xszheng2020/the_stack_dedup_python_hits_3 · Datasets at Hugging Face

6dc9002e1c8726bf117e98e28fc6f0d87fd91549

586

py

Python

src/onegov/core/orm/mixins/__init__.py

politbuero-kampagnen/onegov-cloud

20148bf321b71f617b64376fe7249b2b9b9c4aa9

[ "MIT" ]

null

src/onegov/core/orm/mixins/__init__.py

politbuero-kampagnen/onegov-cloud

20148bf321b71f617b64376fe7249b2b9b9c4aa9

[ "MIT" ]

null

src/onegov/core/orm/mixins/__init__.py

politbuero-kampagnen/onegov-cloud

20148bf321b71f617b64376fe7249b2b9b9c4aa9

[ "MIT" ]

null

from onegov.core.orm.mixins.content import content_property from onegov.core.orm.mixins.content import ContentMixin from onegov.core.orm.mixins.content import data_property from onegov.core.orm.mixins.content import dict_property from onegov.core.orm.mixins.content import meta_property from onegov.core.orm.mixins.publication import UTCPublicationMixin from onegov.core.orm.mixins.timestamp import TimestampMixin __all__ = [ 'content_property', 'ContentMixin', 'data_property', 'dict_property', 'meta_property', 'TimestampMixin', 'UTCPublicationMixin', ]

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6dd7725f149cc8bce539bdb0ae033a7efaefb3bf

207

py

Python

python/DeepSeaSceneLighting/LightUnion.py

akb825/DeepSea

fff790d0a472cf2f9f89de653e0b4470ce605d24

[ "Apache-2.0" ]

5

2018-11-17T23:13:22.000Z

2021-09-30T13:37:04.000Z

python/DeepSeaSceneLighting/LightUnion.py

akb825/DeepSea

fff790d0a472cf2f9f89de653e0b4470ce605d24

[ "Apache-2.0" ]

null

python/DeepSeaSceneLighting/LightUnion.py

akb825/DeepSea

fff790d0a472cf2f9f89de653e0b4470ce605d24

[ "Apache-2.0" ]

2

2019-09-23T12:23:35.000Z

2020-04-07T05:31:06.000Z

# automatically generated by the FlatBuffers compiler, do not modify # namespace: DeepSeaSceneLighting class LightUnion(object): NONE = 0 DirectionalLight = 1 PointLight = 2 SpotLight = 3

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6de61538380253a61838800ac957205f33489f1d

233

py

Python

waliki/slides/urls.py

loganchien/waliki

54d002a566ecee51bdd68aaf63a8f40896b96499

[ "BSD-3-Clause" ]

null

waliki/slides/urls.py

loganchien/waliki

54d002a566ecee51bdd68aaf63a8f40896b96499

[ "BSD-3-Clause" ]

null

waliki/slides/urls.py

loganchien/waliki

54d002a566ecee51bdd68aaf63a8f40896b96499

[ "BSD-3-Clause" ]

null

from django.conf.urls import patterns, url from waliki.settings import WALIKI_SLUG_PATTERN urlpatterns = patterns('waliki.slides.views', url(r'^(?P<slug>' + WALIKI_SLUG_PATTERN + ')/slides$', 'slides', name='waliki_slides'), )

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3

6df21a94ea5ceefc0ff45ddbe6e3170a2414c43e

675

py

Python

ctp/reformulators/__init__.py

Vikicsizmadia/ctp

d88fdfecf4b90ee42e6137a9767226c0d35b19a3

[ "MIT" ]

41

2020-07-14T15:44:20.000Z

2022-03-25T10:33:07.000Z

ctp/reformulators/__init__.py

Vikicsizmadia/ctp

d88fdfecf4b90ee42e6137a9767226c0d35b19a3

[ "MIT" ]

3

2020-12-28T05:57:12.000Z

2022-03-09T01:05:06.000Z

ctp/reformulators/__init__.py

Vikicsizmadia/ctp

d88fdfecf4b90ee42e6137a9767226c0d35b19a3

[ "MIT" ]

12

2020-07-14T22:56:46.000Z

2022-01-17T02:40:10.000Z

# -*- coding: utf-8 -*- from ctp.reformulators.base import BaseReformulator from ctp.reformulators.base import StaticReformulator from ctp.reformulators.base import LinearReformulator from ctp.reformulators.base import AttentiveReformulator from ctp.reformulators.base import MemoryReformulator from ctp.reformulators.base import SymbolicReformulator from ctp.reformulators.base import NTPReformulator from ctp.reformulators.base import GNTPReformulator __all__ = [ 'BaseReformulator', 'StaticReformulator', 'LinearReformulator', 'AttentiveReformulator', 'MemoryReformulator', 'SymbolicReformulator', 'NTPReformulator', 'GNTPReformulator' ]

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6dfd53bc212a07a1dc6b7b151185c5fae815b986

217

py

Python

cajas/investments/api/serializers/investment_serializer.py

dmontoya1/cajas

5eb3d5835250d5dafae398082200b79c1ca8063b

[ "MIT" ]

null

cajas/investments/api/serializers/investment_serializer.py

dmontoya1/cajas

5eb3d5835250d5dafae398082200b79c1ca8063b

[ "MIT" ]

null

cajas/investments/api/serializers/investment_serializer.py

dmontoya1/cajas

5eb3d5835250d5dafae398082200b79c1ca8063b

[ "MIT" ]

null

from rest_framework import serializers from ...models.investment import Investment class InvestmentSerializer(serializers.ModelSerializer): class Meta: model = Investment fields = ('__all__')

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null

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3

0973ff031540e03c02b85c0034de9814315ea6b5

350

py

Python

constants.py

scaleflex/filerobot-migration

bdfb20ffbef6f4cfec87c361e0aae89a5160acc2

[ "MIT" ]

null

constants.py

scaleflex/filerobot-migration

bdfb20ffbef6f4cfec87c361e0aae89a5160acc2

[ "MIT" ]

null

constants.py

scaleflex/filerobot-migration

bdfb20ffbef6f4cfec87c361e0aae89a5160acc2

[ "MIT" ]

null

# Version of the migration tool VERSION = "0.6" LOG_DIR="/var/log" LOG_FILE_PATH="%s/filerobot-migrate.log" % LOG_DIR UPLOADED_UUIDS_PATH="%s/filerobot-migrate-uploaded-uuids.log" % LOG_DIR LOG_FAILED_PATH="%s/filerobot-migrate-failed" % LOG_DIR LOG_RETRY_FAILED_PATH="%s/filerobot-migrate-retry-failed.log" % LOG_DIR DEFAULT_INPUT_FILE="input.tsv"

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097876871c752f3f60a5c501c9911cf25a3cdce0

259

py

Python

tests/action_tests.py

richard-ma/workflow

41fa6d08200436e0545a306234205d83886163b7

[ "MIT" ]

null

tests/action_tests.py

richard-ma/workflow

41fa6d08200436e0545a306234205d83886163b7

[ "MIT" ]

null

tests/action_tests.py

richard-ma/workflow

41fa6d08200436e0545a306234205d83886163b7

[ "MIT" ]

null

from unittest import TestCase from workflow import * class ActionTestCase(TestCase): def setUp(self): self.action = Action() def tearDown(self): pass def test_action_run(self): self.assertEqual(None, self.action.run())

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099ed49212b26ca036c4de6cbecbdb6149e30c70

11,447

py

Python

LinearAlgebra/linSysTest.py

HKuz/Test_Code

798efc9fc668ef021736a6d9699ef4713cf8b718

[ "MIT" ]

1

2020-06-14T20:10:04.000Z

LinearAlgebra/linSysTest.py

makramjandar/Test_Code

798efc9fc668ef021736a6d9699ef4713cf8b718

[ "MIT" ]

null

LinearAlgebra/linSysTest.py

makramjandar/Test_Code

798efc9fc668ef021736a6d9699ef4713cf8b718

[ "MIT" ]

1

2019-12-09T12:48:05.000Z

#!/usr/local/bin/Python3 from vector import Vector from plane import Plane from hyperplane import Hyperplane from linsys import LinearSystem from linsysHyper import LinearSystemHyper def main(): test_row_ops = False test_triangular_form = False test_rref = False test_ge_solution = False test_parametrization = False test_hyperplane = True # Test row operations: swap rows, multiply row by number, add a multiple times one row to another if test_row_ops: print("\n=== Row Operations Quiz ===\n") p0 = Plane(normal_vector=Vector([1,1,1]), constant_term=1) p1 = Plane(normal_vector=Vector([0,1,0]), constant_term=2) p2 = Plane(normal_vector=Vector([1,1,-1]), constant_term=3) p3 = Plane(normal_vector=Vector([1,0,-2]), constant_term=2) s = LinearSystem([p0,p1,p2,p3]) s.swap_rows(0,1) if not (s[0] == p1 and s[1] == p0 and s[2] == p2 and s[3] == p3): print("Failed test case 1") else: print("Passed test case 1") s.swap_rows(1,3) if not (s[0] == p1 and s[1] == p3 and s[2] == p2 and s[3] == p0): print("Failed test case 2") else: print("Passed test case 2") s.swap_rows(3,1) if not (s[0] == p1 and s[1] == p0 and s[2] == p2 and s[3] == p3): print("Failed test case 3") else: print("Passed test case 3") s.multiply_coefficient_and_row(1,0) if not (s[0] == p1 and s[1] == p0 and s[2] == p2 and s[3] == p3): print("Failed test case 4") else: print("Passed test case 4") s.multiply_coefficient_and_row(-1,2) if not (s[0] == p1 and s[1] == p0 and s[2] == Plane(normal_vector=Vector([-1,-1,1]), constant_term=-3) and s[3] == p3): print("Failed test case 5") else: print("Passed test case 5") s.multiply_coefficient_and_row(10,1) if not (s[0] == p1 and s[1] == Plane(normal_vector=Vector([10,10,10]), constant_term=10) and s[2] == Plane(normal_vector=Vector([-1,-1,1]), constant_term=-3) and s[3] == p3): print("Failed test case 6") else: print("Passed test case 6") s.add_multiple_times_row_to_row(0,0,1) if not (s[0] == p1 and s[1] == Plane(normal_vector=Vector([10,10,10]), constant_term=10) and s[2] == Plane(normal_vector=Vector([-1,-1,1]), constant_term=-3) and s[3] == p3): print("Failed test case 7") else: print("Passed test case 7") s.add_multiple_times_row_to_row(1,0,1) if not (s[0] == p1 and s[1] == Plane(normal_vector=Vector([10,11,10]), constant_term=12) and s[2] == Plane(normal_vector=Vector([-1,-1,1]), constant_term=-3) and s[3] == p3): print("Failed test case 8") else: print("Passed test case 8") s.add_multiple_times_row_to_row(-1,1,0) if not (s[0] == Plane(normal_vector=Vector([-10,-10,-10]), constant_term=-10) and s[1] == Plane(normal_vector=Vector([10,11,10]), constant_term=12) and s[2] == Plane(normal_vector=Vector([-1,-1,1]), constant_term=-3) and s[3] == p3): print("Failed test case 9") else: print("Passed test case 9") # Test Triangular Form if test_triangular_form: print("\n=== Triangular Form Quiz ===\n") p4 = Plane(normal_vector=Vector([1,1,1]), constant_term=1) p5 = Plane(normal_vector=Vector([0,1,1]), constant_term=2) s1 = LinearSystem([p4, p5]) t1 = s1.compute_triangular_form() if not (t1[0] == p4 and t1[1] == p5): print("Failed test case 1") else: print("Passed test case 1") p6 = Plane(normal_vector=Vector([1,1,1]), constant_term=1) p7 = Plane(normal_vector=Vector([1,1,1]), constant_term=2) s2 = LinearSystem([p6, p7]) t2 = s2.compute_triangular_form() if not (t2[0] == p6 and t2[1] == Plane(constant_term=1)): print("Failed test case 2") else: print("Passed test case 2") p8 = Plane(normal_vector=Vector([1,1,1]), constant_term=1) p9 = Plane(normal_vector=Vector([0,1,0]), constant_term=2) p10 = Plane(normal_vector=Vector([1,1,-1]), constant_term=3) p11 = Plane(normal_vector=Vector([1,0,-2]), constant_term=2) s3 = LinearSystem([p8, p9, p10, p11]) t3 = s3.compute_triangular_form() if not (t3[0] == p8 and t3[1] == p9 and t3[2] == Plane(normal_vector=Vector([0,0,-2]), constant_term=2) and t3[3] == Plane()): print("Failed test case 3") else: print("Passed test case 3") p12 = Plane(normal_vector=Vector([0,1,1]), constant_term=1) p13 = Plane(normal_vector=Vector([1,-1,1]), constant_term=2) p14 = Plane(normal_vector=Vector([1,2,-5]), constant_term=3) s4 = LinearSystem([p12, p13, p14]) t4 = s4.compute_triangular_form() if not (t[0] == Plane(normal_vector=Vector([1,-1,1]), constant_term=2) and t[1] == Plane(normal_vector=Vector([0,1,1]), constant_term=1) and t[2] == Plane(normal_vector=Vector([0,0,-9]), constant_term=-2)): print("Failed test case 4") else: print("Passed test case 4") # Test Reduced Row Echelon Form if test_rref: print("\n=== Reduced Row Echelon Form Quiz ===\n") p15 = Plane(normal_vector=Vector([1,1,1]), constant_term=1) p16 = Plane(normal_vector=Vector([0,1,1]), constant_term=2) s5 = LinearSystem([p15, p16]) r1 = s5.compute_rref() if not (r1[0] == Plane(normal_vector=Vector([1,0,0]), constant_term=-1) and r1[1] == p16): print("Failed test case 1") else: print("Passed test case 1") p17 = Plane(normal_vector=Vector([1,1,1]), constant_term=1) p18 = Plane(normal_vector=Vector([1,1,1]), constant_term=2) s6 = LinearSystem([p17, p18]) r2 = s6.compute_rref() if not (r2[0] == p17 and r2[1] == Plane(constant_term=1)): print("Failed test case 2") else: print("Passed test case 2") p19 = Plane(normal_vector=Vector([1,1,1]), constant_term=1) p20 = Plane(normal_vector=Vector([0,1,0]), constant_term=2) p21 = Plane(normal_vector=Vector([1,1,-1]), constant_term=3) p22 = Plane(normal_vector=Vector([1,0,-2]), constant_term=2) s7 = LinearSystem([p19, p20, p21, p22]) r3 = s7.compute_rref() if not (r3[0] == Plane(normal_vector=Vector([1,0,0]), constant_term=0) and r3[1] == p20 and r3[2] == Plane(normal_vector=Vector([0,0,-2]), constant_term=2) and r3[3] == Plane()): print("Failed test case 3") else: print("Passed test case 3") p23 = Plane(normal_vector=Vector([0,1,1]), constant_term=1) p24 = Plane(normal_vector=Vector([1,-1,1]), constant_term=2) p25 = Plane(normal_vector=Vector([1,2,-5]), constant_term=3) s8 = LinearSystem([p23, p24, p25]) r4 = s8.compute_rref() if not (r4[0] == Plane(normal_vector=Vector([1,0,0]), constant_term=23/9) and r4[1] == Plane(normal_vector=Vector([0,1,0]), constant_term=7/9) and r4[2] == Plane(normal_vector=Vector([0,0,1]), constant_term=2/9)): print("Failed test case 4") else: print("Passed test case 4") # Test Gaussian Elimination solutions if test_ge_solution: print("\n=== Gaussian Elimination Solution Quiz ===\n") p26 = Plane(normal_vector=Vector([5.862,1.178,-10.366]), constant_term=-8.15) p27 = Plane(normal_vector=Vector([-2.931,-0.589,5.183]), constant_term=-4.075) s9 = LinearSystem([p26, p27]) print(s9.do_gaussian_elimination()) p28 = Plane(normal_vector=Vector([8.631,5.112,-1.816]), constant_term=-5.113) p29 = Plane(normal_vector=Vector([4.315,11.132,-5.27]), constant_term=-6.775) p30 = Plane(normal_vector=Vector([-2.158,3.01,-1.727]), constant_term=-0.831) s10 = LinearSystem([p28, p29, p30]) print(s10.do_gaussian_elimination()) p31 = Plane(normal_vector=Vector([5.262,2.739,-9.878]), constant_term=-3.441) p32 = Plane(normal_vector=Vector([5.111,6.358,7.638]), constant_term=-2.152) p33 = Plane(normal_vector=Vector([2.016,-9.924,-1.367]), constant_term=-9.278) p34 = Plane(normal_vector=Vector([2.167,-13.543,-18.883]), constant_term=-10.567) s11 = LinearSystem([p31, p32, p33, p34]) print(s11.do_gaussian_elimination()) # Test parametrization if test_parametrization: print("\n=== Parametrization Quiz ===\n") p35 = Plane(normal_vector=Vector([0.786,0.786,0.588]), constant_term=-0.714) p36 = Plane(normal_vector=Vector([-0.131,-0.131,0.244]), constant_term=0.319) s12 = LinearSystem([p35, p36]) print(s12.compute_solution()) p37 = Plane(normal_vector=Vector([8.631,5.112,-1.816]), constant_term=-5.113) p38 = Plane(normal_vector=Vector([4.315,11.132,-5.27]), constant_term=-6.775) p39 = Plane(normal_vector=Vector([-2.158,3.01,-1.727]), constant_term=-0.831) s13 = LinearSystem([p37, p38, p39]) print(s13.compute_solution()) p40 = Plane(normal_vector=Vector([0.935,1.76,-9.365]), constant_term=-9.955) p41 = Plane(normal_vector=Vector([0.187,0.352,-1.873]), constant_term=-1.991) p42 = Plane(normal_vector=Vector([0.374,0.704,-3.746]), constant_term=-3.982) p43 = Plane(normal_vector=Vector([-0.561,-1.056,5.619]), constant_term=5.973) s14 = LinearSystem([p40, p41, p42, p43]) print(s14.compute_solution()) # Test hyperplanes - created LInearSystemHyper to preserve tests above # file only changes the import statement at the top if test_hyperplane: print("\n=== Hyperplane Quiz ===\n") p44 = Hyperplane(normal_vector=Vector([0.786,0.786]), constant_term=-0.714) p45 = Hyperplane(normal_vector=Vector([-0.131,-0.131]), constant_term=0.319) s15 = LinearSystemHyper([p44, p45]) print(s15.compute_solution()) p46 = Hyperplane(normal_vector=Vector([2.102,7.489,-0.786]), constant_term=-5.113) p47 = Hyperplane(normal_vector=Vector([-1.131,-8.318,1.209]), constant_term=-6.775) p48 = Hyperplane(normal_vector=Vector([9.015,-5.873,1.105]), constant_term=0.831) s16 = LinearSystemHyper([p46, p47, p48]) print(s16.compute_solution()) p49 = Hyperplane(normal_vector=Vector([0.786, 0.786, 8.123, 1.111, -8.363]), constant_term=-9.955) p50 = Hyperplane(normal_vector=Vector([-0.131, -0.131, 7.05, -2.813, 1.19]), constant_term=-1.991) p51 = Hyperplane(normal_vector=Vector([9.015, -5.873, -1.105, 2.013, -2.802]), constant_term=-3.982) s17 = LinearSystemHyper([p49, p50, p51]) print(s17.compute_solution()) if __name__ == '__main__': main()

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09a3282c9e71f7d006144e659f825292fe82031e

685

py

Python

core/place.py

ldacosta/shopping-optimization

469d41db064d93b80e5fdc15ffea12565f994a12

[ "MIT" ]

null

core/place.py

ldacosta/shopping-optimization

469d41db064d93b80e5fdc15ffea12565f994a12

[ "MIT" ]

null

core/place.py

ldacosta/shopping-optimization

469d41db064d93b80e5fdc15ffea12565f994a12

[ "MIT" ]

null

# -*- coding: utf-8 -*- """A physical place. Example: Attributes: Todo: * Nothing for now. .. _Google Python Style Guide: http://google.github.io/styleguide/pyguide.html """ from geometry.angle import AngleInRadians class Place(object): def __init__(self, latitude: AngleInRadians, longitude: AngleInRadians): self.latitude = latitude self.longitude = longitude def distance_to(self, latitude: AngleInRadians, longitude: AngleInRadians) -> float: """Distance in Kms.""" # TODO: try https://stackoverflow.com/questions/19412462/getting-distance-between-two-points-based-on-latitude-longitude ? raise NotImplementedError()

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0

1

0

1

0

3

09a7f63fb1bcf2fdbb00c4d1c142b5dd34e32bea

1,286

py

Python

src/backend/socialapp/views/commentUpdateView.py

shouyang/group-CMPUT404-project

a8d114b493ad2786c90e8b1f10c087fa4d5c81de

[ "MIT" ]

2

2019-02-04T17:55:48.000Z

2019-03-11T23:22:14.000Z

src/backend/socialapp/views/commentUpdateView.py

shouyang/group-CMPUT404-project

a8d114b493ad2786c90e8b1f10c087fa4d5c81de

[ "MIT" ]

7

2019-02-27T17:16:19.000Z

2019-03-19T20:13:56.000Z

src/backend/socialapp/views/commentUpdateView.py

shouyang/group-CMPUT404-project

a8d114b493ad2786c90e8b1f10c087fa4d5c81de

[ "MIT" ]

2

2019-04-10T17:01:07.000Z

2019-04-17T01:08:16.000Z

from django.views.generic import TemplateView, ListView, DetailView, CreateView, UpdateView from django.http import HttpResponse from django.shortcuts import render, get_object_or_404, redirect from django.contrib.sites.shortcuts import get_current_site from django.contrib.auth.mixins import UserPassesTestMixin import json from .. import models import pytz from datetime import datetime from django.urls import reverse_lazy from .mixin import MixinContext class CommentUpdateView(UserPassesTestMixin, MixinContext,UpdateView): template_engine = 'jinja2' template_name = 'socialapp/comment-update.html' model = models.Comment fields = '__all__' success_url = reverse_lazy("index") def get_initial(self): """Return the initial data to use for forms on this view.""" form_defaults = { "published": str(datetime.now()) } return form_defaults def get_success_url(self): return reverse_lazy("post-id", kwargs={'pk': self.get_object().post.id}) def test_func(self): if not self.request.user.is_authenticated: return False if self.request.user.author.is_local_unverified_user(): return False return self.get_object().author == self.request.user.author

32.15

91

0.724728

160

1,286

5.65625

0.53125

0.066298

0.049724

0.046409

0

0.003846

0.191291

1,286

40

92

32.15

0.866346

0.041991

0

0.066667

0

0.052975

0.023635

0

1

0.1

false

0.066667

0.366667

0.033333

0.833333

0

null

0

null

0

1

0

1

0

3

09ba0d90281117ac7ed96c74f55055d7e318d92b

72

py

Python

notifico/version.py

ammaraskar/notifico

6bdc0c36948741b3d0bac897a02b7b63cabfec6c

[ "MIT" ]

80

2015-01-01T07:55:35.000Z

2019-04-23T14:47:35.000Z

notifico/version.py

ammaraskar/notifico

6bdc0c36948741b3d0bac897a02b7b63cabfec6c

[ "MIT" ]

88

2015-01-02T09:26:31.000Z

2019-05-27T07:03:07.000Z

notifico/version.py

ammaraskar/notifico

6bdc0c36948741b3d0bac897a02b7b63cabfec6c

[ "MIT" ]

33

2015-01-12T18:16:30.000Z

2019-02-02T01:15:41.000Z

# -*- coding: utf8 -*- __all__ = ('__version__',) __version__ = '1.0.0'

18

26

0.583333

8

72

3.75

0.75

0

0.065574

0.152778

72

3

27

24

0.42623

0.277778

0

0.32

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

3

09c561d7b02f0bde6391db7b6d3b202bef15dbe7

2,947

py

Python

libs/models.py

MathiasGruber/ReacherAgent-PyTorch

b2bfd4f36270a6b97998ae6551a8120318e33a68

[ "MIT" ]

null

libs/models.py

MathiasGruber/ReacherAgent-PyTorch

b2bfd4f36270a6b97998ae6551a8120318e33a68

[ "MIT" ]

9

2019-10-26T11:58:51.000Z

2021-08-25T15:30:23.000Z

libs/models.py

MathiasGruber/ReacherAgent-PyTorch

b2bfd4f36270a6b97998ae6551a8120318e33a68

[ "MIT" ]

null

import torch from torch import nn from torch.nn import functional as F import numpy as np class BaseModel(nn.Module): """Base model for both Actor and Critic""" @staticmethod def fan_in_initializer(layer): """Initializer hidden layer weights as described in DDPG paper""" fan_in = layer.weight.data.size()[0] lim = 1. / np.sqrt(fan_in) return (-lim, lim) class Actor(BaseModel): """Actor Model for Policy approoximation.""" def __init__(self, state_size, action_size, dense_layers=[256, 128], random_state=42): """ Arguments: state_size (int) -- Dimension of each state action_size (int) -- Dimension of each action Keyword Arguments: dense_layers {list} -- Nodes in dense layers (default: {[400, 300]}) random_state {int} -- seed for torch random number generator (default: {42}) """ super(Actor, self).__init__() self.seed = torch.manual_seed(random_state) self.fc1 = nn.Linear(state_size, dense_layers[0]) self.fc2 = nn.Linear(dense_layers[0], dense_layers[1]) self.fc3 = nn.Linear(dense_layers[1], action_size) self.reset_parameters() def reset_parameters(self): self.fc1.weight.data.uniform_(*self.fan_in_initializer(self.fc1)) self.fc2.weight.data.uniform_(*self.fan_in_initializer(self.fc2)) self.fc3.weight.data.uniform_(-3e-3, 3e-3) def forward(self, state): """Mapping of states -> actions.""" x = F.relu(self.fc1(state)) x = F.relu(self.fc2(x)) return torch.tanh(self.fc3(x)) class Critic(BaseModel): """Critic Model for Value approoximation.""" def __init__(self, state_size, action_size, dense_layers=[256, 128], random_state=42): """Arguments: state_size (int) -- Dimension of each state action_size (int) -- Dimension of each action Keyword Arguments: dense_layers {list} -- Nodes in dense layers (default: {[400, 300]}) random_state {int} -- seed for torch random number generator (default: {42}) """ super(Critic, self).__init__() self.seed = torch.manual_seed(random_state) self.fc1 = nn.Linear(state_size, dense_layers[0]) self.fc2 = nn.Linear(dense_layers[0]+action_size, dense_layers[1]) self.fc3 = nn.Linear(dense_layers[1], 1) self.reset_parameters() def reset_parameters(self): self.fc1.weight.data.uniform_(*self.fan_in_initializer(self.fc1)) self.fc2.weight.data.uniform_(*self.fan_in_initializer(self.fc2)) self.fc3.weight.data.uniform_(-3e-3, 3e-3) def forward(self, state, action): """Mapping of (state, action) -> Q-values.""" xs = F.relu(self.fc1(state)) x = torch.cat((xs, action), dim=1) x = F.relu(self.fc2(x)) return self.fc3(x)

36.8375

90

0.623346

394

2,947

4.484772

0.22335

0.087153

0.057725

0.040747

0.730617

0.710809

0.688172

0

0.033303

0.246013

2,947

79

91

37.303797

0.761926

0.283

0

0.418605

0

1

0.162791

false

0

0.093023

0

0.395349

0

null

0

1

0

1

0

null

0

3

09cae1aa547cfcfa0797d70749da4eefc1e23100

180

py

Python

src/main/python/desklutter/main.py

Sakelariev/Desklutter

46437a13318303a55c5a38621f6e11b3ff829897

[ "MIT" ]

null

src/main/python/desklutter/main.py

Sakelariev/Desklutter

46437a13318303a55c5a38621f6e11b3ff829897

[ "MIT" ]

null

src/main/python/desklutter/main.py

Sakelariev/Desklutter

46437a13318303a55c5a38621f6e11b3ff829897

[ "MIT" ]

null

from desklutter.application_context import AppContext import sys, os if __name__ == '__main__': appctxt = AppContext() exit_code = appctxt.run() sys.exit(exit_code)

18

53

0.722222

22

180

5.409091

0.681818

0.134454

0

0.183333

180

9

54

20

0.809524

0

0.044444

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

3

09cfc5813d579e7a34ade775c2135cff2b82aca2

1,178

py

Python

example/socket/client.py

Jamesyang2333/fmm

1ba7ced29fd135da038bbfdd726fafdae09eda48

[ "Apache-2.0" ]

null

example/socket/client.py

Jamesyang2333/fmm

1ba7ced29fd135da038bbfdd726fafdae09eda48

[ "Apache-2.0" ]

null

example/socket/client.py

Jamesyang2333/fmm

1ba7ced29fd135da038bbfdd726fafdae09eda48

[ "Apache-2.0" ]

null

import socket import sys HOST, PORT = "localhost", 1235 data = " ".join(sys.argv[1:]) # Create a socket (SOCK_STREAM means a TCP socket) with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock: # Connect to server and send data sock.connect((HOST, PORT)) sock.sendall(bytes("LINESTRING(126.60311000000002 45.742172,126.60328 45.742348,126.60574 45.744152,126.60761 45.746216,126.60878999999998 45.74774,126.60878 45.74777,126.60883 45.747696000000005,126.60884 45.7477,126.60725 45.74565,126.60481 45.74328,126.60404 45.74251,126.60352 45.742764,126.60663 45.740715,126.61026 45.73876,126.61136 45.738293,126.614 45.736755,126.617516 45.73877,126.619125 45.739956,126.62125 45.739075,126.622284 45.73876,126.62337 45.738537,126.62215 45.736294,126.620705 45.73475,126.61933 45.733807,126.614494 45.73659,126.61197 45.738026,126.60894 45.73976,126.6061 45.741264,126.607025 45.74259,126.60714 45.742744,126.60595 45.7412,126.61218999999998 45.73778,126.6141 45.736694)" + "\n", "utf-8")) # Receive data from the server and shut down received = str(sock.recv(10240), "utf-8") print("Sent: {}".format(data)) print("Received: {}".format(received))

69.294118

735

0.749576

205

1,178

4.292683

0.541463

0.018182

0.036364

0

0.528746

0.099321

1,178

17

736

69.294118

0.30066

0.104414

0

0.1

0.701521

0.105513

0

1

0

false

0

0.2

0

0.2

0

null

0

1

0

1

0

1

0

null

0

3

09d6bd4589137d38956a0a885a4978f44ede678d

290

py

Python

kolibri_pratham_plugin/kolibri_plugin.py

prathamopenschool1/kolibri-pratham-windows-plugin

14271569cc5d0d22be3b5d2690a51f0ef276dd0b

[ "MIT" ]

null

kolibri_pratham_plugin/kolibri_plugin.py

prathamopenschool1/kolibri-pratham-windows-plugin

14271569cc5d0d22be3b5d2690a51f0ef276dd0b

[ "MIT" ]

null

kolibri_pratham_plugin/kolibri_plugin.py

prathamopenschool1/kolibri-pratham-windows-plugin

14271569cc5d0d22be3b5d2690a51f0ef276dd0b

[ "MIT" ]

null

from __future__ import absolute_import, print_function, unicode_literals from kolibri.plugins.base import KolibriPluginBase class PrathamPlugin(KolibriPluginBase): def url_module(self): from . import urls return urls def url_slug(self): return "^pratham/"

26.363636

72

0.737931

33

290

6.212121

0.666667

0.058537

0

0.2

290

10

73

29

0.883621

0

0.031034

0

1

0.25

false

0

0.375

0.125

1

0.125

0

null

0

null

0

1

0

1

0

3

09e7eaaca392df11f62c3ee70d7d195ab9713bb4

1,041

py

Python

setup.py

ParhamP/Autism_Treatment_Assistance

da79d474502f8747adde1139614317911604a2f9

[ "Apache-2.0" ]

15

2017-02-03T12:17:03.000Z

2022-01-21T19:35:10.000Z

setup.py

Rahmeen14/Autism_Treatment_Assistance

da79d474502f8747adde1139614317911604a2f9

[ "Apache-2.0" ]

1

2018-07-29T23:41:30.000Z

2018-07-29T23:48:36.000Z

setup.py

Rahmeen14/Autism_Treatment_Assistance

da79d474502f8747adde1139614317911604a2f9

[ "Apache-2.0" ]

8

2017-05-18T05:45:56.000Z

2021-12-08T07:13:51.000Z

from setuptools import setup setup( name='Autism_Treatment_Assistance', packages=['Autism_Treatment_Assistance'], version='0.5', scripts=['Autism_Treatment_Assistance/ata'], description="Employs data science and deep learning to assist therapists treat a common autism symptom that involves interpretation and correlation of facial and speech emotions", long_description="Please visist Autism Treatment Assistance on Github: https://github.com/ParhamP/Autism_Treatment_Assistance", author='Parham Pourdavood', author_email='ppourdavood@gmail.com', url='https://github.com/ParhamP/Autism_Treatment_Assistance', download_url='https://github.com/ParhamP/Autism_Treatment_Assistance/tarball/0.1', keywords=['data science, emotion recognition, psychology, autism, speech emotion recognition'], # arbitrary keywords classifiers=[], install_requires=['SimpleAudioIndexer', 'watson_developer_cloud', 'SpeechRecognition', 'matplotlib', 'numpy'], license="Apache-2.0" )

49.571429

183

0.753122

116

1,041

6.603448

0.62069

0.137076

0.22846

0.082245

0.18799

0.127937

0

0.006711

0.14121

1,041

20

184

52.05

0.850112

0.017291

0

0.055556

0.666014

0.125367

0

1

0

true

0

0.055556

0

0.055556

0

null

0

1

0

1

0

null

0

1

0

3

09e960caa2c01b22eb64fac155c84102fac617c3

335

py

Python

tests/resources/mlflow-test-plugin/mlflow_test_plugin/request_header_provider.py

PeterSulcs/mlflow

14c48e7bb1ca6cd6a3c1b249a486cd98bd5e7051

[ "Apache-2.0" ]

10,351

2018-07-31T02:52:49.000Z

2022-03-31T23:33:13.000Z

tests/resources/mlflow-test-plugin/mlflow_test_plugin/request_header_provider.py

PeterSulcs/mlflow

14c48e7bb1ca6cd6a3c1b249a486cd98bd5e7051

[ "Apache-2.0" ]

3,733

2018-07-31T01:38:51.000Z

2022-03-31T23:56:25.000Z

tests/resources/mlflow-test-plugin/mlflow_test_plugin/request_header_provider.py

PeterSulcs/mlflow

14c48e7bb1ca6cd6a3c1b249a486cd98bd5e7051

[ "Apache-2.0" ]

2,596

2018-07-31T06:38:39.000Z

2022-03-31T23:56:32.000Z

from mlflow.tracking.request_header.abstract_request_header_provider import RequestHeaderProvider class PluginRequestHeaderProvider(RequestHeaderProvider): """RequestHeaderProvider provided through plugin system""" def in_context(self): return False def request_headers(self): return {"test": "header"}

27.916667

97

0.770149

32

335

7.875

0.71875

0.103175

0

0.155224

335

11

98

30.454545

0.890459

0.155224

0

0.036101

0

1

0.333333

false

0

0.166667

0.333333

1

0

null

0

null

0

1

0

1

0

3

09f62a281a62a2b9837070c0dc68d22760073416

165

py

Python

lxbe_tool/providers/module/__init__.py

mithro/lxbe-tool

2ca6f59580a688a9cbc027d093a39c420390327e

[ "Apache-2.0" ]

3

2019-06-23T03:15:15.000Z

2019-11-28T08:00:07.000Z

lxbe_tool/providers/module/__init__.py

litex-hub/lxbe-tool

2ca6f59580a688a9cbc027d093a39c420390327e

[ "Apache-2.0" ]

2

2018-08-07T19:53:38.000Z

2018-08-08T21:44:54.000Z

lxbe_tool/providers/module/__init__.py

mithro/lxbe-tool

2ca6f59580a688a9cbc027d093a39c420390327e

[ "Apache-2.0" ]

1

2020-08-07T22:49:55.000Z

""" Provides Python modules such as; * LiteXXX referenced as submodules. * (Maybe?) pip installable libraries like; - colorterm - hexfile - etc """

13.75

43

0.648485

17

165

6.294118

0.941176

0

0.248485

165

11

44

15

0.862903

0.939394

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

3

61ed66c2d8428bb87406ff950665ff842c286bbb

105

py

Python

diskriminant.py

secginelif/python_algoritma1

e132e9fbd30fb56a04734333c22bb5703c10c811

[ "MIT" ]

null

diskriminant.py

secginelif/python_algoritma1

e132e9fbd30fb56a04734333c22bb5703c10c811

[ "MIT" ]

null

diskriminant.py

secginelif/python_algoritma1

e132e9fbd30fb56a04734333c22bb5703c10c811

[ "MIT" ]

null

a = int(input("a :")) b = int(input("b :")) c = int(input("c :")) delta = (b**2) - (4*a*c) print(delta)

15

24

0.47619

20

105

2.5

0.45

0.48

0

0.023256

0.180952

105

6

25

17.5

0.55814

0

0.086538

0

1

0

false

0

0.2

1

0

null

1

0

1

0

null

0

3

111953b2c9f1d3d37b4c9b1ec14a01f893ccc154

2,699

py

Python

PythonProjects/99-CapstoneProject-202020d_SOLUTION/libs/rosebot_infrared_proximity_sensor.py

much2mutch/csse120-public

4f862a6deb7a5373fb5723fb2a23e4042e4d4157

[ "MIT" ]

null

PythonProjects/99-CapstoneProject-202020d_SOLUTION/libs/rosebot_infrared_proximity_sensor.py

much2mutch/csse120-public

4f862a6deb7a5373fb5723fb2a23e4042e4d4157

[ "MIT" ]

null

PythonProjects/99-CapstoneProject-202020d_SOLUTION/libs/rosebot_infrared_proximity_sensor.py

much2mutch/csse120-public

4f862a6deb7a5373fb5723fb2a23e4042e4d4157

[ "MIT" ]

null

""" Capstone Team Project. Code to run on the EV3 robot (NOT on a laptop). This code defines the InfraredProximitySensor class, for the robot's forward facing sensor. The infrared sensor when it is in the mode in which it emits infrared light and uses the reflected information to estimate distance to the nearest object in its field of vision. Authors: Your professors (for the framework) and PUT_YOUR_NAMES_HERE. Winter term, 2019-2020. """ # TODO: Put the name of EACH team member who contributes # to this module in the above. import rosebot_ev3dev_api as rose_ev3 import time ############################################################################### # InfraredProximitySensor ############################################################################### class InfraredProximitySensor(object): """ Methods for the forward-facing InfraredProximitySensor on the robot, including: get_distance wait_until_distance_less_than """ def __init__(self, port): """ Constructs the underlying low-level InfraredProximitySensor. :type port: int """ # --------------------------------------------------------------------- # TODO: With your instructor, implement this method. # --------------------------------------------------------------------- self.sensor = rose_ev3.InfraredProximitySensor(port) def get_distance_in_inches(self): """ Returns the distance to the nearest object in its field of vision, in inches, where about 39.37 inches (which is 100 cm) means no object is within its field of vision. :return: The distance in inches to the nearest object. :rtype: float """ # --------------------------------------------------------------------- # TODO: Implement this method. # --------------------------------------------------------------------- return self.sensor.get_distance_in_inches() def wait_until_distance_less_than(self, threshold_in_inches): """ Sits in a loop, sleeping 0.05 seconds each time through the loop, waiting for the IR proximity sensor to be less than some threshold. :param threshold_in_inches: The distance threshold in inches. :type threshold_in_inches: float """ # --------------------------------------------------------------------- # TODO: Implement this method. # --------------------------------------------------------------------- while True: time.sleep(0.05) if self.get_distance_in_inches() < threshold_in_inches: break

40.893939

83

0.521675

275

2,699

4.985455

0.447273

0.058352

0.061999

0.039387

0.141503

0.064187

0

0.011871

0.219711

2,699

65

84

41.523077

0.639126

0.655798

0

0.061538

0

1

0.25

false

0

0.166667

0

0.583333

0

null

0

null

0

1

0

1

0

1

0

3

1130d9028c573b054680d899424920658745dda9

169

py

Python

easy_unet/cleanup.py

horoiwa/VisionML

95fa454a4c309f5e985dff1d067dd8341d260a3c

[ "MIT" ]

null

easy_unet/cleanup.py

horoiwa/VisionML

95fa454a4c309f5e985dff1d067dd8341d260a3c

[ "MIT" ]

null

easy_unet/cleanup.py

horoiwa/VisionML

95fa454a4c309f5e985dff1d067dd8341d260a3c

[ "MIT" ]

null

import shutil import os if __name__ == "__main__": for dir_ in ["data", "checkpoints", "result"]: if os.path.exists(dir_): shutil.rmtree(dir_)

18.777778

50

0.60355

21

169

4.333333

0.714286

0

0.254438

169

8

51

21.125

0.722222

0

0.171598

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

3

febad1401710998e6c519764b343ecd78f332898

19

py

Python

qwe.py

long-mark/test

4896ef615fa30f1ab186aac237c9460001601160

[ "MIT" ]

null

qwe.py

long-mark/test

4896ef615fa30f1ab186aac237c9460001601160

[ "MIT" ]

null

qwe.py

long-mark/test

4896ef615fa30f1ab186aac237c9460001601160

[ "MIT" ]

null

str1 = "asdsafasf"

9.5

18

0.684211

2

19

6.5

1

0

0.0625

0.157895

19

1

19

0.75

0

0.473684

0

1

0

false

0

1

0

null

0

1

0

null

0

3

fecbae06932c544b1a6d69646338a4002f8d0d23

343

py

Python

stackstrap/commands/template/list.py

movermeyer/stackstrap

daa942ba83c2f3183628a4dc84e8ea221ff49eb6

[ "Apache-2.0" ]

3

2015-04-19T09:36:49.000Z

2017-02-08T23:41:22.000Z

stackstrap/commands/template/list.py

movermeyer/stackstrap

daa942ba83c2f3183628a4dc84e8ea221ff49eb6

[ "Apache-2.0" ]

1

2021-03-25T21:27:19.000Z

stackstrap/commands/template/list.py

movermeyer/stackstrap

daa942ba83c2f3183628a4dc84e8ea221ff49eb6

[ "Apache-2.0" ]

2

2015-05-22T08:25:54.000Z

2018-03-05T00:33:25.000Z

from stackstrap.commands import Command from stackstrap.template import Template class List(Command): "List all templates" name = 'list' def setup_parser(self, parser): pass def main(self, args): # TODO: pretty this output up for template in Template.available(): self.log.info(template)

22.866667

45

0.658892

42

343

5.357143

0.666667

0.124444

0

0.259475

343

14

46

24.5

0.885827

0.137026

0

0.070064

0

0.071429

0

1

0.2

false

0.1

0.2

0

0.6

0

null

0

null

0

1

0

1

0

1

0

3

fedd42de73a96609890ad2619499ed55f0ae5fe6

313

py

Python

tony-graphics1.py

tonythott/tonnewcode

3dd595abf454aeb2f9abafe6c662ada5a6b0a966

[ "MIT" ]

null

tony-graphics1.py

tonythott/tonnewcode

3dd595abf454aeb2f9abafe6c662ada5a6b0a966

[ "MIT" ]

null

tony-graphics1.py

tonythott/tonnewcode

3dd595abf454aeb2f9abafe6c662ada5a6b0a966

[ "MIT" ]

null

from ezgraphics import GraphicsWindow w= GraphicsWindow(640,480) c= w.canvas() c.setFill(0,255,255) c.drawRect(310,260,100,100) c.setFill(0,155,255) c.drawRect(150,100,30,30) c.setFill(0,55,155) c.drawRect(180,130,50,50) c.setFill(0,255,155) c.drawRect(230,180,80,80) c.setFill(0,155,155) w.wait()

20.866667

38

0.702875

62

313

3.548387

0.419355

0.181818

0.204545

0.109091

0

0.292857

0.105431

313

14

39

22.357143

0.492857

0

1

0

false

0

0.076923

0

0.076923

0

null

0

1

0

1

0

1

0

null

0

3

fee117b493ffd7b06040ebb2edc84540c7a9edfb

367

py

Python

aydin/util/misc/test/test_combinatorics.py

royerloic/aydin

f9c61a24030891d008c318b250da5faec69fcd7d

[ "BSD-3-Clause" ]

78

2021-11-08T16:11:23.000Z

2022-03-27T17:51:04.000Z

aydin/util/misc/test/test_combinatorics.py

royerloic/aydin

f9c61a24030891d008c318b250da5faec69fcd7d

[ "BSD-3-Clause" ]

19

2021-11-08T17:15:40.000Z

2022-03-30T17:46:55.000Z

aydin/util/misc/test/test_combinatorics.py

royerloic/aydin

f9c61a24030891d008c318b250da5faec69fcd7d

[ "BSD-3-Clause" ]

7

2021-11-09T17:42:32.000Z

2022-03-09T00:37:57.000Z

from aydin.util.misc.combinatorics import closest_product def test_closest_product(): u = [1, 2, 5, 7, 9, 10] N = 15 result = closest_product(u, N) print(f"closest_product({u}, {N}) = {result}") assert result == [1, 3] N = 27 result = closest_product(u, N) print(f"closest_product({u}, {N}) = {result}") assert result is None

21.588235

57

0.610354

55

367

3.945455

0.490909

0.387097

0.345622

0.294931

0.571429

0

0.046263

0.234332

367

16

58

22.9375

0.725979

0

0.363636

0

0.196185

0

0.181818

1

0.090909

false

0

0.090909

0

0.181818

0

null

1

0

null

0

3

fee163e91843988e3864a190b197afe8b077225a

1,537

py

Python

Cura/Uranium/UM/Extension.py

TIAO-JI-FU/3d-printing-with-moveo-1

100ecfd1208fe1890f8bada946145d716b2298eb

[ "MIT" ]

null

Cura/Uranium/UM/Extension.py

TIAO-JI-FU/3d-printing-with-moveo-1

100ecfd1208fe1890f8bada946145d716b2298eb

[ "MIT" ]

null

Cura/Uranium/UM/Extension.py

TIAO-JI-FU/3d-printing-with-moveo-1

100ecfd1208fe1890f8bada946145d716b2298eb

[ "MIT" ]

null

# Copyright (c) 2015 Ultimaker B.V. # Uranium is released under the terms of the LGPLv3 or higher. from UM.PluginObject import PluginObject import collections from typing import Optional, Any, Callable, List ## Base class for plugins that extend the functionality of Uranium. # Every extension adds a (sub) menu to the extension menu with one or # more menu items. class Extension(PluginObject): def __init__(self): super().__init__() self._menu_function_dict = collections.OrderedDict() self._menu_name = None # type: Optional[str] ## Add an item to the sub-menu of the extension # \param name \type{string} # \param function \type{function} def addMenuItem(self, name: str, func: Callable[[], Any]): self._menu_function_dict[name] = func ## Set name of the menu where all menu items are placed in # \param name \type{string} def setMenuName(self, name: str): self._menu_name = name ## Get the name of the menu where all menu items are placed in # \param menu name \type{string} def getMenuName(self) -> Optional[str]: return self._menu_name ## Call function associated with option # \param name \type{string} def activateMenuItem(self, name: str): if name in self._menu_function_dict: self._menu_function_dict[name]() ## Get list of all menu item names # \return \type{list} def getMenuItemList(self) -> List[str]: return list(self._menu_function_dict.keys())

34.931818

71

0.674691

210

1,537

4.8

0.380952

0.063492

0.079365

0.099206

0.177579

0.09127

0

0.004255

0.235524

1,537

43

72

35.744186

0.853617

0.440468

0

1

0.315789

false

0

0.157895

0.105263

0.631579

0

null

0

null

0

1

0

1

0

3

fee519d4b5a3b571a2ec984017c6f135bb91286d

531

py

Python

BurstCube/NoahSim/__init__.py

BurstCube/Simulation

e9e1da1d84281f4b026e30eec2b78b64bf48491d

[ "MIT" ]

null

BurstCube/NoahSim/__init__.py

BurstCube/Simulation

e9e1da1d84281f4b026e30eec2b78b64bf48491d

[ "MIT" ]

15

2017-04-06T18:52:39.000Z

2019-08-15T17:48:40.000Z

BurstCube/NoahSim/__init__.py

lepalmer/Simulation

423b400b6124f6418f2903cc5f0a6ce553465602

[ "MIT" ]

3

2017-06-13T17:54:29.000Z

2018-09-16T15:43:24.000Z

try: import healpy except: print("Healpy module is not installed. Please enter 'pip install healpy' before proceeding.") try: import numpy except: print("Numpy module is not installed. Please enter 'pip install numpy' before proceeding.") try: import random except: print("Random module is not installed. Please enter 'pip install random' before proceeding.") try: import burstutils except: print("burstutils module is not importing. Please check your path before proceeding.")

24.136364

97

0.709981

67

531

5.626866

0.328358

0.095491

0.116711

0.159151

0.32626

0

0.218456

531

21

98

25.285714

0.908434

0

0.5

0

0.615819

0

1

0

true

0

0.3125

0

0.3125

0.25

0

null

0

1

0

null

0

1

0

1

0

3

fee5aae0609c89e0c6682b720c6efab095c8a24c

813

py

Python

dioptra/utils.py

dioptra-ai/collector-py

f8912f636da51d179a4bff95a311e40ca4bf7123

[ "BSD-3-Clause" ]

2

2021-10-01T17:45:01.000Z

2022-03-10T21:05:41.000Z

dioptra/utils.py

dioptra-ai/collector-py

f8912f636da51d179a4bff95a311e40ca4bf7123

[ "BSD-3-Clause" ]

null

dioptra/utils.py

dioptra-ai/collector-py

f8912f636da51d179a4bff95a311e40ca4bf7123

[ "BSD-3-Clause" ]

null

""" Utility module """ import numbers def validate_timestamp(timestamp): return timestamp is not None def validate_tags(tags): return isinstance(tags, dict) def validate_prediction(prediction): return isinstance(prediction, str) def validate_confidence(confidence): return isinstance(confidence, numbers.Number) def validate_features(features): return isinstance(features, dict) def validate_embeddings(embeddings): return isinstance(embeddings, list) def validate_image_url(image_url): return isinstance(image_url, str) def validate_groundtruth(groundtruth): return isinstance(groundtruth, str) def add_prefix_to_keys(dictionary, prefix): return_dict = {} for key in dictionary: return_dict[prefix + '.' + key] = dictionary[key] return return_dict

21.394737

57

0.752768

95

813

6.263158

0.336842

0.147899

0.05042

0

0.161132

813

37

58

21.972973

0.872434

0.01722

0

0.001266

0

1

0.409091

false

0

0.045455

0.363636

0.863636

0

null

0

null

0

1

0

1

0

3

fef1b31b1f3d5ca04acde77cf49000b4d29c7abc

201

py

Python

klazor/forms.py

GtPsSd/klazor-heroku

7d284a1f15216a8da2da4ca6772b0dfda7715e5e

[ "MIT" ]

null

klazor/forms.py

GtPsSd/klazor-heroku

7d284a1f15216a8da2da4ca6772b0dfda7715e5e

[ "MIT" ]

8

2020-02-12T00:31:24.000Z

2022-02-10T08:41:34.000Z

klazor/forms.py

GtPsSd/klazor-heroku

7d284a1f15216a8da2da4ca6772b0dfda7715e5e

[ "MIT" ]

1

2019-07-15T01:33:27.000Z

from django import forms from klazor.models import * class CourseForm(forms.ModelForm): class Meta: model = Course fields = ['title', 'tag_set', 'instructor_set', 'release_date']

22.333333

71

0.676617

24

201

5.541667

0.791667

0

0.21393

201

8

72

25.125

0.841772

0

0.189055

0

1

0

false

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

3

3a0d6e70b8cc276ce5649ca967821d433b6ec4b2

711

py

Python

build/lib/glycompare/__init__.py

LewisLabUCSD/GlyCompare

e0e5fb16c7117e681f167b5ee4ca40978db7fad7

[ "MIT" ]

7

2019-07-06T04:26:40.000Z

2021-12-06T20:48:34.000Z

build/lib/glycompare/__init__.py

LewisLabUCSD/GlyCompare

e0e5fb16c7117e681f167b5ee4ca40978db7fad7

[ "MIT" ]

13

2019-07-07T06:43:08.000Z

2022-01-03T22:01:17.000Z

build/lib/glycompare/__init__.py

LewisLabUCSD/GlyCompare

e0e5fb16c7117e681f167b5ee4ca40978db7fad7

[ "MIT" ]

3

2019-07-08T07:15:23.000Z

2021-07-16T03:13:50.000Z

import getopt import sys from . import pipeline_functions from . import merge_substructure_vec from . import glycan_io from . import json_utility from . import nglycan_alignment from . import plot_glycan_utilities from . import clustering_analysis from . import extract_substructures from . import process_glycoprofiles from . import test_glycan_io # root_ = "/Users/apple/PycharmProjects/GlyCompare/" # num_processors = 8 print(""" Thanks for using the GlyCompare v1.1, Please check our github for the latest update. Bokan & Ben, 10/1/2019 """) if __name__ == '__main__': try: opts, args = getopt.getopt(sys.argv[1:], "hdi:", ["help", "output="]) except getopt.GetoptError: pass

22.21875

77

0.74121

94

711

5.361702

0.659574

0.198413

0

0.01855

0.165963

711

32

78

22.21875

0.831366

0.097046

0

0.2125

0

1

0

true

0.043478

0.521739

0

0.521739

0.043478

0

null

0

null

0

1

0

1

0

1

0

3

3a2a846e73eb8e235178c71a7428638a17d40ebe

468

py

Python

ceml/backend/torch/costfunctions/losses.py

andreArtelt/ceml

364d4630d6a01592c2ab86f2d53dbb7feb682381

[ "MIT" ]

24

2019-07-12T08:11:25.000Z

2021-12-09T19:24:53.000Z

ceml/backend/torch/costfunctions/losses.py

andreArtelt/ceml

364d4630d6a01592c2ab86f2d53dbb7feb682381

[ "MIT" ]

6

2020-09-28T04:42:44.000Z

2021-09-27T06:59:36.000Z

ceml/backend/torch/costfunctions/losses.py

andreArtelt/ceml

364d4630d6a01592c2ab86f2d53dbb7feb682381

[ "MIT" ]

7

2019-09-11T13:54:57.000Z

2021-01-14T13:13:26.000Z

# -*- coding: utf-8 -*- import torch def min_of_list(x): return torch.min(x) def loglikelihood(y_pred, y_target): return torch.log(y_pred)[y_target] def negloglikelihood(y_pred, y_target): return -1. * loglikelihood(y_pred, y_target) def l1(x, x_orig): return torch.sum(torch.abs(x - x_orig)) def l2(x, x_orig): return torch.sum(torch.pow(x - x_orig, 2)) def lmad(x, x_orig, mad): return torch.sum(torch.div(torch.abs(x_orig - x), mad))

21.272727

59

0.675214

84

468

3.571429

0.333333

0.1

0.16

0.473333

0.166667

0

0.012853

0.168803

468

21

60

22.285714

0.758355

0.044872

0

1

0.461538

false

0

0.076923

0.461538

1

0

null

0

null

0

1

0

1

0

3

3a2d19ae806ea485e094c3010253894ae8f262a3

231

py

Python

tests/web.adblockplus.org/data/dataDonationPages.py

adblockplus/web.adblockplus.org

c2c570ce4f4296afc3577afe233c6b23b128f206

[ "MIT" ]

9

2016-01-29T18:05:29.000Z

2021-10-06T04:21:55.000Z

tests/web.adblockplus.org/data/dataDonationPages.py

adblockplus/web.adblockplus.org

c2c570ce4f4296afc3577afe233c6b23b128f206

[ "MIT" ]

9

2015-04-06T19:03:32.000Z

2019-05-28T13:34:55.000Z

tests/web.adblockplus.org/data/dataDonationPages.py

adblockplus/web.adblockplus.org

c2c570ce4f4296afc3577afe233c6b23b128f206

[ "MIT" ]

18

2015-04-06T17:42:31.000Z

2021-10-06T04:26:29.000Z

TEST_DATA = [( 'donation_page', 'https://adblockplus.org/donate', ), ( 'update_page', 'https://new.adblockplus.org/update', ), ( 'first_run_page', 'https://welcome.adblockplus.org/installed' )]

19.25

49

0.584416

23

231

5.652174

0.608696

0.207692

0

0.220779

231

11

50

21

0.722222

0

0.2

0

0.621739

0

1

0

false

0

1

0

null

1

0

1

0

null

0

3

3a34d0c1a2ba828bfddc644d06fb930cb96d580a

106

py

Python

tvsched/adapters/repos/actor/models.py

astsu-dev/tv-schedule

1cea36147e66b7163df6f7098cfda4d43f3bdde2

[ "MIT" ]

null

tvsched/adapters/repos/actor/models.py

astsu-dev/tv-schedule

1cea36147e66b7163df6f7098cfda4d43f3bdde2

[ "MIT" ]

null

tvsched/adapters/repos/actor/models.py

astsu-dev/tv-schedule

1cea36147e66b7163df6f7098cfda4d43f3bdde2

[ "MIT" ]

null

from typing import TypedDict class ActorRecord(TypedDict): id: int name: str image_url: str

13.25

29

0.698113

14

106

5.214286

0.857143

0

0.245283

106

7

30

15.142857

0.9125

0

1

0

true

0

0.2

0

1

0

1

0

null

0

1

0

null

0

1

0

3

3a38cabc185673a468aadd76dc0bcedc03ff0832

58

py

Python

atest/testresources/res_and_var_files/variables_in_pythonpath.py

gdw2/robot-framework

f25068edf1502e76ba8664d4b5ed1aebe0ee2434

[ "ECL-2.0", "Apache-2.0" ]

null

atest/testresources/res_and_var_files/variables_in_pythonpath.py

gdw2/robot-framework

f25068edf1502e76ba8664d4b5ed1aebe0ee2434

[ "ECL-2.0", "Apache-2.0" ]

null

atest/testresources/res_and_var_files/variables_in_pythonpath.py

gdw2/robot-framework

f25068edf1502e76ba8664d4b5ed1aebe0ee2434

[ "ECL-2.0", "Apache-2.0" ]

null

PPATH_VARFILE = "Variable from varible file in PYTHONPATH"

58

0.827586

8

58

5.875

1

0

0.12069

58

1

58

0.921569

0

0.677966

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

3

3a479fb3000764f20bccacc1f3a7640e91b3135c

4,480

py

Python

aasaan/utils/datedeux.py

deepakkt/aasaan

77ef72e785e6ae562f51ae64fa9d85faf860c315

[ "MIT" ]

null

aasaan/utils/datedeux.py

deepakkt/aasaan

77ef72e785e6ae562f51ae64fa9d85faf860c315

[ "MIT" ]

15

2020-06-05T19:26:26.000Z

2022-03-11T23:33:53.000Z

aasaan/utils/datedeux.py

deepakkt/aasaan

77ef72e785e6ae562f51ae64fa9d85faf860c315

[ "MIT" ]

null

'''Copyright 2017, Deepak Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. ''' from datetime import date, datetime from functools import partial import re class DateDeux(date): def pydate(self): return date(self.year, self.month, self.day) @classmethod def fromisodate(self, isodatestr): try: return DateDeux(*(map(int, isodatestr.split('-')))) except: return None @classmethod def frompydate(self, pydate_object): return DateDeux(pydate_object.year, pydate_object.month, pydate_object.day) def monthstart(self): return DateDeux(self.year, self.month, 1) def monthend(self): return DateDeux.fromordinal(DateDeux(self.year, self.month + 1, 1).toordinal() - 1) def yearend(self): return DateDeux(self.year, 12, 31) def yearstart(self): return DateDeux(self.year, 1, 1) def dayname(self): return ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday'][self.weekday()] def dayname_short(self): return self.dayname()[:3] def monthname(self): return ['', 'January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December'][self.month] def monthname_short(self): return self.monthname()[:3] def dateformat(self, format): def _format_as_int(number, length): if length < len(str(number)): return str(number)[-length:] format = "%%0%dd" % length return format % number def _format_month(*args): return self.monthname_short() def _re_match(matchstring, regex): return re.findall(regex, matchstring)[0] matches = list(map(partial(_re_match, format), ['y+', 'm+', 'd+'])) result = format[:] result = result.replace(matches[0], _format_as_int(self.year, len(matches[0]))) result = result.replace(matches[2], _format_as_int(self.day, len(matches[2]))) _month_func = _format_month if len(matches[1]) == 3 else _format_as_int result = result.replace(matches[1], _month_func(self.month, len(matches[1]))) return result def yearcalendar(self): _start = DateDeux(self.year, 1, 1) _end = DateDeux(self.year, 12, 31) diff = _end.toordinal() - _start.toordinal() + 1 return (_start + x for x in range(0, diff)) def monthcalendar(self): _start = self.monthstart() _end = self.monthend() diff = _end.toordinal() - _start.toordinal() + 1 return (_start + x for x in range(0, diff)) def __add__(self, numdays): return DateDeux.fromordinal(self.toordinal() + numdays) def __sub__(self, numdays): try: return self.toordinal() - numdays.toordinal() except AttributeError: return DateDeux.fromordinal(self.toordinal() - numdays) def __iter__(self): return iter((self.year, self.month, self.day))

41.481481

755

0.669866

570

4,480

5.17193

0.368421

0.033921

0.032564

0.023066

0.20692

0.154681

0.12076

0.088195

0

0.011301

0.229688

4,480

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756

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0

1

0

3

3a4d1d832dba534275782edd0f7fd6f939a50c60

1,987

py

Python

tests/unit/test_nova_client.py

abdullahzamanbabar/syntribos

2d0a6344fe14c8edc6c5c1eba7adbedc154ff579

[ "Apache-2.0" ]

277

2015-09-23T22:55:16.000Z

2020-05-17T18:45:46.000Z

tests/unit/test_nova_client.py

abdullahzamanbabar/syntribos

2d0a6344fe14c8edc6c5c1eba7adbedc154ff579

[ "Apache-2.0" ]

null

tests/unit/test_nova_client.py

abdullahzamanbabar/syntribos

2d0a6344fe14c8edc6c5c1eba7adbedc154ff579

[ "Apache-2.0" ]

72

2016-01-04T18:57:06.000Z

2020-05-07T14:07:30.000Z

# Copyright 2016 Intel # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import mock import testtools from syntribos.extensions.nova import client from syntribos.utils.config_fixture import ConfFixture class Content(object): id = 1234 class _Fakeserver(object): """Fake nova client object.""" def create(*args, **kwargs): return Content() def list(data): return [] class _FakeHypervisor(object): def list(data): return [Content()] class _FakeAggregates(object): def create(*args, **kwargs): return Content() def list(data): return [] class _FakeStorage(object): """Fake storage client.""" servers = _Fakeserver() # noqa hypervisors = _FakeHypervisor() # noqa aggregates = _FakeAggregates() # noqa def fake_get_client(): return _FakeStorage() class TestNovaClientCreateResources(testtools.TestCase): """Tests all getter methods for nova extension client.""" @mock.patch( "syntribos.extensions.nova.client._get_client", side_effect=fake_get_client) def test_get_hypervisor_id(self, get_client_fn): self.useFixture(ConfFixture()) self.assertEqual(1234, client.get_hypervisor_id()) @mock.patch( "syntribos.extensions.nova.client._get_client", side_effect=fake_get_client) def test_get_aggregate_id(self, get_client_fn): self.useFixture(ConfFixture()) self.assertEqual(1234, client.get_aggregate_id())

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0

null

0

null

0

1

0

1

0

3

3a58ae95d719e650ef8251214e5592bff3f6c967

303

py

Python

ACME/utility/flipud.py

mauriziokovacic/ACME

2615b66dd4addfd5c03d9d91a24c7da414294308

[ "MIT" ]

3

2019-10-23T23:10:55.000Z

2021-09-01T07:30:14.000Z

ACME/utility/flipud.py

mauriziokovacic/ACME-Python

2615b66dd4addfd5c03d9d91a24c7da414294308

[ "MIT" ]

null

ACME/utility/flipud.py

mauriziokovacic/ACME-Python

2615b66dd4addfd5c03d9d91a24c7da414294308

[ "MIT" ]

1

2020-07-11T11:35:43.000Z

import torch def flipud(tensor): """ Flips a given tensor along the first dimension (up to down) Parameters ---------- tensor a tensor at least two-dimensional Returns ------- Tensor the flipped tensor """ return torch.flip(tensor, dims=[0])

15.15

63

0.567657

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0.313531

303

19

64

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null

0

null

0

1

0

1

0

1

0

3

28b8c475d8668a568d2b1d70899b56350a44fd44

442

py

Python

stream_service/__init__.py

BR1py/stream_service

242af12590fc61e04373278a03060c4a923cbb13

[ "MIT" ]

null

stream_service/__init__.py

BR1py/stream_service

242af12590fc61e04373278a03060c4a923cbb13

[ "MIT" ]

null

stream_service/__init__.py

BR1py/stream_service

242af12590fc61e04373278a03060c4a923cbb13

[ "MIT" ]

null

""" This code is taken from PyPi stream_service package https://github.com/BR1py/stream_service We publish here all the relevant classes for Users """ from __future__ import absolute_import from .server import StreamChannelServer_Process from .client import StreamChannelClient_Thread from .lib import * from .lib.frame import * from .lib.buffer import RING_BUFFER_FULL,RAISE_BUFFER_FULL,SKIP_BUFFER_FULL,CLEAR_BUFFER_FULL,WAIT_BUFFER_FULL

31.571429

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0.839367

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5.415385

0.615385

0.142045

0.073864

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0.104072

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111

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0.886364

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null

0

null

0

1

0

1

0

1

0

3

28c2ce7d0ea4c982aa01363dd262f9271de8dd0d

313

py

Python

samples/generated/Problem5.py

ucsd-wic-bpc/jsonstubber

0c50d84af28be4a1905d6064aae028e1a4403509

[ "MIT" ]

null

samples/generated/Problem5.py

ucsd-wic-bpc/jsonstubber

0c50d84af28be4a1905d6064aae028e1a4403509

[ "MIT" ]

null

samples/generated/Problem5.py

ucsd-wic-bpc/jsonstubber

0c50d84af28be4a1905d6064aae028e1a4403509

[ "MIT" ]

null

import json import sys def arrayTest(Arg1, Arg2, Arg3): # TODO return [] def main(): arg_list = json.loads(raw_input()) Arg1 = arg_list[0] Arg2 = arg_list[1] Arg3 = arg_list[2] output = arrayTest(Arg1, Arg2, Arg3) print(output) if __name__ == '__main__': sys.exit(main())

15.65

40

0.613419

44

313

4.068182

0.545455

0.156425

0.189944

0.234637

0

0.051064

0.249201

313

19

41

16.473684

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false

0

0.153846

0.076923

0.384615

0.076923

0

null

0

1

0

null

0

1

0

3

28d86c793cf45088337ce9c5f9e736059d40fef4

819

py

Python

psx/_dump_/35/_dump_ida_/overlay_3/make_psx.py

maoa3/scalpel

2e7381b516cded28996d290438acc618d00b2aa7

[ "Unlicense" ]

15

2018-06-28T01:11:25.000Z

2021-09-27T15:57:18.000Z

psx/_dump_/35/_dump_ida_/overlay_3/make_psx.py

maoa3/scalpel

2e7381b516cded28996d290438acc618d00b2aa7

[ "Unlicense" ]

7

2018-06-29T04:08:23.000Z

2019-10-17T13:57:22.000Z

psx/_dump_/35/_dump_ida_/overlay_3/make_psx.py

maoa3/scalpel

2e7381b516cded28996d290438acc618d00b2aa7

[ "Unlicense" ]

7

2018-06-28T01:11:34.000Z

2020-05-23T09:21:48.000Z

set_name(0x800A2AB8, "VID_OpenModule__Fv", SN_NOWARN) set_name(0x800A2B78, "InitScreens__Fv", SN_NOWARN) set_name(0x800A2C68, "MEM_SetupMem__Fv", SN_NOWARN) set_name(0x800A2C94, "SetupWorkRam__Fv", SN_NOWARN) set_name(0x800A2D24, "SYSI_Init__Fv", SN_NOWARN) set_name(0x800A2E30, "GM_Open__Fv", SN_NOWARN) set_name(0x800A2E54, "PA_Open__Fv", SN_NOWARN) set_name(0x800A2E8C, "PAD_Open__Fv", SN_NOWARN) set_name(0x800A2ED0, "OVR_Open__Fv", SN_NOWARN) set_name(0x800A2EF0, "SCR_Open__Fv", SN_NOWARN) set_name(0x800A2F20, "DEC_Open__Fv", SN_NOWARN) set_name(0x800A3194, "GetVersionString__FPc", SN_NOWARN) set_name(0x800A3268, "GetWord__FPc", SN_NOWARN) set_name(0x800A2F44, "StrDate", SN_NOWARN) set_name(0x800A2F50, "StrTime", SN_NOWARN) set_name(0x800A2F5C, "Words", SN_NOWARN) set_name(0x800A3134, "MonDays", SN_NOWARN)

45.5

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124

819

4.814516

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0.40201

0.413735

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true

0

null

0

1

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null

0

1

0

3

28e70378297a4d95d86a86b32753e66d402e7335

169

py

Python

samples/python/15.handling-attachments/bots/__init__.py

Aliacf21/BotBuilder-Samples

be48548edafd4efdc074f5a59ef2bb3af735ad9a

[ "MIT" ]

1,998

2019-05-07T06:33:22.000Z

2022-03-31T12:59:15.000Z

samples/python/15.handling-attachments/bots/__init__.py

Aliacf21/BotBuilder-Samples

be48548edafd4efdc074f5a59ef2bb3af735ad9a

[ "MIT" ]

1,526

2020-09-05T18:57:14.000Z

2020-12-03T01:45:40.000Z

samples/python/15.handling-attachments/bots/__init__.py

stevkan/BotBuilder-Samples

75a21b412d8873906bed3460f7c5f0940a067d58

[ "MIT" ]

2,820

2016-09-21T03:47:43.000Z

2019-05-03T15:12:46.000Z

24.142857

59

0.786982

19

169

6.736842

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169

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0.181818

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1

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null

0

1

0

null

0

1

0

3

28f9254ad4ce1c0275d71590116f6dfe874a6ad2

81

py

Python

python/775.global-and-local-inversions.py

stavanmehta/leetcode

1224e43ce29430c840e65daae3b343182e24709c

[ "Apache-2.0" ]

null

python/775.global-and-local-inversions.py

stavanmehta/leetcode

1224e43ce29430c840e65daae3b343182e24709c

[ "Apache-2.0" ]

null

python/775.global-and-local-inversions.py

stavanmehta/leetcode

1224e43ce29430c840e65daae3b343182e24709c

[ "Apache-2.0" ]

null

class Solution: def isIdealPermutation(self, A: List[int]) -> bool:

20.25

55

0.617284

9

81

5.555556

1

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81

3

56

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0.833333

0

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null

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1

0

null

0

1

0

null

0

1

0

3

28f98f16562f856d0c08628223b2ab39cfcdcf49

904

py

Python

dampy/lib/AEM.py

ashokkumarta/dampy

432d802f62da95eaa630cae651dabba56d50029c

[ "MIT" ]

12

2019-10-03T11:55:08.000Z

2020-10-27T08:57:54.000Z

dampy/lib/AEM.py

ashokkumarta/dampy

432d802f62da95eaa630cae651dabba56d50029c

[ "MIT" ]

7

2019-10-07T08:57:22.000Z

2019-10-22T11:38:23.000Z

dampy/lib/AEM.py

ashokkumarta/dampy

432d802f62da95eaa630cae651dabba56d50029c

[ "MIT" ]

3

2019-08-20T08:53:25.000Z

2022-02-08T09:21:43.000Z

# ashokkumar.ta@gmail.com / 24-May-2019 import requests, json from requests.auth import HTTPBasicAuth import logging from dampy.lib.Connector import Connector from dampy.lib.Assets import Assets class AEM: '''Class abstracting an AEM instance ''' def __init__(self, host='http://localhost:4502', user='admin', password='admin'): ''' Create an AEM instance >>> AEM() # Creates a handle to AEM instance connecting to http://localhost:4502 with credentials admin/admin >>> AEM('http://my_aem_host:port') # Creates a handle to AEM instance connecting to http://my_aem_host:port with credentials admin/admin >>> AEM('http://my_aem_host:port', 'userid', 'password') # Creates a handle to AEM instance connecting to http://my_aem_host:port with given credentials ''' conn = Connector(host, user, password) self.dam = Assets(conn)

34.769231

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904

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0.19469

904

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0.222222

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null

0

null

0

1

0

1

0

3

e90867ee962f9e0c1cd62b65ee7814b6670d282f

493

py

Python

utils/sample.py

lim0606/pytorch-ardae-vae

52f460a90fa5822692031ab7dcca39fa9168988e

[ "MIT" ]

11

2020-06-11T03:01:46.000Z

2021-06-17T02:59:39.000Z

utils/sample.py

lim0606/pytorch-ardae-vae

52f460a90fa5822692031ab7dcca39fa9168988e

[ "MIT" ]

1

2020-06-18T00:59:24.000Z

2020-06-19T22:55:14.000Z

utils/sample.py

lim0606/pytorch-ardae-vae

52f460a90fa5822692031ab7dcca39fa9168988e

[ "MIT" ]

null

import torch def sample_laplace_noise(loc, scale, shape, dtype, device): ''' https://github.com/pytorch/pytorch/blob/6911ce19d7fcf06e7af241e6494b23acdc320dc4/torch/distributions/laplace.py ''' finfo = torch.finfo(dtype) u = torch.zeros(shape, dtype=dtype, device=device).uniform_(finfo.eps - 1, 1) return loc - scale * u.sign() * torch.log1p(-u.abs()) def sample_unit_laplace_noise(shape, dtype, device): return sample_laplace_noise(0., 1., shape, dtype, device)

37.923077

115

0.718053

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493

5.323077

0.476923

0.115607

0.138728

0

0.066194

0.141988

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12

116

41.083333

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0

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false

0

0.142857

0.714286

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null

0

null

0

1

0

1

0

3

e91e83275c10c3ed8f886f5f3e5c7305ee2e13b3

4,021

py

Python

pygsw/vectors.py

lukecampbell/pygsw

6fff87d7a296007d9b0ae18ccf6d775aacabd744

[ "Apache-2.0" ]

1

2021-08-28T12:20:36.000Z

pygsw/vectors.py

lukecampbell/pygsw

6fff87d7a296007d9b0ae18ccf6d775aacabd744

[ "Apache-2.0" ]

1

2015-05-11T12:50:37.000Z

2017-06-24T23:53:53.000Z

pygsw/vectors.py

lukecampbell/pygsw

6fff87d7a296007d9b0ae18ccf6d775aacabd744

[ "Apache-2.0" ]

4

2015-01-14T16:29:16.000Z

2015-06-09T16:01:37.000Z

import seawater as gsw import ctd import practical_salinity as pracsal import numpy as np alpha = np.vectorize(lambda sa, ct, p : gsw.alpha(sa,ct,p)) alpha_wrt_t_exact = np.vectorize(lambda sa,t,p : gsw.alpha_wrt_t_exact(sa,t,p)) beta_const_t_exact = np.vectorize(lambda sa,t,p : gsw.beta_const_t_exact(sa,t,p)) beta = np.vectorize(lambda sa,ct,p : gsw.beta(sa,ct,p)) cp_t_exact = np.vectorize(lambda sa,t,p : gsw.cp_t_exact(sa,t,p)) ct_freezing = np.vectorize(lambda sa,p,saturation_fraction : gsw.ct_freezing(sa,p,saturation_fraction)) ct_from_pt = np.vectorize(lambda sa,pt : gsw.ct_from_pt(sa,pt)) ct_from_t = np.vectorize(lambda sa,t,p : gsw.ct_from_t(sa,t,p)) deltasa_from_sp = np.vectorize(lambda sp,p,lon,lat: gsw.deltasa_from_sp(sp,p,lon,lat)) delta_sa_ref = np.vectorize(lambda p,lon,lat : gsw.delta_sa_ref(p,lon,lat)) dynamic_enthalpy = np.vectorize(lambda sa,ct,p : gsw.dynamic_enthalpy(sa,ct,p)) enthalpy = np.vectorize(lambda sa,ct,p : gsw.enthalpy(sa,ct,p)) enthalpy_t_exact = np.vectorize(lambda sa,t,p : gsw.enthalpy_t_exact(sa,t,p)) entropy_part = np.vectorize(lambda sa,t,p : gsw.entropy_part(sa,t,p)) entropy_part_zerop = np.vectorize(lambda sa,pt0 : gsw.entropy_part_zerop(sa,pt0)) entropy_t_exact = np.vectorize(lambda sa,t,p : gsw.entropy_t_exact(sa,t,p)) fdelta = np.vectorize(lambda p,lon,lat : gsw.fdelta(p,lon,lat)) gibbs = np.vectorize(lambda ns,nt,np_,sa,t,p : gsw.gibbs(ns,nt,np_,sa,t,p)) gibbs_pt0_pt0 = np.vectorize(lambda sa,pt0 : gsw.gibbs_pt0_pt0(sa,pt0)) hill_ratio_at_sp2 = np.vectorize(lambda t : gsw.hill_ratio_at_sp2(t)) internal_energy = np.vectorize(lambda sa,ct,p : gsw.internal_energy(sa,ct,p)) kappa_t_exact = np.vectorize(lambda sa,t,p : gsw.kappa_t_exact(sa,t,p)) latentheat_evap_ct = np.vectorize(lambda sa,ct : gsw.latentheat_evap_ct(sa,ct)) latentheat_evap_t = np.vectorize(lambda sa,t : gsw.latentheat_evap_t(sa,t)) latentheat_melting = np.vectorize(lambda sa,p : gsw.latentheat_melting(sa,p)) pot_rho_t_exact = np.vectorize(lambda sa,t,p,p_ref : gsw.pot_rho_t_exact(sa,t,p,p_ref)) pt0_from_t = np.vectorize(lambda sa,t,p : gsw.pt0_from_t(sa,t,p)) pt_from_ct = np.vectorize(lambda sa,ct : gsw.pt_from_ct(sa,ct)) pt_from_t = np.vectorize(lambda sa,t,p,p_ref : gsw.pt_from_t(sa,t,p,p_ref)) rho = np.vectorize(lambda sa,ct,p : gsw.rho(sa,ct,p)) rho_t_exact = np.vectorize(lambda sa,t,p : gsw.rho_t_exact(sa,t,p)) saar = np.vectorize(lambda p,lon,lat : gsw.saar(p,lon,lat)) sa_from_sp_baltic = np.vectorize(lambda sp,lon,lat : gsw.sa_from_sp_baltic(sp,lon,lat)) sa_from_sp = np.vectorize(lambda sp,p,lon,lat : gsw.sa_from_sp(sp,p,lon,lat)) sa_from_sstar = np.vectorize(lambda sstar, p, lon, lat : gsw.sa_from_sstar(sstar, p, lon, lat)) sound_speed = np.vectorize(lambda sa,ct,p : gsw.sound_speed(sa,ct,p)) sound_speed_t_exact = np.vectorize(lambda sa,t,p : gsw.sound_speed_t_exact(sa,t,p)) specvol_anom = np.vectorize(lambda sa,ct,p : gsw.specvol_anom(sa,ct,p)) specvol = np.vectorize(lambda sa,ct,p : gsw.specvol(sa,ct,p)) specvol_sso_0_p = np.vectorize(lambda p : gsw.specvol_sso_0_p(p)) specvol_t_exact = np.vectorize(lambda sa,t,p : gsw.specvol_t_exact(sa,t,p)) sp_from_c = np.vectorize(lambda C,t,p : gsw.sp_from_c(C,t,p)) sp_from_sa_baltic = np.vectorize(lambda sa,lon,lat : gsw.sp_from_sa_baltic(sa,lon,lat)) sp_from_sa = np.vectorize(lambda sa,p,lon,lat : gsw.sp_from_sa(sa,p,lon,lat)) sp_from_sr = np.vectorize(lambda sr : gsw.sp_from_sr(sr)) sp_from_sstar = np.vectorize(lambda sstar,p,lon,lat : gsw.sp_from_sstar(sstar,p,lon,lat)) sr_from_sp = np.vectorize(lambda sp : gsw.sr_from_sp(sp)) sstar_from_sa = np.vectorize(lambda sa,p,lon,lat : gsw.sstar_from_sa(sa,p,lon,lat)) sstar_from_sp = np.vectorize(lambda sp,p,lon,lat : gsw.sstar_from_sp(sp,p,lon,lat)) t_freezing = np.vectorize(lambda sa,p,saturation_fraction : gsw.t_freezing(sa,p,saturation_fraction)) t_from_ct = np.vectorize(lambda sa,ct,p : gsw.t_from_ct(sa,ct,p)) ctd_density = np.vectorize(lambda sp, t, p, lat, lon : ctd.density(sp,t,p,lat,lon))

36.554545

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0

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0

null

1

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null

0

3

e931eaa3bf362c69819bccca31193157a5724476

279

py

Python

automol/prop/__init__.py

snelliott/automol

d1f7d51c1bbe06ba7569ea7c75304618cebee198

[ "Apache-2.0" ]

2

2021-03-01T14:23:25.000Z

2021-11-28T19:17:08.000Z

automol/prop/__init__.py

avcopan/autochem

19d9b0402568170ae5ca0adecb460d36f258a9bd

[ "Apache-2.0" ]

1

2021-02-12T21:02:22.000Z

2021-02-12T21:35:33.000Z

automol/prop/__init__.py

avcopan/autochem

19d9b0402568170ae5ca0adecb460d36f258a9bd

[ "Apache-2.0" ]

7

2019-12-18T20:11:06.000Z

2020-10-14T08:54:16.000Z

""" Libraries for handling molecular property calculations """ from automol.prop._wfn import total_dipole_moment from automol.prop._wfn import total_polarizability from automol.prop import freq __all__ = [ 'total_dipole_moment', 'total_polarizability', 'freq' ]

18.6

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null

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null

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1

0

3

e938c882eb22c833a1572fea749efdafd32963d4

339

py

Python

edit/models/common/__init__.py

tpoisonooo/basicVSR_mge

53df836a7dcc075083ef7c9ff7cabea69fec3192

[ "Apache-2.0" ]

28

2021-03-23T09:00:33.000Z

2022-03-10T03:55:00.000Z

edit/models/common/__init__.py

tpoisonooo/basicVSR_mge

53df836a7dcc075083ef7c9ff7cabea69fec3192

[ "Apache-2.0" ]

2

2021-04-17T20:08:55.000Z

2022-02-01T17:48:55.000Z

edit/models/common/__init__.py

tpoisonooo/basicVSR_mge

53df836a7dcc075083ef7c9ff7cabea69fec3192

[ "Apache-2.0" ]

5

2021-05-19T07:35:56.000Z

2022-01-13T02:11:50.000Z

from .utils import default_init_weights from .cost_volume import compute_cost_volume, add_H_W_Padding from .weightnet import WeightNet, WeightNet_DW from .frn import FilterResponseNorm2d from .bam import BAM from .coordi_attention import CoordAtt from .shuffle import ShuffleV2Block from .net import MobileNeXt from .net import ResBlocks

30.818182

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5.8125

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0.923333

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3

e93d80623e73a2dad236b0ffe8a94334622e91d3

232

py

Python

repos/system_upgrade/el7toel8/models/ntpmigrationdecision.py

sm00th/leapp-repository

1c171ec3a5f9260a3c6f84a9b15cad78a875ac61

[ "Apache-2.0" ]

21

2018-11-20T15:58:39.000Z

2022-03-15T19:57:24.000Z

repos/system_upgrade/el7toel8/models/ntpmigrationdecision.py

sm00th/leapp-repository

1c171ec3a5f9260a3c6f84a9b15cad78a875ac61

[ "Apache-2.0" ]

732

2018-11-21T18:33:26.000Z

2022-03-31T16:16:24.000Z

repos/system_upgrade/el7toel8/models/ntpmigrationdecision.py

sm00th/leapp-repository

1c171ec3a5f9260a3c6f84a9b15cad78a875ac61

[ "Apache-2.0" ]

85

2018-11-20T17:55:00.000Z

2022-03-29T09:40:31.000Z

from leapp.models import Model, fields from leapp.topics import SystemInfoTopic class NtpMigrationDecision(Model): topic = SystemInfoTopic migrate_services = fields.List(fields.String()) config_tgz64 = fields.String()

25.777778

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3aa6157ae2bc459d41f2cd23e82663126c843205

1,618

py

Python

stubs.min/System/Windows/__init___parts/DataTemplate.py

denfromufa/ironpython-stubs

4d2b405eda3ceed186e8adca55dd97c332c6f49d

[ "MIT" ]

1

2017-07-07T11:15:45.000Z

stubs.min/System/Windows/__init___parts/DataTemplate.py

hdm-dt-fb/ironpython-stubs

4d2b405eda3ceed186e8adca55dd97c332c6f49d

[ "MIT" ]

null

stubs.min/System/Windows/__init___parts/DataTemplate.py

hdm-dt-fb/ironpython-stubs

4d2b405eda3ceed186e8adca55dd97c332c6f49d

[ "MIT" ]

null

class DataTemplate(FrameworkTemplate,INameScope,ISealable,IHaveResources,IQueryAmbient): """ Describes the visual structure of a data object. DataTemplate() DataTemplate(dataType: object) """ def ValidateTemplatedParent(self,*args): """ ValidateTemplatedParent(self: DataTemplate,templatedParent: FrameworkElement) Checks the templated parent against a set of rules. templatedParent: The element this template is applied to. """ pass def __init__(self,*args): """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod def __new__(self,dataType=None): """ __new__(cls: type) __new__(cls: type,dataType: object) """ pass DataTemplateKey=property(lambda self: object(),lambda self,v: None,lambda self: None) """Gets the default key of the System.Windows.DataTemplate. Get: DataTemplateKey(self: DataTemplate) -> object """ DataType=property(lambda self: object(),lambda self,v: None,lambda self: None) """Gets or sets the type for which this System.Windows.DataTemplate is intended. Get: DataType(self: DataTemplate) -> object Set: DataType(self: DataTemplate)=value """ Triggers=property(lambda self: object(),lambda self,v: None,lambda self: None) """Gets a collection of triggers that apply property values or perform actions based on one or more conditions. Get: Triggers(self: DataTemplate) -> TriggerCollection """

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1,618

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216

33.708333

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null

0

null

0

1

0

1

0

1

0

3

3aa79a1ccb33c26ad180acab5d25297172ed89c7

203

py

Python

home/urls.py

Plydow/escapeServe

04fc3bdd467ab7d4a5ad0430da52edd11b124751

[ "MIT" ]

null

home/urls.py

Plydow/escapeServe

04fc3bdd467ab7d4a5ad0430da52edd11b124751

[ "MIT" ]

null

home/urls.py

Plydow/escapeServe

04fc3bdd467ab7d4a5ad0430da52edd11b124751

[ "MIT" ]

null

from django.contrib import admin from django.urls import path import home.views as views urlpatterns = [ path('', views.step, name='step'), path('azertyuiop', views.restart, name='restart'), ]

20.3

54

0.704433

27

203

5.296296

0.555556

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0.157635

203

9

55

22.555556

0.836257

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null

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1

0

null

0

1

0

3

3ab04c0cd1c233c71c9c9669e96c0c0e57840b77

189

py

Python

hostel/common/urls_staff.py

phylocko/hostel

ff9fb7eb2d38e8cbe4feb096a07f0c5cea1a5365

[ "Apache-2.0" ]

null

hostel/common/urls_staff.py

phylocko/hostel

ff9fb7eb2d38e8cbe4feb096a07f0c5cea1a5365

[ "Apache-2.0" ]

null

hostel/common/urls_staff.py

phylocko/hostel

ff9fb7eb2d38e8cbe4feb096a07f0c5cea1a5365

[ "Apache-2.0" ]

1

2020-10-31T17:33:52.000Z

from django.urls import path from . import views urlpatterns = [ path('', views.employes_view, name='employes'), path('<int:employee_id>/', views.employee_view, name='employee'), ]

27

69

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189

5.375

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0.137566

189

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70

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null

0

1

0

null

0

1

0

3

3ad11745e2dcba9a4c9cba424c16092eb35feb35

530

py

Python

tests/test_utils.py

mk-fg/aetcd

ad133dba914ed12e1c35ce4318de80b13626f4f6

[ "Apache-2.0" ]

2

2022-02-02T15:18:04.000Z

2022-03-16T06:39:26.000Z

tests/test_utils.py

mk-fg/aetcd

ad133dba914ed12e1c35ce4318de80b13626f4f6

[ "Apache-2.0" ]

6

2022-01-12T05:29:15.000Z

2022-01-18T00:29:57.000Z

tests/test_utils.py

mk-fg/aetcd

ad133dba914ed12e1c35ce4318de80b13626f4f6

[ "Apache-2.0" ]

2

2022-01-11T14:34:18.000Z

2022-01-28T15:53:20.000Z

import aetcd.utils def test_prefix_range_end(): assert aetcd.utils.prefix_range_end(b'foo') == b'fop' assert aetcd.utils.prefix_range_end(b'ab\xff') == b'ac\xff' assert aetcd.utils.prefix_range_end( b'a\xff\xff\xff\xff\xff') == b'b\xff\xff\xff\xff\xff' def test_to_bytes(): assert isinstance(aetcd.utils.to_bytes(b'key'), bytes) is True assert isinstance(aetcd.utils.to_bytes('key'), bytes) is True assert aetcd.utils.to_bytes(b'key') == b'key' assert aetcd.utils.to_bytes('key') == b'key'

33.125

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0.690566

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530

3.815217

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15

67

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null

1

0

null

0

1

0

1

0

3

3aefd03b8403d7d970436569e5ce258d9a9b5fac

274

py

Python

services/apis/django-api/source/api/gunicorn.conf.py

fzi-forschungszentrum-informatik/BEMCom

0a0c359d889c6d5975e4d4d3b17c24adb5bf883b

[ "MIT" ]

4

2021-09-10T09:46:18.000Z

2021-12-05T17:55:14.000Z

services/apis/django-api/source/api/gunicorn.conf.py

fzi-forschungszentrum-informatik/BEMCom

0a0c359d889c6d5975e4d4d3b17c24adb5bf883b

[ "MIT" ]

null

services/apis/django-api/source/api/gunicorn.conf.py

fzi-forschungszentrum-informatik/BEMCom

0a0c359d889c6d5975e4d4d3b17c24adb5bf883b

[ "MIT" ]

null

""" This is a configuration file for the gunicorn production server. Currently, this only contains some code required by the Prometheus exporter. """ from prometheus_client import multiprocess def child_exit(server, worker): multiprocess.mark_process_dead(worker.pid)

27.4

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0.80292

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0.135037

274

9

77

30.444444

0.911392

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0.333333

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null

0

1

0

null

0

1

0

1

0

3

3af7c4e714ad1037bec37ca9128f08b2767246a1

3,231

py

Python

rough_trade_calendar/views.py

craiga/rough-trade-calendar

175c61391a50eaa4ada3dbc062158773cf72d9c0

[ "MIT" ]

1

2020-12-19T18:48:42.000Z

rough_trade_calendar/views.py

craiga/rough-trade-calendar

175c61391a50eaa4ada3dbc062158773cf72d9c0

[ "MIT" ]

430

2019-07-03T21:09:12.000Z

2021-11-09T08:09:41.000Z

rough_trade_calendar/views.py

craiga/rough-trade-calendar

175c61391a50eaa4ada3dbc062158773cf72d9c0

[ "MIT" ]

1

2019-12-20T16:59:18.000Z

"""Views.""" from datetime import timedelta from django.contrib.syndication.views import Feed from django.shortcuts import get_object_or_404 from django.urls import reverse from django.utils import timezone from django.views.generic import ListView from django_ical.views import ICalFeed from html2text import html2text from rough_trade_calendar import models class Locations(ListView): """Location listing view.""" model = models.Location context_object_name = "locations" class LocationEvents(ListView): """Events listing view.""" model = models.Event context_object_name = "events" def get_queryset(self): # pylint: disable=attribute-defined-outside-init self.location = get_object_or_404(models.Location, slug=self.kwargs["location"]) return models.Event.objects.filter( location=self.location, start_at__gte=timezone.now() - timedelta(days=1) ).order_by("start_at") def get_context_data(self, *args, **kwargs): # pylint: disable=arguments-differ context = super().get_context_data(*args, **kwargs) context["location"] = self.location return context # pylint: disable=no-self-use class LocationEventsCalendar(ICalFeed): """Location iCal feed.""" def get_object(self, request, location): # pylint: disable=arguments-differ return models.Location.objects.get(slug=location) def title(self, location): return f"Rough Trade {location.name} Events" def timezone(self, location): return location.timezone def items(self, location): return models.Event.objects.filter( location=location, start_at__gte=timezone.now() - timedelta(days=1) ).select_related("location") def item_title(self, item): return item.name def item_description(self, item): description = html2text(item.detail_html) if item.youtube_id: description += f"\n\nhttps://www.youtube.com/watch/?v={ item.youtube_id }" return description def item_start_datetime(self, item): return item.start_at def item_end_datetime(self, item): return item.start_at + timedelta(hours=2) def item_link(self, item): return item.url def item_location(self, item): return item.location.name class LocationEventsFeed(Feed): """Location RSS feed.""" description_template = "rough_trade_calendar/description.html" def get_object(self, request, location): # pylint: disable=arguments-differ return models.Location.objects.get(slug=location) def link(self, location): return reverse("location_events", kwargs={"location": location.slug}) def title(self, location): return location.name def items(self, location): return ( models.Event.objects.filter( location=location, start_at__gte=timezone.now() - timedelta(days=1) ) .select_related("location") .order_by("created") ) def item_link(self, item): return item.url def item_pubdate(self, item): return item.created def item_updateddate(self, item): return item.modified

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null

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null

0

1

0

1

0

3

aaf9b71283a376497f972d924ec457759c734cb0

448

py

Python

utils/clean_json5.py

rw1nkler/prjxray

aff076b47dcf6d653eb3ce791b41fd6cf4343edd

[ "ISC" ]

583

2017-12-21T11:06:13.000Z

2022-02-20T21:27:33.000Z

utils/clean_json5.py

rw1nkler/prjxray

aff076b47dcf6d653eb3ce791b41fd6cf4343edd

[ "ISC" ]

1,212

2017-12-22T15:05:06.000Z

2022-02-19T13:04:59.000Z

utils/clean_json5.py

mfkiwl/prjxray-xilinx-7-bitstream-fortmat

5349556bc2c230801d6df0cf11bccb9cfd171639

[ "ISC" ]

134

2017-12-21T10:16:50.000Z

2022-02-16T06:42:04.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- # # Copyright (C) 2017-2020 The Project X-Ray Authors. # # Use of this source code is governed by a ISC-style # license that can be found in the LICENSE file or at # https://opensource.org/licenses/ISC # # SPDX-License-Identifier: ISC import pyjson5 import simplejson import sys def main(): simplejson.dump(pyjson5.load(sys.stdin), sys.stdout, indent=2) if __name__ == "__main__": main()

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0.703125

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0.034853

0.167411

448

21

67

21.333333

0.788204

0.587054

0

0.045714

0

1

0.142857

true

0

0.428571

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0

null

0

null

0

1

0

1

0

1

0

3

c902eb46303d85b4bee841352960d866402c6bd6

1,295

py

Python

class5_pandas.py

MarisaAlves/class5

a715edf4f9f2dc8475d2876281cd5c1e492744bc

[ "MIT" ]

null

class5_pandas.py

MarisaAlves/class5

a715edf4f9f2dc8475d2876281cd5c1e492744bc

[ "MIT" ]

null

class5_pandas.py

MarisaAlves/class5

a715edf4f9f2dc8475d2876281cd5c1e492744bc

[ "MIT" ]

null

import pandas as pd #creating dataframe from files insurance_df = pd.read_csv(filepath_or_buffer = '~/Downloads/insurance.csv', sep =',', header=0) #print(insurance_df.to_string()) print(insurance_df[['age']]) print(insurance_df.columns) print(insurance_df.index) print(insurance_df.dtypes) print(insurance_df.shape) print(insurance_df.info()) print(insurance_df.describe()) #to add columns names, or replace existing ones: insurance_df.columns = ['a','b','c','d','e'] #printing the first 5 lines of age, children, charges print(insurance_df.loc[0:4, ('age', 'children', 'charges')]) #or print(insurance_df[['age','children', 'charges']].head(5)) #print mean of charges print("Mean of charges=", insurance_df['charges'].mean()) print() #print row where the charges value is 10797.3362 print(insurance_df.loc[insurance_df['charges']==10797.3362]) #or print(insurance_df[insurance_df['charges']==10797.3362]) #printing age of person who paid maximum charge print(insurance_df[insurance_df['charges']==insurance_df['charges'].max()]) print(insurance_df['region'].value_counts()) print(insurance_df['children'].value_counts()) #correlation method. To print a correlation matrix. Should usually normalize to have the values all on the same scale print(insurance_df.corr())

22.719298

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0.894737

0

null

1

0

null

0

1

0

3

c9272c4db01307c1c46a5839ed779c6370e6314f

309

py

Python

src/GimelStudio/project/io.py

iwoithe/Gimel-Studio

e2750576e72edee6f2f4c268045b81459df82d89

[ "Apache-2.0" ]

47

2020-05-22T09:10:05.000Z

2021-04-08T06:27:50.000Z

src/GimelStudio/project/io.py

iwoithe/Gimel-Studio

e2750576e72edee6f2f4c268045b81459df82d89

[ "Apache-2.0" ]

24

2020-08-26T13:51:10.000Z

2021-04-18T01:41:51.000Z

src/GimelStudio/project/io.py

iwoithe/Gimel-Studio

e2750576e72edee6f2f4c268045b81459df82d89

[ "Apache-2.0" ]

9

2020-08-16T14:27:14.000Z

2021-02-17T19:04:34.000Z

import io import pickle import os.path import wx from PIL import Image import numpy as np from GimelStudio import meta class GimelStudioProject(object): def __init__(self, parent): self._parent = parent self._version = meta.APP_VERSION def OpenProject(self, path): pass

14.714286

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309

5.146341

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309

20

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false

0.076923

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0

null

0

null

0

1

0

1

0

3

c94696ab61abb7f8504be6bf5a5da9a0098b149d

177

py

Python

ex19.py

cohadar/learn-python-the-hard-way

10d88fe59a8abc5303661cfe91c6db9fa71bdd56

[ "MIT" ]

null

ex19.py

cohadar/learn-python-the-hard-way

10d88fe59a8abc5303661cfe91c6db9fa71bdd56

[ "MIT" ]

null

ex19.py

cohadar/learn-python-the-hard-way

10d88fe59a8abc5303661cfe91c6db9fa71bdd56

[ "MIT" ]

null

def gimmeabreak(njak, zrak): print "njak: %d" % njak print 'zrak: %d' % zrak #this excercise is too easy, so I'll just fool around gimmeabreak(3, 4) gimmeabreak(-2343, 12)

17.7

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4.172414

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177

9

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0

null

0

1

0

null

0

1

0

3

c94b6ab931cb619050438b700ca449c0f3c82121

103

py

Python

generators/simple/templates/src/platform/extensionRunner/corepyutils/typing_aliases.py

jfallaire/generator-ps-boilerplate-project

36f544a54442c191430451715425da98ea76a63e

[ "MIT" ]

2

2019-07-24T16:00:51.000Z

2019-10-03T18:36:20.000Z

generators/simple/templates/src/platform/extensionRunner/corepyutils/typing_aliases.py

jfallaire/generator-ps-boilerplate-project

36f544a54442c191430451715425da98ea76a63e

[ "MIT" ]

19

2019-06-20T21:58:44.000Z

2020-11-05T13:48:42.000Z

generators/simple/templates/src/platform/extensionRunner/corepyutils/typing_aliases.py

jfallaire/generator-ps-boilerplate-project

36f544a54442c191430451715425da98ea76a63e

[ "MIT" ]

1

2019-06-22T17:30:42.000Z

"""Common typing aliases""" from typing import Any, Callable Comparison = Callable[[Any, Any], bool]

17.166667

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0.718447

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null

0

1

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null

0

1

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3

c95af28fb78b2352bf87d50fbce7b0291483c974

21

py

Python

Instance/config.py

OKC254/one-minute-pitch

98692310bb4cc65b395e29d310083f97105a2dac

[ "MIT" ]

null

Instance/config.py

OKC254/one-minute-pitch

98692310bb4cc65b395e29d310083f97105a2dac

[ "MIT" ]

null

Instance/config.py

OKC254/one-minute-pitch

98692310bb4cc65b395e29d310083f97105a2dac

[ "MIT" ]

null

SECRET_KEY = 'United'

21

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null

0

1

0

null

0

3

c95b70164433c47f43340eb21c6d916cf1d00737

523

py

Python

textClassifier/scoring_methods.py

vikash06131721/autoMltext

96f41161947d78c663e7f6b4ff452fc5bf2462e8

[ "MIT" ]

null

textClassifier/scoring_methods.py

vikash06131721/autoMltext

96f41161947d78c663e7f6b4ff452fc5bf2462e8

[ "MIT" ]

null

textClassifier/scoring_methods.py

vikash06131721/autoMltext

96f41161947d78c663e7f6b4ff452fc5bf2462e8

[ "MIT" ]

null

from sklearn.metrics import f1_score, \ precision_score, recall_score, roc_auc_score, \ accuracy_score import warnings warnings.filterwarnings("ignore") def scorer_f1(y_true,y_pred): return f1_score(y_true,y_pred) def scorer_precision(y_true,y_pred): return precision_score(y_true,y_pred) def scorer_recall(y_true,y_pred): return recall_score(y_true,y_pred) def scorer_accuracy(y_true,y_pred): return accuracy_score(y_true,y_pred) def scorer_roc(y_true,y_pred): return roc_auc_score(y_true,y_pred)

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null

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3

c969d9fd3b4a766222c9969f69f892313278e3a1

344

py

Python

helper.py

Paschoali/product-stars-api

7e16e5c64f52e67cd122d52bbab723ff8cc3429e

[ "MIT" ]

null

helper.py

Paschoali/product-stars-api

7e16e5c64f52e67cd122d52bbab723ff8cc3429e

[ "MIT" ]

null

helper.py

Paschoali/product-stars-api

7e16e5c64f52e67cd122d52bbab723ff8cc3429e

[ "MIT" ]

null

import datetime def get_hours_in_seconds(hours): return datetime.timedelta(hours=hours).seconds def is_json_content(request): return True if request.content_type == 'application/json' else False def is_empty_content_length(request): return True if request and request.content_length and request.content_length <= 0 else False

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null

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null

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1

0

1

0

3

c976c562b99f9afc0e4de3808b382679280a2559

1,674

py

Python

pysynphot/__init__.py

dobos/pysynphot

5d2e0b52ceda78890940ac9239c2d88e149e0bed

[ "BSD-3-Clause" ]

null

pysynphot/__init__.py

dobos/pysynphot

5d2e0b52ceda78890940ac9239c2d88e149e0bed

[ "BSD-3-Clause" ]

null

pysynphot/__init__.py

dobos/pysynphot

5d2e0b52ceda78890940ac9239c2d88e149e0bed

[ "BSD-3-Clause" ]

null

""" This __init__ file is used to expose the desired elements of the user interface for interactive use. """ from __future__ import absolute_import # For backwards compatibility try: from .version import * except ImportError: __svn_version__ = 'none' __full_svn_info__ = 'none' __svn_revision__ = __svn_version__ __svn_full_info__ = __full_svn_info__ else: __svn_version__ = __version_commit__ __full_svn_info__ = '-'.join( [__version__, __version_post__, __version_commit__,]) + ' ({0})'.format(__version_date__) __svn_revision__ = __svn_version__ __svn_full_info__ = __full_svn_info__ # UI: # AnalyticSpectra: from .spectrum import BlackBody, GaussianSource, FlatSpectrum from .spectrum import Powerlaw as PowerLaw # Tabular Spectra from .spectrum import FileSourceSpectrum as FileSpectrum from .spectrum import ArraySourceSpectrum as ArraySpectrum from .catalog import Icat # Analytic Spectral Elements from .spectrum import Box, UniformTransmission # Tabular Spectral Elements from .spectrum import FileSpectralElement as FileBandpass from .spectrum import ArraySpectralElement as ArrayBandpass # Complicated spectral elements from .obsbandpass import ObsBandpass from .reddening import Extinction # Observations from .observation import Observation # Other constructs from .observationmode import ObservationMode as Obsmode from numpy import arange as Waveset # Get Vega from .spectrum import Vega # Get cache from . import Cache # Permit resetting refdata from .refs import setref, showref, getref # Others from .locations import get_data_filename from .spparser import parse_spec from . import tables

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null

0

1

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1

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3

a314bbdb68810ccc13f1f7498a1f444808678843

2,063

py

Python

tests/test_needs_update.py

thusoy/porridge

f332b67f29bcbc19b7bb7da2f68ad3af35a9cd4d

[ "MIT" ]

13

2017-07-26T14:20:27.000Z

2021-07-12T17:17:21.000Z

tests/test_needs_update.py

thusoy/porridge

f332b67f29bcbc19b7bb7da2f68ad3af35a9cd4d

[ "MIT" ]

1

2017-03-25T23:37:01.000Z

2017-04-23T18:43:41.000Z

tests/test_needs_update.py

thusoy/porridge

f332b67f29bcbc19b7bb7da2f68ad3af35a9cd4d

[ "MIT" ]

1

2018-08-02T07:48:40.000Z

import pytest from porridge import Porridge # All of these test cases are relative to the parameters of the Porridge # instance created by `create_porridge()` @pytest.mark.parametrize('reason,encoded', ( ('old version, non-explicit', '$argon2i$m=16,t=2,p=2,keyid=key$AhkxHIhp4o4KOuYBCbduUg$vXvsYVvrrzRdOMpVLXgs4w'), ('old version, explicit', '$argon2i$v=16$m=16,t=2,p=2,keyid=key$AhkxHIhp4o4KOuYBCbduUg$vXvsYVvrrzRdOMpVLXgs4w'), ('lesser parallelism', '$argon2i$v=19$m=16,t=2,p=1,keyid=key$AhkxHIhp4o4KOuYBCbduUg$vXvsYVvrrzRdOMpVLXgs4w'), ('lesser memory cost', '$argon2i$v=19$m=8,t=2,p=2,keyid=key$AhkxHIhp4o4KOuYBCbduUg$vXvsYVvrrzRdOMpVLXgs4w'), ('lesser time cost', '$argon2i$v=19$m=16,t=1,p=2,keyid=key$AhkxHIhp4o4KOuYBCbduUg$vXvsYVvrrzRdOMpVLXgs4w'), ('shorter salt', '$argon2i$v=19$m=16,t=2,p=2,keyid=key$NuPQLVdIzpQ$vXvsYVvrrzRdOMpVLXgs4w'), ('shorter encode', '$argon2i$v=19$m=16,t=2,p=2,keyid=key$AhkxHIhp4o4KOuYBCbduUg$6tMIIoujQMCm25+NF34'), ('missing secret', '$argon2i$v=19$m=16,t=2,p=2$AhkxHIhp4o4KOuYBCbduUg$vXvsYVvrrzRdOMpVLXgs4w'), ('old secret', '$argon2i$v=19$m=16,t=2,p=2,keyid=oldkey$AhkxHIhp4o4KOuYBCbduUg$vXvsYVvrrzRdOMpVLXgs4w'), )) def test_needs_update_old_parameters(reason, encoded): porridge = create_porridge() assert porridge.needs_update(encoded), reason # old, explicit version assert porridge.needs_update('$argon2i$v=16$m=8,t=2,p=1$AhkxHIhp4o4KOuYBCbduUg$vXvsYVvrrzRdOMpVLXgs4w') @pytest.mark.parametrize('reason,encoded', ( ('identical', '$argon2i$v=19$m=16,t=2,p=2,keyid=key$AhkxHIhp4o4KOuYBCbduUg$vXvsYVvrrzRdOMpVLXgs4w'), ('higher', '$argon2i$v=21$m=16,t=3,p=3,keyid=key$AhkxHIhp4o4KOuYBCbduUg$vXvsYVvrrzRdOMpVLXgs4w'), )) def test_needs_update_up_to_date(reason, encoded): porridge = create_porridge() assert porridge.needs_update(encoded) == False, reason def create_porridge(): return Porridge('key:secret,oldkey:oldsecret', time_cost=2, memory_cost=16, parallelism=2, hash_len=16, salt_len=16, )

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276

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null

0

1

null

0

3

a35d521e9b6dc19156a1cdf393ae4aaae41e9947

2,738

py

Python

covid19_il/data_handler/data_handlers/quarantine.py

natylaza89/covid19_il

ee5c46670383e76074edac4efe19f8d20e2f914d

[ "MIT" ]

1

2020-11-17T17:57:17.000Z

covid19_il/data_handler/data_handlers/quarantine.py

natylaza89/covid19_il

ee5c46670383e76074edac4efe19f8d20e2f914d

[ "MIT" ]

null

covid19_il/data_handler/data_handlers/quarantine.py

natylaza89/covid19_il

ee5c46670383e76074edac4efe19f8d20e2f914d

[ "MIT" ]

1

2020-11-17T17:57:20.000Z

from functools import lru_cache from typing import Dict, Generator from covid19_il.logger.logger import Logger from covid19_il.data_handler.data_handlers.data_handler import DataHandler from covid19_il.data_handler.enums.quarantine_amount import QuarantineAmount class Quarantine(DataHandler): """ Covid19_IL Quarantine Data Handler. Attributes: None. Methods: isolated_today_contact_with_confirmed(self): Yields date: amount of isolated today_contact with confirmed. isolated_today_abroad(self): Yields date: amount of isolated today abroad. new_contact_with_confirmed(self): Yields date: amount of new contact with confirmed. new_from_abroad(self): Yields date: amount of new from abroad. """ def __init__(self, logger: Logger.logger, json_data: dict) -> None: """ Initialize Base Class & Instance Attributes """ super().__init__(logger, json_data) @lru_cache def isolated_today_contact_with_confirmed(self) \ -> Generator[Dict[str, str], None, None] or Generator[str, None, None]: """ Yields date: amount of isolated today_contact with confirmed . Args: None. Yields: Tuple[str, str]: desired data or "No Data" as bad result. """ return self._get_data_by_column(QuarantineAmount.isolated_today_contact_with_confirmed.name, ascending_order=True) @lru_cache def isolated_today_abroad(self) -> Generator[Dict[str, str], None, None] or Generator[str, None, None]: """ Yields date: amount of isolated today abroad. Args: None. Yields: Tuple[str, str]: desired data or "No Data" as bad result. """ return self._get_data_by_column(QuarantineAmount.isolated_today_abroad.name, ascending_order=True) @lru_cache def new_contact_with_confirmed(self) -> Generator[Dict[str, str], None, None] or Generator[str, None, None]: """ Yields date: amount of new contact with confirmed. Args: None. Yields: Tuple[str, str]: desired data or "No Data" as bad result. """ return self._get_data_by_column(QuarantineAmount.new_contact_with_confirmed.name, ascending_order=True) @lru_cache def new_from_abroad(self) -> Generator[Dict[str, str], None, None] or Generator[str, None, None]: """ Yields date: amount of new from abroad. Args: None. Yields: Tuple[str, str]: desired data or "No Data" as bad result. """ return self._get_data_by_column(QuarantineAmount.new_from_abroad.name, ascending_order=True)

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0

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2,738

84

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null

0

1

0

null

0

1

0

1

0

3

a38138641f92a1589f5b32a89196cf163905485d

568

py

Python

metakernel/magics/get_magic.py

StephanRempel/metakernel

83bfb3304381808b813762ce3845a722182faac4

[ "BSD-3-Clause" ]

276

2015-01-28T11:18:56.000Z

2022-03-24T06:56:54.000Z

metakernel/magics/get_magic.py

StephanRempel/metakernel

83bfb3304381808b813762ce3845a722182faac4

[ "BSD-3-Clause" ]

176

2015-01-16T01:08:45.000Z

2022-03-03T17:26:03.000Z

metakernel/magics/get_magic.py

StephanRempel/metakernel

83bfb3304381808b813762ce3845a722182faac4

[ "BSD-3-Clause" ]

95

2015-01-16T01:05:37.000Z

2022-02-26T18:03:23.000Z

# Copyright (c) Metakernel Development Team. # Distributed under the terms of the Modified BSD License. from metakernel import Magic class GetMagic(Magic): def line_get(self, variable): """ %get VARIABLE - get a variable from the kernel in a Python-type. This line magic is used to get a variable. Examples: %get x """ self.retval = self.kernel.get_variable(variable) def post_process(self, retval): return self.retval def register_magics(kernel): kernel.register_magics(GetMagic)

23.666667

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568

5.082192

0.547945

0.080863

0.06469

0

0.262324

568

23

73

24.695652

0.885442

0.408451

0

1

0.375

false

0

0.125

0.75

0

null

0

null

0

1

0

1

0

3

a39bb09a5e74fe3753d79f91ff1b62a99a796ab6

211

py

Python

examples/cvpr2020/cifar10_exp_setups/nin.py

chency820/low-rank

53cc6801637692e71cce6e1edf3d71509a9c16bb

[ "BSD-3-Clause" ]

40

2020-05-19T01:31:02.000Z

2022-01-28T00:25:33.000Z

examples/cvpr2020/cifar10_exp_setups/nin.py

chency820/low-rank

53cc6801637692e71cce6e1edf3d71509a9c16bb

[ "BSD-3-Clause" ]

3

2020-09-09T16:04:17.000Z

2022-03-18T00:59:39.000Z

examples/cvpr2020/cifar10_exp_setups/nin.py

chency820/low-rank

53cc6801637692e71cce6e1edf3d71509a9c16bb

[ "BSD-3-Clause" ]

8

2020-09-08T14:11:16.000Z

2022-01-28T00:25:41.000Z

from .vggs import vgg_all from lc.models.torch.nincif import nincif_bn __all__ = ["nin_all"] class nin_all(vgg_all): def __init__(self): super(nin_all, self).__init__("nin_all", nincif_bn(), 'nincif_bn')

26.375

70

0.739336

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3.857143

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0.123223

211

8

70

26.375

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0

1

0.166667

false

0

0.333333

0

0.666667

0

null

0

1

0

null

0

1

0

1

0

3

a3a08f17af5867ba58de13018c7d3064169e95f5

206

py

Python

app/users.py

AbhishekKumarSinha/flask-api

3b8db79f8d3470ab9f3a6257db46fba0fd589420

[ "MIT" ]

null

app/users.py

AbhishekKumarSinha/flask-api

3b8db79f8d3470ab9f3a6257db46fba0fd589420

[ "MIT" ]

null

app/users.py

AbhishekKumarSinha/flask-api

3b8db79f8d3470ab9f3a6257db46fba0fd589420

[ "MIT" ]

null

# To store registered users registered_users = {} # To store User staus Ture for Login & False for Logout user_status = {} user_account = {} def total_users(): return len(registered_users)

18.727273

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10

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0

1

0.2

false

0

0.2

0.4

0

1

0

null

1

0

null

0

1

0

3

6e69ddb0622508bfcb23436ec86d830df06ee3f8

1,171

py

Python

built-in/PyTorch/Official/cv/scene_text_detection/DB_ID0706_for_Pytorch/data/processes/__init__.py

Ascend/modelzoo

f018cfed33dbb1cc2110b9ea2e233333f71cc509

[ "Apache-2.0" ]

12

2020-12-13T08:34:24.000Z

2022-03-20T15:17:17.000Z

built-in/PyTorch/Official/cv/scene_text_detection/DB_ID0706_for_Pytorch/data/processes/__init__.py

Ascend/modelzoo

f018cfed33dbb1cc2110b9ea2e233333f71cc509

[ "Apache-2.0" ]

1

2022-01-20T03:11:05.000Z

2022-01-20T06:53:39.000Z

built-in/PyTorch/Official/cv/scene_text_detection/DB_ID0706_for_Pytorch/data/processes/__init__.py

Ascend/modelzoo

f018cfed33dbb1cc2110b9ea2e233333f71cc509

[ "Apache-2.0" ]

2

2021-07-10T12:40:46.000Z

2021-12-17T07:55:15.000Z

# Copyright [yyyy] [name of copyright owner] # Copyright 2020 Huawei Technologies Co., Ltd # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # from .normalize_image import NormalizeImage from .make_center_points import MakeCenterPoints from .resize_image import ResizeImage, ResizeData from .filter_keys import FilterKeys from .make_center_map import MakeCenterMap from .augment_data import AugmentData, AugmentDetectionData from .random_crop_data import RandomCropData from .make_icdar_data import MakeICDARData, ICDARCollectFN from .make_seg_detection_data import MakeSegDetectionData from .make_border_map import MakeBorderMap

43.37037

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1,171

5.689873

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0.066741

0.028921

0.035595

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1,171

26

79

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null

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null

0

1

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1

0

1

0

3

6e6f061bf3e88511a12d68d9eafbb9b6ea46df33

8,799

py

Python

access_control/migrations/versions/e8d15433bc60_.py

hedleyroos/core-access-control

9c275beecd4f37280f7234b358f5f9caad372378

[ "BSD-3-Clause" ]

null

access_control/migrations/versions/e8d15433bc60_.py

hedleyroos/core-access-control

9c275beecd4f37280f7234b358f5f9caad372378

[ "BSD-3-Clause" ]

71

2017-12-04T09:14:15.000Z

2019-01-30T11:38:06.000Z

access_control/migrations/versions/e8d15433bc60_.py

hedleyroos/core-access-control

9c275beecd4f37280f7234b358f5f9caad372378

[ "BSD-3-Clause" ]

1

2021-08-17T12:05:27.000Z

"""empty message Revision ID: e8d15433bc60 Revises: Create Date: 2018-03-05 15:39:06.461420 """ from alembic import op import sqlalchemy as sa from sqlalchemy.dialects import postgresql import access_control # revision identifiers, used by Alembic. revision = 'e8d15433bc60' down_revision = None branch_labels = None depends_on = None def upgrade(): # ### commands auto generated by Alembic - please adjust! ### op.create_table('domain', sa.Column('id', sa.Integer(), nullable=False), sa.Column('parent_id', sa.Integer(), nullable=True), sa.Column('name', sa.VARCHAR(length=30), nullable=True), sa.Column('description', sa.Text(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.ForeignKeyConstraint(['parent_id'], ['domain.id'], ), sa.PrimaryKeyConstraint('id') ) op.create_index(op.f('ix_domain_name'), 'domain', ['name'], unique=True) op.create_table('invitation', sa.Column('id', access_control.models.GUID(), nullable=False), sa.Column('first_name', sa.Text(), nullable=True), sa.Column('last_name', sa.Text(), nullable=True), sa.Column('email', sa.VARCHAR(length=100), nullable=True), sa.Column('expires_at', sa.DateTime(), nullable=True), sa.Column('invitor_id', postgresql.UUID(), nullable=True), sa.Column('is_system_user', sa.Boolean(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.PrimaryKeyConstraint('id') ) op.create_index(op.f('ix_invitation_email'), 'invitation', ['email'], unique=True) op.create_table('permission', sa.Column('id', sa.Integer(), nullable=False), sa.Column('name', sa.VARCHAR(length=30), nullable=True), sa.Column('description', sa.Text(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.PrimaryKeyConstraint('id') ) op.create_index(op.f('ix_permission_name'), 'permission', ['name'], unique=True) op.create_table('resource', sa.Column('id', sa.Integer(), nullable=False), sa.Column('urn', sa.VARCHAR(length=100), nullable=True), sa.Column('description', sa.Text(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.PrimaryKeyConstraint('id') ) op.create_index(op.f('ix_resource_urn'), 'resource', ['urn'], unique=True) op.create_table('role', sa.Column('id', sa.Integer(), nullable=False), sa.Column('label', sa.VARCHAR(length=30), nullable=True), sa.Column('description', sa.Text(), nullable=True), sa.Column('requires_2fa', sa.Boolean(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.PrimaryKeyConstraint('id') ) op.create_index(op.f('ix_role_label'), 'role', ['label'], unique=True) op.create_table('domain_role', sa.Column('domain_id', sa.Integer(), nullable=False), sa.Column('role_id', sa.Integer(), nullable=False), sa.Column('grant_implicitly', sa.Boolean(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.ForeignKeyConstraint(['domain_id'], ['domain.id'], ), sa.ForeignKeyConstraint(['role_id'], ['role.id'], ), sa.PrimaryKeyConstraint('domain_id', 'role_id') ) op.create_table('role_resource_permission', sa.Column('role_id', sa.Integer(), nullable=False), sa.Column('resource_id', sa.Integer(), nullable=False), sa.Column('permission_id', sa.Integer(), nullable=False), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.ForeignKeyConstraint(['permission_id'], ['permission.id'], ), sa.ForeignKeyConstraint(['resource_id'], ['resource.id'], ), sa.ForeignKeyConstraint(['role_id'], ['role.id'], ), sa.PrimaryKeyConstraint('role_id', 'resource_id', 'permission_id') ) op.create_table('site', sa.Column('id', sa.Integer(), nullable=False), sa.Column('name', sa.VARCHAR(length=30), nullable=True), sa.Column('domain_id', sa.Integer(), nullable=True), sa.Column('description', sa.Text(), nullable=True), sa.Column('client_id', sa.VARCHAR(length=255), nullable=True), sa.Column('is_active', sa.Boolean(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.ForeignKeyConstraint(['domain_id'], ['domain.id'], ), sa.PrimaryKeyConstraint('id') ) op.create_index(op.f('ix_site_client_id'), 'site', ['client_id'], unique=True) op.create_index(op.f('ix_site_domain_id'), 'site', ['domain_id'], unique=False) op.create_index(op.f('ix_site_name'), 'site', ['name'], unique=True) op.create_table('invitation_domain_role', sa.Column('invitation_id', postgresql.UUID(), nullable=False), sa.Column('domain_id', sa.Integer(), nullable=False), sa.Column('role_id', sa.Integer(), nullable=False), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.ForeignKeyConstraint(['domain_id', 'role_id'], ['domain_role.domain_id', 'domain_role.role_id'], ), sa.ForeignKeyConstraint(['invitation_id'], ['invitation.id'], ), sa.PrimaryKeyConstraint('invitation_id', 'domain_id', 'role_id') ) op.create_table('site_role', sa.Column('site_id', sa.Integer(), nullable=False), sa.Column('role_id', sa.Integer(), nullable=False), sa.Column('grant_implicitly', sa.Boolean(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.ForeignKeyConstraint(['role_id'], ['role.id'], ), sa.ForeignKeyConstraint(['site_id'], ['site.id'], ), sa.PrimaryKeyConstraint('site_id', 'role_id') ) op.create_table('user_domain_role', sa.Column('user_id', postgresql.UUID(), nullable=False), sa.Column('domain_id', sa.Integer(), nullable=False), sa.Column('role_id', sa.Integer(), nullable=False), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.ForeignKeyConstraint(['domain_id', 'role_id'], ['domain_role.domain_id', 'domain_role.role_id'], ), sa.PrimaryKeyConstraint('user_id', 'domain_id', 'role_id') ) op.create_table('invitation_site_role', sa.Column('invitation_id', postgresql.UUID(), nullable=False), sa.Column('site_id', sa.Integer(), nullable=False), sa.Column('role_id', sa.Integer(), nullable=False), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.ForeignKeyConstraint(['invitation_id'], ['invitation.id'], ), sa.ForeignKeyConstraint(['site_id', 'role_id'], ['site_role.site_id', 'site_role.role_id'], ), sa.PrimaryKeyConstraint('invitation_id', 'site_id', 'role_id') ) op.create_table('user_site_role', sa.Column('user_id', postgresql.UUID(), nullable=False), sa.Column('site_id', sa.Integer(), nullable=False), sa.Column('role_id', sa.Integer(), nullable=False), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.ForeignKeyConstraint(['site_id', 'role_id'], ['site_role.site_id', 'site_role.role_id'], ), sa.PrimaryKeyConstraint('user_id', 'site_id', 'role_id') ) # ### end Alembic commands ### def downgrade(): # ### commands auto generated by Alembic - please adjust! ### op.drop_table('user_site_role') op.drop_table('invitation_site_role') op.drop_table('user_domain_role') op.drop_table('site_role') op.drop_table('invitation_domain_role') op.drop_index(op.f('ix_site_name'), table_name='site') op.drop_index(op.f('ix_site_domain_id'), table_name='site') op.drop_index(op.f('ix_site_client_id'), table_name='site') op.drop_table('site') op.drop_table('role_resource_permission') op.drop_table('domain_role') op.drop_index(op.f('ix_role_label'), table_name='role') op.drop_table('role') op.drop_index(op.f('ix_resource_urn'), table_name='resource') op.drop_table('resource') op.drop_index(op.f('ix_permission_name'), table_name='permission') op.drop_table('permission') op.drop_index(op.f('ix_invitation_email'), table_name='invitation') op.drop_table('invitation') op.drop_index(op.f('ix_domain_name'), table_name='domain') op.drop_table('domain') # ### end Alembic commands ###

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6eb2b48b464f4f292641fd81b2dd09c3bd6fcbdb

1,047

py

Python

apps/shipping_addresses/models.py

feliamunda/Django_Store

13da471d8f492c9cb0d3f596a8ec1ed38ab177f4

[ "Apache-2.0" ]

null

apps/shipping_addresses/models.py

feliamunda/Django_Store

13da471d8f492c9cb0d3f596a8ec1ed38ab177f4

[ "Apache-2.0" ]

null

apps/shipping_addresses/models.py

feliamunda/Django_Store

13da471d8f492c9cb0d3f596a8ec1ed38ab177f4

[ "Apache-2.0" ]

null

from django.db import models from apps.users.models import User # Create your models here. class ShippingAddress(models.Model): user = models.ForeignKey(User, null=False, blank=False, on_delete=models.CASCADE) line1 = models.CharField(max_length=200) line2 = models.CharField(max_length=200, null=True, blank=True) city = models.CharField(max_length=100) state = models.CharField(max_length=100) country = models.CharField(max_length=50) reference = models.CharField(max_length=300) postal_code = models.CharField(max_length=10, null=False, blank=False) default = models.BooleanField(default=False) created_at = models.DateTimeField(auto_now_add=True) @property def address(self): return '{} - {} - {}'.format(self.city, self.state, self.country) def __str__(self): return self.postal_code def has_orders(self): return self.order_set.count() >= 1 def update_default(self, default=False): self.default = default self.save()

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6ebb998c1035a84d76c4b496b0fa7e94518b7f3e

2,775

py

Python

iati/home/migrations/0004_auto_20180626_1221.py

andylolz/IATI-Standard-Website

b781b9fe6b6430f93826e530e9560183bf8fd310

[ "MIT" ]

4

2019-03-28T06:42:17.000Z

2021-06-06T13:10:51.000Z

iati/home/migrations/0004_auto_20180626_1221.py

andylolz/IATI-Standard-Website

b781b9fe6b6430f93826e530e9560183bf8fd310

[ "MIT" ]

177

2018-09-28T14:21:56.000Z

2022-03-30T21:45:26.000Z

iati/home/migrations/0004_auto_20180626_1221.py

andylolz/IATI-Standard-Website

b781b9fe6b6430f93826e530e9560183bf8fd310

[ "MIT" ]

8

2018-10-25T20:43:10.000Z

2022-03-17T14:19:27.000Z

# Generated by Django 2.0.5 on 2018-06-26 12:21 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('wagtailimages', '0019_delete_filter'), ('home', '0003_standardpage'), ] operations = [ migrations.AddField( model_name='homepage', name='activities', field=models.PositiveIntegerField(default=1000000), ), migrations.AddField( model_name='homepage', name='excerpt', field=models.TextField(blank=True, null=True), ), migrations.AddField( model_name='homepage', name='excerpt_en', field=models.TextField(blank=True, null=True), ), migrations.AddField( model_name='homepage', name='excerpt_es', field=models.TextField(blank=True, null=True), ), migrations.AddField( model_name='homepage', name='excerpt_fr', field=models.TextField(blank=True, null=True), ), migrations.AddField( model_name='homepage', name='excerpt_pt', field=models.TextField(blank=True, null=True), ), migrations.AddField( model_name='homepage', name='header_image', field=models.ForeignKey(blank=True, help_text='This is the image that will appear in the header banner at the top of the page. If no image is added a placeholder image will be used.', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image'), ), migrations.AddField( model_name='homepage', name='heading', field=models.CharField(blank=True, max_length=255, null=True), ), migrations.AddField( model_name='homepage', name='heading_en', field=models.CharField(blank=True, max_length=255, null=True), ), migrations.AddField( model_name='homepage', name='heading_es', field=models.CharField(blank=True, max_length=255, null=True), ), migrations.AddField( model_name='homepage', name='heading_fr', field=models.CharField(blank=True, max_length=255, null=True), ), migrations.AddField( model_name='homepage', name='heading_pt', field=models.CharField(blank=True, max_length=255, null=True), ), migrations.AddField( model_name='homepage', name='organisations', field=models.PositiveIntegerField(default=700), ), ]

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6ebef56df5588c2c4171606dad73321d65bb781e

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py

Python

large-repo-master/test-3/nb21.py

victorsun123/numpy

1fb036758b4035ab2c132d26f420e5bc3ffc917e

[ "BSD-3-Clause" ]

null

large-repo-master/test-3/nb21.py

victorsun123/numpy

1fb036758b4035ab2c132d26f420e5bc3ffc917e

[ "BSD-3-Clause" ]

null

large-repo-master/test-3/nb21.py

victorsun123/numpy

1fb036758b4035ab2c132d26f420e5bc3ffc917e

[ "BSD-3-Clause" ]

null

# Databricks notebook source BGBQHOWGGFSMHPYXGTO NZPBFOKMJLRQHTARPERJDKKJQZPZKYQCWGGKJLOJJGHLJABIYDVAYNJVEYPYNYHIEWTJHFMDBEJXY YGPGFWXAJUKFLCXFPXDGXTEVNVRFKDXIYKLYACCVXBWTDQOQHXDNIJXRLNXBFSLJYR EDQHGMWXXKNBGRPVWTVEYCIQJCENTCTADVYPELTBKBMSXQNCRTZGCMFGGEJIGIVKMIEBSWQPJOGQNEXRUEGOALGKVKQPTOZMLVQKCNKLQHNWIZOPPYI VPOCQGWWXEJUUXXEUDYXOQBBKBEUUDRGYWHKMGJUJGYPHKJIQEBJNMGRLPYGSZTOBOYAXPCOHFDWUDJKVATUIANJZWWMJJGRCFWYSPDFXBZXOWNKO ILYDBQCYMDSOFBZUMVWXGOYFZXZLFENAYWZOTJEPHHUWWLTLNNMNAQTKSMATJLRVWGDFBGFCVBEDHKGOKGXICQEEGJJQCXKAGDMAKBMQQKAKXIFOXGATW GGIFTHKNZWSCSINPBNXYAQUGJWKFNPRJKFISJPAZMDEVDGODFEJSFUECEKOLFSCOGMZEVDRXXJXVOZLPMXDWXBTORYYOJZGOKFEQREDEDKOCGESQMUQMC BKZRXEVMEDPIZZHCVQGJKIXXKVAFMGGRFSFDJODLJGYJKARVNHPHDSQTZXXTMBGZRCHIMINXVFJDTBTCSTISZXWRFXQJETRBCKNPXAWZBDEIIKYAH OWKXZGMXWZVJLIPLZGYXOSGYQYXTMUNNQCQPFAREVBUYMJDVIROGJKLUMUMBGNWWNYLRTAPDNSVQFNTKHQHVXUNJ FUAASEDRATKUJNCCBPSL HPPOGQLRWNFOZVXLTXAPVLMFRALOOQWAOHWZKRSOPJ HQIXYKTDGKJKMMFRIGTCVORTGXLIJOZGUNXMENCAGAOLPQUNUQBZWLNFUSINLRN 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COMMAND ---------- QJFIGIFIDQUFALSTRAIXQKOOGPVCNAYPAISPPBTYYFDQGCZWNODMUGFHABWDDKFSDKTAXKNQITUQNMMRPXPFTZYCKFHMRJLGVKQZSKXUUWESZKZQVOTOWWSVGSXNIZKIAXXWRUXYSWDKJIOBXTCZRZNLUDZEVOFLJKHOLEJAMZEQRGKOIJPLYWSKNIMCOXIZZPDWKSQWZWLLFEMXNQIMLFOILXYJRGTFNWGZJAZAZGMSFLTVDYALNYGOSGWFZDHATXJQHSPDRGDBDAJFLQLHMJFFBOTPUSUAIBTCYZCUALRYXCYBRSPRUBZWSIQEWKSHJUAEHTDVVRRFEVDBSTUWVXPMOROWGLFSKFHDGPCFXFWRYLPMJZOEZCXGCHDAUNSHSNMDJGFEPHSCWYIBSOLCNSUSTOWKROEPBTAAWCTETVHUMICFDMCNYGVHXEXLFQEDOAZNZLBKBEDNOOJOSOLLQPRAETFCCGRMHKMARNCDEGEVSAGGPQOLTKZUVFXLKNZRSFMJBISEBXKTPYQXSHGSXFYYQRWYMNDCRVDHNICJZQCRIIKMLTDEVBXYHHDMTUYHKNOLUSHZELDBRDCZJRONXSZGTCWLTRNYZHFKKRBJGTDAQTXHFKEEZICZKBKQDZFGGEDEKWCKVOAOWAFVPOHDZTFNNPPMNOBWGYGBHEBDJGPNFYOZZEFXPSTVEHAGIQYEMVNAKPEGRDWRLHQJPTRSXKMTEIYXKNOJSRSMLXZSZRDYCAOWCUHHQNSUSTOJAWPSLEJERNDWYHLLRMEWVLYRMKLPZCGWKZEVJOXYYLAXKTQAMUHRRMASGKVQJBHGIHOFURLTIQGLNVFWJIXLYIHNCQSNZJUXQQWGEXLO NAMGFOVWEYKYVVVGIWBPEVWOGLAEEGFEHHCPMBVIFCPBISKQBRSS 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6ee91a85ebff50419cdde6daaf668aa9bf5b9158

87

py

Python

collar/apps.py

FelixTheC/allSales

76d955b80bf9b5bb58bd53d8ee644249cf04e1a3

[ "Apache-2.0" ]

null

collar/apps.py

FelixTheC/allSales

76d955b80bf9b5bb58bd53d8ee644249cf04e1a3

[ "Apache-2.0" ]

null

collar/apps.py

FelixTheC/allSales

76d955b80bf9b5bb58bd53d8ee644249cf04e1a3

[ "Apache-2.0" ]

1

2021-04-01T16:52:35.000Z

from django.apps import AppConfig class CollarConfig(AppConfig): name = 'collar'

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42cc4af24b7f1b204ab630587045fb6ea34c00b0

175

py

Python

nexus/nlptools/language_detect.py

leoll2/hyperboria

30a0ae466b290208f690560160ef1f5c16e4a744

[ "Unlicense" ]

54

2021-01-07T03:02:36.000Z

2022-03-28T17:19:29.000Z

nexus/nlptools/language_detect.py

the-superpirate/hyperboria

74776166158d07b199677f9738862e5f1fa54367

[ "Unlicense" ]

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2021-01-08T17:38:59.000Z

2022-02-28T14:34:45.000Z

nexus/nlptools/language_detect.py

the-superpirate/hyperboria

74776166158d07b199677f9738862e5f1fa54367

[ "Unlicense" ]

16

2020-12-28T18:31:44.000Z

2022-02-22T15:00:53.000Z

import cld3 def detect_language(text: str) -> str: prediction = cld3.get_language(text) if prediction and prediction.is_reliable: return prediction.language

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42cd17a6f181e683456c8528a4cc2f97eb09a4d1

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py

Python

animec/waifu.py

DriftAsimov/animec

4dacd0f87c8367305a905a6ff21aa6c4e611b8a2

[ "MIT" ]

29

2021-04-10T16:34:10.000Z

2022-03-28T15:37:37.000Z

animec/waifu.py

DriftAsimov/animec

4dacd0f87c8367305a905a6ff21aa6c4e611b8a2

[ "MIT" ]

8

2021-04-20T06:39:18.000Z

2022-03-14T10:32:43.000Z

animec/waifu.py

DriftAsimov/Anime-Character-Package

4dacd0f87c8367305a905a6ff21aa6c4e611b8a2

[ "MIT" ]

9

2021-04-20T10:27:30.000Z

2021-09-06T05:30:15.000Z

import json from .errors import NoResultFound from urllib.request import urlopen, Request from urllib.error import HTTPError from random import choice __all__ = ['Waifu'] class Waifu: """Represents the waifu class. Fetches image urls from `waifu.pics <https://waifu.pics/>`__.""" base = "https://waifu.pics/api/sfw/" @classmethod def __image__(cls, url: str) -> str: headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2228.0 Safari/537.3'} req = Request(url = url, headers = headers) try: page = urlopen(req) except HTTPError as e: raise NoResultFound(f"HTTP Error: {e.code}") res = json.loads(page.read()) return res["url"] @classmethod def random(cls) -> str: """Returns waifus from random category""" select = choice( ['waifu', 'shinobu', 'megumin', 'neko'] ) return cls.__image__(cls.base + select) @classmethod def random_gif(cls) -> str: """Returns a random anime gif""" select = choice( ['bully', 'cuddle', 'cry', 'hug', 'awoo', 'kiss', 'lick', 'pat', 'smug', 'bonk', 'yeet', 'blush', 'smile', 'wave', 'highfive', 'handhold', 'nom', 'bite', 'glomp', 'slap', 'kill', 'kick', 'happy', 'wink', 'poke', 'dance', 'cringe'] ) return cls.__image__(cls.base + select) @classmethod def waifu(cls) -> str: """Returns untagged waifus""" return cls.__image__(cls.base + "waifu") @classmethod def shinobu(cls) -> str: """Returns waifus from shinobu category""" return cls.__image__(cls.base + "shinobu") @classmethod def megumin(cls) -> str: """Returns waifus from megumin category""" return cls.__image__(cls.base + "megumin") @classmethod def neko(cls) -> str: """Returns waifus from neko category""" return cls.__image__(cls.base + "neko") @classmethod def bully(cls) -> str: """Returns anime bully gifs""" return cls.__image__(cls.base + "bully") @classmethod def cuddle(cls) -> str: """Returns anime cuddle gifs""" return cls.__image__(cls.base + "cuddle") @classmethod def cry(cls) -> str: """Returns anime cry gifs""" return cls.__image__(cls.base + "cry") @classmethod def hug(cls) -> str: """Returns anime hug gifs""" return cls.__image__(cls.base + "hug") @classmethod def awoo(cls) -> str: """Returns anime awoo gifs""" return cls.__image__(cls.base + "awoo") @classmethod def kiss(cls) -> str: """Returns anime kiss gifs""" return cls.__image__(cls.base + "kiss") @classmethod def lick(cls) -> str: """Returns anime lick gifs""" return cls.__image__(cls.base + "lick") @classmethod def pat(cls) -> str: """Returns anime pat gifs""" return cls.__image__(cls.base + "pat") @classmethod def smug(cls) -> str: """Returns anime smug gifs""" return cls.__image__(cls.base + "smug") @classmethod def bonk(cls) -> str: """Returns anime bonk gifs""" return cls.__image__(cls.base + "bonk") @classmethod def yeet(cls) -> str: """Returns anime yeet gifs""" return cls.__image__(cls.base + "yeet") @classmethod def blush(cls) -> str: """Returns anime blush gifs""" return cls.__image__(cls.base + "blush") @classmethod def smile(cls) -> str: """Returns anime wave gifs""" return cls.__image__(cls.base + "wave") @classmethod def highfive(cls) -> str: """Returns anime highfive gifs""" return cls.__image__(cls.base + "highfive") @classmethod def handhold(cls) -> str: """Returns anime handhold gifs""" return cls.__image__(cls.base + "handhold") @classmethod def nom(cls) -> str: """Returns anime nom gifs""" return cls.__image__(cls.base + "nom") @classmethod def bite(cls) -> str: """Returns anime bite gifs""" return cls.__image__(cls.base + "bite") @classmethod def glomp(cls) -> str: """Returns anime glomp gifs""" return cls.__image__(cls.base + "glomp") @classmethod def slap(cls) -> str: """Returns anime slap gifs""" return cls.__image__(cls.base + "slap") @classmethod def kill(cls) -> str: """Returns anime kill gifs""" return cls.__image__(cls.base + "kill") @classmethod def kick(cls) -> str: """Returns anime kick gifs""" return cls.__image__(cls.base + "kick") @classmethod def happy(cls) -> str: """Returns anime happy gifs""" return cls.__image__(cls.base + "happy") @classmethod def wink(cls) -> str: """Returns anime wink gifs""" return cls.__image__(cls.base + "wink") @classmethod def poke(cls) -> str: """Returns anime pole gifs""" return cls.__image__(cls.base + "poke") @classmethod def dance(cls) -> str: """Returns anime dance gifs""" return cls.__image__(cls.base + "dance") @classmethod def cringe(cls) -> str: """Returns anime cringe gifs""" return cls.__image__(cls.base + "cringe")

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null

0

1

0

1

0

3

42defc47aa17ae82dac2a9b680a67abd7f6be35c

15,874

py

Python

pysnmp-with-texts/RFC-HIPPI-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

8

2019-05-09T17:04:00.000Z

2021-06-09T06:50:51.000Z

pysnmp-with-texts/RFC-HIPPI-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

4

2019-05-31T16:42:59.000Z

2020-01-31T21:57:17.000Z

pysnmp-with-texts/RFC-HIPPI-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

10

2019-04-30T05:51:36.000Z

2022-02-16T03:33:41.000Z

# # PySNMP MIB module RFC-HIPPI-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/RFC-HIPPI-MIB # Produced by pysmi-0.3.4 at Wed May 1 14:56:15 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # Integer, OctetString, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "Integer", "OctetString", "ObjectIdentifier") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ConstraintsIntersection, ValueSizeConstraint, SingleValueConstraint, ConstraintsUnion, ValueRangeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsIntersection", "ValueSizeConstraint", "SingleValueConstraint", "ConstraintsUnion", "ValueRangeConstraint") nscTransmission, = mibBuilder.importSymbols("NSC-MIB", "nscTransmission") NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance") Gauge32, Bits, Integer32, MibScalar, MibTable, MibTableRow, MibTableColumn, NotificationType, ModuleIdentity, ObjectIdentity, Unsigned32, MibIdentifier, IpAddress, Counter32, transmission, Counter64, TimeTicks, iso = mibBuilder.importSymbols("SNMPv2-SMI", "Gauge32", "Bits", "Integer32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "NotificationType", "ModuleIdentity", "ObjectIdentity", "Unsigned32", "MibIdentifier", "IpAddress", "Counter32", "transmission", "Counter64", "TimeTicks", "iso") TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString") nscHippi = MibIdentifier((1, 3, 6, 1, 4, 1, 10, 2, 2, 2, 1)) hippiNumber = MibScalar((1, 3, 6, 1, 4, 1, 10, 2, 2, 2, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: hippiNumber.setStatus('mandatory') if mibBuilder.loadTexts: hippiNumber.setDescription('An integer value indicating the number of HippiEntry objects that are in the hippiTable.') hippiTable = MibTable((1, 3, 6, 1, 4, 1, 10, 2, 2, 2, 1, 2), ) if mibBuilder.loadTexts: hippiTable.setStatus('mandatory') if mibBuilder.loadTexts: hippiTable.setDescription('The HIPPI table of entries') hippiEntry = MibTableRow((1, 3, 6, 1, 4, 1, 10, 2, 2, 2, 1, 2, 1), ).setIndexNames((0, "RFC-HIPPI-MIB", "hippiPortNumber")) if mibBuilder.loadTexts: hippiEntry.setStatus('mandatory') if mibBuilder.loadTexts: hippiEntry.setDescription('An entry in the HIPPI table') hippiPortNumber = MibTableColumn((1, 3, 6, 1, 4, 1, 10, 2, 2, 2, 1, 2, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: hippiPortNumber.setStatus('mandatory') if mibBuilder.loadTexts: hippiPortNumber.setDescription('Unique sequential integer identifying the hippi media. This is the ifIndex value of the corresponding ifEntry.') hippiWordSize = MibTableColumn((1, 3, 6, 1, 4, 1, 10, 2, 2, 2, 1, 2, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("hippi32bitDataBus", 1), ("hippi64bitDataBus", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: hippiWordSize.setStatus('mandatory') if mibBuilder.loadTexts: hippiWordSize.setDescription('This enumerated value indicates the size of the data bus associated with this particular hippi media. This defines whether the interface operates at 800 or 1600 Mbits/s.') hippiEndPointType = MibTableColumn((1, 3, 6, 1, 4, 1, 10, 2, 2, 2, 1, 2, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("hippiSourceEndPoint", 1), ("hippiDestinationEndPoint", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: hippiEndPointType.setStatus('mandatory') if mibBuilder.loadTexts: hippiEndPointType.setDescription('This enumerated value indicates whether this side of the hippi simplex connection is operating as a source or a destination.') hippiWordCountHigh = MibTableColumn((1, 3, 6, 1, 4, 1, 10, 2, 2, 2, 1, 2, 1, 4), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 2147483647))).setMaxAccess("readwrite") if mibBuilder.loadTexts: hippiWordCountHigh.setStatus('mandatory') if mibBuilder.loadTexts: hippiWordCountHigh.setDescription('The word counter represents the number of words transferred through the media. The counter is cleared at power up or reset. This is the portion of the count above 999,999,999. This object may be made read-write accessible to allow resetting the counter from an appropriately configured management station.') hippiWordCountLow = MibTableColumn((1, 3, 6, 1, 4, 1, 10, 2, 2, 2, 1, 2, 1, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 999999999))).setMaxAccess("readwrite") if mibBuilder.loadTexts: hippiWordCountLow.setStatus('mandatory') if mibBuilder.loadTexts: hippiWordCountLow.setDescription('The word counter represents the number of words transferred through the media. The counter is cleared at power up or reset. This is the portion of the count below 1,000,000,000. This object may be made read-write accessible to allow resetting the counter from an appropriately configured management station.') hippiBurstCountHigh = MibTableColumn((1, 3, 6, 1, 4, 1, 10, 2, 2, 2, 1, 2, 1, 6), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 2147483647))).setMaxAccess("readwrite") if mibBuilder.loadTexts: hippiBurstCountHigh.setStatus('mandatory') if mibBuilder.loadTexts: hippiBurstCountHigh.setDescription('Total number of bursts transferred by this media since power up or reset. This is the portion of the count above 999,999,999. This object may be made read-write accessible to allow resetting the counter from an appropriately configured management station.') hippiBurstCountLow = MibTableColumn((1, 3, 6, 1, 4, 1, 10, 2, 2, 2, 1, 2, 1, 7), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 999999999))).setMaxAccess("readwrite") if mibBuilder.loadTexts: hippiBurstCountLow.setStatus('mandatory') if mibBuilder.loadTexts: hippiBurstCountLow.setDescription('Total number of bursts transferred by this media since power up or reset. This is the portion of the count below 1,000,000,000. This object may be made read-write accessible to allow resetting the counter from an appropriately configured management station.') hippiPacketCountHigh = MibTableColumn((1, 3, 6, 1, 4, 1, 10, 2, 2, 2, 1, 2, 1, 8), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 2147483647))).setMaxAccess("readwrite") if mibBuilder.loadTexts: hippiPacketCountHigh.setStatus('mandatory') if mibBuilder.loadTexts: hippiPacketCountHigh.setDescription('The packet count represents the number of packets transferred on the media. The counter is cleared at power up or reset. This is the portion of the count above 999,999,999. This object may be made read-write accessible to allow resetting the counter from an appropriately configured management station.') hippiPacketCountLow = MibTableColumn((1, 3, 6, 1, 4, 1, 10, 2, 2, 2, 1, 2, 1, 9), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 999999999))).setMaxAccess("readwrite") if mibBuilder.loadTexts: hippiPacketCountLow.setStatus('mandatory') if mibBuilder.loadTexts: hippiPacketCountLow.setDescription('The packet count represents the number of packets transferred on the media. The counter is cleared at power up or reset. This is the portion of the count below 1,000,000,000. This object may be made read-write accessible to allow resetting the counter from an appropriately configured management station.') hippiParityErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 10, 2, 2, 2, 1, 2, 1, 10), Counter32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: hippiParityErrors.setStatus('mandatory') if mibBuilder.loadTexts: hippiParityErrors.setDescription('This counter represents the number of data parity errors that have occurred on the media since power up or reset. Since the parity bus is one directional from the source to the destination, this object only has meaning when the hippiEndPointType indicates this media is a destination end point. This object may be made read-write accessible to allow resetting the counter from an appropriately configured management station.') hippiInputPortRejectCount = MibTableColumn((1, 3, 6, 1, 4, 1, 10, 2, 2, 2, 1, 2, 1, 11), Counter32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: hippiInputPortRejectCount.setStatus('mandatory') if mibBuilder.loadTexts: hippiInputPortRejectCount.setDescription('Total number of times that the input port has rejected a connection attempt due to I-Field parity errors, busy ports, or invalid source addresses since power up or reset. This object is only meaningful when the hippiEndPointType indicates this media is a destination end point. This object may be made read- write accessible to allow resetting the counter from an appropriately configured management station.') hippiDestRejectCount = MibTableColumn((1, 3, 6, 1, 4, 1, 10, 2, 2, 2, 1, 2, 1, 12), Counter32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: hippiDestRejectCount.setStatus('mandatory') if mibBuilder.loadTexts: hippiDestRejectCount.setDescription('This counter represents the number of connection requests that were rejected by a destination end point since power up or reset. This object may be made read-write accessible to allow resetting the counter from an appropriately configured management station.') hippiSourceRejectCount = MibTableColumn((1, 3, 6, 1, 4, 1, 10, 2, 2, 2, 1, 2, 1, 13), Counter32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: hippiSourceRejectCount.setStatus('mandatory') if mibBuilder.loadTexts: hippiSourceRejectCount.setDescription('This counter represents the number of times that the source end point dropped the connection request before the connection to the final destination was completed since power up or reset. This object may be made read-write accessible to allow resetting the counter from an appropriately configured management station.') hippiDestDisconnectCount = MibTableColumn((1, 3, 6, 1, 4, 1, 10, 2, 2, 2, 1, 2, 1, 14), Counter32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: hippiDestDisconnectCount.setStatus('mandatory') if mibBuilder.loadTexts: hippiDestDisconnectCount.setDescription('This counter represents the number of completed connections that were terminated by a destination end point since power up or reset. This object may be made read-write accessible to allow resetting the counter from an appropriately configured management station.') hippiSourceDisconnectCount = MibTableColumn((1, 3, 6, 1, 4, 1, 10, 2, 2, 2, 1, 2, 1, 15), Counter32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: hippiSourceDisconnectCount.setStatus('mandatory') if mibBuilder.loadTexts: hippiSourceDisconnectCount.setDescription('This counter represents the number of completed connections that were terminated normally by the source end point since power up or reset. This object may be made read-write accessible to allow resetting the counter from an appropriately configured management station.') hippiLastIField = MibTableColumn((1, 3, 6, 1, 4, 1, 10, 2, 2, 2, 1, 2, 1, 16), OctetString().subtype(subtypeSpec=ValueSizeConstraint(4, 4)).setFixedLength(4)).setMaxAccess("readonly") if mibBuilder.loadTexts: hippiLastIField.setStatus('mandatory') if mibBuilder.loadTexts: hippiLastIField.setDescription('This data type specifies the HIPPI I-Field address that was associated with the last operation on the media. If the hippiEndPointType indicates this is a Destination then the I-Field gives an indication of how the end point was addressed. If the media is a Source then the I-Field indicates the last address that the media attempted to connect to.') hippiConnectState = MibTableColumn((1, 3, 6, 1, 4, 1, 10, 2, 2, 2, 1, 2, 1, 17), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("hippiDisconnect", 1), ("hippiConnectRequest", 2), ("hippiConnected", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: hippiConnectState.setStatus('mandatory') if mibBuilder.loadTexts: hippiConnectState.setDescription('Indicates the current connection state of the media.') hippiLastErrorType = MibTableColumn((1, 3, 6, 1, 4, 1, 10, 2, 2, 2, 1, 2, 1, 18), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("hippiErrorTypeReject", 1), ("hippiErrorTypeBusy", 2), ("hippiErrorTypeTimeout", 3), ("hippiErrorTypeParityError", 4), ("hippiErrorTypeInvalidAddress", 5)))).setMaxAccess("readonly") if mibBuilder.loadTexts: hippiLastErrorType.setStatus('mandatory') if mibBuilder.loadTexts: hippiLastErrorType.setDescription('Contains the type identifier of the last error that was encountered on this media. The type identifier and the hippiLastErrorIField values are intended to be used together to aid in determining line connection problems.') hippiLastErrorIField = MibTableColumn((1, 3, 6, 1, 4, 1, 10, 2, 2, 2, 1, 2, 1, 19), OctetString().subtype(subtypeSpec=ValueSizeConstraint(4, 4)).setFixedLength(4)).setMaxAccess("readonly") if mibBuilder.loadTexts: hippiLastErrorIField.setStatus('mandatory') if mibBuilder.loadTexts: hippiLastErrorIField.setDescription('This data type specifies the HIPPI I-Field address that was associated with the last error for this media. The hippiLastErrorType along with this I-Field information is intended to help in determining connection problems. If the hippiEndPointType indicates this is a Destination then the I-Field gives an indication of how the end point was addressed. If the media is a Source then the I-Field indicates the last address that the media attempted to connect to') hippiInterconnectStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 10, 2, 2, 2, 1, 2, 1, 20), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 15))).setMaxAccess("readonly") if mibBuilder.loadTexts: hippiInterconnectStatus.setStatus('mandatory') if mibBuilder.loadTexts: hippiInterconnectStatus.setDescription('As defined in HIPPI-PH, HIPPI connections have interconnect signals that are carried to allow endpoints to determine power on and enable. These signals are also useful in determining that cables are established correctly. There are two (2) signals for all connections that are referred to as INTERCONNECT-A. These signals are used to identify a source to destination as well as a destination to source connection. In addition, 64 bit wide connections (1600 MB) have two (2) additional signals that are referred to as INTERCONNECT-B. These are exactly the same as the INTERCONNECT-A signals but are carried on the second set of cables that make up the 64 bit connection. These signals are encoded into the lowest order four (4) bits of the hippiInterconnectStatus object as follows: 0 0 0 1 INTERCONNECT-A Source to Destination (1) 0 0 1 0 INTERCONNECT-A Destination to Source (2) 0 1 0 0 INTERCONNECT-B Source to Destination (4) 1 0 0 0 INTERCONNECT-B Destination to Source (8)') mibBuilder.exportSymbols("RFC-HIPPI-MIB", hippiLastIField=hippiLastIField, hippiEntry=hippiEntry, hippiWordSize=hippiWordSize, hippiParityErrors=hippiParityErrors, hippiWordCountLow=hippiWordCountLow, hippiDestDisconnectCount=hippiDestDisconnectCount, hippiBurstCountHigh=hippiBurstCountHigh, hippiDestRejectCount=hippiDestRejectCount, hippiLastErrorType=hippiLastErrorType, hippiInterconnectStatus=hippiInterconnectStatus, hippiTable=hippiTable, hippiPacketCountHigh=hippiPacketCountHigh, hippiSourceDisconnectCount=hippiSourceDisconnectCount, hippiPacketCountLow=hippiPacketCountLow, hippiPortNumber=hippiPortNumber, nscHippi=nscHippi, hippiEndPointType=hippiEndPointType, hippiInputPortRejectCount=hippiInputPortRejectCount, hippiConnectState=hippiConnectState, hippiNumber=hippiNumber, hippiLastErrorIField=hippiLastErrorIField, hippiBurstCountLow=hippiBurstCountLow, hippiWordCountHigh=hippiWordCountHigh, hippiSourceRejectCount=hippiSourceRejectCount)

184.581395

1,044

0.79709

2,057

15,874

6.151191

0.165289

0.007587

0.076346

0.007587

0.582629

0.473406

0.435786

0.422588

0.411997

0.403936

0

0.0469

0.106778

15,874

85

1,045

186.752941

0.845476

0.020159

0

0.230769

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0.010614

0

1

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false

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null

0

1

0

1

0

null

0

3

42e7c8d487b29f0265272203ed0c48e6194bcef5

3,979

py

Python

superset/securityGeo/security_views.py

tommy2gis/swsk-map-dashboard

0eb9c4e2935ea05063ed7720a53481f89c1e14a0

[ "Apache-2.0" ]

null

superset/securityGeo/security_views.py

tommy2gis/swsk-map-dashboard

0eb9c4e2935ea05063ed7720a53481f89c1e14a0

[ "Apache-2.0" ]

8

2021-02-02T22:33:08.000Z

2022-03-29T22:27:54.000Z

superset/securityGeo/security_views.py

shitao1988/swsk-map-dashboard

0eb9c4e2935ea05063ed7720a53481f89c1e14a0

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals from flask_cas import login_required from superset.cas import myCas from flask import g, redirect, flash, url_for from flask_appbuilder._compat import as_unicode from flask_appbuilder.forms import DynamicForm from flask_appbuilder.security.views import AuthRemoteUserView, expose from flask_babel import lazy_gettext from flask_login import login_user from wtforms import StringField, PasswordField from wtforms.validators import Required, Email, DataRequired # import the remote server here # remote server API to authenticate username/Email from . import remote_server_api import logging logger = logging.getLogger(__name__) class MyLoginForm(DynamicForm): """ My customize login form, only set email and password as login request more options could be set here """ email = StringField(lazy_gettext("User Name"), validators=[DataRequired()]) password = PasswordField(lazy_gettext("Password"), validators=[DataRequired()]) class MyAuthRemoteUserView(AuthRemoteUserView): # 走自己的登录页面，走接口登录 # this front-end template should be put under the folder `superset/templates/appbuilder/general/security` # so that superset could find this templates to render # login_template = 'appbuilder/general/security/login_my.html' # title = "geo data login" # this method is going to overwrite # https://github.com/dpgaspar/Flask-AppBuilder/blob/master/flask_appbuilder/security/views.py#L556 # @expose('/login/', methods=['GET', 'POST']) # def login(self): # logger.info("My special login...") # if g.user is not None: # if g.user.is_authenticated: # # if session.get("user_id") is not None and session.get("user_id") != "": # return redirect(self.appbuilder.get_url_for_index) # # form = MyLoginForm() # if form.validate_on_submit(): # logger.info("going to auth MY user: %s" % form.email.data) # my_user = remote_server_api.authenticate(form.email.data, form.password.data) # # if my_user is authenticated # if my_user: # user = self.appbuilder.sm.auth_user_remote_user(my_user.get('username')) # if user is None: # flash(as_unicode(self.invalid_login_message), 'warning') # else: # login_user(user) # return redirect(self.appbuilder.get_url_for_index) # else: # flash(as_unicode(self.invalid_login_message), 'warning') # else: # if form.errors.get('email') is not None: # flash( # as_unicode(" ".join(form.errors.get('email'))), 'warning') # # return self.render_template( # self.login_template, # title=self.title, # form=form, # appbuilder=self.appbuilder) # cas单点登录 # ###################### cas 单点登录 ################################ @expose('/login/', methods=['GET', 'POST']) @login_required def login(self): print("单点登录， myCas.username = {}".format(myCas.username)) # 信息更新用户表 user = self.appbuilder.sm.auth_user_remote_user(myCas.username) # user = None if user is None: flash(as_unicode(self.invalid_login_message), 'warning') else: login_user(user) return redirect(self.appbuilder.get_url_for_index) return redirect(self.appbuilder.get_url_for_index) # 登出 @expose("/logout/", methods=['GET', 'POST']) def logout(self): # casLogout() print("用户登出， myCas.username = {}".format(myCas.username)) if myCas.username is None: return redirect(url_for("login")) return redirect(url_for("cas.logout"))

38.259615

109

0.64187

465

3,979

5.303226

0.292473

0.025547

0.025953

0.045418

0.223844

0.177616

0.112733

0.093268

0

0.001325

0.241518

3,979

103

110

38.631068

0.815772

0.479769

0

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0

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0

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0.052632

false

0.052632

0.421053

0

0.684211

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0

null

0

null

0

1

0

1

0

3

42f156eaae6cc375814ac2dbb1b9d492c81fb729

3,964

py

Python

src/DefaultClasses.py

Tigre-Buti/cool-compiler-2020

e6f3da75b9a48b44f679b4d7608fd1b96655a929

[ "MIT" ]

null

src/DefaultClasses.py

Tigre-Buti/cool-compiler-2020

e6f3da75b9a48b44f679b4d7608fd1b96655a929

[ "MIT" ]

null

src/DefaultClasses.py

Tigre-Buti/cool-compiler-2020

e6f3da75b9a48b44f679b4d7608fd1b96655a929

[ "MIT" ]

null

from AST import * from CIL import * #TODO Definir en CIL algunos metodos predefinidos class Defaults: def ObjectClass(): #selfattribute=AttributeNode("self","Int",IntegerNode(0)) # identifier=AttributeNode("type#","Int",IntegerNode(0)) abort=MethodNode("abort",[],"Object",[]) typename=MethodNode("type_name",[],"String",[]) copy=MethodNode("copy",[],"SELF_TYPE",[]) init=MethodNode("$init",[],"SELF_TYPE",[]) clase=ClassNode("Object",None,[abort,typename,copy]) return clase def BoolClass(): clase=ClassNode("Bool","Object",[]) return clase def IOClass(): #typeString=AttributeNode("$type","String",StringNode("IO")) out_string=MethodNode("out_string",[ParameterNode("x","String")],"SELF_TYPE",[]) out_int=MethodNode("out_int",[ParameterNode("x","Int")],"SELF_TYPE",[]) in_string=MethodNode("in_string",[],"String",[]) in_int=MethodNode("in_int",[],"Int",[]) clase=ClassNode("IO","Object",[out_string,out_int,in_string,in_int]) return clase def StringClass(): #typeString=AttributeNode("$type","String",StringNode("String")) #value=AttributeNode("value", "Int", IntegerNode(0)) length=MethodNode("length",[],"Int",[]) concat=MethodNode("concat",[ParameterNode("s","String")],"String",[]) substr=MethodNode("substr",[ParameterNode("i","Int"),ParameterNode("l","Int")],"String",[]) clase=ClassNode("String","Object",[length,concat,substr])#Removed typeString,value, return clase def IntClass(): clase=ClassNode("Int","Object",[]) return clase # def typename_CIL(): # instrucciones=[CILAssign("$result",["$type"])] # return CILGlobalMethod('typename',params=["self"],locals=["$result"],instrucciones=instrucciones) def abort_CIL(): instrucciones=[CILAbort("$result",[])] return CILGlobalMethod('abort',[ParameterNode("self","SELF_TYPE")],["$result"],instrucciones,comments="Object.Abort") def copy_CIL(cantidadatributos): instrucciones=[CILCopy("$result",["self",cantidadatributos])] return CILGlobalMethod('copy',[ParameterNode("self","SELF_TYPE")],["$result"],instrucciones,comments="Object.Copy") def out_string_CIL(): instrucciones=[CILOutString("x"),CILAssign("$result",["self"])] return CILGlobalMethod('out_string',[ParameterNode("self","SELF_TYPE"),ParameterNode("x","String")],["$result"],instrucciones,comments="IO.out_string") def out_int_CIL(): instrucciones=[CILOutInt("x"),CILAssign("$result",["self"])] return CILGlobalMethod('out_int',[ParameterNode("self","SELF_TYPE"),ParameterNode("x","Int")],["$result"],instrucciones,comments="IO.out_int") def in_string_CIL(): instrucciones=[CILInString("$result",[])] return CILGlobalMethod('in_string',[ParameterNode("self","SELF_TYPE")],["$result"],instrucciones,comments="IO.in_string") def in_int_CIL(): instrucciones=[CILInInt("$result",[])] return CILGlobalMethod('in_int',[ParameterNode("self","SELF_TYPE")],["$result"],instrucciones,comments="IO.in_int") def len_string_CIL(): instrucciones=[CILStringLenght("$result",["self"])] return CILGlobalMethod('length',[ParameterNode("self","SELF_TYPE")],["$result"],instrucciones,comments="String.Length") def concat_string_CIL(): instrucciones=[CILStringConcat("$result",["self","s"])] return CILGlobalMethod('concat',[ParameterNode("self","SELF_TYPE"),ParameterNode("s","String")],["$result"],instrucciones,comments="String.Concat") def substring_string_CIL(): instrucciones=[CILStringSubstring("$result",["self","i","l"])] return CILGlobalMethod('substr',[ParameterNode("self","SELF_TYPE"),ParameterNode("i","Int"),ParameterNode("l","Int")],["$result"],instrucciones,comments="String.Substring")

46.093023

180

0.650353

397

3,964

6.365239

0.183879

0.041156

0.074792

0.089038

0.294816

0.203403

0.145627

0.090226

0.044321

0

0.000885

0.145056

3,964

86

180

46.093023

0.744762

0.133451

0

0.089286

0

0.199124

0

0.011628

0

1

0.25

false

0

0.035714

0

0.553571

0

null

0

null

0

1

0

1

0

1

0

3

6e095e5d816ab9d272fb9f0faca6e65cd4688e6b

166

py

Python

GoodsClass.py

HarborYuan/cashier

7abffb4176e94bc8af4746399a5d2c24cd2f8f60

[ "MIT" ]

1

2019-03-07T15:16:57.000Z

GoodsClass.py

HarborYuan/cashier

7abffb4176e94bc8af4746399a5d2c24cd2f8f60

[ "MIT" ]

null

GoodsClass.py

HarborYuan/cashier

7abffb4176e94bc8af4746399a5d2c24cd2f8f60

[ "MIT" ]

null

class Goods(object): __slots__ = ('id', 'name', 'price') def __init__(self,id,name,price): self.id=id self.name=name self.price=price

23.714286

39

0.578313

22

166

4

0.454545

0.136364

0.25

0

0.26506

166

7

40

23.714286

0.721311

0

0.065868

0

1

0.166667

false

0

0.5

0

1

0

null

0

1

0

1

0

null

0

3

6e474400cf0673cf2bf931f04e4ee91bef7b4645

7,807

py

Python

glyphs.py

pcrama/pylcdocr

3e24c55d84b7a3918609eb41e55ce032ce421af9

[ "BSD-2-Clause" ]

null

glyphs.py

pcrama/pylcdocr

3e24c55d84b7a3918609eb41e55ce032ce421af9

[ "BSD-2-Clause" ]

null

glyphs.py

pcrama/pylcdocr

3e24c55d84b7a3918609eb41e55ce032ce421af9

[ "BSD-2-Clause" ]

null

import numpy def scale_array(arr, scale): if (scale != int(scale)) or (scale < 1): raise RuntimeError("scale={!r} must be a positive integer".format(scale)) elif scale == 1: return arr if len(arr.shape) == 2: result = numpy.zeros( (arr.shape[0] * scale, arr.shape[1] * scale), dtype=arr.dtype) for row in range(arr.shape[0]): for col in range(arr.shape[1]): for sub_row in range(scale): for sub_col in range(scale): result[row * scale + sub_row, col * scale + sub_col] = arr[row, col] elif len(arr.shape) == 3: result = numpy.zeros( (arr.shape[0] * scale, arr.shape[1] * scale, arr.shape[2]), dtype=arr.dtype) for row in range(arr.shape[0]): for col in range(arr.shape[1]): for sub_row in range(scale): for sub_col in range(scale): for component in range(arr.shape[2]): result[row * scale + sub_row, col * scale + sub_col, component] = arr[row, col, component] else: raise NotImplementedError("Only 2D greyscale or 2D color image " "scaling is implemented") return result def colorize_greyscale(arr, color, bg_color=None): basetype = numpy.uint8 try: result = numpy.zeros((arr.shape[0], arr.shape[1], len(color)), dtype=basetype) except TypeError: # color is a scalar (can't be enumerated) if bg_color is None: bg_color = 0 result = numpy.zeros((arr.shape[0], arr.shape[1]), dtype=basetype) for row in range(arr.shape[0]): for col in range(arr.shape[1]): result[row, col] = basetype(round( arr[row, col] * (color - bg_color) + bg_color)) else: # color can be enumerated if bg_color is None: bg_color = (0, 0, 0) for row in range(arr.shape[0]): for col in range(arr.shape[1]): for (component, (value, bg_value)) in enumerate(zip(color, bg_color)): result[row, col, component] = basetype(round( arr[row, col] * (value - bg_value) + bg_value)) return result def render_array_on_img(arr, img, x, y): if len(arr.shape) != len(img.shape): raise RuntimeError("arr and img must have same color type") elif (len(arr.shape) == 3) and (arr.shape[2] != img.shape[2]): raise RuntimeError("arr and img must have same color depth") for row in range(arr.shape[0]): for col in range(arr.shape[1]): if (0 <= (col + x) < img.shape[1]) and ( 0 <= (row + y) < img.shape[0]): if len(arr.shape) == 3: for component in range(len(arr.shape)): img[row + y, col + x, component] = arr[row, col, component] else: img[row + y, col + x] = arr[row, col] class Glyph(object): def __init__(self, array): self.data = {1: array,} self.height = array.shape[0] self.width = array.shape[1] def scaled(self, scale): try: return self.data[scale] except KeyError: self.data[scale] = scale_array(self.data[1], scale) return self.data[scale] def render(self, img, x, y, scale=1, color=None, bg_color=None): return render_array_on_img( self.scaled(scale) if color is None else colorize_greyscale(self.scaled(scale), color, bg_color), img, x, y) # 4 pixels below base line + 7 pixels for lower case + 3 pixels for ascenders FONT = { "a": Glyph(numpy.array(( (0, 0, 0, 0, 0, ), (0, 0, 0, 0, 0, ), (0, 0, 0, 0, 0, ), (0, 1, 1, 1, 0, ), (0, 0, 0, 0, 1, ), (0, 0, 0, 0, 1, ), (0, 1, 1, 1, 1, ), (1, 0, 0, 0, 1, ), (1, 0, 0, 0, 1, ), (0, 1, 1, 1, 1, ), (0, 0, 0, 0, 0, ), (0, 0, 0, 0, 0, ), (0, 0, 0, 0, 0, ), (0, 0, 0, 0, 0, ),))), "b": Glyph(numpy.array(( (1, 0, 0, 0, 0, ), (1, 0, 0, 0, 0, ), (1, 0, 0, 0, 0, ), (1, 1, 1, 1, 0, ), (1, 0, 0, 0, 1, ), (1, 0, 0, 0, 1, ), (1, 0, 0, 0, 1, ), (1, 0, 0, 0, 1, ), (1, 0, 0, 0, 1, ), (1, 1, 1, 1, 0, ), (0, 0, 0, 0, 0, ), (0, 0, 0, 0, 0, ), (0, 0, 0, 0, 0, ), (0, 0, 0, 0, 0, ),))), "c": Glyph(numpy.array(( (0, 0, 0, 0, 0, ), (0, 0, 0, 0, 0, ), (0, 0, 0, 0, 0, ), (0, 1, 1, 1, 0, ), (1, 0, 0, 0, 1, ), (1, 0, 0, 0, 0, ), (1, 0, 0, 0, 0, ), (1, 0, 0, 0, 0, ), (1, 0, 0, 0, 1, ), (0, 1, 1, 1, 0, ), (0, 0, 0, 0, 0, ), (0, 0, 0, 0, 0, ), (0, 0, 0, 0, 0, ), (0, 0, 0, 0, 0, ),))), "d": Glyph(numpy.array(( (0, 0, 0, 0, 1, ), (0, 0, 0, 0, 1, ), (0, 0, 0, 0, 1, ), (0, 1, 1, 1, 1, ), (1, 0, 0, 0, 1, ), (1, 0, 0, 0, 1, ), (1, 0, 0, 0, 1, ), (1, 0, 0, 0, 1, ), (1, 0, 0, 0, 1, ), (0, 1, 1, 1, 1, ), (0, 0, 0, 0, 0, ), (0, 0, 0, 0, 0, ), (0, 0, 0, 0, 0, ), (0, 0, 0, 0, 0, ),))), "e": Glyph(numpy.array(( (0, 0, 0, 0, 0, ), (0, 0, 0, 0, 0, ), (0, 0, 0, 0, 0, ), (0, 1, 1, 1, 0, ), (1, 0, 0, 0, 1, ), (1, 0, 0, 0, 1, ), (1, 1, 1, 1, 1, ), (1, 0, 0, 0, 0, ), (1, 0, 0, 0, 0, ), (0, 1, 1, 1, 1, ), (0, 0, 0, 0, 0, ), (0, 0, 0, 0, 0, ), (0, 0, 0, 0, 0, ), (0, 0, 0, 0, 0, ),))), "i": Glyph(numpy.array(( (0, 0, 0, ), (0, 1, 0, ), (0, 0, 0, ), (1, 1, 0, ), (0, 1, 0, ), (0, 1, 0, ), (0, 1, 0, ), (0, 1, 0, ), (0, 1, 0, ), (1, 1, 1, ), (0, 0, 0, ), (0, 0, 0, ), (0, 0, 0, ), (0, 0, 0, ),))), "t": Glyph(numpy.array(( (0, 0, 0, ), (0, 1, 0, ), (1, 1, 1, ), (0, 1, 0, ), (0, 1, 0, ), (0, 1, 0, ), (0, 1, 0, ), (0, 1, 0, ), (0, 1, 0, ), (0, 0, 1, ), (0, 0, 0, ), (0, 0, 0, ), (0, 0, 0, ), (0, 0, 0, ),))), "l": Glyph(numpy.array(( (1, 1, 0, ), (0, 1, 0, ), (0, 1, 0, ), (0, 1, 0, ), (0, 1, 0, ), (0, 1, 0, ), (0, 1, 0, ), (0, 1, 0, ), (0, 1, 0, ), (1, 1, 1, ), (0, 0, 0, ), (0, 0, 0, ), (0, 0, 0, ), (0, 0, 0, ),))), " ": Glyph(numpy.array(( (0, 0, 0, 0, ), (0, 0, 0, 0, ), (0, 0, 0, 0, ), (0, 0, 0, 0, ), (0, 0, 0, 0, ), (0, 0, 0, 0, ), (0, 0, 0, 0, ), (0, 0, 0, 0, ), (0, 0, 0, 0, ), (0, 0, 0, 0, ), (0, 0, 0, 0, ), (0, 0, 0, 0, ), (0, 0, 0, 0, ), (0, 0, 0, 0, ),))), } def render_string_on_img(str_, img, x, y, scale=1, color=None, font=FONT, line_spacing=1, glyph_spacing=1, bg_color=None): start_x = x max_h = 0 for c in str_: if c == '\n': y += max_h + line_spacing x = start_x else: glyph = font[c] glyph.render(img, x, y, scale, color, bg_color=bg_color) max_h = max(max_h, glyph.height * scale) x += glyph.width * scale + glyph_spacing return img

31.607287

122

0.380812

1,155

7,807

2.528139

0.090909

0.228767

0.277397

0.306849

0.543836

0.49726

0.476027

0.462329

0.37774

0

0.129469

0.42321

7,807

246

123

31.735772

0.518987

0.017805

0

0.65678

0

0.023617

0

1

0.029661

false

0

0.004237

0.067797

0

null

1

0

null

0

3

2828e2dff54cd6895de66094491b85fa0f99c642

246

py

Python

neighbourhood/urls.py

ZephonMakale/Neighbour-Watch

77755fd135680cb6a2df08924ed2d1f33430cd1a

[ "MIT" ]

null

neighbourhood/urls.py

ZephonMakale/Neighbour-Watch

77755fd135680cb6a2df08924ed2d1f33430cd1a

[ "MIT" ]

8

2021-04-08T20:59:27.000Z

2022-01-13T03:34:42.000Z

neighbourhood/urls.py

ZephonMakale/Neighbour-Watch

77755fd135680cb6a2df08924ed2d1f33430cd1a

[ "MIT" ]

null

from django.conf import settings from django.conf.urls.static import static from django.contrib import admin from django.urls import path, include urlpatterns = [ path('admin/', admin.site.urls), path('', include('neighbourwatc.urls')) ]

27.333333

43

0.747967

33

246

5.575758

0.424242

0.217391

0.152174

0

0.134146

246

9

44

27.333333

0.86385

0

0.097166

0

1

0

false

0

0.5

0

0.5

0

null

1

0

1

0

null

0

1

0

3

284eb7ad8cd954b4c633ac6c2d72c140676caabc

731

py

Python

src/codes/__init__.py

cvxgrp/qcml

ff5e378cfeeebcf3f85a6e30c3449585f9af869f

[ "BSD-2-Clause-FreeBSD" ]

26

2015-02-06T02:59:17.000Z

2021-11-15T18:13:27.000Z

src/codes/__init__.py

cvxgrp/qcml

ff5e378cfeeebcf3f85a6e30c3449585f9af869f

[ "BSD-2-Clause-FreeBSD" ]

6

2015-06-14T04:43:43.000Z

2019-10-27T11:03:30.000Z

src/codes/__init__.py

cvxgrp/qcml

ff5e378cfeeebcf3f85a6e30c3449585f9af869f

[ "BSD-2-Clause-FreeBSD" ]

6

2015-03-14T07:40:56.000Z

2019-12-30T23:11:36.000Z

""" This contains the basic codes that we need for code generation. These include the coefficients which need to have code generated and other types of codes (e.g., for loops) that are not yet implemented. The encoders for writing the code are also found here. ECHU: Note to AJ, in the future, structured linear algebra objects live in this folder. The encoder figures out how to convert the objects into the appropriate code. """ from . code import Just, LoopRows, LoopCols, LoopOver, Range, Repeat, \ Assign, NNZ from . coefficients.coefficient import ConstantCoeff, OnesCoeff, \ NegateCoeff, AddCoeff, MulCoeff, EyeCoeff, TransposeCoeff, \ ParameterCoeff, ScalarParameterCoeff, SliceCoeff

43

75

0.749658

98

731

5.591837

0.744898

0

0.194254

731

16

76

45.6875

0.93039

0.581395

0

1

0

1

0

true

0

0.4

0

0.4

0

null

0

1

0

null

0

1

0

1

0

3

2853879693d6f76b91c3edff44742457b74328a8

196

py

Python

config/__init__.py

brian-joseph-petersen/oply

b30212492c7657903a88d1026b17beda0a1b9ce3

[ "MIT" ]

null

config/__init__.py

brian-joseph-petersen/oply

b30212492c7657903a88d1026b17beda0a1b9ce3

[ "MIT" ]

null

config/__init__.py

brian-joseph-petersen/oply

b30212492c7657903a88d1026b17beda0a1b9ce3

[ "MIT" ]

null

keywords = ( "class", "def", "else", "end", "if", "int", "new", "nil", "obj", "print" ) primitives = ( "ID", "NUM", "NEWLINE" ) literals = [ ";", ":", "=", "(", ")", "{", "}", ".", "+", "-", "," ]

65.333333

87

0.367347

16

196

4.5

1

0

0.178571

196

3

88

65.333333

0.447205

0

0.28934

0

0.333333

0

1

0

false

0

0.333333

1

0

null

0

1

0

1

0

null

0

3

28629c6a72a1b56cd98ef515df3933857377f343

233

py

Python

src/abe_sim/builder/actuators/head.py

vanjaSophie/abe_sim

ee309f639c170fff29bda9bcfb76555d75ea1a11

[ "BSD-2-Clause" ]

null

src/abe_sim/builder/actuators/head.py

vanjaSophie/abe_sim

ee309f639c170fff29bda9bcfb76555d75ea1a11

[ "BSD-2-Clause" ]

null

src/abe_sim/builder/actuators/head.py

vanjaSophie/abe_sim

ee309f639c170fff29bda9bcfb76555d75ea1a11

[ "BSD-2-Clause" ]

null

from morse.builder.creator import ActuatorCreator class Head(ActuatorCreator): _classpath = "abe_sim.actuators.head.Head" _blendname = "head" def __init__(self, name=None): ActuatorCreator.__init__(self, name)

23.3

49

0.729614

26

233

6.115385

0.692308

0.100629

0.150943

0

0.171674

233

9

50

25.888889

0.823834

0

0.133621

0.116379

0

1

0.166667

false

0

0.166667

0

0.833333

0

1

0

null

0

1

0

null

0

1

0

3

28716d57fb57eaf39b77c684ff4edb74ab260636

33

py

Python

name.py

vanjaBijalkovic/test

cbd853002b796359f49434754a9db3dab92d8c45

[ "BSD-2-Clause" ]

1

2019-12-24T19:41:37.000Z

name.py

vanjaBijalkovic/test

cbd853002b796359f49434754a9db3dab92d8c45

[ "BSD-2-Clause" ]

null

name.py

vanjaBijalkovic/test

cbd853002b796359f49434754a9db3dab92d8c45

[ "BSD-2-Clause" ]

1

2019-11-18T16:15:43.000Z

app_name="freenit" # noqa: E225

16.5

32

0.69697

5

33

4.4

1

0

0.107143

0.151515

33

1

33

0.678571

0.30303

0

0.333333

0

1

0

false

0

1

0

null

0

1

0

null

0

3

288480f63b266108f9afc35a5e5ccd22e087ef01

297

py

Python

tests/test_metric.py

davidthomas5412/ActiveOpticsSimulator

8c2ef23e95ca9e712f113c13611e3a723936d1b7

[ "MIT" ]

4

2019-07-17T23:06:52.000Z

2021-09-15T10:38:51.000Z

tests/test_metric.py

davidthomas5412/ActiveOpticsSimulator

8c2ef23e95ca9e712f113c13611e3a723936d1b7

[ "MIT" ]

5

2019-09-05T22:13:11.000Z

2019-11-18T02:55:08.000Z

tests/test_metric.py

davidthomas5412/ActiveOpticsSimulator

8c2ef23e95ca9e712f113c13611e3a723936d1b7

[ "MIT" ]

null

import numpy as np from aos.metric import SumOfSquares from aos.state import BendingState def test_sum_of_squares(): arr = np.arange(BendingState.LENGTH) x = BendingState(arr) tm = SumOfSquares() ref = np.sum(np.arange(BendingState.LENGTH) ** 2) assert tm.evaluate(x) == ref

24.75

53

0.713805

42

297

4.97619

0.571429

0.066986

0.191388

0.248804

0

0.004115

0.181818

297

11

54

27

0.855967

0

0.111111

1

0.111111

false

0

0.333333

0

0.444444

0

null

0

1

0

null

0

1

0

3

28a39a9e71a3b84988adf58877f75b7cf8860256

42

py

Python

jembatan/__init__.py

leebecker/jembatan

33443dcb37d05308c84430d34aef3b6a1c8bf44e

[ "Apache-2.0" ]

null

jembatan/__init__.py

leebecker/jembatan

33443dcb37d05308c84430d34aef3b6a1c8bf44e

[ "Apache-2.0" ]

null

jembatan/__init__.py

leebecker/jembatan

33443dcb37d05308c84430d34aef3b6a1c8bf44e

[ "Apache-2.0" ]

null

__all__ = ['core', 'typesys', 'wrappers']

21

41

0.619048

4

42

5.5

1

0

0.119048

42

1

42

0.594595

0

0.452381

0

1

0

false

0

1

0

null

0

1

0

null

0

3

9594d98d8cb6de9c957d806676404348a418ce53

175

py

Python

referly/referrals/forms.py

chhantyal/referly

d985b8fa36be0d565bc2bf2b86546729e9150565

[ "BSD-3-Clause" ]

null

referly/referrals/forms.py

chhantyal/referly

d985b8fa36be0d565bc2bf2b86546729e9150565

[ "BSD-3-Clause" ]

null

referly/referrals/forms.py

chhantyal/referly

d985b8fa36be0d565bc2bf2b86546729e9150565

[ "BSD-3-Clause" ]

null

from django import forms from .models import Referral class ReferralUpdateForm(forms.ModelForm): class Meta: model = Referral fields=('title', 'slug',)

17.5

42

0.68

19

175

6.263158

0.736842

0

0.228571

175

10

43

17.5

0.881481

0

0.051136

0

1

0

false

0

0.333333

0

0.666667

0

1

0

null

0

null

0

1

0

1

0

3

959d6e82a169d06acee60260114517b0bbf17cd8

208

py

Python

gafconvert/src/refbed_loader.py

nguyetdang/PARROT

82c3e3a97bcfb4ba5497f051fb229c5f8117a2ce

[ "MIT" ]

null

gafconvert/src/refbed_loader.py

nguyetdang/PARROT

82c3e3a97bcfb4ba5497f051fb229c5f8117a2ce

[ "MIT" ]

null

gafconvert/src/refbed_loader.py

nguyetdang/PARROT

82c3e3a97bcfb4ba5497f051fb229c5f8117a2ce

[ "MIT" ]

null

import pandas as pd def refbed_loader(refbedpath): refbed = pd.read_table(refbedpath, header=None) refbed = refbed.rename(columns={0: "SegName", 1: "Start", 2: "End", 3: "SegID"}) return refbed

26

84

0.677885

29

208

4.793103

0.793103

0

0.023256

0.173077

208

7

85

29.714286

0.784884

0

0.096154

0

1

0.2

false

0

0.2

0

0.6

0

1

0

null

0

1

0

null

0

1

0

3

959ee375f26e1f85fa58198a9986f6f28c84b498

1,509

py

Python

flow/core/kernel/detector/base.py

parthjaggi/flow

45c044536345091b634a0633d7e7fb3f66952542

[ "MIT" ]

5

2020-12-12T19:58:08.000Z

2021-06-11T05:09:40.000Z

flow/core/kernel/detector/base.py

RaptorMai/flow

ad5a3c5b945e0ca6a7f101db739bca82cba1bc00

[ "MIT" ]

1

2021-01-23T14:34:11.000Z

flow/core/kernel/detector/base.py

parthjaggi/flow

45c044536345091b634a0633d7e7fb3f66952542

[ "MIT" ]

null

"""Script containing the base detector kernel class.""" class KernelDetector(object): """Docstring """ def __init__(self, master_kernel): """DocString """ self.master_kernel = master_kernel self.kernel_api = None def pass_api(self, kernel_api): """DocString """ self.kernel_api = kernel_api # State acquisition methods def update(self, reset): """DocString """ raise NotImplementedError def get_ids(self): """DocString """ raise NotImplementedError def get_detectors_on_lane(self, lane_id): """DocString """ raise NotImplementedError def get_detectors_on_edge(self, edge_id): """DocString """ raise NotImplementedError def get_number_of_entered_vehicles(self, detector_id): """DocString """ raise NotImplementedError def get_mean_speed(self, detector_id): """DocString """ raise NotImplementedError def get_vehicle_ids(self, detector_id): """DocString """ raise NotImplementedError def get_occupancy(self, detector_id): """DocString """ raise NotImplementedError def get_mean_length(self, detector_id): """DocString """ raise NotImplementedError def get_time_since_detection(self, detector_id): """DocString """ raise NotImplementedError

21.557143

58

0.591783

139

1,509

6.129496

0.309353

0.164319

0.387324

0.380282

0.589202

0.543427

0.437793

0.320423

0.133803

0

0.314115

1,509

69

59

21.869565

0.823188

0.211398

0

0.384615

0

1

0.461538

false

0.038462

0

0.5

0

null

0

1

0

null

0

1

0

3

95cba40e34b6d28310ca0cf7209b32d9de085e49

557

py

Python

vortex_auth/holder.py

sihrc/vortex-auth

729701628b4e7e446ac86bbc85640e9c997b869f

[ "MIT" ]

null

vortex_auth/holder.py

sihrc/vortex-auth

729701628b4e7e446ac86bbc85640e9c997b869f

[ "MIT" ]

null

vortex_auth/holder.py

sihrc/vortex-auth

729701628b4e7e446ac86bbc85640e9c997b869f

[ "MIT" ]

null

class Auth(object): def __init__(self, values=None): self.values = values or {} def __setattr__(self, name, value): if name != "values": self.values[name] = value else: super().__setattr__(name, value) def __getattribute__(self, key): if key != "values" and key in self.values: return self.values[key] try: return super().__getattribute__(key) except AttributeError: return None def __str__(self): return str(self.values)

26.52381

50

0.56553

61

557

4.770492

0.393443

0.206186

0

0.328546

557

20

51

27.85

0.778075

0

0.021544

0

1

0.235294

false

0

0.058824

0.529412

0

null

1

0

null

0

1

0

1

0

3

95cd1bc7bf6b2dc704141a3d873081e20f78cc58

200

py

Python

acapy_client/models/create_wallet_request_wallet_type.py

Indicio-tech/acapy-client

0bd47af23308362db749c2671a3e7f8259855897

[ "Apache-2.0" ]

4

2021-08-05T09:20:34.000Z

2021-08-08T19:37:29.000Z

acapy_client/models/create_wallet_request_wallet_type.py

Indicio-tech/acapy-client

0bd47af23308362db749c2671a3e7f8259855897

[ "Apache-2.0" ]

null

acapy_client/models/create_wallet_request_wallet_type.py

Indicio-tech/acapy-client

0bd47af23308362db749c2671a3e7f8259855897

[ "Apache-2.0" ]

2

2021-08-12T18:18:45.000Z

2021-08-14T13:22:28.000Z

from enum import Enum class CreateWalletRequestWalletType(str, Enum): ASKAR = "askar" IN_MEMORY = "in_memory" INDY = "indy" def __str__(self) -> str: return str(self.value)

18.181818

47

0.65

24

200

5.166667

0.583333

0.129032

0

0.245

200

10

48

20

0.821192

0

0.09

0

1

0.142857

false

0

0.142857

1

0

1

0

null

0

null

0

1

0

3

95de8fd7e83b49cfb020b0901900bddb3b45dc92

61

py

Python

code/abc147_b_01.py

KoyanagiHitoshi/AtCoder

731892543769b5df15254e1f32b756190378d292

[ "MIT" ]

3

2019-08-16T16:55:48.000Z

2021-04-11T10:21:40.000Z

code/abc147_b_01.py

KoyanagiHitoshi/AtCoder

731892543769b5df15254e1f32b756190378d292

[ "MIT" ]

null

code/abc147_b_01.py

KoyanagiHitoshi/AtCoder

731892543769b5df15254e1f32b756190378d292

[ "MIT" ]

null

S=input() print(sum(S[i]!=S[-i-1] for i in range(len(S)//2)))

30.5

51

0.57377

16

61

2.1875

0.6875

0.114286

0

0.035714

0.081967

61

2

51

30.5

0.589286

0

1

0

false

0

0.5

1

0

null

0

1

0

null

0

1

0

3

2501d3ab7437c7bb1e96d0b88f61af6c179c842f

5,194

py

Python

register.py

gnott/elife-bot

584c315d15d1289e0d2c27c28aaaae31174812e4

[ "MIT" ]

null

register.py

gnott/elife-bot

584c315d15d1289e0d2c27c28aaaae31174812e4

[ "MIT" ]

null

register.py

gnott/elife-bot

584c315d15d1289e0d2c27c28aaaae31174812e4

[ "MIT" ]

null

import json import os import importlib from optparse import OptionParser import boto.swf import settings as settingsLib import workflow import activity # Add parent directory for imports, so activity classes can use elife-poa-xml-generation parentdir = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) os.sys.path.insert(0, parentdir) """ Amazon SWF register workflow or activity utility """ def start(ENV="dev"): # Specify run environment settings settings = settingsLib.get_settings(ENV) # Simple connect conn = boto.swf.layer1.Layer1(settings.aws_access_key_id, settings.aws_secret_access_key) workflow_names = [] workflow_names.append("CopyGlencoeStillImages") workflow_names.append("SilentCorrectionsIngest") workflow_names.append("SilentCorrectionsProcess") workflow_names.append("IngestArticleZip") workflow_names.append("ProcessArticleZip") workflow_names.append("ArticleInformationSupplier") workflow_names.append("Ping") workflow_names.append("Sum") workflow_names.append("ApproveArticlePublication") workflow_names.append("NewS3File") workflow_names.append("S3Monitor") workflow_names.append("LensArticlePublish") workflow_names.append("AdminEmail") workflow_names.append("SendQueuedEmail") workflow_names.append("PackagePOA") workflow_names.append("PublishPOA") workflow_names.append("DepositCrossref") workflow_names.append("PubmedArticleDeposit") workflow_names.append("PublicationEmail") workflow_names.append("FTPArticle") workflow_names.append("PubRouterDeposit") workflow_names.append("PMCDeposit") workflow_names.append("PublishPerfectArticle") workflow_names.append("PostPerfectPublication") for workflow_name in workflow_names: # Import the workflow libraries class_name = "workflow_" + workflow_name module_name = "workflow." + class_name importlib.import_module(module_name) full_path = "workflow." + class_name + "." + class_name # Create the workflow object f = eval(full_path) logger = None workflow_object = f(settings, logger, conn) # Now register it response = workflow_object.register() print 'got response: \n%s' % json.dumps(response, sort_keys=True, indent=4) activity_names = [] activity_names.append("InvalidateCdn") activity_names.append("ConvertImagesToJPG") activity_names.append("DepositIngestAssets") activity_names.append("CopyGlencoeStillImages") activity_names.append("VerifyImageServer") activity_names.append("GeneratePDFCovers") activity_names.append("VerifyGlencoe") activity_names.append("UpdateRepository") activity_names.append("SetEIFPublish") activity_names.append("VersionLookup") activity_names.append("VersionDateLookup") activity_names.append("VerifyPublishResponse") activity_names.append("PublishToLax") activity_names.append("VerifyLaxResponse") activity_names.append("IngestToLax") activity_names.append("PostEIFBridge") activity_names.append("PingWorker") activity_names.append("SetPublicationStatus") activity_names.append("ConvertJATS") activity_names.append("ExpandArticle") activity_names.append("ApplyVersionNumber") activity_names.append("ArchiveArticle") activity_names.append("RewriteEIF") activity_names.append("UpdateLAX") activity_names.append("DepositAssets") activity_names.append("ApprovePublication") activity_names.append("ResizeImages") activity_names.append("PreparePostEIF") activity_names.append("Sum") activity_names.append("S3Monitor") activity_names.append("AdminEmailHistory") activity_names.append("SendQueuedEmail") activity_names.append("LensArticle") activity_names.append("PackagePOA") activity_names.append("PublishFinalPOA") activity_names.append("DepositCrossref") activity_names.append("PubmedArticleDeposit") activity_names.append("PublicationEmail") activity_names.append("FTPArticle") activity_names.append("PubRouterDeposit") activity_names.append("PMCDeposit") activity_names.append("ScheduleCrossref") activity_names.append("ScheduleDownstream") for activity_name in activity_names: # Import the activity libraries class_name = "activity_" + activity_name module_name = "activity." + class_name importlib.import_module(module_name) full_path = "activity." + class_name + "." + class_name # Create the workflow object f = eval(full_path) logger = None activity_object = f(settings, logger, conn) # Now register it response = activity_object.register() print 'got response: \n%s' % json.dumps(response, sort_keys=True, indent=4) if __name__ == "__main__": # Add options parser = OptionParser() parser.add_option("-e", "--env", default="dev", action="store", type="string", dest="env", help="set the environment to run, either dev or live") (options, args) = parser.parse_args() if options.env: ENV = options.env start(ENV)

37.1

93

0.729688

540

5,194

6.792593

0.294444

0.200927

0.222737

0.008179

0.131952

0.123228

0.071974

0

0.001843

0.164228

5,194

139

94

37.366906

0.843124

0.056219

0

0.072727

0

0.23971

0.042606

0

null

0

0.090909

null

0.018182

0

null

1

0

null

0

1

0

3

250c6575a966b42270d95d79d72bfa9e5d31dfb1

456

py

Python

raspberrypi/tcp/video/image_process.py

ChenHao96/tensorflow

82b76ae80ebf5d1f320a6787371b9522e7cd5a69

[ "Apache-2.0" ]

null

raspberrypi/tcp/video/image_process.py

ChenHao96/tensorflow

82b76ae80ebf5d1f320a6787371b9522e7cd5a69

[ "Apache-2.0" ]

null

raspberrypi/tcp/video/image_process.py

ChenHao96/tensorflow

82b76ae80ebf5d1f320a6787371b9522e7cd5a69

[ "Apache-2.0" ]

null

#!/usr/bin/python # -*- coding: UTF-8 -*- DATA_HEAD_LENGTH = 16 def encode_image_array(image_shape=None): if image_shape is not None: # TODO: return None return None def data_receive_length(data_head=None): if data_head is not None: # TODO: return 0 return 0 def decode_image_array(image_array=None, data_head=None): if image_array is not None: # TODO: return None return None

17.538462

57

0.635965

67

456

4.104478

0.358209

0.116364

0.098182

0.141818

0.309091

0.24

0

0.015244

0.280702

456

25

58

18.24

0.823171

0.122807

0

0.461538

0

0.04

0

1

0.230769

false

0

0.692308

0

null

0

null

0

1

0

1

0

1

0

3

25289d6e366512b0f94f796d2689b3d652cd334c

465

py

Python

tests/test_voiceplay_cli.py

tb0hdan/voiceplay

3e35a25cfcf982a3871cf0d819bae4374ee31ecf

[ "Unlicense" ]

2

2017-03-22T10:02:07.000Z

2020-08-02T11:56:47.000Z

tests/test_voiceplay_cli.py

tb0hdan/voiceplay

3e35a25cfcf982a3871cf0d819bae4374ee31ecf

[ "Unlicense" ]

69

2016-12-10T22:27:47.000Z

2017-12-14T05:15:43.000Z

tests/test_voiceplay_cli.py

tb0hdan/voiceplay

3e35a25cfcf982a3871cf0d819bae4374ee31ecf

[ "Unlicense" ]

null

import unittest from tests import mytestrunner from voiceplay.cli.main import main from voiceplay.cli.argparser.argparser import Help, MyArgumentParser from voiceplay.cli.console.console import Console class DummyTestCase(unittest.TestCase): ''' ''' def setUp(self): pass def test_01_test_normal(self): pass def tearDown(self): pass if __name__ == '__main__': classes = [DummyTestCase] mytestrunner(classes)

20.217391

68

0.709677

53

465

6.018868

0.490566

0.122257

0.15047

0

0.005435

0.208602

465

22

69

21.136364

0.861413

0

0.2

0

0.017621

0

1

0.2

false

0.2

0.333333

0

0.6

0

null

0

null

0

1

0

1

0

3

252affda4beaadaf1fcfc5db90865a6aa0df52af

559

py

Python

tests/fixtures/erc20/test_smoke.py

iamdefinitelyahuman/defi-mocks

42167850cad7c83b8257e134df2551906c524800

[ "MIT" ]

3

2020-05-26T22:46:00.000Z

2022-02-03T08:07:08.000Z

tests/fixtures/erc20/test_smoke.py

iamdefinitelyahuman/defi-mocks

42167850cad7c83b8257e134df2551906c524800

[ "MIT" ]

null

tests/fixtures/erc20/test_smoke.py

iamdefinitelyahuman/defi-mocks

42167850cad7c83b8257e134df2551906c524800

[ "MIT" ]

null

# TODO def test_DAI(DAI, accounts): assert DAI.decimals() == 18 DAI._mint_for_testing(10000000, {'from': accounts[0]}) assert DAI.balanceOf(accounts[0]) == 10000000 tx = DAI.transfer(accounts[1], 1000, {'from': accounts[0]}) assert tx.return_value is True def test_USDT(USDT, accounts): assert USDT.decimals() == 6 USDT._mint_for_testing(10000000, {'from': accounts[0]}) assert USDT.balanceOf(accounts[0]) == 10000000 tx = USDT.transfer(accounts[1], 1000, {'from': accounts[0]}) assert tx.return_value is None

24.304348

64

0.667263

77

559

4.714286

0.337662

0.14876

0.143251

0.209366

0.683196

0.528926

0.30303

0

0.11087

0.177102

559

22

65

25.409091

0.678261

0.007156

0

0.028986

0

0.045455

0.5

1

0.166667

false

0

0.166667

0

null

0

1

0

null

0

1

0

3

253696e858ae02286ce09b46621599bfcb9d6d65

1,795

py

Python

src/tests/test_metrics.py

danipab12/Lab3

7b9f43fe169e4c8f745fa946dc0355c8ac739f16

[ "MIT" ]

13

2016-08-01T22:48:17.000Z

2021-06-22T21:06:18.000Z

src/tests/test_metrics.py

danipab12/Lab3

7b9f43fe169e4c8f745fa946dc0355c8ac739f16

[ "MIT" ]

null

src/tests/test_metrics.py

danipab12/Lab3

7b9f43fe169e4c8f745fa946dc0355c8ac739f16

[ "MIT" ]

11

2016-08-01T22:48:20.000Z

2019-09-04T21:14:40.000Z

from unittest import TestCase import numpy as np import toolkit.metrics as metrics class TestMotion(TestCase): def test_true_positives(self): y_true = np.array([[1, 1, 1, 1], [1, 0, 1, 1], [0, 0, 0, 1]]) y_pred = np.array([[0, 1, 1, 1], [0, 1, 1, 1], [0, 1, 0, 1]]) tp, _, _, _ = metrics.multilabel_tp_fp_tn_fn_scores(y_true, y_pred) self.assertSequenceEqual(tp.tolist(), [0, 1, 2, 3]) def test_false_positives(self): y_true = np.array([[1, 1, 1, 0], [1, 1, 0, 0], [1, 0, 0, 0]]) y_pred = np.array([[0, 0, 1, 1], [1, 0, 1, 1], [1, 1, 1, 1]]) _, fp, _, _ = metrics.multilabel_tp_fp_tn_fn_scores(y_true, y_pred) self.assertSequenceEqual(fp.tolist(), [0, 1, 2, 3]) def test_true_negatives(self): y_true = np.array([[1, 1, 1, 0], [1, 1, 0, 0], [1, 0, 0, 0]]) y_pred = np.array([[1, 0, 1, 0], [1, 0, 0, 0], [1, 0, 0, 0]]) _, _, tn, _ = metrics.multilabel_tp_fp_tn_fn_scores(y_true, y_pred) self.assertSequenceEqual(tn.tolist(), [0, 1, 2, 3]) def test_false_negatives(self): y_true = np.array([[1, 0, 0, 1], [1, 1, 1, 1], [1, 0, 1, 1]]) y_pred = np.array([[1, 0, 1, 0], [1, 0, 0, 0], [1, 0, 0, 0]]) _, _, _, fn = metrics.multilabel_tp_fp_tn_fn_scores(y_true, y_pred) self.assertSequenceEqual(fn.tolist(), [0, 1, 2, 3])

38.191489

75

0.418384

244

1,795

2.848361

0.135246

0.080576

0.069065

0.046043

0.821583

0.781295

0.778417

0.696403

0.588489

0.535252

0

0.108632

0.425627

1,795

47

76

38.191489

0.56547

0

0.35

0

0.1

1

0.1

false

0

0.075

0

0.2

0

null

0

1

0

null

0

3

2538b0de9ea0184e4699dbd584291e70337e6998

988

py

Python

weblog/bitorama/admin.py

Hassan1247/bitorama

e28d7889371d0d13643449bfef97161411056371

[ "MIT" ]

1

2021-10-05T13:40:49.000Z

weblog/bitorama/admin.py

Hassan1247/bitorama

e28d7889371d0d13643449bfef97161411056371

[ "MIT" ]

null

weblog/bitorama/admin.py

Hassan1247/bitorama

e28d7889371d0d13643449bfef97161411056371

[ "MIT" ]

null

from django.contrib import admin from .models import * @admin.register(Post) class PostAdmin(admin.ModelAdmin): list_display = ['title', 'description', 'date_created'] @admin.register(Comment) class CommentAdmin(admin.ModelAdmin): list_display = ['post', 'text', 'username', 'verified', 'date_created'] @admin.register(Category) class CategoryAdmin(admin.ModelAdmin): list_display = ['title'] @admin.register(Info) class InfoAdmin(admin.ModelAdmin): list_display = ['title', 'text', 'date_created'] @admin.register(Suggestion) class SuggestionAdmin(admin.ModelAdmin): list_display = ['username', 'subject', 'email', 'date_created'] @admin.register(Picture) class PictureAdmin(admin.ModelAdmin): list_display = ['picture'] @admin.register(Conversation) class ConversationAdmin(admin.ModelAdmin): list_display = ['username_guest', 'subject'] @admin.register(Message) class MessageAdmin(admin.ModelAdmin): list_display = ['username', 'text']

22.454545

75

0.732794

106

988

6.707547

0.349057

0.146273

0.213783

0.292546

0.274262

0

0.119433

988

43

76

22.976744

0.817241

0

0.163968

0

1

0

false

0

0.076923

0

0.692308

0

null

0

1

0

null

0

1

0

3