xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

3706b504af0c72cea9210d52866fe3008e22e311

35

py

Python

non_standard_module.py

roryyorke/py-hide-modules

ecd46529e523c333958898463480cca7e678f2b7

[ "MIT" ]

2

2016-05-15T19:20:39.000Z

2019-01-24T19:16:16.000Z

non_standard_module.py

roryyorke/py-hide-modules

ecd46529e523c333958898463480cca7e678f2b7

[ "MIT" ]

1

2019-01-24T19:21:18.000Z

2019-01-26T07:37:41.000Z

non_standard_module.py

roryyorke/py-hide-modules

ecd46529e523c333958898463480cca7e678f2b7

[ "MIT" ]

1

2019-01-24T21:22:24.000Z

# exists solely to not be imported

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py

Python

garage/theano/algos/__init__.py

shadiakiki1986/garage

095bb5d25b32df1d44b47e99a78a9b01796941d9

[ "MIT" ]

3

2019-08-11T22:26:55.000Z

2020-11-28T10:23:50.000Z

garage/theano/algos/__init__.py

shadiakiki1986/garage

095bb5d25b32df1d44b47e99a78a9b01796941d9

[ "MIT" ]

null

garage/theano/algos/__init__.py

shadiakiki1986/garage

095bb5d25b32df1d44b47e99a78a9b01796941d9

[ "MIT" ]

2

2019-08-11T22:30:14.000Z

2021-03-25T02:57:50.000Z

from garage.theano.algos.ddpg import DDPG from garage.theano.algos.vpg import VPG from garage.theano.algos.erwr import ERWR # noqa: I100 from garage.theano.algos.npo import NPO from garage.theano.algos.ppo import PPO from garage.theano.algos.reps import REPS from garage.theano.algos.tnpg import TNPG from garage.theano.algos.trpo import TRPO __all__ = ["DDPG", "VPG", "ERWR", "NPO", "PPO", "REPS", "TNPG", "TRPO"]

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Python

mi/dataset/parser/test/test_ctdpf_ckl_wfp.py

petercable/mi-dataset

d3c1607ea31af85fbba5719a31d4a60bf39f8dd3

[ "BSD-2-Clause" ]

1

2015-05-10T01:08:44.000Z

mi/dataset/parser/test/test_ctdpf_ckl_wfp.py

petercable/mi-dataset

d3c1607ea31af85fbba5719a31d4a60bf39f8dd3

[ "BSD-2-Clause" ]

33

2017-04-25T19:53:45.000Z

2022-03-18T17:42:18.000Z

mi/dataset/parser/test/test_ctdpf_ckl_wfp.py

petercable/mi-dataset

d3c1607ea31af85fbba5719a31d4a60bf39f8dd3

[ "BSD-2-Clause" ]

31

2015-03-04T01:01:09.000Z

2020-10-28T14:42:12.000Z

#!/usr/bin/env python """ @package mi.dataset.parser.test.test_ctdpf_ckl_wfp @file marine-integrations/mi/dataset/parser/test/test_ctdpf_ckl_wfp.py @author cgoodrich @brief Test code for a ctdpf_ckl_wfp data parser """ import os from nose.plugins.attrib import attr from mi.core.exceptions import SampleException from mi.core.log import get_logger from mi.dataset.dataset_parser import DataSetDriverConfigKeys from mi.dataset.driver.ctdpf_ckl.wfp.resource import RESOURCE_PATH from mi.dataset.parser.ctdpf_ckl_wfp import CtdpfCklWfpParser, \ METADATA_PARTICLE_CLASS_KEY, \ DATA_PARTICLE_CLASS_KEY from mi.dataset.parser.ctdpf_ckl_wfp_particles import CtdpfCklWfpRecoveredDataParticle from mi.dataset.parser.ctdpf_ckl_wfp_particles import CtdpfCklWfpRecoveredMetadataParticle from mi.dataset.parser.ctdpf_ckl_wfp_particles import CtdpfCklWfpTelemeteredDataParticle from mi.dataset.parser.ctdpf_ckl_wfp_particles import CtdpfCklWfpTelemeteredMetadataParticle from mi.dataset.test.test_parser import ParserUnitTestCase log = get_logger() @attr('UNIT', group='mi') class CtdpfCklWfpParserUnitTestCase(ParserUnitTestCase): """ ctdpf_ckl_wfp Parser unit test suite """ def setUp(self): ParserUnitTestCase.setUp(self) self._recov_config = { DataSetDriverConfigKeys.PARTICLE_MODULE: 'mi.dataset.parser.ctdpf_ckl_wfp', DataSetDriverConfigKeys.PARTICLE_CLASS: None, DataSetDriverConfigKeys.PARTICLE_CLASSES_DICT: { DATA_PARTICLE_CLASS_KEY: CtdpfCklWfpRecoveredDataParticle, METADATA_PARTICLE_CLASS_KEY: CtdpfCklWfpRecoveredMetadataParticle }, } self._telem_config = { DataSetDriverConfigKeys.PARTICLE_MODULE: 'mi.dataset.parser.ctdpf_ckl_wfp', DataSetDriverConfigKeys.PARTICLE_CLASS: None, DataSetDriverConfigKeys.PARTICLE_CLASSES_DICT: { DATA_PARTICLE_CLASS_KEY: CtdpfCklWfpTelemeteredDataParticle, METADATA_PARTICLE_CLASS_KEY: CtdpfCklWfpTelemeteredMetadataParticle } } def test_simple(self): """ Read test data and pull out data particles one at a time. Assert that the results are those we expected. """ filepath = os.path.join(RESOURCE_PATH, 'simple.dat') filesize = os.path.getsize(filepath) #******************************************** # Test the "recovered" version of the parser #******************************************** with open(filepath, 'rb') as stream_handle: recovered_parser = CtdpfCklWfpParser( self._recov_config, stream_handle, self.exception_callback, filesize) particles = recovered_parser.get_records(5) self.assert_particles(particles, 'test_simple_recov.yml', RESOURCE_PATH) #********************************************** # Test the "telemetered" version of the parser #********************************************** with open(filepath, 'rb') as stream_handle: telemetered_parser = CtdpfCklWfpParser( self._telem_config, stream_handle, self.exception_callback, filesize) particles = telemetered_parser.get_records(5) self.assert_particles(particles, 'test_simple_telem.yml', RESOURCE_PATH) def test_simple_pad(self): """ Read test data and pull out data particles one at a time. Assert that the results are those we expected. """ filepath = os.path.join(RESOURCE_PATH, 'simple_pad.dat') filesize = os.path.getsize(filepath) #******************************************** # Test the "recovered" version of the parser #******************************************** with open(filepath, 'rb') as stream_handle: recovered_parser = CtdpfCklWfpParser( self._recov_config, stream_handle, self.exception_callback, filesize) particles = recovered_parser.get_records(5) self.assert_particles(particles, 'test_simple_pad_recov.yml', RESOURCE_PATH) #********************************************** # Test the "telemetered" version of the parser #********************************************** with open(filepath, 'rb') as stream_handle: telemetered_parser = CtdpfCklWfpParser( self._telem_config, stream_handle, self.exception_callback, filesize) particles = telemetered_parser.get_records(1) self.assert_particles(particles, 'test_simple_pad_telem.yml', RESOURCE_PATH) def test_long_stream(self): """ Test a long stream """ filepath = os.path.join(RESOURCE_PATH, 'C0000038.dat') filesize = os.path.getsize(filepath) #******************************************** # Test the "recovered" version of the parser #******************************************** with open(filepath) as stream_handle: recovered_parser = CtdpfCklWfpParser( self._recov_config, stream_handle, self.exception_callback, filesize) self.parser = recovered_parser recovered_result = self.parser.get_records(271) self.assert_particles(recovered_result, 'C0000038_recov.yml', RESOURCE_PATH) #********************************************** # Test the "telemetered" version of the parser #********************************************** with open(filepath) as stream_handle: telemetered_parser = CtdpfCklWfpParser( self._telem_config, stream_handle, self.exception_callback, filesize) self.parser = telemetered_parser telemetered_result = self.parser.get_records(271) self.assert_particles(telemetered_result, 'C0000038_telem.yml', RESOURCE_PATH) def test_bad_time_data(self): """ If the timestamps are missing, raise a sample exception and do not parse the file """ filepath = os.path.join(RESOURCE_PATH, 'bad_time_data.dat') filesize = os.path.getsize(filepath) #******************************************** # Test the "recovered" version of the parser #******************************************** with self.assertRaises(SampleException): with open(filepath, 'rb') as stream_handle: CtdpfCklWfpParser( self._recov_config, stream_handle, self.exception_callback, filesize) #********************************************** # Test the "telemetered" version of the parser #********************************************** with self.assertRaises(SampleException): with open(filepath, 'rb') as stream_handle: CtdpfCklWfpParser( self._telem_config, stream_handle, self.exception_callback, filesize) def test_bad_size_data(self): """ If any of the data records in the file are not 11 bytes long, raise a sample exception and do not parse the file. """ filepath = os.path.join(RESOURCE_PATH, 'bad_size_data.dat') filesize = os.path.getsize(filepath) #******************************************** # Test the "recovered" version of the parser #******************************************** with self.assertRaises(SampleException): with open(filepath, 'rb') as stream_handle: CtdpfCklWfpParser( self._recov_config, stream_handle, self.exception_callback, filesize) #********************************************** # Test the "telemetered" version of the parser #********************************************** with self.assertRaises(SampleException): with open(filepath, 'rb') as stream_handle: CtdpfCklWfpParser( self._recov_config, stream_handle, self.exception_callback, filesize) def test_bad_eop_data(self): """ If the last "data" record in the file is not 11 byes of 0xFF, raise a sample exception and do not parse the file. """ filepath = os.path.join(RESOURCE_PATH, 'bad_eop_data.dat') filesize = os.path.getsize(filepath) #******************************************** # Test the "recovered" version of the parser #******************************************** with self.assertRaises(SampleException): with open(filepath, 'rb') as stream_handle: CtdpfCklWfpParser( self._recov_config, stream_handle, self.exception_callback, filesize) #********************************************** # Test the "telemetered" version of the parser #********************************************** with self.assertRaises(SampleException): with open(filepath, 'rb') as stream_handle: CtdpfCklWfpParser( self._recov_config, stream_handle, self.exception_callback, filesize)

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py

Python

591/solution.py

Pedram-Parsian/quera-answers

bbdbe613266358482c394f6f80731a23c3ac738d

[ "MIT" ]

1

2020-03-17T21:18:59.000Z

591/solution.py

Pedram-Parsian/quera-answers

bbdbe613266358482c394f6f80731a23c3ac738d

[ "MIT" ]

null

591/solution.py

Pedram-Parsian/quera-answers

bbdbe613266358482c394f6f80731a23c3ac738d

[ "MIT" ]

null

n = int(input()) print('*'*n) for _ in range(n-2): print(f'*{" " * (n - 2)}*') print('*'*n)

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py

Python

hashdd/decompressor/__init__.py

hashdd/pyhashdd

938366a8c1ff26e074c419d71b09d592730940e9

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

20

2017-02-22T11:32:24.000Z

2019-11-25T18:51:41.000Z

hashdd/decompressor/__init__.py

hashdd/pyhashdd

938366a8c1ff26e074c419d71b09d592730940e9

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

11

2017-02-24T15:18:15.000Z

2022-01-13T00:41:29.000Z

hashdd/decompressor/__init__.py

hashdd/pyhashdd

938366a8c1ff26e074c419d71b09d592730940e9

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

4

2017-02-22T14:42:52.000Z

2017-11-26T21:24:04.000Z

from .decompressor import Decompressor, TempDirectory

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py

Python

app/admin/__init__.py

Red1210/repair_system

a16b10e844b9abe8089d5042e500bc0ddef62099

[ "MIT" ]

null

app/admin/__init__.py

Red1210/repair_system

a16b10e844b9abe8089d5042e500bc0ddef62099

[ "MIT" ]

null

app/admin/__init__.py

Red1210/repair_system

a16b10e844b9abe8089d5042e500bc0ddef62099

[ "MIT" ]

null

from flask import Blueprint admin_bp = Blueprint("admin", __name__) from . import routes

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py

Python

data_sequences/__init__.py

ikhlestov/sequences_datasets

99cf50488c83f9e0a1d1dccd4315a717c181fc21

[ "MIT" ]

null

data_sequences/__init__.py

ikhlestov/sequences_datasets

99cf50488c83f9e0a1d1dccd4315a717c181fc21

[ "MIT" ]

null

data_sequences/__init__.py

ikhlestov/sequences_datasets

99cf50488c83f9e0a1d1dccd4315a717c181fc21

[ "MIT" ]

1

2020-02-13T11:04:55.000Z

from .arithmetic_two_numbers import TwoNumbersRandDataProvider, \ TwoNumbersConstDataProvider

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2590e12b544106b2f984070b0e440d12460388ab

146

py

Python

__init__.py

yshalsager/pyrobud_modules

9e7780a73694207488ce0a03e21ede5ae705c25c

[ "MIT" ]

2

2020-06-27T11:10:17.000Z

2020-06-29T05:59:50.000Z

__init__.py

yshalsager/pyrobud_modules

9e7780a73694207488ce0a03e21ede5ae705c25c

[ "MIT" ]

null

__init__.py

yshalsager/pyrobud_modules

9e7780a73694207488ce0a03e21ede5ae705c25c

[ "MIT" ]

1

2021-03-15T09:48:55.000Z

"""custom modules initialization""" from .android import AndroidModule from .articles import ArticlesModule from .currency import CurrencyModule

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2599604ae30f274ac7ba37834ac07608906f65c4

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py

Python

src/animated_parse_tree/__init__.py

ethanolx/Animated-Parse-Tree-py

503435f946557597c66d85928cee1ea4215f4f33

[ "MIT" ]

2

2022-01-01T04:14:15.000Z

2022-01-01T04:14:17.000Z

src/animated_parse_tree/__init__.py

ethanolx/Animated-Parse-Tree-py

503435f946557597c66d85928cee1ea4215f4f33

[ "MIT" ]

11

2022-01-04T02:21:06.000Z

2022-01-04T07:12:44.000Z

src/animated_parse_tree/__init__.py

ethanolx/Animated-Parse-Tree-py

503435f946557597c66d85928cee1ea4215f4f33

[ "MIT" ]

null

from .parse_tree import ParseTree from .operand_ import Operand from .operator_ import Operator

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d306f01aa327dbe49ee87705cb20bb941899772c

144

py

Python

callmail_project/api/admin.py

q8groups/callnmail

e3f4c01050bee1442545c8e82eba3fb1efb5b3ed

[ "MIT" ]

null

callmail_project/api/admin.py

q8groups/callnmail

e3f4c01050bee1442545c8e82eba3fb1efb5b3ed

[ "MIT" ]

null

callmail_project/api/admin.py

q8groups/callnmail

e3f4c01050bee1442545c8e82eba3fb1efb5b3ed

[ "MIT" ]

null

from django.contrib import admin from .models import TokenValidation,Country admin.site.register(TokenValidation) admin.site.register(Country)

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py

Python

website/whisper/admin.py

Bigpop/Vue3-Django-drf

899fca9fed3a7d51a0e39a5ac4ec2103596eedef

[ "MIT" ]

1

2021-12-11T10:10:48.000Z

whisper/admin.py

Bigpop/django-blog-template

96f015024521c3d7c2d0ff409202940d7ffbfcec

[ "MIT" ]

null

whisper/admin.py

Bigpop/django-blog-template

96f015024521c3d7c2d0ff409202940d7ffbfcec

[ "MIT" ]

null

from django.contrib import admin from .models import Whisper # Register your models here. admin.site.register(Whisper)

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41

py

Python

elasticemailbackend/__init__.py

kittinan/elasticemail-django

80bbe15b82f1fd26df47b25b744ceddd90398db5

[ "MIT" ]

null

elasticemailbackend/__init__.py

kittinan/elasticemail-django

80bbe15b82f1fd26df47b25b744ceddd90398db5

[ "MIT" ]

null

elasticemailbackend/__init__.py

kittinan/elasticemail-django

80bbe15b82f1fd26df47b25b744ceddd90398db5

[ "MIT" ]

3

2018-05-20T19:48:40.000Z

2020-10-07T12:55:10.000Z

from .backend import ElasticEmailBackend

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5

d32164dbfbffbc903c7565d99da7676e007a6859

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py

Python

pythoncalculator/__init__.py

kczechowicz/python-calculator

8de535d81d23b2575941fe5c3dd8a7d6d2ade5d0

[ "MIT" ]

null

pythoncalculator/__init__.py

kczechowicz/python-calculator

8de535d81d23b2575941fe5c3dd8a7d6d2ade5d0

[ "MIT" ]

2

2021-09-21T13:28:08.000Z

2021-09-21T14:14:06.000Z

pythoncalculator/__init__.py

kczechowicz/python-calculator

8de535d81d23b2575941fe5c3dd8a7d6d2ade5d0

[ "MIT" ]

null

from .add import add from .multiply import multiply from .subtract import subtract from .divide import divide

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d3694ff4115ed0a385c8b37ea9fa2f5fc0cd166b

43

py

Python

nubcrypt/core/errors.py

nubcakee/nubcrypt

251ab10ae8d3964b694e66b581918767c484c782

[ "MIT" ]

null

nubcrypt/core/errors.py

nubcakee/nubcrypt

251ab10ae8d3964b694e66b581918767c484c782

[ "MIT" ]

null

nubcrypt/core/errors.py

nubcakee/nubcrypt

251ab10ae8d3964b694e66b581918767c484c782

[ "MIT" ]

null

class DecryptionError(Exception): pass

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d38505e60469129316909787c16053b21f8a8697

3,031

py

Python

python-client/test/test_default_api.py

ucsdsysnet/faasnap

6d47f5a808d34d37213c57e42a302b351e904614

[ "MIT" ]

null

python-client/test/test_default_api.py

ucsdsysnet/faasnap

6d47f5a808d34d37213c57e42a302b351e904614

[ "MIT" ]

null

python-client/test/test_default_api.py

ucsdsysnet/faasnap

6d47f5a808d34d37213c57e42a302b351e904614

[ "MIT" ]

null

# coding: utf-8 """ faasnap FaaSnap API # noqa: E501 OpenAPI spec version: 1.0.0 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import unittest import swagger_client from swagger_client.api.default_api import DefaultApi # noqa: E501 from swagger_client.rest import ApiException class TestDefaultApi(unittest.TestCase): """DefaultApi unit test stubs""" def setUp(self): self.api = swagger_client.api.default_api.DefaultApi() # noqa: E501 def tearDown(self): pass def test_functions_get(self): """Test case for functions_get """ pass def test_functions_post(self): """Test case for functions_post """ pass def test_invocations_post(self): """Test case for invocations_post """ pass def test_metrics_get(self): """Test case for metrics_get """ pass def test_net_ifaces_namespace_put(self): """Test case for net_ifaces_namespace_put """ pass def test_snapshots_post(self): """Test case for snapshots_post """ pass def test_snapshots_put(self): """Test case for snapshots_put """ pass def test_snapshots_ss_id_mincore_get(self): """Test case for snapshots_ss_id_mincore_get """ pass def test_snapshots_ss_id_mincore_patch(self): """Test case for snapshots_ss_id_mincore_patch """ pass def test_snapshots_ss_id_mincore_post(self): """Test case for snapshots_ss_id_mincore_post """ pass def test_snapshots_ss_id_mincore_put(self): """Test case for snapshots_ss_id_mincore_put """ pass def test_snapshots_ss_id_patch(self): """Test case for snapshots_ss_id_patch """ pass def test_snapshots_ss_id_reap_delete(self): """Test case for snapshots_ss_id_reap_delete """ pass def test_snapshots_ss_id_reap_get(self): """Test case for snapshots_ss_id_reap_get """ pass def test_snapshots_ss_id_reap_patch(self): """Test case for snapshots_ss_id_reap_patch """ pass def test_ui_data_get(self): """Test case for ui_data_get """ pass def test_ui_get(self): """Test case for ui_get """ pass def test_vmms_post(self): """Test case for vmms_post """ pass def test_vms_get(self): """Test case for vms_get """ pass def test_vms_post(self): """Test case for vms_post """ pass def test_vms_vm_id_delete(self): """Test case for vms_vm_id_delete """ pass def test_vms_vm_id_get(self): """Test case for vms_vm_id_get """ pass if __name__ == '__main__': unittest.main()

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5

6c908021c2de2f982552256959437d0c4c24f6d3

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py

Python

clusterdata/__init__.py

burgerdev/googleclusterdata

f1c443b72754082f41c927e83160627e79f5c74e

[ "MIT" ]

null

clusterdata/__init__.py

burgerdev/googleclusterdata

f1c443b72754082f41c927e83160627e79f5c74e

[ "MIT" ]

null

clusterdata/__init__.py

burgerdev/googleclusterdata

f1c443b72754082f41c927e83160627e79f5c74e

[ "MIT" ]

null

import config import database import schema import log

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null

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1

0

1

0

1

0

5

6cc7b5362822ef6107a4add9f2dd6cd32d870f05

71

py

Python

pangea/contrib/metasub/admin.py

LongTailBio/pangea-django

630551dded7f9e38f95eda8c36039e0de46961e7

[ "MIT" ]

null

pangea/contrib/metasub/admin.py

LongTailBio/pangea-django

630551dded7f9e38f95eda8c36039e0de46961e7

[ "MIT" ]

27

2020-03-26T02:55:12.000Z

2022-03-12T00:55:04.000Z

pangea/contrib/metasub/admin.py

LongTailBio/pangea-django

630551dded7f9e38f95eda8c36039e0de46961e7

[ "MIT" ]

1

2021-09-14T08:15:54.000Z

from django.contrib import admin # MetaSUB has no models to register.

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5

9f2122410fd11217e881b82be6fa41c59153b608

499

py

Python

pymonad/test/runTests.py

bjd2385/pymonad

baec7a540d9195b2da029d1a101edd7c385f94bb

[ "BSD-3-Clause" ]

38

2015-08-03T19:48:17.000Z

2021-01-29T07:57:18.000Z

pymonad/test/runTests.py

bjd2385/pymonad

baec7a540d9195b2da029d1a101edd7c385f94bb

[ "BSD-3-Clause" ]

2

2018-06-26T17:34:31.000Z

2018-11-07T17:37:03.000Z

pymonad/test/runTests.py

bjd2385/pymonad

baec7a540d9195b2da029d1a101edd7c385f94bb

[ "BSD-3-Clause" ]

7

2015-12-04T13:12:55.000Z

2021-01-29T07:57:19.000Z

# -------------------------------------------------------- # (c) Copyright 2014 by Jason DeLaat. # Licensed under BSD 3-clause licence. # -------------------------------------------------------- import unittest from pymonad.test.test_Reader import * from pymonad.test.test_Maybe import * from pymonad.test.test_Either import * from pymonad.test.test_List import * from pymonad.test.test_Monoid import * from pymonad.test.test_Writer import * from pymonad.test.test_State import * unittest.main()

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1

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1

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5

9f48cbf7cb2f27d553ea632563d9e5cfdba84dce

181

py

Python

examples/__init__.py

ubidreams/infobip-api-python-client

3e585bf00565627bd7da46a2c8f10b860faaeb8b

[ "Apache-2.0" ]

null

examples/__init__.py

ubidreams/infobip-api-python-client

3e585bf00565627bd7da46a2c8f10b860faaeb8b

[ "Apache-2.0" ]

null

examples/__init__.py

ubidreams/infobip-api-python-client

3e585bf00565627bd7da46a2c8f10b860faaeb8b

[ "Apache-2.0" ]

null

from infobip.util.configuration import Configuration infobip_username = "USERNAME" infobip_password = "PASSWORD" configuration = Configuration(infobip_username, infobip_password)

25.857143

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null

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1

0

5

9f8f51a703e9a0f949dd91d35e44cdd65139ef14

1,513

py

Python

src/python/LuisaCompute/_internal/logging.py

Mike-Leo-Smith/LuisaCompute

232c0039bffb743d3bb5dfffc40d37a39dcd7570

[ "BSD-3-Clause" ]

31

2020-11-21T08:16:53.000Z

2021-09-05T13:46:32.000Z

src/python/LuisaCompute/_internal/logging.py

Mike-Leo-Smith/LuisaCompute

232c0039bffb743d3bb5dfffc40d37a39dcd7570

[ "BSD-3-Clause" ]

1

2021-03-08T04:15:26.000Z

2021-03-19T04:40:02.000Z

src/python/LuisaCompute/_internal/logging.py

Mike-Leo-Smith/LuisaCompute

232c0039bffb743d3bb5dfffc40d37a39dcd7570

[ "BSD-3-Clause" ]

4

2020-12-02T09:41:22.000Z

2021-03-06T06:36:40.000Z

from ctypes import c_void_p, c_char_p, c_int, c_int32, c_uint32, c_int64, c_uint64, c_size_t from .config import dll dll.luisa_compute_set_log_level_verbose.restype = None dll.luisa_compute_set_log_level_verbose.argtypes = [] def set_log_level_verbose(): dll.luisa_compute_set_log_level_verbose() dll.luisa_compute_set_log_level_info.restype = None dll.luisa_compute_set_log_level_info.argtypes = [] def set_log_level_info(): dll.luisa_compute_set_log_level_info() dll.luisa_compute_set_log_level_warning.restype = None dll.luisa_compute_set_log_level_warning.argtypes = [] def set_log_level_warning(): dll.luisa_compute_set_log_level_warning() dll.luisa_compute_set_log_level_error.restype = None dll.luisa_compute_set_log_level_error.argtypes = [] def set_log_level_error(): dll.luisa_compute_set_log_level_error() dll.luisa_compute_log_verbose.restype = None dll.luisa_compute_log_verbose.argtypes = [c_char_p] def log_verbose(msg): dll.luisa_compute_log_verbose(msg.encode()) dll.luisa_compute_log_info.restype = None dll.luisa_compute_log_info.argtypes = [c_char_p] def log_info(msg): dll.luisa_compute_log_info(msg.encode()) dll.luisa_compute_log_warning.restype = None dll.luisa_compute_log_warning.argtypes = [c_char_p] def log_warning(msg): dll.luisa_compute_log_warning(msg.encode()) dll.luisa_compute_log_error.restype = None dll.luisa_compute_log_error.argtypes = [c_char_p] def log_error(msg): dll.luisa_compute_log_error(msg.encode())

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null

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1

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5

4c94490ad1ff3b0b65829329ea909d60b6abaaf1

214

py

Python

examples/calculator/celery_tasks/celery_config.py

saurabhindoria/celery-docker-swarm

6a26fabda32dd1b7bc5683c2e9e06bff256f940c

[ "MIT" ]

5

2020-12-19T04:34:34.000Z

2022-03-08T01:13:34.000Z

examples/calculator/celery_tasks/celery_config.py

saurabhindoria/celery-docker-swarm

6a26fabda32dd1b7bc5683c2e9e06bff256f940c

[ "MIT" ]

null

examples/calculator/celery_tasks/celery_config.py

saurabhindoria/celery-docker-swarm

6a26fabda32dd1b7bc5683c2e9e06bff256f940c

[ "MIT" ]

2

2021-09-13T20:01:37.000Z

2022-01-25T11:18:51.000Z

from celery_tasks.rabbitmq_config import RABBITMQ_USER, RABBITMQ_PWD, RABBITMQ_HOST, RABBITMQ_PORT broker_url = f'pyamqp://{RABBITMQ_USER}:{RABBITMQ_PWD}@{RABBITMQ_HOST}:{RABBITMQ_PORT}' result_backend = 'rpc://'

42.8

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5.551724

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0.285714

0.583851

0

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0

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1

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null

0

1

0

5

4ca749f215564a1c1b445a597ff194f8cf9b3b0b

52

py

Python

pssgp/toymodels/__init__.py

arplaboratory/python_gp_kalman_hyperparam

4540de21e98185767998a740ca47b20c7b31e563

[ "MIT" ]

null

pssgp/toymodels/__init__.py

arplaboratory/python_gp_kalman_hyperparam

4540de21e98185767998a740ca47b20c7b31e563

[ "MIT" ]

null

pssgp/toymodels/__init__.py

arplaboratory/python_gp_kalman_hyperparam

4540de21e98185767998a740ca47b20c7b31e563

[ "MIT" ]

null

from .data_funcs import * from .gp_samples import *

17.333333

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0.769231

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4.75

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0.153846

52

2

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true

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null

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null

0

1

0

1

0

1

0

5

4cb4d44b141abde99729c1d58d161de5f7d91f8f

81

py

Python

tcex/stix/__init__.py

kdeltared/tcex

818c0d09256764f871e42d9ca5916f92d941d882

[ "Apache-2.0" ]

18

2017-01-09T22:17:49.000Z

2022-01-24T20:46:42.000Z

tcex/stix/__init__.py

kdeltared/tcex

818c0d09256764f871e42d9ca5916f92d941d882

[ "Apache-2.0" ]

84

2017-04-11T13:47:49.000Z

2022-03-21T20:12:57.000Z

tcex/stix/__init__.py

kdeltared/tcex

818c0d09256764f871e42d9ca5916f92d941d882

[ "Apache-2.0" ]

43

2017-01-05T20:40:26.000Z

2022-03-31T19:18:02.000Z

"""STIX module for TcEx Framework""" # flake8: noqa from .model import StixModel

20.25

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5

4cbc39bf28f4e1c43f70a5429ac4d4858db84e55

37

py

Python

tests/__init__.py

jvfe/gtf2bed

7ac21759498ca9495030982d2a11c2a63149a75c

[ "BSD-3-Clause" ]

1

2021-04-22T09:27:35.000Z

tests/__init__.py

jvfe/gtf2bed

7ac21759498ca9495030982d2a11c2a63149a75c

[ "BSD-3-Clause" ]

null

tests/__init__.py

jvfe/gtf2bed

7ac21759498ca9495030982d2a11c2a63149a75c

[ "BSD-3-Clause" ]

null

"""Unit test package for gtf2bed."""

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0

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true

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null

0

1

0

1

0

null

0

1

0

5

4cdd2e037b099b0630eb42afc3340923adaff914

162

py

Python

personalPages/utils.py

Toliveira97/PersonalBlog

97b971e06821598be53166609ab685647d33f940

[ "MIT" ]

null

personalPages/utils.py

Toliveira97/PersonalBlog

97b971e06821598be53166609ab685647d33f940

[ "MIT" ]

4

2018-06-28T17:11:33.000Z

2019-09-24T11:04:29.000Z

personalPages/utils.py

Toliveira97/PersonalBlog

97b971e06821598be53166609ab685647d33f940

[ "MIT" ]

2

2018-10-04T16:12:06.000Z

2018-10-04T17:10:16.000Z

from .models import Person import os curr_username = os.environ['P_USERNAME'] def get_person(): return Person.objects.filter(username=curr_username).first()

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null

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1

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5

4ceda0071752211003377aece7e783a8d5c07cc2

81

py

Python

lib/runner/user_input_action.py

DPNT-Sourcecode/CHK-itei01

07c6c92feb20f64d7ce1b6504adbf17d6ad73adc

[ "Apache-2.0" ]

null

lib/runner/user_input_action.py

DPNT-Sourcecode/CHK-itei01

07c6c92feb20f64d7ce1b6504adbf17d6ad73adc

[ "Apache-2.0" ]

null

lib/runner/user_input_action.py

DPNT-Sourcecode/CHK-itei01

07c6c92feb20f64d7ce1b6504adbf17d6ad73adc

[ "Apache-2.0" ]

null

def get_user_input(args): return args[0] if len(args) > 0 else raw_input()

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null

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1

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5

98156a4780fa4ead2a9a27c2aff64ed75e17d56e

102

py

Python

glue/managers/__init__.py

glensc/glue

bb02512a2913da0e095f8d02fcfe3dea3ae8c9d0

[ "BSD-3-Clause" ]

514

2015-01-01T17:27:02.000Z

2022-03-22T03:41:15.000Z

glue/managers/__init__.py

seawenzhu/glue

37aecf52db6f5fd52cdb9e288fde80fa45a37c19

[ "BSD-3-Clause" ]

66

2015-01-02T06:03:54.000Z

2022-01-10T13:16:14.000Z

glue/managers/__init__.py

seawenzhu/glue

37aecf52db6f5fd52cdb9e288fde80fa45a37c19

[ "BSD-3-Clause" ]

80

2015-01-16T02:22:50.000Z

2021-09-15T09:47:45.000Z

from .project import ProjectManager from .simple import SimpleManager from .watch import WatchManager

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5

e218c981759dab0ff7a9fbcf93919796c10d6824

487

py

Python

napari_minimal_plugin/_napari_hook_implementations.py

haesleinhuepf/napari-minimal-plugin

cda2817feca6de8cbdafec58738185579ee58418

[ "Unlicense" ]

4

2021-01-20T16:41:01.000Z

2021-02-07T12:42:48.000Z

napari_minimal_plugin/_napari_hook_implementations.py

haesleinhuepf/napari-minimal-plugin

cda2817feca6de8cbdafec58738185579ee58418

[ "Unlicense" ]

null

napari_minimal_plugin/_napari_hook_implementations.py

haesleinhuepf/napari-minimal-plugin

cda2817feca6de8cbdafec58738185579ee58418

[ "Unlicense" ]

null

# Implementation of napari hooks according to # https://napari.org/docs/dev/plugins/for_plugin_developers.html#plugins-hook-spec from napari_plugin_engine import napari_hook_implementation from ._my_widget import MyWidget from ._my_function import my_function @napari_hook_implementation def napari_experimental_provide_dock_widget(): return MyWidget @napari_hook_implementation def napari_experimental_provide_function_widget(): return my_function, {'call_button':'Invert!'}

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5

e21fa16231378580b19a3537783b0a2d1181192a

88

py

Python

ontology/logistic_regression/sherlock/listify_circuits_k44_reverse.py

ehbeam/neuro-knowledge-engine

9dc56ade0bbbd8d14f0660774f787c3f46d7e632

[ "MIT" ]

15

2020-07-17T07:10:26.000Z

2022-02-18T05:51:45.000Z

ontology/neural_network/sherlock/listify_circuits_k44_reverse.py

YifeiCAO/neuro-knowledge-engine

9dc56ade0bbbd8d14f0660774f787c3f46d7e632

[ "MIT" ]

2

2022-01-14T09:10:12.000Z

2022-01-28T17:32:42.000Z

ontology/neural_network/sherlock/listify_circuits_k44_reverse.py

YifeiCAO/neuro-knowledge-engine

9dc56ade0bbbd8d14f0660774f787c3f46d7e632

[ "MIT" ]

4

2021-12-22T13:27:32.000Z

2022-02-18T05:51:47.000Z

#!/bin/python import listify_circuits listify_circuits.optimize_circuits(44, 'reverse')

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e2421d3165a2b9a67a2190cd39c72fe7e37db89f

92

py

Python

database_connection/__init__.py

4398TempleSpring2020/cscapstoneproject-infinitetrivia

9b0d307a447f519bef1b6dabe93c73b2d1f329e3

[ "MIT" ]

1

2020-05-18T06:14:21.000Z

database_connection/__init__.py

ahmadsaad007/cscapstoneproject-infinitetrivia

0dc590754c96c253e10a6613bff1c7c41baee75d

[ "MIT" ]

3

2020-04-06T18:11:29.000Z

2020-04-09T21:01:23.000Z

database_connection/__init__.py

ahmadsaad007/cscapstoneproject-infinitetrivia

0dc590754c96c253e10a6613bff1c7c41baee75d

[ "MIT" ]

2

2020-05-18T06:08:25.000Z

2020-07-08T04:37:41.000Z

import os import sys top_level_dir = os.path.abspath('../') sys.path.append(top_level_dir)

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e27a05c4e70b883367981ac4bb6111608281f6a8

343

py

Python

src/tat/__init__.py

ShinoYasx/tat

12ccf9cde02d25fc071153cbf48d9f4675733f3a

[ "Apache-2.0" ]

null

src/tat/__init__.py

ShinoYasx/tat

12ccf9cde02d25fc071153cbf48d9f4675733f3a

[ "Apache-2.0" ]

null

src/tat/__init__.py

ShinoYasx/tat

12ccf9cde02d25fc071153cbf48d9f4675733f3a

[ "Apache-2.0" ]

1

2021-06-28T15:41:09.000Z

from .image_entry import ImageEntry from .cluster_image_entry import ClusterImageEntry from .checkable_image_entry import CheckableImageEntry from .layer_image_entry import LayerImageEntry from .preview_window import PreviewWindow from .cluster_editor import ClusterEditor from .main_window import MainWindow from .layer_data import LayerData

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1

0

1

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5

e28ca978b9b2391b20b76a581b44fa2f3dddc850

2,074

py

Python

io_utils/io_netcdf.py

olmozavala/eoas-pyutils

f552a512e250f8aa16e1f3ababf8b4644253918b

[ "MIT" ]

null

io_utils/io_netcdf.py

olmozavala/eoas-pyutils

f552a512e250f8aa16e1f3ababf8b4644253918b

[ "MIT" ]

null

io_utils/io_netcdf.py

olmozavala/eoas-pyutils

f552a512e250f8aa16e1f3ababf8b4644253918b

[ "MIT" ]

null

import os from os import walk, listdir from os.path import join import numpy as np from netCDF4 import Dataset import xarray as xr def read_netcdf_xr(file_name:str, fields: list, replace_to_nan=True, rename_fields=[]): nc_file = xr.load_dataset(file_name) all_fields = list(nc_file.variables) if len(fields) == 0: fields = all_fields # print(F"Reading all the fields in the file: {fields}") if not(np.all([field in all_fields for field in fields])): print(F"Warning!!!!! Fields {[field for field in fields if not(field in all_fields)]} are not" F" in the netcdf file {file_name}, removing them from the list.") fields = [field for field in fields if field in all_fields ] # This is just a patch to 'rename' the variables on the fly if len(rename_fields) > 0: nc_fields = {rename_fields[idx]: all_fields[field] for idx, field in enumerate(fields)} else: nc_fields = {field: nc_file[field] for field in fields} return nc_fields def read_netcdf(file_name:str, fields: list, replace_to_nan=True, rename_fields=[]): nc_file = Dataset(file_name, "r", format="NETCDF4") all_fields = nc_file.variables if len(fields) == 0: fields = all_fields # print(F"Reading all the fields in the file: {fields}") if not(np.all([field in all_fields for field in fields])): print(F"Warning!!!!! Fields {[field for field in fields if not(field in all_fields)]} are not" F" in the netcdf file {file_name}, removing them from the list.") fields = [field for field in fields if field in all_fields ] # This is just a patch to 'rename' the variables on the fly if len(rename_fields) > 0: nc_fields = {rename_fields[idx]: all_fields[field] for idx, field in enumerate(fields)} else: nc_fields = {field: all_fields[field] for field in fields} return nc_fields def read_multiple_netcdf_xarr(file_names:str, fields: list): ds = [] for c_file in file_names: ds = xr.load_dataset(c_file)

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0.059568

0.095309

0.78481

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0

0.003757

0.22999

2,074

54

103

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0

1

0.078947

false

0

0.157895

0

0.289474

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0

null

0

1

0

null

0

5

2c45761d3fab431afb2b3b4dd0d14766e4e53aa9

1,255

py

Python

pyfiles/mixins.py

tba91/pyfiles

5fb7547f507520d14bdd69d1657d90be93dbab8a

[ "MIT" ]

null

pyfiles/mixins.py

tba91/pyfiles

5fb7547f507520d14bdd69d1657d90be93dbab8a

[ "MIT" ]

null

pyfiles/mixins.py

tba91/pyfiles

5fb7547f507520d14bdd69d1657d90be93dbab8a

[ "MIT" ]

null

import os import stat import pwd import grp class FileInfoMixin: @property def size(self): return os.stat(self.path).st_size @property def inode(self): return os.stat(self.path).st_ino @property def mode(self): return stat.filemode(os.stat(self.path).st_mode) @property def change_at(self): return os.stat(self.path).st_ctime @property def modify_at(self): return os.stat(self.path).st_mtime @property def access_at(self): return os.stat(self.path).st_atime @property def uid(self): return os.stat(self.path).st_uid @property def gid(self): return os.stat(self.path).st_gid @property def dev(self): return os.stat(self.path).st_dev @property def links(self): return os.stat(self.path).st_nlink @property def owner_name(self): return pwd.getpwuid(self.uid).pw_name @property def owner_directory(self): return pwd.getpwuid(self.uid).pw_dir @property def owner_shell(self): return pwd.getpwuid(self.uid).pw_shell @property def group_name(self): return grp.getgrgid(self.gid).gr_name

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1,255

4.32948

0.231214

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0.133511

0.186916

0.461949

0.440587

0.11215

0

0.282869

1,255

62

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20.241935

0.832222

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false

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null

0

1

0

1

0

5

2c81da5f2d162a9dd8c0e7c9121c177c1d0515ea

294

py

Python

tests/__init__.py

dainiuskreivenas/rbs

1d371963ccd64976b3f0603dead891f51996cfb1

[ "MIT" ]

1

2021-10-04T17:44:04.000Z

tests/__init__.py

dainiuskreivenas/rbs

1d371963ccd64976b3f0603dead891f51996cfb1

[ "MIT" ]

12

2019-07-16T08:31:50.000Z

2019-11-19T17:58:53.000Z

tests/__init__.py

dainiuskreivenas/rbs

1d371963ccd64976b3f0603dead891f51996cfb1

[ "MIT" ]

null

import Assert_Decrement_Numerics import Assert_Divide_Numerics import Assert_Increment_Numerics import Assert_Multiply_Numerics import Operators_Numerics_Test import Test_Decrement_Numerics import Test_Divide_Numerics import Test_Increment_Numerics import Test_Multiply_Numerics import fsaTests

29.4

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294

6.763158

0.263158

0.435798

0.233463

0

0.064626

294

10

33

29.4

0.934545

0

0.4

1

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true

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null

1

0

null

0

1

0

1

0

1

0

5

2c9157025f1b7c042e295bfdf74eb03778b1705c

236

py

Python

models/__init__.py

Zzlongjuanfeng/pytorch-deep-coral

6829a3cb82968ab4e80d80906a59ea453ec2d147

[ "MIT" ]

null

models/__init__.py

Zzlongjuanfeng/pytorch-deep-coral

6829a3cb82968ab4e80d80906a59ea453ec2d147

[ "MIT" ]

null

models/__init__.py

Zzlongjuanfeng/pytorch-deep-coral

6829a3cb82968ab4e80d80906a59ea453ec2d147

[ "MIT" ]

null

from .discriminator import Discriminator from .lenet import LeNetClassifier, LeNetEncoder from .resnet import Classifier, ResNet34Encoder __all__ = (LeNetClassifier, LeNetEncoder, Discriminator, Classifier, ResNet34Encoder)

33.714286

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0.019704

0.139831

236

6

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0

1

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false

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null

1

0

1

0

null

0

1

0

1

0

5

2ca203f36abcefe933d3687591f45af92f139e60

60

py

Python

www/services/synapse_space/daa/__init__.py

ki-tools/sls_ki_synapse_admin_py

d9483d01000b61c4e8d129bdc06497ae1a27484b

[ "Apache-2.0" ]

null

www/services/synapse_space/daa/__init__.py

ki-tools/sls_ki_synapse_admin_py

d9483d01000b61c4e8d129bdc06497ae1a27484b

[ "Apache-2.0" ]

null

www/services/synapse_space/daa/__init__.py

ki-tools/sls_ki_synapse_admin_py

d9483d01000b61c4e8d129bdc06497ae1a27484b

[ "Apache-2.0" ]

null

from .grant_daa_access_service import GrantDaaAccessService

30

59

0.916667

7

60

7.428571

1

0

0.066667

60

1

60

0.928571

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null

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0

1

0

1

0

5

2cadc19a69605e2476db029493986c604a5eede9

70

py

Python

graphchem/preprocessing/__init__.py

tjkessler/GraphChem

94361ee8cc5977b67226bfc1e2b4061b47b7469f

[ "MIT" ]

10

2019-01-14T16:11:20.000Z

2021-03-17T06:14:05.000Z

graphchem/preprocessing/__init__.py

tjkessler/GraphChem

94361ee8cc5977b67226bfc1e2b4061b47b7469f

[ "MIT" ]

2

2021-03-30T03:06:25.000Z

2021-04-23T19:09:33.000Z

graphchem/preprocessing/__init__.py

ecrl/graphchem

94361ee8cc5977b67226bfc1e2b4061b47b7469f

[ "MIT" ]

3

2021-06-04T05:06:09.000Z

2022-03-27T17:31:09.000Z

from .features import CompoundEncoder, atom_to_string, bond_to_string

35

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10

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5.7

0.8

0.280702

0

0.085714

70

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0.890625

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true

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1

0

1

0

null

0

1

0

1

0

5

e2eb0f3bb39c92abc911fcaa775cbd46891a355a

9,893

py

Python

output/combinedgraphics/generateGraphicsRandom.py

cardel/lamFria

e7ce6f8eee727975fd29a2fe169dfcce40b97bdf

[ "Apache-2.0" ]

null

output/combinedgraphics/generateGraphicsRandom.py

cardel/lamFria

e7ce6f8eee727975fd29a2fe169dfcce40b97bdf

[ "Apache-2.0" ]

null

output/combinedgraphics/generateGraphicsRandom.py

cardel/lamFria

e7ce6f8eee727975fd29a2fe169dfcce40b97bdf

[ "Apache-2.0" ]

null

#!/usr/bin/python # -*- coding: utf-8 -*- #Author: Carlos Andres Delgado #Creation date 19th December 2020 #Last edition date 19th December 2020 #Description: Save and generate graphics import numpy as np #np.set_printoptions(threshold=np.inf) import matplotlib.pyplot as plt import time import math from matplotlib.font_manager import FontProperties from matplotlib.ticker import (MultipleLocator, AutoMinorLocator) minq = -10 maxq = 10 IndexZero = 0 nan=float('nan') percentNodes=np.arange(0,100,5) import loadFile as loader import sys def generateArrays(archivoA, archivoB, archivoC,archivoD): dataA = loader.getData(archivoA) dataB = loader.getData(archivoB) dataC = loader.getData(archivoC) dataD = loader.getData(archivoD) return [dataA, dataB,dataC, dataD] def generateGraphics(data,fileOutput): timestr = time.strftime("%Y%m%d_%H%M%S") font = {'weight': 'normal', 'size': 8} fig1, axs = plt.subplots(3, sharex=True) #fig3.suptitle("Differential fractal in "+fileOutput+" networks") names = ["4000 nodes","8000 nodes","16000 nodes","64000 nodes"] attack = ["a) random","b) degree","c) centrality"] color = ["r","b","g","k"] statusA = ["r--","r-","r--","r-"] statusB = ["b--","b-","b--","b-"] ax2 = [] for k in range(0,3): ax2.append(axs[k].twinx()) for k in range(0,3): ax2[k].set_ylabel(r'$\Delta D_q$',color='blue') ax2[k].tick_params(axis='y', labelcolor='blue') #ax2[k].yaxis.set_major_locator(MultipleLocator(0.5)) #File1, file2, file3, file4 for i in range(0,2): Dq = data[:][i] #Random, #Degree, #centrality for k in range(0,3): element = Dq[k] rindex = np.sum(element,axis=1)/element.shape[1] differential = np.abs(np.amax(element,axis=1)-np.amin(element,axis=1)) #axs[k].plot(percentNodes,rindex,color[i]+'--' , label = u'R '+names[i]) axs[k].plot(percentNodes,rindex,statusA[i], label = u'R '+names[i]) axs[k].set_ylabel('R',color='red') axs[k].tick_params(axis='y', labelcolor='red') #ax2.plot(percentNodes,differential,color[i]+':' , label = r'$\Delta D_q$ '+names[i]) ax2[k].plot(percentNodes,differential,statusB[i] , label = r'$\Delta D_q$ '+names[i]) axs[k].set_xlabel('% nodes', fontdict=font) for k in range(0,3): #axs[k].yaxis.set_major_locator(MultipleLocator(0.5)) axs[k].set_xlim(0,95) axs[k].xaxis.set_major_locator(MultipleLocator(5)) axs[k].set_title(attack[k], fontdict=font) #axs[k].grid() fig1.tight_layout() lgd = axs[0].legend(loc='upper left', prop={'size':8}, bbox_to_anchor=(1.2,1)) lgd2 = ax2[0].legend(loc='upper left', prop={'size':8}, bbox_to_anchor=(1.2,0.6)) fig1.savefig('4000-8000'+fileOutput+'.svg',bbox_extra_artists=(lgd,lgd2),bbox_inches='tight',format="svg") #fig1.legend(bbox_to_anchor=(1.05, 1), loc='upper left', borderaxespad=0.) #fig1.savefig('50-100'+fileOutput+'.svg',format="svg") ##SECOND timestr = time.strftime("%Y%m%d_%H%M%S") font = {'weight': 'normal', 'size': 8} fig2, axs = plt.subplots(3, sharex=True) #fig3.suptitle("Differential fractal in "+fileOutput+" networks") attack = ["a) random","b) degree","c) centrality"] color = ["r","b","g","k"] ax2 = [] for k in range(0,3): ax2.append(axs[k].twinx()) for k in range(0,3): ax2[k].set_ylabel(r'$\Delta D_q$',color='blue') ax2[k].tick_params(axis='y', labelcolor='blue') #ax2[k].yaxis.set_major_locator(MultipleLocator(0.5)) ax2[k].legend() #File1, file2, file3, file4 for i in range(2,4): Dq = data[:][i] #Random, #Degree, #centrality for k in range(0,3): element = Dq[k] rindex = np.sum(element,axis=1)/element.shape[1] differential = np.abs(np.amax(element,axis=1)-np.amin(element,axis=1)) #axs[k].plot(percentNodes,rindex,color[i]+'--' , label = u'R '+names[i]) axs[k].plot(percentNodes,rindex,statusA[i], label = u'R '+names[i]) axs[k].set_ylabel('R',color='red') axs[k].tick_params(axis='y', labelcolor='red') #ax2.plot(percentNodes,differential,color[i]+':' , label = r'$\Delta D_q$ '+names[i]) ax2[k].plot(percentNodes,differential,statusB[i] , label = r'$\Delta D_q$ '+names[i]) axs[k].set_xlabel('% nodes', fontdict=font) for k in range(0,3): #axs[k].yaxis.set_major_locator(MultipleLocator(0.5)) axs[k].set_xlim(0,95) axs[k].xaxis.set_major_locator(MultipleLocator(5)) axs[k].set_title(attack[k], fontdict=font) #axs[k].grid() fig2.tight_layout() lgd = axs[0].legend(loc='upper left', prop={'size':8}, bbox_to_anchor=(1.1,1)) lgd2 = ax2[0].legend(loc='upper left', prop={'size':8}, bbox_to_anchor=(1.1,0.6)) fig2.savefig('16000-64000'+fileOutput+'.svg',bbox_extra_artists=(lgd,lgd2),bbox_inches='tight',format="svg") #fig2.legend(bbox_to_anchor=(1.05, 1), loc='upper left', borderaxespad=0.) #fig2.savefig('200-500'+fileOutput+'.svg',format="svg") # DqRandom # RRandomA = np.nansum(DqRandomA,axis=1)/(DqRandomA.shape[1]) # RRandomB = np.nansum(DqRandomB,axis=1)/(DqRandomB.shape[1]) # RRandomC = np.nansum(DqRandomC,axis=1)/(DqRandomC.shape[1]) # DeltaRandomA # DeltaRandomB # DeltaRandomC # deltaA = np.append(deltaA, np.abs(np.max(DqRandom[k])-np.min(DqRandom[i]))) # #Degree # #Centrality # for i in range(0,4): # dataIn = data[i] # deltaA = np.array([]) # deltaB = np.array([]) # deltaC = np.array([]) # DqRandom = dataIn[0] # DqDegree = dataIn[1] # DqCentrality = dataIn[2] # RRandom = np.nansum(DqRandom,axis=1)/(DqRandom.shape[1]) # RDegree = np.nansum(DqDegree,axis=1)/(DqDegree.shape[1]) # RCentrality = np.nansum(DqCentrality,axis=1)/(DqDegree.shape[1]) # De # for k in range(0,DqRandom.shape[0]): # if k < DqRandom.shape[0]: # deltaA = np.append(deltaA, np.abs(np.max(DqRandom[k])-np.min(DqRandom[i]))) # if k < DqDegree.shape[0]: # deltaB = np.append(deltaB, np.abs(np.max(DqDegree[k])-np.min(DqDegree[i]))) # if k < DqCentrality.shape[0]: # deltaC = np.append(deltaC, np.abs(np.max(DqCentrality[k])-np.min(DqCentrality[i]))) # axs[i].plot(percentNodes,deltaA,'ro' , label = r'$\Delta D_q$ random') # axs[i].plot(percentNodes,deltaB,'go' , label = r'$\Delta D_q$ degree') # axs[i].plot(percentNodes,deltaC,'bo' , label = r'$\Delta D_q$ centrality') # axs[i].plot(percentNodes,RRandom,'r.' , label = u'R random') # axs[i].plot(percentNodes,RDegree,'g.' , label = u'R degree') # axs[i].plot(percentNodes,RCentrality,'b.' , label = u'R centrality') # #fontP = FontProperties() # #fontP.set_size('small') # axs[i].set_xlabel('Lost nodes (%)', fontdict=font) # axs[i].set_ylabel(r'$\Delta D_q$', fontdict=font) # axs[i].yaxis.set_major_locator(MultipleLocator(1)) # axs[i].set_xlim(0,95) # axs[i].xaxis.set_major_locator(MultipleLocator(5)) # #plt.title(u'Multifractality and robustness', fontdict=font) # #axs[i,j].xticks(np.arange(min(percentNodes), max(percentNodes)+1, 10)) # #lgd = axs[i,j].legend(loc='upper left', prop={'size':8}, bbox_to_anchor=(1,1)) # axs[i].grid(True) # #plt.savefig('output/graphics/'+"Dq"+fileOutput+timestr+'.svg', bbox_extra_artists=(lgd,),bbox_inches='tight',format="svg") # #plt.savefig(fileOutput+timestr+'.svg', bbox_extra_artists=(lgd,),bbox_inches='tight',format="svg") # axs[0].set_title(names[0], y=0, pad=-70, verticalalignment="top", fontdict=font) # axs[1].set_title(names[1], y=0, pad=-70, verticalalignment="top", fontdict=font) # axs[2].set_title(names[2], y=0, pad=-70, verticalalignment="top", fontdict=font) # axs[3].set_title(names[3], y=0, pad=-85, verticalalignment="top", fontdict=font) # lgd = axs[0].legend(loc='upper left', prop={'size':8}, bbox_to_anchor=(1,1)) # fig1.savefig(fileOutput+'.svg',bbox_extra_artists=(lgd,),bbox_inches='tight',format="svg") # fig2, axs = plt.subplots(4, sharex=True, sharey=True) # fig2.tight_layout(h_pad=2) # for i in range(0,4): # dataIn = data[i] # deltaA = np.array([]) # deltaB = np.array([]) # deltaC = np.array([]) # DqRandom = dataIn[0] # DqDegree = dataIn[1] # DqCentrality = dataIn[2] # font = {'weight': 'normal', 'size': 8} # RRandom = np.nansum(DqRandom,axis=1)/(DqRandom.shape[1]) # RDegree = np.nansum(DqDegree,axis=1)/(DqDegree.shape[1]) # RCentrality = np.nansum(DqCentrality,axis=1)/(DqDegree.shape[1]) # axs[i].plot(percentNodes,RRandom,'r-' , label = u'R random') # axs[i].plot(percentNodes,RDegree,'g-' , label = u'R degree') # axs[i].plot(percentNodes,RCentrality,'b-' , label = u'R centrality') # axs[i].set_xlabel('% nodes', fontdict=font) # axs[i].set_ylabel(r'R-index', fontdict=font) # axs[i].yaxis.set_major_locator(MultipleLocator(1)) # axs[i].set_xlim(0,95) # axs[i].xaxis.set_major_locator(MultipleLocator(5)) # #axs[i,j].xticks(np.arange(min(percentNodes), max(percentNodes)+1, 10)) # #lgd = axs[i,j].legend(loc='upper left', prop={'size':8}, bbox_to_anchor=(1,1)) # axs[i].grid(True) # #plt.savefig('output/graphics/'+"Dq"+fileOutput+timestr+'.svg', bbox_extra_artists=(lgd,),bbox_inches='tight',format="svg") # #plt.savefig(fileOutput+timestr+'.svg', bbox_extra_artists=(lgd,),bbox_inches='tight',format="svg") # axs[0].set_title(names[0], y=0, pad=-70, verticalalignment="top", fontdict=font) # axs[1].set_title(names[1], y=0, pad=-70, verticalalignment="top", fontdict=font) # axs[2].set_title(names[2], y=0, pad=-70, verticalalignment="top", fontdict=font) # axs[3].set_title(names[3], y=0, pad=-85, verticalalignment="top", fontdict=font) # lgd = axs[0].legend(loc='upper left', prop={'size':8}, bbox_to_anchor=(1,1)) # fig2.savefig("R-index"+fileOutput+timestr+'.svg', bbox_extra_artists=(lgd,),bbox_inches='tight',format="svg") archivoA = sys.argv[1] archivoB = sys.argv[2] archivoC = sys.argv[3] archivoD = sys.argv[4] fileOutput = sys.argv[5] data = generateArrays(archivoA, archivoB, archivoC,archivoD) generateGraphics(data,fileOutput)

37.052434

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1,523

9,893

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1

0

1

0

null

0

5

39024c96881eebe73375a92ca3a3cf5be6dc7918

117

py

Python

src/api/types.py

MrPingouinMC/Amulet-Map-Editor

7fe0d16a58875e718d2a6ca90752e9ff72bf2173

[ "MIT" ]

1

2021-11-12T01:26:06.000Z

src/api/types.py

MrPingouinMC/Amulet-Map-Editor

7fe0d16a58875e718d2a6ca90752e9ff72bf2173

[ "MIT" ]

null

src/api/types.py

MrPingouinMC/Amulet-Map-Editor

7fe0d16a58875e718d2a6ca90752e9ff72bf2173

[ "MIT" ]

null

from __future__ import annotations from collections import namedtuple Point = namedtuple("Point", ("x", "y", "z"))

19.5

44

0.726496

14

117

5.785714

0.714286

0.37037

0

0.136752

117

5

45

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null

1

0

1

0

null

0

1

0

1

0

5

1aae2bd3f4a33093ee3642695878486219711e46

67

py

Python

helium/importexport/__init__.py

HeliumEdu/platform

54b82a40c21fd14d1b7f37d5f2afb51eea2f8cf5

[ "MIT" ]

15

2018-01-02T00:44:58.000Z

2022-03-19T21:38:29.000Z

helium/importexport/__init__.py

HeliumEdu/platform

54b82a40c21fd14d1b7f37d5f2afb51eea2f8cf5

[ "MIT" ]

327

2017-11-24T22:36:07.000Z

2022-02-10T08:09:08.000Z

helium/importexport/__init__.py

HeliumEdu/platform

54b82a40c21fd14d1b7f37d5f2afb51eea2f8cf5

[ "MIT" ]

3

2018-05-04T17:57:58.000Z

2021-11-18T13:58:46.000Z

default_app_config = 'helium.importexport.apps.ImportExportConfig'

33.5

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1

67

0.875

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0

1

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1

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null

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1

0

1

null

0

1

0

5

204c38ba38f342c8438718aa6a0cb0efedc759b8

122

py

Python

wiki4codes/lib_and_frameworks/detectron2/vhelper/dataset/coco/__init__.py

innerNULL/wiki4codes

b707557de24befba0cd9dcacf66d74e5c122bb18

[ "Apache-2.0" ]

null

wiki4codes/lib_and_frameworks/detectron2/vhelper/dataset/coco/__init__.py

innerNULL/wiki4codes

b707557de24befba0cd9dcacf66d74e5c122bb18

[ "Apache-2.0" ]

null

wiki4codes/lib_and_frameworks/detectron2/vhelper/dataset/coco/__init__.py

innerNULL/wiki4codes

b707557de24befba0cd9dcacf66d74e5c122bb18

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # file: __init__.py # date: 2021-09-23 from .id2label import * from .en_label2cn_label import *

15.25

32

0.663934

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122

4.166667

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0

0.108911

0.172131

122

7

33

17.428571

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0

1

0

true

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1

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null

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1

0

null

0

1

0

1

0

1

0

5

2054583403bca8cd3f4590d7e3e4209217d70f7b

60

py

Python

vennsketch/__init__.py

dave31415/vennsketch

fae9ac1465cd92f382852610e2f42574d1244305

[ "MIT" ]

null

vennsketch/__init__.py

dave31415/vennsketch

fae9ac1465cd92f382852610e2f42574d1244305

[ "MIT" ]

null

vennsketch/__init__.py

dave31415/vennsketch

fae9ac1465cd92f382852610e2f42574d1244305

[ "MIT" ]

null

from vennsketch.vennsketch import create_blob, check_overlap

60

0.9

8

60

6.5

0.875

0

0.066667

60

1

60

0.928571

0

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1

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null

0

1

0

null

0

1

0

1

0

1

0

5

648f69304d4e7612938224ca60ed0d7ff408957b

82

py

Python

wiki_movie/image/__init__.py

jaredkeil/wikiVideoCreator

769e3681d2580b84149a13d039d828b6fc576bde

[ "MIT" ]

null

wiki_movie/image/__init__.py

jaredkeil/wikiVideoCreator

769e3681d2580b84149a13d039d828b6fc576bde

[ "MIT" ]

null

wiki_movie/image/__init__.py

jaredkeil/wikiVideoCreator

769e3681d2580b84149a13d039d828b6fc576bde

[ "MIT" ]

null

from .downloader import ImageDownloader from .utils import resize_image_directory

27.333333

41

0.878049

10

82

7

0.8

0

0.097561

82

2

42

41

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0

1

0

true

0

1

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1

0

1

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null

0

1

0

null

0

1

0

1

0

1

0

5

64ab103b5ac0a6563ea90998bfe1dd5004c80f91

1,758

py

Python

pydsdl/_expression/__init__.py

coderkalyan/pydsdl

ae3519229e85167383748044c0462979e17c3308

[ "MIT" ]

4

2020-02-11T08:39:07.000Z

2021-09-09T20:37:52.000Z

pydsdl/_expression/__init__.py

coderkalyan/pydsdl

ae3519229e85167383748044c0462979e17c3308

[ "MIT" ]

70

2018-10-31T19:19:52.000Z

2022-03-28T08:06:08.000Z

pydsdl/_expression/__init__.py

coderkalyan/pydsdl

ae3519229e85167383748044c0462979e17c3308

[ "MIT" ]

8

2018-11-20T14:56:34.000Z

2021-11-25T16:33:40.000Z

# Copyright (c) 2018 UAVCAN Consortium # This software is distributed under the terms of the MIT License. # Author: Pavel Kirienko <pavel@uavcan.org> from ._any import Any as Any from ._any import UndefinedOperatorError as UndefinedOperatorError from ._any import UndefinedAttributeError as UndefinedAttributeError from ._any import InvalidOperandError as InvalidOperandError from ._primitive import Primitive as Primitive from ._primitive import Rational as Rational from ._primitive import Boolean as Boolean from ._primitive import String as String from ._container import Container as Container from ._container import Set as Set from ._operator import OperatorOutput as OperatorOutput from ._operator import BinaryOperator as BinaryOperator from ._operator import AttributeOperator as AttributeOperator from ._operator import positive as positive from ._operator import negative as negative from ._operator import logical_not as logical_not from ._operator import logical_or as logical_or from ._operator import logical_and as logical_and from ._operator import equal as equal from ._operator import not_equal as not_equal from ._operator import less_or_equal as less_or_equal from ._operator import greater_or_equal as greater_or_equal from ._operator import less as less from ._operator import greater as greater from ._operator import bitwise_and as bitwise_and from ._operator import bitwise_xor as bitwise_xor from ._operator import bitwise_or as bitwise_or from ._operator import add as add from ._operator import subtract as subtract from ._operator import multiply as multiply from ._operator import divide as divide from ._operator import modulo as modulo from ._operator import power as power from ._operator import attribute as attribute

41.857143

68

0.843003

248

1,758

5.75

0.217742

0.201964

0.302945

0.064516

0.056802

0

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1,758

41

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null

0

1

0

1

0

1

0

5

64b9ecb46f017c09d9bcd3ff2bab83769e7fa45a

164

py

Python

Client/Classes/log.py

crew/dds-client

5d530f053955df07b75410807816241a10b567d3

[ "MIT" ]

null

Client/Classes/log.py

crew/dds-client

5d530f053955df07b75410807816241a10b567d3

[ "MIT" ]

null

Client/Classes/log.py

crew/dds-client

5d530f053955df07b75410807816241a10b567d3

[ "MIT" ]

null

# TODO: Figure out if this is even being used... class logging(object): def __init__(self, arg): super(logging, self).__init__() self.arg = arg

27.333333

48

0.634146

23

164

4.173913

0.73913

0.166667

0.229167

0

0.243902

164

5

49

32.8

0.774194

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0

0.2

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0.25

false

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0.5

0

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1

0

null

0

1

0

1

0

5

3743531a4f2b8c068ae39cbf3ccd74332cc7876d

1,027

py

Python

aula13/soma_quadrados.py

kevinscaccia/estrutura-de-dados

3614fe4fcaa9ea66ee14a73cf0633e33b15aaabb

[ "MIT" ]

65

2016-02-16T13:56:50.000Z

2022-02-02T01:32:44.000Z

aula13/soma_quadrados.py

kevinscaccia/estrutura-de-dados

3614fe4fcaa9ea66ee14a73cf0633e33b15aaabb

[ "MIT" ]

1

2016-03-22T13:59:14.000Z

aula13/soma_quadrados.py

kevinscaccia/estrutura-de-dados

3614fe4fcaa9ea66ee14a73cf0633e33b15aaabb

[ "MIT" ]

46

2016-02-17T12:38:30.000Z

2022-03-18T00:20:16.000Z

from collections import Counter def soma_quadrados(n): pass import unittest class SomaQuadradosPerfeitosTestes(unittest.TestCase): def teste_0(self): self.assert_possui_mesmo_elementos([0], soma_quadrados(0)) def teste_1(self): self.assert_possui_mesmo_elementos([1], soma_quadrados(1)) def teste_2(self): self.assert_possui_mesmo_elementos([1, 1], soma_quadrados(2)) def teste_3(self): self.assert_possui_mesmo_elementos([1, 1, 1], soma_quadrados(3)) def teste_4(self): self.assert_possui_mesmo_elementos([4], soma_quadrados(4)) def teste_5(self): self.assert_possui_mesmo_elementos([4, 1], soma_quadrados(5)) def teste_11(self): self.assert_possui_mesmo_elementos([9, 1, 1], soma_quadrados(11)) def teste_12(self): self.assert_possui_mesmo_elementos([4, 4, 4], soma_quadrados(12)) def assert_possui_mesmo_elementos(self, esperado, resultado): self.assertEqual(Counter(esperado), Counter(resultado))

27.026316

73

0.708861

141

1,027

4.851064

0.219858

0.171053

0.223684

0.342105

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1,027

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74

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0.565217

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null

0

1

0

null

0

1

0

1

0

1

0

5

377ef60fb9109981759b32052478830ad488775f

1,553

py

Python

pymtl3/stdlib/mem/ROMRTL.py

kevinyuan/pymtl3

5949e6a4acc625c0ccbbb25be3af1d0db683df3c

[ "BSD-3-Clause" ]

152

2020-06-03T02:34:11.000Z

2022-03-30T04:16:45.000Z

pymtl3/stdlib/mem/ROMRTL.py

kevinyuan/pymtl3

5949e6a4acc625c0ccbbb25be3af1d0db683df3c

[ "BSD-3-Clause" ]

139

2019-05-29T00:37:09.000Z

2020-05-17T16:49:26.000Z

pymtl3/stdlib/mem/ROMRTL.py

kevinyuan/pymtl3

5949e6a4acc625c0ccbbb25be3af1d0db683df3c

[ "BSD-3-Clause" ]

22

2020-05-18T13:42:05.000Z

2022-03-11T08:37:51.000Z

""" ======================================================================== ROMRTL.py ======================================================================== Multiported ROM Author : Shunning Jiang Date : June 18, 2020 """ from pymtl3 import * class CombinationalROMRTL( Component ): def construct( s, Type, num_entries, data, num_ports=1 ): assert len(data) == num_entries s.raddr = [ InPort( clog2(num_entries) ) for _ in range(num_ports) ] s.rdata = [ OutPort( Type ) for _ in range(num_ports) ] s.mem = [ Wire(Type) for _ in range(num_entries) ] for i in range(num_entries): s.mem[i] //= data[i] @update def up_read_rom(): for i in range(num_ports): s.rdata[i] @= s.mem[ s.raddr[i] ] class SequentialROMRTL( Component ): def construct( s, Type, num_entries, data, num_ports=1 ): assert len(data) == num_entries s.raddr = [ InPort( clog2(num_entries) ) for _ in range(num_ports) ] s.rdata = [ OutPort( Type ) for _ in range(num_ports) ] s.mem = [ Wire(Type) for _ in range(num_entries) ] for i in range(num_entries): s.mem[i] //= data[i] @update_ff def up_read_rom(): for i in range(num_ports): s.rdata[i] <<= s.mem[ s.raddr[i] ] #----------------------------------------------------------------------- # line_trace #----------------------------------------------------------------------- def line_trace( s ): return "|".join( [ f"[{s.raddr[i]}]->{s.rdata[i]}" for i in range(len(s.raddr)) ] )

29.301887

87

0.4868

191

1,553

3.795812

0.256545

0.106207

0.137931

0.107586

0.744828

0

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0.208628

1,553

52

88

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0.666667

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false

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0.333333

0

null

0

1

0

null

0

5

3795e587b15e2a36a4b3f2436d57b23d4f85d161

93

py

Python

Sea/adapter/couplings/ViewProviderCoupling.py

FRidh/Sea

b474e93a449570a9ba3b915c4d80f814feee2545

[ "BSD-3-Clause" ]

2

2015-07-02T13:34:09.000Z

2015-09-28T09:07:52.000Z

Sea/adapter/couplings/ViewProviderCoupling.py

FRidh/Sea

b474e93a449570a9ba3b915c4d80f814feee2545

[ "BSD-3-Clause" ]

null

Sea/adapter/couplings/ViewProviderCoupling.py

FRidh/Sea

b474e93a449570a9ba3b915c4d80f814feee2545

[ "BSD-3-Clause" ]

1

2022-01-22T03:01:54.000Z

from ..base import ViewProviderBase class ViewProviderCoupling(ViewProviderBase): pass

15.5

45

0.806452

8

93

9.375

0.875

0

0.139785

93

5

46

18.6

0.9375

0

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true

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

5

037d948edbd58de72870e04b44f8339dd6ced670

933

py

Python

tests/integration/test_create_subscription.py

madedotcom/eventualpy

c046dc60ad32156d66d0b53cc8ee188778b3159a

[ "MIT" ]

2

2019-07-15T05:44:48.000Z

2021-05-01T09:52:54.000Z

tests/integration/test_create_subscription.py

madedotcom/eventualpy

c046dc60ad32156d66d0b53cc8ee188778b3159a

[ "MIT" ]

8

2019-07-21T10:39:55.000Z

2019-07-21T10:52:05.000Z

tests/integration/test_create_subscription.py

madedotcom/eventualpy

c046dc60ad32156d66d0b53cc8ee188778b3159a

[ "MIT" ]

null

import pytest from eventualpy import connect, Conflict @pytest.mark.asyncio async def test_create(factory): async with connect(factory.eventstore) as c: await c.create_subscription(factory.subscription, factory.stream) info = await factory.get_subscription_info() assert info.status == 200 @pytest.mark.asyncio async def test_create_twice(factory): async with connect(factory.eventstore) as c: await c.create_subscription(factory.subscription, factory.stream) with pytest.raises(Conflict): await c.create_subscription(factory.subscription, factory.stream) @pytest.mark.asyncio async def test_create_twice_dont_fail(factory): async with connect(factory.eventstore) as c: await c.create_subscription(factory.subscription, factory.stream) await c.create_subscription( factory.subscription, factory.stream, fail_if_exists=False )

32.172414

77

0.73955

114

933

5.912281

0.280702

0.281899

0.089021

0.178042

0.777448

0.725519

0.440653

0

0.003927

0.181136

933

28

78

33.321429

0.878272

0

0.47619

0

0.047619

1

0

false

0

0.095238

0

0.095238

0

null

1

0

1

0

1

0

null

0

5

037d95703a167fe951b058af6456b5befc0ec55d

4,733

py

Python

generate_Coarse_mask.py

jianpengz/MB-DCNN

5946fcc9f95d76f4ed807eb7b7487703cca317ed

[ "MIT" ]

27

2020-10-07T12:28:51.000Z

2022-03-08T07:22:56.000Z

generate_Coarse_mask.py

DLWK/MB-DCNN

17777be932a1435d22eab655f1c33fcd0a4b41e1

[ "MIT" ]

null

generate_Coarse_mask.py

DLWK/MB-DCNN

17777be932a1435d22eab655f1c33fcd0a4b41e1

[ "MIT" ]

15

2020-10-18T02:46:30.000Z

2022-01-24T12:40:05.000Z

import torch import cv2 import numpy as np import torch.backends.cudnn as cudnn import os from tqdm import tqdm from skimage import io from net.models import deeplabv3plus from dataset.my_datasets import MyGenDataSet from torch.utils import data def generate_mode_seg0(dataloader, model, path): for index, batch in tqdm(enumerate(dataloader)): image, name = batch image = image.cuda() # print(name) rot_90 = torch.rot90(image, 1, [2, 3]) rot_180 = torch.rot90(image, 2, [2, 3]) rot_270 = torch.rot90(image, 3, [2, 3]) hor_flip = torch.flip(image, [-1]) ver_flip = torch.flip(image, [-2]) image = torch.cat([image, rot_90, rot_180, rot_270, hor_flip, ver_flip], dim=0) model.eval() with torch.no_grad(): pred = model(image) pred = pred[0:1] + torch.rot90(pred[1:2], 3, [2, 3]) + torch.rot90(pred[2:3], 2, [2, 3]) + torch.rot90(pred[3:4], 1, [2, 3]) + torch.flip(pred[4:5], [-1]) + torch.flip(pred[5:6], [-2]) pred = torch.softmax(pred, dim=1).cpu().data.numpy() pred_arg = np.int16(np.argmax(pred[0], axis=0)) io.imsave(os.path.join(path, name[0]), np.int64(pred_arg) * 255) return True def generate_mode_seg1(dataloader, model, path): for index, batch in tqdm(enumerate(dataloader)): image_ori, image, name = batch image = image.cuda() # print(name) rot_90 = torch.rot90(image, 1, [2, 3]) rot_180 = torch.rot90(image, 2, [2, 3]) rot_270 = torch.rot90(image, 3, [2, 3]) hor_flip = torch.flip(image, [-1]) ver_flip = torch.flip(image, [-2]) image = torch.cat([image, rot_90, rot_180, rot_270, hor_flip, ver_flip], dim=0) model.eval() with torch.no_grad(): pred = model(image) pred = pred[0:1] + torch.rot90(pred[1:2], 3, [2, 3]) + torch.rot90(pred[2:3], 2, [2, 3]) + torch.rot90(pred[3:4], 1, [2, 3]) + torch.flip(pred[4:5], [-1]) + torch.flip(pred[5:6], [-2]) pred = torch.softmax(pred, dim=1).cpu().data.numpy() pred_arg = np.int16(np.argmax(pred[0], axis=0)) pred_arg = cv2.resize(pred_arg, (image_ori.shape[2], image_ori.shape[1]), interpolation=cv2.INTER_NEAREST) io.imsave(os.path.join(path, name[0]), np.int64(pred_arg) * 255) return True ########################### Load coarse segmentation network. cudnn.enabled = True model = deeplabv3plus(num_classes=2) model.cuda() model = torch.nn.DataParallel(model) pretrained_dict = torch.load('models/DR_CoarseSN/CoarseSN.pth') model.load_state_dict(pretrained_dict) model.eval() model.float() ########################### Coarse_masks for MaskCN #### Training class_p = 'Training' data_root = 'dataset/cls_data/'+class_p+'_Add_resize_crop_cls/' data_list = 'dataset/ISIC/'+class_p+'_Add_cls.txt' dataloader = data.DataLoader(MyGenDataSet(data_root, data_list, mode=0), batch_size=1, shuffle=False, num_workers=8, pin_memory=True) path = 'Coarse_masks/'+class_p+'_MaskCN/' if not os.path.isdir(path): os.makedirs(path) generate_mode_seg0(dataloader, model, path) #### Validation class_p = 'Validation' ### 'Testing' data_root = 'dataset/cls_data/'+class_p+'_resize_crop9_cls/' data_list = 'dataset/ISIC/'+class_p+'_crop9_cls.txt' dataloader = data.DataLoader(MyGenDataSet(data_root, data_list, mode=0), batch_size=1, shuffle=False, num_workers=8, pin_memory=True) path = 'Coarse_masks/'+class_p+'_MaskCN/' if not os.path.isdir(path): os.makedirs(path) generate_mode_seg0(dataloader, model, path) ########################### Coarse_masks for EnhancedSN #### Training class_p = 'Training' data_root = 'dataset/seg_data/'+class_p+'_resize_seg/' data_list = 'dataset/ISIC/'+class_p+'_seg.txt' dataloader = data.DataLoader(MyGenDataSet(data_root, data_list, mode=1), batch_size=1, shuffle=False, num_workers=8, pin_memory=True) path = 'Coarse_masks/'+class_p+'_EnhancedSN/' if not os.path.isdir(path): os.makedirs(path) generate_mode_seg1(dataloader, model, path) #### Validation class_p = 'Validation' ### 'Testing' data_root = 'dataset/seg_data/ISIC-2017_'+class_p+'_Data/' data_list = 'dataset/ISIC/'+class_p+'_seg.txt' dataloader = data.DataLoader(MyGenDataSet(data_root, data_list, mode=1), batch_size=1, shuffle=False, num_workers=8, pin_memory=True) path = 'Coarse_masks/'+class_p+'_EnhancedSN/' if not os.path.isdir(path): os.makedirs(path) generate_mode_seg1(dataloader, model, path)

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037e77e1a83f9529c6a9e898d188fdf450e749ec

153

py

Python

modules/ravestate_phrases_basic_en/__init__.py

ro-boy/ravestate

f67bbb378d327d9e29de21795770fd5e51141608

[ "MIT" ]

null

modules/ravestate_phrases_basic_en/__init__.py

ro-boy/ravestate

f67bbb378d327d9e29de21795770fd5e51141608

[ "MIT" ]

1

2018-12-07T09:56:14.000Z

modules/ravestate_phrases_basic_en/__init__.py

ro-boy/ravestate

f67bbb378d327d9e29de21795770fd5e51141608

[ "MIT" ]

1

2018-11-09T19:05:14.000Z

from ravestate_verbaliser import verbaliser from os.path import realpath, dirname, join verbaliser.add_folder(join(dirname(realpath(__file__)), "en"))

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py

Python

limix_qep/tool/test/test_heritability.py

Horta/limix-qep

b7f537396efb5cf0911f1870469eb02f2657a3b8

[ "MIT" ]

null

limix_qep/tool/test/test_heritability.py

Horta/limix-qep

b7f537396efb5cf0911f1870469eb02f2657a3b8

[ "MIT" ]

null

limix_qep/tool/test/test_heritability.py

Horta/limix-qep

b7f537396efb5cf0911f1870469eb02f2657a3b8

[ "MIT" ]

null

# import numpy as np # import unittest # from limix_qep.tool.heritability import estimate # from limix_qep.lik import Binomial # # class TestHeritability(unittest.TestCase): # def setUp(self): # pass # # def test_h2_bernoulli(self): # random = np.random.RandomState(981) # n = 500 # p = n+4 # # M = np.ones((n, 1)) * 0.4 # G = random.randint(3, size=(n, p)) # G = np.asarray(G, dtype=float) # G -= G.mean(axis=0) # G /= G.std(axis=0) # G /= np.sqrt(p) # # K = np.dot(G, G.T) # Kg = K / K.diagonal().mean() # K = 0.5*Kg + 0.5*np.eye(n) # K = K / K.diagonal().mean() # # z = random.multivariate_normal(M.ravel(), K) # y = np.zeros_like(z) # y[z>0] = 1. # # h2 = estimate(y, K=Kg, covariate=M)[0] # self.assertAlmostEqual(h2, 0.403163261934, places=5) # # # def test_h2_binomial(self): # # random = np.random.RandomState(981) # # ntrials = 1 # # n = 500 # # p = n+4 # # # # M = np.ones((n, 1)) * 0.4 # # G = random.randint(3, size=(n, p)) # # G = np.asarray(G, dtype=float) # # G -= G.mean(axis=0) # # G /= G.std(axis=0) # # G /= np.sqrt(p) # # # # K = np.dot(G, G.T) # # Kg = K / K.diagonal().mean() # # K = 0.5*Kg + 0.5*np.eye(n) # # K = K / K.diagonal().mean() # # # # z = random.multivariate_normal(M.ravel(), K) # # y = np.zeros_like(z) # # y[z>0] = 1. # # # # outcome = Binomial(ntrials, n) # # import logging # # logging.basicConfig(level=logging.DEBUG) # # h2 = estimate(y, K=Kg, covariate=M, outcome_type=outcome)[0] # # self.assertAlmostEqual(h2, 0.403163261934) # # # def test_h2_binomial_fast(self): # # random = np.random.RandomState(981) # # ntrials = 1 # # n = 50 # # p = n+4 # # # # M = np.ones((n, 1)) * 0.4 # # G = random.randint(3, size=(n, p)) # # G = np.asarray(G, dtype=float) # # G -= G.mean(axis=0) # # G /= G.std(axis=0) # # G /= np.sqrt(p) # # # # K = np.dot(G, G.T) # # Kg = K / K.diagonal().mean() # # K = 0.5*Kg + 0.5*np.eye(n) # # K = K / K.diagonal().mean() # # # # z = random.multivariate_normal(M.ravel(), K) # # y = np.zeros_like(z) # # y[z>0] = 1. # # # # outcome = Binomial(ntrials, n) # # # import logging # # # logging.basicConfig(level=logging.DEBUG) # # h2 = estimate(y, K=Kg, covariate=M, outcome_type=outcome)[0] # # print(h2) # # self.assertAlmostEqual(h2, 0.403163261934) # # # if __name__ == '__main__': # unittest.main()

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0393c3f9f558866e256e03754f0761beaa266df6

138

py

Python

test.py

soumya997/BinodTharu-cli

e97a13a08e4eea409297015b329a74dd0ebdfa0b

[ "MIT" ]

null

test.py

soumya997/BinodTharu-cli

e97a13a08e4eea409297015b329a74dd0ebdfa0b

[ "MIT" ]

null

test.py

soumya997/BinodTharu-cli

e97a13a08e4eea409297015b329a74dd0ebdfa0b

[ "MIT" ]

null

from binodtharu.binodfile import binodfunc binodfunc('https://drive.google.com/file/d/15CJ-dulqm-piGea1kRpWZZXS3-G5-ccH/view?usp=sharing')

69

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138

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5

03a54e078ee10c223352a831c9925efe62fafff9

74

py

Python

keyboard/__init__.py

jameshi16/TypeSound

238d019ed22ed5b41df533ac5ec43cbf28428fa6

[ "MIT" ]

null

keyboard/__init__.py

jameshi16/TypeSound

238d019ed22ed5b41df533ac5ec43cbf28428fa6

[ "MIT" ]

null

keyboard/__init__.py

jameshi16/TypeSound

238d019ed22ed5b41df533ac5ec43cbf28428fa6

[ "MIT" ]

null

from .IBaseKeyboard import IBaseKeyboard from .XKeyboard import XKeyboard

24.666667

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8

74

8

0.5

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74

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0

null

0

1

0

1

0

1

0

5

03efddcb59daaa7da0b652eb7be907b143913f2f

388

py

Python

Exercise_2_7.py

kushrami/Python-Crash-Course-book-Excersice

7093181940a90d9f4bab5775ef56f57963450393

[ "Apache-2.0" ]

null

Exercise_2_7.py

kushrami/Python-Crash-Course-book-Excersice

7093181940a90d9f4bab5775ef56f57963450393

[ "Apache-2.0" ]

null

Exercise_2_7.py

kushrami/Python-Crash-Course-book-Excersice

7093181940a90d9f4bab5775ef56f57963450393

[ "Apache-2.0" ]

null

#Strinping Names: Person_name = " Chandler Bing " print("Person Name with tab space :\t"+Person_name) print("Person Name in new line :\n"+Person_name) print("Person Name with space removed from left side :"+Person_name.lstrip()) print("Person Name with space removed from right side :"+Person_name.rstrip()) print("Person Name with space removed from both sides:"+Person_name.strip())

38.8

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388

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null

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null

0

1

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5

03f3472d33f35fa02a1c8ee9893d2e0732388575

131

py

Python

webapi_active_query_builder/apis/__init__.py

ActiveDbSoft/webapi-active-query-builder-python

81d65f454617d913d8d3b707283a42830c08192d

[ "Apache-2.0" ]

2

2018-11-01T18:03:04.000Z

2020-03-21T17:34:51.000Z

webapi_active_query_builder/apis/__init__.py

ActiveDbSoft/webapi-active-query-builder-python

81d65f454617d913d8d3b707283a42830c08192d

[ "Apache-2.0" ]

null

webapi_active_query_builder/apis/__init__.py

ActiveDbSoft/webapi-active-query-builder-python

81d65f454617d913d8d3b707283a42830c08192d

[ "Apache-2.0" ]

null

from __future__ import absolute_import # import apis into api package from .active_query_builder_api import ActiveQueryBuilderApi

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1

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1

0

1

0

5

208f549801b9ea9d13a3d6c72655e646992113f3

97

py

Python

8KYU/get_size.py

yaznasivasai/python_codewars

25493591dde4649dc9c1ec3bece8191a3bed6818

[ "MIT" ]

4

2021-07-17T22:48:03.000Z

2022-03-25T14:10:58.000Z

8KYU/get_size.py

yaznasivasai/python_codewars

25493591dde4649dc9c1ec3bece8191a3bed6818

[ "MIT" ]

null

8KYU/get_size.py

yaznasivasai/python_codewars

25493591dde4649dc9c1ec3bece8191a3bed6818

[ "MIT" ]

3

2021-06-14T14:18:16.000Z

2022-03-16T06:02:02.000Z

def get_size(w: int, h: int, d: int) -> list: return [2 * (w * h + h * d + w * d), w * h * d]

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0

1

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5

20927f74a1806ec02e5c90f9dec13e28df1552a9

2,203

py

Python

tests/controllers/test_user.py

leduy8/gotit-final-project

02f2cabbaef0f9f0542aa3efc9f835774beec948

[ "MIT" ]

null

tests/controllers/test_user.py

leduy8/gotit-final-project

02f2cabbaef0f9f0542aa3efc9f835774beec948

[ "MIT" ]

null

tests/controllers/test_user.py

leduy8/gotit-final-project

02f2cabbaef0f9f0542aa3efc9f835774beec948

[ "MIT" ]

null

from tests.data_mocker import create_dummy_email, create_dummy_user class TestRegisterUser: def test_success_register_user(self, client): response = client.post( "/users", json={"email": "duy1234@gmail.com", "password": "123456"}, content_type="application/json", ) assert response.status_code == 200 assert type(response.data) == bytes assert len(response.data.decode("utf-8").split(".")) == 3 def test_fail_register_user_with_wrong_email_format(self, client): response = client.post( "/users", json={"email": "duy123gmail.com", "password": "123456"}, content_type="application/json", ) assert response.status_code == 400 def test_fail_register_user_with_missing_email(self, client): response = client.post( "/users", json={"password": "123456"}, content_type="application/json" ) assert response.status_code == 400 def test_fail_register_user_with_missing_passsword(self, client): response = client.post( "/users", json={"email": "duy123@gmail.com"}, content_type="application/json", ) assert response.status_code == 400 def test_fail_register_user_with_invalid_email_length(self, client): response = client.post( "/users", json={"email": create_dummy_email(), "password": "123456"}, content_type="application/json", ) assert response.status_code == 400 def test_fail_register_user_with_invalid_passsword_length(self, client): response = client.post( "/users", json={"email": "duy123@gmail.com", "password": "12345"}, content_type="application/json", ) assert response.status_code == 400 def test_fail_register_user_that_has_already_exists(self, client): create_dummy_user() response = client.post( "/users", json={"email": "duy123@gmail.com", "password": "123456"}, content_type="application/json", ) assert response.status_code == 400

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1

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null

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1

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5

209907ad867712ce4fa1b013f027fa2ce8d00677

143

py

Python

demoproject/demoproject/templatetags/demo_tags.py

alvnary18/django-nvd3

4b7dffb1107b8202698212b99c26d1d0097afd1d

[ "MIT" ]

302

2015-01-06T14:38:22.000Z

2022-01-11T15:28:07.000Z

demoproject/demoproject/templatetags/demo_tags.py

alvnary18/django-nvd3

4b7dffb1107b8202698212b99c26d1d0097afd1d

[ "MIT" ]

63

2015-01-03T14:39:29.000Z

2021-04-19T09:29:15.000Z

demoproject/demoproject/templatetags/demo_tags.py

alvnary18/django-nvd3

4b7dffb1107b8202698212b99c26d1d0097afd1d

[ "MIT" ]

104

2015-01-07T21:40:53.000Z

2021-02-22T08:21:02.000Z

#from django import template from django.template.defaultfilters import register @register.filter def demo(value): return value + 'demo'

17.875

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5

45762386579a9fe9ba0680fa6aca8df172411d28

201

py

Python

pd_utils/optimize/typing.py

nickderobertis/pd-utils

cb3c96de212830c6b837aa29b50ab1a348abfb9a

[ "MIT" ]

null

pd_utils/optimize/typing.py

nickderobertis/pd-utils

cb3c96de212830c6b837aa29b50ab1a348abfb9a

[ "MIT" ]

23

2020-01-25T21:07:48.000Z

2021-12-20T00:10:14.000Z

pd_utils/optimize/typing.py

nickderobertis/pd-utils

cb3c96de212830c6b837aa29b50ab1a348abfb9a

[ "MIT" ]

1

2021-08-09T11:11:49.000Z

from typing import Union, Tuple, Dict import pandas as pd DfOrSeries = Union[pd.DataFrame, pd.Series] PdDTypeQuadTuple = Tuple[DfOrSeries, DfOrSeries, DfOrSeries, DfOrSeries] StrDict = Dict[str, str]

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null

0

1

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5

4589bf32eb09304035bc303cdce40962463f8713

70

py

Python

Chapter 01/Chap01_Example1.21.py

bpbpublications/Programming-Techniques-using-Python

49b785f37e95a3aad1d36cef51e219ac56e5e9f0

[ "MIT" ]

null

Chapter 01/Chap01_Example1.21.py

bpbpublications/Programming-Techniques-using-Python

49b785f37e95a3aad1d36cef51e219ac56e5e9f0

[ "MIT" ]

null

Chapter 01/Chap01_Example1.21.py

bpbpublications/Programming-Techniques-using-Python

49b785f37e95a3aad1d36cef51e219ac56e5e9f0

[ "MIT" ]

null

x,y,z = 3,4,5 print('The ratio of x,y and z are ', x,y,z,sep = ':')

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45ccb19e38b29bf9a6e75d23a4444da2a7621d8c

904

py

Python

libspn_keras/config/accumulator_initializer.py

twebr/libspn-keras

b5f107899795634f011b0e0bfedce182c0e87568

[ "MIT" ]

45

2020-02-23T22:01:13.000Z

2021-09-10T19:24:40.000Z

libspn_keras/config/accumulator_initializer.py

twebr/libspn-keras

b5f107899795634f011b0e0bfedce182c0e87568

[ "MIT" ]

16

2020-03-12T06:12:44.000Z

2022-01-19T19:44:33.000Z

libspn_keras/config/accumulator_initializer.py

twebr/libspn-keras

b5f107899795634f011b0e0bfedce182c0e87568

[ "MIT" ]

9

2020-02-24T13:06:16.000Z

2021-11-09T22:59:32.000Z

from tensorflow.keras.initializers import Initializer from libspn_keras.initializers.dirichlet import Dirichlet _DEFAULT_ACCUMULATOR_INITIALIZER = Dirichlet(alpha=1.0, axis=-2) def set_default_accumulator_initializer(initializer: Initializer) -> None: """ Configure the default accumulator that will be used for sum accumulators. Args: initializer: The initializer which will be used by default for sum accumulators. """ global _DEFAULT_ACCUMULATOR_INITIALIZER _DEFAULT_ACCUMULATOR_INITIALIZER = initializer def get_default_accumulator_initializer() -> Initializer: """ Obtain default accumulator initializer. Returns: The default accumulator initializer that will be use in sum accumulators, unless specified explicitly at initialization. """ global _DEFAULT_ACCUMULATOR_INITIALIZER return _DEFAULT_ACCUMULATOR_INITIALIZER

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17

py

Python

another_password_file.py

travislloyd22/travis-test-repository

5cfa5d4ee9ea53c9d3bac65ec3f736baeb4adb9e

[ "MIT" ]

null

another_password_file.py

travislloyd22/travis-test-repository

5cfa5d4ee9ea53c9d3bac65ec3f736baeb4adb9e

[ "MIT" ]

null

another_password_file.py

travislloyd22/travis-test-repository

5cfa5d4ee9ea53c9d3bac65ec3f736baeb4adb9e

[ "MIT" ]

null

# More passwords

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afdd2c9ce5c8db44f805a51890892d9160d574dc

101

py

Python

landingpagewebsite/telebot/admin.py

Oorzhakau/landingpagewebsite

4fab7537ec94acac74735d7d152ce825f6e6e546

[ "MIT" ]

null

landingpagewebsite/telebot/admin.py

Oorzhakau/landingpagewebsite

4fab7537ec94acac74735d7d152ce825f6e6e546

[ "MIT" ]

null

landingpagewebsite/telebot/admin.py

Oorzhakau/landingpagewebsite

4fab7537ec94acac74735d7d152ce825f6e6e546

[ "MIT" ]

null

from django.contrib import admin from .models import TeleSettings admin.site.register(TeleSettings)

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py

Python

clean.py

TifloDev/SoundRTS

209695ed80b8746facdcb35f446f0f855c48da84

[ "BSD-3-Clause" ]

3

2021-01-10T23:07:09.000Z

2021-02-02T17:59:11.000Z

clean.py

TifloDev/SoundRTS

209695ed80b8746facdcb35f446f0f855c48da84

[ "BSD-3-Clause" ]

9

2021-01-28T10:07:54.000Z

2021-07-18T15:10:57.000Z

clean.py

TifloDev/soundrts

209695ed80b8746facdcb35f446f0f855c48da84

[ "BSD-3-Clause" ]

null

import shutil def clean(): print("Performing clean...") print('Removing "doc" directory...') shutil.rmtree("./doc") print("Clean done.")

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py

Python

python/testData/refactoring/move/staleFromImportRemovedWhenNewImportCombinedWithExistingImport/after/src/b.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/refactoring/move/staleFromImportRemovedWhenNewImportCombinedWithExistingImport/after/src/b.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/refactoring/move/staleFromImportRemovedWhenNewImportCombinedWithExistingImport/after/src/b.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

class B: pass class A: pass

6.166667

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b310570fd5b31b0457f353a50162de180ce4c123

62

py

Python

almafi.py

Chemscribbler/swiss_comparison

c3634d07953a7fbac4e10212b06e087c1cfc6afa

[ "MIT" ]

null

almafi.py

Chemscribbler/swiss_comparison

c3634d07953a7fbac4e10212b06e087c1cfc6afa

[ "MIT" ]

null

almafi.py

Chemscribbler/swiss_comparison

c3634d07953a7fbac4e10212b06e087c1cfc6afa

[ "MIT" ]

null

import tournament import utility_functions import playermodule

20.666667

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b33f4e79e5a75ecbc37d11580b640346dbceb2b0

30

py

Python

py/desisurvey/_version.py

changhoonhahn/desisurvey

07c30846b8b6dc4b916dd0ea26831748b7deb0a7

[ "BSD-3-Clause" ]

null

py/desisurvey/_version.py

changhoonhahn/desisurvey

07c30846b8b6dc4b916dd0ea26831748b7deb0a7

[ "BSD-3-Clause" ]

null

py/desisurvey/_version.py

changhoonhahn/desisurvey

07c30846b8b6dc4b916dd0ea26831748b7deb0a7

[ "BSD-3-Clause" ]

null

__version__ = '0.12.1.dev843'

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null

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b344f081ad11cbc72cd1f7bb0df09d87de151db3

138

py

Python

src/pymlff/__init__.py

utf/pymlff

140115b31d2e111cafc74480fa395c879fc547df

[ "MIT" ]

2

2022-03-25T22:30:11.000Z

2022-03-26T01:29:53.000Z

src/pymlff/__init__.py

utf/pymlff

140115b31d2e111cafc74480fa395c879fc547df

[ "MIT" ]

null

src/pymlff/__init__.py

utf/pymlff

140115b31d2e111cafc74480fa395c879fc547df

[ "MIT" ]

null

"""pymlff is a package for reading and writing VASP ML_AB files.""" from pymlff._version import __version__ from pymlff.core import MLAB

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2ff94eb2baa7af79b03005dc834340213c9e0ad6

6,399

py

Python

code/network/segmentation/utils.py

kaushal-py/seg-degan

a74c506d5b1b67901a7e0663fba02ddb44f762a6

[ "MIT" ]

4

2020-11-03T19:47:26.000Z

2021-07-14T07:01:21.000Z

code/network/segmentation/utils.py

kaushal-py/seg-degan

a74c506d5b1b67901a7e0663fba02ddb44f762a6

[ "MIT" ]

null

code/network/segmentation/utils.py

kaushal-py/seg-degan

a74c506d5b1b67901a7e0663fba02ddb44f762a6

[ "MIT" ]

null

import torch import torch.nn as nn import numpy as np import torch.nn.functional as F from collections import OrderedDict import torch from torch import nn from torch.nn import functional as F class _SimpleSegmentationModel(nn.Module): def __init__(self, backbone, classifier, aux_classifier=None): super(_SimpleSegmentationModel, self).__init__() self.backbone = backbone self.classifier = classifier self.aux_classifier = aux_classifier def forward(self, x): input_shape = x.shape[-2:] features = self.backbone(x) x = features["out"] #print(x.shape) x = self.classifier(x) x = F.interpolate(x, size=input_shape, mode='bilinear', align_corners=False) return x class conv2DBatchNormRelu(nn.Module): def __init__( self, in_channels, n_filters, k_size, stride, padding, bias=True, dilation=1, is_batchnorm=True, dropout=0.0, ): super(conv2DBatchNormRelu, self).__init__() conv_mod = nn.Conv2d( int(in_channels), int(n_filters), kernel_size=k_size, padding=padding, stride=stride, bias=bias, dilation=dilation, ) if is_batchnorm: self.cbr_unit = nn.Sequential( conv_mod, nn.BatchNorm2d(int(n_filters)), nn.ReLU(inplace=True) ) else: self.cbr_unit = nn.Sequential(conv_mod, nn.ReLU(inplace=True)) def forward(self, inputs): outputs = self.cbr_unit(inputs) return outputs class segnetDown2(nn.Module): def __init__(self, in_size, out_size): super(segnetDown2, self).__init__() self.conv1 = conv2DBatchNormRelu(in_size, out_size, 3, 1, 1) self.conv2 = conv2DBatchNormRelu(out_size, out_size, 3, 1, 1) self.maxpool_with_argmax = nn.MaxPool2d(2, 2, return_indices=True) def forward(self, inputs): outputs = self.conv1(inputs) outputs = self.conv2(outputs) unpooled_shape = outputs.size() outputs, indices = self.maxpool_with_argmax(outputs) return outputs, indices, unpooled_shape class segnetDown3(nn.Module): def __init__(self, in_size, out_size): super(segnetDown3, self).__init__() self.conv1 = conv2DBatchNormRelu(in_size, out_size, 3, 1, 1) self.conv2 = conv2DBatchNormRelu(out_size, out_size, 3, 1, 1) self.conv3 = conv2DBatchNormRelu(out_size, out_size, 3, 1, 1) self.maxpool_with_argmax = nn.MaxPool2d(2, 2, return_indices=True) def forward(self, inputs): outputs = self.conv1(inputs) outputs = self.conv2(outputs) outputs = self.conv3(outputs) unpooled_shape = outputs.size() outputs, indices = self.maxpool_with_argmax(outputs) return outputs, indices, unpooled_shape class segnetDown3(nn.Module): def __init__(self, in_size, out_size): super(segnetDown3, self).__init__() self.conv1 = conv2DBatchNormRelu(in_size, out_size, 3, 1, 1) self.conv2 = conv2DBatchNormRelu(out_size, out_size, 3, 1, 1) self.conv3 = conv2DBatchNormRelu(out_size, out_size, 3, 1, 1) self.maxpool_with_argmax = nn.MaxPool2d(2, 2, return_indices=True) def forward(self, inputs): outputs = self.conv1(inputs) outputs = self.conv2(outputs) outputs = self.conv3(outputs) unpooled_shape = outputs.size() outputs, indices = self.maxpool_with_argmax(outputs) return outputs, indices, unpooled_shape class segnetDown4(nn.Module): def __init__(self, in_size, out_size): super(segnetDown4, self).__init__() self.conv1 = conv2DBatchNormRelu(in_size, out_size, 3, 1, 1) self.conv2 = conv2DBatchNormRelu(out_size, out_size, 3, 1, 1) self.conv3 = conv2DBatchNormRelu(out_size, out_size, 3, 1, 1) self.conv4 = conv2DBatchNormRelu(out_size, out_size, 3, 1, 1) self.maxpool_with_argmax = nn.MaxPool2d(2, 2, return_indices=True) def forward(self, inputs): outputs = self.conv1(inputs) outputs = self.conv2(outputs) outputs = self.conv3(outputs) outputs = self.conv4(outputs) unpooled_shape = outputs.size() outputs, indices = self.maxpool_with_argmax(outputs) return outputs, indices, unpooled_shape class segnetUp2(nn.Module): def __init__(self, in_size, out_size, dropout=0.0): super(segnetUp2, self).__init__() self.unpool = nn.MaxUnpool2d(2, 2) self.conv1 = conv2DBatchNormRelu(in_size, in_size, 3, 1, 1) self.conv2 = conv2DBatchNormRelu(in_size, out_size, 3, 1, 1) def forward(self, inputs, indices, output_shape): outputs = self.unpool(input=inputs, indices=indices, output_size=output_shape) outputs = self.conv1(outputs) outputs = self.conv2(outputs) return outputs class segnetUp3(nn.Module): def __init__(self, in_size, out_size): super(segnetUp3, self).__init__() self.unpool = nn.MaxUnpool2d(2, 2) self.conv1 = conv2DBatchNormRelu(in_size, in_size, 3, 1, 1) self.conv2 = conv2DBatchNormRelu(in_size, in_size, 3, 1, 1) self.conv3 = conv2DBatchNormRelu(in_size, out_size, 3, 1, 1) def forward(self, inputs, indices, output_shape): outputs = self.unpool(input=inputs, indices=indices, output_size=output_shape) outputs = self.conv1(outputs) outputs = self.conv2(outputs) outputs = self.conv3(outputs) return outputs class segnetUp4(nn.Module): def __init__(self, in_size, out_size): super(segnetUp4, self).__init__() self.unpool = nn.MaxUnpool2d(2, 2) self.conv1 = conv2DBatchNormRelu(in_size, in_size, 3, 1, 1) self.conv2 = conv2DBatchNormRelu(in_size, in_size, 3, 1, 1) self.conv3 = conv2DBatchNormRelu(in_size, in_size, 3, 1, 1) self.conv4 = conv2DBatchNormRelu(in_size, out_size, 3, 1, 1) def forward(self, inputs, indices, output_shape): outputs = self.unpool(input=inputs, indices=indices, output_size=output_shape) outputs = self.conv1(outputs) outputs = self.conv2(outputs) outputs = self.conv3(outputs) outputs = self.conv4(outputs) return outputs

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null

0

1

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null

0

5

6406241a874ce51c9ade314bc43393d766427a72

178

py

Python

chapter7/exercises/teletypePrinter.py

munnep/begin_to_code_with_python

3ef14d90785526b6b26d262a7627eee73791d7d0

[ "MIT" ]

null

chapter7/exercises/teletypePrinter.py

munnep/begin_to_code_with_python

3ef14d90785526b6b26d262a7627eee73791d7d0

[ "MIT" ]

null

chapter7/exercises/teletypePrinter.py

munnep/begin_to_code_with_python

3ef14d90785526b6b26d262a7627eee73791d7d0

[ "MIT" ]

null

import time def teletype_print(text,delay=0.2): for ch in text: # print(ch,end='') print(ch,end='') time.sleep(delay) teletype_print('Hello world')

17.8

35

0.601124

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0.014925

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178

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0.333333

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1

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1

0

null

0

1

0

5

64226836f2d5fa479437685144fd00e2da06e951

1,376

py

Python

common/test_input_validation.py

EmilyMazo/exercise-toes

e0704bfb7be89b7917efedccb5c07fa5d2d26815

[ "MIT" ]

null

common/test_input_validation.py

EmilyMazo/exercise-toes

e0704bfb7be89b7917efedccb5c07fa5d2d26815

[ "MIT" ]

null

common/test_input_validation.py

EmilyMazo/exercise-toes

e0704bfb7be89b7917efedccb5c07fa5d2d26815

[ "MIT" ]

null

from common.input_validation import ( extract_city_state, extract_name, extract_personal_reason, extract_phone_number, extract_postal_code, ) def test_extract_phone_number(): assert extract_phone_number('510501622') == None assert extract_phone_number('5105016227') == '15105016227' assert extract_phone_number('15105016227') == '15105016227' assert extract_phone_number('+15105016227') == '15105016227' assert extract_phone_number('My number is 510 501 6227') == '15105016227' assert extract_phone_number('My number is (510) 501-6227.') == '15105016227' def test_extract_postal_code(): assert extract_postal_code(' 02145.') == '02145' assert extract_postal_code(' 0215.') == None def test_extract_city_state(): assert extract_city_state('kermit, west virginia') == ('kermit', 'WV') assert extract_city_state('Kermit, West Virginia') == ('Kermit', 'WV') assert extract_city_state('Kermit, WV') == ('Kermit', 'WV') assert extract_city_state('Kermit WV') == ('Kermit', 'WV') assert extract_city_state('kermit wv') == ('kermit', 'WV') assert extract_city_state('Charlestown Virginia') == ('Charlestown', 'VA') assert extract_city_state('Charlestown VA') == ('Charlestown', 'VA') assert extract_city_state('urrr') == (None, None) assert extract_city_state('Reno, Nevad') == (None, None)

41.69697

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5.569697

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null

0

1

0

1

0

5

ff29ad60d5be92c2c5ff4705c11d8487efb71b19

47

py

Python

helper.py

hmg8je/cs3240-labdemo

2ea368d28b99d47742aafb2c9997237b19d0dd30

[ "MIT" ]

null

helper.py

hmg8je/cs3240-labdemo

2ea368d28b99d47742aafb2c9997237b19d0dd30

[ "MIT" ]

null

helper.py

hmg8je/cs3240-labdemo

2ea368d28b99d47742aafb2c9997237b19d0dd30

[ "MIT" ]

null

from hello import greeting greeting("Hello")

9.4

26

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47

4

27

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0.9

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null

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5

ff34814974a8908569c27134e6685d33a5def198

205

py

Python

poseidon/ui/mobile/android/__init__.py

peterkang2001/Poseidon

cfafc01a1f69210dbfd95a0c62e06269eb599034

[ "Apache-2.0" ]

2

2019-12-27T09:14:38.000Z

2019-12-27T09:16:29.000Z

poseidon/ui/mobile/ios/__init__.py

CodeMonkey4Fun/Poseidon

cfafc01a1f69210dbfd95a0c62e06269eb599034

[ "Apache-2.0" ]

2

2021-03-31T20:06:21.000Z

2021-12-13T20:48:16.000Z

poseidon/ui/mobile/ios/__init__.py

peterkang2001/Poseidon

cfafc01a1f69210dbfd95a0c62e06269eb599034

[ "Apache-2.0" ]

1

2020-11-13T07:37:01.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- """ Author: kangliang date: 2019-05-22 """ import pytest from poseidon.base.Env import Env from poseidon.base.Frequency import Frequency

17.083333

45

0.643902

27

205

4.888889

0.703704

0.181818

0.242424

0

0.05625

0.219512

205

11

46

18.636364

0.76875

0.443902

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ff5bbb9331c7961260ed21763dc6de46284bf39a

53

py

Python

django_auto_mutations/auto_mutation.py

jsep/djgango-auto-mutations

6ad11f1443116c4c7f4bbf2c02d79bba0cc348af

[ "MIT" ]

2

2018-01-28T00:48:20.000Z

2018-05-01T22:28:55.000Z

django_auto_mutations/auto_mutation.py

jsep/djgango-auto-mutations

6ad11f1443116c4c7f4bbf2c02d79bba0cc348af

[ "MIT" ]

3

2020-02-11T21:47:26.000Z

2021-06-10T18:24:54.000Z

django_auto_mutations/auto_mutation.py

jsep/djgango-auto-mutations

6ad11f1443116c4c7f4bbf2c02d79bba0cc348af

[ "MIT" ]

null

class AutoMutation: def test(self): pass

13.25

19

0.603774

6

53

5.333333

1

0

0.320755

53

3

20

17.666667

0.888889

0

1

0.333333

false

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

441d7f1ab786174e4852adfcf26384e2f05768d4

227

py

Python

test/test_generators.py

codeclimate-testing/falcon

c2d0b9da4d4cffd39cd489ffa886ee745d06f063

[ "Apache-2.0" ]

115

2015-01-18T13:28:05.000Z

2022-03-01T23:45:44.000Z

test/test_generators.py

codeclimate-testing/falcon

c2d0b9da4d4cffd39cd489ffa886ee745d06f063

[ "Apache-2.0" ]

null

test/test_generators.py

codeclimate-testing/falcon

c2d0b9da4d4cffd39cd489ffa886ee745d06f063

[ "Apache-2.0" ]

8

2015-02-12T04:08:42.000Z

2018-09-11T20:55:29.000Z

from testing_helpers import wrap @wrap def count_threshold_generator(limit, threshold): return sum(item > threshold for item in xrange(limit)) #def test_count_threshold_generator(): # count_threshold_generator(1000,490)

25.222222

56

0.801762

31

227

5.612903

0.612903

0.241379

0.396552

0

0.035

0.118943

227

9

57

25.222222

0.835

0.325991

0

1

0.25

false

0

0.25

0.75

0

null

1

0

1

0

null

0

1

0

1

0

5

444350d6b0932c1deee08e34bf150e233cddc62e

31

py

Python

pyblaze/utils/__init__.py

Greenroom-Robotics/pyblaze

e45e27fbd400b6ae2365ad2347165c7b5154ac51

[ "MIT" ]

20

2020-03-29T08:43:15.000Z

2021-12-17T21:38:17.000Z

pyblaze/utils/__init__.py

borchero/bxtorch

8d01568c8ee9fc05f5b3c84ca3ec68ea74eef9eb

[ "MIT" ]

4

2020-10-27T20:43:40.000Z

2021-04-29T12:19:39.000Z

pyblaze/utils/__init__.py

borchero/bxtorch

8d01568c8ee9fc05f5b3c84ca3ec68ea74eef9eb

[ "MIT" ]

2

2020-08-16T18:10:49.000Z

2021-03-31T23:17:28.000Z

from .stdio import ProgressBar

15.5

30

0.83871

4

31

6.5

1

0

0.129032

31

1

31

0.962963

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

92440fc828cba2ae12e70908f4c647a3a0368039

1,562

py

Python

tests/test_kindle_to_md.py

mikethicke/kindletomd

16094b8c06c3621a93525f8e3799aafd9d3a73fd

[ "MIT" ]

null

tests/test_kindle_to_md.py

mikethicke/kindletomd

16094b8c06c3621a93525f8e3799aafd9d3a73fd

[ "MIT" ]

null

tests/test_kindle_to_md.py

mikethicke/kindletomd

16094b8c06c3621a93525f8e3799aafd9d3a73fd

[ "MIT" ]

null

""" Tests for kindle_to_md.py | kindle_to_md(). """ import pytest from kindle_to_md import kindle_to_md from kindle_to_md import MisformattedKindleData @pytest.mark.usefixtures( 'test_data' ) class TestKindleToMd : def test_parse_highlights_with_notes_section( self ) : markdown = kindle_to_md( self.test_data['good_book'], True ) assert( isinstance( markdown, str ) ) assert( markdown.startswith( "# A Book (With Parentheses)\n\nAuthors: An Author, Another Author, and Third Author" ) ) assert( '## Highlights with Notes' in markdown ) assert( '## All Highlights' in markdown ) def test_parse_highlights_without_notes_section( self ) : markdown = kindle_to_md( self.test_data['good_book'], False ) assert( isinstance( markdown, str ) ) assert( markdown.startswith( "# A Book (With Parentheses)\n\nAuthors: An Author, Another Author, and Third Author" ) ) assert( '## Highlights with Notes' not in markdown ) assert( '## All Highlights' in markdown ) def test_missing_title( self ) : with pytest.raises( MisformattedKindleData ) : markdown = kindle_to_md( self.test_data['missing_title'] ) def test_missing_authors( self ) : with pytest.raises( MisformattedKindleData ) : markdown = kindle_to_md( self.test_data['missing_authors'] ) def test_missing_highlights( self ) : with pytest.raises( MisformattedKindleData ) : markdown = kindle_to_md( self.test_data['missing_highlights'] )

41.105263

126

0.681818

185

1,562

5.502703

0.264865

0.078585

0.098232

0.088409

0.743615

0.704322

0.613949

0

0.220871

1,562

37

127

42.216216

0.836483

0.027529

0

0.346154

0

0.212442

0.031767

0

0.307692

1

0.192308

false

0

0.115385

0

0.346154

0

null

0

1

0

null

0

5

928e3c9e93dfcb621ddcc25d929b086de2460c21

85

py

Python

src/tblink_rpc/generators/systemverilog.py

tblink-rpc/pytblink-rpc

fb3a4d658942107a5882280f082c91d2e3396a35

[ "Apache-2.0" ]

2

2022-03-30T11:57:57.000Z

2022-03-30T12:31:36.000Z

src/tblink_rpc/generators/systemverilog.py

fvutils/pytblink

7e62355927f8d9558c0b3f95e9eaaa509468131b

[ "Apache-2.0" ]

null

src/tblink_rpc/generators/systemverilog.py

fvutils/pytblink

7e62355927f8d9558c0b3f95e9eaaa509468131b

[ "Apache-2.0" ]

null

''' Created on Mar 13, 2021 @author: mballance ''' print("SystemVerilog generator")

12.142857

32

0.705882

10

85

6

1

0

0.082192

0.141176

85

7

32

12.142857

0.739726

0.505882

0

0.657143

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

92b8abaff82a03da78ccc10e8ba65290b4b522bb

74

py

Python

feeds/views.py

KwabenaYeboah/photoshare

090f13a2dd9ac9f9d41a73f943d301d6a32323b8

[ "MIT" ]

3

2021-11-20T08:03:18.000Z

2021-11-25T15:45:27.000Z

feeds/views.py

KwabenaYeboah/photoshare

090f13a2dd9ac9f9d41a73f943d301d6a32323b8

[ "MIT" ]

null

feeds/views.py

KwabenaYeboah/photoshare

090f13a2dd9ac9f9d41a73f943d301d6a32323b8

[ "MIT" ]

null

from django.shortcuts import render from feeds.utils import create_feed

14.8

35

0.837838

11

74

5.545455

0.818182

0

0.135135

74

4

36

18.5

0.953125

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

2b86f08855413367a47a388d31e6002162a78032

1,679

py

Python

tests/example.py

philips-software/random_forest

5cbc95aa57ac33260720afd3fc779e7d71b5658c

[ "MIT" ]

2

2020-01-09T23:26:30.000Z

2021-01-27T18:34:15.000Z

tests/example.py

Charterhouse/random_forest

b842f08fee1054dbff78b6fb3afd4006a7f14a6d

[ "MIT" ]

null

tests/example.py

Charterhouse/random_forest

b842f08fee1054dbff78b6fb3afd4006a7f14a6d

[ "MIT" ]

2

2020-03-03T18:30:14.000Z

2021-09-06T13:55:06.000Z

from src.dataset import ObliviousDataset, Sample from src.secint import secint as s def sample(ins, out): return Sample([s(i) for i in ins], s(out)) binary_samples = ObliviousDataset.create( sample([1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1], 0), sample([1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1], 1), sample([1, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0], 0), sample([1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], 1), sample([1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0], 0), sample([1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1], 1), sample([1, 1, 0, 1, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0], 1), sample([1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0], 1), sample([1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0], 1), sample([1, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0], 0), sample([1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0], 1), sample([1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1], 0), sample([1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0], 1), sample([1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0], 1) ) continuous_samples = ObliviousDataset.create( sample([1, 1, 1, 2], 1), sample([1, 1, 1, 3], 1), sample([1, 1, 1, 4], 1), sample([1, 1, 3, 1], 1), sample([1, 1, 3, 2], 1), sample([1, 1, 3, 3], 1), sample([1, 1, 3, 4], 1), sample([1, 1, 3, 5], 1), sample([1, 1, 4, 1], 1), sample([3, 2, 5, 5], 1), sample([3, 3, 1, 1], 0), sample([3, 3, 1, 2], 0), sample([3, 3, 2, 1], 0), sample([3, 3, 2, 2], 0), sample([3, 3, 2, 3], 0), sample([3, 3, 2, 4], 0), sample([3, 3, 2, 5], 1), sample([3, 3, 3, 1], 0), continuous=[True, True, True, True] )

35.723404

61

0.428827

386

1,679

1.860104

0.069948

0.222841

0.183844

0.128134

0.733983

0.470752

0.402507

0.348189

0.335655

0.292479

0

0.263644

0.290649

1,679

46

62

36.5

0.339211

0

1

0.02439

false

0

0.04878

0.02439

0.097561

0

1

null

1

0

1

0

1

0

null

0

5

2b8bf979c1d9631b080990156c7a3d646c9b47ab

235

py

Python

easycorrector/preprocess/simple_tradition_convert.py

milter001/text_corrector

ca28fe0ebc008c1c9b1c640eacb78e876e9a3e84

[ "MIT" ]

5

2021-07-19T03:14:45.000Z

2021-12-21T09:21:14.000Z

easycorrector/preprocess/simple_tradition_convert.py

milter001/text_corrector

ca28fe0ebc008c1c9b1c640eacb78e876e9a3e84

[ "MIT" ]

null

easycorrector/preprocess/simple_tradition_convert.py

milter001/text_corrector

ca28fe0ebc008c1c9b1c640eacb78e876e9a3e84

[ "MIT" ]

2

2021-07-19T01:39:21.000Z

2021-07-22T07:31:00.000Z

import opencc s2t_converter = opencc.OpenCC('s2t.json') t2s_converter = opencc.OpenCC('t2s.json') def s2t(text: str) -> str: return s2t_converter.convert(text) def t2s(text: str) -> str: return t2s_converter.convert(text)

18.076923

41

0.714894

34

235

4.823529

0.323529

0.109756

0.256098

0.195122

0

0.04

0.148936

235

12

42

19.583333

0.78

0

0.068085

0

1

0.285714

false

0

0.142857

0.285714

0.714286

0

null

0

1

0

null

0

1

0

1

0

5

2b9e325010c47942960515de37132f92a43c0255

144

py

Python

oandareports/checklist.py

dliu936/oandareports

4a23060d6a7edda0c087bdaa146045c524d88355

[ "BSD-2-Clause" ]

null

oandareports/checklist.py

dliu936/oandareports

4a23060d6a7edda0c087bdaa146045c524d88355

[ "BSD-2-Clause" ]

null

oandareports/checklist.py

dliu936/oandareports

4a23060d6a7edda0c087bdaa146045c524d88355

[ "BSD-2-Clause" ]

null

# This is a temporary file that are used to list tasks and todos # for this project in the development phase # Remove before publishing # Todo:

28.8

64

0.770833

24

144

4.625

0.958333

0

0.194444

144

5

65

28.8

0.956897

0.9375

0

null

0

null

0

null

0

0.2

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

2bab20b37d1454ea78650522bf33768da1ceb1f8

10

py

Python

wapm/example.py

wapm-packages/python

658c1822f430f6d604ecf2bcc388e469cedb2238

[ "Apache-2.0" ]

22

2020-02-17T07:24:59.000Z

2022-03-08T13:03:17.000Z

wapm/example.py

wapm-packages/python

658c1822f430f6d604ecf2bcc388e469cedb2238

[ "Apache-2.0" ]

3

2020-04-20T23:35:18.000Z

2021-06-21T23:38:11.000Z

wapm/example.py

wapm-packages/python

658c1822f430f6d604ecf2bcc388e469cedb2238

[ "Apache-2.0" ]

1

2020-03-04T10:13:53.000Z

print(2)

3.333333

8

0.6

2

10

3

1

0

0.125

0.2

10

2

9

5

0.625

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

2bb2c942a949220994befad6d63f31cea8f60bb5

83

py

Python

src/archives/__init__.py

icaros-usc/dqd-rl

83e3da62df37b45c4b8fc549c07f566797b5f685

[ "MIT" ]

6

2022-02-09T05:35:37.000Z

2022-03-12T11:54:59.000Z

src/archives/__init__.py

icaros-usc/dqd-rl

83e3da62df37b45c4b8fc549c07f566797b5f685

[ "MIT" ]

null

src/archives/__init__.py

icaros-usc/dqd-rl

83e3da62df37b45c4b8fc549c07f566797b5f685

[ "MIT" ]

null

"""pyribs-compliant archives.""" from src.archives.grid_archive import GridArchive

27.666667

49

0.807229

10

83

6.6

0.9

0

0.072289

83

2

50

41.5

0.857143

0.313253

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

2bbf74e42944d343fa34207c14e96e0a6a85f406

190

py

Python

bci_framework/extensions/data_analysis/__init__.py

UN-GCPDS/bci-framework

2bf8e2912a51d909604d680c96cac159b26e566f

[ "BSD-2-Clause" ]

2

2020-05-28T14:01:47.000Z

2022-01-14T15:40:34.000Z

bci_framework/extensions/data_analysis/__init__.py

UN-GCPDS/bci-framework

2bf8e2912a51d909604d680c96cac159b26e566f

[ "BSD-2-Clause" ]

null

bci_framework/extensions/data_analysis/__init__.py

UN-GCPDS/bci-framework

2bf8e2912a51d909604d680c96cac159b26e566f

[ "BSD-2-Clause" ]

null

""" ============= Data Analysis ============= """ from .data_analysis import DataAnalysis from .utils import loop_consumer, fake_loop_consumer, thread_this, subprocess_this, marker_slicing

21.111111

98

0.7

21

190

6

0.666667

0.190476

0

0.1

190

8

99

23.75

0.736842

0.215789

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ecfc4bdbb589a146735513a82f47a026e63e719d

162

py

Python

blog/admin.py

wdmwilcox/simple-blog-website

fedbe8ba69a952b575b57dba06f10d1d5a8b5b07

[ "MIT" ]

null

blog/admin.py

wdmwilcox/simple-blog-website

fedbe8ba69a952b575b57dba06f10d1d5a8b5b07

[ "MIT" ]

null

blog/admin.py

wdmwilcox/simple-blog-website

fedbe8ba69a952b575b57dba06f10d1d5a8b5b07

[ "MIT" ]

null

from django.contrib import admin from blog.models import Comment, Post # Register your models here. admin.site.register(Post) admin.site.register(Comment)

23.142857

38

0.777778

23

162

5.478261

0.565217

0.142857

0.269841

0

0.141975

162

6

39

27

0.906475

0.160494

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

a629e3ebc9759085d5acf1c065af0d466cccbb20

300

py

Python

testcode/error_cases/fixture_wrong_dependency.py

nak/pytest_mproc

c83c38d733124c1c378f588d0334008e56776e10

[ "BSD-2-Clause" ]

6

2020-05-27T03:25:33.000Z

2022-03-16T00:01:14.000Z

testcode/error_cases/fixture_wrong_dependency.py

nak/pytest_mproc

c83c38d733124c1c378f588d0334008e56776e10

[ "BSD-2-Clause" ]

4

2020-05-25T16:03:58.000Z

2021-03-07T16:57:46.000Z

testcode/error_cases/fixture_wrong_dependency.py

nak/pytest_mproc

c83c38d733124c1c378f588d0334008e56776e10

[ "BSD-2-Clause" ]

null

import pytest @pytest.fixture(scope='session') def fixture_session(): return 12 @pytest.fixture(scope='global') def fixture_global_wrong_dependency(fixture_session): pass # will cause setup error with dependency on session fixture def test_it(fixture_global_wrong_dependency): pass

20

69

0.78

40

300

5.625

0.5

0.115556

0.16

0.248889

0

0.007752

0.14

300

14

70

21.428571

0.864341

0.19

0

0.222222

0

0.053942

0

1

0.333333

false

0.222222

0.111111

0.555556

0

null

0

1

0

null

0

1

0

1

0

1

0

5

a648cceaa9478b9fde99a42f9fee6ab6d1cd9305

44

py

Python

bin/telnetd.py

popwu/mipyshell

afa001d0aff2ac26d79f2594474579d65268074f

[ "MIT" ]

31

2019-09-19T03:01:51.000Z

2021-07-21T13:11:30.000Z

bin/telnetd.py

popwu/mipyshell

afa001d0aff2ac26d79f2594474579d65268074f

[ "MIT" ]

1

2020-11-16T17:18:19.000Z

bin/telnetd.py

popwu/mipyshell

afa001d0aff2ac26d79f2594474579d65268074f

[ "MIT" ]

5

2020-10-14T19:50:55.000Z

2022-02-04T12:23:23.000Z

import utelnetserver utelnetserver.start()

11

21

0.840909

4

44

9.25

0.75

0

0.090909

44

3

22

14.666667

0.925

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

a6c28a4d0fc50126a50c9c772bc56374785dad7b

53

py

Python

enveloop/__init__.py

arrrlo/enveloop

af3ba09c38f3bea87b44d14c445306daf4ac3b93

[ "MIT" ]

null

enveloop/__init__.py

arrrlo/enveloop

af3ba09c38f3bea87b44d14c445306daf4ac3b93

[ "MIT" ]

null

enveloop/__init__.py

arrrlo/enveloop

af3ba09c38f3bea87b44d14c445306daf4ac3b93

[ "MIT" ]

null

from enveloop.infinite_loop import limit_recursion_to

53

0.924528

8

53

5.75

1

0

0.056604

53

1

53

0.92

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

47213dca2098aa8157381d7fe0c1d3c318a2767a

23

py

Python

main.py

lukemerrett/PythonBuildSpec

e84747889363392b84d728dc7aac79f8a02b4246

[ "MIT" ]

null

main.py

lukemerrett/PythonBuildSpec

e84747889363392b84d728dc7aac79f8a02b4246

[ "MIT" ]

null

main.py

lukemerrett/PythonBuildSpec

e84747889363392b84d728dc7aac79f8a02b4246

[ "MIT" ]

null

print("Sample script")

11.5

22

0.73913

3

23

5.666667

1

0

0.086957

23

1

23

0.809524

0

0.565217

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

47300da56a69d61e301480181196f0859f7094a6

220

py

Python

sscapital/admin.py

atreyasinha/Heptra-Capital

2492ab9068a7409013da5265186c0f846d9281ac

[ "MIT" ]

null

sscapital/admin.py

atreyasinha/Heptra-Capital

2492ab9068a7409013da5265186c0f846d9281ac

[ "MIT" ]

null

sscapital/admin.py

atreyasinha/Heptra-Capital

2492ab9068a7409013da5265186c0f846d9281ac

[ "MIT" ]

null

from django.contrib import admin from .models import Investors, Financials, Ledger, Prometheus admin.site.register(Investors) admin.site.register(Financials) admin.site.register(Ledger) admin.site.register(Prometheus)

24.444444

61

0.827273

28

220

6.5

0.428571

0.197802

0.373626

0

0.077273

220

8

62

27.5

0.896552

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

5b4af27afe1e0cf1c7ca7b99be3cfdf138e664bc

176

py

Python

jokenpo.py

willdjames/python-strategy-pattern

81147f97eb2821255499bc43a0b8d9d1e682079d

[ "MIT" ]

null

jokenpo.py

willdjames/python-strategy-pattern

81147f97eb2821255499bc43a0b8d9d1e682079d

[ "MIT" ]

null

jokenpo.py

willdjames/python-strategy-pattern

81147f97eb2821255499bc43a0b8d9d1e682079d

[ "MIT" ]

null

#!/usr/bin/env python3 # jokenpo.py from objetos import Objeto def jokeenpoo(jogardor1: Objeto, jogardor2: Objeto) -> str: return str(jogardor1.contra(jogardor2))

25.142857

59

0.715909

22

176

5.727273

0.772727

0

0.034247

0.170455

176

7

60

25.142857

0.828767

0.181818

0

1

0.333333

false

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

5b528c098175cf6201cade8459055645dc94f20a

1,298

py

Python

tests/Transform/test_Transform__fickian_diffusion_coefficients_molar_molar_to_molar_volume.py

kamilazdybal/multipy

ebdcddb63bfb1cd647ca99bbf9002b04a9b50ed9

[ "MIT" ]

null

tests/Transform/test_Transform__fickian_diffusion_coefficients_molar_molar_to_molar_volume.py

kamilazdybal/multipy

ebdcddb63bfb1cd647ca99bbf9002b04a9b50ed9

[ "MIT" ]

null

tests/Transform/test_Transform__fickian_diffusion_coefficients_molar_molar_to_molar_volume.py

kamilazdybal/multipy

ebdcddb63bfb1cd647ca99bbf9002b04a9b50ed9

[ "MIT" ]

null

import unittest import numpy as np import multipy ################################################################################ ################################################################################ #### #### Class: Transform #### ################################################################################ ################################################################################ class Transform(unittest.TestCase): def test_Transform__fickian_diffusion_coefficients_molar_molar_to_molar_volume__allowed_calls(self): pass ################################################################################ ################################################################################ def test_Transform__fickian_diffusion_coefficients_molar_molar_to_molar_volume__not_allowed_calls(self): pass ################################################################################ ################################################################################ def test_Transform__fickian_diffusion_coefficients_molar_molar_to_molar_volume__computation(self): pass ################################################################################ ################################################################################

37.085714

108

0.298921

59

1,298

5.915254

0.389831

0.060172

0.137536

0.197708

0.690544

0

0.064715

1,298

34

109

38.176471

0.287479

0.012327

0

0.3

0

1

0.3

false

0.3

0

0.7

0

null

0

1

0

1

0

1

0

null

0

1

0

1

0

5

5b52cec9d96e78128cdc20c64a5429762a9b4283

31

py

Python

pylytics/conf/project_template/fact/sales/transform.py

onefinestay/pylytics

b6e77e5d9931244efa6120409a4b97cc73efa4c9

[ "Apache-2.0" ]

5

2015-04-09T15:52:11.000Z

2021-07-18T00:19:14.000Z

pylytics/conf/project_template/fact/sales/transform.py

onefinestay/pylytics

b6e77e5d9931244efa6120409a4b97cc73efa4c9

[ "Apache-2.0" ]

11

2015-02-01T03:56:19.000Z

2016-07-14T16:07:23.000Z

pylytics/conf/project_template/fact/sales/transform.py

onefinestay/pylytics

b6e77e5d9931244efa6120409a4b97cc73efa4c9

[ "Apache-2.0" ]

4

2015-02-01T03:53:42.000Z

2015-08-11T13:14:32.000Z

# Define your expansions here.

15.5

30

0.774194

4

31

6

1

0

0.16129

31

1

31

0.923077

0.903226

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

5b991a205d82c361237c5f43af6f93b5e9bd77ca

192

py

Python

src/membership/repository/keys.py

akornatskyy/sample-blog-api

87183780d7f2322ae27231e8eacea1f942f87d1d

[ "MIT" ]

null

src/membership/repository/keys.py

akornatskyy/sample-blog-api

87183780d7f2322ae27231e8eacea1f942f87d1d

[ "MIT" ]

78

2019-06-03T03:24:36.000Z

2021-06-25T15:19:17.000Z

src/membership/repository/keys.py

akornatskyy/sample-blog-api

87183780d7f2322ae27231e8eacea1f942f87d1d

[ "MIT" ]

null

""" """ def authenticate(username): return 'm:auth:' + username def get_user(user_id): return 'm:geus:' + str(user_id) def has_account(username): return 'm:haac:' + username

12.8

35

0.635417

26

192

4.538462

0.538462

0.177966

0.254237

0

0.197917

192

14

36

13.714286

0.766234

0

0.113514

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

5b9983b45cd44efaded9b0450059da6f4648619d

136

py

Python

python/test_rel_import/package2/module2a.py

galdebert/sandbox

1489ed6dfe0b7e44fbc4dc71942bf1d5377a9de9

[ "Apache-2.0" ]

1

2015-09-15T21:41:57.000Z

python/test_rel_import/package2/module2a.py

autodefrost/sandbox

1489ed6dfe0b7e44fbc4dc71942bf1d5377a9de9

[ "Apache-2.0" ]

null

python/test_rel_import/package2/module2a.py

autodefrost/sandbox

1489ed6dfe0b7e44fbc4dc71942bf1d5377a9de9

[ "Apache-2.0" ]

null

# from ..package1 import module1a ValueError: attempted relative import beyond top-level package def func2a(): print('2a')

27.2

104

0.705882

16

136

6

0.9375

0

0.037037

0.205882

136

4

105

34

0.851852

0.75

0

0.0625

0

1

0.5

true

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

5

5baaefd1f18f5bf0d587d3017795ee997c06b610

19

py

Python

test/test_jenkins.py

softester-git/pytraining_v001

dae8910e483f6a508f61d420be67201c482b5cdd

[ "Apache-2.0" ]

null

test/test_jenkins.py

softester-git/pytraining_v001

dae8910e483f6a508f61d420be67201c482b5cdd

[ "Apache-2.0" ]

null

test/test_jenkins.py

softester-git/pytraining_v001

dae8910e483f6a508f61d420be67201c482b5cdd

[ "Apache-2.0" ]

null

print("It`s work!")

19

0.631579

4

19

3

1

0

0.052632

19

1

19

0.666667

0

0.5

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

5be64062c5485f14961ac43e4ec78bd97af1ac47

2,047

py

Python

tests/conftest.py

opencivicdata/python-legistar-scraper

fe43fd455883120843dc8f83625eb625de6021b1

[ "BSD-3-Clause" ]

28

2015-07-28T22:30:06.000Z

2022-02-04T01:53:53.000Z

tests/conftest.py

opencivicdata/python-legistar-scraper

fe43fd455883120843dc8f83625eb625de6021b1

[ "BSD-3-Clause" ]

60

2015-06-15T17:14:26.000Z

2022-03-23T12:55:05.000Z

tests/conftest.py

opencivicdata/python-legistar-scraper

fe43fd455883120843dc8f83625eb625de6021b1

[ "BSD-3-Clause" ]

23

2015-06-15T17:09:46.000Z

2021-12-07T15:00:27.000Z

import json import os import pytest from legistar import base from legistar.bills import LegistarAPIBillScraper @pytest.fixture(scope="module") def scraper(): scraper = base.LegistarAPIScraper() scraper.BASE_URL = 'http://webapi.legistar.com/v1/chicago' scraper.retry_attempts = 0 scraper.requests_per_minute = 0 return scraper @pytest.fixture def project_directory(): test_directory = os.path.abspath(os.path.dirname(__file__)) return os.path.join(test_directory, '..') @pytest.fixture def fixtures_directory(): test_directory = os.path.abspath(os.path.dirname(__file__)) return os.path.join(test_directory, 'fixtures') @pytest.fixture def metro_api_bill_scraper(): scraper = LegistarAPIBillScraper() scraper.BASE_URL = 'https://webapi.legistar.com/v1/metro' scraper.retry_attempts = 0 scraper.requests_per_minute = 0 return scraper @pytest.fixture def chicago_api_bill_scraper(): scraper = LegistarAPIBillScraper() scraper.BASE_URL = 'https://webapi.legistar.com/v1/chicago' scraper.retry_attempts = 0 scraper.requests_per_minute = 0 return scraper @pytest.fixture def matter_index(fixtures_directory): fixture_file = os.path.join(fixtures_directory, 'metro', 'matter_index.json') with open(fixture_file, 'r') as f: fixture = json.load(f) return fixture @pytest.fixture def all_indexes(fixtures_directory): fixture_file = os.path.join(fixtures_directory, 'metro', 'all_indexes.json') with open(fixture_file, 'r') as f: fixture = json.load(f) return fixture @pytest.fixture def dupe_event(fixtures_directory): fixture_file = os.path.join(fixtures_directory, 'chicago', 'dupe_event.json') with open(fixture_file, 'r') as f: fixture = json.load(f) return fixture @pytest.fixture def no_dupe_event(fixtures_directory): fixture_file = os.path.join(fixtures_directory, 'chicago', 'no_dupe_event.json') with open(fixture_file, 'r') as f: fixture = json.load(f) return fixture

25.911392

84

0.726917

269

2,047

5.315985

0.200743

0.041958

0.08951

0.078322

0.793007

0

0.005245

0.1617

2,047

78

85

26.24359

0.828089

0

0.568966

0

0.107963

0

1

0.155172

false

0

0.086207

0

0.396552

0

null

0

1

0

null

0

5

5bef3614103729c33468db89d31722fbc2328ae5

76

py

Python

backend/models/ImageModel.py

TrisNol/Fashion-Product-Classification

760c08efe62b925a1205df45a92e91d72144151f

[ "MIT" ]

null

backend/models/ImageModel.py

TrisNol/Fashion-Product-Classification

760c08efe62b925a1205df45a92e91d72144151f

[ "MIT" ]

null

backend/models/ImageModel.py

TrisNol/Fashion-Product-Classification

760c08efe62b925a1205df45a92e91d72144151f

[ "MIT" ]

null

from pydantic import BaseModel class ImageModel(BaseModel): image: str

15.2

30

0.776316

9

76

6.555556

0.888889

0

0.171053

76

4

31

19

0.936508

0

1

0

true

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5