xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

da0567901787ed96badd1c3ca767a33ae59b33c5

50

py

Python

robot-server/tests/sessions/__init__.py

knownmed/opentrons

d02eb3c6cbf9f1c8c05c5e9e1dac30a92a8c5e6c

[ "Apache-2.0" ]

235

2017-10-27T20:37:27.000Z

2022-03-30T14:09:49.000Z

robot-server/tests/sessions/__init__.py

knownmed/opentrons

d02eb3c6cbf9f1c8c05c5e9e1dac30a92a8c5e6c

[ "Apache-2.0" ]

8,425

2017-10-26T15:25:43.000Z

2022-03-31T23:54:26.000Z

robot-server/tests/sessions/__init__.py

knownmed/opentrons

d02eb3c6cbf9f1c8c05c5e9e1dac30a92a8c5e6c

[ "Apache-2.0" ]

130

2017-11-09T21:02:37.000Z

2022-03-15T18:01:24.000Z

"""Tests for the robot_server.sessions module."""

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da10e0a4bf48a54259e60f7a50a0099221830865

88

py

Python

tests/app_foo/apps.py

romasku/django-migrations-git-conflicts

4042e2fc7cfc5cb64cbc6a8949af72d07d43ff5f

[ "MIT" ]

1

2021-06-10T11:02:11.000Z

tests/app_foo/apps.py

romasku/django-migrations-git-conflicts

4042e2fc7cfc5cb64cbc6a8949af72d07d43ff5f

[ "MIT" ]

1

2021-04-14T02:48:59.000Z

tests/app_foo/apps.py

crux-lab/django-migrations-git-conflicts

4042e2fc7cfc5cb64cbc6a8949af72d07d43ff5f

[ "MIT" ]

null

from django.apps import AppConfig class AppBarConfig(AppConfig): name = 'app_bar'

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null

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4

da4133f8bbe492622ad501e461e3d749dd74879a

222

py

Python

HealthNet/core/admin.py

jimga150/HealthNet

84e55302b02221ae6e93640904af837fdfe09a83

[ "MIT" ]

null

HealthNet/core/admin.py

jimga150/HealthNet

84e55302b02221ae6e93640904af837fdfe09a83

[ "MIT" ]

null

HealthNet/core/admin.py

jimga150/HealthNet

84e55302b02221ae6e93640904af837fdfe09a83

[ "MIT" ]

null

from django.contrib import admin from .models import * admin.site.register(Patient) admin.site.register(Doctor) admin.site.register(Nurse) admin.site.register(Admin) admin.site.register(Hospital) admin.site.register(Log)

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da63e6273e2f7f92a41d73dfe150754d54b99940

83

py

Python

fibonacci/fibo/apps.py

barmandwaipayan/Fibonacci-Calculator

57ddb1511ad282f9cfc88de5beb2af4a87d42a93

[ "MIT" ]

null

fibonacci/fibo/apps.py

barmandwaipayan/Fibonacci-Calculator

57ddb1511ad282f9cfc88de5beb2af4a87d42a93

[ "MIT" ]

null

fibonacci/fibo/apps.py

barmandwaipayan/Fibonacci-Calculator

57ddb1511ad282f9cfc88de5beb2af4a87d42a93

[ "MIT" ]

null

from django.apps import AppConfig class FiboConfig(AppConfig): name = 'fibo'

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4

da75f4c55632bd84ff266ede6200177804200f90

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py

Python

cg_t5/module/__init__.py

liuxuan320/CAIL2021

d21f467773467fdb47923623e99e6d7836a67cc1

[ "Apache-2.0" ]

2

2022-03-18T06:57:01.000Z

2022-03-20T03:29:41.000Z

cg_t5_full/module/__init__.py

liuxuan320/CAIL2021

d21f467773467fdb47923623e99e6d7836a67cc1

[ "Apache-2.0" ]

null

cg_t5_full/module/__init__.py

liuxuan320/CAIL2021

d21f467773467fdb47923623e99e6d7836a67cc1

[ "Apache-2.0" ]

null

#!/usr/bin/env python # encoding: utf-8 ''' #-------------------------------------------------------------------# # CONFIDENTIAL --- CUSTOM STUDIOS # #-------------------------------------------------------------------# # # # @Project Name : t5p-mcdtb # # # # @File Name : __init__.py.py # # # # @Programmer : Jeffrey # # # # @Start Date : 2021/4/18 20:24 # # # # @Last Update : 2021/4/18 20:24 # # # #-------------------------------------------------------------------# # Classes: # # # #-------------------------------------------------------------------# '''

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16f61494ac8f2f218a58e3f103ebcea56b65fe6f

299

py

Python

webnode/__init__.py

desktable/webnode

55241e12c64862fe27ca627b7d33179454cf6855

[ "MIT" ]

null

webnode/__init__.py

desktable/webnode

55241e12c64862fe27ca627b7d33179454cf6855

[ "MIT" ]

null

webnode/__init__.py

desktable/webnode

55241e12c64862fe27ca627b7d33179454cf6855

[ "MIT" ]

null

"""Python module to generate HTML, CSS, and JavaScript for webpages This module is developed under the influence of Quora's Webnode2 system: http://www.quora.com/Quora-Infrastructure/What-is-Webnode2 """ from __future__ import unicode_literals from . import html from .component import Component

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4

e5105c31913e7977a328bfbb970ca27b2777eaf8

116

py

Python

homework2_text_classification/init.py

Zehong-Ma/NLP_homework

7d2afc327405bb492e77c7cb12541c69144b4434

[ "MIT" ]

4

2021-05-27T06:53:14.000Z

2021-06-22T14:50:02.000Z

homework2_text_classification/init.py

Zehong-Ma/NLP_homework

7d2afc327405bb492e77c7cb12541c69144b4434

[ "MIT" ]

null

homework2_text_classification/init.py

Zehong-Ma/NLP_homework

7d2afc327405bb492e77c7cb12541c69144b4434

[ "MIT" ]

null

''' @File : init.py @Author : Zehong Ma @Version : 1.0 @Contact : zehongma@qq.com @Desc : None '''

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e51847e3503b00df16a48055f65e2cbe1515c2d7

83

py

Python

lclpy/localsearch/vns/__init__.py

nobody1570/lspy

1cf6efbafbbf8ddb54ba7a875e82c562f010edd1

[ "MIT" ]

3

2021-11-27T22:11:38.000Z

2022-02-10T11:42:06.000Z

lclpy/localsearch/vns/__init__.py

nobody1570/lspy

1cf6efbafbbf8ddb54ba7a875e82c562f010edd1

[ "MIT" ]

null

lclpy/localsearch/vns/__init__.py

nobody1570/lspy

1cf6efbafbbf8ddb54ba7a875e82c562f010edd1

[ "MIT" ]

null

"""This package contains all classes unique to variable neighbourhood search. """

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4

e520df8849e2e5c7f930db5283f5e5953c4e1709

125

py

Python

aiogithub/objects/gist.py

flying-sheep/aiogithub

566252cac036d9abe2b1eb2acb268547e01ca63e

[ "BSD-3-Clause" ]

10

2016-09-13T15:50:10.000Z

2021-05-27T15:36:58.000Z

aiogithub/objects/gist.py

flying-sheep/aiogithub

566252cac036d9abe2b1eb2acb268547e01ca63e

[ "BSD-3-Clause" ]

5

2017-03-26T13:51:40.000Z

2020-04-22T19:46:36.000Z

aiogithub/objects/gist.py

flying-sheep/aiogithub

566252cac036d9abe2b1eb2acb268547e01ca63e

[ "BSD-3-Clause" ]

2

2020-03-05T06:07:18.000Z

2022-02-11T14:23:46.000Z

from aiogithub.objects.response import BaseResponseObject class Gist(BaseResponseObject): _url = 'gists/{id}' pass

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4

e53dd764bb1963524b1457706b8ea8a034de56eb

204

py

Python

cfox/cd_library/apps.py

fuyb/cfox_project

ad5b3dcf544237de9958ee0a368adcd1a627d5d0

[ "MIT" ]

null

cfox/cd_library/apps.py

fuyb/cfox_project

ad5b3dcf544237de9958ee0a368adcd1a627d5d0

[ "MIT" ]

null

cfox/cd_library/apps.py

fuyb/cfox_project

ad5b3dcf544237de9958ee0a368adcd1a627d5d0

[ "MIT" ]

null

#! -*- coding: utf-8 -*- from django.apps import AppConfig from django.utils.translation import gettext_lazy as _ class CdLibraryConfig(AppConfig): name = 'cd_library' verbose_name = _(u'CD曲库')

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e552d6a2cdef406107ca659ca97386ab538ad2d0

346

py

Python

facenet_sandberg/validation/src/calculator/calculator.py

armanrahman22/facenet

194e7bab2060833acd1d245228bcd43825ce5af3

[ "MIT" ]

24

2018-02-06T23:45:57.000Z

2022-01-27T21:22:30.000Z

facenet_sandberg/validation/src/calculator/calculator.py

armanrahman22/facenet

194e7bab2060833acd1d245228bcd43825ce5af3

[ "MIT" ]

40

2017-11-06T16:29:12.000Z

2022-02-09T23:56:08.000Z

facenet_sandberg/validation/src/calculator/calculator.py

armanrahman22/facenet

194e7bab2060833acd1d245228bcd43825ce5af3

[ "MIT" ]

12

2019-02-08T20:37:16.000Z

2020-12-10T06:55:30.000Z

from abc import ABC from abc import abstractmethod from parser.pair import Pair from typing import Generic from typing import Iterable from typing import TypeVar T = TypeVar('T') class Calculator(ABC, Generic[T]): # pylint: disable=too-few-public-methods @abstractmethod def calculate(self, pairs: Iterable[Pair]) -> T: pass

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e57d9c0f9c652669a9816b177f7b18c56d6445fe

131

py

Python

custom_atoms/components/collections/helper/cmdb_helper/__init__.py

zhonglang/bk_sops_3.3.30

35abe0b9a931c790dece2b0557360cfc8f2fdeb5

[ "Apache-2.0" ]

null

custom_atoms/components/collections/helper/cmdb_helper/__init__.py

zhonglang/bk_sops_3.3.30

35abe0b9a931c790dece2b0557360cfc8f2fdeb5

[ "Apache-2.0" ]

5

2021-02-08T20:46:54.000Z

2021-06-10T22:54:45.000Z

custom_atoms/components/collections/helper/cmdb_helper/__init__.py

zhonglang/bk_sops_3.3.30

35abe0b9a931c790dece2b0557360cfc8f2fdeb5

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # @Author : surfer # @email : surfer@canway.net # @Time : 2020/5/15 15:52 # @file : __init__.py.py

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e586d22f8830c0ffc5ce16e775222171c1fd3b8f

158

py

Python

helpers/database/access_db.py

satyushree/AMR-Url_Uploader

2c59815e42fa9c9e7d063719df4a3504ed7e07f1

[ "MIT" ]

null

helpers/database/access_db.py

satyushree/AMR-Url_Uploader

2c59815e42fa9c9e7d063719df4a3504ed7e07f1

[ "MIT" ]

null

helpers/database/access_db.py

satyushree/AMR-Url_Uploader

2c59815e42fa9c9e7d063719df4a3504ed7e07f1

[ "MIT" ]

7

2021-07-07T10:18:49.000Z

2022-01-08T16:15:55.000Z

# (c) @AbirHasan2005 from sample_config import Config from helpers.database.database import Database db = Database(Config.MONGODB_URI, Config.SESSION_NAME)

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e58ba030ad167d7e2e30db178e36c9618ec8d3d6

153

py

Python

sana_pchr/reporting/urls.py

SanaMobile/sana.pchr.oss-web

2b2fd75a1730f1743e28b4499bb1ba76fa100970

[ "BSD-3-Clause" ]

null

sana_pchr/reporting/urls.py

SanaMobile/sana.pchr.oss-web

2b2fd75a1730f1743e28b4499bb1ba76fa100970

[ "BSD-3-Clause" ]

null

sana_pchr/reporting/urls.py

SanaMobile/sana.pchr.oss-web

2b2fd75a1730f1743e28b4499bb1ba76fa100970

[ "BSD-3-Clause" ]

2

2018-06-07T21:54:08.000Z

2018-07-11T20:40:19.000Z

from django.conf.urls import patterns, url from . import views urlpatterns = patterns( '', url(r'^dashboard/', views.dashboard, name='dashboard') )

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e595f6298b487b801e81169778a2b205b6acf968

493

py

Python

fees/fee.py

aurbano/elefund

2d7980f3c5a45518a23edf3b8d97453ecd45b59d

[ "MIT" ]

null

fees/fee.py

aurbano/elefund

2d7980f3c5a45518a23edf3b8d97453ecd45b59d

[ "MIT" ]

null

fees/fee.py

aurbano/elefund

2d7980f3c5a45518a23edf3b8d97453ecd45b59d

[ "MIT" ]

null

class Fee(object): def __init__(self, currency, fastest, slowest): self.currency = currency self.fastest = fastest self.slowest = slowest def __str__(self): return "Fees for %s [Fastest %s] [Slowest %s]" % (self.currency, self.fastest, self.slowest) def __repr__(self): return "Fees for %s [Fastest %s] [Slowest %s]" % (self.currency, self.fastest, self.slowest) def __eq__(self, other): return self.currency == other.currency

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e59afaaa97339c7e3b91bb2f25ab389817a1fc3e

5,666

py

Python

tests/test_storage.py

HDembinski/boost-histogram

6071588d8b58504938f72818d22ff3ce2a5b45dc

[ "BSD-3-Clause" ]

null

tests/test_storage.py

HDembinski/boost-histogram

6071588d8b58504938f72818d22ff3ce2a5b45dc

[ "BSD-3-Clause" ]

null

tests/test_storage.py

HDembinski/boost-histogram

6071588d8b58504938f72818d22ff3ce2a5b45dc

[ "BSD-3-Clause" ]

null

import pytest import boost_histogram as bh import numpy as np from numpy.testing import assert_array_equal @pytest.mark.parametrize( "storage", [bh.storage.Int64, bh.storage.Double, bh.storage.AtomicInt64, bh.storage.Unlimited], ) def test_setting(storage): h = bh.Histogram(bh.axis.Regular(10, 0, 1), storage=storage()) h[0] = 2 h[1] = 3 h[-1] = 5 assert h[0] == 2 assert h[1] == 3 assert h[9] == 5 assert_array_equal(h.view(), [2, 3, 0, 0, 0, 0, 0, 0, 0, 5]) def test_setting_weight(): h = bh.Histogram(bh.axis.Regular(10, 0, 10), storage=bh.storage.Weight()) h.fill([0.3, 0.3, 0.4, 1.2]) assert h[0] == bh.accumulators.WeightedSum(3, 3) assert h[1] == bh.accumulators.WeightedSum(1, 1) h[0] = bh.accumulators.WeightedSum(value=2, variance=2) assert h[0] == bh.accumulators.WeightedSum(2, 2) a = h.view() assert a[0] == h[0] b = np.asarray(h) assert b["value"][0] == h[0].value assert b["variance"][0] == h[0].variance h[0] = bh.accumulators.WeightedSum(value=3, variance=1) assert h[0].value == 3 assert h[0].variance == 1 assert a[0] == h[0] assert b["value"][0] == h[0].value assert b["variance"][0] == h[0].variance assert b[0]["value"] == a[0]["value"] assert b[0]["variance"] == a[0]["variance"] assert b["value"][0] == a["value"][0] assert b["variance"][0] == a["variance"][0] assert_array_equal(a.view().value, b.view()["value"]) assert_array_equal(a.view().variance, b.view()["variance"]) def test_setting_profile(): h = bh.Histogram(bh.axis.Regular(10, 0, 10), storage=bh.storage.Mean()) h.fill([0.3, 0.3, 0.4, 1.2, 1.6], sample=[1, 2, 3, 4, 4]) assert h[0] == bh.accumulators.Mean(count=3, value=2, variance=1) assert h[1] == bh.accumulators.Mean(count=2, value=4, variance=0) h[0] = bh.accumulators.Mean(count=12, value=11, variance=10) assert h[0] == bh.accumulators.Mean(count=12, value=11, variance=10) a = h.view() assert a[0] == h[0] b = np.asarray(h) assert b["value"][0] == h[0].value assert b["count"][0] == h[0].count assert b["sum_of_deltas_squared"][0] == h[0].sum_of_deltas_squared h[0] = bh.accumulators.Mean(count=6, value=3, variance=2) assert h[0].count == 6 assert h[0].value == 3 assert h[0].variance == 2 assert a[0] == h[0] assert b["value"][0] == h[0].value assert b["count"][0] == h[0].count assert b["sum_of_deltas_squared"][0] == h[0].sum_of_deltas_squared assert b[0]["value"] == a[0]["value"] assert b[0]["count"] == a[0]["count"] assert b[0]["sum_of_deltas_squared"] == a[0]["sum_of_deltas_squared"] assert b[0]["value"] == a["value"][0] assert b[0]["count"] == a["count"][0] assert b[0]["sum_of_deltas_squared"] == a["sum_of_deltas_squared"][0] assert_array_equal(a.view().value, b.view()["value"]) assert_array_equal(a.view().count, b.view()["count"]) assert_array_equal( a.view().sum_of_deltas_squared, b.view()["sum_of_deltas_squared"] ) def test_setting_weighted_profile(): h = bh.Histogram(bh.axis.Regular(10, 0, 10), storage=bh.storage.WeightedMean()) h.fill([0.3, 0.3, 0.4, 1.2, 1.6], sample=[1, 2, 3, 4, 4], weight=[1, 1, 1, 1, 2]) assert h[0] == bh.accumulators.WeightedMean( sum_of_weights=3, sum_of_weights_squared=3, value=2, variance=1 ) assert h[1] == bh.accumulators.WeightedMean( sum_of_weights=3, sum_of_weights_squared=5, value=4, variance=0 ) h[0] = bh.accumulators.WeightedMean( sum_of_weights=12, sum_of_weights_squared=15, value=11, variance=10 ) assert h[0] == bh.accumulators.WeightedMean( sum_of_weights=12, sum_of_weights_squared=15, value=11, variance=10 ) a = h.view() assert a[0] == h[0] b = np.asarray(h) assert b["value"][0] == h[0].value assert b["sum_of_weights"][0] == h[0].sum_of_weights assert b["sum_of_weights_squared"][0] == h[0].sum_of_weights_squared assert b["sum_of_weighted_deltas_squared"][0] == h[0].sum_of_weighted_deltas_squared h[0] = bh.accumulators.WeightedMean( sum_of_weights=6, sum_of_weights_squared=12, value=3, variance=2 ) assert a[0] == h[0] assert h[0].value == 3 assert h[0].variance == 2 assert h[0].sum_of_weights == 6 assert h[0].sum_of_weights_squared == 12 assert h[0].sum_of_weighted_deltas_squared == 8 assert b["value"][0] == h[0].value assert b["sum_of_weights"][0] == h[0].sum_of_weights assert b["sum_of_weights_squared"][0] == h[0].sum_of_weights_squared assert b["sum_of_weighted_deltas_squared"][0] == h[0].sum_of_weighted_deltas_squared assert b[0]["value"] == a[0]["value"] assert b[0]["sum_of_weights"] == a[0]["sum_of_weights"] assert b[0]["sum_of_weights_squared"] == a[0]["sum_of_weights_squared"] assert ( b[0]["sum_of_weighted_deltas_squared"] == a[0]["sum_of_weighted_deltas_squared"] ) assert b[0]["value"] == a["value"][0] assert b[0]["sum_of_weights"] == a["sum_of_weights"][0] assert b[0]["sum_of_weights_squared"] == a["sum_of_weights_squared"][0] assert ( b[0]["sum_of_weighted_deltas_squared"] == a["sum_of_weighted_deltas_squared"][0] ) assert_array_equal(a.view().value, b.view()["value"]) assert_array_equal(a.view().sum_of_weights, b.view()["sum_of_weights"]) assert_array_equal( a.view().sum_of_weights_squared, b.view()["sum_of_weights_squared"] ) assert_array_equal( a.view().sum_of_weighted_deltas_squared, b.view()["sum_of_weighted_deltas_squared"], )

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py

Python

aiida/orm/implementation/general/querytool.py

astamminger/aiida_core

b01ad8236f21804f273c9d2a0365ecee62255cbb

[ "BSD-2-Clause" ]

null

aiida/orm/implementation/general/querytool.py

astamminger/aiida_core

b01ad8236f21804f273c9d2a0365ecee62255cbb

[ "BSD-2-Clause" ]

null

aiida/orm/implementation/general/querytool.py

astamminger/aiida_core

b01ad8236f21804f273c9d2a0365ecee62255cbb

[ "BSD-2-Clause" ]

null

# -*- coding: utf-8 -*- ########################################################################### # Copyright (c), The AiiDA team. All rights reserved. # # This file is part of the AiiDA code. # # # # The code is hosted on GitHub at https://github.com/aiidateam/aiida_core # # For further information on the license, see the LICENSE.txt file # # For further information please visit http://www.aiida.net # ########################################################################### class AbstractQueryTool(object): """ Class to make easy queries without extensive knowledge of SQL, Django and/or the internal storage mechanism of AiiDA. .. note:: This feature is under constant development, so the name of the methods may change in future versions to allow for increased querying capabilities. .. todo:: missing features: * add __in filter * allow __in filter to accept other querytool objects to perform a single query * implement searches through the TC table * document the methods * allow to get attributes of queried data via a single query with suitable methods * add checks to verify whether filters as <=, ==, etc are valid for the specified data type (e.g., __gt only with numbers and dates, ...) * probably many other things... """ # TODO SP: implement it completly. pass

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e5b8b92ce1110abfba8d1ae669058d73a1da655f

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py

Python

composer/models/deeplabv3/__init__.py

moinnadeem/composer

bc3f41b766bd4450f05a99f44db4a6b3901ea1c8

[ "Apache-2.0" ]

null

composer/models/deeplabv3/__init__.py

moinnadeem/composer

bc3f41b766bd4450f05a99f44db4a6b3901ea1c8

[ "Apache-2.0" ]

null

composer/models/deeplabv3/__init__.py

moinnadeem/composer

bc3f41b766bd4450f05a99f44db4a6b3901ea1c8

[ "Apache-2.0" ]

null

# Copyright 2022 MosaicML Composer authors # SPDX-License-Identifier: Apache-2.0 """DeepLabV3 for image segmentation.""" from composer.models.deeplabv3.deeplabv3 import ComposerDeepLabV3 as ComposerDeepLabV3 from composer.models.deeplabv3.deeplabv3_hparams import DeepLabV3Hparams as DeepLabV3Hparams __all__ = ['ComposerDeepLabV3', 'DeepLabV3Hparams']

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py

Python

examples/dagster_examples_tests/stocks_tests/test_stocks_example.py

naralogics/dagster

16d599daa380b800149474fcaff2311b3f8f269a

[ "Apache-2.0" ]

null

examples/dagster_examples_tests/stocks_tests/test_stocks_example.py

naralogics/dagster

16d599daa380b800149474fcaff2311b3f8f269a

[ "Apache-2.0" ]

null

examples/dagster_examples_tests/stocks_tests/test_stocks_example.py

naralogics/dagster

16d599daa380b800149474fcaff2311b3f8f269a

[ "Apache-2.0" ]

null

from dagster_examples.stocks.repository import define_repo def test_basic(): repo = define_repo() assert len(repo.get_all_pipelines()) == 1 assert len(repo.schedule_defs) == 1 assert len(repo.partition_set_defs) == 1

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e5f963bf485e304882c7c98a3856091daa7d9081

306

py

Python

sorting.py

CatBia/pixelsort

7504c6baf9cf9fd77381a70696de26f24f9fe7f1

[ "MIT" ]

1

2019-02-08T15:42:31.000Z

sorting.py

CatBia/pixelsort

7504c6baf9cf9fd77381a70696de26f24f9fe7f1

[ "MIT" ]

null

sorting.py

CatBia/pixelsort

7504c6baf9cf9fd77381a70696de26f24f9fe7f1

[ "MIT" ]

null

import util def lightness(pixel): return util.lightness(pixel) def intensity(pixel): return pixel[0] + pixel[1] + pixel[2] def hue(pixel): return util.hue(pixel) def saturation(pixel): return util.saturation(pixel) def minimum(pixel): return min(pixel[0], pixel[1], pixel[2])

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1

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4

e5fe9658f420dc35d251a061ab1ade836df6959f

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py

Python

co/edu/unbosque/controller/AplMain.py

cdsanchezm/Algoritmos-de-ordenamiento

0790487931778888975d89d30127e6cf2ec9d3c0

[ "MIT" ]

null

co/edu/unbosque/controller/AplMain.py

cdsanchezm/Algoritmos-de-ordenamiento

0790487931778888975d89d30127e6cf2ec9d3c0

[ "MIT" ]

null

co/edu/unbosque/controller/AplMain.py

cdsanchezm/Algoritmos-de-ordenamiento

0790487931778888975d89d30127e6cf2ec9d3c0

[ "MIT" ]

null

import Controller as controller if __name__ == '__main__': controller

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py

Python

tests/test_version.py

firstclasspostcodes/firstclasspostcodes-python

dd0e05257334ab35268cb58433fd6bb1d659b151

[ "MIT" ]

null

tests/test_version.py

firstclasspostcodes/firstclasspostcodes-python

dd0e05257334ab35268cb58433fd6bb1d659b151

[ "MIT" ]

42

2020-01-22T22:33:49.000Z

2021-01-25T15:06:09.000Z

tests/test_version.py

firstclasspostcodes/firstclasspostcodes-python

dd0e05257334ab35268cb58433fd6bb1d659b151

[ "MIT" ]

null

import re from firstclasspostcodes.version import VERSION class TestVersonClass: def test_it_exports_a_valid_version_number(self): assert re.match('^[0-9]+.[0-9]+.[0-9]+$', VERSION)

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f90835db581ff3cfdcdaff3ff553a7eed039a87f

932

py

Python

Ene-Jun-2021/perez-gutierrez-julio-cesar/Decorator.py

bryanbalderas/DAS_Sistemas

1e31f088c0de7134471025a5730b0abfc19d936e

[ "MIT" ]

41

2017-09-26T09:36:32.000Z

2022-03-19T18:05:25.000Z

Ene-Jun-2021/perez-gutierrez-julio-cesar/Decorator.py

bryanbalderas/DAS_Sistemas

1e31f088c0de7134471025a5730b0abfc19d936e

[ "MIT" ]

67

2017-09-11T05:06:12.000Z

2022-02-14T04:44:04.000Z

Ene-Jun-2021/perez-gutierrez-julio-cesar/Decorator.py

bryanbalderas/DAS_Sistemas

1e31f088c0de7134471025a5730b0abfc19d936e

[ "MIT" ]

210

2017-09-01T00:10:08.000Z

2022-03-19T18:05:12.000Z

class CharacterComponent: def __init__(self, name): self.name=name def equip(self): pass class CharacterConcreteComponent(CharacterComponent): def equip(self): return f'{self.name} equipment:' class Decorator(CharacterComponent): _character: CharacterComponent def __init__(self, _character:CharacterComponent): self._character=_character def equip(self): return self._character.equip() class ArmorConcreteDecorator(Decorator): def equip(self): return f'{self._character.equip()}\nArmor: Yes' class SwordConcreteDecorator(Decorator): def equip(self): return f'{self._character.equip()}\nSword: Yes' class RingConcreteDecorator(Decorator): def equip(self): return f'{self._character.equip()}\nRing: Yes' class NecklaceConcreteDecorator(Decorator): def equip(self): return f'{self._character.equip()}\nNecklace: Yes'

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f9119558157eb0104bf7cd2aea6b378404dc4b21

62

py

Python

openslides/topics/__init__.py

swilde/OpenSlides

23ae32a75892005632784652d108836d1ba09da9

[ "MIT" ]

3

2021-02-11T20:45:58.000Z

2022-02-09T21:59:42.000Z

openslides/topics/__init__.py

swilde/OpenSlides

23ae32a75892005632784652d108836d1ba09da9

[ "MIT" ]

2

2021-11-02T15:53:58.000Z

2022-03-02T12:19:49.000Z

server/openslides/topics/__init__.py

DLRG-Jugend-NDS/OpenSlides

03704e4852821ccd67fe23adb6e2c38b67d93732

[ "MIT" ]

3

2021-01-18T11:44:05.000Z

2022-01-19T16:00:23.000Z

default_app_config = "openslides.topics.apps.TopicsAppConfig"

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005c94f68f3ea42d02df77e76ed0cdc95d5179cd

45

py

Python

tests/__init__.py

epoelke/ssh-ldap-pubkey

fefb23eaca1e99c894a8b14a1b04b4be69269a16

[ "MIT" ]

213

2015-01-27T14:19:50.000Z

2022-03-02T23:39:42.000Z

tests/__init__.py

epoelke/ssh-ldap-pubkey

fefb23eaca1e99c894a8b14a1b04b4be69269a16

[ "MIT" ]

39

2015-02-02T13:52:08.000Z

2022-02-28T18:40:09.000Z

tests/__init__.py

epoelke/ssh-ldap-pubkey

fefb23eaca1e99c894a8b14a1b04b4be69269a16

[ "MIT" ]

56

2015-02-02T10:53:33.000Z

2022-01-22T14:01:29.000Z

import sys PY3 = sys.version_info >= (3, 0)

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0060bcbeeb4aadc714b6a0a921d5bb5882eb20a5

143

py

Python

KakaoBike/config.py

Insik-Won/kakao-cote-study

0323307b7bf235b9249e25bf625790a1c56334b7

[ "MIT" ]

null

KakaoBike/config.py

Insik-Won/kakao-cote-study

0323307b7bf235b9249e25bf625790a1c56334b7

[ "MIT" ]

null

KakaoBike/config.py

Insik-Won/kakao-cote-study

0323307b7bf235b9249e25bf625790a1c56334b7

[ "MIT" ]

null

import os from dotenv import load_dotenv load_dotenv(verbose=True) BASE_URL = os.getenv("BASE_URL") X_AUTH_TOKEN = os.getenv("X_AUTH_TOKEN")

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006f151279fd0958f0d2bd6c8b10bd7d08cb21f8

760

py

Python

src/bio2bel_msig/__init__.py

bio2bel/MSIG

cf6495608c7d7a2f73bc0bed5add29948ef5f96a

[ "MIT" ]

2

2019-01-03T16:33:45.000Z

2020-04-07T08:26:46.000Z

src/bio2bel_msig/__init__.py

bio2bel/MSIG

cf6495608c7d7a2f73bc0bed5add29948ef5f96a

[ "MIT" ]

3

2018-03-05T20:10:09.000Z

2018-03-06T08:45:04.000Z

src/bio2bel_msig/__init__.py

bio2bel/MSIG

cf6495608c7d7a2f73bc0bed5add29948ef5f96a

[ "MIT" ]

null

# -*- coding: utf-8 -*- """Bio2BEL MSig is a package for enriching BEL networks with MsigDB. Furthermore, it is integrated in the `ComPath environment <https://github.com/ComPath>`_ for pathway database comparison. Citation -------- - Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., ... & Mesirov, J. P. (2005). Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proceedings of the National Academy of Sciences, 102(43), 15545-15550. - Liberzon, A., Subramanian, A., Pinchback, R., Thorvaldsdóttir, H., Tamayo, P., & Mesirov, J. P. (2011). Molecular signatures database (MSigDB) 3.0. Bioinformatics, 27(12), 1739-1740. """ from .manager import Manager

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00990d97ef21a99cd109eaa594506cd37b8d64ad

229

py

Python

coffin/views/generic/base.py

akx/coffin

7ec1c216a943bceddee4a662a1b1da1069f91231

[ "BSD-3-Clause" ]

1

2018-03-05T08:19:49.000Z

coffin/views/generic/base.py

Deepwalker/coffin

5313abe5dbae1b32772c8de236e9a667e4822363

[ "BSD-3-Clause" ]

null

coffin/views/generic/base.py

Deepwalker/coffin

5313abe5dbae1b32772c8de236e9a667e4822363

[ "BSD-3-Clause" ]

1

2019-08-14T09:51:23.000Z

from django.views.generic.base import RedirectView, TemplateView as _TemplateView from coffin.views.decorators import template_response __all__ = ['RedirectView', 'TemplateView'] TemplateView = template_response(_TemplateView)

32.714286

81

0.838428

24

229

7.666667

0.583333

0.26087

0

0.087336

229

6

82

38.166667

0.880383

0

0.104803

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

00cc016180b7cf931c412c1dbe948ab8affca8a3

72

py

Python

QUANTAXIS/QASpider/wallstreetCN/begin.py

5267/QUANTAXIS

c3f38b805939e33309e2da7ea8cb32d245c3edfb

[ "MIT" ]

92

2017-03-22T07:27:21.000Z

2021-04-04T06:59:26.000Z

QUANTAXIS/QASpider/wallstreetCN/begin.py

5267/QUANTAXIS

c3f38b805939e33309e2da7ea8cb32d245c3edfb

[ "MIT" ]

1

2017-03-22T10:57:27.000Z

2017-03-22T10:57:33.000Z

QUANTAXIS/QASpider/wallstreetCN/begin.py

5267/QUANTAXIS

c3f38b805939e33309e2da7ea8cb32d245c3edfb

[ "MIT" ]

7

2017-03-22T07:27:25.000Z

2020-04-28T08:44:03.000Z

from scrapy import cmdline cmdline.execute("scrapy crawl wsc".split())

18

43

0.777778

10

72

5.6

0.8

0

0.111111

72

4

43

18

0.875

0

0.222222

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

00d9d5a99518b2b954d070dc39914293d3a5f9f3

676

py

Python

pymatex/error/ExceptionErrorListener.py

Gawaboumga/PyMatex

3ccc0aa23211a064aa31a9b509b108cd606a4992

[ "MIT" ]

1

2019-03-05T09:45:04.000Z

pymatex/error/ExceptionErrorListener.py

Gawaboumga/PyMatex

3ccc0aa23211a064aa31a9b509b108cd606a4992

[ "MIT" ]

null

pymatex/error/ExceptionErrorListener.py

Gawaboumga/PyMatex

3ccc0aa23211a064aa31a9b509b108cd606a4992

[ "MIT" ]

null

from antlr4.error.ErrorListener import ErrorListener class ExceptionErrorListener(ErrorListener): def __init__(self): super(ExceptionErrorListener, self).__init__() def syntaxError(self, recognizer, offendingSymbol, line, column, msg, e): raise Exception("{}: syntax error {}".format(column, msg)) def reportAmbiguity(self, recognizer, dfa, startIndex, stopIndex, exact, ambigAlts, configs): pass def reportAttemptingFullContext(self, recognizer, dfa, startIndex, stopIndex, conflictingAlts, configs): pass def reportContextSensitivity(self, recognizer, dfa, startIndex, stopIndex, prediction, configs): pass

33.8

108

0.72929

63

676

7.698413

0.539683

0.115464

0.105155

0.16701

0.22268

0

0.001795

0.176036

676

19

109

35.578947

0.868941

0

0.25

0

0.028107

0

1

0.416667

false

0.25

0.083333

0

0.583333

0

null

0

1

0

null

0

1

0

1

0

1

0

4

00e8000afb43097926031ffb4f0447e433ba1007

105

py

Python

2021/acpc/squarepeg.py

Zeyu-Li/cc_club

df1f47ce68f83dea1a95f03e29c7a942716fd8df

[ "MIT" ]

null

2021/acpc/squarepeg.py

Zeyu-Li/cc_club

df1f47ce68f83dea1a95f03e29c7a942716fd8df

[ "MIT" ]

null

2021/acpc/squarepeg.py

Zeyu-Li/cc_club

df1f47ce68f83dea1a95f03e29c7a942716fd8df

[ "MIT" ]

null

import math l, r = map(int, input().split()) if math.sqrt(2)*r >= l: print("fits") else: print("nope")

15

37

0.6

19

105

3.315789

0.789474

0

0.011236

0.152381

105

6

38

17.5

0.696629

0

0.07619

0

1

0

true

0

0.25

0

0.25

0.5

1

0

null

0

1

0

null

0

1

0

1

0

4

da9eb9fbc7a35c0c9d475ba01017128f853ec536

30

py

Python

venv/lib/python3.6/site-packages/tests/test_level1/__init__.py

Guillaume-Fernandez/phishfinder

b459a30202fd5dfb1340b43c70363705de7cedd9

[ "MIT" ]

130

2018-12-27T06:00:32.000Z

2022-03-29T05:47:18.000Z

venv/lib/python3.6/site-packages/tests/test_level1/__init__.py

Guillaume-Fernandez/phishfinder

b459a30202fd5dfb1340b43c70363705de7cedd9

[ "MIT" ]

157

2018-12-07T07:44:15.000Z

2022-02-05T16:20:08.000Z

venv/lib/python3.6/site-packages/tests/test_level1/__init__.py

Guillaume-Fernandez/phishfinder

b459a30202fd5dfb1340b43c70363705de7cedd9

[ "MIT" ]

32

2018-12-31T03:11:55.000Z

2022-03-06T09:06:43.000Z

"""Test level 1 selectors."""

15

29

0.633333

4

30

4.75

1

0

0.038462

0.133333

30

1

30

0.692308

0.766667

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

daeacafba25a250a293fa85da48cb58718a62f2c

324

py

Python

packages/api-server/api_server/models/rmf_api/task_state_update.py

mayman99/rmf-web

5670bd943567c6a866ec6345c972e6fb84d73476

[ "Apache-2.0" ]

23

2021-04-13T23:01:12.000Z

2022-03-21T02:15:24.000Z

packages/api-server/api_server/models/rmf_api/task_state_update.py

mayman99/rmf-web

5670bd943567c6a866ec6345c972e6fb84d73476

[ "Apache-2.0" ]

326

2021-03-10T17:32:17.000Z

2022-03-30T04:42:14.000Z

packages/api-server/api_server/models/rmf_api/task_state_update.py

mayman99/rmf-web

5670bd943567c6a866ec6345c972e6fb84d73476

[ "Apache-2.0" ]

13

2021-04-10T10:33:36.000Z

2022-02-22T15:39:58.000Z

# generated by datamodel-codegen: # filename: task_state_update.json from __future__ import annotations from pydantic import BaseModel, Field from . import task_state class TaskStateUpdate(BaseModel): type: str = Field(..., description="Indicate that this is a task state update") data: task_state.TaskState

23.142857

83

0.765432

41

324

5.853659

0.682927

0.15

0.125

0

0.160494

324

13

84

24.923077

0.882353

0.20679

0

1

0

0.161417

0

1

0

true

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

daebcf7b78e94e66bf0dfa079647a04cefc27085

6,176

py

Python

python-flask-server/swagger_server/test/test_values_controller.py

broadinstitute/depmap-api

37776fc40fd343f8c8ebe25f0f064c2947d048be

[ "MIT" ]

1

2020-02-03T20:29:03.000Z

python-flask-server/swagger_server/test/test_values_controller.py

broadinstitute/depmap-api

37776fc40fd343f8c8ebe25f0f064c2947d048be

[ "MIT" ]

null

python-flask-server/swagger_server/test/test_values_controller.py

broadinstitute/depmap-api

37776fc40fd343f8c8ebe25f0f064c2947d048be

[ "MIT" ]

2

2020-05-14T22:31:09.000Z

2021-04-15T22:44:40.000Z

# coding: utf-8 from __future__ import absolute_import from flask import json from six import BytesIO from swagger_server.models.copy_number_value import CopyNumberValue # noqa: E501 from swagger_server.models.dependency_value import DependencyValue # noqa: E501 from swagger_server.models.expression_value import ExpressionValue # noqa: E501 from swagger_server.models.mutation import Mutation # noqa: E501 from swagger_server.models.protein_array_value import ProteinArrayValue # noqa: E501 from swagger_server.models.rnai_value import RnaiValue # noqa: E501 from swagger_server.test import BaseTestCase class TestValuesController(BaseTestCase): """ValuesController integration test stubs""" def test_copy_number_by_cell_line_depmap_id_get(self): """Test case for copy_number_by_cell_line_depmap_id_get Retrieve copy-number values by cell line """ response = self.client.open( '/depmap/copy_number/by_cell_line/{depmap_id}'.format(depmap_id='depmap_id_example'), method='GET') self.assert200(response, 'Response body is : ' + response.data.decode('utf-8')) def test_copy_number_by_gene_entrez_gene_id_get(self): """Test case for copy_number_by_gene_entrez_gene_id_get Retrieve copy-number values by gene """ response = self.client.open( '/depmap/copy_number/by_gene/{entrez_gene_id}'.format(entrez_gene_id=56), method='GET') self.assert200(response, 'Response body is : ' + response.data.decode('utf-8')) def test_gene_dependency_by_cell_line_depmap_id_get(self): """Test case for gene_dependency_by_cell_line_depmap_id_get Retrieve gene dependency by cell line """ response = self.client.open( '/depmap/gene_dependency/by_cell_line/{depmap_id}'.format(depmap_id='depmap_id_example'), method='GET') self.assert200(response, 'Response body is : ' + response.data.decode('utf-8')) def test_gene_dependency_by_gene_entrez_gene_id_get(self): """Test case for gene_dependency_by_gene_entrez_gene_id_get Retrieve gene dependency by gene """ response = self.client.open( '/depmap/gene_dependency/by_gene/{entrez_gene_id}'.format(entrez_gene_id=56), method='GET') self.assert200(response, 'Response body is : ' + response.data.decode('utf-8')) def test_gene_expression_by_cell_line_depmap_id_get(self): """Test case for gene_expression_by_cell_line_depmap_id_get Retrieve gene expression by cell line """ response = self.client.open( '/depmap/gene_expression/by_cell_line/{depmap_id}'.format(depmap_id='depmap_id_example'), method='GET') self.assert200(response, 'Response body is : ' + response.data.decode('utf-8')) def test_gene_expression_by_gene_ensembl_gene_get(self): """Test case for gene_expression_by_gene_ensembl_gene_get Retrieve gene expression by gene """ response = self.client.open( '/depmap/gene_expression/by_gene/{ensembl_gene}'.format(ensembl_gene='ensembl_gene_example'), method='GET') self.assert200(response, 'Response body is : ' + response.data.decode('utf-8')) def test_mutations_by_cell_line_depmap_id_get(self): """Test case for mutations_by_cell_line_depmap_id_get Retrieve mutations by cell line """ response = self.client.open( '/depmap/mutations/by_cell_line/{depmap_id}'.format(depmap_id='depmap_id_example'), method='GET') self.assert200(response, 'Response body is : ' + response.data.decode('utf-8')) def test_mutations_by_gene_entrez_gene_id_get(self): """Test case for mutations_by_gene_entrez_gene_id_get Retrieve mutations by gene """ response = self.client.open( '/depmap/mutations/by_gene/{entrez_gene_id}'.format(entrez_gene_id=56), method='GET') self.assert200(response, 'Response body is : ' + response.data.decode('utf-8')) def test_protein_array_by_cell_line_depmap_id_get(self): """Test case for protein_array_by_cell_line_depmap_id_get Retrieve protein array values by cell line """ response = self.client.open( '/depmap/protein_array/by_cell_line/{depmap_id}'.format(depmap_id='depmap_id_example'), method='GET') self.assert200(response, 'Response body is : ' + response.data.decode('utf-8')) def test_protein_array_by_protein_antibody_name_get(self): """Test case for protein_array_by_protein_antibody_name_get Retrieve protein array values by gene """ response = self.client.open( '/depmap/protein_array/by_protein/{antibody_name}'.format(antibody_name='antibody_name_example'), method='GET') self.assert200(response, 'Response body is : ' + response.data.decode('utf-8')) def test_rnai_by_cell_line_depmap_id_get(self): """Test case for rnai_by_cell_line_depmap_id_get Retrieve rnai values by cell line """ response = self.client.open( '/depmap/rnai/by_cell_line/{depmap_id}'.format(depmap_id='depmap_id_example'), method='GET') self.assert200(response, 'Response body is : ' + response.data.decode('utf-8')) def test_rnai_by_gene_entrez_gene_id_get(self): """Test case for rnai_by_gene_entrez_gene_id_get Retrieve rnai values by gene """ response = self.client.open( '/depmap/rnai/by_gene/{entrez_gene_id}'.format(entrez_gene_id=56), method='GET') self.assert200(response, 'Response body is : ' + response.data.decode('utf-8')) if __name__ == '__main__': import unittest unittest.main()

39.589744

109

0.656088

779

6,176

4.856226

0.089859

0.063442

0.07613

0.871795

0.850119

0.783241

0.705525

0.545334

0.474491

0

0.016112

0.246276

6,176

155

110

39.845161

0.796563

0.193005

0

0.55814

0

0.213466

0.117035

0

0.139535

1

0.139535

false

0

0.127907

0

0.27907

0

null

0

1

0

null

0

4

9718b8486af1829f77108c3b5706d69412bba47c

3,523

py

Python

presidio-analyzer/analyzer/field_types/field_factory.py

kant/presidio

af7d82bde7e978313a11a7281eac961697bbe164

[ "MIT" ]

null

presidio-analyzer/analyzer/field_types/field_factory.py

kant/presidio

af7d82bde7e978313a11a7281eac961697bbe164

[ "MIT" ]

null

presidio-analyzer/analyzer/field_types/field_factory.py

kant/presidio

af7d82bde7e978313a11a7281eac961697bbe164

[ "MIT" ]

null

from field_types.globally import credit_card, crypto, email, ip, iban, domain, ner # noqa: E501 from field_types.us import bank as usbank from field_types.us import driver_license as usdriver from field_types.us import itin as usitin from field_types.us import passport as uspassport from field_types.us import phone as usphone from field_types.us import ssn as usssn from field_types.uk import nhs as uknhs import os import sys parentPath = os.path.abspath("..") if parentPath not in sys.path: sys.path.insert(0, parentPath) from analyzer import common_pb2 # noqa: E402 class FieldFactory(object): def create(type): if type == common_pb2.FieldTypesEnum.Name(common_pb2.CREDIT_CARD): return credit_card.CreditCard() if type == common_pb2.FieldTypesEnum.Name(common_pb2.CRYPTO): return crypto.Crypto() if type == common_pb2.FieldTypesEnum.Name(common_pb2.DOMAIN_NAME): return domain.Domain() if type == common_pb2.FieldTypesEnum.Name(common_pb2.EMAIL_ADDRESS): return email.Email() if type == common_pb2.FieldTypesEnum.Name(common_pb2.IBAN_CODE): return iban.Iban() if type == common_pb2.FieldTypesEnum.Name(common_pb2.IP_ADDRESS): return ip.Ip() if type == common_pb2.FieldTypesEnum.Name(common_pb2.US_BANK_NUMBER): return usbank.UsBank() if type == common_pb2.FieldTypesEnum.Name( common_pb2.US_DRIVER_LICENSE): return usdriver.UsDriverLicense() if type == common_pb2.FieldTypesEnum.Name(common_pb2.US_ITIN): return usitin.UsItin() if type == common_pb2.FieldTypesEnum.Name(common_pb2.US_PASSPORT): return uspassport.UsPassport() if type == common_pb2.FieldTypesEnum.Name(common_pb2.PHONE_NUMBER): return usphone.Phone() if type == common_pb2.FieldTypesEnum.Name(common_pb2.US_SSN): return usssn.UsSsn() if type == common_pb2.FieldTypesEnum.Name(common_pb2.UK_NHS): return uknhs.UkNhs() if type == common_pb2.FieldTypesEnum.Name(common_pb2.DATE_TIME): return ner.Ner() if type == common_pb2.FieldTypesEnum.Name(common_pb2.NRP): return ner.Ner() if type == common_pb2.FieldTypesEnum.Name(common_pb2.LOCATION): return ner.Ner() if type == common_pb2.FieldTypesEnum.Name(common_pb2.PERSON): return ner.Ner() create = staticmethod(create) types_refs = { common_pb2.FieldTypesEnum.Name(common_pb2.CREDIT_CARD), common_pb2.FieldTypesEnum.Name(common_pb2.CRYPTO), common_pb2.FieldTypesEnum.Name(common_pb2.DATE_TIME), common_pb2.FieldTypesEnum.Name(common_pb2.DOMAIN_NAME), common_pb2.FieldTypesEnum.Name(common_pb2.EMAIL_ADDRESS), common_pb2.FieldTypesEnum.Name(common_pb2.IBAN_CODE), common_pb2.FieldTypesEnum.Name(common_pb2.IP_ADDRESS), common_pb2.FieldTypesEnum.Name(common_pb2.NRP), common_pb2.FieldTypesEnum.Name(common_pb2.LOCATION), common_pb2.FieldTypesEnum.Name(common_pb2.PERSON), common_pb2.FieldTypesEnum.Name(common_pb2.US_BANK_NUMBER), common_pb2.FieldTypesEnum.Name(common_pb2.US_DRIVER_LICENSE), common_pb2.FieldTypesEnum.Name(common_pb2.US_ITIN), common_pb2.FieldTypesEnum.Name(common_pb2.US_PASSPORT), common_pb2.FieldTypesEnum.Name(common_pb2.PHONE_NUMBER), common_pb2.FieldTypesEnum.Name(common_pb2.US_SSN), common_pb2.FieldTypesEnum.Name(common_pb2.UK_NHS), }

44.0375

96

0.719557

463

3,523

5.235421

0.146868

0.256188

0.187706

0.378713

0.735149

0.680693

0.60231

0.207921

0.066832

0

0.026481

0.185353

3,523

79

97

44.594937

0.818118

0.005961

0

0.056338

0

0.000572

0

1

0.014085

false

0.056338

0.15493

0

0.43662

0

null

1

0

null

0

1

0

4

9724c5e81d3f0d555818128fade29f1f3cf164c0

294

py

Python

projects/SalsaNext/salsa/backbone/__init__.py

Gorilla-Lab-SCUT/gorilla-3d

399ed8616781a0fbc462f655c0e80c258c5a5207

[ "MIT" ]

6

2021-08-30T14:52:05.000Z

2022-02-28T19:37:14.000Z

projects/SalsaNext/salsa/backbone/__init__.py

Gorilla-Lab-SCUT/gorilla-3d

399ed8616781a0fbc462f655c0e80c258c5a5207

[ "MIT" ]

null

projects/SalsaNext/salsa/backbone/__init__.py

Gorilla-Lab-SCUT/gorilla-3d

399ed8616781a0fbc462f655c0e80c258c5a5207

[ "MIT" ]

3

2021-12-25T02:17:51.000Z

2022-02-23T21:53:16.000Z

# Copyright (c) Gorilla-Lab. All rights reserved. from .darknet import DarkNet from .squeezenet import SqueezeNet from .squeezenetV2 import SqueezeNetV2 # auto registry all defined module import torch import gorilla gorilla.core.auto_registry(gorilla.MODULES, globals(), type=torch.nn.Module)

29.4

76

0.812925

39

294

6.102564

0.564103

0.10084

0

0.007663

0.112245

294

9

77

32.666667

0.904215

0.272109

0

1

0

true

0

0.833333

0

0.833333

0

null

0

1

0

null

0

1

0

1

0

1

0

4

973f63804fc6708967f6d84611806117f24662dc

65

py

Python

rh_pathfinding/src/rh_pathfinding/gui/editor/nfzEdit/__init__.py

RhinohawkUAV/rh_ros

e13077060bdfcc231adee9731ebfddadcd8d6b4a

[ "MIT" ]

4

2020-05-13T19:34:27.000Z

2021-09-20T09:01:10.000Z

rh_pathfinding/src/rh_pathfinding/gui/editor/nfzEdit/__init__.py

RhinohawkUAV/rh_ros

e13077060bdfcc231adee9731ebfddadcd8d6b4a

[ "MIT" ]

null

rh_pathfinding/src/rh_pathfinding/gui/editor/nfzEdit/__init__.py

RhinohawkUAV/rh_ros

e13077060bdfcc231adee9731ebfddadcd8d6b4a

[ "MIT" ]

2

2019-09-14T14:45:09.000Z

2020-11-22T01:46:59.000Z

from nfzBuilder import NFZBuilder from nfzEditor import NFZEditor

32.5

33

0.892308

8

65

7.25

0.5

0

0.107692

65

2

34

32.5

1

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

976d3fad88ea00ea93cb1b88b78d06b63aa41429

290

py

Python

tests/test_niwidgets.py

jcreinhold/niwidgets

c684f965073fa74ff3e3bc4d8c9a45bf631778bc

[ "Apache-2.0" ]

null

tests/test_niwidgets.py

jcreinhold/niwidgets

c684f965073fa74ff3e3bc4d8c9a45bf631778bc

[ "Apache-2.0" ]

null

tests/test_niwidgets.py

jcreinhold/niwidgets

c684f965073fa74ff3e3bc4d8c9a45bf631778bc

[ "Apache-2.0" ]

null

#!/usr/bin/env python """Tests for `niwidgets` package.""" from niwidgets import SurfaceWidget, NiftiWidget from niwidgets.example_data import example_surface, example_t1 def test_surfacewidget(): SurfaceWidget(example_surface) def test_niftiwidget(): NiftiWidget(example_t1)

19.333333

62

0.782759

34

290

6.470588

0.529412

0.118182

0

0.007874

0.124138

290

14

63

20.714286

0.858268

0.175862

0

1

0.333333

true

0

0.333333

0

0.666667

0

null

0

null

0

1

0

1

0

1

0

4

977330deb208988c0632332e0dbf5001cc1e3111

185

py

Python

Problem/PeopleFund/itertools_combinations_with_replacement().py

yeojin-dev/coding-test

30ce8507838beaa9232c6fc6c62a7dcb62d51464

[ "MIT" ]

2

2018-07-11T08:13:06.000Z

2018-07-11T08:47:12.000Z

Problem/PeopleFund/itertools_combinations_with_replacement().py

yeojin-dev/coding-test

30ce8507838beaa9232c6fc6c62a7dcb62d51464

[ "MIT" ]

null

Problem/PeopleFund/itertools_combinations_with_replacement().py

yeojin-dev/coding-test

30ce8507838beaa9232c6fc6c62a7dcb62d51464

[ "MIT" ]

null

from itertools import combinations_with_replacement string, n = input().split() for characters in combinations_with_replacement(sorted(string), int(n)): print(''.join(characters))

30.833333

72

0.778378

23

185

6.086957

0.73913

0.228571

0.385714

0

0.102703

185

5

73

37

0.843373

0

1

0

false

0

0.25

0

0.25

1

0

null

1

0

1

0

null

0

4

97c224183f84ee5335140598dcc61752395bd38c

109

py

Python

machina/apps/forum_feeds/__init__.py

OneRainbowDev/django-machina

7354cc50f58dcbe49eecce7e1f019f6fff21d690

[ "BSD-3-Clause" ]

1

2019-01-07T19:18:56.000Z

machina/apps/forum_feeds/__init__.py

OneRainbowDev/django-machina

7354cc50f58dcbe49eecce7e1f019f6fff21d690

[ "BSD-3-Clause" ]

7

2020-02-12T01:11:13.000Z

2022-03-11T23:26:32.000Z

machina/apps/forum_feeds/__init__.py

OneRainbowDev/django-machina

7354cc50f58dcbe49eecce7e1f019f6fff21d690

[ "BSD-3-Clause" ]

1

2019-04-20T05:26:27.000Z

# -*- coding: utf-8 -*- default_app_config = 'machina.apps.forum_feeds.registry_config.FeedsRegistryConfig'

27.25

83

0.770642

13

109

6.153846

0.923077

0

0.01

0.082569

109

3

84

36.333333

0.79

0.192661

0

0.697674

0

1

0

false

0

1

0

null

0

1

0

1

null

0

4

8ae023ac1dd812abc60fdca545decbb54846f0bd

271

py

Python

modules/services/url_constructor.py

mehrabik/az

bae2d04ee03bcb08f20768236111546206fc1c1e

[ "MIT" ]

73

2018-04-06T07:29:36.000Z

2022-03-18T09:24:32.000Z

modules/services/url_constructor.py

mehrabik/az

bae2d04ee03bcb08f20768236111546206fc1c1e

[ "MIT" ]

63

2018-04-25T09:15:46.000Z

2022-03-22T05:46:12.000Z

modules/services/url_constructor.py

mehrabik/az

bae2d04ee03bcb08f20768236111546206fc1c1e

[ "MIT" ]

15

2018-05-26T12:35:00.000Z

2022-02-26T13:26:53.000Z

class UrlConstructor: def __init__(self, key='', base_url='https://androzoo.uni.lu/api/download?apikey={0}&sha256={01}'): self.base_url = base_url self.key = key def construct(self, apk): return self.base_url.format(self.key, apk.sha256)

33.875

103

0.656827

39

271

4.358974

0.564103

0.164706

0.129412

0

0.040909

0.188192

271

7

104

38.714286

0.731818

0

0.217712

0

1

0.333333

false

0

0.166667

0.666667

0

null

0

1

0

null

0

1

0

1

0

4

8af7bafd1b2879739759d4173ea147317150de4b

659

py

Python

run.py

lbaiao/sys-simulator-2

94f00d43309fe7b56dac5099bd4024695ba317b6

[ "MIT" ]

1

2020-06-14T13:50:28.000Z

run.py

lbaiao/sys-simulator-2

94f00d43309fe7b56dac5099bd4024695ba317b6

[ "MIT" ]

null

run.py

lbaiao/sys-simulator-2

94f00d43309fe7b56dac5099bd4024695ba317b6

[ "MIT" ]

null

# Automated script for training, testing and saving # results and models. Avoid editing this script. You must # manually git pull if you edit this script. import os # pulls the code most recent version os.system('git pull origin devel') os.system('python exec.py') # commit new results os.system('git add data/*') os.system('git add data/a2c/*') os.system('git add data/dql/*') os.system('git add models/*') os.system('git add models/a2c/*') os.system('git add models/dql/*') os.system('git add logs/*') os.system('git add logs/a2c/*') os.system('git add logs/dql/*') os.system('git commit -m "new results"') os.system('git push origin devel') print('DONE')

29.954545

57

0.711684

112

659

4.1875

0.392857

0.221748

0.28145

0.268657

0.45629

0

0.005217

0.127466

659

21

58

31.380952

0.810435

0.306525

0

0.538803

0

1

0

true

0

0.066667

0

0.066667

0

null

1

0

null

0

1

0

4

8af9a91ae16c0553db0dee352c0283ac8b4c390a

109

py

Python

web/search/forms.py

vtalks/vtalks.net

80fb19ff9684e0854c6abe5f0eef73e80ec326a6

[ "Apache-2.0" ]

1

2017-11-28T03:17:23.000Z

web/search/forms.py

vtalks/vtalks.net

80fb19ff9684e0854c6abe5f0eef73e80ec326a6

[ "Apache-2.0" ]

56

2018-01-14T18:03:03.000Z

2018-06-25T17:59:02.000Z

web/search/forms.py

vtalks/vtalks.net

80fb19ff9684e0854c6abe5f0eef73e80ec326a6

[ "Apache-2.0" ]

null

from django import forms class SearchForm(forms.Form): q = forms.CharField(max_length=200, initial="")

18.166667

51

0.733945

15

109

5.266667

0.866667

0

0.032258

0.146789

109

5

52

21.8

0.817204

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

8aff3357a2f71ad55060574b8c8c8841675035e1

195

py

Python

src/python/competition/tasks/__init__.py

miyamotok0105/Mario_AI_Competition2009

2fb527b45c9590deabb781f2959e458bc3882b72

[ "MIT" ]

1

2020-12-22T03:46:18.000Z

src/python/competition/tasks/__init__.py

miyamotok0105/Mario_AI_Competition2009

2fb527b45c9590deabb781f2959e458bc3882b72

[ "MIT" ]

null

src/python/competition/tasks/__init__.py

miyamotok0105/Mario_AI_Competition2009

2fb527b45c9590deabb781f2959e458bc3882b72

[ "MIT" ]

3

2020-11-22T11:49:41.000Z

2020-12-07T02:21:27.000Z

__author__="Sergey Karakovskiy, sergey at idsia fullstop ch" __date__ ="$May 13, 2009 12:15:26 AM$" from task import Task from episodictask import EpisodicTask from mariotask import MarioTask

21.666667

60

0.794872

28

195

5.25

0.714286

0

0.071856

0.14359

195

8

61

24.375

0.808383

0

0.376289

0

1

0

false

0

0.6

0

0.6

0

1

0

null

0

1

0

null

0

1

0

1

0

4

c1081923d74f762480b33c6369e1a2dfc4bb0e95

158

py

Python

algorithms/implementation/beautiful_triplets/prithaj.py

prithajnath/HackerRank

4e28acd140d4ebc26db6fcf1dcaefb975a9cc3ae

[ "MIT" ]

4

2017-09-11T13:21:17.000Z

2018-02-02T03:18:26.000Z

algorithms/implementation/beautiful_triplets/prithaj.py

prithajnath/HackerRank

4e28acd140d4ebc26db6fcf1dcaefb975a9cc3ae

[ "MIT" ]

10

2017-01-05T06:03:51.000Z

2018-10-06T03:35:20.000Z

algorithms/implementation/beautiful_triplets/prithaj.py

PlattsSEC/HackerRank

f8951c8cd1cd7f5b520d2c66e17e43b3729b8a80

[ "MIT" ]

8

2016-05-05T00:46:31.000Z

2018-03-30T01:52:50.000Z

n, d = map(int, raw_input().split()) arr = map(int, raw_input().split()) seq_set = set(arr) print sum((1 for i in arr if d+i in seq_set and 2*d+i in seq_set))

39.5

66

0.658228

37

158

2.675676

0.513514

0.181818

0.282828

0.585859

0

0.015038

0.158228

158

4

66

39.5

0.729323

0

null

0

null

0.25

0

null

0

1

0

1

0

null

0

1

0

4

c171befd196b5ba6825de303e26976d657ebc1db

33

py

Python

homeassistant/components/iliad_italy/__init__.py

gsemet/home-assistant

7bed139a93a917c824595c854ba4d883baf55f8b

[ "Apache-2.0" ]

null

homeassistant/components/iliad_italy/__init__.py

gsemet/home-assistant

7bed139a93a917c824595c854ba4d883baf55f8b

[ "Apache-2.0" ]

null

homeassistant/components/iliad_italy/__init__.py

gsemet/home-assistant

7bed139a93a917c824595c854ba4d883baf55f8b

[ "Apache-2.0" ]

null

"""The iliad_italy component."""

16.5

32

0.69697

4

33

5.5

1

0

0.090909

33

1

33

0.733333

0.787879

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

c187d06a8c927a9939fc3b36f213378b4d0c91fe

236

py

Python

shopping_ingredient/forms.py

leichandra/mealplanshop

a10fb2f2d2967d6a00f27452d180cd1b302bc23a

[ "MIT" ]

null

shopping_ingredient/forms.py

leichandra/mealplanshop

a10fb2f2d2967d6a00f27452d180cd1b302bc23a

[ "MIT" ]

3

2021-02-24T05:18:03.000Z

2021-03-11T04:07:03.000Z

shopping_ingredient/forms.py

leichandra/mealplanshop

a10fb2f2d2967d6a00f27452d180cd1b302bc23a

[ "MIT" ]

null

from django import forms from shopping_ingredient.models import ShoppingIngredient import json class ShoppingIngredientForm(forms.ModelForm): class Meta: model = ShoppingIngredient fields = "__all__"

26.222222

59

0.720339

22

236

7.5

0.727273

0

0.237288

236

9

60

26.222222

0.916667

0

0.029536

0

1

0

false

0

0.428571

0

0.714286

0

1

0

null

0

1

0

null

0

1

0

1

0

4

c1883b08eff8c4e702081da171baa56501d20038

210

py

Python

iscc_bench/imageid/subhash.py

coblo/isccbench

daf22cdd740fa99c62c4a56233593159e398596b

[ "BSD-2-Clause" ]

3

2019-07-07T19:30:26.000Z

2020-09-17T10:17:36.000Z

iscc_bench/imageid/subhash.py

coblo/isccbench

daf22cdd740fa99c62c4a56233593159e398596b

[ "BSD-2-Clause" ]

3

2019-04-15T13:00:48.000Z

2021-12-13T19:44:12.000Z

iscc_bench/imageid/subhash.py

coblo/isccbench

daf22cdd740fa99c62c4a56233593159e398596b

[ "BSD-2-Clause" ]

1

2021-02-25T16:13:14.000Z

# -*- coding: utf-8 -*- """Test strategy with hashing mutiple shift invariant aligned patches See: https://stackoverflow.com/a/20316789/51627 """ def main(): pass if __name__ == "__main__": main()

15

69

0.661905

26

210

5.038462

0.923077

0

0.081395

0.180952

210

13

70

16.153846

0.680233

0.657143

0

0.123077

0

1

0.25

true

0.25

0

0.25

0

1

0

null

0

null

0

1

0

4

c194f3ebcdab7b1859ed86433a94f4e9d730ce24

254

py

Python

tt_core/admin.py

probablytom/tweaktoday

d721f078d6ed0c3b7b6435788522dda1ed48ea12

[ "MIT" ]

1

2020-04-18T22:24:11.000Z

tt_core/admin.py

probablytom/tweaktoday

d721f078d6ed0c3b7b6435788522dda1ed48ea12

[ "MIT" ]

null

tt_core/admin.py

probablytom/tweaktoday

d721f078d6ed0c3b7b6435788522dda1ed48ea12

[ "MIT" ]

null

from django.contrib import admin from .models import Mission, TaskSuggestion, Submission, Comment # Register your models here. admin.site.register(Mission) admin.site.register(TaskSuggestion) admin.site.register(Submission) admin.site.register(Comment)

28.222222

64

0.826772

32

254

6.5625

0.4375

0.171429

0.32381

0

0.082677

254

8

65

31.75

0.901288

0.102362

0

1

0

true

0

0.333333

0

0.333333

0

null

0

1

0

1

0

null

0

1

0

1

0

4

c1a82158cdf5f0d66374eb32ea83800280daea7b

3,009

py

Python

Dr. CovidAI/Dr. CovidAI/flaskblog/poolData.py

Shreyas-l/Dr.CovidAI

a09eb779db8d7f38fe4545d3ab71fac8a78f1054

[ "MIT" ]

null

Dr. CovidAI/Dr. CovidAI/flaskblog/poolData.py

Shreyas-l/Dr.CovidAI

a09eb779db8d7f38fe4545d3ab71fac8a78f1054

[ "MIT" ]

1

2020-04-13T15:56:55.000Z

Dr. CovidAI/Dr. CovidAI/flaskblog/poolData.py

Shreyas-l/CODE19-Pyrocrats

a09eb779db8d7f38fe4545d3ab71fac8a78f1054

[ "MIT" ]

null

Data = {'45188': {'location': 'Churchgate', 'probability': 29}, '53055': {'location': 'Powai', 'probability': 81}, '22060': {'location': 'Panvel', 'probability': 56}, '20122': {'location': 'Panvel', 'probability': 83}, '28452': {'location': 'Churchgate', 'probability': 57}, '32595': {'location': 'Nerul', 'probability': 39}, '59670': {'location': 'Seawoods', 'probability': 27}, '43300': {'location': 'Bandra', 'probability': 83}, '10315': {'location': 'Vashi', 'probability': 94}, '37093': {'location': 'Powai', 'probability': 100}, '28735': {'location': 'Churchgate', 'probability': 51}, '45199': {'location': 'Nerul', 'probability': 36}, '42593': {'location': 'Kharghar', 'probability': 51}, '56426': {'location': 'Bandra', 'probability': 99}, '10664': {'location': 'Kharghar', 'probability': 80}, '15312': {'location': 'Bandra', 'probability': 58}, '54782': {'location': 'Vashi', 'probability': 19}, '44394': {'location': 'Kharghar', 'probability': 29}, '45787': {'location': 'Powai', 'probability': 37}, '42615': {'location': 'Churchgate', 'probability': 64}, '41463': {'location': 'Churchgate', 'probability': 79}, '35062': {'location': 'Powai', 'probability': 56}, '51730': {'location': 'Panvel', 'probability': 20}, '42586': {'location': 'Powai', 'probability': 23}, '23449': {'location': 'Bandra', 'probability': 43}, '45694': {'location': 'Powai', 'probability': 34}, '17325': {'location': 'Powai', 'probability': 18}, '19069': {'location': 'Powai', 'probability': 22}, '12177': {'location': 'Powai', 'probability': 33}, '33588': {'location': 'Powai', 'probability': 81}, '59028': {'location': 'Seawoods', 'probability': 38}, '28921': {'location': 'Panvel', 'probability': 1}, '22418': {'location': 'Churchgate', 'probability': 87}, '24024': {'location': 'Churchgate', 'probability': 64}, '57485': {'location': 'Nerul', 'probability': 50}, '45780': {'location': 'Vashi', 'probability': 82}, '54953': {'location': 'Seawoods', 'probability': 6}, '33412': {'location': 'Kharghar', 'probability': 28}, '32392': {'location': 'Churchgate', 'probability': 87}, '24722': {'location': 'Seawoods', 'probability': 31}, '53855': {'location': 'Seawoods', 'probability': 36}, '23142': {'location': 'Kharghar', 'probability': 14}, '47503': {'location': 'Churchgate', 'probability': 18}, '54407': {'location': 'Bandra', 'probability': 52}, '46269': {'location': 'Nerul', 'probability': 32}, '13377': {'location': 'Nerul', 'probability': 76}, '10024': {'location': 'Kharghar', 'probability': 66}, '24706': {'location': 'Powai', 'probability': 14}, '50667': {'location': 'Seawoods', 'probability': 40}, '42508': {'location': 'Bandra', 'probability': 54}, '42972': {'location': 'Panvel', 'probability': 29}, '39833': {'location': 'Seawoods', 'probability': 44}, '38333': {'location': 'Panvel', 'probability': 93}, '32530': {'location': 'Vashi', 'probability': 86}, '30341': {'location': 'Powai', 'probability': 80}, '10286': {'location': 'Powai', 'probability': 80}, '34631': {'location': 'Powai', 'probability': 80}}

3,009

0.62014

286

3,009

6.524476

0.388112

0.097535

0.180064

0.041801

0

0.146162

0.095048

3,009

1

3,009

0.539111

0

0.581063

0

1

0

false

0

null

0

1

0

1

0

null

0

4

c1d8c22f2234d99fa4ac54cacd18c3d575c9bd6e

368

py

Python

rrmpg/data/__init__.py

visr/RRMPG

255224f00d2bdde53666f6bf3f3bf8566de15bb5

[ "MIT" ]

56

2017-08-15T07:03:27.000Z

2022-01-06T13:46:30.000Z

rrmpg/data/__init__.py

visr/RRMPG

255224f00d2bdde53666f6bf3f3bf8566de15bb5

[ "MIT" ]

15

2017-09-13T10:08:01.000Z

2022-03-31T13:34:39.000Z

rrmpg/data/__init__.py

visr/RRMPG

255224f00d2bdde53666f6bf3f3bf8566de15bb5

[ "MIT" ]

25

2017-09-14T15:31:30.000Z

2022-03-03T12:54:09.000Z

# This file is part of RRMPG. # # RRMPG is free software with the aim to provide a playground for experiments # with hydrological rainfall-runoff-models while achieving competitive # performance results. # # You should have received a copy of the MIT License along with RRMPG. If not, # see <https://opensource.org/licenses/MIT> from .camelsloader import CAMELSLoader

36.8

78

0.785326

54

368

5.351852

0.814815

0

0.152174

368

10

79

36.8

0.926282

0.847826

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

c1da6b1d618ed121699c8890e5285938aec4dd65

1,223

py

Python

example/apps/test_security/views.py

druids/django-security

bca889ff1a58378a038a08ca365162d9e3ef3fbf

[ "MIT" ]

9

2019-03-12T12:31:20.000Z

2021-01-22T13:31:36.000Z

example/apps/test_security/views.py

druids/django-security

bca889ff1a58378a038a08ca365162d9e3ef3fbf

[ "MIT" ]

28

2019-12-05T12:20:49.000Z

2022-03-25T08:15:10.000Z

example/apps/test_security/views.py

druids/django-security

bca889ff1a58378a038a08ca365162d9e3ef3fbf

[ "MIT" ]

5

2019-07-10T15:29:44.000Z

2021-02-01T12:50:56.000Z

from django.http import HttpResponse from security.throttling.validators import PerRequestThrottlingValidator from security.logging.requests.utils import log_input_request_with_data from security.decorators import hide_request_body, log_exempt, throttling_exempt, throttling from security import requests def proxy_view(request): return HttpResponse( requests.get( request.GET['url'], slug='proxy', related_objects=(request.user,) if request.user.is_authenticated else () ).content ) @hide_request_body() def hide_request_body_view(request): return HttpResponse() @log_exempt() def log_exempt_view(request): return HttpResponse() @throttling_exempt() def throttling_exempt_view(request): return HttpResponse() @throttling(PerRequestThrottlingValidator(60, 1)) def extra_throttling_view(request): return HttpResponse() def error_view(request): raise RuntimeError def home_view(request): if request.user.is_authenticated: log_input_request_with_data( request, slug='user-home', extra_data={'user_pk': request.user.pk}, related_objects=[request.user] ) return HttpResponse('home page response')

24.959184

110

0.742437

142

1,223

6.15493

0.323944

0.088101

0.097254

0.165904

0.21968

0.102975

0

0.002956

0.170074

1,223

48

111

25.479167

0.858128

0

0.121212

0

0.034342

0

1

0.212121

false

0

0.151515

0.545455

0

null

0

1

0

null

0

1

0

1

0

4

c1e19952c1dde073450013a42b38567ff9cee352

301

py

Python

{{cookiecutter.project_slug}}/app/database.py

apteryxlabs/traefik-https

4e6c7b8a3a61b0a8c504e5b2d1bebca9a403b2bf

[ "MIT" ]

null

{{cookiecutter.project_slug}}/app/database.py

apteryxlabs/traefik-https

4e6c7b8a3a61b0a8c504e5b2d1bebca9a403b2bf

[ "MIT" ]

null

{{cookiecutter.project_slug}}/app/database.py

apteryxlabs/traefik-https

4e6c7b8a3a61b0a8c504e5b2d1bebca9a403b2bf

[ "MIT" ]

null

from motor.motor_asyncio import AsyncIOMotorCollection from app.core.config import settings async def _get_collection() -> AsyncIOMotorCollection: from app.main import MONGO_CLIENT col = MONGO_CLIENT.get_database(settings.MONGO_DB).get_collection(settings.MONGO_COLLECTION) return col

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c1f237229c7ef664ea99d23975ffc5930ec70f0c

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py

Python

miniProj/miniApp/apps.py

cs-fullstack-2019-spring/django-mini-project5-DB225

c8d6823056a7c68a53c465468b8efc58b873b846

[ "Apache-2.0" ]

null

miniProj/miniApp/apps.py

cs-fullstack-2019-spring/django-mini-project5-DB225

c8d6823056a7c68a53c465468b8efc58b873b846

[ "Apache-2.0" ]

null

miniProj/miniApp/apps.py

cs-fullstack-2019-spring/django-mini-project5-DB225

c8d6823056a7c68a53c465468b8efc58b873b846

[ "Apache-2.0" ]

null

from django.apps import AppConfig class MiniappConfig(AppConfig): name = 'miniApp'

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4

a9f744d50b832b2c36412d18d4d6e692a4991604

884

gyp

Python

deps/apr-iconv/apr-iconv.gyp

yume-chan/node-svn

47f2eba70b55dcd15bda745b102668223a2b7f20

[ "MIT" ]

null

deps/apr-iconv/apr-iconv.gyp

yume-chan/node-svn

47f2eba70b55dcd15bda745b102668223a2b7f20

[ "MIT" ]

5

2018-03-16T06:48:29.000Z

2018-04-17T09:47:15.000Z

deps/apr-iconv/apr-iconv.gyp

yume-chan/node-svn

47f2eba70b55dcd15bda745b102668223a2b7f20

[ "MIT" ]

4

2018-04-11T00:06:05.000Z

2019-10-25T01:34:40.000Z

{ "includes": [ "../common.gypi" ], "targets": [ { "configurations": { "Release": { "defines": [ "NDEBUG" ] } }, "include_dirs": [ "apr-iconv/include" ], "sources": [ "dependencies/apr-iconv/lib/iconv.c", "dependencies/apr-iconv/lib/iconv_ces.c", "dependencies/apr-iconv/lib/iconv_ces_euc.c", "dependencies/apr-iconv/lib/iconv_ces_iso2022.c", "dependencies/apr-iconv/lib/iconv_int.c", "dependencies/apr-iconv/lib/iconv_module.c", "dependencies/apr-iconv/lib/iconv_uc.c" ], "target_name": "apr-iconv", } ] }

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e7198f5e30cae1555c8ad9e5b8b9c7eac7170d2f

254

py

Python

cride/rides/serializers/rides.py

LhernerRemon/Rider

30783cf58513698d23730f5fa477dfeddda8ee6b

[ "MIT" ]

null

cride/rides/serializers/rides.py

LhernerRemon/Rider

30783cf58513698d23730f5fa477dfeddda8ee6b

[ "MIT" ]

null

cride/rides/serializers/rides.py

LhernerRemon/Rider

30783cf58513698d23730f5fa477dfeddda8ee6b

[ "MIT" ]

null

#REST from rest_framework import serializers # Model from cride.rides.models import Ride class CreateRideSerializer(serializers.ModelSerializer): class Meta: model=Ride exclude=("offered_in","passengers","rating","is_active")

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null

0

1

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4

e724903eaba80de2864be4aa324e710052895de2

127

py

Python

develop/core/views.py

renderbox/django-help-me

6efdaf715d2770305a7187c008354e0f784f9f5b

[ "MIT" ]

1

2020-09-30T22:21:02.000Z

develop/core/views.py

renderbox/django-help-me

6efdaf715d2770305a7187c008354e0f784f9f5b

[ "MIT" ]

8

2020-09-11T00:50:57.000Z

2022-03-30T22:10:45.000Z

develop/core/views.py

renderbox/django-help-me

6efdaf715d2770305a7187c008354e0f784f9f5b

[ "MIT" ]

null

from django.views.generic import TemplateView class CoreIndexView(TemplateView): template_name = "core/index.html"

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e7774f10b957b1a80f7fbe579a33825cc8de2ecc

277

py

Python

vebits_api/__init__.py

hnt4499/vebits-api

932ff4bd9abc493f225d5b7f0b5f1767008b725a

[ "MIT" ]

null

vebits_api/__init__.py

hnt4499/vebits-api

932ff4bd9abc493f225d5b7f0b5f1767008b725a

[ "MIT" ]

null

vebits_api/__init__.py

hnt4499/vebits-api

932ff4bd9abc493f225d5b7f0b5f1767008b725a

[ "MIT" ]

null

from __future__ import absolute_import # from vebits_api.vebits_api import * from . import bbox_util from . import detector_util from . import im_util from . import labelmap_util from . import others_util from . import vis_util from . import xml_util __version__ = "1.1.4"

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1

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e77ecac1266226391d734cb0c591c5dea573a906

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py

Python

backfillz/example/__init__.py

WarwickCIM/backfillz-py

99c5a685334070cd0836a9df57f7a1a95ae6174d

[ "MIT" ]

1

2021-09-09T12:11:51.000Z

backfillz/example/__init__.py

WarwickCIM/backfillz-py

99c5a685334070cd0836a9df57f7a1a95ae6174d

[ "MIT" ]

18

2021-03-19T13:49:31.000Z

2021-09-13T14:01:19.000Z

backfillz/example/__init__.py

WarwickCIM/backfillz-py

99c5a685334070cd0836a9df57f7a1a95ae6174d

[ "MIT" ]

null

"""example namespace."""

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e78fe535098bdc5ab6fa6eb28eb96d56c48658a6

2,419

py

Python

datasets/transforms/imagenet.py

xyupeng/ContrastiveCrop

305ff6d06f7e81a5a9f7f80480d81adc11436f9b

[ "MIT" ]

148

2022-02-07T18:11:26.000Z

2022-03-31T09:04:32.000Z

datasets/transforms/imagenet.py

xyupeng/ContrastiveCrop

305ff6d06f7e81a5a9f7f80480d81adc11436f9b

[ "MIT" ]

5

2022-03-09T11:53:55.000Z

2022-03-31T12:33:08.000Z

datasets/transforms/imagenet.py

xyupeng/ContrastiveCrop

305ff6d06f7e81a5a9f7f80480d81adc11436f9b

[ "MIT" ]

11

2022-02-12T00:10:04.000Z

2022-03-30T11:34:59.000Z

from torchvision import transforms from .ContrastiveCrop import ContrastiveCrop from .misc import MultiViewTransform, CCompose, GaussianBlur def imagenet_pretrain_rcrop(mean=None, std=None): trans_list = [ transforms.RandomResizedCrop(size=224, scale=(0.2, 1.0)), transforms.RandomHorizontalFlip(p=0.5), transforms.RandomApply([ transforms.ColorJitter(0.4, 0.4, 0.4, 0.1) ], p=0.8), transforms.RandomGrayscale(p=0.2), transforms.RandomApply([GaussianBlur([0.1, 2.0])], p=0.5), transforms.ToTensor(), transforms.Normalize(mean=mean, std=std), ] transform = transforms.Compose(trans_list) transform = MultiViewTransform(transform, num_views=2) return transform def imagenet_pretrain_ccrop(alpha=0.6, mean=None, std=None): trans_list = [ ContrastiveCrop(alpha=alpha, size=224, scale=(0.2, 1.0)), transforms.RandomHorizontalFlip(p=0.5), transforms.RandomApply([ transforms.ColorJitter(0.4, 0.4, 0.4, 0.1) ], p=0.8), transforms.RandomGrayscale(p=0.2), transforms.RandomApply([GaussianBlur([0.1, 2.0])], p=0.5), transforms.ToTensor(), transforms.Normalize(mean=mean, std=std), ] transform = CCompose(trans_list) transform = MultiViewTransform(transform, num_views=2) return transform def imagenet_linear_train(mean=None, std=None): trans = transforms.Compose([ transforms.RandomResizedCrop(size=224), transforms.RandomHorizontalFlip(p=0.5), transforms.ToTensor(), transforms.Normalize(mean=mean, std=std), ]) return trans def imagenet_val(mean=None, std=None): trans = transforms.Compose([ transforms.Resize(256), transforms.CenterCrop(224), transforms.ToTensor(), transforms.Normalize(mean=mean, std=std), ]) return trans def imagenet_eval_boxes(mean=None, std=None): trans = transforms.Compose([ transforms.Resize((224, 224)), transforms.ToTensor(), transforms.Normalize(mean=mean, std=std), ]) return trans def imagenet_supervised_train(normalize): trans = transforms.Compose([ transforms.RandomResizedCrop(size=224), transforms.RandomHorizontalFlip(), transforms.ColorJitter(0.3, 0.3, 0.3), transforms.ToTensor(), normalize, ]) return trans

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e7bbd72335150d90f4173214c608b012d6543c7b

5,789

py

Python

test_app.py

skpaterson/table-setting

32e0c93895b9ca514271f8319c166c234d598049

[ "Apache-2.0" ]

2

2018-08-06T13:25:01.000Z

2018-08-15T15:10:29.000Z

test_app.py

skpaterson/table-setting

32e0c93895b9ca514271f8319c166c234d598049

[ "Apache-2.0" ]

null

test_app.py

skpaterson/table-setting

32e0c93895b9ca514271f8319c166c234d598049

[ "Apache-2.0" ]

2

2018-08-07T14:41:34.000Z

2018-10-03T15:19:36.000Z

import json import pytest from run_app import app, database def setup_module(): with app.test_request_context(): database.drop_all() database.create_all() def teardown_module(): with app.test_request_context(): database.drop_all() @pytest.fixture def client(): return app.test_client() def test_get_forks(client): resp = client.get('/forks') assert resp.status_code == 200 assert len(json.loads(resp.data)) == 0 def test_create_read_delete_fork(client): resp = client.post('/forks', data=json.dumps({'name': 'forky', 'prongs': 8}), headers={'content-type': 'application/json'}) assert resp.status_code == 201 response_data = json.loads(resp.data) assert response_data['name'] == 'forky' assert response_data['prongs'] == 8 # we now also have an ID fork_id = response_data['id'] # check our fork is there resp = client.get('/forks') assert resp.status_code == 200 assert len(json.loads(resp.data)) == 1 # confirm we can get the fork using the ID resp = client.get('/forks/%s' % fork_id) assert resp.status_code == 200 response_data = json.loads(resp.data) assert response_data['name'] == 'forky' assert response_data['prongs'] == 8 assert response_data['id'] == fork_id # now delete our fork resp = client.delete('/forks/%s' % fork_id) assert resp.status_code == 204 # confirm our fork is deleted resp = client.get('/forks') assert resp.status_code == 200 assert len(json.loads(resp.data)) == 0 def test_create_update_delete_fork(client): resp = client.post('/forks', data=json.dumps({'name': 'forky2', 'prongs': 3}), headers={'content-type': 'application/json'}) assert resp.status_code == 201 response_data = json.loads(resp.data) assert response_data['name'] == 'forky2' assert response_data['prongs'] == 3 fork_id = response_data['id'] # now let's update our fork resp = client.put('/forks/%s' % fork_id, data=json.dumps({'name': 'forky2', 'prongs': 4}), headers={'content-type': 'application/json'}) assert resp.status_code == 204 assert resp.data == b'' resp = client.get('/forks/%s' % fork_id) response_data = json.loads(resp.data) assert response_data['name'] == 'forky2' # ensure our prongs are correct assert response_data['prongs'] == 4 resp = client.delete('/forks/%s' % fork_id) assert resp.status_code == 204 def test_create_multiple_forks(client): resp = client.post('/forks', data=json.dumps({'name': 'first fork', 'prongs': 100}), headers={'content-type': 'application/json'}) assert resp.status_code == 201 response_data = json.loads(resp.data) assert response_data['name'] == 'first fork' assert response_data['prongs'] == 100 first_id = response_data['id'] resp = client.post('/forks', data=json.dumps({'name': 'second fork', 'prongs': 50}), headers={'content-type': 'application/json'}) assert resp.status_code == 201 response_data = json.loads(resp.data) assert response_data['name'] == 'second fork' assert response_data['prongs'] == 50 second_id = response_data['id'] resp = client.get('/forks') assert resp.status_code == 200 assert len(json.loads(resp.data)) == 2 # now clean up resp = client.delete('/forks/%s' % first_id) assert resp.status_code == 204 resp = client.delete('/forks/%s' % second_id) assert resp.status_code == 204 def test_non_existing_fork_fails(client): bad_fork = 'not-existing-fork-id' resp = client.get('/forks/%s' % bad_fork) assert resp.status_code == 404 assert json.loads(resp.data)["message"] == "Fork with id %s not found" % bad_fork def test_creation_fails_invalid_schema(client): resp = client.post('/forks', data=json.dumps({'badname': 'first fork', 'prongs': 100}), headers={'content-type': 'application/json'}) assert resp.status_code == 400 response_data = json.loads(resp.data) assert response_data == {'errors': {'name': "'name' is a required property"}, 'message': 'Input payload validation failed'} resp = client.post('/forks', data=json.dumps({'name': 'first fork', 'badprongs': 100}), headers={'content-type': 'application/json'}) assert resp.status_code == 400 response_data = json.loads(resp.data) assert response_data == {'errors': {'prongs': "'prongs' is a required property"}, 'message': 'Input payload validation failed'} def test_update_fails_invalid_schema(client): resp = client.post('/forks', data=json.dumps({'name': 'puttyfork', 'prongs': 3}), headers={'content-type': 'application/json'}) assert resp.status_code == 201 fork_id = json.loads(resp.data)['id'] # now let's break our fork resp = client.put('/forks/%s' % fork_id, data=json.dumps({'badname': 'forky2', 'prongs': 4}), headers={'content-type': 'application/json'}) assert resp.status_code == 400 response_data = json.loads(resp.data) assert response_data == {'errors': {'name': "'name' is a required property"}, 'message': 'Input payload validation failed'} resp = client.put('/forks/%s' % fork_id, data=json.dumps({'name': 'forky2', 'badprongs': 4}), headers={'content-type': 'application/json'}) assert resp.status_code == 400 response_data = json.loads(resp.data) assert response_data == {'errors': {'prongs': "'prongs' is a required property"}, 'message': 'Input payload validation failed'}

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e7cb2f4249ac41448fb5f7fd2ea9a36f59b2ea42

396

py

Python

src/lib/utils/__init__.py

gngdb/ROMP

a940af92e266530f4fe65807ab5920f0b4246511

[ "Apache-2.0" ]

null

src/lib/utils/__init__.py

gngdb/ROMP

a940af92e266530f4fe65807ab5920f0b4246511

[ "Apache-2.0" ]

null

src/lib/utils/__init__.py

gngdb/ROMP

a940af92e266530f4fe65807ab5920f0b4246511

[ "Apache-2.0" ]

null

from .rot_6D import rot6D_to_angular from .util import get_remove_keys, reorganize_items, AverageMeter, get_image_cut_box,normalize_kps, BHWC_to_BCHW, rotation_matrix_to_angle_axis,\ batch_rodrigues, AverageMeter_Dict, transform_rot_representation, save_obj, save_yaml, save_json from .train_utils import load_model, copy_state_dict from .center_utils import process_gt_center

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4

e7ce1530dd6bf7aa6849527e99bbf001c21f54df

6,595

py

Python

pygsti/modelpacks/smq2Q_XYI2.py

colibri-coruscans/pyGSTi

da54f4abf668a28476030528f81afa46a1fbba33

[ "Apache-2.0" ]

73

2016-01-28T05:02:05.000Z

2022-03-30T07:46:33.000Z

pygsti/modelpacks/smq2Q_XYI2.py

colibri-coruscans/pyGSTi

da54f4abf668a28476030528f81afa46a1fbba33

[ "Apache-2.0" ]

113

2016-02-25T15:32:18.000Z

2022-03-31T13:18:13.000Z

pygsti/modelpacks/smq2Q_XYI2.py

colibri-coruscans/pyGSTi

da54f4abf668a28476030528f81afa46a1fbba33

[ "Apache-2.0" ]

41

2016-03-15T19:32:07.000Z

2022-02-16T10:22:05.000Z

""" A standard multi-qubit gate set module. Variables for working with the a model containing Idle, X(pi/2) and Y(pi/2) gates. """ #*************************************************************************************************** # Copyright 2015, 2019 National Technology & Engineering Solutions of Sandia, LLC (NTESS). # Under the terms of Contract DE-NA0003525 with NTESS, the U.S. Government retains certain rights # in this software. # Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except # in compliance with the License. You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 or in the LICENSE file in the root pyGSTi directory. #*************************************************************************************************** from collections import OrderedDict from pygsti.modelpacks._modelpack import GSTModelPack, RBModelPack class _Module(GSTModelPack, RBModelPack): description = "Idle, X(pi/2), and Y(pi/2) gates" gates = [(), ('Gxpi2', 1), ('Gypi2', 1)] _sslbls = (0, 1) _germs = [((), ), (('Gxpi2', 1), ), (('Gypi2', 1), ), (('Gxpi2', 1), ('Gypi2', 1)), (('Gxpi2', 1), ('Gypi2', 1), ()), (('Gxpi2', 1), (), ('Gypi2', 1)), (('Gxpi2', 1), (), ()), (('Gypi2', 1), (), ()), (('Gxpi2', 1), ('Gxpi2', 1), (), ('Gypi2', 1)), (('Gxpi2', 1), ('Gypi2', 1), ('Gypi2', 1), ()), (('Gxpi2', 1), ('Gxpi2', 1), ('Gypi2', 1), ('Gxpi2', 1), ('Gypi2', 1), ('Gypi2', 1))] _germs_lite = [((), ), (('Gxpi2', 1), ), (('Gypi2', 1), ), (('Gxpi2', 1), ('Gypi2', 1)), (('Gxpi2', 1), ('Gxpi2', 1), ('Gypi2', 1))] _fiducials = [(), (('Gxpi2', 1), ), (('Gypi2', 1), ), (('Gxpi2', 1), ('Gxpi2', 1))] _prepfiducials = [(), (('Gxpi2', 1), ), (('Gypi2', 1), ), (('Gxpi2', 1), ('Gxpi2', 1))] _measfiducials = [(), (('Gxpi2', 1), ), (('Gypi2', 1), ), (('Gxpi2', 1), ('Gxpi2', 1))] _clifford_compilation = OrderedDict([('Gc0c0', [(), (), (), (), (), (), ()]), ('Gc0c1', [('Gypi2', 1), ('Gxpi2', 1), (), (), (), (), ()]), ('Gc0c2', [('Gxpi2', 1), ('Gxpi2', 1), ('Gxpi2', 1), ('Gypi2', 1), ('Gypi2', 1), ('Gypi2', 1), ()]), ('Gc0c3', [('Gxpi2', 1), ('Gxpi2', 1), (), (), (), (), ()]), ('Gc0c4', [('Gypi2', 1), ('Gypi2', 1), ('Gypi2', 1), ('Gxpi2', 1), ('Gxpi2', 1), ('Gxpi2', 1), ()]), ('Gc0c5', [('Gxpi2', 1), ('Gypi2', 1), ('Gypi2', 1), ('Gypi2', 1), (), (), ()]), ('Gc0c6', [('Gypi2', 1), ('Gypi2', 1), (), (), (), (), ()]), ('Gc0c7', [('Gypi2', 1), ('Gypi2', 1), ('Gypi2', 1), ('Gxpi2', 1), (), (), ()]), ('Gc0c8', [('Gxpi2', 1), ('Gypi2', 1), (), (), (), (), ()]), ('Gc0c9', [('Gxpi2', 1), ('Gxpi2', 1), ('Gypi2', 1), ('Gypi2', 1), (), (), ()]), ('Gc0c10', [('Gypi2', 1), ('Gxpi2', 1), ('Gxpi2', 1), ('Gxpi2', 1), (), (), ()]), ('Gc0c11', [('Gxpi2', 1), ('Gxpi2', 1), ('Gxpi2', 1), ('Gypi2', 1), (), (), ()]), ('Gc0c12', [('Gypi2', 1), ('Gxpi2', 1), ('Gxpi2', 1), (), (), (), ()]), ('Gc0c13', [('Gxpi2', 1), ('Gxpi2', 1), ('Gxpi2', 1), (), (), (), ()]), ('Gc0c14', [('Gxpi2', 1), ('Gypi2', 1), ('Gypi2', 1), ('Gypi2', 1), ('Gxpi2', 1), ('Gxpi2', 1), ('Gxpi2', 1)]), ('Gc0c15', [('Gypi2', 1), ('Gypi2', 1), ('Gypi2', 1), (), (), (), ()]), ('Gc0c16', [('Gxpi2', 1), (), (), (), (), (), ()]), ('Gc0c17', [('Gxpi2', 1), ('Gypi2', 1), ('Gxpi2', 1), (), (), (), ()]), ('Gc0c18', [('Gypi2', 1), ('Gypi2', 1), ('Gypi2', 1), ('Gxpi2', 1), ('Gxpi2', 1), (), ()]), ('Gc0c19', [('Gxpi2', 1), ('Gypi2', 1), ('Gypi2', 1), (), (), (), ()]), ('Gc0c20', [('Gxpi2', 1), ('Gypi2', 1), ('Gypi2', 1), ('Gypi2', 1), ('Gxpi2', 1), (), ()]), ('Gc0c21', [('Gypi2', 1), (), (), (), (), (), ()]), ('Gc0c22', [('Gxpi2', 1), ('Gxpi2', 1), ('Gxpi2', 1), ('Gypi2', 1), ('Gypi2', 1), (), ()]), ('Gc0c23', [('Gxpi2', 1), ('Gypi2', 1), ('Gxpi2', 1), ('Gxpi2', 1), ('Gxpi2', 1), (), ()])]) global_fidpairs = [(0, 1), (2, 0), (2, 1), (3, 3)] _pergerm_fidpairsdict = { (('Gxpi2', 1), ): [(1, 2), (2, 2), (3, 1), (3, 3)], ((), ): [(1, 1), (2, 2), (3, 3)], (('Gypi2', 1), ): [(0, 1), (1, 1), (2, 0), (3, 0)], (('Gxpi2', 1), ('Gypi2', 1)): [(0, 1), (2, 0), (2, 1), (3, 3)], (('Gypi2', 1), (), ()): [(0, 1), (1, 1), (2, 0), (3, 0)], (('Gxpi2', 1), (), ('Gypi2', 1)): [(0, 1), (2, 0), (2, 1), (3, 3)], (('Gxpi2', 1), ('Gypi2', 1), ()): [(0, 1), (2, 0), (2, 1), (3, 3)], (('Gxpi2', 1), (), ()): [(1, 2), (2, 2), (3, 1), (3, 3)], (('Gxpi2', 1), ('Gxpi2', 1), (), ('Gypi2', 1)): [(0, 0), (1, 0), (1, 1), (2, 1), (3, 2), (3, 3)], (('Gxpi2', 1), ('Gypi2', 1), ('Gypi2', 1), ()): [(0, 2), (1, 0), (1, 1), (2, 0), (2, 2), (3, 3)], (('Gxpi2', 1), ('Gxpi2', 1), ('Gypi2', 1), ('Gxpi2', 1), ('Gypi2', 1), ('Gypi2', 1)): [(0, 0), (0, 1), (0, 2), (1, 2)] } global_fidpairs_lite = [(0, 4), (0, 5), (1, 0), (2, 0), (2, 4), (2, 5), (3, 0), (4, 2), (4, 4), (5, 1), (5, 2), (5, 3)] _pergerm_fidpairsdict_lite = { (('Gxpi2', 1), ): [(1, 1), (3, 4), (4, 2), (5, 5)], ((), ): [(0, 3), (1, 1), (5, 5)], (('Gypi2', 1), ): [(0, 2), (2, 2), (2, 4), (4, 4)], (('Gxpi2', 1), ('Gypi2', 1)): [(0, 0), (0, 4), (2, 5), (5, 4)], (('Gxpi2', 1), ('Gxpi2', 1), ('Gypi2', 1)): [(1, 3), (1, 4), (3, 5), (5, 0), (5, 4), (5, 5)] } def _target_model(self, sslbls, **kwargs): # Note: same as smq2Q_XYI1 -- (this entire module may be redundant) return self._build_explicit_target_model( sslbls, [(), ('Gxpi2', 1), ('Gypi2', 1)], ['I({0})', 'X(pi/2,{0})', 'Y(pi/2,{0})'], effect_labels=['0', '1'], effect_expressions=['0', '1'], **kwargs) import sys sys.modules[__name__] = _Module()

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Python

da/lib/base.py

yagrawal-sbu/distalgo

10e6db89b7db05d3b076dcf9295ce4f189558323

[ "MIT" ]

null

da/lib/base.py

yagrawal-sbu/distalgo

10e6db89b7db05d3b076dcf9295ce4f189558323

[ "MIT" ]

null

da/lib/base.py

yagrawal-sbu/distalgo

10e6db89b7db05d3b076dcf9295ce4f189558323

[ "MIT" ]

null

# -*- generated by 1.0.9 -*- import da _config_object = {} class Node_(da.NodeProcess): def __init__(self, procimpl, props): super().__init__(procimpl, props) self._events.extend([]) def run(self): return 0

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py

Python

app/models/__init__.py

attachemd/backend_v03

c14b1b9e1c00187f5df8c3a3a4407eb5938aa314

[ "MIT" ]

null

app/models/__init__.py

attachemd/backend_v03

c14b1b9e1c00187f5df8c3a3a4407eb5938aa314

[ "MIT" ]

null

app/models/__init__.py

attachemd/backend_v03

c14b1b9e1c00187f5df8c3a3a4407eb5938aa314

[ "MIT" ]

null

from .user import User # from .meta import Base # from .user import User # from .user_role import UserRole # from .role import Role # from sqlalchemy.ext.declarative import declarative_base # from sqlalchemy.orm import scoped_session, sessionmaker # # DBSession = scoped_session(sessionmaker()) # Base = declarative_base() # # # def initialize_sql(engine): # DBSession.configure(bind=engine) # Base.metadata.bind = engine # Base.metadata.create_all(engine)

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4

99ddd967203f3322d8157fe841f93fd89d642dc5

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py

Python

login.py

Etering/testflask

0ab41202a98be82b5ed22416a81e96522915985e

[ "MIT" ]

null

login.py

Etering/testflask

0ab41202a98be82b5ed22416a81e96522915985e

[ "MIT" ]

null

login.py

Etering/testflask

0ab41202a98be82b5ed22416a81e96522915985e

[ "MIT" ]

null

num = 111 num = 222 num = 333333 num = 333 num4 = 44444

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1

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null

0

4

99e5156450a939269fc6e329b348ac439c1b68ed

85

py

Python

librarypaste/__init__.py

yougov/librarypaste

740fafcb260f493ca5bbd24afd59d49444c2b2ae

[ "MIT" ]

null

librarypaste/__init__.py

yougov/librarypaste

740fafcb260f493ca5bbd24afd59d49444c2b2ae

[ "MIT" ]

null

librarypaste/__init__.py

yougov/librarypaste

740fafcb260f493ca5bbd24afd59d49444c2b2ae

[ "MIT" ]

1

2022-03-26T09:24:56.000Z

import pkg_resources __version__ = pkg_resources.require('librarypaste')[0].version

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8203ab30645a04e414979c7b1228eb31758baeb2

287

py

Python

task.py

Darya-borisenko/2020-2-level-programming-practice

045a74144e627e6cae5f63f00581a96241bc802d

[ "MIT" ]

1

2021-02-14T09:42:41.000Z

task.py

Darya-borisenko/2020-2-level-programming-practice

045a74144e627e6cae5f63f00581a96241bc802d

[ "MIT" ]

null

task.py

Darya-borisenko/2020-2-level-programming-practice

045a74144e627e6cae5f63f00581a96241bc802d

[ "MIT" ]

null

""" На вход подается число n, верните разность n и 21. При этом если n больше 21, верните удвоенную разность. diff21(19) → 2 diff21(10) → 11 diff21(21) → 0 diff21(50) → 58 diff21(-2) → 23 diff21(-1) → 22 diff21(2) → 19 diff21(0) → 21 diff21(30) → 18 """ def diff(num): return 0

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py

Python

test/slicing/test_slice_combiner.py

awesome-archive/snorkel

d68bf18cf9ee0cec5958ab7802059a0c77c34b9e

[ "Apache-2.0" ]

null

test/slicing/test_slice_combiner.py

awesome-archive/snorkel

d68bf18cf9ee0cec5958ab7802059a0c77c34b9e

[ "Apache-2.0" ]

null

test/slicing/test_slice_combiner.py

awesome-archive/snorkel

d68bf18cf9ee0cec5958ab7802059a0c77c34b9e

[ "Apache-2.0" ]

null

import random import unittest import torch from snorkel.slicing import SliceCombinerModule from snorkel.utils import set_seed class SliceCombinerTest(unittest.TestCase): @classmethod def setUpClass(cls): set_seed(123) def test_forward_shape(self): """Test that the reweight representation shape matches expected feature size.""" # common case batch_size = 4 h_dim = 20 num_classes = 2 outputs = { # Always 2-dim binary outputs "task_slice:base_ind_head": torch.FloatTensor(batch_size, 2).uniform_(0, 1), "task_slice:base_pred_transform": torch.FloatTensor( batch_size, h_dim ).uniform_(0, 1), "task_slice:base_pred_head": torch.FloatTensor( batch_size, num_classes ).uniform_(0, 1), } combiner_module = SliceCombinerModule() combined_rep = combiner_module(outputs) self.assertEqual(tuple(combined_rep.shape), (batch_size, h_dim)) # edge case (some ones) batch_size = 1 h_dim = 1 num_classes = 2 outputs = { # Always 2-dim binary outputs "task_slice:base_ind_head": torch.FloatTensor(batch_size, 2).uniform_(0, 1), "task_slice:base_pred_transform": torch.FloatTensor( batch_size, h_dim ).uniform_(0, 1), "task_slice:base_pred_head": torch.FloatTensor( batch_size, num_classes ).uniform_(0, 1), } combiner_module = SliceCombinerModule() combined_rep = combiner_module(outputs) self.assertEqual(tuple(combined_rep.shape), (batch_size, h_dim)) # num_classes = 1 batch_size = 1 h_dim = 1 num_classes = 1 outputs = { # Always 2-dim binary outputs "task_slice:base_ind_head": torch.FloatTensor(batch_size, 2).uniform_(0, 1), "task_slice:base_pred_transform": torch.FloatTensor( batch_size, h_dim ).uniform_(0, 1), "task_slice:base_pred_head": torch.FloatTensor( batch_size, num_classes ).uniform_(0, 1), } combiner_module = SliceCombinerModule() with self.assertRaisesRegex(NotImplementedError, "requires output shape"): combined_rep = combiner_module(outputs) def test_average_reweighting(self): """Test average reweighting (equal weight across two slices).""" batch_size = 4 h_dim = 20 num_classes = 2 outputs = { "task_slice:a_ind_head": torch.ones(batch_size, 2) * 10.0, "task_slice:a_pred_transform": torch.ones(batch_size, h_dim) * 4, "task_slice:a_pred_head": torch.ones(batch_size, num_classes) * 10.0, "task_slice:b_ind_head": torch.ones(batch_size, 2) * -10.0, "task_slice:b_pred_transform": torch.ones(batch_size, h_dim) * 2, "task_slice:b_pred_head": torch.ones(batch_size, num_classes) * -10.0, } combiner_module = SliceCombinerModule() combined_rep = combiner_module(outputs) self.assertTrue(torch.allclose(combined_rep, torch.ones(batch_size, h_dim) * 3)) def test_average_reweighting_by_ind(self): """Test average reweighting by ind (zeros in pred head).""" batch_size = 4 h_dim = 20 num_classes = 2 outputs = { "task_slice:a_ind_head": torch.ones(batch_size, 2) * 10.0, "task_slice:a_pred_transform": torch.ones(batch_size, h_dim) * 4, "task_slice:a_pred_head": torch.zeros(batch_size, num_classes), "task_slice:b_ind_head": torch.ones(batch_size, 2) * -10.0, "task_slice:b_pred_transform": torch.ones(batch_size, h_dim) * 2, "task_slice:b_pred_head": torch.zeros(batch_size, num_classes), } combiner_module = SliceCombinerModule() combined_rep = combiner_module(outputs) self.assertTrue(torch.allclose(combined_rep, torch.ones(batch_size, h_dim) * 3)) def test_average_reweighting_by_pred_confidence(self): """Test average reweighting by pred confidence (zeros in ind head).""" batch_size = 4 h_dim = 20 num_classes = 2 outputs = { "task_slice:a_ind_head": torch.zeros(batch_size, 2), "task_slice:a_pred_transform": torch.ones(batch_size, h_dim) * 4, "task_slice:a_pred_head": torch.ones(batch_size, num_classes) * 5, "task_slice:b_ind_head": torch.zeros(batch_size, 2), "task_slice:b_pred_transform": torch.ones(batch_size, h_dim) * 2, "task_slice:b_pred_head": torch.ones(batch_size, num_classes) * 5, } combiner_module = SliceCombinerModule() combined_rep = combiner_module(outputs) self.assertTrue(torch.all(combined_rep == torch.ones(batch_size, h_dim) * 3)) # Changing sign of prediction shouldn't change confidence outputs = { "task_slice:a_ind_head": torch.zeros(batch_size, 2), "task_slice:a_pred_transform": torch.ones(batch_size, h_dim) * 4, "task_slice:a_pred_head": torch.ones(batch_size, num_classes) * -5, "task_slice:b_ind_head": torch.zeros(batch_size, 2), "task_slice:b_pred_transform": torch.ones(batch_size, h_dim) * 2, "task_slice:b_pred_head": torch.ones(batch_size, num_classes) * 5, } combiner_module = SliceCombinerModule() combined_rep = combiner_module(outputs) self.assertTrue(torch.allclose(combined_rep, torch.ones(batch_size, h_dim) * 3)) def test_many_slices(self): """Test combiner on 100 synthetic generated slices.""" batch_size = 4 h_dim = 20 num_classes = 2 outputs = {} # Generate 100 slices, half voting in one direction (index i) and # half in another (index i%2), resulting in averaged weights for i in range(100): if i % 2 == 0: outputs[f"task_slice:{i}_ind_head"] = torch.ones(batch_size, 2) * 20.0 outputs[f"task_slice:{i}_pred_transform"] = ( torch.ones(batch_size, h_dim) * 4 ) outputs[f"task_slice:{i}_pred_head"] = ( torch.ones(batch_size, num_classes) * 20.0 ) else: outputs[f"task_slice:{i}_ind_head"] = torch.ones(batch_size, 2) * -20.0 outputs[f"task_slice:{i}_pred_transform"] = ( torch.ones(batch_size, h_dim) * 2 ) outputs[f"task_slice:{i}_pred_head"] = ( torch.ones(batch_size, num_classes) * -20.0 ) combiner_module = SliceCombinerModule() combined_rep = combiner_module(outputs) self.assertTrue(torch.allclose(combined_rep, torch.ones(batch_size, h_dim) * 3)) def test_combiner_multiclass(self): """Test combiner in multiclass setting.""" batch_size = 4 h_dim = 20 num_classes = 10 # For each class, make one class (at random) the maximum score # For everything else, set to "logit" between [-5, 5] max_score_indexes_a = [ random.randint(0, num_classes) for _ in range(batch_size) ] pred_outputs_a = torch.FloatTensor(batch_size, num_classes).uniform_(-5, 5) pred_outputs_a = pred_outputs_a.scatter_( # scatter max score (10.0) at indexes 1, torch.tensor(max_score_indexes_a).unsqueeze(1), 10.0, ) max_score_indexes_b = [ random.randint(0, num_classes) for _ in range(batch_size) ] pred_outputs_b = torch.FloatTensor(batch_size, num_classes).uniform_(-5, 5) pred_outputs_b = pred_outputs_b.scatter_( # scatter max score (-10.0) at indexes 1, torch.tensor(max_score_indexes_b).unsqueeze(1), 10.0, ) outputs = { "task_slice:a_ind_head": torch.ones(batch_size, 2) * -10.0, "task_slice:a_pred_transform": torch.ones(batch_size, h_dim) * 4, "task_slice:a_pred_head": pred_outputs_a, "task_slice:b_ind_head": torch.ones(batch_size, 2) * 10.0, "task_slice:b_pred_transform": torch.ones(batch_size, h_dim) * 2, "task_slice:b_pred_head": pred_outputs_b, } # Ensure smoother temperature for multi-class combiner_module = SliceCombinerModule() with self.assertRaisesRegex(NotImplementedError, "more than 2 classes"): combiner_module(outputs) def test_temperature(self): """Test temperature parameter for attention weights.""" batch_size = 4 h_dim = 20 num_classes = 2 # Add noise to each set of inputs to attention weights epsilon = 1e-5 outputs = { "task_slice:a_ind_head": torch.ones(batch_size, 2) * 10.0 + torch.FloatTensor(batch_size, 2).normal_(0.0, epsilon), "task_slice:a_pred_transform": torch.ones(batch_size, h_dim) * 4 + torch.FloatTensor(batch_size, h_dim).normal_(0.0, epsilon), "task_slice:a_pred_head": torch.ones(batch_size, num_classes) * 10.0 + torch.FloatTensor(batch_size, num_classes).normal_(0.0, epsilon), "task_slice:b_ind_head": torch.ones(batch_size, 2) * -10.0 + torch.FloatTensor(batch_size, 2).normal_(0.0, epsilon), "task_slice:b_pred_transform": torch.ones(batch_size, h_dim) * 2 + torch.FloatTensor(batch_size, h_dim).normal_(0.0, epsilon), "task_slice:b_pred_head": torch.ones(batch_size, num_classes) * -10.0 + torch.FloatTensor(batch_size, num_classes).normal_(0.0, epsilon), } # With larger temperature, attention is smoother and reweighted rep is closer # closer to true average, despite noise combiner_module = SliceCombinerModule(temperature=1e5) combined_rep = combiner_module(outputs) self.assertTrue(torch.allclose(combined_rep, torch.ones(batch_size, h_dim) * 3)) # With (impractically) small temperature, attention peaks/biases towards in # some direction of noisy attention weights combiner_module = SliceCombinerModule(temperature=1e-15) combined_rep = combiner_module(outputs) # Check number of elements that match either of the original weights # Every example should either match 2 or 4 isclose_four = torch.isclose( combined_rep, torch.ones(batch_size, h_dim) * 2, atol=1e-4 ) isclose_two = torch.isclose( combined_rep, torch.ones(batch_size, h_dim) * 4, atol=1e-4 ) num_matching_original = torch.sum(isclose_four) + torch.sum(isclose_two) self.assertEqual(num_matching_original, batch_size * h_dim) if __name__ == "__main__": unittest.main()

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4185db69efc54110f91b4f5d8206d8accd1d39d9

282

py

Python

测试/pytest-codes/updown_function.py

hhyluor/Code_Repository-

0b692bcd5b00312b5c9fd19d55b50c495d27de2b

[ "MIT" ]

null

测试/pytest-codes/updown_function.py

hhyluor/Code_Repository-

0b692bcd5b00312b5c9fd19d55b50c495d27de2b

[ "MIT" ]

null

测试/pytest-codes/updown_function.py

hhyluor/Code_Repository-

0b692bcd5b00312b5c9fd19d55b50c495d27de2b

[ "MIT" ]

null

# setup_function 每个测试函数执行之前被调用 # teardown_function 每个测试函数执行之后被调用 def setup_function(): print('setup function') def teardown_function(): print('teardown function') def test_1(): print('test 1') def test_2(): print('test 2') def test_3(): print('test 3')

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41a7b9f2995b0ebf050c75c05e74f23fd55ff03a

93

py

Python

hexipro-backend/hexipro/tiles/apps.py

eleon479/hexipro

e46bcc1a83a6c796c7643ba7d1db9a60d0ea60e3

[ "MIT" ]

1

2021-01-11T03:02:02.000Z

hexipro-backend/hexipro/tiles/apps.py

eleon479/hexipro

e46bcc1a83a6c796c7643ba7d1db9a60d0ea60e3

[ "MIT" ]

null

hexipro-backend/hexipro/tiles/apps.py

eleon479/hexipro

e46bcc1a83a6c796c7643ba7d1db9a60d0ea60e3

[ "MIT" ]

null

from django.apps import AppConfig class TilesConfig(AppConfig): name = "hexipro.tiles"

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py

Python

pyjobs_web/pyjobsweb/controllers/__init__.py

pyjobs/web

183742ae571ee83d4fe4b34f1f0ce9f2204c449e

[ "MIT" ]

8

2016-01-29T13:06:26.000Z

2020-11-02T07:23:57.000Z

pyjobs_web/pyjobsweb/controllers/__init__.py

pyjobs/web

183742ae571ee83d4fe4b34f1f0ce9f2204c449e

[ "MIT" ]

18

2016-02-11T08:17:13.000Z

2022-03-02T14:53:38.000Z

pyjobs_web/pyjobsweb/controllers/__init__.py

pyjobs/web

183742ae571ee83d4fe4b34f1f0ce9f2204c449e

[ "MIT" ]

5

2016-02-05T08:57:12.000Z

2018-01-15T08:19:43.000Z

# -*- coding: utf-8 -*- """Controllers for the pyjobsweb application."""

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4

68bb9bf8e651ba05247579ea0697c86eccbb5f4c

175

py

Python

run.py

CooperComputationalCaucus/gaussian_io

9986cdaadcb105fd3fc95aca0026f4c572547fa5

[ "MIT" ]

null

run.py

CooperComputationalCaucus/gaussian_io

9986cdaadcb105fd3fc95aca0026f4c572547fa5

[ "MIT" ]

null

run.py

CooperComputationalCaucus/gaussian_io

9986cdaadcb105fd3fc95aca0026f4c572547fa5

[ "MIT" ]

null

from gaussian_io import read_out output_test = read_out('./gaussian_io/test/output_std.out') output_test.parser_optimisation() a = output_test.get_opt_step(step=1) print('')

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629

py

Python

clients/python/client.py

cdrappi/rnr

9cb64cbf4fbaf866e3289ce51fc1b799bd918799

[ "Apache-2.0" ]

1

2020-02-08T03:52:00.000Z

clients/python/client.py

cdrappi/caucus

742e95906d0fda375f72bb8db15e359893a4d675

[ "Apache-2.0" ]

4

2021-03-10T06:58:04.000Z

2022-02-26T23:22:51.000Z

clients/python/client.py

cdrappi/caucus

742e95906d0fda375f72bb8db15e359893a4d675

[ "Apache-2.0" ]

null

import os import requests api_host = os.environ['API_HOST'] class Client: def __init__(self, jwt: str): self.jwt = jwt def get_index(): return requests.get(url=f'{api_host}') def _login(password: str, **login): return requests.post( url=f'{api_host}/', json={'password': password, **login} ) def login_with_username(username: str, password: str): return _login(password, username=username) def login_with_email(email: str, password: str): return _login(password, email=email) def login_with_phone(phone: str, password: str): return _login(password, phone=phone)

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6b4d7c423c90495f9b76063404a6481be8f18c27

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py

Python

fatf/utils/data/__init__.py

So-Cool/fat-forensics

6fa252a1d90fe543242ef030a5f8a3f9c9f692fe

[ "BSD-3-Clause" ]

48

2019-09-12T04:54:48.000Z

2022-02-27T01:49:55.000Z

fatf/utils/data/__init__.py

So-Cool/fat-forensics

6fa252a1d90fe543242ef030a5f8a3f9c9f692fe

[ "BSD-3-Clause" ]

4

2019-11-04T00:01:15.000Z

2021-01-27T16:35:29.000Z

fatf/utils/data/__init__.py

So-Cool/fat-forensics

6fa252a1d90fe543242ef030a5f8a3f9c9f692fe

[ "BSD-3-Clause" ]

11

2019-09-17T13:39:43.000Z

2021-07-27T11:04:33.000Z

""" The :mod:`fatf.utils.data` module holds data tools and data sets. """ # Author: Kacper Sokol <k.sokol@bristol.ac.uk> # License: new BSD

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6b6f41e6bc2d788119fc9d347b5bce8491a79913

114

py

Python

eagr/server/__init__.py

kensho-technologies/eagr

fc4a2ec21d22ebc753e194e5644fbbad1ae44dda

[ "Apache-2.0" ]

14

2020-03-05T20:25:04.000Z

2021-12-18T02:38:33.000Z

eagr/server/__init__.py

kensho-technologies/eagr

fc4a2ec21d22ebc753e194e5644fbbad1ae44dda

[ "Apache-2.0" ]

4

2020-05-21T15:02:57.000Z

2020-12-03T12:54:20.000Z

eagr/server/__init__.py

kensho-technologies/eagr

fc4a2ec21d22ebc753e194e5644fbbad1ae44dda

[ "Apache-2.0" ]

1

2020-08-07T23:13:31.000Z

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null

0

1

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1

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6b779d103c95f111df0f13f860d47a5a6feb93ed

58

py

Python

paraguay/community.py

PythonParaguay/paraguay

201ffed271a1f3c83ac6e4bd29b0688946968a2a

[ "MIT" ]

4

2018-05-31T01:55:13.000Z

2018-06-09T12:54:46.000Z

paraguay/community.py

PythonParaguay/paraguay

201ffed271a1f3c83ac6e4bd29b0688946968a2a

[ "MIT" ]

null

paraguay/community.py

PythonParaguay/paraguay

201ffed271a1f3c83ac6e4bd29b0688946968a2a

[ "MIT" ]

1

2018-06-08T21:35:13.000Z

import webbrowser webbrowser.open("https://pythonpy.org")

19.333333

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6b7df59b71f32cfe9b2419fc9dda661dbc523a03

133

py

Python

setup.py

ejwilson3/qsearch

9f966db0f3d54fdaff15f1dd7a0e1d28de55b1b4

[ "BSD-3-Clause-LBNL" ]

20

2020-11-16T17:07:31.000Z

2022-01-26T11:00:26.000Z

setup.py

WolfLink/search_compiler

efbc02717600beaa083d3afb9b94e34264f637d7

[ "BSD-3-Clause-LBNL" ]

11

2020-10-14T17:37:09.000Z

2022-01-13T02:32:14.000Z

setup.py

WolfLink/search_compiler

efbc02717600beaa083d3afb9b94e34264f637d7

[ "BSD-3-Clause-LBNL" ]

6

2021-04-09T22:38:40.000Z

2022-03-13T07:49:40.000Z

from setuptools import setup from pathlib import Path README = Path('README.md').read_text() setup( long_description=README, )

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6b7e26a7479611784c19c367132fa760d31510d7

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py

Python

cav_box/kafka/src/client.py

itabrl/cav-education

70a359d0ef604de3ddf48fcb1e72e28039a51cf0

[ "Apache-2.0" ]

null

cav_box/kafka/src/client.py

itabrl/cav-education

70a359d0ef604de3ddf48fcb1e72e28039a51cf0

[ "Apache-2.0" ]

null

cav_box/kafka/src/client.py

itabrl/cav-education

70a359d0ef604de3ddf48fcb1e72e28039a51cf0

[ "Apache-2.0" ]

null

#!/usr/bin/env python import socket import binascii as ba from binascii import hexlify, unhexlify TCP_IP = '127.0.0.1' TCP_PORT = 8882 BUFFER_SIZE = 1024 # sample BSMs: select one for testing # txt=b"001480CF4B950C400022D2666E923D1EA6D4E28957BD55FFFFF001C758FD7E67D07F7FFF8000000002020218E1C1004A40196FBC042210115C030EF1408801021D4074CE7E1848101C5C0806E8E1A50101A84056EE8A1AB4102B840A9ADA21B9010259C08DEE1C1C560FFDDBFC070C0222210018BFCE309623120FFE9BFBB10C8238A0FFDC3F987114241610009BFB7113024780FFAC3F95F13A26800FED93FDD51202C5E0FE17BF9B31202FBAFFFEC87FC011650090019C70808440C83207873800000000001095084081C903447E31C12FC0" txt=b"0014251d59d162dad7de266e9a7d1ea6d4220974ffffffff8ffff080fdfa1fa1007fff0000640fa0" # txt=b"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" hexed = hexlify(txt) print(hexed) s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) s.connect((TCP_IP, TCP_PORT)) s.send(hexed) data = s.recv(BUFFER_SIZE) s.close() print("received data:", data)

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6b944d3a4924ec77fe9d8ae602cfd5401958c63b

1,643

py

Python

tools/pythonpkg/tests/fast/pandas/test_same_name.py

AldoMyrtaj/duckdb

3aa4978a2ceab8df25e4b20c388bcd7629de73ed

[ "MIT" ]

2,816

2018-06-26T18:52:52.000Z

2021-04-06T10:39:15.000Z

tools/pythonpkg/tests/fast/pandas/test_same_name.py

AldoMyrtaj/duckdb

3aa4978a2ceab8df25e4b20c388bcd7629de73ed

[ "MIT" ]

1,310

2021-04-06T16:04:52.000Z

2022-03-31T13:52:53.000Z

tools/pythonpkg/tests/fast/pandas/test_same_name.py

AldoMyrtaj/duckdb

3aa4978a2ceab8df25e4b20c388bcd7629de73ed

[ "MIT" ]

270

2021-04-09T06:18:28.000Z

2022-03-31T11:55:37.000Z

import pytest import duckdb import pandas as pd class TestMultipleColumnsSameName(object): def test_multiple_columns_with_same_name(self, duckdb_cursor): df = pd.DataFrame({'a': [1, 2, 3, 4], 'b': [5, 6, 7, 8], 'd': [9, 10, 11, 12]}) df = df.rename(columns={ df.columns[1]: "a" }) df_original = df.copy(True) con = duckdb.connect() con.register('df_view', df) assert con.execute("DESCRIBE df_view;").fetchall() == [('a', 'BIGINT', 'YES', None, None, None), ('a_1', 'BIGINT', 'YES', None, None, None), ('d', 'BIGINT', 'YES', None, None, None)] assert con.execute("select a_1 from df_view;").fetchall() == [(5,), (6,), (7,), (8,)] assert con.execute("select a from df_view;").fetchall() == [(1,), (2,), (3,), (4,)] # Verify we are not changing original dataframe assert df_original.equals(df) def test_multiple_columns_with_same_name_2(self, duckdb_cursor): df = pd.DataFrame({'a': [1, 2, 3, 4], 'b': [5, 6, 7, 8], 'a_1': [9, 10, 11, 12]}) df = df.rename(columns={ df.columns[1]: "a_1" }) con = duckdb.connect() con.register('df_view', df) assert con.execute("DESCRIBE df_view;").fetchall() == [('a', 'BIGINT', 'YES', None, None, None), ('a_1', 'BIGINT', 'YES', None, None, None), ('a_1_1', 'BIGINT', 'YES', None, None, None)] assert con.execute("select a_1 from df_view;").fetchall() == [(5,), (6,), (7,), (8,)] assert con.execute("select a from df_view;").fetchall() == [(1,), (2,), (3,), (4,)] assert con.execute("select a_1_1 from df_view;").fetchall() == [(9,), (10,), (11,), (12,)]

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6ba6d233f2a02f123e16a975a2e196346ec7e6e6

100

py

Python

level-3/task-1/task-1-3-2.py

avedensky/python-rush-tasks

61410816dbb55cce3b518f8d76799c01cdec2aa9

[ "MIT" ]

14

2019-06-13T09:55:25.000Z

2022-03-19T15:12:36.000Z

level-3/task-1/task-1-3-2.py

avedensky/python-rush-tasks

61410816dbb55cce3b518f8d76799c01cdec2aa9

[ "MIT" ]

1

2021-09-26T16:00:51.000Z

level-3/task-1/task-1-3-2.py

avedensky/python-rush-tasks

61410816dbb55cce3b518f8d76799c01cdec2aa9

[ "MIT" ]

4

2020-12-12T16:50:31.000Z

2022-02-08T12:16:11.000Z

#!/usr/bin/env python3 #coding: utf-8 """ pythonic way """ print(input('Введите строку:')[::-1])

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6bac5606c3c9ed36b783d891398d576cb9f72534

841

py

Python

haul/settings.py

dojekyll/haul

234024ab8452ea2f41b18561377295cf2879fb20

[ "MIT" ]

89

2017-01-20T04:27:00.000Z

2021-11-17T11:02:12.000Z

haul/settings.py

Python3pkg/haul

765c22bd69316037534a7bf36b3033b75f7a0682

[ "MIT" ]

1

2015-09-23T19:07:50.000Z

haul/settings.py

Python3pkg/haul

765c22bd69316037534a7bf36b3033b75f7a0682

[ "MIT" ]

23

2015-04-27T22:45:09.000Z

2017-01-08T10:35:17.000Z

# coding: utf-8 # http://www.crummy.com/software/BeautifulSoup/bs4/doc/#installing-a-parser DEFAULT_PARSER = 'lxml' ALLOWED_CONTENT_TYPES = [ 'text/html', 'image/', ] FINDER_PIPELINE = ( 'haul.finders.pipeline.html.img_src_finder', 'haul.finders.pipeline.html.a_href_finder', 'haul.finders.pipeline.css.background_image_finder', ) EXTENDER_PIPELINE = ( 'haul.extenders.pipeline.google.blogspot_s1600_extender', 'haul.extenders.pipeline.google.ggpht_s1600_extender', 'haul.extenders.pipeline.google.googleusercontent_s1600_extender', 'haul.extenders.pipeline.pinterest.original_image_extender', 'haul.extenders.pipeline.wordpress.original_image_extender', 'haul.extenders.pipeline.tumblr.media_1280_extender', 'haul.extenders.pipeline.tumblr.avatar_128_extender', ) SHOULD_JOIN_URL = True

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6bc5277d42ea4edf7392e67651edf7913bd6701b

97

py

Python

chimericPKS/apps.py

xingyifei2016/clusterCAD

fb139edc90e3b963ac6bfc9f6890f0a4e4f356d6

[ "BSD-3-Clause-LBNL" ]

null

chimericPKS/apps.py

xingyifei2016/clusterCAD

fb139edc90e3b963ac6bfc9f6890f0a4e4f356d6

[ "BSD-3-Clause-LBNL" ]

null

chimericPKS/apps.py

xingyifei2016/clusterCAD

fb139edc90e3b963ac6bfc9f6890f0a4e4f356d6

[ "BSD-3-Clause-LBNL" ]

null

from django.apps import AppConfig class ChimericpksConfig(AppConfig): name = 'chimericPKS'

16.166667

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6bf51f1d85ee4a9b48518f581cfb5e0b51ffb57d

255

py

Python

solutions-geoevent/processors/visibility-processor/geoprocessing/visibility/Toolshare/scripts/Shared/srConfig.py

brysageek/solutions-geoevent-java

e931cf0926e743b8edcbf4e8fb4f43a51e2dfa8b

[ "Apache-2.0" ]

34

2015-01-22T19:14:24.000Z

2022-03-03T12:59:40.000Z

solutions-geoevent/processors/visibility-processor/geoprocessing/visibility/Toolshare/scripts/Shared/srConfig.py

brysageek/solutions-geoevent-java

e931cf0926e743b8edcbf4e8fb4f43a51e2dfa8b

[ "Apache-2.0" ]

55

2015-02-25T13:16:21.000Z

2021-06-04T01:00:20.000Z

solutions-geoevent/processors/visibility-processor/geoprocessing/visibility/Toolshare/scripts/Shared/srConfig.py

brysageek/solutions-geoevent-java

e931cf0926e743b8edcbf4e8fb4f43a51e2dfa8b

[ "Apache-2.0" ]

43

2015-01-15T12:37:12.000Z

2022-01-30T20:38:44.000Z

wkidInfo = { '4326':{'type':'gcs', 'path':'World/WGS 1984.prj'}, '102100':{'type':'pcs', 'path':r'World/WGS 1984 Web Mercator (auxiliary sphere).prj'}, '3857' : {'type':'pcs', 'path':r'World/WGS 1984 Web Mercator (auxiliary sphere).prj'} }

51

90

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4.4

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1

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6bf8f2a6d30cdab62d5e490b8341e790bbe2c46b

128

py

Python

save.py

guilhermevieira98/IMDb-Scraping

d31b7c8d4b159ba3fb97ce1acee5e4a52a787b43

[ "MIT" ]

1

2020-12-09T00:56:24.000Z

save.py

gahmasec/IMDb-Scraping

d31b7c8d4b159ba3fb97ce1acee5e4a52a787b43

[ "MIT" ]

null

save.py

gahmasec/IMDb-Scraping

d31b7c8d4b159ba3fb97ce1acee5e4a52a787b43

[ "MIT" ]

null

import subprocess with open("output.txt", "w+") as output: subprocess.call(["python", "./imdb-list.py"], stdout=output);

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null

0

1

0

null

0

1

0

1

0

4

6bfd8c90a78b2eba3fb6430effcf030cf755b748

889

py

Python

python/django_projects/memory/memoryApp/migrations/0003_auto_20180607_0853.py

quasarbright/quasarbright.github.io

942710adf4a2531d033023a6f750efeddf3e9050

[ "MIT" ]

1

2021-01-23T13:50:34.000Z

python/django_projects/memory/memoryApp/migrations/0003_auto_20180607_0853.py

quasarbright/quasarbright.github.io

942710adf4a2531d033023a6f750efeddf3e9050

[ "MIT" ]

40

2018-02-19T19:37:24.000Z

2022-03-25T18:34:22.000Z

python/django_projects/memory/memoryApp/migrations/0003_auto_20180607_0853.py

quasarbright/quasarbright.github.io

942710adf4a2531d033023a6f750efeddf3e9050

[ "MIT" ]

1

2018-12-07T03:07:21.000Z

# Generated by Django 2.0.3 on 2018-06-07 12:53 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('memoryApp', '0002_remove_eventtag_event'), ] operations = [ migrations.RemoveField( model_name='event', name='date', ), migrations.RemoveField( model_name='event', name='description', ), migrations.RemoveField( model_name='event', name='importance', ), migrations.RemoveField( model_name='event', name='location', ), migrations.RemoveField( model_name='event', name='name', ), migrations.RemoveField( model_name='eventlink', name='event', ), ]

23.394737

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889

6.128571

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0.363636

0.41958

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0.035514

0.3982

889

37

54

24.027027

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0.16129

0

null

1

0

1

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null

0

4

d42de603091b2b2408f169c71138037acdf6060b

109

py

Python

recipe/run_test.py

conda-forge/gst-python-feedstock

a6c68938e9723a30c2c1fcedb82d9d85b50ba7ff

[ "BSD-3-Clause" ]

null

recipe/run_test.py

conda-forge/gst-python-feedstock

a6c68938e9723a30c2c1fcedb82d9d85b50ba7ff

[ "BSD-3-Clause" ]

20

2019-01-23T09:52:55.000Z

2022-03-14T18:19:59.000Z

recipe/run_test.py

conda-forge/gst-python-feedstock

a6c68938e9723a30c2c1fcedb82d9d85b50ba7ff

[ "BSD-3-Clause" ]

2

2019-01-23T09:42:00.000Z

2020-11-15T17:21:47.000Z

import gi gi.require_version('Gst', '1.0') from gi.repository import Gst print(Gst.Fraction(num=3, denom=5))

21.8

35

0.743119

20

109

4

0.75

0

0.040404

0.091743

109

4

36

27.25

0.767677

0

0.055046

0

1

0

true

0

0.5

0

0.5

0.25

1

0

null

0

1

0

null

0

1

0

1

0

4

d4319c31eaa591a3fc7f8926ac9f39e788629c04

136

py

Python

restcord/models/voice.py

Doezer/Restcord

5a21737635744b0fe1790516fa03f6ddc35b48bc

[ "MIT" ]

null

restcord/models/voice.py

Doezer/Restcord

5a21737635744b0fe1790516fa03f6ddc35b48bc

[ "MIT" ]

1

2018-09-21T17:40:12.000Z

2018-10-02T08:00:36.000Z

restcord/models/voice.py

Doezer/Restcord

5a21737635744b0fe1790516fa03f6ddc35b48bc

[ "MIT" ]

2

2022-01-20T07:44:42.000Z

2022-01-24T09:33:58.000Z

from enum import Enum import json CDN_URL = "https://cdn.discordapp.com/" import logging logger = logging.getLogger() # VOICE SECTION

15.111111

39

0.757353

19

136

5.368421

0.736842

0.196078

0

0.139706

136

8

40

17

0.871795

0.095588

0

0.223141

0

1

0

false

0

0.6

0

0.6

0

1

0

null

0

1

0

null

0

1

0

1

0

4

00fcfa6489a3f32bbf455d13f291b10341acea55

117

py

Python

codeforces/problemset/1/1A.py

liuyang1/test

a4560e0c9ffd0bc054d55bbcf12a894ab5b7d417

[ "MIT" ]

8

2015-06-07T13:25:48.000Z

2022-03-22T23:14:50.000Z

codeforces/problemset/1/1A.py

liuyang1/test

a4560e0c9ffd0bc054d55bbcf12a894ab5b7d417

[ "MIT" ]

30

2016-01-29T01:36:41.000Z

2018-09-19T07:01:22.000Z

codeforces/problemset/1/1A.py

liuyang1/test

a4560e0c9ffd0bc054d55bbcf12a894ab5b7d417

[ "MIT" ]

null

line = input() d = [int(a) for a in line.split()] import math print(math.ceil(d[0] / d[2]) * math.ceil(d[1] / d[2]))

23.4

54

0.581197

25

117

2.72

0.6

0.235294

0.264706

0

0.040816

0.162393

117

4

55

29.25

0.653061

0

1

0

false

0

0.25

0

0.25

1

0

null

1

0

1

0

null

0

4

2e35115c094a6e89d8076b9be1c34e10cfc46fda

91

py

Python

blog-note/mineBlog/showBlog/apps.py

jiangwenfan/pythonScripts

c9004944f162af575e111522f98d4de4f59885e6

[ "Apache-2.0" ]

null

blog-note/mineBlog/showBlog/apps.py

jiangwenfan/pythonScripts

c9004944f162af575e111522f98d4de4f59885e6

[ "Apache-2.0" ]

null

blog-note/mineBlog/showBlog/apps.py

jiangwenfan/pythonScripts

c9004944f162af575e111522f98d4de4f59885e6

[ "Apache-2.0" ]

null

from django.apps import AppConfig class ShowblogConfig(AppConfig): name = 'showBlog'

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0.758242

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91

6.9

0.9

0

0.164835

91

5

34

18.2

0.907895

0

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0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

2e46dfa453bd831023a7ade24906eb173a80c074

306

py

Python

aula3cap2.py

asalesg/python

885ff5fae1e685424863286082fbe49ca5f4efe7

[ "MIT" ]

null

aula3cap2.py

asalesg/python

885ff5fae1e685424863286082fbe49ca5f4efe7

[ "MIT" ]

null

aula3cap2.py

asalesg/python

885ff5fae1e685424863286082fbe49ca5f4efe7

[ "MIT" ]

null

rm = input("Insira seu RM") idade = input("Insira sua idade") if int(idade) >= 18: print("Sua participação foi autorizada, aluno de RM {}!".format(rm)) print("Mais informações serão enviadas para seu e-mail cadastrado!") else: print("Sua participação não foi autorizada por causa da sua idade")

43.714286

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0.70915

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306

4.717391

0.630435

0.101382

0.184332

0

0.007874

0.169935

306

7

73

43.714286

0.846457

0

0.631922

0

1

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false

0

0.428571

0

null

0

1

0

1

0

1

0

null

0

1

0

4

2e55adf718a494eb5bd28f83e0924773d544777d

81

py

Python

src/services/base.py

Jaysins/covid-19-estimator-py

6161cf1398b992d832451958d04bc5a69102c82f

[ "MIT" ]

null

src/services/base.py

Jaysins/covid-19-estimator-py

6161cf1398b992d832451958d04bc5a69102c82f

[ "MIT" ]

null

src/services/base.py

Jaysins/covid-19-estimator-py

6161cf1398b992d832451958d04bc5a69102c82f

[ "MIT" ]

null

# coding=utf-8 """ BASE FILE, MOST TIMES A NECESSITY, BUT WHEN NO USE, NO USE """

20.25

58

0.666667

15

81

3.6

0.866667

0.185185

0

0.015152

0.185185

81

4

59

20.25

0.80303

0.888889

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

2e8fdba70dbec5a4b5861be7a03c8e3bffe4930e

2,171

py

Python

hubspot/crm/timeline/models/__init__.py

Ronfer/hubspot-api-python

1c87274ecbba4aa3c7728f890ccc6e77b2b6d2e4

[ "Apache-2.0" ]

117

2020-04-06T08:22:53.000Z

2022-03-18T03:41:29.000Z

hubspot/crm/timeline/models/__init__.py

Ronfer/hubspot-api-python

1c87274ecbba4aa3c7728f890ccc6e77b2b6d2e4

[ "Apache-2.0" ]

62

2020-04-06T16:21:06.000Z

2022-03-17T16:50:44.000Z

hubspot/crm/timeline/models/__init__.py

Ronfer/hubspot-api-python

1c87274ecbba4aa3c7728f890ccc6e77b2b6d2e4

[ "Apache-2.0" ]

45

2020-04-06T16:13:52.000Z

2022-03-30T21:33:17.000Z

# coding: utf-8 # flake8: noqa """ Timeline events This feature allows an app to create and configure custom events that can show up in the timelines of certain CRM objects like contacts, companies, tickets, or deals. You'll find multiple use cases for this API in the sections below. # noqa: E501 The version of the OpenAPI document: v3 Generated by: https://openapi-generator.tech """ from __future__ import absolute_import # import models into model package from hubspot.crm.timeline.models.batch_input_timeline_event import BatchInputTimelineEvent from hubspot.crm.timeline.models.batch_response_timeline_event_response import BatchResponseTimelineEventResponse from hubspot.crm.timeline.models.batch_response_timeline_event_response_with_errors import BatchResponseTimelineEventResponseWithErrors from hubspot.crm.timeline.models.collection_response_timeline_event_template_no_paging import CollectionResponseTimelineEventTemplateNoPaging from hubspot.crm.timeline.models.error import Error from hubspot.crm.timeline.models.error_category import ErrorCategory from hubspot.crm.timeline.models.error_detail import ErrorDetail from hubspot.crm.timeline.models.event_detail import EventDetail from hubspot.crm.timeline.models.standard_error import StandardError from hubspot.crm.timeline.models.timeline_event import TimelineEvent from hubspot.crm.timeline.models.timeline_event_i_frame import TimelineEventIFrame from hubspot.crm.timeline.models.timeline_event_response import TimelineEventResponse from hubspot.crm.timeline.models.timeline_event_template import TimelineEventTemplate from hubspot.crm.timeline.models.timeline_event_template_create_request import TimelineEventTemplateCreateRequest from hubspot.crm.timeline.models.timeline_event_template_token import TimelineEventTemplateToken from hubspot.crm.timeline.models.timeline_event_template_token_option import TimelineEventTemplateTokenOption from hubspot.crm.timeline.models.timeline_event_template_token_update_request import TimelineEventTemplateTokenUpdateRequest from hubspot.crm.timeline.models.timeline_event_template_update_request import TimelineEventTemplateUpdateRequest

62.028571

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0.877015

268

2,171

6.895522

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0.107143

0.136364

0.214286

0.417749

0.372294

0.300866

0.234307

0.154762

0.0671

0

0.002996

0.077384

2,171

34

252

63.852941

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0.189314

0

1

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true

0

1

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1

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null

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null

0

1

0

1

0

1

0

4

5cffc21ab29aed67a0c16ff13358da8f0e2d6ced

193

py

Python

apricot/__init__.py

domoritz/apricot

6dff8d08dee9145ec6c7e3e79d77efa0bbf19474

[ "MIT" ]

null

apricot/__init__.py

domoritz/apricot

6dff8d08dee9145ec6c7e3e79d77efa0bbf19474

[ "MIT" ]

null

apricot/__init__.py

domoritz/apricot

6dff8d08dee9145ec6c7e3e79d77efa0bbf19474

[ "MIT" ]

null

# __init__.py # Author: Jacob Schreiber <jmschreiber91@gmail.com> from .featureBased import FeatureBasedSelection from .facilityLocation import FacilityLocationSelection __version__ = '0.3.0'

27.571429

55

0.823834

20

193

7.55

0.85

0

0.028736

0.098446

193

7

56

27.571429

0.83908

0.316062

0

0.038462

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

cf29f2558f8e5b8a4b1d49a417c54244acd83a52

4,646

py

Python

etl/parsers/etw/Microsoft_Windows_UserDataAccess_UserDataUtils.py

IMULMUL/etl-parser

76b7c046866ce0469cd129ee3f7bb3799b34e271

[ "Apache-2.0" ]

104

2020-03-04T14:31:31.000Z

2022-03-28T02:59:36.000Z

etl/parsers/etw/Microsoft_Windows_UserDataAccess_UserDataUtils.py

IMULMUL/etl-parser

76b7c046866ce0469cd129ee3f7bb3799b34e271

[ "Apache-2.0" ]

7

2020-04-20T09:18:39.000Z

2022-03-19T17:06:19.000Z

etl/parsers/etw/Microsoft_Windows_UserDataAccess_UserDataUtils.py

IMULMUL/etl-parser

76b7c046866ce0469cd129ee3f7bb3799b34e271

[ "Apache-2.0" ]

16

2020-03-05T18:55:59.000Z

2022-03-01T10:19:28.000Z

# -*- coding: utf-8 -*- """ Microsoft-Windows-UserDataAccess-UserDataUtils GUID : d1f688bf-012f-4aec-a38c-e7d4649f8cd2 """ from construct import Int8sl, Int8ul, Int16ul, Int16sl, Int32sl, Int32ul, Int64sl, Int64ul, Bytes, Double, Float32l, Struct from etl.utils import WString, CString, SystemTime, Guid from etl.dtyp import Sid from etl.parsers.etw.core import Etw, declare, guid @declare(guid=guid("d1f688bf-012f-4aec-a38c-e7d4649f8cd2"), event_id=1, version=0) class Microsoft_Windows_UserDataAccess_UserDataUtils_1_0(Etw): pattern = Struct( "P1_HResult" / Int32sl, "P2_String" / CString, "P3_UInt32" / Int32ul ) @declare(guid=guid("d1f688bf-012f-4aec-a38c-e7d4649f8cd2"), event_id=2, version=0) class Microsoft_Windows_UserDataAccess_UserDataUtils_2_0(Etw): pattern = Struct( "P1_HResult" / Int32sl, "P2_String" / CString, "P3_UInt32" / Int32ul ) @declare(guid=guid("d1f688bf-012f-4aec-a38c-e7d4649f8cd2"), event_id=3, version=0) class Microsoft_Windows_UserDataAccess_UserDataUtils_3_0(Etw): pattern = Struct( "Message" / Int64ul ) @declare(guid=guid("d1f688bf-012f-4aec-a38c-e7d4649f8cd2"), event_id=101, version=0) class Microsoft_Windows_UserDataAccess_UserDataUtils_101_0(Etw): pattern = Struct( "Prop_LINE_UInt32" / Int32ul, "Prop_Trace_UnicodeString" / WString ) @declare(guid=guid("d1f688bf-012f-4aec-a38c-e7d4649f8cd2"), event_id=102, version=0) class Microsoft_Windows_UserDataAccess_UserDataUtils_102_0(Etw): pattern = Struct( "Prop_Trace_UnicodeString" / WString ) @declare(guid=guid("d1f688bf-012f-4aec-a38c-e7d4649f8cd2"), event_id=103, version=0) class Microsoft_Windows_UserDataAccess_UserDataUtils_103_0(Etw): pattern = Struct( "Prop_Trace_UnicodeString" / WString ) @declare(guid=guid("d1f688bf-012f-4aec-a38c-e7d4649f8cd2"), event_id=104, version=0) class Microsoft_Windows_UserDataAccess_UserDataUtils_104_0(Etw): pattern = Struct( "Prop_Trace_UnicodeString" / WString ) @declare(guid=guid("d1f688bf-012f-4aec-a38c-e7d4649f8cd2"), event_id=105, version=0) class Microsoft_Windows_UserDataAccess_UserDataUtils_105_0(Etw): pattern = Struct( "P1_UnicodeString" / WString, "P1_UInt32" / Int32ul ) @declare(guid=guid("d1f688bf-012f-4aec-a38c-e7d4649f8cd2"), event_id=106, version=0) class Microsoft_Windows_UserDataAccess_UserDataUtils_106_0(Etw): pattern = Struct( "P1_UnicodeString" / WString, "P1_UInt32" / Int32ul ) @declare(guid=guid("d1f688bf-012f-4aec-a38c-e7d4649f8cd2"), event_id=107, version=0) class Microsoft_Windows_UserDataAccess_UserDataUtils_107_0(Etw): pattern = Struct( "P1_UnicodeString" / WString, "P1_UInt32" / Int32ul ) @declare(guid=guid("d1f688bf-012f-4aec-a38c-e7d4649f8cd2"), event_id=301, version=0) class Microsoft_Windows_UserDataAccess_UserDataUtils_301_0(Etw): pattern = Struct( "P1_HexInt32" / Int32sl, "Prop_Handle" / Int32ul, "Prop_Handle2" / Int32ul ) @declare(guid=guid("d1f688bf-012f-4aec-a38c-e7d4649f8cd2"), event_id=401, version=0) class Microsoft_Windows_UserDataAccess_UserDataUtils_401_0(Etw): pattern = Struct( "P1_UnicodeString" / WString ) @declare(guid=guid("d1f688bf-012f-4aec-a38c-e7d4649f8cd2"), event_id=402, version=0) class Microsoft_Windows_UserDataAccess_UserDataUtils_402_0(Etw): pattern = Struct( "P1_UnicodeString" / WString ) @declare(guid=guid("d1f688bf-012f-4aec-a38c-e7d4649f8cd2"), event_id=501, version=0) class Microsoft_Windows_UserDataAccess_UserDataUtils_501_0(Etw): pattern = Struct( "P1_Int32" / Int32sl ) @declare(guid=guid("d1f688bf-012f-4aec-a38c-e7d4649f8cd2"), event_id=502, version=0) class Microsoft_Windows_UserDataAccess_UserDataUtils_502_0(Etw): pattern = Struct( "P1_Int32" / Int32sl ) @declare(guid=guid("d1f688bf-012f-4aec-a38c-e7d4649f8cd2"), event_id=600, version=0) class Microsoft_Windows_UserDataAccess_UserDataUtils_600_0(Etw): pattern = Struct( "P1_Int32" / Int32sl ) @declare(guid=guid("d1f688bf-012f-4aec-a38c-e7d4649f8cd2"), event_id=601, version=0) class Microsoft_Windows_UserDataAccess_UserDataUtils_601_0(Etw): pattern = Struct( "P1_UnicodeString" / WString, "P2_UnicodeString" / WString ) @declare(guid=guid("d1f688bf-012f-4aec-a38c-e7d4649f8cd2"), event_id=602, version=0) class Microsoft_Windows_UserDataAccess_UserDataUtils_602_0(Etw): pattern = Struct( "P1_HexInt32" / Int32sl, "P2_HexInt32" / Int32sl )

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cf3d54836d77fd84d53ce2be0ef4a967b2d85516

157

py

Python

dkr-py310/docker-student-portal-310/course_files/begin_advanced/py_logging_secondary.py

pbarton666/virtual_classroom

a9d0dc2eb16ebc4d2fd451c3a3e6f96e37c87675

[ "MIT" ]

null

dkr-py310/docker-student-portal-310/course_files/begin_advanced/py_logging_secondary.py

pbarton666/virtual_classroom

a9d0dc2eb16ebc4d2fd451c3a3e6f96e37c87675

[ "MIT" ]

null

dkr-py310/docker-student-portal-310/course_files/begin_advanced/py_logging_secondary.py

pbarton666/virtual_classroom

a9d0dc2eb16ebc4d2fd451c3a3e6f96e37c87675

[ "MIT" ]

null

#py_logging_secondary.py import logging import py_logging_main #from main import logger_object logging.getLogger("logger") logging.debug("secondary here")

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py

Python

api/view/__init__.py

pengtianabc/sanic-app

5c9327151871a11972cc03dbe61576601703789e

[ "MIT" ]

null

api/view/__init__.py

pengtianabc/sanic-app

5c9327151871a11972cc03dbe61576601703789e

[ "MIT" ]

null

api/view/__init__.py

pengtianabc/sanic-app

5c9327151871a11972cc03dbe61576601703789e

[ "MIT" ]

null

# file: api/handler/__init__.py from .my_view import views as my_view # export for parent views = [] views.extend(my_view)

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null

0

1

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cf7582413e784d08825c5a7f0302471b067e42be

1,128

py

Python

app/controllers/forms/recover.py

zhenyit/mask_detection

c381e262118ee06a5f6c3d48ce885972ccde217e

[ "MIT" ]

1

2021-02-21T12:07:04.000Z

app/controllers/forms/recover.py

zhenyit/mask_detection

c381e262118ee06a5f6c3d48ce885972ccde217e

[ "MIT" ]

null

app/controllers/forms/recover.py

zhenyit/mask_detection

c381e262118ee06a5f6c3d48ce885972ccde217e

[ "MIT" ]

null

from flask_wtf import FlaskForm from wtforms import StringField, SubmitField, PasswordField from wtforms.validators import DataRequired, EqualTo, InputRequired class SearchAccountForm(FlaskForm): username = StringField( 'Username', validators=[ DataRequired(), ] ) search = SubmitField('Search') class ResetPasswordForm(FlaskForm): new_password = PasswordField( 'New Password', validators=[ DataRequired() ] ) confirm = PasswordField( 'Confirm New Password', validators=[ DataRequired() ] ) submit = SubmitField('Change password') class ChangePasswordForm(FlaskForm): old_password = PasswordField( 'Old Password', validators=[ DataRequired(), ] ) new_password = PasswordField( 'New Password', validators=[ DataRequired() ] ) confirm = PasswordField( 'Confirm New Password', validators=[ DataRequired() ] ) submit = SubmitField('Change password')

21.692308

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cf889aa7e4bc85314157fc83151bc3000e099785

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py

Python

amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/evaluation/__init__.py

rodzanto/amazon-sagemaker-pytorch-detectron2

4bdf47705bd949502de0cc8721ba20fb630699c1

[ "MIT-0" ]

22

2021-03-25T14:16:28.000Z

2022-03-29T14:42:23.000Z

amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/evaluation/__init__.py

rodzanto/amazon-sagemaker-pytorch-detectron2

4bdf47705bd949502de0cc8721ba20fb630699c1

[ "MIT-0" ]

7

2021-04-16T21:00:28.000Z

2022-03-25T08:19:30.000Z

amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/evaluation/__init__.py

rodzanto/amazon-sagemaker-pytorch-detectron2

4bdf47705bd949502de0cc8721ba20fb630699c1

[ "MIT-0" ]

10

2021-04-03T08:11:28.000Z

2022-03-16T06:35:25.000Z

"""Coco Style Evaluation"""

14

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4

d85d64db0146b78e82eea6836572eeb6975e0951

2,523

py

Python

fmriprep/workflows/fieldmap/__init__.py

ericearl/fmriprep

0d604af52ddaa3517d199e437c2347381310d044

[ "BSD-3-Clause" ]

null

fmriprep/workflows/fieldmap/__init__.py

ericearl/fmriprep

0d604af52ddaa3517d199e437c2347381310d044

[ "BSD-3-Clause" ]

null

fmriprep/workflows/fieldmap/__init__.py

ericearl/fmriprep

0d604af52ddaa3517d199e437c2347381310d044

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*- # vi: set ft=python sts=4 ts=4 sw=4 et: """ .. figure:: _static/unwarping.svg :scale: 100% Applying field correction warp using ANTs. One of the major problems that affects :abbr:`EPI (echo planar imaging)` data is the spatial distortion caused by the inhomogeneity of the field inside the scanner. The are four broad families of methodologies for mapping the field: * **Phase-difference techniques**: to estimate the fieldmap, these methods measure the phase evolution in time between two close :abbr:`GRE (Gradient Recall Echo)` acquisitions. Corresponds to the sections 8.9.1 and 8.9.2 of the BIDS specification. * **Direct field-mapping**: some sequences (such as :abbr:`SE (spiral echo)`) are able to measure the fieldmap directly. Corresponds to section 8.9.3 of BIDS. * **Blip-up/blip-down or phase encoding polarity**: :abbr:`pepolar (Phase Encoding POLARity)`: techniques acquire at least two images distorted due to the inhomogeneity of the field, but varying in :abbr:`PE (phase-encoding)` direction. Corresponds to 8.9.4 of BIDS. * **Point-spread function acquisition**: Not supported by FMRIPREP. Once the field-map is estimated, the distortion can be accounted for. Fieldmap processing in FMRIPREP is structured as follows: 1. :ref:`sdc-base`: the input BIDS dataset is queried to find the available field-mapping techniques and the appropriate processing workflows are set-up (applies to phase-difference and direct field-mapping techniques). 2. :ref:`sdc-estimation`: all the estimation workflows produce a displacement field ready to be used in the correction step (applies to phase-difference and direct field-mapping techniques). 3. :ref:`sdc-unwarp`: the correction step is applied (for phase encoding polarity this step also involves distortion correction displacement field estimation). If the dataset metadata indicate tha more than one field map acquisition is ``IntendedFor`` (see BIDS Specification section 8.9) the following priority will be used: 1. Blip-up/blip-down 2. Direct field-mapping 3. Phase-difference techniques Additionally, FMRIPREP now experimentally supports displacement field estimation in the absence of fieldmaps. See :ref:`fieldmapless_estimation` for further details. """ from .base import init_fmap_estimator_wf from .unwarp import init_sdc_unwarp_wf

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