehicle.color = row[6] # vehicle.status = row[7] # vehicle.available = int(row[8]) # vehicle.active = int(row[9]) # re_start_date = datetime.strptime(row[10], "%Y-%m-%d").date() # vehicle.rental_start_date = re_start_date # re_end_date = datetime.strptime(row[11], "%Y-%m-%d").date() # vehicle.rental_end_date = re_end_date # purchase_date = datetime.strptime(row[12], "%Y-%m-%d").date() # vehicle.purchase_date = purchase_date # vehicle.purchase_amount = float(row[13]) # vehicle.supplier = row[14] # vehicle.condition = row[15] # vehicle.invoice_number = row[16] # vehicle.warranty_expiry = row[17] # vehicle.financier = row[18] # vehicle.on_sp = int(row[19]) # vehicle.on_mo = int(row[20]) # vehicle.plan_provider = row[21] # vehicle.period = row[22] # start_date = datetime.strptime(row[23], "%Y-%m-%d").date() # vehicle.start_date = start_date # end_date = datetime.strptime(row[24], "%Y-%m-%d").date() # vehicle.end_date = end_date # vehicle.mileage_covered = float(row[25]) # vehicle.fuel_balance = float(row[26]) # vehicle.current_driver_id = row[28] # vehicle.make_n_model_id = row[29] # vehicle.save() # upload_list.append(vehicle) # return upload_list

39.912774

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null

0

1

0

4

6ee70fe2b1f992a9497aea8d1369862cf364767f

25

py

Python

D_Network_analysis/solutions/ex2_1d.py

oercompbiomed/CBM101

20010dcb99fbf218c4789eb5918dcff8ceb94898

[ "MIT" ]

7

2019-07-03T07:41:55.000Z

2022-02-06T20:25:37.000Z

D_Network_analysis/solutions/ex2_1d.py

oercompbiomed/CBM101

20010dcb99fbf218c4789eb5918dcff8ceb94898

[ "MIT" ]

9

2019-03-14T15:15:09.000Z

2019-08-01T14:18:21.000Z

D_Network_analysis/solutions/ex2_1d.py

oercompbiomed/CBM101

20010dcb99fbf218c4789eb5918dcff8ceb94898

[ "MIT" ]

11

2019-03-12T10:43:11.000Z

2021-10-05T12:15:00.000Z

list(G.neighbors('AKT1'))

25

0.72

4

25

4.5

1

0

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1

25

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0.153846

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0

null

0

1

0

null

0

1

0

4

42b5a6c2a91c9cbb17bc76ccd082b1efab4f0872

104

py

Python

mathly/math/cos.py

bangyen/mathly

efbd40cf1972fd7e9685ca0e1cda1ddacf77bf59

[ "MIT" ]

1

2020-05-02T00:14:54.000Z

mathly/math/cos.py

bangyen/mathly

efbd40cf1972fd7e9685ca0e1cda1ddacf77bf59

[ "MIT" ]

null

mathly/math/cos.py

bangyen/mathly

efbd40cf1972fd7e9685ca0e1cda1ddacf77bf59

[ "MIT" ]

2

2020-04-27T23:05:30.000Z

2020-07-06T20:19:15.000Z

# COSINE FUNCTION def cosine(x) -> float: """ Returns cosine of x radians """ return 0.0

17.333333

31

0.576923

14

104

4.285714

0.714286

0

0.027397

0.298077

104

6

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0.423077

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null

0

1

0

null

0

1

0

1

0

4

42d697013bc55149d27f9aeb2e317a18cba3916c

390

py

Python

qbank/views.py

bobort/cheese

5200b6e1383c5c4eed02afde53e9a8389dfab743

[ "MIT" ]

null

qbank/views.py

bobort/cheese

5200b6e1383c5c4eed02afde53e9a8389dfab743

[ "MIT" ]

28

2019-06-18T13:39:32.000Z

2021-10-05T22:54:12.000Z

qbank/views.py

bobort/cheese

5200b6e1383c5c4eed02afde53e9a8389dfab743

[ "MIT" ]

null

from rest_framework import viewsets from qbank.models import Question, Answer from qbank.serializers import QuestionSerializer, AnswerSerializer class QuestionView(viewsets.ModelViewSet): serializer_class = QuestionSerializer queryset = Question.objects.all() class AnswerView(viewsets.ModelViewSet): serializer_class = AnswerSerializer queryset = Answer.objects.all()

26

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0.224359

0

0.130769

390

14

67

27.857143

0.920354

0

1

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false

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null

0

1

0

null

0

1

0

1

0

4

42e07df894c34bb276175d2aba28296fd306b01d

271

py

Python

models/__init__.py

tunasoup/multimodal-scene-classification

85f72da3f6ab947fff0929a6ff0e4a8d1fd34377

[ "MIT" ]

null

models/__init__.py

tunasoup/multimodal-scene-classification

85f72da3f6ab947fff0929a6ff0e4a8d1fd34377

[ "MIT" ]

null

models/__init__.py

tunasoup/multimodal-scene-classification

85f72da3f6ab947fff0929a6ff0e4a8d1fd34377

[ "MIT" ]

null

from .audio.audio_vggish_network import AudioVGGishModel from .audio.audio_l3_network import AudioL3Model from .combiner.combiner_network import CombinerModel from .visual.visual_l3_network import VisualL3Model from .visual.visual_resnet_network import VisualResnetModel

45.166667

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0.889299

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271

6.823529

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0.280172

0.12069

0

0.015936

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271

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0

null

0

1

0

1

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4

6e123d812daba803c05e62505e6e67d5a1ad244f

89

py

Python

scripts/layers.py

hdknr/py-layers

884ffb2a681910cec7c8deb934c60a71dbd72b80

[ "MIT" ]

null

scripts/layers.py

hdknr/py-layers

884ffb2a681910cec7c8deb934c60a71dbd72b80

[ "MIT" ]

null

scripts/layers.py

hdknr/py-layers

884ffb2a681910cec7c8deb934c60a71dbd72b80

[ "MIT" ]

null

import click from layersclick import dispatch if __name__ == '__main__': dispatch()

14.833333

32

0.741573

10

89

5.8

0.8

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89

6

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14.833333

0.794521

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null

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1

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null

0

1

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1

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4

6e25b186af61158beed9700659877260c8883beb

124

py

Python

blocks/land_cover_classification/src/run.py

bmoska/land-cover-classification-demo

2362913b586c8915086bb5ccc9bd17be15177954

[ "MIT" ]

1

2021-04-16T13:32:18.000Z

blocks/land_cover_classification/src/run.py

bmoska/land-cover-classification-demo

2362913b586c8915086bb5ccc9bd17be15177954

[ "MIT" ]

null

blocks/land_cover_classification/src/run.py

bmoska/land-cover-classification-demo

2362913b586c8915086bb5ccc9bd17be15177954

[ "MIT" ]

null

from land_cover_classification import LandCoverClassification if __name__ == "__main__": LandCoverClassification.run()

24.8

61

0.822581

11

124

8.363636

0.909091

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124

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62

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null

0

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null

0

1

0

1

0

4

6e2bb88516c09ae1ce53a67cffe0d701759d2a91

581

py

Python

src/aturan_calendar_web/__init__.py

c17r/aturan-calendar-web

d31a23dce119b6e76a9a1d396e6ed23b60a525f6

[ "MIT" ]

null

src/aturan_calendar_web/__init__.py

c17r/aturan-calendar-web

d31a23dce119b6e76a9a1d396e6ed23b60a525f6

[ "MIT" ]

6

2020-02-24T19:16:02.000Z

2021-09-21T12:39:53.000Z

src/aturan_calendar_web/__init__.py

c17r/aturan-calendar-web

d31a23dce119b6e76a9a1d396e6ed23b60a525f6

[ "MIT" ]

1

2022-01-11T06:03:49.000Z

""" aturan_calendar_web ~~~~~~~~~~~~~~~~~~~ Converts current Gregorian date into the Aturan calendar and shows both dates. Also provides an API: - /date/YYYY-MM-DD: Converts provided date into Aturan - /year/YYYY: Returns entire calendar list for provided Aturan year :copyright: 2016-2017 Christian Erick Sauer. :license: MIT, see LICENSE for more details. All rights regarding The Kingkiller Chronicles are reserved by Patrick Rothfuss. see http://github.com/c17r/aturan-calendar for more information on the date conversion. """ # noqa from .core import * # noqa

29.05

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5.283951

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0.098131

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0.020492

0.160069

581

19

88

30.578947

0.856557

0.938038

0

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null

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1

0

1

0

1

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4

6e4a8040f14dbd1a9f539a8b59d6bdb31bb99702

66

py

Python

dfvfs/file_io/__init__.py

DianaYejiKang/dfVFS_ubi

a2d5c0ca2d475336d338a2af5cddcac46e703ca2

[ "Apache-2.0" ]

7

2015-02-28T17:46:25.000Z

2022-01-18T22:56:53.000Z

dfvfs/file_io/__init__.py

dfrc-korea/dfvfs

7be70af72f56f4feadd50206e33b0f5024907473

[ "Apache-2.0" ]

null

dfvfs/file_io/__init__.py

dfrc-korea/dfvfs

7be70af72f56f4feadd50206e33b0f5024907473

[ "Apache-2.0" ]

2

2019-08-28T23:47:08.000Z

2021-07-23T07:15:11.000Z

# -*- coding: utf-8 -*- """Imports for file input/output (IO)."""

22

41

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0.151515

66

2

42

33

0.642857

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0

null

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null

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null

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null

0

1

0

1

0

null

0

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0

4

2823ad01ea245531cce4b8751c08ceaa5335c90f

125

py

Python

packages/girder_worker/girder_worker/plugins/types/format/graph/adjacencylist_to_networkx.py

ShenQianwithC/HistomicsTK

4ad7e72a7ebdabbdfc879254fad04ce7ca47e320

[ "Apache-2.0" ]

null

packages/girder_worker/girder_worker/plugins/types/format/graph/adjacencylist_to_networkx.py

ShenQianwithC/HistomicsTK

4ad7e72a7ebdabbdfc879254fad04ce7ca47e320

[ "Apache-2.0" ]

null

packages/girder_worker/girder_worker/plugins/types/format/graph/adjacencylist_to_networkx.py

ShenQianwithC/HistomicsTK

4ad7e72a7ebdabbdfc879254fad04ce7ca47e320

[ "Apache-2.0" ]

null

from networkx.readwrite.adjlist import read_adjlist from six import StringIO io = StringIO(input) output = read_adjlist(io)

20.833333

51

0.816

18

125

5.555556

0.611111

0.22

0

0.12

125

5

52

25

0.909091

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

282d0308106fbf4a84d51f62660c202d460af57c

292

py

Python

cpdb/sitemap/sitemaps/attachment_sitemap.py

invinst/CPDBv2_backend

b4e96d620ff7a437500f525f7e911651e4a18ef9

[ "Apache-2.0" ]

25

2018-07-20T22:31:40.000Z

2021-07-15T16:58:41.000Z

cpdb/sitemap/sitemaps/attachment_sitemap.py

invinst/CPDBv2_backend

b4e96d620ff7a437500f525f7e911651e4a18ef9

[ "Apache-2.0" ]

13

2018-06-18T23:08:47.000Z

2022-02-10T07:38:25.000Z

cpdb/sitemap/sitemaps/attachment_sitemap.py

invinst/CPDBv2_backend

b4e96d620ff7a437500f525f7e911651e4a18ef9

[ "Apache-2.0" ]

6

2018-05-17T21:59:43.000Z

2020-11-17T00:30:26.000Z

from data.constants import MEDIA_TYPE_DOCUMENT from data.models import AttachmentFile from sitemap.sitemaps.base_sitemap import BaseSitemap class AttachmentSitemap(BaseSitemap): def items(self): return AttachmentFile.showing.filter(file_type=MEDIA_TYPE_DOCUMENT).order_by('id')

32.444444

90

0.821918

37

292

6.297297

0.675676

0.06867

0.145923

0

0.109589

292

8

91

36.5

0.896154

0

0.006849

0

1

0.166667

false

0

0.5

0.166667

1

0

null

0

1

0

null

0

1

0

4

284f3c23678f64f4928e819f174d3bf2e87aa1ee

124

py

Python

qlib/contrib/report/data/__init__.py

lpd6375/qlib

3a911bc09ba5136cd7c61c2c8dcca8a63339e738

[ "MIT" ]

1

2021-12-14T13:48:38.000Z

qlib/contrib/report/data/__init__.py

lpd6375/qlib

3a911bc09ba5136cd7c61c2c8dcca8a63339e738

[ "MIT" ]

null

qlib/contrib/report/data/__init__.py

lpd6375/qlib

3a911bc09ba5136cd7c61c2c8dcca8a63339e738

[ "MIT" ]

1

2022-03-22T06:37:38.000Z

# Copyright (c) Microsoft Corporation. # Licensed under the MIT License. """ This module is designed to analysis data """

15.5

40

0.725806

16

124

5.625

1

0

0.177419

124

7

41

17.714286

0.882353

0.887097

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

4

2855d25d0e7d983d01e5bffe8821dcc8eadef95d

115

py

Python

tests/exit_nojvm_exc.py

EMinsight/MPh

2b967b77352f9ce7effcd50ad4774bf5eaf731ea

[ "MIT" ]

null

tests/exit_nojvm_exc.py

EMinsight/MPh

2b967b77352f9ce7effcd50ad4774bf5eaf731ea

[ "MIT" ]

null

tests/exit_nojvm_exc.py

EMinsight/MPh

2b967b77352f9ce7effcd50ad4774bf5eaf731ea

[ "MIT" ]

null

"""Process exiting with exception when no Java VM is running.""" import mph # noqa F401 raise RuntimeError

19.166667

66

0.713043

17

115

4.882353

1

0

0.032967

0.208696

115

5

67

23

0.868132

0.078261

0

null

0

0.5

null

0

1

0

null

0

1

0

null

0

1

0

1

0

4

285ef98ecc21d3e9392aa5315d119ac6a5201323

365

py

Python

day03/t02.py

linlicro/python100

ca7309ce239bb83618351bb1326a9022dc18f145

[ "MIT" ]

1

2020-02-13T05:49:26.000Z

day03/t02.py

linlicro/python100

ca7309ce239bb83618351bb1326a9022dc18f145

[ "MIT" ]

null

day03/t02.py

linlicro/python100

ca7309ce239bb83618351bb1326a9022dc18f145

[ "MIT" ]

null

#!/usr/bin/python3 """ 英制单位与公制单位互换掷骰子决定做什么 version: 0.1 author: icro """ from random import randint i = randint(1, 6) if i == 1: print('face=%d ***' % i) elif i == 2: print('face=%d ***' % i) elif i == 3: print('face=%d ***' % i) elif i == 4: print('face=%d ***' % i) elif i == 5: print('face=%d ***' % i) else: print('face=%d ***' % i)

14.6

28

0.49863

57

365

3.192982

0.438596

0.296703

0.32967

0.362637

0.351648

0

0.036232

0.243836

365

24

29

15.208333

0.623188

0.175342

0

0.428571

0

0.225256

0

1

0

false

0

0.071429

0

0.071429

0.428571

0

null

1

0

null

0

1

0

4

2868a553d0dc85e5ab5ec899699260aedd87fdd0

191

py

Python

src/model/expired.py

enriquecorimayo/Arbitraje-de-Tasas

6dbc474865a343d5279f81bd61b1567a7f165468

[ "MIT" ]

null

src/model/expired.py

enriquecorimayo/Arbitraje-de-Tasas

6dbc474865a343d5279f81bd61b1567a7f165468

[ "MIT" ]

null

src/model/expired.py

enriquecorimayo/Arbitraje-de-Tasas

6dbc474865a343d5279f81bd61b1567a7f165468

[ "MIT" ]

1

2022-02-21T14:10:42.000Z

class ExpiredInstrument(Exception): def __init__(self, instrument): expire_message = f"El instrumento expiró: {instrument.maturity_date}" super().__init__(expire_message)

38.2

77

0.732984

20

191

6.45

0.8

0.20155

0

0.167539

191

4

78

47.75

0.811321

0

0.256545

0.136126

0

1

0.25

false

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

95496c97ed8e99e7c7b71a9f3026828daeed3d01

98

py

Python

Betting/test/mClassTest.py

jac2130/BayesGame

92a6e787ea0915fecb2735c5c3cead9a1dc3e23e

[ "MIT" ]

1

2018-01-15T08:38:09.000Z

Betting/test/mClassTest.py

jac2130/BayesGame

92a6e787ea0915fecb2735c5c3cead9a1dc3e23e

[ "MIT" ]

null

Betting/test/mClassTest.py

jac2130/BayesGame

92a6e787ea0915fecb2735c5c3cead9a1dc3e23e

[ "MIT" ]

null

import pymongo import mClassDAO db = pymongo.MongoClient().blog dao = mClassDAO.mClassDAO(db)

10.888889

31

0.765306

12

98

6.25

0.583333

0.293333

0

0.142857

98

8

32

12.25

0.892857

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

956a2928f82bd98200932b51e4014ac341d3ace1

7,463

py

Python

DPGAnalysis/Skims/python/TrackerPointing_cfg.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

DPGAnalysis/Skims/python/TrackerPointing_cfg.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

DPGAnalysis/Skims/python/TrackerPointing_cfg.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

import FWCore.ParameterSet.Config as cms process = cms.Process("SKIM") process.source = cms.Source("PoolSource", fileNames = cms.untracked.vstring( '/store/data/Commissioning09/Cosmics/RECO/v5/000/105/755/D266D139-D871-DE11-A709-001D09F28F0C.root', '/store/data/Commissioning09/Cosmics/RECO/v5/000/105/755/CA27788D-E871-DE11-8B46-001D09F276CF.root', '/store/data/Commissioning09/Cosmics/RECO/v5/000/105/755/AC5633B2-D471-DE11-9B3A-001D09F252F3.root', '/store/data/Commissioning09/Cosmics/RECO/v5/000/105/755/9CD957E7-D071-DE11-B6AE-001D09F252F3.root', '/store/data/Commissioning09/Cosmics/RECO/v5/000/105/755/94BF68F7-D171-DE11-902B-000423D986A8.root', '/store/data/Commissioning09/Cosmics/RECO/v5/000/105/755/7838FE1E-C771-DE11-9FD5-000423D98950.root', '/store/data/Commissioning09/Cosmics/RECO/v5/000/105/755/56632803-DD71-DE11-BAF5-000423D9870C.root', '/store/data/Commissioning09/Cosmics/RECO/v5/000/105/755/42A67CB9-E971-DE11-AA86-001D09F252F3.root', '/store/data/Commissioning09/Cosmics/RECO/v5/000/105/755/407225D3-D071-DE11-809B-001D09F297EF.root', '/store/data/Commissioning09/Cosmics/RECO/v5/000/105/755/3E5E1CF0-D271-DE11-AC2B-000423D94700.root', '/store/data/Commissioning09/Cosmics/RECO/v5/000/105/755/2C57E916-D071-DE11-AF0E-001D09F24E39.root', '/store/data/Commissioning09/Cosmics/RECO/v5/000/105/755/228896A5-E571-DE11-A60B-001D09F2AF96.root'), # '/store/data/Commissioning08/Cosmics/RECO/CRAFT_ALL_V9_225-v1/0002/0A12CE23-D7F9-DD11-819E-00E081348D21.root'), secondaryFileNames = cms.untracked.vstring( '/store/data/Commissioning09/Cosmics/RAW/v3/000/105/755/F6887FD0-9371-DE11-B69E-00304879FBB2.root', '/store/data/Commissioning09/Cosmics/RAW/v3/000/105/755/EEAF292E-9571-DE11-9A17-000423D94C68.root', '/store/data/Commissioning09/Cosmics/RAW/v3/000/105/755/ECC04DEB-9071-DE11-9F3A-001D09F23174.root', '/store/data/Commissioning09/Cosmics/RAW/v3/000/105/755/E8CE8710-9171-DE11-9211-000423D94534.root', '/store/data/Commissioning09/Cosmics/RAW/v3/000/105/755/DEB9057C-9471-DE11-BAF5-000423D94524.root', '/store/data/Commissioning09/Cosmics/RAW/v3/000/105/755/DC2A7158-A171-DE11-ACD3-001D09F24047.root', '/store/data/Commissioning09/Cosmics/RAW/v3/000/105/755/D6E68664-9271-DE11-AE97-000423D9970C.root', '/store/data/Commissioning09/Cosmics/RAW/v3/000/105/755/D2D94C9C-9171-DE11-AA96-000423D94AA8.root', '/store/data/Commissioning09/Cosmics/RAW/v3/000/105/755/B045C7CB-9371-DE11-AF39-001D09F24489.root', '/store/data/Commissioning09/Cosmics/RAW/v3/000/105/755/A2C791EF-9071-DE11-871D-001D09F2423B.root', '/store/data/Commissioning09/Cosmics/RAW/v3/000/105/755/9E1A4336-9071-DE11-81BD-001D09F251B8.root', '/store/data/Commissioning09/Cosmics/RAW/v3/000/105/755/8C28F89C-9171-DE11-B944-000423D9A2AE.root', '/store/data/Commissioning09/Cosmics/RAW/v3/000/105/755/82A37610-9371-DE11-A293-000423D98B6C.root', '/store/data/Commissioning09/Cosmics/RAW/v3/000/105/755/822D1510-9371-DE11-A329-000423D99A8E.root', '/store/data/Commissioning09/Cosmics/RAW/v3/000/105/755/76515611-9371-DE11-8BF2-001D09F24024.root', '/store/data/Commissioning09/Cosmics/RAW/v3/000/105/755/76434EA1-9171-DE11-B39F-000423D98E54.root', '/store/data/Commissioning09/Cosmics/RAW/v3/000/105/755/6E1DB87B-9471-DE11-B4E8-000423D98B28.root', '/store/data/Commissioning09/Cosmics/RAW/v3/000/105/755/6A15A1C7-9371-DE11-9ACB-0030487A18F2.root', '/store/data/Commissioning09/Cosmics/RAW/v3/000/105/755/4E95107B-9471-DE11-9E86-000423D944F0.root', '/store/data/Commissioning09/Cosmics/RAW/v3/000/105/755/42C723CA-9871-DE11-8614-000423D6B48C.root', '/store/data/Commissioning09/Cosmics/RAW/v3/000/105/755/3E934456-9271-DE11-BA19-000423D99AA2.root', '/store/data/Commissioning09/Cosmics/RAW/v3/000/105/755/3AF89B38-9371-DE11-AEE9-000423D33970.root', '/store/data/Commissioning09/Cosmics/RAW/v3/000/105/755/2C696C5B-9271-DE11-BD57-000423D94990.root') # '/store/data/Commissioning08/Cosmics/RAW/v1/000/069/578/085EFED4-E5AB-DD11-9ACA-001617C3B6FE.root') ) process.configurationMetadata = cms.untracked.PSet( version = cms.untracked.string('$Revision: 1.11 $'), name = cms.untracked.string('$Source: /cvs/CMSSW/CMSSW/DPGAnalysis/Skims/python/TrackerPointing_cfg.py,v $'), annotation = cms.untracked.string('CRAFT TrackerPointing skim') ) process.maxEvents = cms.untracked.PSet(input = cms.untracked.int32(100)) process.options = cms.untracked.PSet(wantSummary = cms.untracked.bool(True)) process.load('Configuration/StandardSequences/MagneticField_AutoFromDBCurrent_cff') process.load('Configuration/StandardSequences/GeometryIdeal_cff') process.load("Configuration.StandardSequences.FrontierConditions_GlobalTag_cff") process.GlobalTag.globaltag = 'GR09_31X_V3P::All' process.load("Configuration.StandardSequences.ReconstructionCosmics_cff") process.cosmictrackfinderP5TkCntFilter = cms.EDFilter("TrackCountFilter", src = cms.InputTag('cosmictrackfinderP5'), minNumber = cms.uint32(1) ) process.ctfWithMaterialTracksP5TkCntFilter = cms.EDFilter("TrackCountFilter", src = cms.InputTag('ctfWithMaterialTracksP5'), minNumber = cms.uint32(1) ) process.rsWithMaterialTracksP5TkCntFilter = cms.EDFilter("TrackCountFilter", src = cms.InputTag('rsWithMaterialTracksP5'), minNumber = cms.uint32(1) ) process.cosmicMuonsBarrelOnlyTkFilter = cms.EDFilter("HLTMuonPointingFilter", SALabel = cms.InputTag("cosmicMuonsBarrelOnly"), PropagatorName = cms.string("SteppingHelixPropagatorAny"), radius = cms.double(90.0), maxZ = cms.double(130.0), ) process.cosmicMuonsBarrelOnlyTkPath = cms.Path(process.cosmicMuonsBarrelOnlyTkFilter) process.cosmictrackfinderP5TkCntPath = cms.Path(process.cosmictrackfinderP5TkCntFilter) process.ctfWithMaterialTracksP5TkCntPath = cms.Path(process.ctfWithMaterialTracksP5TkCntFilter) process.rsWithMaterialTracksP5TkCntPath = cms.Path(process.rsWithMaterialTracksP5TkCntFilter) process.out = cms.OutputModule("PoolOutputModule", outputCommands = cms.untracked.vstring('keep *','drop *_MEtoEDMConverter_*_*'), SelectEvents = cms.untracked.PSet(SelectEvents = cms.vstring('cosmicMuonsBarrelOnlyTkPath', 'cosmictrackfinderP5TkCntPath', 'ctfWithMaterialTracksP5TkCntPath', 'rsWithMaterialTracksP5TkCntPath')), dataset = cms.untracked.PSet( dataTier = cms.untracked.string('RAW-RECO'), filterName = cms.untracked.string('TrackingPointing')), fileName = cms.untracked.string('/tmp/malgeri/trackerPointing.root') ) process.this_is_the_end = cms.EndPath(process.out)

65.464912

128

0.692617

808

7,463

6.375

0.313119

0.064648

0.163075

0.210639

0.417783

0.371967

0.348088

0.340711

0.323044

0

0.213729

0.174327

7,463

113

129

66.044248

0.622201

0.029211

0

0.034483

0

0.413793

0.575059

0.547024

0

1

0

false

0

0.011494

0

0.011494

0

null

0

1

0

1

0

1

0

1

null

0

4

957e0d7121bcc620b83274c5542f8c59fe467a3c

169

py

Python

src/hks_pylib/errors/cryptography/batchcrypt/__init__.py

huykingsofm/hks_pylib

d73a896a395df301ef8082a358ec8e23f7bc708a

[ "MIT" ]

2

2021-04-06T07:01:27.000Z

2021-07-30T11:08:59.000Z

src/hks_pylib/errors/cryptography/batchcrypt/__init__.py

huykingsofm/hks_pylib

d73a896a395df301ef8082a358ec8e23f7bc708a

[ "MIT" ]

null

src/hks_pylib/errors/cryptography/batchcrypt/__init__.py

huykingsofm/hks_pylib

d73a896a395df301ef8082a358ec8e23f7bc708a

[ "MIT" ]

null

from hks_pylib.errors.cryptography import CryptographyError class BatchCryptError(CryptographyError): "The exception is raised by failures in batchcrypt module."

24.142857

63

0.822485

19

169

7.263158

0.947368

0

0.130178

169

6

64

28.166667

0.938776

0.337278

0

0.339286

0

1

0

true

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

253e7e1e6aeee5c221015f4b76db22c8bcb74285

6,011

py

Python

test/errors/python_error/python/ModuleNamesErrorTest.py

dkBrazz/zserio

29dd8145b7d851fac682d3afe991185ea2eac318

[ "BSD-3-Clause" ]

86

2018-09-06T09:30:53.000Z

2022-03-27T01:12:36.000Z

test/errors/python_error/python/ModuleNamesErrorTest.py

dkBrazz/zserio

29dd8145b7d851fac682d3afe991185ea2eac318

[ "BSD-3-Clause" ]

362

2018-09-04T20:21:24.000Z

2022-03-30T15:14:38.000Z

test/errors/python_error/python/ModuleNamesErrorTest.py

dkBrazz/zserio

29dd8145b7d851fac682d3afe991185ea2eac318

[ "BSD-3-Clause" ]

20

2018-09-10T15:59:02.000Z

2021-12-01T15:38:22.000Z

import unittest from testutils import compileErroneousZserio, assertErrorsPresent class ModuleNamesErrorTest(unittest.TestCase): @classmethod def setUpClass(cls): cls.errors = {} compileErroneousZserio(__file__, "module_names/bitmask_with_enum_clash_error.zs", cls.errors) compileErroneousZserio(__file__, "module_names/choice_with_union_clash_error.zs", cls.errors) compileErroneousZserio(__file__, "module_names/const_with_const_clash_error.zs", cls.errors) compileErroneousZserio(__file__, "module_names/const_with_structure_clash_error.zs", cls.errors) compileErroneousZserio(__file__, "module_names/instantiate_type_with_structure_clash_error.zs", cls.errors) compileErroneousZserio(__file__, "module_names/instantiation_with_structure_clash_error.zs", cls.errors) compileErroneousZserio(__file__, "module_names/pubsub_with_service_clash_error.zs", cls.errors) compileErroneousZserio(__file__, "module_names/sql_database_with_sql_table_clash_error.zs", cls.errors) compileErroneousZserio(__file__, "module_names/structure_with_service_clash_error.zs", cls.errors) compileErroneousZserio(__file__, "module_names/structure_with_subtype_clash_error.zs", cls.errors) def testBitmaskWithEnumClashError(self): assertErrorsPresent(self, "module_names/bitmask_with_enum_clash_error.zs", [ ":9:12: Module 'color_info' generated for package symbol 'Color_Info' " + "clashes with module generated for package symbol 'ColorInfo' defined at 3:15!", "[ERROR] Python Generator: Module name clashing detected!" ] ) def testChoiceWithUnionClashError(self): assertErrorsPresent(self, "module_names/choice_with_union_clash_error.zs", [ ":11:7: Module 'some_name' generated for package symbol 'Some_Name' " + "clashes with module generated for package symbol 'SomeName' defined at 3:8!", "[ERROR] Python Generator: Module name clashing detected!" ] ) def testConstWithConstClashError(self): assertErrorsPresent(self, "module_names/const_with_const_clash_error.zs", [ ":4:14: Module 'some_name' generated for package symbol 'SomeName' " + "clashes with module generated for package symbol 'SOME_NAME' defined at 3:14!", "[ERROR] Python Generator: Module name clashing detected!" ] ) def testConstWithStructureClashError(self): assertErrorsPresent(self, "module_names/const_with_structure_clash_error.zs", [ ":5:8: Module 'some_name' generated for package symbol 'SomeName' " + "clashes with module generated for package symbol 'SOME_NAME' defined at 3:14!", "[ERROR] Python Generator: Module name clashing detected!" ] ) def testInstantiateTypeWithStructureClashError(self): assertErrorsPresent(self, "module_names/instantiate_type_with_structure_clash_error.zs", [ ":13:13: In instantiation of 'Other' required from here", ":8:8: Module 'some_name' generated for package symbol 'SomeName' " + "clashes with module generated for package symbol 'Some_Name' defined at 3:8!", "[ERROR] Python Generator: Module name clashing detected!" ] ) def testInstantiationWithStructureClashError(self): assertErrorsPresent(self, "module_names/instantiation_with_structure_clash_error.zs", [ ":5:5: In instantiation of 'Some' required from here", ":8:8: Module 'some_name' generated for package symbol 'Some_Name' " + "clashes with module generated for package symbol 'SomeName' defined at 3:8!", "[ERROR] Python Generator: Module name clashing detected!" ] ) def testPubsubWithServiceClashError(self): assertErrorsPresent(self, "module_names/pubsub_with_service_clash_error.zs", [ ":18:8: Module 'math_service' generated for package symbol 'MathService' " + "clashes with module generated for package symbol 'Math_Service' defined at 13:9!", "[ERROR] Python Generator: Module name clashing detected!" ] ) def testSqlDatabaseWithSqlTableClashError(self): assertErrorsPresent(self, "module_names/sql_database_with_sql_table_clash_error.zs", [ ":9:14: Module 'some_good_name' generated for package symbol 'SomeGoodName' " + "clashes with module generated for package symbol 'Some_Good_Name' defined at 3:11!", "[ERROR] Python Generator: Module name clashing detected!" ] ) def testStructureWithServiceClashError(self): assertErrorsPresent(self, "module_names/structure_with_service_clash_error.zs", [ ":8:9: Module 'some_name' generated for package symbol 'Some_Name' " + "clashes with module generated for package symbol 'SomeName' defined at 3:8!", "[ERROR] Python Generator: Module name clashing detected!" ] ) def testStructureWithSubtypeClashError(self): assertErrorsPresent(self, "module_names/structure_with_subtype_clash_error.zs", [ ":8:24: Module 'some_good_name' generated for package symbol 'SomeGoodName' " + "clashes with module generated for package symbol 'SOME_GOOD_NAME' defined at 3:8!", "[ERROR] Python Generator: Module name clashing detected!" ] )

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null

0

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2559ed1b6ef039896b469250a47a966f4915a070

4,723

py

Python

tests/common/gcp_api/test_data/fake_servicemanagement_responses.py

mcunha/forseti-security

cbf25f6173c1a25d4e43a9738eca73f927361cb8

[ "Apache-2.0" ]

1

2018-10-06T23:16:59.000Z

tests/common/gcp_api/test_data/fake_servicemanagement_responses.py

mcunha/forseti-security

cbf25f6173c1a25d4e43a9738eca73f927361cb8

[ "Apache-2.0" ]

null

tests/common/gcp_api/test_data/fake_servicemanagement_responses.py

mcunha/forseti-security

cbf25f6173c1a25d4e43a9738eca73f927361cb8

[ "Apache-2.0" ]

null

# Copyright 2017 The Forseti Security Authors. 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. """Test data for Service Management GCP api responses.""" FAKE_PROJECT_ID = "project1" LIST_CONSUMER_SERVICES_PAGE1 = """ { "services": [ { "serviceName": "bigquery-json.googleapis.com", "producerProjectId": "google.com:ultra-current-88221" }, { "serviceName": "cloudbilling.googleapis.com", "producerProjectId": "cloud-billing-api" }, { "serviceName": "apikeys.googleapis.com", "producerProjectId": "google.com:steel-binder-818" }, { "serviceName": "appengineflex.googleapis.com", "producerProjectId": "google.com:gae-api-prod" }, { "serviceName": "admin.googleapis.com", "producerProjectId": "google.com:api-project-73174915157" }, { "serviceName": "cloudapis.googleapis.com", "producerProjectId": "google.com:cloudapis-producer" } ], "nextPageToken": "123" } """ LIST_CONSUMER_SERVICES_PAGE2 = """ { "services": [ { "serviceName": "containerregistry.googleapis.com", "producerProjectId": "containerregistry" }, { "serviceName": "cloudtrace.googleapis.com", "producerProjectId": "cloud-trace-api-producer" }, { "serviceName": "container.googleapis.com", "producerProjectId": "google.com:cloud-kubernetes-devrel" }, { "serviceName": "containeranalysis.googleapis.com", "producerProjectId": "container-analysis" }, { "serviceName": "dataproc-control.googleapis.com", "producerProjectId": "cloud-dataproc-producer" }, { "serviceName": "clouddebugger.googleapis.com", "producerProjectId": "google.com:cloud-debugger-producer" }, { "serviceName": "compute.googleapis.com", "producerProjectId": "google.com:api-project-539346026206" }, { "serviceName": "cloudbuild.googleapis.com", "producerProjectId": "argo-api-producer" } ], "nextPageToken": "456" } """ LIST_CONSUMER_SERVICES_PAGE3 = """ { "services": [ { "serviceName": "deploymentmanager.googleapis.com", "producerProjectId": "google.com:api-project-596022999904" }, { "serviceName": "pubsub.googleapis.com", "producerProjectId": "cloud-pubsub-billing" }, { "serviceName": "dataproc.googleapis.com", "producerProjectId": "cloud-dataproc-producer" }, { "serviceName": "monitoring.googleapis.com", "producerProjectId": "google.com:gcm-api-admin" }, { "serviceName": "dns.googleapis.com", "producerProjectId": "cloud-dns-service-config" }, { "serviceName": "logging.googleapis.com", "producerProjectId": "metal-incline-93520" }, { "serviceName": "datastore.googleapis.com", "producerProjectId": "cloud-datastore-api" }, { "serviceName": "replicapool.googleapis.com", "producerProjectId": "google.com:api-project-861046436738" }, { "serviceName": "replicapoolupdater.googleapis.com", "producerProjectId": "google.com:prod-default-producer-project" }, { "serviceName": "iam.googleapis.com", "producerProjectId": "iam-whitelisting-project" } ], "nextPageToken": "789" } """ LIST_CONSUMER_SERVICES_PAGE4 = """ { "services": [ { "serviceName": "servicemanagement.googleapis.com", "producerProjectId": "google.com:steel-binder-818" }, { "serviceName": "storage-api.googleapis.com", "producerProjectId": "cloud-storage-producer" }, { "serviceName": "storage.googleapis.com", "producerProjectId": "cloud-storage-producer" }, { "serviceName": "resourceviews.googleapis.com", "producerProjectId": "google.com:prod-default-producer-project" }, { "serviceName": "sql-component.googleapis.com", "producerProjectId": "google.com:prod-default-producer-project" }, { "serviceName": "storage-component.googleapis.com", "producerProjectId": "google.com:prod-default-producer-project" } ] } """ LIST_CONSUMER_SERVICES_RESPONSES = [ LIST_CONSUMER_SERVICES_PAGE1, LIST_CONSUMER_SERVICES_PAGE2, LIST_CONSUMER_SERVICES_PAGE3, LIST_CONSUMER_SERVICES_PAGE4 ] EXPECTED_SERVICES_COUNT = 30 PERMISSION_DENIED = """ { "error": { "code": 403, "message": "Project 'project1' not found or permission denied.", "status": "PERMISSION_DENIED" } } """

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2570f866d5ffdc28b7b03f32a9c7e5ca426cf877

70

py

Python

back/bookclub/models/genre.py

wonesy/bookclub

0b0368974ca5c9f25666efd556e5b514db44180f

[ "MIT" ]

null

back/bookclub/models/genre.py

wonesy/bookclub

0b0368974ca5c9f25666efd556e5b514db44180f

[ "MIT" ]

null

back/bookclub/models/genre.py

wonesy/bookclub

0b0368974ca5c9f25666efd556e5b514db44180f

[ "MIT" ]

null

from pydantic import BaseModel class Genre(BaseModel): name: str

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