xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

99e3d3333d7aa18597378ca4a913a1eccc683dc6

4,400

py

Python

evaluations.py

leandrocoding/sudoku

708649bada5b219f50a0cb977ad4317b7e7be2f6

[ "MIT" ]

4

2020-07-05T08:19:40.000Z

2021-01-02T03:00:27.000Z

evaluations.py

leandrocoding/sudoku

708649bada5b219f50a0cb977ad4317b7e7be2f6

[ "MIT" ]

1

2021-03-13T10:41:59.000Z

evaluations.py

leandrocoding/sudoku

708649bada5b219f50a0cb977ad4317b7e7be2f6

[ "MIT" ]

null

"""This python script can be used to test the correctness and finiteness of the algorithms.""" from multiprocessing import Process from BASolver2 import bASolve, bASolverHandle from OPBASolver import OPSolverHandle import time # bASolve() class NonFiniteException(Exception): pass def testcorrectness(algo): """"Test the algorithm specified in <algo> algo: 1: BA-Algorithm 2: OPBA-Algorithm 3: Algorithm X The input will be passed to the algorithm directly """ if algo == 1: return testBA() elif algo == 2: return testOPBA() elif algo == 3: return testAlgoX() def locBASOLVE(grid): print(bASolverHandle(grid)) # print(grid) def testBA(): inputs = [] validInput = [[7, 8, 0, 4, 0, 0, 1, 2, 0], [6, 0, 0, 0, 7, 5, 0, 0, 9], [0, 0, 7, 0, 4, 0, 2, 6, 0], [9, 0, 4, 0, 6, 0, 0, 0, 5], [0, 0, 1, 0, 5,0, 9, 3, 0], [0, 0, 0, 6, 0, 1, 0, 7, 8], [0, 7, 0, 3, 0, 0, 0, 1, 2], [1, 2, 0, 0, 0, 7, 4, 0, 0], [0, 4, 9, 2, 0, 6, 0, 0, 7]] inputs.append(validInput) wrongdim = [[1,2,3,4],[4,3,2,1],[2,1,4,3],[3,4,1,2]] # 4x4 instead of 9x9 inputs.append(wrongdim) # 8 is two times in a collomn at start, therfore unsolvable. invStart = [[7, 8, 0, 4, 0, 0, 1, 2, 0], [6, 8, 0, 0, 7, 5, 0, 0, 9], [0, 0, 7, 0, 4, 0, 2, 6, 0], [9, 0, 4, 0, 6, 0, 0, 0, 5], [0, 0, 1, 0, 5,0, 9, 3, 0], [0, 0, 0, 6, 0, 1, 0, 7, 8], [0, 7, 0, 3, 0, 0, 0, 1, 2], [1, 2, 0, 0, 0, 7, 4, 0, 0], [0, 4, 9, 2, 0, 6, 0, 0, 7]] inputs.append(invStart) # 22 is not valid. invNumbers = [[7, 8, 0, 4, 0, 0, 1, 2, 0], [6, 22, 0, 0, 7, 5, 0, 0, 9], [0, 0, 7, 0, 4, 0, 2, 6, 0], [9, 0, 4, 0, 6, 0, 0, 0, 5], [0, 0, 1, 0, 5,0, 9, 3, 0], [0, 0, 0, 6, 0, 1, 0, 7, 8], [0, 7, 0, 3, 0, 0, 0, 1, 2], [1, 2, 0, 0, 0, 7, 4, 0, 0], [0, 4, 9, 2, 0, 6, 0, 0, 7]] inputs.append(invNumbers) emptyinp = [[0 for _ in range(9)] for _ in range(9)] inputs.append(emptyinp) for inp in inputs: proc = Process(target=locBASOLVE, args=[inp]) proc.start() curtim = time.time() proc.join(timeout=11) # This stops the test if it takes longer than 10 seconds if abs(curtim-time.time()) >10: print("ERROR, took longer than 10 seconds. Stoped after 10 seconds") raise NonFiniteException("The solver took more than 10 seconds.") proc.terminate() print("NEXT") def testOP(): inputs = [] validInput = [[7, 8, 0, 4, 0, 0, 1, 2, 0], [6, 0, 0, 0, 7, 5, 0, 0, 9], [0, 0, 7, 0, 4, 0, 2, 6, 0], [9, 0, 4, 0, 6, 0, 0, 0, 5], [0, 0, 1, 0, 5,0, 9, 3, 0], [0, 0, 0, 6, 0, 1, 0, 7, 8], [0, 7, 0, 3, 0, 0, 0, 1, 2], [1, 2, 0, 0, 0, 7, 4, 0, 0], [0, 4, 9, 2, 0, 6, 0, 0, 7]] inputs.append(validInput) wrongdim = [[1,2,3,4],[4,3,2,1],[2,1,4,3],[3,4,1,2]] # 4x4 instead of 9x9 inputs.append(wrongdim) # 8 is two times in a collomn at start, therfore unsolvable. invStart = [[7, 8, 0, 4, 0, 0, 1, 2, 0], [6, 8, 0, 0, 7, 5, 0, 0, 9], [0, 0, 7, 0, 4, 0, 2, 6, 0], [9, 0, 4, 0, 6, 0, 0, 0, 5], [0, 0, 1, 0, 5,0, 9, 3, 0], [0, 0, 0, 6, 0, 1, 0, 7, 8], [0, 7, 0, 3, 0, 0, 0, 1, 2], [1, 2, 0, 0, 0, 7, 4, 0, 0], [0, 4, 9, 2, 0, 6, 0, 0, 7]] inputs.append(invStart) # 22 is not valid. invNumbers = [[7, 8, 0, 4, 0, 0, 1, 2, 0], [6, 22, 0, 0, 7, 5, 0, 0, 9], [0, 0, 7, 0, 4, 0, 2, 6, 0], [9, 0, 4, 0, 6, 0, 0, 0, 5], [0, 0, 1, 0, 5,0, 9, 3, 0], [0, 0, 0, 6, 0, 1, 0, 7, 8], [0, 7, 0, 3, 0, 0, 0, 1, 2], [1, 2, 0, 0, 0, 7, 4, 0, 0], [0, 4, 9, 2, 0, 6, 0, 0, 7]] inputs.append(invNumbers) # Empty field: emptyinp = [[0 for _ in range(9)] for _ in range(9)] inputs.append(emptyinp) for inp in inputs: proc = Process(target=OPSolverHandle, args=[inp]) proc.start() curtim = time.time() proc.join(timeout=11) # This stops the test if it takes longer than 10 seconds if abs(curtim-time.time()) >10: print("ERROR, took longer than 10 seconds. Stoped after 10 seconds") raise NonFiniteException("The solver took more than 10 seconds.") proc.terminate() print("NEXT") def testOPBA(): pass def testAlgoX(): pass if __name__ == "__main__": testBA() testOP() testAlgoX() # print(bASolverHandle([[0 for _ in range(9)] for _ in range(9)]))

35.483871

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4,400

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false

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null

0

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null

0

5

8220698c204a1446ed030218727b2f760902286f

61

py

Python

echo_text_classifiers/__init__.py

nschaetti/PAN17-author-profiling

c1d1041bbdc4b631709b1cbc134c562fcff2b542

[ "Apache-2.0" ]

1

2022-03-07T15:45:06.000Z

echo_text_classifiers/__init__.py

nschaetti/PAN17-author-profiling

c1d1041bbdc4b631709b1cbc134c562fcff2b542

[ "Apache-2.0" ]

null

echo_text_classifiers/__init__.py

nschaetti/PAN17-author-profiling

c1d1041bbdc4b631709b1cbc134c562fcff2b542

[ "Apache-2.0" ]

null

# Import from .EchoTextClassifier import EchoTextClassifier

15.25

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5

61

10.4

0.6

0

0.114754

61

3

51

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0

null

0

1

0

1

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5

823c37e204f339ffbed684b109b1de9e326b50a2

65

py

Python

gemlog_from_rss/spip/__init__.py

Hookz/Gemlog-from-RSS

b57a311db3008e8b0df2442236c4729a06d9b74d

[ "MIT" ]

1

2021-02-19T16:06:07.000Z

gemlog_from_rss/spip/__init__.py

Hookz/Gemlog-from-RSS

b57a311db3008e8b0df2442236c4729a06d9b74d

[ "MIT" ]

null

gemlog_from_rss/spip/__init__.py

Hookz/Gemlog-from-RSS

b57a311db3008e8b0df2442236c4729a06d9b74d

[ "MIT" ]

null

from .content import SinglePost from .page import Page, MainPage

21.666667

32

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9

65

5.888889

0.666667

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65

2

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true

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null

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1

0

5

4143ccf190301cf56eeae0f7c02717bcd229a66f

213

py

Python

molsysmt/native/old/former_topology/elements/groups/__init__.py

dprada/molsysmt

83f150bfe3cfa7603566a0ed4aed79d9b0c97f5d

[ "MIT" ]

3

2020-06-02T03:55:52.000Z

2022-03-21T04:43:52.000Z

molsysmt/native/old/former_topology/elements/groups/__init__.py

dprada/molsysmt

83f150bfe3cfa7603566a0ed4aed79d9b0c97f5d

[ "MIT" ]

28

2020-06-24T00:55:53.000Z

2021-07-16T22:09:19.000Z

molsysmt/native/old/former_topology/elements/groups/__init__.py

dprada/molsysmt

83f150bfe3cfa7603566a0ed4aed79d9b0c97f5d

[ "MIT" ]

1

2021-06-17T18:55:25.000Z

from .group import Group from .aminoacid import AminoAcid from .nucleotide import Nucleotide from .water import Water from .ion import Ion from .cosolute import Cosolute from .small_molecule import SmallMolecule

23.666667

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0.830986

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6.068966

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213

8

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26.625

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true

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null

0

1

0

1

0

1

0

5

4188e0bdb0246bed574781d83fd5dfac338b69bd

218

py

Python

compiler/python_compiler/engines/py3_8/Compiler.py

unknowncoder05/app-architect

083278e1386562797614f320649ca85d1c44e009

[ "MIT" ]

3

2021-08-12T12:59:27.000Z

2021-08-29T15:30:49.000Z

compiler/python_compiler/engines/py3_8/Compiler.py

unknowncoder05/app-architect

083278e1386562797614f320649ca85d1c44e009

[ "MIT" ]

null

compiler/python_compiler/engines/py3_8/Compiler.py

unknowncoder05/app-architect

083278e1386562797614f320649ca85d1c44e009

[ "MIT" ]

null

from utils.flags import * from .get_fragment_class import get_fragment_class def compile(blueprint:dict, *, level = 0)->str: build = get_fragment_class(blueprint, compile, level=level) return build.compile()

27.25

63

0.756881

30

218

5.3

0.533333

0.207547

0.301887

0

0.005348

0.142202

218

7

64

31.142857

0.84492

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0.4

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1

0

null

0

1

0

1

0

5

68ba116787e1a4e63e9786fddd4525fabeef6657

104

py

Python

desafio21.py

kelson-gs/Desafios-python

b40867a331c0dab84b4ceff5391c5dcd07c42da2

[ "MIT" ]

null

desafio21.py

kelson-gs/Desafios-python

b40867a331c0dab84b4ceff5391c5dcd07c42da2

[ "MIT" ]

null

desafio21.py

kelson-gs/Desafios-python

b40867a331c0dab84b4ceff5391c5dcd07c42da2

[ "MIT" ]

null

import pygame pygame.mixer.init() pygame.mixer.music.load('anzenchitai.mp3') pygame.mixer.music.play()

17.333333

42

0.778846

15

104

5.4

0.6

0.407407

0.395062

0

0.010204

0.057692

104

5

43

20.8

0.816327

0

0.145631

0

1

0

true

0

0.25

0

0.25

0

1

0

null

1

0

1

0

null

0

1

0

5

68bbf627a9afc37939a7f82cf9c685bca13e0e51

10,068

py

Python

salika/views/django_admin_log_views.py

BarisSari/django_crud

ce9586c10da2f865d29d9a18e9ff5582abe5e3a0

[ "MIT" ]

null

salika/views/django_admin_log_views.py

BarisSari/django_crud

ce9586c10da2f865d29d9a18e9ff5582abe5e3a0

[ "MIT" ]

null

salika/views/django_admin_log_views.py

BarisSari/django_crud

ce9586c10da2f865d29d9a18e9ff5582abe5e3a0

[ "MIT" ]

null

from django.views.generic.detail import DetailView from django.views.generic.edit import CreateView, UpdateView, DeleteView from django.views.generic.list import ListView from ..models import DjangoAdminLog from ..forms import DjangoAdminLogForm from django.urls import reverse_lazy from django.urls import reverse from django.http import Http404 class DjangoAdminLogListView(ListView): model = DjangoAdminLog template_name = "salika/django_admin_log_list.html" paginate_by = 20 context_object_name = "django_admin_log_list" allow_empty = True page_kwarg = 'page' paginate_orphans = 0 def __init__(self, **kwargs): return super(DjangoAdminLogListView, self).__init__(**kwargs) def dispatch(self, *args, **kwargs): return super(DjangoAdminLogListView, self).dispatch(*args, **kwargs) def get(self, request, *args, **kwargs): return super(DjangoAdminLogListView, self).get(request, *args, **kwargs) def get_queryset(self): return super(DjangoAdminLogListView, self).get_queryset() def get_allow_empty(self): return super(DjangoAdminLogListView, self).get_allow_empty() def get_context_data(self, *args, **kwargs): ret = super(DjangoAdminLogListView, self).get_context_data(*args, **kwargs) return ret def get_paginate_by(self, queryset): return super(DjangoAdminLogListView, self).get_paginate_by(queryset) def get_context_object_name(self, object_list): return super(DjangoAdminLogListView, self).get_context_object_name(object_list) def paginate_queryset(self, queryset, page_size): return super(DjangoAdminLogListView, self).paginate_queryset(queryset, page_size) def get_paginator(self, queryset, per_page, orphans=0, allow_empty_first_page=True): return super(DjangoAdminLogListView, self).get_paginator(queryset, per_page, orphans=0, allow_empty_first_page=True) def render_to_response(self, context, **response_kwargs): return super(DjangoAdminLogListView, self).render_to_response(context, **response_kwargs) def get_template_names(self): return super(DjangoAdminLogListView, self).get_template_names() class DjangoAdminLogDetailView(DetailView): model = DjangoAdminLog template_name = "salika/django_admin_log_detail.html" context_object_name = "django_admin_log" slug_field = 'slug' slug_url_kwarg = 'slug' pk_url_kwarg = 'pk' def __init__(self, **kwargs): return super(DjangoAdminLogDetailView, self).__init__(**kwargs) def dispatch(self, *args, **kwargs): return super(DjangoAdminLogDetailView, self).dispatch(*args, **kwargs) def get(self, request, *args, **kwargs): return super(DjangoAdminLogDetailView, self).get(request, *args, **kwargs) def get_object(self, queryset=None): return super(DjangoAdminLogDetailView, self).get_object(queryset) def get_queryset(self): return super(DjangoAdminLogDetailView, self).get_queryset() def get_slug_field(self): return super(DjangoAdminLogDetailView, self).get_slug_field() def get_context_data(self, **kwargs): ret = super(DjangoAdminLogDetailView, self).get_context_data(**kwargs) return ret def get_context_object_name(self, obj): return super(DjangoAdminLogDetailView, self).get_context_object_name(obj) def render_to_response(self, context, **response_kwargs): return super(DjangoAdminLogDetailView, self).render_to_response(context, **response_kwargs) def get_template_names(self): return super(DjangoAdminLogDetailView, self).get_template_names() class DjangoAdminLogCreateView(CreateView): model = DjangoAdminLog form_class = DjangoAdminLogForm # fields = ['action_time', 'object_id', 'object_repr', 'action_flag', 'change_message', 'content_type', 'user'] template_name = "salika/django_admin_log_create.html" success_url = reverse_lazy("django_admin_log_list") def __init__(self, **kwargs): return super(DjangoAdminLogCreateView, self).__init__(**kwargs) def dispatch(self, request, *args, **kwargs): return super(DjangoAdminLogCreateView, self).dispatch(request, *args, **kwargs) def get(self, request, *args, **kwargs): return super(DjangoAdminLogCreateView, self).get(request, *args, **kwargs) def post(self, request, *args, **kwargs): return super(DjangoAdminLogCreateView, self).post(request, *args, **kwargs) def get_form_class(self): return super(DjangoAdminLogCreateView, self).get_form_class() def get_form(self, form_class=None): return super(DjangoAdminLogCreateView, self).get_form(form_class) def get_form_kwargs(self, **kwargs): return super(DjangoAdminLogCreateView, self).get_form_kwargs(**kwargs) def get_initial(self): return super(DjangoAdminLogCreateView, self).get_initial() def form_invalid(self, form): return super(DjangoAdminLogCreateView, self).form_invalid(form) def form_valid(self, form): obj = form.save(commit=False) obj.save() return super(DjangoAdminLogCreateView, self).form_valid(form) def get_context_data(self, **kwargs): ret = super(DjangoAdminLogCreateView, self).get_context_data(**kwargs) return ret def render_to_response(self, context, **response_kwargs): return super(DjangoAdminLogCreateView, self).render_to_response(context, **response_kwargs) def get_template_names(self): return super(DjangoAdminLogCreateView, self).get_template_names() def get_success_url(self): return reverse("salika:django_admin_log_detail", args=(self.object.pk,)) class DjangoAdminLogUpdateView(UpdateView): model = DjangoAdminLog form_class = DjangoAdminLogForm # fields = ['action_time', 'object_id', 'object_repr', 'action_flag', 'change_message', 'content_type', 'user'] template_name = "salika/django_admin_log_update.html" initial = {} slug_field = 'slug' slug_url_kwarg = 'slug' pk_url_kwarg = 'pk' context_object_name = "django_admin_log" def __init__(self, **kwargs): return super(DjangoAdminLogUpdateView, self).__init__(**kwargs) def dispatch(self, *args, **kwargs): return super(DjangoAdminLogUpdateView, self).dispatch(*args, **kwargs) def get(self, request, *args, **kwargs): return super(DjangoAdminLogUpdateView, self).get(request, *args, **kwargs) def post(self, request, *args, **kwargs): return super(DjangoAdminLogUpdateView, self).post(request, *args, **kwargs) def get_object(self, queryset=None): return super(DjangoAdminLogUpdateView, self).get_object(queryset) def get_queryset(self): return super(DjangoAdminLogUpdateView, self).get_queryset() def get_slug_field(self): return super(DjangoAdminLogUpdateView, self).get_slug_field() def get_form_class(self): return super(DjangoAdminLogUpdateView, self).get_form_class() def get_form(self, form_class=None): return super(DjangoAdminLogUpdateView, self).get_form(form_class) def get_form_kwargs(self, **kwargs): return super(DjangoAdminLogUpdateView, self).get_form_kwargs(**kwargs) def get_initial(self): return super(DjangoAdminLogUpdateView, self).get_initial() def form_invalid(self, form): return super(DjangoAdminLogUpdateView, self).form_invalid(form) def form_valid(self, form): obj = form.save(commit=False) obj.save() return super(DjangoAdminLogUpdateView, self).form_valid(form) def get_context_data(self, **kwargs): ret = super(DjangoAdminLogUpdateView, self).get_context_data(**kwargs) return ret def get_context_object_name(self, obj): return super(DjangoAdminLogUpdateView, self).get_context_object_name(obj) def render_to_response(self, context, **response_kwargs): return super(DjangoAdminLogUpdateView, self).render_to_response(context, **response_kwargs) def get_template_names(self): return super(DjangoAdminLogUpdateView, self).get_template_names() def get_success_url(self): return reverse("salika:django_admin_log_detail", args=(self.object.pk,)) class DjangoAdminLogDeleteView(DeleteView): model = DjangoAdminLog template_name = "salika/django_admin_log_delete.html" slug_field = 'slug' slug_url_kwarg = 'slug' pk_url_kwarg = 'pk' context_object_name = "django_admin_log" def __init__(self, **kwargs): return super(DjangoAdminLogDeleteView, self).__init__(**kwargs) def dispatch(self, *args, **kwargs): return super(DjangoAdminLogDeleteView, self).dispatch(*args, **kwargs) def get(self, request, *args, **kwargs): raise Http404 def post(self, request, *args, **kwargs): return super(DjangoAdminLogDeleteView, self).post(request, *args, **kwargs) def delete(self, request, *args, **kwargs): return super(DjangoAdminLogDeleteView, self).delete(request, *args, **kwargs) def get_object(self, queryset=None): return super(DjangoAdminLogDeleteView, self).get_object(queryset) def get_queryset(self): return super(DjangoAdminLogDeleteView, self).get_queryset() def get_slug_field(self): return super(DjangoAdminLogDeleteView, self).get_slug_field() def get_context_data(self, **kwargs): ret = super(DjangoAdminLogDeleteView, self).get_context_data(**kwargs) return ret def get_context_object_name(self, obj): return super(DjangoAdminLogDeleteView, self).get_context_object_name(obj) def render_to_response(self, context, **response_kwargs): return super(DjangoAdminLogDeleteView, self).render_to_response(context, **response_kwargs) def get_template_names(self): return super(DjangoAdminLogDeleteView, self).get_template_names() def get_success_url(self): return reverse("salika:django_admin_log_list")

37.707865

124

0.723977

1,150

10,068

6.067826

0.085217

0.09143

0.060906

0.089424

0.878619

0.760963

0.615649

0.598166

0.529808

0

0.001316

0.169944

10,068

266

125

37.849624

0.833672

0.021752

0

0.475936

0

0.039102

0.030774

0

1

0.358289

false

0

0.042781

0.315508

0.946524

0

null

0

1

0

null

0

1

0

1

0

5

ec09fbb6283c15ce280ed78dbf9c0d4cee3fc770

691

py

Python

view/inputs.py

gabrielfelipecsk/searchport

aa1f9067a5d1f59d9913b172cc99e933255a0824

[ "MIT" ]

2

2022-01-16T02:34:40.000Z

2022-02-26T01:31:54.000Z

view/inputs.py

gabrielfelipecsk/searchport

aa1f9067a5d1f59d9913b172cc99e933255a0824

[ "MIT" ]

null

view/inputs.py

gabrielfelipecsk/searchport

aa1f9067a5d1f59d9913b172cc99e933255a0824

[ "MIT" ]

null

from .colors import Colorize from .banners import banner def inputc(text: str, foreground_color: str = 'default', background_color: str = 'default') -> str: return input(Colorize(text, foreground_color, background_color)) def input_banner(text: str, simbol: str = '-', size: int = 50, text_foreground_color: str = 'default', text_background_color: str = 'default', line_foreground_color: str = 'default', line_background_color: str = 'default') -> str: banner(text, simbol, size, text_foreground_color, text_background_color, line_foreground_color, line_background_color) return inputc('>>> ', text_foreground_color, text_background_color)

53.153846

122

0.720695

84

691

5.630952

0.25

0.221987

0.190275

0.158562

0.27907

0.160677

0

0.003484

0.16932

691

12

123

57.583333

0.820557

0

0.068017

0

1

0.222222

false

0

0.222222

0.111111

0.666667

0

null

1

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null

0

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1

0

5

ec36f77c91a8f8042240f5809fbfdc767c72da16

46

py

Python

game/components/__init__.py

MarsRaptor/battleships

81e0a595c05f627de568dad49904be99f0cbf6ac

[ "MIT" ]

null

game/components/__init__.py

MarsRaptor/battleships

81e0a595c05f627de568dad49904be99f0cbf6ac

[ "MIT" ]

null

game/components/__init__.py

MarsRaptor/battleships

81e0a595c05f627de568dad49904be99f0cbf6ac

[ "MIT" ]

null

from .ships import * from .battlegrid import *

23

25

0.76087

6

46

5.833333

0.666667

0

0.152174

46

2

25

23

0.897436

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

ec4acbb13573dbfd3ec65423e098e4ec53a68a25

20

py

Python

test/try.py

realjiangjiapeng/killing-time

ad9c60953b623e6701170a4d823afb492f6a0140

[ "Apache-2.0" ]

null

test/try.py

realjiangjiapeng/killing-time

ad9c60953b623e6701170a4d823afb492f6a0140

[ "Apache-2.0" ]

null

test/try.py

realjiangjiapeng/killing-time

ad9c60953b623e6701170a4d823afb492f6a0140

[ "Apache-2.0" ]

null

print ('HELLO JJP')

10

19

0.65

3

20

4.333333

1

0

0.15

20

1

20

0.764706

0

0.45

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

6b4fc78528b44e95eeb827b77773dc7dd92da655

42

py

Python

src/asphalt/__main__.py

agronholm/asphalt

7b81a71941047770612aeea67e2b3332f92b5c18

[ "Apache-2.0" ]

226

2015-08-19T16:57:32.000Z

2022-03-31T22:28:18.000Z

src/asphalt/__main__.py

Asphalt-framework/asphalt

7b81a71941047770612aeea67e2b3332f92b5c18

[ "Apache-2.0" ]

31

2015-09-05T11:18:33.000Z

2019-03-25T10:51:17.000Z

src/asphalt/__main__.py

Asphalt-framework/asphalt

7b81a71941047770612aeea67e2b3332f92b5c18

[ "Apache-2.0" ]

11

2015-09-04T21:43:34.000Z

2017-12-08T19:06:20.000Z

from asphalt.core.cli import main main()

10.5

33

0.761905

7

42

4.571429

0.857143

0

0.142857

42

3

34

14

0.888889

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

6b8b3dd970c2381dc6fab482c6f4e706bdbe8c46

25

py

Python

core_dev/datetime_/__init__.py

alexzanderr/_core-dev

831f69dad524e450c4243b1dd88f26de80e1d444

[ "MIT" ]

null

core_dev/datetime_/__init__.py

alexzanderr/_core-dev

831f69dad524e450c4243b1dd88f26de80e1d444

[ "MIT" ]

null

core_dev/datetime_/__init__.py

alexzanderr/_core-dev

831f69dad524e450c4243b1dd88f26de80e1d444

[ "MIT" ]

null

from .datetime_ import *

12.5

24

0.76

3

25

6

1

0

0.16

25

2

24

12.5

0.857143

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

6bc8119faa11d3034406f5e04fb3d2f0570e36ee

127

py

Python

django_frontend_presets/presets/__init__.py

mikemenard/django-frontend-presets

0d1837415282ae43488b3e6e66889bc94f1a45b4

[ "BSD-3-Clause" ]

null

django_frontend_presets/presets/__init__.py

mikemenard/django-frontend-presets

0d1837415282ae43488b3e6e66889bc94f1a45b4

[ "BSD-3-Clause" ]

null

django_frontend_presets/presets/__init__.py

mikemenard/django-frontend-presets

0d1837415282ae43488b3e6e66889bc94f1a45b4

[ "BSD-3-Clause" ]

null

from .Bootstrap import Bootstrap from .Init import Init from .React import React from .Reset import Reset from .Vue import Vue

21.166667

32

0.80315

20

127

5.1

0.35

0

0.15748

127

5

33

25.4

0.953271

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

d417880052032f76146a52a10cf7662251c5d90b

122

py

Python

typeconversion.py

ShivamDevopsCommunity/Python_app

aa496fab65267061d5b4f4f374f63d2b5ae43f67

[ "Apache-2.0" ]

1

2020-07-23T11:30:22.000Z

typeconversion.py

ShivamDevopsCommunity/Python_app

aa496fab65267061d5b4f4f374f63d2b5ae43f67

[ "Apache-2.0" ]

null

typeconversion.py

ShivamDevopsCommunity/Python_app

aa496fab65267061d5b4f4f374f63d2b5ae43f67

[ "Apache-2.0" ]

null

birth_year = input('Birth year: ') print(type(birth_year)) age = 2020 - int(birth_year) print(type(age)) print(age)

10.166667

34

0.680328

19

122

4.210526

0.421053

0.45

0.35

0.45

0

0.038835

0.155738

122

11

35

11.090909

0.737864

0

0.103448

0

1

0

false

0

0.6

1

0

null

1

0

null

0

1

0

5

d44934c340554c98f34eefb9a2b323aeeec6a374

265

py

Python

wifi-scheduler/deets.py

lileddie/guest-wifi-scheduler

37b7256458145ab677df4b5fffb270f7cede83b8

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

null

wifi-scheduler/deets.py

lileddie/guest-wifi-scheduler

37b7256458145ab677df4b5fffb270f7cede83b8

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

null

wifi-scheduler/deets.py

lileddie/guest-wifi-scheduler

37b7256458145ab677df4b5fffb270f7cede83b8

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

null

ssh_username='Wireless-LAN-controller-USERNAME' ssh_password='Wireless-LAN-controller-PASSWD' ssh_ip='10.1.1.1' gmail_user='some_user@gmail.com' gmail_password='PASSWD' emdomain='@your_domain.com' emailAddrs=['IT-team@your_domain.com','Wifi-Admin@your_domain.com']

33.125

67

0.803774

42

265

4.857143

0.52381

0.147059

0.191176

0

0.01938

0.026415

265

7

68

37.857143

0.771318

0

0.603774

0.418868

0

1

0

false

0.285714

0

null

0

1

0

1

0

1

null

0

1

0

5

2e0f191ffd0baa303d922ca0110a4a273412b1e0

65

py

Python

gen/tests/__init__.py

makkes/dcos

a6df70f3f58ead134c8c49af8fa1387b4f81c19c

[ "Apache-2.0" ]

2,577

2016-04-19T09:57:39.000Z

2022-03-17T10:34:25.000Z

gen/tests/__init__.py

makkes/dcos

a6df70f3f58ead134c8c49af8fa1387b4f81c19c

[ "Apache-2.0" ]

7,410

2016-04-19T21:19:31.000Z

2022-01-21T20:14:21.000Z

gen/tests/__init__.py

makkes/dcos

a6df70f3f58ead134c8c49af8fa1387b4f81c19c

[ "Apache-2.0" ]

625

2016-04-19T10:09:35.000Z

2022-03-16T10:53:45.000Z

import pytest pytest.register_assert_rewrite('gen.tests.utils')

16.25

49

0.830769

9

65

5.777778

0.888889

0

0.061538

65

3

50

21.666667

0.852459

0

0.230769

0

0.5

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

2e19bc4ef8e76688f627aac760712755f2851717

114

py

Python

fcd_torch/__init__.py

hadim/fcd-torch

71fe153c16ece9b010efd52ed5490973a3b36d9e

[ "MIT" ]

30

2019-02-07T17:41:10.000Z

2022-03-30T08:14:24.000Z

fcd_torch/__init__.py

AIDrug/fcd_torch

a5a966897b89831c596f326df0ba3e151c4cc434

[ "MIT" ]

null

fcd_torch/__init__.py

AIDrug/fcd_torch

a5a966897b89831c596f326df0ba3e151c4cc434

[ "MIT" ]

8

2019-04-08T21:40:27.000Z

2022-02-20T07:58:05.000Z

from .fcd import FCD from .fcd import calculate_frechet_distance __all__ = ['FCD', 'calculate_frechet_distance']

22.8

47

0.798246

15

114

5.533333

0.466667

0.168675

0.313253

0

0.114035

114

4

48

28.5

0.821782

0

0.254386

0.22807

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

cf0de3ba9e20ca39a57f3acbae18add6e56df71b

70

py

Python

core/nn/__init__.py

achaiah/awesome-semantic-segmentation-pytorch

4f945a1989ae8b1bb6b24f1214fa84a7ca8c8e07

[ "Apache-2.0" ]

1

2019-09-09T16:58:48.000Z

core/nn/__init__.py

achaiah/awesome-semantic-segmentation-pytorch

4f945a1989ae8b1bb6b24f1214fa84a7ca8c8e07

[ "Apache-2.0" ]

null

core/nn/__init__.py

achaiah/awesome-semantic-segmentation-pytorch

4f945a1989ae8b1bb6b24f1214fa84a7ca8c8e07

[ "Apache-2.0" ]

1

2019-12-04T03:06:07.000Z

"""Seg NN Modules""" from .sync_bn.syncbn import * from .loss import *

23.333333

29

0.7

11

70

4.363636

0.818182

0

0.142857

70

3

30

23.333333

0.8

0.2

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

cf144bab411bff8503d65becf1b966fa838b391b

286

py

Python

utils/targetTools.py

brzx/pydataloader

005c347b8fd9aca0a35ecf8eccce0a35e7e6da52

[ "BSD-2-Clause" ]

null

utils/targetTools.py

brzx/pydataloader

005c347b8fd9aca0a35ecf8eccce0a35e7e6da52

[ "BSD-2-Clause" ]

null

utils/targetTools.py

brzx/pydataloader

005c347b8fd9aca0a35ecf8eccce0a35e7e6da52

[ "BSD-2-Clause" ]

null

#!/usr/bin/python # -*- coding: utf-8 -*- import abc class TargetTools(): __metaclass__ = abc.ABCMeta @abc.abstractmethod def getConnection(self, username, password, url): pass @abc.abstractmethod def validTarget(self, target): pass

19.066667

54

0.611888

29

286

5.896552

0.758621

0.19883

0.233918

0

0.004808

0.272727

286

15

55

19.066667

0.817308

0.132867

0

0.444444

0

1

0.222222

false

0.333333

0.111111

0

0.555556

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

cf6473217e7645ed213ed7c309d9dc071c16091a

129

py

Python

dl/initializers/initializer_base.py

nuka137/DeepLearningFramework

613881e46b48c2206b9424a49106455cb2336d2e

[ "MIT" ]

10

2020-06-28T05:50:41.000Z

2022-01-30T01:31:43.000Z

dl/initializers/initializer_base.py

nuka137/DeepLearningFramework

613881e46b48c2206b9424a49106455cb2336d2e

[ "MIT" ]

null

dl/initializers/initializer_base.py

nuka137/DeepLearningFramework

613881e46b48c2206b9424a49106455cb2336d2e

[ "MIT" ]

1

2020-07-26T12:36:32.000Z

class InitializerBase: def __init__(self): pass def init(self, shape): raise NotImprementedError()

16.125

35

0.612403

12

129

6.25

0.75

0.186667

0.293333

0

0.310078

129

7

36

18.428571

0.842697

0

1

0.4

false

0.2

0

0.6

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

d849ad31053906c063fe54eb88c77659c721172b

288

py

Python

polish_case_trainer/word/word_bag.py

davidhelbig/casetrainer-api

e420070960996302e8cf4ee370f4cf844222ed98

[ "MIT" ]

5

2018-01-30T22:10:40.000Z

2020-09-22T10:43:57.000Z

polish_case_trainer/word/word_bag.py

davidhelbig/casetrainer-api

e420070960996302e8cf4ee370f4cf844222ed98

[ "MIT" ]

3

2017-05-02T21:42:10.000Z

2019-07-19T09:41:07.000Z

polish_case_trainer/word/word_bag.py

davidhelbig/casetrainer-api

e420070960996302e8cf4ee370f4cf844222ed98

[ "MIT" ]

4

2017-05-01T22:44:57.000Z

2020-09-21T23:34:01.000Z

import random class WordBag: def __init__(self, word_list): if not isinstance(word_list, list): raise TypeError("word_list must be a list object") self.word_list = word_list def get_word_from_bag(self): return random.choice(self.word_list)

22.153846

62

0.670139

41

288

4.390244

0.560976

0.266667

0.2

0

0.253472

288

12

63

24

0.837209

0

0.107639

0

1

0.25

false

0

0.125

0.625

0

null

1

0

null

0

1

0

1

0

5

d8d3a3c4c4228610d78f5c857adca30a66a1762a

142

py

Python

backend/app/views/GetConstructsAsGenbankView/__init__.py

Edinburgh-Genome-Foundry/dab

7eabf76adf3a0b9332c3651b5d0e5e6d98237d2b

[ "MIT" ]

7

2019-04-11T20:36:07.000Z

2020-03-24T07:12:13.000Z

backend/app/views/GetConstructsAsGenbankView/__init__.py

Edinburgh-Genome-Foundry/dab

7eabf76adf3a0b9332c3651b5d0e5e6d98237d2b

[ "MIT" ]

null

backend/app/views/GetConstructsAsGenbankView/__init__.py

Edinburgh-Genome-Foundry/dab

7eabf76adf3a0b9332c3651b5d0e5e6d98237d2b

[ "MIT" ]

null

from .GetConstructsAsGenbank import (GetConstructsAsGenbankView, construct_data_to_assemblies_sequences)

47.333333

76

0.676056

9

142

10.222222

1

0

0.295775

142

2

77

71

0.92

0

1

0

true

0

0.5

0

0.5

0

1

0

1

null

0

1

0

null

0

1

0

1

0

5

d8f50d17f9a52ee96a7037b851918cf13a2ca3ae

96

py

Python

enthought/mayavi/core/ui/mayavi_scene.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/mayavi/core/ui/mayavi_scene.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/mayavi/core/ui/mayavi_scene.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from __future__ import absolute_import from mayavi.core.ui.mayavi_scene import *

24

41

0.833333

14

96

5.285714

0.714286

0

0.114583

96

3

42

32

0.870588

0.125

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

2b157c7b02563c277a3b074729ba1a44f8eb0df3

113

py

Python

endpoints/projects.py

FLUX-SE/TrackedHQ_python_wrapper

d35f868698d0ba0cb2fdb820317f7460b154a6d0

[ "MIT" ]

null

endpoints/projects.py

FLUX-SE/TrackedHQ_python_wrapper

d35f868698d0ba0cb2fdb820317f7460b154a6d0

[ "MIT" ]

null

endpoints/projects.py

FLUX-SE/TrackedHQ_python_wrapper

d35f868698d0ba0cb2fdb820317f7460b154a6d0

[ "MIT" ]

null

from .base import Resource class Projects(Resource): def list(self): return self._get("/projects")

16.142857

37

0.672566

14

113

5.357143

0.785714

0

0.212389

113

6

38

18.833333

0.842697

0

0.079646

0

1

0.25

false

0

0.25

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

2b27627202fcf16a1bd8bdf2adc4734f515109a8

45

py

Python

01_hello/hello02_comment.py

rebeckaflynn/tiny_python_projects

692f24dd00769438e7aaa1c45223b701b20a1192

[ "MIT" ]

null

01_hello/hello02_comment.py

rebeckaflynn/tiny_python_projects

692f24dd00769438e7aaa1c45223b701b20a1192

[ "MIT" ]

null

01_hello/hello02_comment.py

rebeckaflynn/tiny_python_projects

692f24dd00769438e7aaa1c45223b701b20a1192

[ "MIT" ]

null

# Purpose: Say hello print('Hello, World!')

11.25

22

0.666667

6

45

5

0.833333

0

0.155556

45

3

23

15

0.789474

0.4

0

0.541667

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

2b6ab14e30c87422b9c8105893ef622c024762db

121

py

Python

python/testData/inspections/PyUnresolvedReferencesInspection/unusedUnresolvedModuleImported.py

tgodzik/intellij-community

f5ef4191fc30b69db945633951fb160c1cfb7b6f

[ "Apache-2.0" ]

1

2020-06-25T02:17:26.000Z

python/testData/inspections/PyUnresolvedReferencesInspection/unusedUnresolvedModuleImported.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

2

2022-02-19T09:45:05.000Z

2022-02-27T20:32:55.000Z

python/testData/inspections/PyUnresolvedReferencesInspection/unusedUnresolvedModuleImported.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

<warning descr="Unused import statement 'import spam'">import <error descr="No module named spam">spam</error></warning>

60.5

120

0.760331

17

121

5.411765

0.588235

0

0.090909

121

1

121

0.836364

0

0.471074

0

null

0

1

null

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

9925c9a2bda0f481aaea1d23f4f43156ce4186d1

3,345

py

Python

tests/clpy_tests/opencl_tests/test_concatenate.py

fixstars/clpy

693485f85397cc110fa45803c36c30c24c297df0

[ "BSD-3-Clause" ]

142

2018-06-07T07:43:10.000Z

2021-10-30T21:06:32.000Z

tests/clpy_tests/opencl_tests/test_concatenate.py

fixstars/clpy

693485f85397cc110fa45803c36c30c24c297df0

[ "BSD-3-Clause" ]

282

2018-06-07T08:35:03.000Z

2021-03-31T03:14:32.000Z

tests/clpy_tests/opencl_tests/test_concatenate.py

fixstars/clpy

693485f85397cc110fa45803c36c30c24c297df0

[ "BSD-3-Clause" ]

19

2018-06-19T11:07:53.000Z

2021-05-13T20:57:04.000Z

import unittest import clpy import numpy class TestConcatenate(unittest.TestCase): """test clpy.manipulate.join.concatenate method""" def get_numpy_clpy_concatenated_result(self, dtype, shapes, axis): length = [] numpy_ar = [] clpy_ar = [] num_array = len(shapes) for i in range(num_array): length.append(numpy.prod(shapes[i])) numpy_ar.append(numpy.arange( length[i], dtype=dtype).reshape(shapes[i])) clpy_ar.append(clpy.array(numpy_ar[i])) clpy_result = clpy.concatenate((clpy_ar), axis).get() numpy_result = numpy.concatenate((numpy_ar), axis) return (numpy_result, clpy_result) def test_concatenate_2d_2array_axis0(self): dtype = "int64" axis = 0 shapes = [(2, 2), (3, 2)] numpy_result, clpy_result = self.get_numpy_clpy_concatenated_result( dtype, shapes, axis) self.assertTrue(numpy.array_equal(clpy_result, numpy_result)) def test_concatenate_2d_2array_axis1(self): dtype = "int64" axis = 1 shapes = [(2, 2), (2, 3)] numpy_result, clpy_result = self.get_numpy_clpy_concatenated_result( dtype, shapes, axis) self.assertTrue(numpy.array_equal(clpy_result, numpy_result)) def test_concatenate_3d_3array_axis0(self): dtype = "int64" axis = 0 shapes = [(2, 2, 2), (3, 2, 2), (4, 2, 2)] numpy_result, clpy_result = self.get_numpy_clpy_concatenated_result( dtype, shapes, axis) self.assertTrue(numpy.array_equal(clpy_result, numpy_result)) def test_concatenate_3d_3array_axis1(self): dtype = "int64" axis = 1 shapes = [(2, 2, 2), (2, 3, 2), (2, 4, 2)] numpy_result, clpy_result = self.get_numpy_clpy_concatenated_result( dtype, shapes, axis) self.assertTrue(numpy.array_equal(clpy_result, numpy_result)) def test_concatenate_3d_3array_axis2(self): dtype = "int64" axis = 2 shapes = [(2, 2, 2), (2, 2, 3), (2, 2, 4)] numpy_result, clpy_result = self.get_numpy_clpy_concatenated_result( dtype, shapes, axis) self.assertTrue(numpy.array_equal(clpy_result, numpy_result)) def test_concatenate_3d_4array_axis0(self): dtype = "int64" axis = 0 shapes = [(2, 2, 2), (3, 2, 2), (4, 2, 2), (5, 2, 2)] numpy_result, clpy_result = self.get_numpy_clpy_concatenated_result( dtype, shapes, axis) self.assertTrue(numpy.array_equal(clpy_result, numpy_result)) def test_concatenate_3d_4array_axis1(self): dtype = "int64" axis = 1 shapes = [(2, 2, 2), (2, 3, 2), (2, 4, 2), (2, 5, 2)] numpy_result, clpy_result = self.get_numpy_clpy_concatenated_result( dtype, shapes, axis) self.assertTrue(numpy.array_equal(clpy_result, numpy_result)) def test_concatenate_3d_4array_axis2(self): dtype = "int64" axis = 2 shapes = [(2, 2, 2), (2, 2, 3), (2, 2, 4), (2, 2, 5)] numpy_result, clpy_result = self.get_numpy_clpy_concatenated_result( dtype, shapes, axis) self.assertTrue(numpy.array_equal(clpy_result, numpy_result)) if __name__ == '__main__': unittest.main()

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99518065e86a0471bd9b44cb187c5e08ca0206fa

291

py

Python

src/rdml_graph/information_gathering/__init__.py

ianran/rdml_graph

83f3896a2a0f5ceb7e092f4e719fb35254c5a5f8

[ "MIT" ]

4

2020-09-01T17:52:18.000Z

2022-01-18T22:36:48.000Z

src/rdml_graph/information_gathering/__init__.py

ianran/rdml_graph

83f3896a2a0f5ceb7e092f4e719fb35254c5a5f8

[ "MIT" ]

null

src/rdml_graph/information_gathering/__init__.py

ianran/rdml_graph

83f3896a2a0f5ceb7e092f4e719fb35254c5a5f8

[ "MIT" ]

null

# init for information_gathering from .Evaluator import PathEvaluator, PathEvaluatorWithRadius, PathEvaluatorAlongPath, applyBudget from .MaskedEvaluator import MaskedEvaluator from .StochasticOptimizer import StochasticOptimizer from .InfoField import random_field2d, random_multi_field2d

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1

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1

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5

997b54bcf5f7b4cc139e3fa13dc04de3e3c8896b

102

py

Python

python/6Kyu/Split Strings.py

athasv/Codewars-data

5e106466e709fd776f23585ad9f652d0d65b48d3

[ "MIT" ]

null

python/6Kyu/Split Strings.py

athasv/Codewars-data

5e106466e709fd776f23585ad9f652d0d65b48d3

[ "MIT" ]

null

python/6Kyu/Split Strings.py

athasv/Codewars-data

5e106466e709fd776f23585ad9f652d0d65b48d3

[ "MIT" ]

null

def solution(s): return [s[x:x+2] if x < len(s) - 1 else s[-1] + "_" for x in range(0, len(s), 2)]

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1

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null

0

1

0

1

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5

9989614393dfb36145666c0ee972313c9461ff34

73

py

Python

firstpython.py

Renatoirp/CloudCourse

1edd614a7179bf444b122acfebb50f6ffea5c1c2

[ "Apache-2.0" ]

null

firstpython.py

Renatoirp/CloudCourse

1edd614a7179bf444b122acfebb50f6ffea5c1c2

[ "Apache-2.0" ]

null

firstpython.py

Renatoirp/CloudCourse

1edd614a7179bf444b122acfebb50f6ffea5c1c2

[ "Apache-2.0" ]

null

# Display output print("New python file!") print("Add a new print line.")

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1

0

null

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1

0

1

0

5

999a70b638ef43d6635227758b0cf57cc97a50c7

152

py

Python

src/nostradamus/utils/__init__.py

Orlogskapten/tsNostradamus

707cbc23fac3e0f92875d89550046e5c3b7b17d2

[ "MIT" ]

3

2020-07-06T10:58:40.000Z

2020-07-23T21:39:51.000Z

src/nostradamus/utils/__init__.py

wenceslas-sanchez/tsNostradamus

707cbc23fac3e0f92875d89550046e5c3b7b17d2

[ "MIT" ]

null

src/nostradamus/utils/__init__.py

wenceslas-sanchez/tsNostradamus

707cbc23fac3e0f92875d89550046e5c3b7b17d2

[ "MIT" ]

null

from .error import exception_type, check_method_lauched, check_is_int, \ check_is_in, check_key_is_in from .normal_hist import compare_hist_to_norm

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null

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0

1

0

1

0

5

510be31bb9c422b20d34df7cba9b6a88cf0c6ddf

235

py

Python

accounts/forms.py

medfiras/Bazinga

2f77b70a3fe627410ddf0a5be0f074de5e0dccdd

[ "Apache-2.0" ]

null

accounts/forms.py

medfiras/Bazinga

2f77b70a3fe627410ddf0a5be0f074de5e0dccdd

[ "Apache-2.0" ]

1

2015-05-31T10:42:36.000Z

2015-11-03T17:52:06.000Z

accounts/forms.py

medfiras/Bazinga

2f77b70a3fe627410ddf0a5be0f074de5e0dccdd

[ "Apache-2.0" ]

null

from userena.forms import EditProfileForm from userena import views as userena_views class CustomEditProfileForm(userena_views.EditProfileForm): class Meta(EditProfileForm.Meta): exclude = EditProfileForm.Meta.exclude + ['privacy']

39.166667

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null

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1

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1

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5

513b7781461e774c4edea5cc00a442a4bd33ae7d

51

py

Python

gym-voilier-v2-discrete/gym_voilier/envs/__init__.py

pfontana96/smart-sailboat

25b2a524b2601b3f8e72092d7a34beb849b617db

[ "MIT" ]

null

gym-voilier-v2-discrete/gym_voilier/envs/__init__.py

pfontana96/smart-sailboat

25b2a524b2601b3f8e72092d7a34beb849b617db

[ "MIT" ]

null

gym-voilier-v2-discrete/gym_voilier/envs/__init__.py

pfontana96/smart-sailboat

25b2a524b2601b3f8e72092d7a34beb849b617db

[ "MIT" ]

null

from gym_voilier.envs.voilier_env import VoilierEnv

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1

0

1

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5

5ab37c9f2cc9d5f92cea84f7411a66b98892ba55

334

py

Python

pygoogletranslation/urls.py

sha-cmd/Translator

8f01b04c90782feb474204c738cd1b9dbe8fe853

[ "MIT", "Unlicense" ]

null

pygoogletranslation/urls.py

sha-cmd/Translator

8f01b04c90782feb474204c738cd1b9dbe8fe853

[ "MIT", "Unlicense" ]

null

pygoogletranslation/urls.py

sha-cmd/Translator

8f01b04c90782feb474204c738cd1b9dbe8fe853

[ "MIT", "Unlicense" ]

null

# -*- coding: utf-8 -*- """ Predefined URLs used to make google translate requests. """ BASE = 'https://translate.google.com' TOKEN = 'https://translate.google.com/translate_a/element.js' TRANSLATE = 'https://translate.googleapis.com/translate_a/' TRANSLATEURL = 'https://translate.google.com/_/TranslateWebserverUi/data/batchexecute'

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0.241935

0.278226

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0.003247

0.077844

334

8

86

41.75

0.801948

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0

0.7751

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false

0

null

1

0

1

0

1

0

null

0

5

5ab8816bb76e60e81fc3c314b0b1f78ca16670ca

64

py

Python

models/__init__.py

vrdelc/deepmask-pytorch

4432aa06ef43fe845230fd539dcbad27177c37d4

[ "MIT" ]

233

2019-02-20T16:40:02.000Z

2022-01-24T07:08:28.000Z

models/__init__.py

vrdelc/deepmask-pytorch

4432aa06ef43fe845230fd539dcbad27177c37d4

[ "MIT" ]

10

2019-03-19T06:33:00.000Z

2021-02-11T02:49:07.000Z

models/__init__.py

vrdelc/deepmask-pytorch

4432aa06ef43fe845230fd539dcbad27177c37d4

[ "MIT" ]

62

2019-02-21T02:27:56.000Z

2021-11-16T02:37:41.000Z

from .DeepMask import DeepMask from .SharpMask import SharpMask

21.333333

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6.75

0.5

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0.125

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null

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1

0

1

0

1

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5

5ab8ac9f9305d1dcc1a98fb23d25074ad1e3b140

37

py

Python

homeassistant/components/systemmonitor/__init__.py

domwillcode/home-assistant

f170c80bea70c939c098b5c88320a1c789858958

[ "Apache-2.0" ]

30,023

2016-04-13T10:17:53.000Z

2020-03-02T12:56:31.000Z

homeassistant/components/systemmonitor/__init__.py

jagadeeshvenkatesh/core

1bd982668449815fee2105478569f8e4b5670add

[ "Apache-2.0" ]

31,101

2020-03-02T13:00:16.000Z

2022-03-31T23:57:36.000Z

homeassistant/components/systemmonitor/__init__.py

jagadeeshvenkatesh/core

1bd982668449815fee2105478569f8e4b5670add

[ "Apache-2.0" ]

11,956

2016-04-13T18:42:31.000Z

2020-03-02T09:32:12.000Z

"""The systemmonitor integration."""

18.5

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null

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1

0

1

0

null

0

1

0

5

5ac936989b55dd5518ef35edf3a26894eace0277

157

py

Python

NRPG-DataManager.py

oliverfaustino/NRPG-DataManager

71064cb79be304f712aabcceebd6647121d2cb6c

[ "MIT" ]

null

NRPG-DataManager.py

oliverfaustino/NRPG-DataManager

71064cb79be304f712aabcceebd6647121d2cb6c

[ "MIT" ]

null

NRPG-DataManager.py

oliverfaustino/NRPG-DataManager

71064cb79be304f712aabcceebd6647121d2cb6c

[ "MIT" ]

null

from modulos.query import * from modulos.splash_screen import * if __name__ == '__main__': splash_screen(segundos = 2) while True: query()

17.444444

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157

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true

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null

0

1

0

1

0

5

5ad80dcae0e4a2b3ab268f2939266c44cfa02c66

52

py

Python

tests/test_placeholder.py

yhay81/socialname

1907947014d3ba8e518be1374f24c44b89854e29

[ "MIT" ]

null

tests/test_placeholder.py

yhay81/socialname

1907947014d3ba8e518be1374f24c44b89854e29

[ "MIT" ]

7

2021-01-23T11:18:00.000Z

2022-03-12T21:43:13.000Z

tests/test_placeholder.py

yhay81/socialname

1907947014d3ba8e518be1374f24c44b89854e29

[ "MIT" ]

null

def test_sample() -> None: assert True # nosec

17.333333

26

0.634615

7

52

4.571429

1

0

0.25

52

2

27

26

0.820513

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0.5

true

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0

null

0

1

0

null

0

1

0

1

0

5

852cff807d09b429ab0d23969412105f94b87e2b

89

py

Python

citrination_client/util/quote_finder.py

matSciMalcolm/python-citrination-client

a59a2ddd49b3a4323a3393ce13c81172c9b1b645

[ "Apache-2.0" ]

20

2016-06-15T18:40:50.000Z

2022-03-21T11:59:13.000Z

citrination_client/util/quote_finder.py

matSciMalcolm/python-citrination-client

a59a2ddd49b3a4323a3393ce13c81172c9b1b645

[ "Apache-2.0" ]

91

2015-12-23T18:13:43.000Z

2020-07-21T21:33:13.000Z

citrination_client/util/quote_finder.py

matSciMalcolm/python-citrination-client

a59a2ddd49b3a4323a3393ce13c81172c9b1b645

[ "Apache-2.0" ]

18

2016-07-19T15:33:18.000Z

2022-03-02T19:42:24.000Z

try: from urllib.parse import quote except ImportError: from urllib import quote

17.8

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89

5.583333

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true

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null

0

1

0

1

0

5

51830277eec8fa5abb205846898e8caf0f167a74

3,651

py

Python

tests/test_status.py

Nulifier/hp-status

a97132d9c9e037ceb601a506c2742d3dd8610f9b

[ "MIT" ]

null

tests/test_status.py

Nulifier/hp-status

a97132d9c9e037ceb601a506c2742d3dd8610f9b

[ "MIT" ]

null

tests/test_status.py

Nulifier/hp-status

a97132d9c9e037ceb601a506c2742d3dd8610f9b

[ "MIT" ]

null

import unittest from unittest import mock from tests import mocks from hpstatus import status class SystemTest(unittest.TestCase): @mock.patch("hpstatus.status._get_system_feature", side_effect=mocks._get_system_feature) def test_get_fans(self, mock_get_system_feature): data = status.get_fans() self.assertIsInstance(data, list) self.assertNotEqual(len(data), 0) row = data[0] self.assertIsInstance(row, dict) self.assertIn("id", row) self.assertIn("location", row) self.assertIn("present", row) self.assertIn("speed", row) self.assertIn("percentage", row) self.assertIn("redundant", row) self.assertIn("partner", row) self.assertIn("hot_pluggable", row) @mock.patch("hpstatus.status._get_system_feature", side_effect=mocks._get_system_feature) def test_get_powermeter(self, mock_get_system_feature): data = status.get_powermeter() self.assertIsInstance(data, list) self.assertNotEqual(len(data), 0) row = data[0] self.assertIsInstance(row, dict) self.assertIn("id", row) self.assertIn("reading", row) @mock.patch("hpstatus.status._get_system_feature", side_effect=mocks._get_system_feature) def test_get_powersupply(self, mock_get_system_feature): data = status.get_powersupply() self.assertIsInstance(data, list) self.assertNotEqual(len(data), 0) row = data[0] self.assertIsInstance(row, dict) self.assertIn("id", row) self.assertIn("present", row) self.assertIn("redundant", row) self.assertIn("condition", row) self.assertIn("hotplug", row) self.assertIn("reading", row) @mock.patch("hpstatus.status._get_system_feature", side_effect=mocks._get_system_feature) def test_get_temp(self, mock_get_system_feature): data = status.get_temp() self.assertIsInstance(data, list) self.assertNotEqual(len(data), 0) row = data[0] self.assertIsInstance(row, dict) self.assertIn("id", row) self.assertIn("location", row) self.assertIn("temp", row) self.assertIn("threshold", row) class StorageTest(unittest.TestCase): @mock.patch("hpstatus.status._get_storage_controllers", side_effect=mocks._get_storage_controllers) def test_get_storage_controllers(self, mock_get_storage_controllers): data = status.get_storage_controllers() self.assertIsInstance(data, list) self.assertNotEqual(len(data), 0) row = data[0] self.assertIsInstance(row, dict) self.assertIn("id", row) self.assertIn("model", row) self.assertIn("status", row) self.assertIn("cache", row) self.assertIn("battery", row) @mock.patch("hpstatus.status._get_storage_drives", side_effect=mocks._get_storage_drives) def test_get_storage_drives(self, mock_get_storage_drives): data = status.get_storage_drives(1) self.assertIsInstance(data, list) self.assertNotEqual(len(data), 0) row = data[0] self.assertIsInstance(row, dict) self.assertIn("location", row) self.assertIn("port", row) self.assertIn("box", row) self.assertIn("bay", row) self.assertIn("size", row) self.assertIn("status", row) @mock.patch("hpstatus.status._get_storage_drives_detail", side_effect=mocks._get_storage_drives_detail) def test_get_storage_drives_detail(self, mock_get_storage_drives_detail): data = status.get_storage_drives_detail(1) self.assertIsInstance(data, list) self.assertNotEqual(len(data), 0) row = data[0] self.assertIsInstance(row, dict) self.assertIn("location", row) self.assertIn("port", row) self.assertIn("box", row) self.assertIn("bay", row) self.assertIn("size", row) self.assertIn("status", row) self.assertIn("serial", row) self.assertIn("temp", row) self.assertIn("max_temp", row) if __name__ == "__main__": unittest.main()

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1

0

5

5199f14fdf88726ac3b8eabf6653de80b8972703

103

py

Python

rcnn/dataset/__init__.py

qilei123/MASK_4_RETINA2

c02a516f37877c52abc6df9d69bb2ac34ab85950

[ "Apache-2.0" ]

null

rcnn/dataset/__init__.py

qilei123/MASK_4_RETINA2

c02a516f37877c52abc6df9d69bb2ac34ab85950

[ "Apache-2.0" ]

null

rcnn/dataset/__init__.py

qilei123/MASK_4_RETINA2

c02a516f37877c52abc6df9d69bb2ac34ab85950

[ "Apache-2.0" ]

null

from imdb import IMDB from pascal_voc import PascalVOC from coco import coco from retina import retina

20.6

32

0.84466

17

103

5.058824

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0

0.15534

103

4

33

25.75

0.988506

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0

true

0

1

0

1

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1

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null

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null

0

1

0

1

0

1

0

5

51c73412f6b848915731c179d918c5aa37f2bde0

261

py

Python

python/destryseuler/tests/test_p1.py

destrys/euler

7afd8fba023f29c42d11cc4725cb99e49b62b014

[ "MIT" ]

null

python/destryseuler/tests/test_p1.py

destrys/euler

7afd8fba023f29c42d11cc4725cb99e49b62b014

[ "MIT" ]

5

2020-03-24T15:30:22.000Z

2021-06-01T21:51:31.000Z

python/destryseuler/tests/test_p1.py

destrys/euler

7afd8fba023f29c42d11cc4725cb99e49b62b014

[ "MIT" ]

null

from destryseuler import p1 def test_p1_answer(): assert p1.answer(10) == 23 def test_brute(): assert p1.natural_3and5_brute(10) == 23 def test_lambda(): assert p1.natural_3and5_lambda(10) == 23 assert p1.natural_3and5_lambda(1000) == 233168

21.75

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0.716475

40

261

4.425

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0.254237

0.338983

0.293785

0

0.157407

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261

11

51

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0.662037

0

0.5

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0.375

true

0

0.125

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null

0

1

0

null

0

1

0

1

0

5

51c9d30479808975f17a8356968ba3ffdf2e3a45

278

py

Python

src/onegov/form/filters.py

politbuero-kampagnen/onegov-cloud

20148bf321b71f617b64376fe7249b2b9b9c4aa9

[ "MIT" ]

null

src/onegov/form/filters.py

politbuero-kampagnen/onegov-cloud

20148bf321b71f617b64376fe7249b2b9b9c4aa9

[ "MIT" ]

null

src/onegov/form/filters.py

politbuero-kampagnen/onegov-cloud

20148bf321b71f617b64376fe7249b2b9b9c4aa9

[ "MIT" ]

null

from onegov.core.utils import yubikey_public_id def as_float(value): return value and float(value) or 0.0 def strip_whitespace(value): return value and value.strip(' \r\n') or None def yubikey_identifier(value): return value and yubikey_public_id(value) or ''

19.857143

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0.741007

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4.422222

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0.241206

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0

null

0

1

0

null

0

1

0

1

0

5

51d20805035ef6654add7f645a56e481da2c4877

96

py

Python

venv/lib/python3.8/site-packages/clikit/io/output_stream/__init__.py

Retraces/UkraineBot

3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/clikit/io/output_stream/__init__.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/clikit/io/output_stream/__init__.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/64/da/97/267e8a2c0079f193f0db8c07cf48ce560bdfa25b876ba5b0c0a062bc16

96

0.895833

9

96

9.555556

1

0

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96

0.5

0

1

0

null

0

null

0

1

0

null

0

1

0

1

0

null

1

0

1

0

5

51dc8e18a95d43bdff9738868787ec57f30ae57c

2,569

py

Python

tests/unit/dataactvalidator/test_fabs39_detached_award_financial_assistance_2.py

COEJKnight/one

6a5f8cd9468ab368019eb2597821b7837f74d9e2

[ "CC0-1.0" ]

1

2018-10-29T12:54:44.000Z

tests/unit/dataactvalidator/test_fabs39_detached_award_financial_assistance_2.py

COEJKnight/one

6a5f8cd9468ab368019eb2597821b7837f74d9e2

[ "CC0-1.0" ]

null

tests/unit/dataactvalidator/test_fabs39_detached_award_financial_assistance_2.py

COEJKnight/one

6a5f8cd9468ab368019eb2597821b7837f74d9e2

[ "CC0-1.0" ]

null

from tests.unit.dataactcore.factories.staging import DetachedAwardFinancialAssistanceFactory from tests.unit.dataactvalidator.utils import number_of_errors, query_columns _FILE = 'fabs39_detached_award_financial_assistance_2' def test_column_headers(database): expected_subset = {"row_number", "place_of_performance_code", "place_of_perform_country_c"} actual = set(query_columns(_FILE, database)) assert expected_subset == actual def test_success(database): """ PrimaryPlaceOfPerformanceCode must be 00FORGN when PrimaryPlaceofPerformanceCountryCode is not USA, not 00FORGN otherwise. """ det_award_1 = DetachedAwardFinancialAssistanceFactory(place_of_performance_code="00FORGN", place_of_perform_country_c="UKR") det_award_2 = DetachedAwardFinancialAssistanceFactory(place_of_performance_code="00FoRGN", place_of_perform_country_c="uKr") det_award_3 = DetachedAwardFinancialAssistanceFactory(place_of_performance_code="ny**987", place_of_perform_country_c="USA") det_award_4 = DetachedAwardFinancialAssistanceFactory(place_of_performance_code="NY**987", place_of_perform_country_c="UsA") errors = number_of_errors(_FILE, database, models=[det_award_1, det_award_2, det_award_3, det_award_4]) assert errors == 0 def test_failure(database): """ Test failure for PrimaryPlaceOfPerformanceCode must be 00FORGN when PrimaryPlaceofPerformanceCountryCode is not USA, not 00FORGN otherwise. """ det_award_1 = DetachedAwardFinancialAssistanceFactory(place_of_performance_code="00FORGN", place_of_perform_country_c="USA") det_award_2 = DetachedAwardFinancialAssistanceFactory(place_of_performance_code="00FoRGN", place_of_perform_country_c="usA") det_award_3 = DetachedAwardFinancialAssistanceFactory(place_of_performance_code="ny**987", place_of_perform_country_c="UKR") det_award_4 = DetachedAwardFinancialAssistanceFactory(place_of_performance_code="NY**987", place_of_perform_country_c="ukR") errors = number_of_errors(_FILE, database, models=[det_award_1, det_award_2, det_award_3, det_award_4]) assert errors == 4

59.744186

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2,569

42

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0

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0

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0

0.068966

0

0.172414

0

null

0

1

0

null

0

5

cf9753a080d8359212476544e2f2019880886fa3

1,451

py

Python

children/tests/snapshots/snap_test_notifications.py

City-of-Helsinki/kukkuu

61f26bc622928fd04f6a397f832aaffff789e806

[ "MIT" ]

null

children/tests/snapshots/snap_test_notifications.py

City-of-Helsinki/kukkuu

61f26bc622928fd04f6a397f832aaffff789e806

[ "MIT" ]

157

2019-10-08T07:58:59.000Z

2022-03-20T23:00:17.000Z

children/tests/snapshots/snap_test_notifications.py

City-of-Helsinki/kukkuu

61f26bc622928fd04f6a397f832aaffff789e806

[ "MIT" ]

3

2019-10-07T12:06:26.000Z

2022-01-25T14:03:14.000Z

# -*- coding: utf-8 -*- # snapshottest: v1 - https://goo.gl/zC4yUc from __future__ import unicode_literals from snapshottest import Snapshot snapshots = Snapshot() snapshots["test_signup_notification 1"] = [ """kukkuu@example.com|['michellewalker@example.net']|SIGNUP-notifikaation aihe| SIGNUP-notifikaation sisältö tekstimuodossa. Lapset: [<Child: Matti Mainio (2020-01-01)>, <Child: Jussi Juonio (2020-02-02)>] Huoltaja: Gulle Guardian (michellewalker@example.net)""" ] snapshots["test_signup_notification_language[EN] 1"] = [ """kukkuu@example.com|['michellewalker@example.net']|SIGNUP notification subject| SIGNUP notification body text. Children: [<Child: Matti Mainio (2020-01-01)>, <Child: Jussi Juonio (2020-02-02)>] Guardian: Gulle Guardian (michellewalker@example.net)""" ] snapshots["test_signup_notification_language[FI] 1"] = [ """kukkuu@example.com|['michellewalker@example.net']|SIGNUP-notifikaation aihe| SIGNUP-notifikaation sisältö tekstimuodossa. Lapset: [<Child: Matti Mainio (2020-01-01)>, <Child: Jussi Juonio (2020-02-02)>] Huoltaja: Gulle Guardian (michellewalker@example.net)""" ] snapshots["test_signup_notification_language[SV] 1"] = [ """kukkuu@example.com|['michellewalker@example.net']|SIGNUP-notifikaation aihe| SIGNUP-notifikaation sisältö tekstimuodossa. Lapset: [<Child: Matti Mainio (2020-01-01)>, <Child: Jussi Juonio (2020-02-02)>] Huoltaja: Gulle Guardian (michellewalker@example.net)""" ]

40.305556

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174

1,451

6.172414

0.281609

0.156425

0.178771

0.115456

0.798883

0.755121

0

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1,451

35

86

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0

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0.181818

0

null

0

1

0

null

0

5

cfe5ffbaebbe5bd0914a0d5d09fc0b8e3446928a

140

py

Python

extra_foam/database/__init__.py

scottwedge/EXtra-foam

9a170e3097987bf8abf30abb64a52439624367b8

[ "BSD-3-Clause" ]

null

extra_foam/database/__init__.py

scottwedge/EXtra-foam

9a170e3097987bf8abf30abb64a52439624367b8

[ "BSD-3-Clause" ]

null

extra_foam/database/__init__.py

scottwedge/EXtra-foam

9a170e3097987bf8abf30abb64a52439624367b8

[ "BSD-3-Clause" ]

null

from .metadata import Metadata, MetaProxy from .mondata import MonProxy from .data_source import DataTransformer, SourceCatalog, SourceItem

35

67

0.85

16

140

7.375

0.6875

0

0.107143

140

3

68

46.666667

0.944

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

cfe9564e19eb5444e93954e93924e5e1836deed2

139

py

Python

national_id/admin.py

AhmedElmougy/national-id-validator

27d81cd6e3ef556074c0fd5097db0537fd2114c2

[ "BSD-3-Clause" ]

1

2021-06-24T08:31:44.000Z

national_id/admin.py

AhmedElmougy/national-id-validator

27d81cd6e3ef556074c0fd5097db0537fd2114c2

[ "BSD-3-Clause" ]

null

national_id/admin.py

AhmedElmougy/national-id-validator

27d81cd6e3ef556074c0fd5097db0537fd2114c2

[ "BSD-3-Clause" ]

null

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

17.375

41

0.820144

19

139

5.947368

0.684211

0

0.122302

139

7

42

19.857143

0.92623

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0

1

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true

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null

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1

0

null

0

1

0

1

0

1

0

5

cfebdc0f6cd106411e690aa30a03ad7d8289dd06

251

py

Python

pynovice/gaode_map/__init__.py

wqwangchn/novice

d52190a9cd5045726e49aff8610b718636c304c7

[ "MIT" ]

2

2020-06-28T08:30:47.000Z

2020-11-04T07:55:42.000Z

pynovice/gaode_map/__init__.py

wqwangchn/novice

d52190a9cd5045726e49aff8610b718636c304c7

[ "MIT" ]

8

2020-11-13T18:56:02.000Z

2022-02-10T03:16:52.000Z

pynovice/gaode_map/__init__.py

wqwangchn/novice

d52190a9cd5045726e49aff8610b718636c304c7

[ "MIT" ]

2

2020-09-17T00:12:36.000Z

2020-11-04T07:55:55.000Z

# coding=utf-8 # /usr/bin/env python ''' Author: wenqiangw Email: wenqiangw@opera.com Date: 2020-07-28 15:07 Desc: 数据分布画图 ''' from .trajectory_playback import Trajectory as Trajectory_his from .trajectory_playback_v2 import Trajectory as Trajectory

19.307692

61

0.784861

37

251

5.216216

0.702703

0.145078

0.227979

0.290155

0

0.063348

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251

13

62

19.307692

0.809955

0.454183

0

1

0

true

0

1

0

1

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null

0

1

0

null

0

1

0

1

0

1

0

5

cff74728899c8059dabaf8a45e44b747f83f7f39

23

py

Python

classifier/__init__.py

django-stars/django-classifier

d2f207c80b47f755be2e23fc472a838e440088d4

[ "BSD-3-Clause" ]

26

2016-09-01T05:11:57.000Z

2021-09-01T03:38:54.000Z

classifier/__init__.py

django-stars/django-classifier

d2f207c80b47f755be2e23fc472a838e440088d4

[ "BSD-3-Clause" ]

2

2017-04-01T08:48:58.000Z

2018-05-02T13:43:16.000Z

classifier/__init__.py

django-stars/django-classifier

d2f207c80b47f755be2e23fc472a838e440088d4

[ "BSD-3-Clause" ]

2

2017-04-01T08:45:12.000Z

2018-05-01T16:40:17.000Z

VERSION = (0, 2, 2, 1)

11.5

22

0.478261

5

23

2.2

0.8

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0.235294

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23

1

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0

1

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null

0

1

0

1

0

1

0

null

0

5

5c558b5f5e8456363bff492630d64b29d53b48cb

55

py

Python

django_fastapi/test/apply_rds/Package/Connector/__init__.py

ehddn5252/FastAPI_Django

a179aedb62c28d1700578882e681002a61576060

[ "MIT" ]

null

django_fastapi/test/apply_rds/Package/Connector/__init__.py

ehddn5252/FastAPI_Django

a179aedb62c28d1700578882e681002a61576060

[ "MIT" ]

null

django_fastapi/test/apply_rds/Package/Connector/__init__.py

ehddn5252/FastAPI_Django

a179aedb62c28d1700578882e681002a61576060

[ "MIT" ]

1

2021-11-26T08:22:57.000Z

from .Connector import Connector from .Info import Info

27.5

32

0.836364

8

55

5.75

0.5

0

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55

2

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27.5

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true

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0

1

0

1

0

1

0

5

5c59b8fe0c256e8b00d27cb87aafc78c144f7a64

10,263

py

Python

tests/test_main.py

AndreLouisCaron/runwith

cfa2b6ae67d73ec5b24f1502a37060d838276e8b

[ "MIT" ]

null

tests/test_main.py

AndreLouisCaron/runwith

cfa2b6ae67d73ec5b24f1502a37060d838276e8b

[ "MIT" ]

null

tests/test_main.py

AndreLouisCaron/runwith

cfa2b6ae67d73ec5b24f1502a37060d838276e8b

[ "MIT" ]

null

# -*- coding: utf-8 -*- from __future__ import ( print_function, unicode_literals, ) import hypothesis import hypothesis.strategies import mock import os.path import pytest from datetime import timedelta from hypothesis_regex import regex from runwith import ( main, __main__, timespan, SIGKILL, ) try: from shlex import quote except ImportError: from pipes import quote def unused(*args): pass # Must be imported to be tracked by coverage. unused(__main__) SECOND = 1 MINUTE = 60 * SECOND HOUR = 60 * MINUTE DAY = 24 * HOUR WEEK = 7 * DAY def seconds_to_timespan(x): y = '' weeks, x = divmod(x, WEEK) if weeks: y += '%dw' % weeks days, x = divmod(x, DAY) if days: y += '%dd' % days hours, x = divmod(x, HOUR) if hours: y += '%dh' % hours minutes, x = divmod(x, MINUTE) if minutes: y += '%dm' % minutes seconds, x = divmod(x, SECOND) if seconds: y += '%ds' % seconds if x > 0: y += '%dms' % (1000.0 * x) return y @pytest.mark.parametrize('value,expected', [ ('1w', timedelta(weeks=1)), ('7d', timedelta(days=7)), ('2h', timedelta(hours=2)), ('.1m', timedelta(minutes=.1)), ('.7s', timedelta(seconds=.7)), ('5m30s', timedelta(minutes=5, seconds=30)), ]) def test_timespan(value, expected): assert timespan(value) == expected @pytest.mark.parametrize('value', [ '1', '123abc', ]) def test_timespan_invalid(value): with pytest.raises(ValueError) as exc: print(timespan(value)) assert str(exc.value) == ('Invalid time span "%s".' % value) def test_run_without_args(): with mock.patch('subprocess.Popen') as popen: with pytest.raises(SystemExit) as exc: print(main([])) assert exc.value.code == 2 popen.assert_not_called() @hypothesis.given( status=hypothesis.strategies.integers(min_value=-128, max_value=127), command=hypothesis.strategies.lists( elements=hypothesis.strategies.text(min_size=1), min_size=1, ), ) def test_implicit_argv(status, command): with mock.patch('sys.argv', ['runwith', '--'] + command): process = mock.MagicMock() process.returncode = status process.wait.return_value = process.returncode with mock.patch('subprocess.Popen') as popen: popen.side_effect = [process] assert main() == status popen.assert_called_once_with(command) @hypothesis.given( command=hypothesis.strategies.lists( elements=hypothesis.strategies.text(min_size=1), min_size=1, ), ) def test_spawn_failure(command): with mock.patch('subprocess.Popen') as popen: popen.side_effect = OSError('unknown program') with pytest.raises(SystemExit) as exc: print(main(['--'] + command)) assert exc.value.code == 2 popen.assert_called_once_with(command) @hypothesis.given( status=hypothesis.strategies.integers(min_value=-128, max_value=127), command=hypothesis.strategies.lists( elements=hypothesis.strategies.text(min_size=1), min_size=1, ), ) def test_forward_status(status, command): process = mock.MagicMock() process.returncode = status process.wait.return_value = process.returncode with mock.patch('subprocess.Popen') as popen: popen.side_effect = [process] assert main(['--'] + command) == status popen.assert_called_once_with(command) @hypothesis.given( status=hypothesis.strategies.integers(min_value=-128, max_value=127), command=hypothesis.strategies.lists( elements=hypothesis.strategies.text(min_size=1), min_size=1, ), ) def test_redirect_stdin(tempcwd, status, command): process = mock.MagicMock() process.returncode = status process.wait.return_value = process.returncode with open('foo.txt', 'wb') as stream: stream.write(b'FOO') with mock.patch('subprocess.Popen') as popen: popen.side_effect = [process] assert main(['-i', 'foo.txt', '--'] + command) == status popen.assert_called_once_with(command, stdin=mock.ANY) @hypothesis.given( status=hypothesis.strategies.integers(min_value=-128, max_value=127), command=hypothesis.strategies.lists( elements=hypothesis.strategies.text(min_size=1), min_size=1, ), ) def test_redirect_stdout(tempcwd, status, command): process = mock.MagicMock() process.returncode = status process.wait.return_value = process.returncode with mock.patch('subprocess.Popen') as popen: popen.side_effect = [process] assert main(['-o', 'foo.txt', '--'] + command) == status popen.assert_called_once_with(command, stdout=mock.ANY) assert os.path.exists('foo.txt') @hypothesis.given( status=hypothesis.strategies.integers(min_value=-128, max_value=127), command=hypothesis.strategies.lists( elements=hypothesis.strategies.text(min_size=1), min_size=1, ), ) def test_redirect_stderr(tempcwd, status, command): process = mock.MagicMock() process.returncode = status process.wait.return_value = process.returncode with mock.patch('subprocess.Popen') as popen: popen.side_effect = [process] assert main(['-e', 'foo.txt', '--'] + command) == status popen.assert_called_once_with(command, stderr=mock.ANY) assert os.path.exists('foo.txt') @hypothesis.given( status=hypothesis.strategies.integers(min_value=-128, max_value=127), command=hypothesis.strategies.lists( elements=hypothesis.strategies.text(min_size=1), min_size=1, ), workdir=regex(r'\w+').map(quote), ) def test_change_working_directory(tempcwd, status, command, workdir): process = mock.MagicMock() process.returncode = status process.wait.return_value = process.returncode with mock.patch('subprocess.Popen') as popen: popen.side_effect = [process] assert main(['-w', workdir, '--'] + command) == status popen.assert_called_once_with(command, cwd=workdir) @hypothesis.given( status=hypothesis.strategies.integers(min_value=-128, max_value=127), command=hypothesis.strategies.lists( elements=hypothesis.strategies.text(min_size=1), min_size=1, ), timebox=hypothesis.strategies.floats( min_value=0.001, # 1ms max_value=31 * DAY, ).map(seconds_to_timespan), ) def test_respect_timebox(status, command, timebox): process = mock.MagicMock() process.returncode = status process.wait.side_effect = [process.returncode] with mock.patch('subprocess.Popen') as popen: popen.side_effect = [process] assert main(['-t', timebox, '--'] + command) == status popen.assert_called_once_with(command) process.wait.assert_called_once_with() process.send_signal.assert_not_called() process.terminate.assert_not_called() @hypothesis.given( status=hypothesis.strategies.integers(min_value=-128, max_value=127), command=hypothesis.strategies.lists( elements=hypothesis.strategies.text(min_size=1), min_size=1, ), timebox=hypothesis.strategies.floats( min_value=0.001, # 1ms max_value=31 * DAY, ).map(seconds_to_timespan), ) def test_exceed_timebox(status, command, timebox): process = mock.MagicMock() process.returncode = status process.wait.return_value = process.returncode thread = mock.MagicMock() thread.is_alive.side_effect = [True, False] thread.join.side_effect = [None, None] with mock.patch('threading.Thread') as T: T.side_effect = [thread] with mock.patch('subprocess.Popen') as P: P.side_effect = [process] assert main(['-t', timebox, '-g', '2s', '--'] + command) == status P.assert_called_once_with(command) T.assert_called_once() process.send_signal.assert_called_once_with(SIGKILL) process.terminate.assert_not_called() @hypothesis.given( status=hypothesis.strategies.integers(min_value=-128, max_value=127), command=hypothesis.strategies.lists( elements=hypothesis.strategies.text(min_size=1), min_size=1, ), timebox=hypothesis.strategies.floats( min_value=0.001, # 1ms max_value=31 * DAY, ).map(seconds_to_timespan), ) def test_exceed_timebox_no_grace_time(status, command, timebox): process = mock.MagicMock() process.returncode = status process.wait.return_value = process.returncode thread = mock.MagicMock() thread.is_alive.side_effect = [True, True] thread.join.side_effect = [None, None, None] with mock.patch('threading.Thread') as T: T.side_effect = [thread] with mock.patch('subprocess.Popen') as P: P.side_effect = [process] assert main(['-t', timebox, '--'] + command) == status P.assert_called_once_with(command) T.assert_called_once() process.send_signal.assert_not_called() process.terminate.assert_called_once() @hypothesis.given( status=hypothesis.strategies.integers(min_value=-128, max_value=127), command=hypothesis.strategies.lists( elements=hypothesis.strategies.text(min_size=1), min_size=1, ), timebox=hypothesis.strategies.floats( min_value=0.001, # 1ms max_value=31 * DAY, ).map(seconds_to_timespan), ) def test_exceed_timebox_and_grace_time(status, command, timebox): process = mock.MagicMock() process.returncode = status process.wait.return_value = process.returncode thread = mock.MagicMock() thread.is_alive.side_effect = [True, True] thread.join.side_effect = [None, None, None] with mock.patch('threading.Thread') as T: T.side_effect = [thread] with mock.patch('subprocess.Popen') as P: P.side_effect = [process] assert main(['-t', timebox, '-g', '2s', '--'] + command) == status P.assert_called_once_with(command) T.assert_called_once() process.send_signal.assert_called_once_with(SIGKILL) process.terminate.assert_called_once()

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0

null

0

1

0

null

0

5

5c62c7542b38a5760c7218089280959bf24857b6

119

py

Python

enthought/contexts/adapter/unit_conversion_adapter.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/contexts/adapter/unit_conversion_adapter.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/contexts/adapter/unit_conversion_adapter.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from __future__ import absolute_import from codetools.contexts.adapter.unit_conversion_adapter import *

29.75

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null

0

1

0

1

0

1

0

5

5c7c9a535fbd18754102262dd39390f40bebc58c

89

py

Python

sorl/thumbnail_standalone/__init__.py

kreopt/sorl-thumbnail

cbc02e642c45e6206234bcfb0562c243ecffacf7

[ "BSD-3-Clause" ]

null

sorl/thumbnail_standalone/__init__.py

kreopt/sorl-thumbnail

cbc02e642c45e6206234bcfb0562c243ecffacf7

[ "BSD-3-Clause" ]

null

sorl/thumbnail_standalone/__init__.py

kreopt/sorl-thumbnail

cbc02e642c45e6206234bcfb0562c243ecffacf7

[ "BSD-3-Clause" ]

null

from sorl.thumbnail_standalone.base import ThumbnailBackend from sorl import __version__

29.666667

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null

0

1

0

1

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5

5cb56963b7976f720d715207e1996f45b2421639

149

py

Python

shelf/link_title.py

not-nexus/shelf

ea59703082402ad3b6454482f0487418295fbd19

[ "MIT" ]

4

2016-11-07T13:02:18.000Z

2019-09-03T02:04:05.000Z

shelf/link_title.py

not-nexus/shelf

ea59703082402ad3b6454482f0487418295fbd19

[ "MIT" ]

21

2016-11-30T20:44:52.000Z

2017-05-02T15:38:56.000Z

shelf/link_title.py

not-nexus/shelf

ea59703082402ad3b6454482f0487418295fbd19

[ "MIT" ]

2

2017-01-24T14:36:04.000Z

2020-01-13T16:10:05.000Z

class LinkTitle(object): ARTIFACT_LIST = "artifact-list" ARTIFACT_ROOT = "artifact-root" ARTIFACT = "artifact" METADATA = "metadata"

24.833333

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149

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149

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1

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null

0

1

0

5

5cbd0d3f9fd7d3affecf3aeb1717980ce341da1d

12,141

py

Python

tests/unit/data/test_datamodule.py

pietrolesci/pytorch-energizer

31b23347967963cda704bda8b05f3e567368c9bb

[ "MIT" ]

null

tests/unit/data/test_datamodule.py

pietrolesci/pytorch-energizer

31b23347967963cda704bda8b05f3e567368c9bb

[ "MIT" ]

null

tests/unit/data/test_datamodule.py

pietrolesci/pytorch-energizer

31b23347967963cda704bda8b05f3e567368c9bb

[ "MIT" ]

null

import pytest from pytorch_lightning.utilities.exceptions import MisconfigurationException from torch.utils.data.sampler import SequentialSampler from energizer.data import ActiveDataModule from energizer.data.datamodule import FixedLengthSampler @pytest.mark.parametrize("dataset_arg", ["mock_dataset", "mock_hf_dataset"], indirect=True) def test_len(dataset_arg): """Test that measures of length are consistent.""" # no instances ads = ActiveDataModule(num_classes=2, train_dataset=dataset_arg) ads.prepare_data() # useless: just pass but for coverage ads.setup() # useless: just pass but for coverage assert ads.total_labelled_size == ads.train_size + ads.val_size assert len(ads.train_dataset) == ads.train_size == ads.val_size == ads.total_labelled_size == 0 assert len(dataset_arg) == len(ads.pool_dataset) == ads.pool_size assert len(dataset_arg) == ads.total_labelled_size + ads.pool_size # one instance in the train dataset ads.label(0) assert ads.total_labelled_size == ads.train_size + ads.val_size assert len(ads.train_dataset) == ads.train_size == ads.total_labelled_size == 1 assert ads.val_dataset is None assert len(dataset_arg) - ads.total_labelled_size == len(ads.pool_dataset) == ads.pool_size assert len(dataset_arg) == ads.total_labelled_size + ads.pool_size # one instance in the train dataset and one in the val dataset ads.val_split = 0.5 # hack ads.label([0, 1]) assert ads.total_labelled_size == ads.train_size + ads.val_size assert len(ads.train_dataset) == ads.train_size == 2 assert len(ads.val_dataset) == ads.val_size == 1 assert len(dataset_arg) - ads.total_labelled_size == len(ads.pool_dataset) == ads.pool_size assert len(dataset_arg) == ads.total_labelled_size + ads.pool_size @pytest.mark.parametrize("dataset_arg", ["mock_dataset", "mock_hf_dataset"], indirect=True) def test_indexing(dataset_arg): """Test that ActiveDataModule is not indexable directly.""" ads = ActiveDataModule(num_classes=2, train_dataset=dataset_arg) with pytest.raises(TypeError): assert ads[0] @pytest.mark.parametrize("dataset_arg", ["mock_dataset", "mock_hf_dataset"], indirect=True) def test_labelling(dataset_arg): """Test that labelling changes all the required states.""" ads = ActiveDataModule(num_classes=2, train_dataset=dataset_arg) len_dataset_arg = len(dataset_arg) assert ads.last_labelling_step == 0 assert ads.train_size == 0 assert ads.pool_size == len_dataset_arg assert ads.has_labelled_data is False assert ads.has_unlabelled_data is True assert ads.train_dataset.indices == [] for i in range(1, len_dataset_arg + 1): ads.label(0) # always label the first instance in the pool assert ads.last_labelling_step == i assert ads.train_size == i assert ads.pool_size == len_dataset_arg - ads.train_size assert ads.has_labelled_data is True if i < len_dataset_arg: assert ads.has_unlabelled_data is True else: assert ads.has_unlabelled_data is False assert ads.train_dataset.indices == list(range(i)) assert ads.last_labelling_step == len_dataset_arg assert ads.train_size == len_dataset_arg assert ads.pool_size == len_dataset_arg - ads.train_size assert ads.has_labelled_data is True assert ads.has_unlabelled_data is False assert ads.train_dataset.indices == list(range(len_dataset_arg)) @pytest.mark.parametrize("dataset_arg", ["mock_dataset", "mock_hf_dataset"], indirect=True) def test_labelling_multiple_indices(dataset_arg): """Test labelling multiple instances at once.""" ads = ActiveDataModule(num_classes=2, train_dataset=dataset_arg) pool_ids = [0, 8, 7] # they are the first to be labelled so correspond to ids in oracle ads.label(pool_ids) assert ads.train_dataset.indices == sorted(pool_ids) @pytest.mark.parametrize("dataset_arg", ["mock_dataset", "mock_hf_dataset"], indirect=True) def test_labelling_duplicates(dataset_arg): """Test that labelling duplicate indices results in a single instance to be labelled.""" # check behaviour when batch of indices contains ads = ActiveDataModule(num_classes=2, train_dataset=dataset_arg) pool_ids = [0, 0] # they are the first to be labelled so correspond to ids in oracle ads.label(pool_ids) assert ads.train_size == 1 # check behaviour when batch of indices contains ads = ActiveDataModule(num_classes=2, train_dataset=dataset_arg, val_split=0.5) pool_ids = [0, 0, 1] # they are the first to be labelled so correspond to ids in oracle ads.label(pool_ids) assert ads.train_size == ads.val_size == 1 @pytest.mark.parametrize("dataset_arg", ["mock_dataset", "mock_hf_dataset"], indirect=True) def test_labelling_val_split(dataset_arg): """Test that labelling with val_split works.""" # check split works ads = ActiveDataModule(num_classes=2, train_dataset=dataset_arg, val_split=0.5) pool_ids = [0, 1] # they are the first to be labelled so correspond to ids in oracle ads.label(pool_ids) assert ads.train_size == ads.val_size == 1 # check that val_split receives at least 1 instance when there are two labelled instances # and the probability is too small that it randomly would receive just one ads = ActiveDataModule(num_classes=2, train_dataset=dataset_arg, val_split=0.0001) pool_ids = [0, 1] # they are the first to be labelled so correspond to ids in oracle ads.label(pool_ids) assert ads.train_size == ads.val_size == 1 # check behaviour when there is only one instance (bonus: using a duplicate) ads = ActiveDataModule(num_classes=2, train_dataset=dataset_arg, val_split=0.99) pool_ids = [0, 0] # they are the first to be labelled so correspond to ids in oracle ads.label(pool_ids) assert ads.train_size == 1 @pytest.mark.parametrize("dataset_arg", ["mock_dataset", "mock_hf_dataset"], indirect=True) def test_reset_at_labelling_step(dataset_arg): """Test that resetting the labelling steps sets the correct states.""" ads = ActiveDataModule(num_classes=2, train_dataset=dataset_arg) len_dataset_arg = len(dataset_arg) ads.label(0) # label first assert ads.last_labelling_step == 1 assert ads.train_size == 1 assert ads.pool_size == len_dataset_arg - ads.train_size assert ads.has_labelled_data is True assert ads.has_unlabelled_data is True assert ads.train_dataset.indices == [0] ads.label(list(range(len_dataset_arg - 1))) # label the rest assert ads.train_size == len_dataset_arg assert ads.pool_size == len_dataset_arg - ads.train_size assert ads.has_labelled_data is True assert ads.has_unlabelled_data is False assert ads.train_dataset.indices == list(range(len_dataset_arg)) ads.reset_at_labelling_step(1) # go back to when there was one instance assert ads.train_size == 1 assert ads.pool_size == len_dataset_arg - ads.train_size assert ads.has_labelled_data is True assert ads.has_unlabelled_data is True assert ads.train_dataset.indices == [0] ads.reset_at_labelling_step(0) # go back to when there was nothing labelled assert ads.last_labelling_step == 2 assert ads.train_size == 0 assert ads.pool_size == len_dataset_arg - ads.train_size assert ads.has_labelled_data is False assert ads.has_unlabelled_data is True assert ads.train_dataset.indices == [] ads.reset_at_labelling_step(ads.last_labelling_step) # reset to the last step assert ads.train_size == len_dataset_arg assert ads.pool_size == len_dataset_arg - ads.train_size assert ads.has_labelled_data is True assert ads.has_unlabelled_data is False assert ads.train_dataset.indices == list(range(len_dataset_arg)) with pytest.raises(ValueError): assert ads.reset_at_labelling_step(100) @pytest.mark.parametrize("dataset_arg", ["mock_dataset", "mock_hf_dataset"], indirect=True) def test_sample_pool_indices(dataset_arg): ads = ActiveDataModule(num_classes=2, train_dataset=dataset_arg) with pytest.raises(ValueError): assert ads.sample_pool_idx(-1) with pytest.raises(ValueError): assert ads.sample_pool_idx(0) with pytest.raises(ValueError): assert ads.sample_pool_idx(ads.pool_size + 1) assert len(ads.sample_pool_idx(ads.pool_size)) == ads.pool_size assert len(ads.sample_pool_idx(1)) == 1 @pytest.mark.parametrize("dataset_arg", ["mock_dataset", "mock_hf_dataset"], indirect=True) def test_curriculum(dataset_arg): ads = ActiveDataModule(num_classes=2, train_dataset=dataset_arg) for _ in range(5): ads.label(0) assert ads.curriculum_dataset().indices == list(range(5)) @pytest.mark.parametrize("dataset_arg", ["mock_dataset", "mock_hf_dataset"], indirect=True) def test_initial_labelling(dataset_arg): ads = ActiveDataModule(num_classes=2, train_dataset=dataset_arg) assert ads.train_size == 0 ads = ActiveDataModule(num_classes=2, train_dataset=dataset_arg, initial_labels=[0]) assert ads.train_size == 1 ads = ActiveDataModule(num_classes=2, train_dataset=dataset_arg, initial_labels=2) assert ads.train_size == 2 ads = ActiveDataModule(num_classes=2, train_dataset=dataset_arg, initial_labels=2, val_split=0.5) assert ads.train_size == ads.val_size == 1 @pytest.mark.parametrize("dataset_arg", ["mock_dataset", "mock_hf_dataset"], indirect=True) def test_dataloader_len(dataset_arg): for batch_size in range(1, len(dataset_arg) + 1): ads = ActiveDataModule( num_classes=2, train_dataset=dataset_arg, initial_labels=2, batch_size=batch_size, ) assert ads.train_dataloader().batch_size is None assert ads.train_dataloader().batch_sampler.batch_size == batch_size assert len(ads.train_dataloader().batch_sampler) == len(ads.train_dataloader()) # min_steps_per_epoch for shuffle in (True, False): ads = ActiveDataModule(num_classes=2, train_dataset=dataset_arg, initial_labels=2, shuffle=shuffle) ads._min_steps_per_epoch = 1 assert len(ads.train_dataloader().batch_sampler) == len(ads.train_dataloader()) == 2 for _ in range(2): assert next(iter(ads.train_dataloader())) ads = ActiveDataModule(num_classes=2, train_dataset=dataset_arg, initial_labels=2, shuffle=shuffle) ads._min_steps_per_epoch = 10 assert len(ads.train_dataloader().batch_sampler) == len(ads.train_dataloader()) == 10 for _ in range(10): assert next(iter(ads.train_dataloader())) @pytest.mark.parametrize("dataset_arg", ["mock_dataset", "mock_hf_dataset"], indirect=True) def test_sampler_type(dataset_arg): ads = ActiveDataModule( num_classes=2, train_dataset=dataset_arg, test_dataset=dataset_arg, predict_dataset=dataset_arg, val_dataset=dataset_arg, initial_labels=2, batch_size=1, ) assert isinstance(ads.train_dataloader().batch_sampler.sampler, FixedLengthSampler) assert isinstance(ads.pool_dataloader().batch_sampler.sampler, SequentialSampler) assert isinstance(ads.val_dataloader().batch_sampler.sampler, SequentialSampler) assert isinstance(ads.test_dataloader().batch_sampler.sampler, SequentialSampler) assert isinstance(ads.predict_dataloader().batch_sampler.sampler, SequentialSampler) @pytest.mark.parametrize("dataset_arg", ["mock_dataset", "mock_hf_dataset"], indirect=True) def test_raise_errors(dataset_arg): for i in (-0.5, 1.0): with pytest.raises(MisconfigurationException): ActiveDataModule(num_classes=2, train_dataset=dataset_arg, val_split=i) with pytest.raises(MisconfigurationException): ActiveDataModule(num_classes=2, train_dataset=dataset_arg, val_split=i, val_dataset=dataset_arg) with pytest.raises(RuntimeError): ads = ActiveDataModule(num_classes=2, train_dataset=dataset_arg) next(iter(ads.train_dataloader()))

43.206406

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1

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null

0

1

0

5

7a33a1943f4be516367d61e93a16ed20c91bac15

100

py

Python

brain_training/programming_challenges/leetcode/easy/T58_Length_of_Last_Word.py

kuzxnia/algoritms

eda3185f39d79a2657b7ef0da869fcc6b825889d

[ "MIT" ]

null

brain_training/programming_challenges/leetcode/easy/T58_Length_of_Last_Word.py

kuzxnia/algoritms

eda3185f39d79a2657b7ef0da869fcc6b825889d

[ "MIT" ]

null

brain_training/programming_challenges/leetcode/easy/T58_Length_of_Last_Word.py

kuzxnia/algoritms

eda3185f39d79a2657b7ef0da869fcc6b825889d

[ "MIT" ]

null

def lengthOfLastWord_(s): words = s.split() return 0 if len(words) == 0 else len(words[-1])

25

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0.63

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3.875

0.6875

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3

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33.333333

0.746835

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1

0

null

0

1

0

1

0

5

7a4b1a9183a636b76d0da0668faad0f0e939fdff

25

py

Python

dataloaders/__init__.py

RishiTejaMadduri/pyramid-fuse

a8bad9adc2734572c87c5ee4c2a956aa2d04fb97

[ "MIT" ]

null

dataloaders/__init__.py

RishiTejaMadduri/pyramid-fuse

a8bad9adc2734572c87c5ee4c2a956aa2d04fb97

[ "MIT" ]

null

dataloaders/__init__.py

RishiTejaMadduri/pyramid-fuse

a8bad9adc2734572c87c5ee4c2a956aa2d04fb97

[ "MIT" ]

null

from .voc1 import VOC

5

21

0.68

4

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1

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0.055556

0.28

25

4

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6.25

0.888889

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7a58c9e4d6b79dfb6949d7b8df14eeeba0805cf6

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py

Python

tests/unit/dataactvalidator/test_b9_award_financial.py

COEJKnight/one

6a5f8cd9468ab368019eb2597821b7837f74d9e2

[ "CC0-1.0" ]

1

2018-10-29T12:54:44.000Z

tests/unit/dataactvalidator/test_b9_award_financial.py

COEJKnight/one

6a5f8cd9468ab368019eb2597821b7837f74d9e2

[ "CC0-1.0" ]

null

tests/unit/dataactvalidator/test_b9_award_financial.py

COEJKnight/one

6a5f8cd9468ab368019eb2597821b7837f74d9e2

[ "CC0-1.0" ]

null

from tests.unit.dataactcore.factories.staging import AwardFinancialFactory from tests.unit.dataactcore.factories.domain import ProgramActivityFactory from tests.unit.dataactcore.factories.job import SubmissionFactory from tests.unit.dataactvalidator.utils import number_of_errors, query_columns _FILE = 'b9_award_financial' def test_column_headers(database): expected_subset = {'row_number', 'agency_identifier', 'main_account_code', 'program_activity_name', 'program_activity_code'} actual = set(query_columns(_FILE, database)) assert (actual & expected_subset) == expected_subset def test_success(database): """ Testing valid program activity name for the corresponding TAS/TAFS as defined in Section 82 of OMB Circular A-11. """ af_1 = AwardFinancialFactory(row_number=1, agency_identifier='test', main_account_code='test', program_activity_name='test', program_activity_code='test') af_2 = AwardFinancialFactory(row_number=2, agency_identifier='test', main_account_code='test', program_activity_name='test', program_activity_code='test') pa = ProgramActivityFactory(budget_year=2016, agency_id='test', allocation_transfer_id='test', account_number='test', program_activity_name='test', program_activity_code='test') assert number_of_errors(_FILE, database, models=[af_1, af_2, pa]) == 0 def test_success_null(database): """Program activity name/code as null""" af = AwardFinancialFactory(row_number=1, agency_identifier='test', main_account_code='test', program_activity_name=None, program_activity_code=None) pa = ProgramActivityFactory(budget_year=2016, agency_id='test', allocation_transfer_id='test', account_number='test') assert number_of_errors(_FILE, database, models=[af, pa]) == 0 def test_success_fiscal_year(database): """ Testing valid name for FY that matches with budget_year""" af_1 = AwardFinancialFactory(row_number=1, submission_id='1', agency_identifier='test', main_account_code='test', program_activity_name='test', program_activity_code='test') af_2 = AwardFinancialFactory(row_number=1, submission_id='1', agency_identifier='test2', main_account_code='test2', program_activity_name='test2', program_activity_code='test2') pa_1 = ProgramActivityFactory(budget_year=2016, agency_id='test', allocation_transfer_id='test', account_number='test', program_activity_name='test', program_activity_code='test') pa_2 = ProgramActivityFactory(budget_year=2017, agency_id='test2', allocation_transfer_id='test2', account_number='test2', program_activity_name='test2', program_activity_code='test2') submission = SubmissionFactory(submission_id='1', reporting_fiscal_year='2017') assert number_of_errors(_FILE, database, models=[af_1, af_2, pa_1, pa_2], submission=submission) == 0 def test_failure_fiscal_year(database): """ Testing invalid name for FY, not matches with budget_year""" af = AwardFinancialFactory(row_number=1, submission_id='1', agency_identifier='test4', main_account_code='test4', program_activity_name='test4', program_activity_code='test4') pa_1 = ProgramActivityFactory(budget_year=2016, agency_id='test', allocation_transfer_id='test', account_number='test', program_activity_name='test', program_activity_code='test') pa_2 = ProgramActivityFactory(budget_year=2017, agency_id='test2', allocation_transfer_id='test2', account_number='test2', program_activity_name='test2', program_activity_code='test2') pa_3 = ProgramActivityFactory(budget_year=2018, agency_id='test3', allocation_transfer_id='test3', account_number='test3', program_activity_name='test3', program_activity_code='test3') pa_4 = ProgramActivityFactory(budget_year=2019, agency_id='test4', allocation_transfer_id='test4', account_number='test4', program_activity_name='test4', program_activity_code='test4') submission = SubmissionFactory(submission_id='1', reporting_fiscal_year='2017') assert number_of_errors(_FILE, database, models=[af, pa_1, pa_2, pa_3, pa_4], submission=submission) == 1 def test_success_ignore_case(database): """ Testing program activity validation to ignore case """ af = AwardFinancialFactory(row_number=1, agency_identifier='test', main_account_code='test', program_activity_name='TEST', program_activity_code='test') pa = ProgramActivityFactory(budget_year=2016, agency_id='test', allocation_transfer_id='test', account_number='test', program_activity_name='test', program_activity_code='test') assert number_of_errors(_FILE, database, models=[af, pa]) == 0 def test_failure_program_activity_name(database): """ Testing invalid program activity name for the corresponding TAS/TAFS as defined in Section 82 of OMB Circular A-11. """ af_1 = AwardFinancialFactory(row_number=1, agency_identifier='test', main_account_code='test', program_activity_name='test_wrong', program_activity_code='test') af_2 = AwardFinancialFactory(row_number=1, agency_identifier='test', main_account_code='test', program_activity_name='test_wrong', program_activity_code='0000') pa = ProgramActivityFactory(budget_year=2016, agency_id='test', allocation_transfer_id='test', account_number='test', program_activity_name='test', program_activity_code='test') assert number_of_errors(_FILE, database, models=[af_1, af_2, pa]) == 1 def test_failure_program_activity_code(database): """Failure where the program _activity_code does not match""" af_1 = AwardFinancialFactory(row_number=1, agency_identifier='test', main_account_code='test', program_activity_name='test', program_activity_code='test_wrong') af_2 = AwardFinancialFactory(row_number=1, agency_identifier='test', main_account_code='test', program_activity_name='Unknown/Other', program_activity_code='12345') pa = ProgramActivityFactory(budget_year=2016, agency_id='test', allocation_transfer_id='test', account_number='test', program_activity_name='test', program_activity_code='test') assert number_of_errors(_FILE, database, models=[af_1, af_2, pa]) == 1 def test_success_null_program_activity(database): """program activity name/code as null""" af = AwardFinancialFactory(row_number=1, agency_identifier='test_wrong', main_account_code='test', program_activity_name=None, program_activity_code=None) pa = ProgramActivityFactory(budget_year=2016, agency_id='test', allocation_transfer_id='test', account_number='test') assert number_of_errors(_FILE, database, models=[af, pa]) == 0

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488

py

Python

tests/conftest.py

odra/kelo

22930954c6a75ba3e60ec07d258d65d13533b5b0

[ "MIT" ]

null

tests/conftest.py

odra/kelo

22930954c6a75ba3e60ec07d258d65d13533b5b0

[ "MIT" ]

null

tests/conftest.py

odra/kelo

22930954c6a75ba3e60ec07d258d65d13533b5b0

[ "MIT" ]

null

import pytest @pytest.fixture def hello_world_fn(): def fn(): return 'hello world' return fn @pytest.fixture def greetings_fn(): def fn(name): return 'hello %s' % name return fn @pytest.fixture def greetings_default_fn(): def fn(name='nobody'): return 'hello %s' % name return fn @pytest.fixture def complex_fn(): def fn(name, age=32, **kwargs): return '%s is %s years old and lives in %s' % (name, age, kwargs.get('country', 'nowhere')) return fn

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7aa7505271b59ca60c424c74d2860fd22e8cc684

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py

Python

system/imports/validador_de_email.py

ryanprogrammer/Sistema-de-cadastro

de1f1e2332650e7ba1dc43eb7daeafe2e5753b75

[ "MIT" ]

4

2021-12-23T22:56:42.000Z

2022-01-01T06:00:38.000Z

system/imports/validador_de_email.py

ryanprogrammer/registration-system

de1f1e2332650e7ba1dc43eb7daeafe2e5753b75

[ "MIT" ]

null

system/imports/validador_de_email.py

ryanprogrammer/registration-system

de1f1e2332650e7ba1dc43eb7daeafe2e5753b75

[ "MIT" ]

null

def emailValida(email): if '@gmail.com' in email or '@hotmail.com' in email or '@outlook.com' in email: return True else: return False

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py

Python

jaseci_core/jaseci/actions/std.py

Gim3l/jaseci

cca187ed3e6aae31514c6c0353a7844f7703d039

[ "MIT" ]

null

jaseci_core/jaseci/actions/std.py

Gim3l/jaseci

cca187ed3e6aae31514c6c0353a7844f7703d039

[ "MIT" ]

null

jaseci_core/jaseci/actions/std.py

Gim3l/jaseci

cca187ed3e6aae31514c6c0353a7844f7703d039

[ "MIT" ]

null

"""Built in actions for Jaseci""" from .module.standard_actions import * # noqa

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py

Python

hocr_spec/__init__.py

kba/hocr-spec-python

1d41c6f524ba709af451a1a897a805b6414547cd

[ "MIT" ]

5

2017-01-17T20:13:18.000Z

2021-03-25T18:00:28.000Z

hocr_spec/__init__.py

kba/hocr-spec-python

1d41c6f524ba709af451a1a897a805b6414547cd

[ "MIT" ]

4

2016-09-15T15:59:56.000Z

2020-01-03T11:25:26.000Z

hocr_spec/__init__.py

kba/hocr-spec-python

1d41c6f524ba709af451a1a897a805b6414547cd

[ "MIT" ]

3

2017-05-03T10:03:25.000Z

2017-07-19T13:47:15.000Z

# -*- coding: utf-8 -*- """ Classes for validating and parsing hOCR, close to the spec. """ from .spec import HocrSpec from .validate import HocrValidator

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64f676f9dc39b1b750355b9ece3b4cb04859aa3d

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py

Python

master/bopytest-code/code/tasks_proj/tests/func/test_delete.py

AlexRogalskiy/DevArtifacts

931aabb8cbf27656151c54856eb2ea7d1153203a

[ "MIT" ]

4

2018-09-07T15:35:24.000Z

2019-03-27T09:48:12.000Z

master/bopytest-code/code/tasks_proj/tests/func/test_delete.py

AlexRogalskiy/DevArtifacts

931aabb8cbf27656151c54856eb2ea7d1153203a

[ "MIT" ]

371

2020-03-04T21:51:56.000Z

2022-03-31T20:59:11.000Z

master/bopytest-code/code/tasks_proj/tests/func/test_delete.py

AlexRogalskiy/DevArtifacts

931aabb8cbf27656151c54856eb2ea7d1153203a

[ "MIT" ]

3

2019-06-18T19:57:17.000Z

2020-11-06T03:55:08.000Z

def test_delete(): """Placeholder test""" pass

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null

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5

8f199845284d48a07aa7f005ade6fd7c86f09c1e

68

py

Python

clips/training_session/plotsequence.py

thomasbazeille/public_protocols

8d8dd051eda7eec2b8358dae42ab363b7d83e1d0

[ "BSD-3-Clause" ]

3

2019-09-19T13:06:59.000Z

2021-07-03T18:09:32.000Z

clips/training_session/plotsequence.py

thomasbazeille/public_protocols

8d8dd051eda7eec2b8358dae42ab363b7d83e1d0

[ "BSD-3-Clause" ]

2

2017-11-30T19:32:24.000Z

2020-09-03T19:40:13.000Z

clips/training_session/plotsequence.py

thomasbazeille/public_protocols

8d8dd051eda7eec2b8358dae42ab363b7d83e1d0

[ "BSD-3-Clause" ]

3

2019-09-19T13:07:10.000Z

2021-01-14T16:07:16.000Z

import numpy as np import sys import pylab as pl _, f = sys.argv

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py

Python

rltk/blocking/__init__.py

ckxz105/rltk

2d08269002c00c0218421c8c2dc0cc7c4f677131

[ "MIT" ]

null

rltk/blocking/__init__.py

ckxz105/rltk

2d08269002c00c0218421c8c2dc0cc7c4f677131

[ "MIT" ]

null

rltk/blocking/__init__.py

ckxz105/rltk

2d08269002c00c0218421c8c2dc0cc7c4f677131

[ "MIT" ]

null

from rltk.blocking.block import Block from rltk.blocking.block_black_list import BlockBlackList from rltk.blocking.block_generator import BlockGenerator from rltk.blocking.hash_block_generator import HashBlockGenerator from rltk.blocking.token_block_generator import TokenBlockGenerator from rltk.blocking.canopy_block_generator import CanopyBlockGenerator from rltk.blocking.blocking_helper import BlockingHelper

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py

Python

generated-libraries/python/netapp/exports/exportchownmode.py

radekg/netapp-ontap-lib-get

6445ebb071ec147ea82a486fbe9f094c56c5c40d

[ "MIT" ]

2

2017-03-28T15:31:26.000Z

2018-08-16T22:15:18.000Z

generated-libraries/python/netapp/exports/exportchownmode.py

radekg/netapp-ontap-lib-get

6445ebb071ec147ea82a486fbe9f094c56c5c40d

[ "MIT" ]

null

generated-libraries/python/netapp/exports/exportchownmode.py

radekg/netapp-ontap-lib-get

6445ebb071ec147ea82a486fbe9f094c56c5c40d

[ "MIT" ]

null

class Exportchownmode(basestring): """ restricted|unrestricted Possible values: <ul> <li> "restricted" , <li> "unrestricted" </ul> """ @staticmethod def get_api_name(): return "exportchownmode"

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1

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1

0

5

8f71414f26283f636acf131540cc80063b73c4d4

691

py

Python

components/amp-utility/python/Snd.py

ekmixon/AliOS-Things

00334295af8aa474d818724149726ca93da4645d

[ "Apache-2.0" ]

4,538

2017-10-20T05:19:03.000Z

2022-03-30T02:29:30.000Z

components/amp-utility/python/Snd.py

ekmixon/AliOS-Things

00334295af8aa474d818724149726ca93da4645d

[ "Apache-2.0" ]

1,088

2017-10-21T07:57:22.000Z

2022-03-31T08:15:49.000Z

components/amp-utility/python/Snd.py

willianchanlovegithub/AliOS-Things

637c0802cab667b872d3b97a121e18c66f256eab

[ "Apache-2.0" ]

1,860

2017-10-20T05:22:35.000Z

2022-03-27T10:54:14.000Z

# * coding: UTF8 * """ 这里所有的的接口仅需要调用一次即可，具体接口和参数如下所示。 ================================================================================================= """ def install_codec_driver(): """ 声卡安装，仅需要调用一次。 :param 空: :returns: 0: 成功，其他: 失败 :raises OSError: EINVAL """ pass def uninstall_codec_driver(): """ 声卡卸载，仅需要调用一次。 :param 空: :returns: 0: 成功，其他: 失败 :raises OSError: EINVAL """ pass def init(): """ 初始化uVoice功能组件，仅需要调用一次。 :param 空: :returns: 0: 成功，其他: 失败 :raises OSError: EINVAL """ pass def deinit(): """ 取消初始化uVoice功能组件，仅需要调用一次。 :param 空: :returns: 0: 成功，其他: 失败 :raises OSError: EINVAL """ pass

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56ad3f65e7e326b6c8e24ade681a2bdad38713f8

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py

Python

je_auto_control/windows/screen/__init__.py

JE-Chen/AutoControl

c2d78f0b428d27aef2ea27f210d11c6dc1144221

[ "MIT" ]

1

2022-03-27T14:59:45.000Z

je_auto_control/windows/screen/__init__.py

JE-Chen/AutoControl

c2d78f0b428d27aef2ea27f210d11c6dc1144221

[ "MIT" ]

2

2021-11-19T13:45:37.000Z

2021-12-03T12:25:28.000Z

je_auto_control/windows/screen/__init__.py

JE-Chen/AutoControl

c2d78f0b428d27aef2ea27f210d11c6dc1144221

[ "MIT" ]

null

from je_auto_control.windows.screen.win32_screen import size

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56bf87b62349b915ce3f570672341fdac70f6f1f

58

py

Python

physballs/physballs.py

Dhhoyt/Physballs

2225f5d88c7e16ac2b9aa59eb6e312eb62750955

[ "MIT" ]

null

physballs/physballs.py

Dhhoyt/Physballs

2225f5d88c7e16ac2b9aa59eb6e312eb62750955

[ "MIT" ]

null

physballs/physballs.py

Dhhoyt/Physballs

2225f5d88c7e16ac2b9aa59eb6e312eb62750955

[ "MIT" ]

null

from graphics.render import open_window open_window()

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56c02adeb142ee8a2831146de93928ab4c1be844

60

py

Python

compute/dbconn/dbconn/models/incident.py

djfurman/well-managed-deployments

b61c9adb7212bb2f2a03f007568760ec5a36af72

[ "BSD-3-Clause" ]

1

2020-05-18T00:28:12.000Z

compute/dbconn/dbconn/models/incident.py

djfurman/well-managed-deployments

b61c9adb7212bb2f2a03f007568760ec5a36af72

[ "BSD-3-Clause" ]

10

2018-04-02T23:09:50.000Z

2018-04-22T15:58:08.000Z

compute/dbconn/dbconn/models/incident.py

djfurman/well-managed-deployments

b61c9adb7212bb2f2a03f007568760ec5a36af72

[ "BSD-3-Clause" ]

null

from orator import Model class Incident(Model): pass

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56cdb1a4bb76205dcc32cb83ce84f25a331f0228

217

py

Python

coast/timeseries.py

British-Oceanographic-Data-Centre/NEMO-ENTRUST

41ed278e56428404ab8ec41d74a9a3a761e308ae

[ "MIT" ]

null

coast/timeseries.py

British-Oceanographic-Data-Centre/NEMO-ENTRUST

41ed278e56428404ab8ec41d74a9a3a761e308ae

[ "MIT" ]

null

coast/timeseries.py

British-Oceanographic-Data-Centre/NEMO-ENTRUST

41ed278e56428404ab8ec41d74a9a3a761e308ae

[ "MIT" ]

null

"""Timeseries Class""" from .index import Indexed from . import general_utils class Timeseries(Indexed): """Parent class for Tidegauge and other timeseries type datasets Common methods ... """ pass

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5

56d2493a0437ee12a9fdd6e4cf50891d7f181b49

35,632

py

Python

mysite/patterns/35.py

BioinfoNet/prepub

e19c48cabf8bd22736dcef9308a5e196cfd8119a

[ "MIT" ]

19

2016-06-17T23:36:27.000Z

2020-01-13T16:41:55.000Z

mysite/patterns/35.py

BioinfoNet/prepub

e19c48cabf8bd22736dcef9308a5e196cfd8119a

[ "MIT" ]

13

2016-06-06T12:57:05.000Z

2019-02-05T02:21:00.000Z

patterns/35.py

OmnesRes/GRIMMER

173c99ebdb6a9edb1242d24a791d0c5d778ff643

[ "MIT" ]

7

2017-03-28T18:12:22.000Z

2021-06-16T09:32:59.000Z

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56dac085576643fac64d1abfca3b7fade3bb0fb0

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py

Python

arbory/subcommands/__init__.py

n8jhj/arbory

702917acecace85eb4a1597dd86c553148db1432

[ "BSD-2-Clause" ]

null

arbory/subcommands/__init__.py

n8jhj/arbory

702917acecace85eb4a1597dd86c553148db1432

[ "BSD-2-Clause" ]

null

arbory/subcommands/__init__.py

n8jhj/arbory

702917acecace85eb4a1597dd86c553148db1432

[ "BSD-2-Clause" ]

null

from .config import config from .tree import tree

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56f77dfab2b19510099200dcfd2b7bf839aee11a

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py

Python

rainbowconnection/sources/__init__.py

zkbt/rainbow-connection

53828fd0b63a552a22a6aa38393cefda27c61b9a

[ "MIT" ]

6

2019-09-04T20:22:02.000Z

2020-12-30T05:00:10.000Z

rainbowconnection/sources/__init__.py

zkbt/rainbow-connection

53828fd0b63a552a22a6aa38393cefda27c61b9a

[ "MIT" ]

8

2019-05-23T18:06:51.000Z

2020-02-13T22:15:07.000Z

rainbowconnection/sources/__init__.py

zkbt/rainbow-connection

53828fd0b63a552a22a6aa38393cefda27c61b9a

[ "MIT" ]

null

from .spectrum import Spectrum from .blank import Blank from .thermal import Thermal from .sun import Sun from .lightbulbs import * # , LED, CFL # from .PHOENIX import Star

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56fcbdb798ac3caf6427669eb040b57eb4eb3d30

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py

Python

graph_pruning/methods/zhenv5/remove_self_loops.py

shan18/taxi

286e2c9a97c1e0b52d63bbb3508045001f449714

[ "Apache-2.0" ]

49

2017-06-26T01:10:48.000Z

2022-03-15T12:15:26.000Z

graph_pruning/methods/zhenv5/remove_self_loops.py

uhh-lt/taxi

0abc016ff854cf3ebeff61be76acf10b7d6a67a7

[ "Apache-2.0" ]

7

2018-06-20T12:33:49.000Z

2018-08-27T09:30:34.000Z

graph_pruning/methods/zhenv5/remove_self_loops.py

shan18/taxi

286e2c9a97c1e0b52d63bbb3508045001f449714

[ "Apache-2.0" ]

20

2017-06-26T01:27:56.000Z

2021-12-24T10:38:09.000Z

import networkx as nx def remove_self_loops_from_graph(g): self_loops = list(g.selfloop_edges()) g.remove_edges_from(self_loops) return self_loops def remove_self_loops_from_edges_file(graph_file): g = nx.read_edgelist(args.original_graph, nodetype = int, create_using = nx.DiGraph()) return remove_self_loops_from_graph(g)

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py

Python

apps/consecutive_create_and_update_operations/consecutive_create_and_update_operations.py

semi-technologies/weaviate-chaos-engineering

57bc0cd919130749ead1ca2f397a3a46aa77c5fd

[ "BSD-3-Clause" ]

null

apps/consecutive_create_and_update_operations/consecutive_create_and_update_operations.py

semi-technologies/weaviate-chaos-engineering

57bc0cd919130749ead1ca2f397a3a46aa77c5fd

[ "BSD-3-Clause" ]

1

2022-03-08T12:03:20.000Z

2022-03-14T10:28:45.000Z

apps/consecutive_create_and_update_operations/consecutive_create_and_update_operations.py

semi-technologies/weaviate-chaos-engineering

57bc0cd919130749ead1ca2f397a3a46aa77c5fd

[ "BSD-3-Clause" ]

null

from weaviate import Client from uuid import uuid1 class TestConsecutiveCreateAndUpdate: client: Client img = "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" img2 = 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aAAgBAQAGPwKpq3CUbbDanVEn7wRci1kMaNxayGNG4tZDGjcTPTe8GKakbNJOPuJaSavnJnwLqPyL0F1H5F6CZ6b3gxDdxn2X7//EABcQAQEBAQAAAAAAAAAAAAAAAAERICH/2gAIAQEAAT8hLs8otSCp2GcWLErbs8qEQWDyu8WJWr//2gAMAwEAAgADAAAAEIABAAJP/8QAFBEBAAAAAAAAAAAAAAAAAAAAMP/aAAgBAwEBPxBP/8QAFBEBAAAAAAAAAAAAAAAAAAAAMP/aAAgBAgEBPxBP/8QAFxABAQEBAAAAAAAAAAAAAAAAAREgMf/aAAgBAQABPxAT69h7QKUBQsqdz06dNin17D2oAKoLLB5vp02bP//Z" def __init__(self, client): self.client = client def batch_callback_result(self, results: dict) -> int: """ Check batch results for errors and return the number of occurred errors. Parameters ---------- results : dict The Weaviate batch creation return value. """ if results is not None: for result in results: if 'result' in result and 'errors' in result['result']: if 'error' in result['result']['errors']: print(f"error: {result['result']['errors']}") raise Exception("Some batch items failed!") def deleteTestClass(self, schemas, cls_name): if self.client.schema.contains(schemas): self.client.schema.delete_class(cls_name) def checkIfObjectsExist(self, uuids): for _id in uuids: # assert self.client.data_object.exists(_id) resp = self.client.data_object.get_by_id(_id, with_vector=True) if resp is None: print(f"ERROR!!! Object with ID: {_id} doesn't exist!!!") raise def consecutive_create_and_update_operations(self): print("Test started") cls_name = 'Test123' schemas = { 'classes': [ { 'class': cls_name, "vectorizer": "none", 'vectorIndexConfig': {'skip': False}, 'properties': [ { 'dataType': ['blob'], 'name': 'a', 'indexInverted': False, } ], }, ] } self.deleteTestClass(schemas, cls_name) uuids = [str(uuid1()) for _ in range(28000)] assert len(list(set(uuids))) == len(uuids), 'uuids contain duplicates' # extend print(f"Create objects in batch of 50 items...") with self.client.batch(batch_size=50, callback=self.batch_callback_result) as batch: for _id in uuids: batch.add_data_object(data_object={'a': self.img}, class_name=cls_name, uuid=_id) self.client.batch.flush() print(f"Update objects with vector started...") x = 1 # embed for _id in uuids: self.client.batch.add_data_object(data_object={'a': self.img2}, class_name=cls_name, uuid=_id, vector=[3,2,1]) if x % 1000 == 0: print(f"updated {x} objects...") x += 1 print("Check if objects exist...") # check self.checkIfObjectsExist(uuids) print(f"Update objects with new vector in batch of 50 items...") x = 1 # update vectors with self.client.batch(batch_size=50, callback=self.batch_callback_result) as batch: for _id in uuids: batch.add_data_object(data_object={'a': self.img}, class_name=cls_name, uuid=_id, vector=[1,2,3]) if x % 1000 == 0: print(f"updated {x} objects...") x += 1 self.client.batch.flush() print("Check if objects exist...") # check self.checkIfObjectsExist(uuids) self.deleteTestClass(schemas, cls_name) print("Test done") c = Client('http://localhost:8080') test = TestConsecutiveCreateAndUpdate(c) test.consecutive_create_and_update_operations()

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0.795569

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89.440367

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0.701767

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null

0

1

0

1

null

1

0

5

713e566b91f55269e724b2a11eda8f515d37d765

415

py

Python

evaluate/coverage_filter.py

iqbal-lab-org/pandora_paper_roc

bb21c76faefa8021c86c3be9d77b8b5999fe2ef5

[ "MIT" ]

null

evaluate/coverage_filter.py

iqbal-lab-org/pandora_paper_roc

bb21c76faefa8021c86c3be9d77b8b5999fe2ef5

[ "MIT" ]

null

evaluate/coverage_filter.py

iqbal-lab-org/pandora_paper_roc

bb21c76faefa8021c86c3be9d77b8b5999fe2ef5

[ "MIT" ]

2

2020-11-04T18:15:43.000Z

2020-11-06T01:38:08.000Z

from evaluate.filter import Filter from .vcf import VCF class CoverageFilter(Filter): def __init__(self, coverage_threshold: float): self._coverage_threshold = coverage_threshold @property def coverage_threshold(self) -> float: return self._coverage_threshold def record_should_be_filtered_out(self, record: VCF) -> bool: return record.coverage < self.coverage_threshold

27.666667

65

0.742169

49

415

5.959184

0.428571

0.349315

0.287671

0

0.187952

415

14

66

29.642857

0.866469

0

1

0.3

false

0

0.2

0.8

0

null

1

0

null

0

1

0

1

0

5

8535410c8ebbea8fb51fba1d44a3fdf3092fb5af

161

py

Python

tests/web_platform/css_flexbox_1/test_flexbox_stf_table_cell.py

jonboland/colosseum

cbf974be54fd7f6fddbe7285704cfaf7a866c5c5

[ "BSD-3-Clause" ]

71

2015-04-13T09:44:14.000Z

2019-03-24T01:03:02.000Z

tests/web_platform/css_flexbox_1/test_flexbox_stf_table_cell.py

jonboland/colosseum

cbf974be54fd7f6fddbe7285704cfaf7a866c5c5

[ "BSD-3-Clause" ]

35

2019-05-06T15:26:09.000Z

2022-03-28T06:30:33.000Z

tests/web_platform/css_flexbox_1/test_flexbox_stf_table_cell.py

jonboland/colosseum

cbf974be54fd7f6fddbe7285704cfaf7a866c5c5

[ "BSD-3-Clause" ]

139

2015-05-30T18:37:43.000Z

2019-03-27T17:14:05.000Z

from tests.utils import W3CTestCase class TestFlexbox_StfTableCell(W3CTestCase): vars().update(W3CTestCase.find_tests(__file__, 'flexbox_stf-table-cell'))

26.833333

77

0.807453

19

161

6.473684

0.842105

0

0.020408

0.086957

161

5

78

32.2

0.816327

0

0.136646

0

1

0

true

0

0.333333

0

0.666667

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null

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1

0

null

0

1

0

1

0

1

0

5

8554e93428cf180870f92bec8ca8595e5c36545c

965

py

Python

servertools/variables/logos.py

sWallyx/server-tools

880f28bb1502cc51064e8e0f3f9c85ea2f1fe2af

[ "MIT" ]

null

servertools/variables/logos.py

sWallyx/server-tools

880f28bb1502cc51064e8e0f3f9c85ea2f1fe2af

[ "MIT" ]

7

2020-03-25T17:15:54.000Z

2021-06-25T15:37:43.000Z

servertools/variables/logos.py

sWallyx/server-tools

880f28bb1502cc51064e8e0f3f9c85ea2f1fe2af

[ "MIT" ]

1

2020-02-02T13:45:54.000Z

""" Variables that contain the logo ASCII text """ SERVER_TOOLS_LOGO = r""" ____ _____ _ / ___| ___ _ ____ _____ _ __ |_ _|__ ___ | |___ \___ \ / _ \ '__\ \ / / _ \ '__| | |/ _ \ / _ \| / __| ___) | __/ | \ V / __/ | | | (_) | (_) | \__ \ |____/ \___|_| \_/ \___|_| |_|\___/ \___/|_|___/ """ SCAN_PORTS_LOGO = r""" ___ ___ __ _ _ __ _ __ ___ _ __| |_ ___ / __|/ __/ _` | '_ \ | '_ \ / _ \| '__| __/ __| \__ \ (_| (_| | | | | | |_) | (_) | | | |_\__ \ |___/\___\__,_|_| |_| | .__/ \___/|_| \__|___/ """ DNS_LOGO = r""" ____ _ _ ____ | _ \| \ | / ___| | | | | \| \___ \ | |_| | |\ |___) | |____/|_| \_|____/ """ HOST_TO_IP_LOGO = r""" _ _ _ _____ ___ ____ | | | | ___ ___| |_ |_ _|__ |_ _| _ \ | |_| |/ _ \/ __| __| | |/ _ \ | || |_) | | _ | (_) \__ \ |_ | | (_) | | || __/ |_| |_|\___/|___/\__| |_|\___/ |___|_| """

28.382353

56

0.359585

24

965

3.666667

0.708333

0.227273

0

0.378238

965

33

57

29.242424

0.146667

0.043523

0

0.222222

0

0.333333

0.886339

0

1

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false

0

1

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null

1

0

1

0

1

0

null

0

5

85ad9c028dfaf818420fafd7aefd545015dfdd94

70

py

Python

src/hello_world.py

jlanga/snakehooks

7ae3ece602a1470fba53e63a3695e35c5f62247d

[ "MIT" ]

1

2020-02-10T23:14:36.000Z

src/hello_world.py

jlanga/snakehooks

7ae3ece602a1470fba53e63a3695e35c5f62247d

[ "MIT" ]

null

src/hello_world.py

jlanga/snakehooks

7ae3ece602a1470fba53e63a3695e35c5f62247d

[ "MIT" ]

null

#!/usr/bin/env python3 """ Hello, world! """ print("Hello, World!")

8.75

22

0.585714

9

70

4.555556

0.777778

0.487805

0

0.016667

0.142857

70

7

23

10

0.666667

0.5

0

0.481481

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1

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true

0

1

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null

1

0

1

0

null

0

1

0

1

0

5

a41089c49435a2064c9c78cdd2d52364cce44984

127

py

Python

textHandler/tests.py

surajsjain/social-media-analytics-app

1f310dcf2f79c9f80edee80dd59d8c63f827f04a

[ "MIT" ]

null

textHandler/tests.py

surajsjain/social-media-analytics-app

1f310dcf2f79c9f80edee80dd59d8c63f827f04a

[ "MIT" ]

8

2020-06-05T20:49:10.000Z

2022-02-10T00:37:59.000Z

textHandler/tests.py

surajsjain/social-media-analytics-app

1f310dcf2f79c9f80edee80dd59d8c63f827f04a

[ "MIT" ]

3

2020-01-26T10:48:25.000Z

2020-08-25T17:47:54.000Z

version https://git-lfs.github.com/spec/v1 oid sha256:9ab6c6191360e63c1b4c9b5659aef348a743c9e078be68190917369e4e9563e8 size 60

31.75

75

0.88189

13

127

8.615385

1

0

0.421488

0.047244

127

3

76

42.333333

0.504132

0

1

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null

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null

0

1

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null

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1

0

1

0

null

1

0

1

0

5

a4368f5ea4098d66e119f2d225e904c8c5edfc95

26

py

Python

sub/project6/package6/package/module.py

oshinko/py-pkgs

332030ee35453441a1e870176954367798b206d8

[ "MIT" ]

null

sub/project6/package6/package/module.py

oshinko/py-pkgs

332030ee35453441a1e870176954367798b206d8

[ "MIT" ]

null

sub/project6/package6/package/module.py

oshinko/py-pkgs

332030ee35453441a1e870176954367798b206d8

[ "MIT" ]

null

print(__file__, 'Hello!')

13

25

0.692308

3

26

4.666667

1

0

0.076923

26

1

26

0.583333

0

0.230769

0

1

0

true

0

1

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null

0

1

0

null

0

1

0

1

0

5

a43726d4f10b72e38bf5d56c3f12c1aa7e2214e2

140

py

Python

python_target/FoxySheep/Utils/__init__.py

rljacobson/FoxySheep

78451ba9f868d21f20f23ee880649f20669e7644

[ "BSD-2-Clause" ]

41

2016-02-08T12:35:11.000Z

2021-11-17T11:45:47.000Z

python_target/FoxySheep/Utils/__init__.py

rljacobson/FoxySheep

78451ba9f868d21f20f23ee880649f20669e7644

[ "BSD-2-Clause" ]

4

2020-09-09T20:43:34.000Z

2021-01-21T22:32:26.000Z

python_target/FoxySheep/Utils/__init__.py

rljacobson/FoxySheep

78451ba9f868d21f20f23ee880649f20669e7644

[ "BSD-2-Clause" ]

4

2017-08-20T01:04:10.000Z

2021-08-07T19:51:52.000Z

from .WolframLanguageData import find_symbol # Mathematica's members are all module level, so no need to import then. # import .Mathematica

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a485788eeecfff354b48a006a86e1d854357d0c9

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py

Python

aerosandbox/weights/__init__.py

raihaan123/AeroSandbox

1e7c78f04b066415f671237a4833ba98901bb9ec

[ "MIT" ]

1

2021-11-01T22:48:12.000Z

aerosandbox/weights/__init__.py

raihaan123/AeroSandbox

1e7c78f04b066415f671237a4833ba98901bb9ec

[ "MIT" ]

null

aerosandbox/weights/__init__.py

raihaan123/AeroSandbox

1e7c78f04b066415f671237a4833ba98901bb9ec

[ "MIT" ]

null

from aerosandbox.weights.mass_properties import *

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0

5

a485dec593e36886639d25ea0cb31bfa15127541

93

py

Python

__name__ == '__main__'/test_import_new.py

kyaiooiayk/Python-Programming

b70dde24901cd24b38e2ead7c9a1b2d1808fc4b0

[ "OLDAP-2.3" ]

null

__name__ == '__main__'/test_import_new.py

kyaiooiayk/Python-Programming

b70dde24901cd24b38e2ead7c9a1b2d1808fc4b0

[ "OLDAP-2.3" ]

null

__name__ == '__main__'/test_import_new.py

kyaiooiayk/Python-Programming

b70dde24901cd24b38e2ead7c9a1b2d1808fc4b0

[ "OLDAP-2.3" ]

null

import important_new print("Called from test_import_new.py, __name__ has value?:", __name__)

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1

0

1

0

1

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5

f117604d765d64de174902fb0fbc7bb4e32707ff

129

py

Python

test/generate_x.py

ksemianov/torch2caffe

1a4e622f0ddb1212dbfc0ffca91ed0ad1a0a0545

[ "MIT" ]

null

test/generate_x.py

ksemianov/torch2caffe

1a4e622f0ddb1212dbfc0ffca91ed0ad1a0a0545

[ "MIT" ]

null

test/generate_x.py

ksemianov/torch2caffe

1a4e622f0ddb1212dbfc0ffca91ed0ad1a0a0545

[ "MIT" ]

null

import sys import numpy as np assert len(sys.argv) == 6 x = np.random.randn(*map(int, sys.argv[1:-1])) np.save(sys.argv[-1], x)

18.428571

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0.658915

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0.035714

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1

0

null

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5

f18793cae2b85ec27dc63fa7682a9e35d2982e31

102

py

Python

test/test_parse.py

aagnone3/edit-learn

1e033e3e358510f5400f1c7cc5687cafdcef1a00

[ "Apache-2.0" ]

null

test/test_parse.py

aagnone3/edit-learn

1e033e3e358510f5400f1c7cc5687cafdcef1a00

[ "Apache-2.0" ]

2

2018-06-17T21:16:37.000Z

2018-06-17T23:38:31.000Z

test/test_parse.py

aagnone3/edit-learn

1e033e3e358510f5400f1c7cc5687cafdcef1a00

[ "Apache-2.0" ]

null

import numpy import ielearn from ielearn import extract, predict, util def test_123(): assert True

12.75

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102

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5

f18f9e7f23115fa084cf6bfe20683d0f105bb79e

116

py

Python

src/bgpfu/io.py

bgpfu/bgpfu

6dcb236914d49ab8fb595d8a6d300f36ecf1e152

[ "Apache-2.0" ]

12

2017-08-18T14:39:43.000Z

2021-11-21T16:50:45.000Z

src/bgpfu/io.py

bgpfu/bgpfu

6dcb236914d49ab8fb595d8a6d300f36ecf1e152

[ "Apache-2.0" ]

17

2017-04-03T22:51:30.000Z

2021-06-17T12:48:58.000Z

src/bgpfu/io.py

bgpfu/bgpfu

6dcb236914d49ab8fb595d8a6d300f36ecf1e152

[ "Apache-2.0" ]

2

2017-04-04T18:25:22.000Z

2019-07-29T08:36:38.000Z

# import to namespace from gevent import select, socket # noqa from gevent.queue import Empty, Full, Queue # noqa

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null

0

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5

74aed0a79651f3031398772075cf7ed206fd3979

1,752

py

Python

hypersand/plot.py

deverte/HyperSand

8e1fa4db68689ec9fe108ecc4759a221122a9a80

[ "MIT" ]

1

2020-01-31T15:55:01.000Z

hypersand/plot.py

deverte/HyperSand

8e1fa4db68689ec9fe108ecc4759a221122a9a80

[ "MIT" ]

null

hypersand/plot.py

deverte/HyperSand

8e1fa4db68689ec9fe108ecc4759a221122a9a80

[ "MIT" ]

1

2020-06-24T23:59:54.000Z

import matplotlib import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D """ Вывод графиков. """ def plt2d(data, types): """ Строит двумерный график из произвольного количества таблиц. Параметры: data - список из таблиц данных типа pandas.DataFrame. Таблицы должны иметь два столбца - ось X и ось Y. Тип - list. types - список из типов графиков. Значения: "plot" - график из точек, соединенных прямой, "scatter" - график из точек. """ # Определяем оси, на которых будем строить графики ax = plt.figure().gca() # Строим графики в зависимости от типа for i in range(len(types)): element = data[i] keys = element.keys() if types[i] == "plot": ax.plot(element[keys[0]], element[keys[1]]) if types[i] == "scatter": ax.scatter(element[keys[0]], element[keys[1]]) plt.show() def plt3d(data, types): """ Строит трехмерный график из произвольного количества таблиц. Параметры: data - список из таблиц данных типа pandas.DataFrame. Таблицы должны иметь три столбца - ось X, ось Y и ось Z. Тип - list. types - список из типов графиков. Значения: "plot" - график из точек, соединенных прямой, "scatter" - график из точек. """ # Определяем оси, на которых будем строить графики ax = plt.figure().gca(projection='3d') # Строим графики в зависимости от типа for i in range(len(types)): element = data[i] keys = element.keys() if types[i] == "plot": ax.plot(element[keys[0]], element[keys[1]], element[keys[2]]) if types[i] == "scatter": ax.scatter(element[keys[0]], element[keys[1]], element[keys[2]]) plt.show()

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null

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1

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0

5

74d30db42e4e43fd40ce31aa9b1b2da29831eebb

29,244

py

Python

setup.py

Viech/cynetworkx

01a37859c67b752392e9e783c949084964eef2cf

[ "BSD-3-Clause" ]

12

2019-07-23T08:07:53.000Z

2022-03-09T06:13:16.000Z

setup.py

Viech/cynetworkx

01a37859c67b752392e9e783c949084964eef2cf

[ "BSD-3-Clause" ]

7

2019-08-30T07:00:00.000Z

2021-12-30T08:02:56.000Z

setup.py

Viech/cynetworkx

01a37859c67b752392e9e783c949084964eef2cf

[ "BSD-3-Clause" ]

5

2020-10-10T03:40:32.000Z

2021-11-23T12:28:53.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- """ Setup script for cynetworkx You can install cynetworkx with python setup.py install """ from glob import glob import os import sys if os.path.exists('MANIFEST'): os.remove('MANIFEST') from setuptools import setup from setuptools.extension import Extension from Cython.Build import cythonize if sys.argv[-1] == 'setup.py': print("To install, run 'python setup.py install'") print() if sys.version_info[:2] < (2, 7): print("NetworkX requires Python 2.7 or later (%d.%d detected)." % sys.version_info[:2]) sys.exit(-1) # Write the version information. sys.path.insert(0, 'cynetworkx') import cynetworkx.release as release version = release.write_versionfile() sys.path.pop(0) extensions = [ Extension("cynetworkx.algorithms.approximation.__init__", ["cynetworkx/algorithms/approximation/__init__.py"]), Extension("cynetworkx.algorithms.approximation.clique", ["cynetworkx/algorithms/approximation/clique.py"]), Extension("cynetworkx.algorithms.approximation.clustering_coefficient", ["cynetworkx/algorithms/approximation/clustering_coefficient.py"]), Extension("cynetworkx.algorithms.approximation.connectivity", ["cynetworkx/algorithms/approximation/connectivity.py"]), Extension("cynetworkx.algorithms.approximation.dominating_set", ["cynetworkx/algorithms/approximation/dominating_set.py"]), Extension("cynetworkx.algorithms.approximation.independent_set", ["cynetworkx/algorithms/approximation/independent_set.py"]), Extension("cynetworkx.algorithms.approximation.kcomponents", ["cynetworkx/algorithms/approximation/kcomponents.py"]), Extension("cynetworkx.algorithms.approximation.matching", ["cynetworkx/algorithms/approximation/matching.py"]), Extension("cynetworkx.algorithms.approximation.ramsey", ["cynetworkx/algorithms/approximation/ramsey.py"]), Extension("cynetworkx.algorithms.approximation.steinertree", ["cynetworkx/algorithms/approximation/steinertree.py"]), Extension("cynetworkx.algorithms.approximation.vertex_cover", ["cynetworkx/algorithms/approximation/vertex_cover.py"]), Extension("cynetworkx.algorithms.assortativity.__init__", ["cynetworkx/algorithms/assortativity/__init__.py"]), Extension("cynetworkx.algorithms.assortativity.connectivity", ["cynetworkx/algorithms/assortativity/connectivity.py"]), Extension("cynetworkx.algorithms.assortativity.correlation", ["cynetworkx/algorithms/assortativity/correlation.py"]), Extension("cynetworkx.algorithms.assortativity.mixing", ["cynetworkx/algorithms/assortativity/mixing.py"]), Extension("cynetworkx.algorithms.assortativity.neighbor_degree", ["cynetworkx/algorithms/assortativity/neighbor_degree.py"]), Extension("cynetworkx.algorithms.assortativity.pairs", ["cynetworkx/algorithms/assortativity/pairs.py"]), Extension("cynetworkx.algorithms.bipartite.__init__", ["cynetworkx/algorithms/bipartite/__init__.py"]), Extension("cynetworkx.algorithms.bipartite.basic", ["cynetworkx/algorithms/bipartite/basic.py"]), Extension("cynetworkx.algorithms.bipartite.centrality", ["cynetworkx/algorithms/bipartite/centrality.py"]), Extension("cynetworkx.algorithms.bipartite.cluster", ["cynetworkx/algorithms/bipartite/cluster.py"]), Extension("cynetworkx.algorithms.bipartite.covering", ["cynetworkx/algorithms/bipartite/covering.py"]), Extension("cynetworkx.algorithms.bipartite.edgelist", ["cynetworkx/algorithms/bipartite/edgelist.py"]), Extension("cynetworkx.algorithms.bipartite.generators", ["cynetworkx/algorithms/bipartite/generators.py"]), Extension("cynetworkx.algorithms.bipartite.matching", ["cynetworkx/algorithms/bipartite/matching.py"]), Extension("cynetworkx.algorithms.bipartite.matrix", ["cynetworkx/algorithms/bipartite/matrix.py"]), Extension("cynetworkx.algorithms.bipartite.projection", ["cynetworkx/algorithms/bipartite/projection.py"]), Extension("cynetworkx.algorithms.bipartite.redundancy", ["cynetworkx/algorithms/bipartite/redundancy.py"]), Extension("cynetworkx.algorithms.bipartite.spectral", ["cynetworkx/algorithms/bipartite/spectral.py"]), Extension("cynetworkx.algorithms.centrality.__init__", ["cynetworkx/algorithms/centrality/__init__.py"]), Extension("cynetworkx.algorithms.centrality.betweenness", ["cynetworkx/algorithms/centrality/betweenness.py"]), Extension("cynetworkx.algorithms.centrality.betweenness_subset", ["cynetworkx/algorithms/centrality/betweenness_subset.py"]), Extension("cynetworkx.algorithms.centrality.closeness", ["cynetworkx/algorithms/centrality/closeness.py"]), Extension("cynetworkx.algorithms.centrality.current_flow_betweenness", ["cynetworkx/algorithms/centrality/current_flow_betweenness.py"]), Extension("cynetworkx.algorithms.centrality.current_flow_betweenness_subset", ["cynetworkx/algorithms/centrality/current_flow_betweenness_subset.py"]), Extension("cynetworkx.algorithms.centrality.current_flow_closeness", ["cynetworkx/algorithms/centrality/current_flow_closeness.py"]), Extension("cynetworkx.algorithms.centrality.degree_alg", ["cynetworkx/algorithms/centrality/degree_alg.py"]), Extension("cynetworkx.algorithms.centrality.dispersion", ["cynetworkx/algorithms/centrality/dispersion.py"]), Extension("cynetworkx.algorithms.centrality.eigenvector", ["cynetworkx/algorithms/centrality/eigenvector.py"]), Extension("cynetworkx.algorithms.centrality.flow_matrix", ["cynetworkx/algorithms/centrality/flow_matrix.py"]), Extension("cynetworkx.algorithms.centrality.harmonic", ["cynetworkx/algorithms/centrality/harmonic.py"]), Extension("cynetworkx.algorithms.centrality.katz", ["cynetworkx/algorithms/centrality/katz.py"]), Extension("cynetworkx.algorithms.centrality.load", ["cynetworkx/algorithms/centrality/load.py"]), Extension("cynetworkx.algorithms.centrality.reaching", ["cynetworkx/algorithms/centrality/reaching.py"]), Extension("cynetworkx.algorithms.centrality.subgraph_alg", ["cynetworkx/algorithms/centrality/subgraph_alg.py"]), Extension("cynetworkx.algorithms.coloring.__init__", ["cynetworkx/algorithms/coloring/__init__.py"]), Extension("cynetworkx.algorithms.coloring.greedy_coloring", ["cynetworkx/algorithms/coloring/greedy_coloring.py"]), Extension("cynetworkx.algorithms.coloring.greedy_coloring_with_interchange", ["cynetworkx/algorithms/coloring/greedy_coloring_with_interchange.py"]), Extension("cynetworkx.algorithms.community.__init__", ["cynetworkx/algorithms/community/__init__.py"]), Extension("cynetworkx.algorithms.community.asyn_fluidc", ["cynetworkx/algorithms/community/asyn_fluidc.py"]), Extension("cynetworkx.algorithms.community.centrality", ["cynetworkx/algorithms/community/centrality.py"]), Extension("cynetworkx.algorithms.community.community_generators", ["cynetworkx/algorithms/community/community_generators.py"]), Extension("cynetworkx.algorithms.community.community_utils", ["cynetworkx/algorithms/community/community_utils.py"]), Extension("cynetworkx.algorithms.community.kclique", ["cynetworkx/algorithms/community/kclique.py"]), Extension("cynetworkx.algorithms.community.kernighan_lin", ["cynetworkx/algorithms/community/kernighan_lin.py"]), Extension("cynetworkx.algorithms.community.label_propagation", ["cynetworkx/algorithms/community/label_propagation.py"]), Extension("cynetworkx.algorithms.community.quality", ["cynetworkx/algorithms/community/quality.py"]), Extension("cynetworkx.algorithms.components.__init__", ["cynetworkx/algorithms/components/__init__.py"]), Extension("cynetworkx.algorithms.components.attracting", ["cynetworkx/algorithms/components/attracting.py"]), Extension("cynetworkx.algorithms.components.biconnected", ["cynetworkx/algorithms/components/biconnected.py"]), Extension("cynetworkx.algorithms.components.connected", ["cynetworkx/algorithms/components/connected.py"]), Extension("cynetworkx.algorithms.components.semiconnected", ["cynetworkx/algorithms/components/semiconnected.py"]), Extension("cynetworkx.algorithms.components.strongly_connected", ["cynetworkx/algorithms/components/strongly_connected.py"]), Extension("cynetworkx.algorithms.components.weakly_connected", ["cynetworkx/algorithms/components/weakly_connected.py"]), Extension("cynetworkx.algorithms.connectivity.__init__", ["cynetworkx/algorithms/connectivity/__init__.py"]), Extension("cynetworkx.algorithms.connectivity.connectivity", ["cynetworkx/algorithms/connectivity/connectivity.py"]), Extension("cynetworkx.algorithms.connectivity.cuts", ["cynetworkx/algorithms/connectivity/cuts.py"]), Extension("cynetworkx.algorithms.connectivity.disjoint_paths", ["cynetworkx/algorithms/connectivity/disjoint_paths.py"]), Extension("cynetworkx.algorithms.connectivity.edge_augmentation", ["cynetworkx/algorithms/connectivity/edge_augmentation.py"]), Extension("cynetworkx.algorithms.connectivity.edge_kcomponents", ["cynetworkx/algorithms/connectivity/edge_kcomponents.py"]), Extension("cynetworkx.algorithms.connectivity.kcomponents", ["cynetworkx/algorithms/connectivity/kcomponents.py"]), Extension("cynetworkx.algorithms.connectivity.kcutsets", ["cynetworkx/algorithms/connectivity/kcutsets.py"]), Extension("cynetworkx.algorithms.connectivity.stoerwagner", ["cynetworkx/algorithms/connectivity/stoerwagner.py"]), Extension("cynetworkx.algorithms.connectivity.utils", ["cynetworkx/algorithms/connectivity/utils.py"]), Extension("cynetworkx.algorithms.flow.__init__", ["cynetworkx/algorithms/flow/__init__.py"]), Extension("cynetworkx.algorithms.flow.boykovkolmogorov", ["cynetworkx/algorithms/flow/boykovkolmogorov.py"]), Extension("cynetworkx.algorithms.flow.capacityscaling", ["cynetworkx/algorithms/flow/capacityscaling.py"]), Extension("cynetworkx.algorithms.flow.dinitz_alg", ["cynetworkx/algorithms/flow/dinitz_alg.py"]), Extension("cynetworkx.algorithms.flow.edmondskarp", ["cynetworkx/algorithms/flow/edmondskarp.py"]), Extension("cynetworkx.algorithms.flow.gomory_hu", ["cynetworkx/algorithms/flow/gomory_hu.py"]), Extension("cynetworkx.algorithms.flow.maxflow", ["cynetworkx/algorithms/flow/maxflow.py"]), Extension("cynetworkx.algorithms.flow.mincost", ["cynetworkx/algorithms/flow/mincost.py"]), Extension("cynetworkx.algorithms.flow.networksimplex", ["cynetworkx/algorithms/flow/networksimplex.py"]), Extension("cynetworkx.algorithms.flow.preflowpush", ["cynetworkx/algorithms/flow/preflowpush.py"]), Extension("cynetworkx.algorithms.flow.shortestaugmentingpath", ["cynetworkx/algorithms/flow/shortestaugmentingpath.py"]), Extension("cynetworkx.algorithms.flow.utils", ["cynetworkx/algorithms/flow/utils.py"]), Extension("cynetworkx.algorithms.isomorphism.__init__", ["cynetworkx/algorithms/isomorphism/__init__.py"]), Extension("cynetworkx.algorithms.isomorphism.isomorph", ["cynetworkx/algorithms/isomorphism/isomorph.py"]), Extension("cynetworkx.algorithms.isomorphism.isomorphvf2", ["cynetworkx/algorithms/isomorphism/isomorphvf2.py"]), Extension("cynetworkx.algorithms.isomorphism.matchhelpers", ["cynetworkx/algorithms/isomorphism/matchhelpers.py"]), Extension("cynetworkx.algorithms.isomorphism.temporalisomorphvf2", ["cynetworkx/algorithms/isomorphism/temporalisomorphvf2.py"]), Extension("cynetworkx.algorithms.isomorphism.vf2userfunc", ["cynetworkx/algorithms/isomorphism/vf2userfunc.py"]), Extension("cynetworkx.algorithms.link_analysis.__init__", ["cynetworkx/algorithms/link_analysis/__init__.py"]), Extension("cynetworkx.algorithms.link_analysis.hits_alg", ["cynetworkx/algorithms/link_analysis/hits_alg.py"]), Extension("cynetworkx.algorithms.link_analysis.pagerank_alg", ["cynetworkx/algorithms/link_analysis/pagerank_alg.py"]), Extension("cynetworkx.algorithms.operators.__init__", ["cynetworkx/algorithms/operators/__init__.py"]), Extension("cynetworkx.algorithms.operators.all", ["cynetworkx/algorithms/operators/all.py"]), Extension("cynetworkx.algorithms.operators.binary", ["cynetworkx/algorithms/operators/binary.py"]), Extension("cynetworkx.algorithms.operators.product", ["cynetworkx/algorithms/operators/product.py"]), Extension("cynetworkx.algorithms.operators.unary", ["cynetworkx/algorithms/operators/unary.py"]), Extension("cynetworkx.algorithms.shortest_paths.__init__", ["cynetworkx/algorithms/shortest_paths/__init__.py"]), Extension("cynetworkx.algorithms.shortest_paths.astar", ["cynetworkx/algorithms/shortest_paths/astar.py"]), Extension("cynetworkx.algorithms.shortest_paths.dense", ["cynetworkx/algorithms/shortest_paths/dense.py"]), Extension("cynetworkx.algorithms.shortest_paths.generic", ["cynetworkx/algorithms/shortest_paths/generic.py"]), Extension("cynetworkx.algorithms.shortest_paths.unweighted", ["cynetworkx/algorithms/shortest_paths/unweighted.py"]), Extension("cynetworkx.algorithms.shortest_paths.weighted", ["cynetworkx/algorithms/shortest_paths/weighted.py"]), Extension("cynetworkx.algorithms.traversal.__init__", ["cynetworkx/algorithms/traversal/__init__.py"]), Extension("cynetworkx.algorithms.traversal.beamsearch", ["cynetworkx/algorithms/traversal/beamsearch.py"]), Extension("cynetworkx.algorithms.traversal.breadth_first_search", ["cynetworkx/algorithms/traversal/breadth_first_search.py"]), Extension("cynetworkx.algorithms.traversal.depth_first_search", ["cynetworkx/algorithms/traversal/depth_first_search.py"]), Extension("cynetworkx.algorithms.traversal.edgedfs", ["cynetworkx/algorithms/traversal/edgedfs.py"]), Extension("cynetworkx.algorithms.tree.__init__", ["cynetworkx/algorithms/tree/__init__.py"]), Extension("cynetworkx.algorithms.tree.branchings", ["cynetworkx/algorithms/tree/branchings.py"]), Extension("cynetworkx.algorithms.tree.coding", ["cynetworkx/algorithms/tree/coding.py"]), Extension("cynetworkx.algorithms.tree.mst", ["cynetworkx/algorithms/tree/mst.py"]), Extension("cynetworkx.algorithms.tree.operations", ["cynetworkx/algorithms/tree/operations.py"]), Extension("cynetworkx.algorithms.tree.recognition", ["cynetworkx/algorithms/tree/recognition.py"]), Extension("cynetworkx.algorithms.__init__", ["cynetworkx/algorithms/__init__.py"]), Extension("cynetworkx.algorithms.boundary", ["cynetworkx/algorithms/boundary.py"]), Extension("cynetworkx.algorithms.bridges", ["cynetworkx/algorithms/bridges.py"]), Extension("cynetworkx.algorithms.chains", ["cynetworkx/algorithms/chains.py"]), Extension("cynetworkx.algorithms.chordal", ["cynetworkx/algorithms/chordal.py"]), Extension("cynetworkx.algorithms.clique", ["cynetworkx/algorithms/clique.py"]), Extension("cynetworkx.algorithms.cluster", ["cynetworkx/algorithms/cluster.py"]), Extension("cynetworkx.algorithms.communicability_alg", ["cynetworkx/algorithms/communicability_alg.py"]), Extension("cynetworkx.algorithms.core", ["cynetworkx/algorithms/core.py"]), Extension("cynetworkx.algorithms.covering", ["cynetworkx/algorithms/covering.py"]), Extension("cynetworkx.algorithms.cuts", ["cynetworkx/algorithms/cuts.py"]), Extension("cynetworkx.algorithms.cycles", ["cynetworkx/algorithms/cycles.py"]), Extension("cynetworkx.algorithms.dag", ["cynetworkx/algorithms/dag.py"]), Extension("cynetworkx.algorithms.distance_measures", ["cynetworkx/algorithms/distance_measures.py"]), Extension("cynetworkx.algorithms.distance_regular", ["cynetworkx/algorithms/distance_regular.py"]), Extension("cynetworkx.algorithms.dominance", ["cynetworkx/algorithms/dominance.py"]), Extension("cynetworkx.algorithms.domninating", ["cynetworkx/algorithms/dominating.py"]), Extension("cynetworkx.algorithms.efficiency", ["cynetworkx/algorithms/efficiency.py"]), Extension("cynetworkx.algorithms.euler", ["cynetworkx/algorithms/euler.py"]), Extension("cynetworkx.algorithms.graphical", ["cynetworkx/algorithms/graphical.py"]), Extension("cynetworkx.algorithms.hierarchy", ["cynetworkx/algorithms/hierarchy.py"]), Extension("cynetworkx.algorithms.hybrid", ["cynetworkx/algorithms/hybrid.py"]), Extension("cynetworkx.algorithms.isolate", ["cynetworkx/algorithms/isolate.py"]), Extension("cynetworkx.algorithms.link_prediction", ["cynetworkx/algorithms/link_prediction.py"]), Extension("cynetworkx.algorithms.lowest_common_ancestors", ["cynetworkx/algorithms/lowest_common_ancestors.py"]), Extension("cynetworkx.algorithms.matching", ["cynetworkx/algorithms/matching.py"]), Extension("cynetworkx.algorithms.minors", ["cynetworkx/algorithms/minors.py"]), Extension("cynetworkx.algorithms.mis", ["cynetworkx/algorithms/mis.py"]), Extension("cynetworkx.algorithms.reciprocity", ["cynetworkx/algorithms/reciprocity.py"]), Extension("cynetworkx.algorithms.richclub", ["cynetworkx/algorithms/richclub.py"]), Extension("cynetworkx.algorithms.similarity", ["cynetworkx/algorithms/similarity.py"]), Extension("cynetworkx.algorithms.simple_paths", ["cynetworkx/algorithms/simple_paths.py"]), Extension("cynetworkx.algorithms.smetric", ["cynetworkx/algorithms/smetric.py"]), Extension("cynetworkx.algorithms.structuralholes", ["cynetworkx/algorithms/structuralholes.py"]), Extension("cynetworkx.algorithms.swap", ["cynetworkx/algorithms/swap.py"]), Extension("cynetworkx.algorithms.threshold", ["cynetworkx/algorithms/threshold.py"]), Extension("cynetworkx.algorithms.tournament", ["cynetworkx/algorithms/tournament.py"]), Extension("cynetworkx.algorithms.triads", ["cynetworkx/algorithms/triads.py"]), Extension("cynetworkx.algorithms.vitality", ["cynetworkx/algorithms/vitality.py"]), Extension("cynetworkx.algorithms.voronoi", ["cynetworkx/algorithms/voronoi.py"]), Extension("cynetworkx.algorithms.weiner", ["cynetworkx/algorithms/wiener.py"]), Extension("cynetworkx.classes.__init__", ["cynetworkx/classes/__init__.py"]), Extension("cynetworkx.classes.coreviews", ["cynetworkx/classes/coreviews.py"]), Extension("cynetworkx.classes.digraph", ["cynetworkx/classes/digraph.py"]), Extension("cynetworkx.classes.filters", ["cynetworkx/classes/filters.py"]), Extension("cynetworkx.classes.function", ["cynetworkx/classes/function.py"]), Extension("cynetworkx.classes.graph", ["cynetworkx/classes/graph.py"]), Extension("cynetworkx.classes.graphviews", ["cynetworkx/classes/graphviews.py"]), Extension("cynetworkx.classes.multidigraph", ["cynetworkx/classes/multidigraph.py"]), Extension("cynetworkx.classes.multigraph", ["cynetworkx/classes/multigraph.py"]), Extension("cynetworkx.classes.ordered", ["cynetworkx/classes/ordered.py"]), Extension("cynetworkx.classes.reportviews", ["cynetworkx/classes/reportviews.py"]), Extension("cynetworkx.utils.__init__", ["cynetworkx/utils/__init__.py"]), Extension("cynetworkx.utils.contextmanagers", ["cynetworkx/utils/contextmanagers.py"]), Extension("cynetworkx.utils.decorators", ["cynetworkx/utils/decorators.py"]), Extension("cynetworkx.utils.heaps", ["cynetworkx/utils/heaps.py"]), Extension("cynetworkx.utils.misc", ["cynetworkx/utils/misc.py"]), Extension("cynetworkx.utils.random_sequence", ["cynetworkx/utils/random_sequence.py"]), Extension("cynetworkx.utils.rcm", ["cynetworkx/utils/rcm.py"]), Extension("cynetworkx.utils.union_find", ["cynetworkx/utils/union_find.py"]), Extension("cynetworkx.drawing.__init__", ["cynetworkx/drawing/__init__.py"]), Extension("cynetworkx.drawing.layout", ["cynetworkx/drawing/layout.py"]), Extension("cynetworkx.drawing.nx_agraph", ["cynetworkx/drawing/nx_agraph.py"]), Extension("cynetworkx.drawing.nx_pydot", ["cynetworkx/drawing/nx_pydot.py"]), Extension("cynetworkx.drawing.nx_pylab", ["cynetworkx/drawing/nx_pylab.py"]), Extension("cynetworkx.generators.__init__", ["cynetworkx/generators/__init__.py"]), Extension("cynetworkx.generators.atlas", ["cynetworkx/generators/atlas.py"]), Extension("cynetworkx.generators.classic", ["cynetworkx/generators/classic.py"]), Extension("cynetworkx.generators.community", ["cynetworkx/generators/community.py"]), Extension("cynetworkx.generators.degree_seq", ["cynetworkx/generators/degree_seq.py"]), Extension("cynetworkx.generators.directed", ["cynetworkx/generators/directed.py"]), Extension("cynetworkx.generators.duplication", ["cynetworkx/generators/duplication.py"]), Extension("cynetworkx.generators.ego", ["cynetworkx/generators/ego.py"]), Extension("cynetworkx.generators.expanders", ["cynetworkx/generators/expanders.py"]), Extension("cynetworkx.generators.geometric", ["cynetworkx/generators/geometric.py"]), Extension("cynetworkx.generators.intersection", ["cynetworkx/generators/intersection.py"]), Extension("cynetworkx.generators.joint_degree_seq", ["cynetworkx/generators/joint_degree_seq.py"]), Extension("cynetworkx.generators.lattice", ["cynetworkx/generators/lattice.py"]), Extension("cynetworkx.generators.line", ["cynetworkx/generators/line.py"]), Extension("cynetworkx.generators.mycielski", ["cynetworkx/generators/mycielski.py"]), Extension("cynetworkx.generators.nonisomorphic_trees", ["cynetworkx/generators/nonisomorphic_trees.py"]), Extension("cynetworkx.generators.random_clustered", ["cynetworkx/generators/random_clustered.py"]), Extension("cynetworkx.generators.random_graphs", ["cynetworkx/generators/random_graphs.py"]), Extension("cynetworkx.generators.small", ["cynetworkx/generators/small.py"]), Extension("cynetworkx.generators.social", ["cynetworkx/generators/social.py"]), Extension("cynetworkx.generators.stochastic", ["cynetworkx/generators/stochastic.py"]), Extension("cynetworkx.generators.trees", ["cynetworkx/generators/trees.py"]), Extension("cynetworkx.generators.triads", ["cynetworkx/generators/triads.py"]), Extension("cynetworkx.linalg.__init__", ["cynetworkx/linalg/__init__.py"]), Extension("cynetworkx.linalg.algebraicconnectivity", ["cynetworkx/linalg/algebraicconnectivity.py"]), Extension("cynetworkx.linalg.attrmatrix", ["cynetworkx/linalg/attrmatrix.py"]), Extension("cynetworkx.linalg.graphmatrix", ["cynetworkx/linalg/graphmatrix.py"]), Extension("cynetworkx.linalg.laplacianmatrix", ["cynetworkx/linalg/laplacianmatrix.py"]), Extension("cynetworkx.linalg.modularitymatrix", ["cynetworkx/linalg/modularitymatrix.py"]), Extension("cynetworkx.linalg.spectrum", ["cynetworkx/linalg/spectrum.py"]), Extension("cynetworkx.readwrite.json_graph.__init__", ["cynetworkx/readwrite/json_graph/__init__.py"]), Extension("cynetworkx.readwrite.json_graph.adjacency", ["cynetworkx/readwrite/json_graph/adjacency.py"]), Extension("cynetworkx.readwrite.json_graph.cytoscape", ["cynetworkx/readwrite/json_graph/cytoscape.py"]), Extension("cynetworkx.readwrite.json_graph.jit", ["cynetworkx/readwrite/json_graph/jit.py"]), Extension("cynetworkx.readwrite.json_graph.node_link", ["cynetworkx/readwrite/json_graph/node_link.py"]), Extension("cynetworkx.readwrite.json_graph.tree", ["cynetworkx/readwrite/json_graph/tree.py"]), Extension("cynetworkx.readwrite.__init__", ["cynetworkx/readwrite/__init__.py"]), Extension("cynetworkx.readwrite.adjlist", ["cynetworkx/readwrite/adjlist.py"]), Extension("cynetworkx.readwrite.edgelist", ["cynetworkx/readwrite/edgelist.py"]), Extension("cynetworkx.readwrite.gexf", ["cynetworkx/readwrite/gexf.py"]), Extension("cynetworkx.readwrite.gml", ["cynetworkx/readwrite/gml.py"]), Extension("cynetworkx.readwrite.gpickle", ["cynetworkx/readwrite/gpickle.py"]), Extension("cynetworkx.readwrite.graph6", ["cynetworkx/readwrite/graph6.py"]), Extension("cynetworkx.readwrite.graphml", ["cynetworkx/readwrite/graphml.py"]), Extension("cynetworkx.readwrite.leda", ["cynetworkx/readwrite/leda.py"]), Extension("cynetworkx.readwrite.multiline_adjlist", ["cynetworkx/readwrite/multiline_adjlist.py"]), Extension("cynetworkx.readwrite.nx_shp", ["cynetworkx/readwrite/nx_shp.py"]), Extension("cynetworkx.readwrite.nx_yaml", ["cynetworkx/readwrite/nx_yaml.py"]), Extension("cynetworkx.readwrite.p2g", ["cynetworkx/readwrite/p2g.py"]), Extension("cynetworkx.readwrite.pajek", ["cynetworkx/readwrite/pajek.py"]), Extension("cynetworkx.readwrite.sparse6", ["cynetworkx/readwrite/sparse6.py"]), Extension("cynetworkx.__init__", ["cynetworkx/__init__.py"]), Extension("cynetworkx.convert", ["cynetworkx/convert.py"]), Extension("cynetworkx.convert_matrix", ["cynetworkx/convert_matrix.py"]), Extension("cynetworkx.exception", ["cynetworkx/exception.py"]), Extension("cynetworkx.relabel", ["cynetworkx/relabel.py"]) ] packages = ["cynetworkx", "cynetworkx.algorithms", "cynetworkx.algorithms.assortativity", "cynetworkx.algorithms.bipartite", "cynetworkx.algorithms.node_classification", "cynetworkx.algorithms.centrality", "cynetworkx.algorithms.community", "cynetworkx.algorithms.components", "cynetworkx.algorithms.connectivity", "cynetworkx.algorithms.coloring", "cynetworkx.algorithms.flow", "cynetworkx.algorithms.traversal", "cynetworkx.algorithms.isomorphism", "cynetworkx.algorithms.shortest_paths", "cynetworkx.algorithms.link_analysis", "cynetworkx.algorithms.operators", "cynetworkx.algorithms.approximation", "cynetworkx.algorithms.tree", "cynetworkx.classes", "cynetworkx.generators", "cynetworkx.drawing", "cynetworkx.linalg", "cynetworkx.readwrite", "cynetworkx.readwrite.json_graph", "cynetworkx.tests", "cynetworkx.testing", "cynetworkx.utils"] docdirbase = 'share/doc/cynetworkx-%s' % version # add basic documentation data = [(docdirbase, glob("*.txt"))] # add examples for d in ['.', 'advanced', 'algorithms', 'basic', '3d_drawing', 'drawing', 'graph', 'javascript', 'jit', 'pygraphviz', 'subclass']: dd = os.path.join(docdirbase, 'examples', d) pp = os.path.join('examples', d) data.append((dd, glob(os.path.join(pp, "*.txt")))) data.append((dd, glob(os.path.join(pp, "*.py")))) data.append((dd, glob(os.path.join(pp, "*.bz2")))) data.append((dd, glob(os.path.join(pp, "*.gz")))) data.append((dd, glob(os.path.join(pp, "*.mbox")))) data.append((dd, glob(os.path.join(pp, "*.edgelist")))) # add the tests package_data = { 'cynetworkx': ['tests/*.py'], 'cynetworkx.algorithms': ['tests/*.py'], 'cynetworkx.algorithms.assortativity': ['tests/*.py'], 'cynetworkx.algorithms.bipartite': ['tests/*.py'], 'cynetworkx.algorithms.node_classification': ['tests/*.py'], 'cynetworkx.algorithms.centrality': ['tests/*.py'], 'cynetworkx.algorithms.community': ['tests/*.py'], 'cynetworkx.algorithms.components': ['tests/*.py'], 'cynetworkx.algorithms.connectivity': ['tests/*.py'], 'cynetworkx.algorithms.coloring': ['tests/*.py'], 'cynetworkx.algorithms.flow': ['tests/*.py', 'tests/*.bz2'], 'cynetworkx.algorithms.isomorphism': ['tests/*.py', 'tests/*.*99'], 'cynetworkx.algorithms.link_analysis': ['tests/*.py'], 'cynetworkx.algorithms.approximation': ['tests/*.py'], 'cynetworkx.algorithms.operators': ['tests/*.py'], 'cynetworkx.algorithms.shortest_paths': ['tests/*.py'], 'cynetworkx.algorithms.traversal': ['tests/*.py'], 'cynetworkx.algorithms.tree': ['tests/*.py'], 'cynetworkx.classes': ['tests/*.py'], 'cynetworkx.generators': ['tests/*.py', 'atlas.dat.gz'], 'cynetworkx.drawing': ['tests/*.py'], 'cynetworkx.linalg': ['tests/*.py'], 'cynetworkx.readwrite': ['tests/*.py'], 'cynetworkx.readwrite.json_graph': ['tests/*.py'], 'cynetworkx.testing': ['tests/*.py'], 'cynetworkx.utils': ['tests/*.py'] } install_requires = ['decorator>=4.1.0'] extras_require = {'all': ['numpy', 'scipy', 'pandas', 'matplotlib', 'pygraphviz', 'pydot', 'pyyaml', 'gdal', 'lxml','nose']} if __name__ == "__main__": setup( name=release.name.lower(), version=version, maintainer=release.maintainer, maintainer_email=release.maintainer_email, author=release.authors['Pattern, Inc.'][0], author_email=release.authors['Pattern, Inc.'][1], description=release.description, keywords=release.keywords, long_description=release.long_description, license=release.license, platforms=release.platforms, url=release.url, download_url=release.download_url, classifiers=release.classifiers, packages=packages, data_files=data, package_data=package_data, install_requires=install_requires, extras_require=extras_require, test_suite='nose.collector', tests_require=['nose>=0.10.1'], zip_safe=False, ext_modules=cythonize(extensions) )

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Python

graphene_django/forms/types.py

mebel-akvareli/graphene-django

23008ad22094f3e7b8fb26b73811ce49b20cca25

[ "MIT" ]

4,038

2016-09-18T01:45:22.000Z

2022-03-31T01:06:57.000Z

graphene_django/forms/types.py

mebel-akvareli/graphene-django

23008ad22094f3e7b8fb26b73811ce49b20cca25

[ "MIT" ]

1,104

2016-09-19T20:10:22.000Z

2022-03-30T17:37:46.000Z

graphene_django/forms/types.py

mebel-akvareli/graphene-django

23008ad22094f3e7b8fb26b73811ce49b20cca25

[ "MIT" ]

791

2016-09-18T13:48:11.000Z

2022-03-29T08:32:06.000Z

from ..types import ErrorType # noqa Import ErrorType for backwards compatability

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py

Python

uitestcore/custom_assertion.py

talawson05/ui-test-core

6578398d6cfad97cee552f676a027b8b37755a73

[ "MIT" ]

8

2019-09-16T14:31:38.000Z

2022-02-03T21:26:04.000Z

uitestcore/custom_assertion.py

talawson05/ui-test-core

6578398d6cfad97cee552f676a027b8b37755a73

[ "MIT" ]

12

2019-09-13T14:47:26.000Z

2022-01-10T11:24:52.000Z

uitestcore/custom_assertion.py

talawson05/ui-test-core

6578398d6cfad97cee552f676a027b8b37755a73

[ "MIT" ]

4

2019-09-16T14:49:53.000Z

2022-02-02T15:42:01.000Z

""" Create any custom assertion in here """ from hamcrest import assert_that, is_ def assert_no_failures(failure_description): """ Assert that the string passed is empty representing no failures - to be used in test steps :param failure_description: a string describing failures in a test step, or empty if no failures """ assert_that(failure_description, is_(""), failure_description)

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Python

pyranges/version.py

biocore-ntnu/pyranges

5dd7cda7e42051c4b4a75eb6f8650464fb416f7a

[ "MIT" ]

299

2019-03-22T18:28:01.000Z

2022-03-11T16:14:19.000Z

pyranges/version.py

biocore-ntnu/pyranges

5dd7cda7e42051c4b4a75eb6f8650464fb416f7a

[ "MIT" ]

157

2019-04-06T18:05:27.000Z

2022-03-07T14:50:10.000Z

pyranges/version.py

biocore-ntnu/pyranges

5dd7cda7e42051c4b4a75eb6f8650464fb416f7a

[ "MIT" ]

33

2019-04-12T14:44:53.000Z

2022-03-16T16:58:06.000Z

__version__ = "0.0.111"

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2d24304d5ecf67d3329a74e6bd41bb16295b32dd

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py

Python

vnpy/api/oanda/workers/__init__.py

WongLynn/vnpy_Amerlin-1.1.20

d701d8f12c29cc33f58ea025920b0c7240f74f82

[ "MIT" ]

11

2019-10-28T13:01:48.000Z

2021-06-20T03:38:09.000Z

vnpy/api/oanda/workers/__init__.py

Rayshawn8/vnpy_Amerlin-1.1.20

d701d8f12c29cc33f58ea025920b0c7240f74f82

[ "MIT" ]

null

vnpy/api/oanda/workers/__init__.py

Rayshawn8/vnpy_Amerlin-1.1.20

d701d8f12c29cc33f58ea025920b0c7240f74f82

[ "MIT" ]

6

2019-10-28T13:16:13.000Z

2020-09-08T08:03:41.000Z

from .transaction import * from .tick import * from .order import *

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py

Python

skyportal/handlers/api/internal/__init__.py

jialin-wu-02/skyportal

29d606ad8567b2230fb0553b18dd3cb9d3ab2d84

[ "BSD-3-Clause" ]

null

skyportal/handlers/api/internal/__init__.py

jialin-wu-02/skyportal

29d606ad8567b2230fb0553b18dd3cb9d3ab2d84

[ "BSD-3-Clause" ]

156

2019-10-17T19:35:22.000Z

2021-08-01T13:23:47.000Z

skyportal/handlers/api/internal/__init__.py

jialin-wu-02/skyportal

29d606ad8567b2230fb0553b18dd3cb9d3ab2d84

[ "BSD-3-Clause" ]

null

from .plot import PlotPhotometryHandler, PlotSpectroscopyHandler from .token import TokenHandler from .dbinfo import DBInfoHandler from .profile import ProfileHandler from .source_views import SourceViewsHandler from .instrument_observation_params import InstrumentObservationParamsHandler

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2d3ba84e7f3d9f50d96ba09e4dc3290fe2df32cc

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py

Python

receipts_storage/forms/__init__.py

albinmedoc/receipts_storage

2c3e2a19312d5ca8ec31bf2f0c6315f29d5fd923

[ "MIT" ]

null

receipts_storage/forms/__init__.py

albinmedoc/receipts_storage

2c3e2a19312d5ca8ec31bf2f0c6315f29d5fd923

[ "MIT" ]

null

receipts_storage/forms/__init__.py

albinmedoc/receipts_storage

2c3e2a19312d5ca8ec31bf2f0c6315f29d5fd923

[ "MIT" ]

null

from .product import ProductForm from .receipt import ReceiptForm from .user import LoginForm, RegisterForm, EditUserForm

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741439917b675f387d0d33e33aee90e37fbeb997

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py

Python

Configuration/Geometry/python/GeometrySLHCSimIdeal_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

Configuration/Geometry/python/GeometrySLHCSimIdeal_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

Configuration/Geometry/python/GeometrySLHCSimIdeal_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

import FWCore.ParameterSet.Config as cms # Ideal geometry, needed for simulation from SLHCUpgradeSimulations.Geometry.Phase1_R30F12_cmsSimIdealGeometryXML_cff import * from Geometry.TrackerNumberingBuilder.trackerNumbering2026Geometry_cfi import *

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py

Python

enthought/pyface/message_dialog.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/pyface/message_dialog.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/pyface/message_dialog.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from pyface.message_dialog import *

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13,143

py

Python

old/eval_scripts/evaluation_functions.py

konatasick/face-of-art

e796747d0ef2df2df863adf53e217ff5c86c816b

[ "MIT" ]

220

2019-09-01T01:52:04.000Z

2022-03-28T12:52:07.000Z

old/eval_scripts/evaluation_functions.py

TrueMatthewKirkham/face-of-art

ffa62a579cc8bc389e2088923736c4947a1fad70

[ "MIT" ]

16

2019-10-24T07:55:11.000Z

2022-02-10T01:28:13.000Z

old/eval_scripts/evaluation_functions.py

TrueMatthewKirkham/face-of-art

ffa62a579cc8bc389e2088923736c4947a1fad70

[ "MIT" ]

33

2019-09-23T15:08:50.000Z

2022-02-08T07:54:52.000Z

import tensorflow as tf from menpofit.visualize import plot_cumulative_error_distribution from menpofit.error import compute_cumulative_error from scipy.integrate import simps from menpo_functions import load_menpo_image_list, load_bb_dictionary from logging_functions import * from data_loading_functions import * from time import time import sys from PyQt5 import QtWidgets qapp=QtWidgets.QApplication(['']) def load_menpo_test_list(img_dir, test_data='full', image_size=256, margin=0.25, bb_type='gt'): mode = 'TEST' bb_dir = os.path.join(img_dir, 'Bounding_Boxes') bb_dictionary = load_bb_dictionary(bb_dir, mode, test_data=test_data) img_menpo_list = load_menpo_image_list( img_dir=img_dir, train_crop_dir=None, img_dir_ns=None, mode=mode, bb_dictionary=bb_dictionary, image_size=image_size, margin=margin, bb_type=bb_type, test_data=test_data, augment_basic=False, augment_texture=False, p_texture=0, augment_geom=False, p_geom=0) return img_menpo_list def evaluate_heatmap_fusion_network(model_path, img_path, test_data, batch_size=10, image_size=256, margin=0.25, bb_type='gt', c_dim=3, scale=1, num_landmarks=68, debug=False, debug_data_size=20): t = time() from deep_heatmaps_model_fusion_net import DeepHeatmapsModel import logging logging.getLogger('tensorflow').disabled = True # load test image menpo list test_menpo_img_list = load_menpo_test_list( img_path, test_data=test_data, image_size=image_size, margin=margin, bb_type=bb_type) if debug: test_menpo_img_list = test_menpo_img_list[:debug_data_size] print ('\n*** FUSION NETWORK: calculating normalized mean error on: ' + test_data + ' set (%d images - debug mode) ***' % debug_data_size) else: print ('\n*** FUSION NETWORK: calculating normalized mean error on: ' + test_data + ' set (%d images) ***' % (len(test_menpo_img_list))) # create heatmap model tf.reset_default_graph() model = DeepHeatmapsModel(mode='TEST', batch_size=batch_size, image_size=image_size, c_dim=c_dim, num_landmarks=num_landmarks, img_path=img_path, test_model_path=model_path, test_data=test_data, menpo_verbose=False) # add placeholders model.add_placeholders() # build model model.build_model() # create loss ops model.create_loss_ops() num_batches = int(1. * len(test_menpo_img_list) / batch_size) if num_batches == 0: batch_size = len(test_menpo_img_list) num_batches = 1 reminder = len(test_menpo_img_list) - num_batches * batch_size num_batches_reminder = num_batches + 1 * (reminder > 0) img_inds = np.arange(len(test_menpo_img_list)) with tf.Session() as session: # load trained parameters saver = tf.train.Saver() saver.restore(session, model_path) print ('\nnum batches: ' + str(num_batches_reminder)) err = [] for j in range(num_batches): print ('batch %d / %d ...' % (j + 1, num_batches_reminder)) batch_inds = img_inds[j * batch_size:(j + 1) * batch_size] batch_images, _, batch_landmarks_gt = load_images_landmarks( test_menpo_img_list, batch_inds=batch_inds, image_size=image_size, c_dim=c_dim, num_landmarks=num_landmarks, scale=scale) batch_maps_pred = session.run(model.pred_hm_f, {model.images: batch_images}) batch_pred_landmarks = batch_heat_maps_to_landmarks( batch_maps_pred, batch_size=batch_size, image_size=image_size, num_landmarks=num_landmarks) batch_err = session.run( model.nme_per_image, {model.lms: batch_landmarks_gt, model.pred_lms: batch_pred_landmarks}) err = np.hstack((err, batch_err)) if reminder > 0: print ('batch %d / %d ...' % (j + 2, num_batches_reminder)) reminder_inds = img_inds[-reminder:] batch_images, _, batch_landmarks_gt = load_images_landmarks( test_menpo_img_list, batch_inds=reminder_inds, image_size=image_size, c_dim=c_dim, num_landmarks=num_landmarks, scale=scale) batch_maps_pred = session.run(model.pred_hm_f, {model.images: batch_images}) batch_pred_landmarks = batch_heat_maps_to_landmarks( batch_maps_pred, batch_size=reminder, image_size=image_size, num_landmarks=num_landmarks) batch_err = session.run( model.nme_per_image, {model.lms: batch_landmarks_gt, model.pred_lms: batch_pred_landmarks}) err = np.hstack((err, batch_err)) print ('\ndone!') print ('run time: ' + str(time() - t)) return err def evaluate_heatmap_primary_network(model_path, img_path, test_data, batch_size=10, image_size=256, margin=0.25, bb_type='gt', c_dim=3, scale=1, num_landmarks=68, debug=False, debug_data_size=20): t = time() from deep_heatmaps_model_primary_net import DeepHeatmapsModel import logging logging.getLogger('tensorflow').disabled = True # load test image menpo list test_menpo_img_list = load_menpo_test_list( img_path, test_data=test_data, image_size=image_size, margin=margin, bb_type=bb_type) if debug: test_menpo_img_list = test_menpo_img_list[:debug_data_size] print ('\n*** PRIMARY NETWORK: calculating normalized mean error on: ' + test_data + ' set (%d images - debug mode) ***' % debug_data_size) else: print ('\n*** PRIMARY NETWORK: calculating normalized mean error on: ' + test_data + ' set (%d images) ***' % (len(test_menpo_img_list))) # create heatmap model tf.reset_default_graph() model = DeepHeatmapsModel(mode='TEST', batch_size=batch_size, image_size=image_size, c_dim=c_dim, num_landmarks=num_landmarks, img_path=img_path, test_model_path=model_path, test_data=test_data, menpo_verbose=False) # add placeholders model.add_placeholders() # build model model.build_model() # create loss ops model.create_loss_ops() num_batches = int(1. * len(test_menpo_img_list) / batch_size) if num_batches == 0: batch_size = len(test_menpo_img_list) num_batches = 1 reminder = len(test_menpo_img_list) - num_batches * batch_size num_batches_reminder = num_batches + 1 * (reminder > 0) img_inds = np.arange(len(test_menpo_img_list)) with tf.Session() as session: # load trained parameters saver = tf.train.Saver() saver.restore(session, model_path) print ('\nnum batches: ' + str(num_batches_reminder)) err = [] for j in range(num_batches): print ('batch %d / %d ...' % (j + 1, num_batches_reminder)) batch_inds = img_inds[j * batch_size:(j + 1) * batch_size] batch_images, _, batch_landmarks_gt = load_images_landmarks( test_menpo_img_list, batch_inds=batch_inds, image_size=image_size, c_dim=c_dim, num_landmarks=num_landmarks, scale=scale) batch_maps_small_pred = session.run(model.pred_hm_p, {model.images: batch_images}) batch_maps_small_pred = zoom(batch_maps_small_pred, zoom=[1, 4, 4, 1], order=1) # NN interpolation batch_pred_landmarks = batch_heat_maps_to_landmarks( batch_maps_small_pred, batch_size=batch_size, image_size=image_size, num_landmarks=num_landmarks) batch_err = session.run( model.nme_per_image, {model.lms_small: batch_landmarks_gt, model.pred_lms_small: batch_pred_landmarks}) err = np.hstack((err, batch_err)) if reminder > 0: print ('batch %d / %d ...' % (j + 2, num_batches_reminder)) reminder_inds = img_inds[-reminder:] batch_images, _, batch_landmarks_gt = load_images_landmarks( test_menpo_img_list, batch_inds=reminder_inds, image_size=image_size, c_dim=c_dim, num_landmarks=num_landmarks, scale=scale) batch_maps_small_pred = session.run(model.pred_hm_p, {model.images: batch_images}) batch_maps_small_pred = zoom(batch_maps_small_pred, zoom=[1, 4, 4, 1], order=1) # NN interpolation batch_pred_landmarks = batch_heat_maps_to_landmarks( batch_maps_small_pred, batch_size=reminder, image_size=image_size, num_landmarks=num_landmarks) batch_err = session.run( model.nme_per_image, {model.lms_small: batch_landmarks_gt, model.pred_lms_small: batch_pred_landmarks}) err = np.hstack((err, batch_err)) print ('\ndone!') print ('run time: ' + str(time() - t)) return err def evaluate_heatmap_network(model_path, network_type, img_path, test_data, batch_size=10, image_size=256, margin=0.25, bb_type='gt', c_dim=3, scale=1, num_landmarks=68, debug=False, debug_data_size=20): if network_type.lower() == 'fusion': return evaluate_heatmap_fusion_network( model_path=model_path, img_path=img_path, test_data=test_data, batch_size=batch_size, image_size=image_size, margin=margin, bb_type=bb_type, c_dim=c_dim, scale=scale, num_landmarks=num_landmarks, debug=debug, debug_data_size=debug_data_size) elif network_type.lower() == 'primary': return evaluate_heatmap_primary_network( model_path=model_path, img_path=img_path, test_data=test_data, batch_size=batch_size, image_size=image_size, margin=margin, bb_type=bb_type, c_dim=c_dim, scale=scale, num_landmarks=num_landmarks, debug=debug, debug_data_size=debug_data_size) else: sys.exit('\n*** Error: please choose a valid network type: Fusion/Primary ***') def AUC(errors, max_error, step_error=0.0001): x_axis = list(np.arange(0., max_error + step_error, step_error)) ced = np.array(compute_cumulative_error(errors, x_axis)) return simps(ced, x=x_axis) / max_error, 1. - ced[-1] def print_nme_statistics( errors, model_path, network_type, test_data, max_error=0.08, log_path='', save_log=True, plot_ced=True, norm='interocular distance'): auc, failures = AUC(errors, max_error=max_error) print ("\n****** NME statistics for " + network_type + " Network ******\n") print ("* model path: " + model_path) print ("* dataset: " + test_data + ' set') print ("\n* Normalized mean error (percentage of "+norm+"): %.2f" % (100 * np.mean(errors))) print ("\n* AUC @ %.2f: %.2f" % (max_error, 100 * auc)) print ("\n* failure rate @ %.2f: %.2f" % (max_error, 100 * failures) + '%') if plot_ced: plt.figure() plt.yticks(np.linspace(0, 1, 11)) plot_cumulative_error_distribution( list(errors), legend_entries=[network_type], marker_style=['s'], marker_size=7, x_label='Normalised Point-to-Point Error\n('+norm+')\n*' + test_data + ' set*', ) if save_log: with open(os.path.join(log_path, network_type.lower() + "_nme_statistics_on_" + test_data + "_set.txt"), "wb") as f: f.write(b"************************************************") f.write(("\n****** NME statistics for " + str(network_type) + " Network ******\n").encode()) f.write(b"************************************************") f.write(("\n\n* model path: " + str(model_path)).encode()) f.write(("\n\n* dataset: " + str(test_data) + ' set').encode()) f.write(b"\n\n* Normalized mean error (percentage of "+norm+"): %.2f" % (100 * np.mean(errors))) f.write(b"\n\n* AUC @ %.2f: %.2f" % (max_error, 100 * auc)) f.write(("\n\n* failure rate @ %.2f: %.2f" % (max_error, 100 * failures) + '%').encode()) if plot_ced: plt.savefig(os.path.join(log_path, network_type.lower() + '_nme_ced_on_' + test_data + '_set.png'), bbox_inches='tight') plt.close() print ('\nlog path: ' + log_path) def print_ced_compare_methods( method_errors,method_names,test_data,log_path='', save_log=True, norm='interocular distance'): plt.yticks(np.linspace(0, 1, 11)) plot_cumulative_error_distribution( [list(err) for err in list(method_errors)], legend_entries=list(method_names), marker_style=['s'], marker_size=7, x_label='Normalised Point-to-Point Error\n('+norm+')\n*'+test_data+' set*' ) if save_log: plt.savefig(os.path.join(log_path,'nme_ced_on_'+test_data+'_set.png'), bbox_inches='tight') print ('ced plot path: ' + os.path.join(log_path,'nme_ced_on_'+test_data+'_set.png')) plt.close()

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