xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

c88164d568f7019355c463f53c568e4155639ba8

68

py

Python

mmdet2trt/models/necks/__init__.py

jackweiwang/mmdetection-to-tensorrt

f988ba8e923764fb1173385a1c7160b8f8b5bd99

[ "Apache-2.0" ]

1

2021-08-23T10:09:37.000Z

mmdet2trt/models/necks/__init__.py

gcong18/mmdetection-to-tensorrt

c31c32ee4720ff56010bcda77bacf3a110d0526c

[ "Apache-2.0" ]

null

mmdet2trt/models/necks/__init__.py

gcong18/mmdetection-to-tensorrt

c31c32ee4720ff56010bcda77bacf3a110d0526c

[ "Apache-2.0" ]

null

from .base_neck import BaseNeckWraper from .hrfpn import HRFPNWraper

34

37

0.867647

9

68

6.444444

0.777778

0

0.102941

68

2

38

34

0.95082

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

c8911a2e28cd5ddc171401a1c873e2bbffa32ae3

48

py

Python

src/FlaUILibrary/flaui/__init__.py

GDATASoftwareAG/robotframework-flaui

81b654be0c4bdd7a176c7186eff2757f7e5da72a

[ "MIT" ]

22

2020-05-04T14:40:53.000Z

2022-03-24T05:57:00.000Z

src/FlaUILibrary/flaui/__init__.py

Fxztam/robotframework-flaui

81b654be0c4bdd7a176c7186eff2757f7e5da72a

[ "MIT" ]

33

2020-07-27T12:47:33.000Z

2022-03-29T11:16:30.000Z

src/FlaUILibrary/flaui/__init__.py

Fxztam/robotframework-flaui

81b654be0c4bdd7a176c7186eff2757f7e5da72a

[ "MIT" ]

4

2020-07-23T09:50:25.000Z

2022-01-18T10:32:55.000Z

from .uia2 import UIA2 from .uia3 import UIA3

16

23

0.75

8

48

4.5

0.5

0

0.105263

0.208333

48

2

24

0.842105

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

c8a3d29c519f48926ab735082b04e57bb4a6fb31

342

py

Python

tempo-api/src/app/tempo/utils/base_controller.py

cuappdev/archives

061d0f9cccf278363ffaeb27fc655743b1052ae5

[ "MIT" ]

null

tempo-api/src/app/tempo/utils/base_controller.py

cuappdev/archives

061d0f9cccf278363ffaeb27fc655743b1052ae5

[ "MIT" ]

7

2017-10-28T22:45:19.000Z

2018-09-30T07:04:33.000Z

appdev/controllers/base_controller.py

cuappdev/appdev.py

fffe58a01ba5bc00493213e2baa00a6a9e393280

[ "MIT" ]

null

import abc class BaseController: __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_path(self): # URI-path that begins and ends with a '/' return '' @abc.abstractmethod def get_methods(self): # List of different HTTP methods supported return [] @abc.abstractmethod def response(self, **kwargs): return None

20.117647

67

0.707602

43

342

5.488372

0.651163

0.216102

0.254237

0.194915

0

0.201754

342

16

68

21.375

0.864469

0.236842

0

0.25

0

1

0.25

false

0

0.083333

0.25

0.75

0

null

1

0

null

0

1

0

1

0

5

c8ea121bd87b24e2dc31d2ea3e6ef715e04887a7

144

py

Python

main/check-strict-superset/check-strict-superset.py

EliahKagan/old-practice-snapshot

1b53897eac6902f8d867c8f154ce2a489abb8133

[ "0BSD" ]

null

main/check-strict-superset/check-strict-superset.py

EliahKagan/old-practice-snapshot

1b53897eac6902f8d867c8f154ce2a489abb8133

[ "0BSD" ]

null

main/check-strict-superset/check-strict-superset.py

EliahKagan/old-practice-snapshot

1b53897eac6902f8d867c8f154ce2a489abb8133

[ "0BSD" ]

null

def input_set(): return set(map(int, raw_input().split())) s = input_set() print all(s > input_set() for i in xrange(0, int(raw_input())))

24

63

0.652778

26

144

3.423077

0.615385

0.269663

0.247191

0

0.008197

0.152778

144

5

64

28.8

0.721311

0

null

0

null

0.25

1

0

null

1

0

1

0

null

0

1

0

5

c8f9272dbde31a4ad914ff56f645c15f2e56b4f5

185

py

Python

pfioh/__init__.py

FNNDSC/pfioh-flask

64240cced4d7a3e399814acd8246cf7bf42a4074

[ "MIT" ]

null

pfioh/__init__.py

FNNDSC/pfioh-flask

64240cced4d7a3e399814acd8246cf7bf42a4074

[ "MIT" ]

null

pfioh/__init__.py

FNNDSC/pfioh-flask

64240cced4d7a3e399814acd8246cf7bf42a4074

[ "MIT" ]

null

from .pfioh import StoreHandler, HandleRequests, base64_process, zip_process, zipdir, SetupFlaskServer from .swift_store import SwiftStore from .mount_dir import MountDir

46.25

110

0.789189

21

185

6.761905

0.761905

0

0.012987

0.167568

185

3

111

61.666667

0.909091

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

cdb0abc5ad538e33d412ee44f6c0738ff3d4a00a

8,428

py

Python

app/onlib/views.py

gladunvv/library-api

5975bd6cd86e468354c8b05daa1f82c7a02350a2

[ "MIT" ]

null

app/onlib/views.py

gladunvv/library-api

5975bd6cd86e468354c8b05daa1f82c7a02350a2

[ "MIT" ]

7

2020-06-06T00:26:17.000Z

2022-02-10T12:17:47.000Z

app/onlib/views.py

gladunvv/library-api

5975bd6cd86e468354c8b05daa1f82c7a02350a2

[ "MIT" ]

null

from django.shortcuts import get_object_or_404 from rest_framework import permissions from rest_framework import generics from rest_framework import filters from rest_framework import status from rest_framework.views import APIView from rest_framework.response import Response from django_filters import rest_framework as filter_rest from onlib.models import Book, Genre, Author from onlib.serializers import ( BookSerializer, GenreSerializer, FullAuthorSerializer, FullBookSerializer, ) SAFE_METHODS = ['GET', 'HEAD', 'OPTIONS'] UNSAFE_METHODS = ['POST', 'PUT', 'PATCH', 'DELETE'] class CustomPermissions(permissions.BasePermission): def has_permission(self, request, view): if (request.method in SAFE_METHODS and request.user and request.user.is_authenticated): return True elif (request.method in UNSAFE_METHODS and request.user and request.user.is_staff): return True return False class SearchBooksView(generics.ListAPIView): permission_classes = (permissions.AllowAny,) filter_backends = (filters.SearchFilter,) search_fields = ('title',) queryset = Book.objects.all() serializer_class = BookSerializer class FilterBooksView(generics.ListAPIView): permission_classes = (permissions.IsAuthenticated,) filter_backends = (filter_rest.DjangoFilterBackend,) filterset_fields = ('genre', 'author') queryset = Book.objects.all() serializer_class = BookSerializer class GenreView(APIView): permission_classes = (CustomPermissions,) def get(self, request, *args, **kwargs): genres = Genre.objects.all() serializer = GenreSerializer(genres, many=True) return Response(serializer.data, status=status.HTTP_200_OK) def post(self, request, *args, **kwargs): data = request.data serializer = GenreSerializer(data=data) if serializer.is_valid(): serializer.save() return Response(serializer.data, status=status.HTTP_201_CREATED) else: return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST) def put(self, request, *args, **kwargs): genre = request.GET.get('genre', None) if not genre: return Response({'errors': 'No genre provided'}, status=status.HTTP_400_BAD_REQUEST) try: item = get_object_or_404(Genre, pk=genre) except (TypeError, ValueError): return Response({'errors': 'Argument must be int'}, status=status.HTTP_400_BAD_REQUEST) data = request.data serializer = GenreSerializer(item, data=data) if serializer.is_valid(): serializer.save() return Response(serializer.data, status=status.HTTP_200_OK) else: return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST) def delete(self, request, *args, **kwargs): genre = request.GET.get('genre', None) if not genre: return Response({'errors': 'No genre provided'}, status=status.HTTP_400_BAD_REQUEST) try: item = get_object_or_404(Genre, pk=genre) except (TypeError, ValueError): return Response({'errors': 'Argument must be int'}, status=status.HTTP_400_BAD_REQUEST) if item.books_genre.all(): message = { 'message': 'The {title} genre has books'.format( title=item.title, ), } return Response(message, status=status.HTTP_400_BAD_REQUEST) item.delete() message = { 'message': 'Genre {title} deleted successfully'.format( title=item.title, ), } return Response(message, status=status.HTTP_200_OK) class AuthorView(APIView): permission_classes = (CustomPermissions,) def get(self, request, *args, **kwargs): authors = Author.objects.all() serializer = FullAuthorSerializer(authors, many=True) return Response(serializer.data, status=status.HTTP_200_OK) def post(self, request, *args, **kwargs): data = request.data serializer = FullAuthorSerializer(data=data) if serializer.is_valid(): serializer.save() return Response(serializer.data, status=status.HTTP_201_CREATED) else: return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST) def put(self, request, *args, **kwargs): author = request.GET.get('author', None) if not author: return Response({'errors': 'No author provided'}, status=status.HTTP_400_BAD_REQUEST) try: item = get_object_or_404(Author, pk=author) except (TypeError, ValueError): return Response({'errors': 'Argument must be int'}, status=status.HTTP_400_BAD_REQUEST) data = request.data serializer = FullAuthorSerializer(item, data=data) if serializer.is_valid(): serializer.save() return Response(serializer.data, status=status.HTTP_200_OK) else: return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST) def delete(self, request, *args, **kwargs): author = request.GET.get('author', None) if not author: return Response({'errors': 'No author provided'}, status=status.HTTP_400_BAD_REQUEST) try: item = get_object_or_404(Author, pk=author) except (TypeError, ValueError): return Response({'errors': 'Argument must be int'}, status=status.HTTP_400_BAD_REQUEST) if item.books_author.all(): message = { 'message': 'The {author_name} author has books'.format( author_name=item.last_name, ), } return Response(message, status=status.HTTP_400_BAD_REQUEST) item.delete() message = { 'message': 'Author {author_name} deleted successfully'.format( author_name=item.last_name, ), } return Response(message, status=status.HTTP_200_OK) class BookView(APIView): permission_classes = (CustomPermissions,) def get(self, request, *args, **kwargs): books = Book.objects.all() serializer = FullBookSerializer(books, many=True) return Response(serializer.data, status=status.HTTP_200_OK) def post(self, request, *args, **kwargs): data = request.data author = data['author_id'] genre = data['genre_id'] serializer = FullBookSerializer(data=data) if serializer.is_valid(): serializer.save(author_id=author, genre_id=genre) return Response(serializer.data, status=status.HTTP_201_CREATED) else: return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST) def put(self, request, *args, **kwargs): book = request.GET.get('book', None) if not book: return Response({'errors': 'No book provided'}, status=status.HTTP_400_BAD_REQUEST) try: item = get_object_or_404(Book, pk=book) except (TypeError, ValueError): return Response({'errors': 'Argument must be int'}, status=status.HTTP_400_BAD_REQUEST) data = request.data author = data['author_id'] genre = data['genre_id'] serializer = FullBookSerializer(item, data=data) if serializer.is_valid(): serializer.save(author_id=author, genre_id=genre) return Response(serializer.data, status=status.HTTP_200_OK) else: return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST) def delete(self, request, *args, **kwargs): book = request.GET.get('book', None) if not book: return Response({'errors': 'No book provided'}, status=status.HTTP_400_BAD_REQUEST) try: item = get_object_or_404(Book, pk=book) except (TypeError, ValueError): return Response({'errors': 'Argument must be int'}, status=status.HTTP_400_BAD_REQUEST) item.delete() message = { 'message': 'Book {title} deleted successfully'.format( title=item.title, ), } return Response(message, status=status.HTTP_200_OK)

37.457778

99

0.638111

930

8,428

5.616129

0.127957

0.085774

0.098028

0.072755

0.780203

0.748803

0.713192

0.709554

0

0.018744

0.259374

8,428

224

100

37.625

0.818007

0

0.689474

0

0.072378

0

1

0.068421

false

0

0.052632

0

0.405263

0

null

0

1

0

null

0

5

cdcc34041ba0a1e5c326ac634efb4b9fdc8defc0

115

py

Python

earth/functions.py

Stuff-for-CodeCool/basic-flask-blueprint-example

9e4c51f07296d856810e476d1e15d06d72e8f1cb

[ "MIT" ]

null

earth/functions.py

Stuff-for-CodeCool/basic-flask-blueprint-example

9e4c51f07296d856810e476d1e15d06d72e8f1cb

[ "MIT" ]

null

earth/functions.py

Stuff-for-CodeCool/basic-flask-blueprint-example

9e4c51f07296d856810e476d1e15d06d72e8f1cb

[ "MIT" ]

null

from database import execute_query def crack_stone(): execute_query("", {}) return "the stone has cracked"

23

34

0.713043

15

115

5.266667

0.8

0.303797

0

0.182609

115

5

35

23

0.840426

0

0.181034

0

1

0.25

true

0

0.25

0

0.75

0

1

0

null

1

0

1

0

null

0

1

0

5

a8011728894f6515beef010cc4c7fe0f46746f6e

12

py

Python

tfcone/util/numerical.py

ma0ho/Deep-Learning-Cone-Beam-CT

9a4fb82f15672ba46249d947df987de5b1e57c2f

[ "Apache-2.0" ]

24

2018-06-17T06:41:22.000Z

2022-03-30T06:02:01.000Z

tfcone/util/numerical.py

SShiYuU/Deep-Learning-Cone-Beam-CT

223a24d3db2edbf681594782a8c0e664c0510ac5

[ "Apache-2.0" ]

2

2018-10-26T18:57:42.000Z

2019-03-28T13:57:23.000Z

tfcone/util/numerical.py

SShiYuU/Deep-Learning-Cone-Beam-CT

223a24d3db2edbf681594782a8c0e664c0510ac5

[ "Apache-2.0" ]

7

2018-09-06T09:06:12.000Z

2020-10-21T08:47:00.000Z

eps = 10e-7

6

11

0.583333

3

12

2.333333

1

0

0.333333

0.25

12

1

12

0.444444

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

b570d7d337c55170486d86b9f26bee0a43c1af00

21,703

py

Python

infra/services/gnumbd/test/gnumbd_test_definitions.py

eunchong/infra

ce3728559112bfb3e8b32137eada517aec6d22f9

[ "BSD-3-Clause" ]

null

infra/services/gnumbd/test/gnumbd_test_definitions.py

eunchong/infra

ce3728559112bfb3e8b32137eada517aec6d22f9

[ "BSD-3-Clause" ]

null

infra/services/gnumbd/test/gnumbd_test_definitions.py

eunchong/infra

ce3728559112bfb3e8b32137eada517aec6d22f9

[ "BSD-3-Clause" ]

null

# Copyright 2014 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. import collections from infra.services.gnumbd import gnumbd content_of = gnumbd.content_of REAL = 'refs/heads/master' PEND = 'refs/pending/heads/master' PEND_TAG = 'refs/pending-tags/heads/master' BRANCH = 'refs/branch-heads/cool_branch' BRANCH_PEND = 'refs/pending/branch-heads/cool_branch' BRANCH_TAG = 'refs/pending-tags/branch-heads/cool_branch' GNUMBD_TESTS = {} def gnumbd_test(f): GNUMBD_TESTS[f.__name__] = f return f def svn_footers(num): return { gnumbd.GIT_SVN_ID: [ 'svn://repo/path@%s 0039d316-1c4b-4281-b951-d872f2087c98' % num] } def gnumbd_footers(ref, num): return { gnumbd.COMMIT_POSITION: [gnumbd.FMT_COMMIT_POSITION(ref, num)] } # Error cases @gnumbd_test def no_real_ref(origin, _local, _config_ref, RUN, CHECKPOINT): origin[PEND].make_full_tree_commit('Hello world') CHECKPOINT('One commit in origin') RUN() CHECKPOINT('Origin should not have changed') @gnumbd_test def no_pending_tag(origin, _local, _config_ref, RUN, CHECKPOINT): base_commit = origin[REAL].make_full_tree_commit( 'Base commit', footers=gnumbd_footers(origin[REAL], 100)) origin[PEND].fast_forward(base_commit) origin[PEND].make_full_tree_commit('Hello world') CHECKPOINT('Two commits in origin') RUN() CHECKPOINT('Origin should not have changed') @gnumbd_test def bad_position_footer(origin, _local, _config_ref, RUN, CHECKPOINT): base_commit = origin[REAL].make_full_tree_commit( 'Base commit', footers={gnumbd.COMMIT_POSITION: ['BlobbyGumpus!']}) for ref in (PEND, PEND_TAG): origin[ref].fast_forward(base_commit) origin[PEND].make_full_tree_commit('Hello world') CHECKPOINT('Bad master commit footer') RUN() CHECKPOINT('Should be the same') assert origin[REAL].commit == base_commit @gnumbd_test def bad_svn_footer(origin, _local, _config_ref, RUN, CHECKPOINT): base_commit = origin[REAL].make_full_tree_commit( 'Base commit', footers={gnumbd.GIT_SVN_ID: ['BlobbyGumpus!']}) for ref in (PEND, PEND_TAG): origin[ref].fast_forward(base_commit) origin[PEND].make_full_tree_commit('Hello world') CHECKPOINT('Bad master commit footer') RUN() CHECKPOINT('Should be the same') assert origin[REAL].commit == base_commit @gnumbd_test def no_position_footer(origin, _local, _config_ref, RUN, CHECKPOINT): base_commit = origin[REAL].make_full_tree_commit( 'Base commit', footers={'Sup': ['Not a footer']}) for ref in (PEND, PEND_TAG): origin[ref].fast_forward(base_commit) origin[PEND].make_full_tree_commit('Hello world') CHECKPOINT('Master has no position footer') RUN() CHECKPOINT('Should be the same') assert origin[REAL].commit == base_commit @gnumbd_test def merge_commits_fail(origin, _local, _config_ref, RUN, CHECKPOINT): base_commit = origin[REAL].make_full_tree_commit( 'Base commit', footers=gnumbd_footers(origin[REAL], 100)) for ref in (PEND, PEND_TAG): origin[ref].fast_forward(base_commit) o_commit = origin['refs/heads/other'].make_full_tree_commit( 'Incoming merge!', footers=gnumbd_footers(origin['refs/heads/other'], 20)) m_commit = base_commit.alter( parents=(base_commit.hsh, o_commit.hsh), message_lines=['Two for one!'], footers={k: None for k in base_commit.data.footers} ) origin[PEND].fast_forward(m_commit) origin[PEND].make_full_tree_commit('Hello world') CHECKPOINT('The setup.') RUN() CHECKPOINT('Should be the same') @gnumbd_test def manual_merge_commits_ok(origin, _local, _config_ref, RUN, CHECKPOINT): base_commit = origin[REAL].make_full_tree_commit( 'Base commit', footers=gnumbd_footers(origin[REAL], 100)) o_commit = origin['refs/heads/other'].make_full_tree_commit( 'Incoming merge!', footers=gnumbd_footers(origin['refs/heads/other'], 20)) footers = {k: None for k in base_commit.data.footers} footers[gnumbd.COMMIT_POSITION] = ['refs/heads/master@{#101}'] m_commit = base_commit.alter( parents=(base_commit.hsh, o_commit.hsh), message_lines=['Two for one!'], footers=footers ) origin[REAL].fast_forward(m_commit) for ref in (PEND, PEND_TAG): origin[ref].fast_forward(m_commit) origin[PEND].make_full_tree_commit('Hello world') CHECKPOINT('The setup.') RUN() CHECKPOINT('Hello world landed w/o a hitch') @gnumbd_test def no_number_on_parent(origin, local, _config_ref, RUN, CHECKPOINT): base_commit = origin[REAL].make_full_tree_commit('Base without number') user_commit = origin[PEND].make_full_tree_commit('Hello world') CHECKPOINT('One commit in origin') RUN() CHECKPOINT('Should still only have 1 commit') assert local[PEND].commit == user_commit assert local[REAL].commit == base_commit # Normal cases @gnumbd_test def incoming_svn_id_drops(origin, _local, _config_ref, RUN, CHECKPOINT): base_commit = origin[REAL].make_full_tree_commit( 'Base commit', footers=svn_footers(100)) for ref in (PEND, PEND_TAG): origin[ref].fast_forward(base_commit) user_commit = origin[PEND].make_full_tree_commit('Hello world') CHECKPOINT('Two commits in origin') RUN() CHECKPOINT('Hello world should be 101') assert content_of(origin[REAL].commit) == content_of(user_commit) assert origin[REAL].commit.parent == base_commit # pending > master == tag @gnumbd_test def normal_update(origin, _local, _config_ref, RUN, CHECKPOINT): base_commit = origin[REAL].make_full_tree_commit( 'Base commit', footers=gnumbd_footers(origin[REAL], 100)) for ref in (PEND, PEND_TAG): origin[ref].fast_forward(base_commit) user_commit = origin[PEND].make_full_tree_commit('Hello world') CHECKPOINT('Two commits') RUN() CHECKPOINT('Hello world should be 101') assert content_of(origin[REAL].commit) == content_of(user_commit) assert origin[REAL].commit.parent == base_commit # master == pending == tag @gnumbd_test def steady_state(origin, _local, _config_ref, RUN, CHECKPOINT): base_commit = origin[REAL].make_full_tree_commit( 'Base commit', footers=gnumbd_footers(origin[REAL], 100)) for ref in (PEND, PEND_TAG): origin[ref].fast_forward(base_commit) user_commit = origin[PEND].make_full_tree_commit('Hello world') RUN(include_log=False) CHECKPOINT('Hello world should be 101') RUN() CHECKPOINT('Hello world should still be 101') assert content_of(origin[REAL].commit) == content_of(user_commit) assert origin[REAL].commit.parent == base_commit # master == pending > tag @gnumbd_test def tag_lagging_no_actual(origin, _local, _config_ref, RUN, CHECKPOINT): origin[REAL].make_full_tree_commit( 'Root commit', footers=gnumbd_footers(origin[REAL], 99)) base_commit = origin[REAL].make_full_tree_commit( 'Base commit', footers=gnumbd_footers(origin[REAL], 100)) for ref in (PEND, PEND_TAG): origin[ref].fast_forward(base_commit) user_commit = origin[PEND].make_full_tree_commit('Hello world') RUN(include_log=False) origin[PEND_TAG].update_to(origin[PEND_TAG].commit.parent.parent) CHECKPOINT('Tag on root (2 behind pend)') RUN() CHECKPOINT('Tag caught up') assert content_of(origin[REAL].commit) == content_of(user_commit) assert origin[REAL].commit.parent == base_commit assert origin[PEND_TAG].commit == origin[PEND].commit # pending > master > tag @gnumbd_test def tag_lagging(origin, _local, _config_ref, RUN, CHECKPOINT): origin[REAL].make_full_tree_commit( 'Root commit', footers=gnumbd_footers(origin[REAL], 99)) base_commit = origin[REAL].make_full_tree_commit( 'Base commit', footers=gnumbd_footers(origin[REAL], 100)) for ref in (PEND, PEND_TAG): origin[ref].fast_forward(base_commit) origin[PEND].make_full_tree_commit('Hello world') RUN(include_log=False) landed_commit = origin[REAL].commit origin[PEND_TAG].update_to(origin[PEND_TAG].commit.parent.parent) user_commit = origin[PEND].make_full_tree_commit('New commit') CHECKPOINT('Tag on root (3 behind pend). Real 1 behind pend') RUN() CHECKPOINT('Tag + pending caught up') assert content_of(origin[REAL].commit) == content_of(user_commit) assert origin[REAL].commit.parent == landed_commit assert origin[PEND_TAG].commit == origin[PEND].commit @gnumbd_test def multi_pending(origin, _local, _config_ref, RUN, CHECKPOINT): base_commit = origin[REAL].make_full_tree_commit( 'Base commit', footers=gnumbd_footers(origin[REAL], 100)) for ref in (PEND, PEND_TAG): origin[ref].fast_forward(base_commit) user_commit1 = origin[PEND].make_full_tree_commit('Hello world') user_commit2 = origin[PEND].make_full_tree_commit('Cat food') CHECKPOINT('Two pending commits') RUN() CHECKPOINT('And now they\'re on master') assert content_of(origin[REAL].commit.parent) == content_of(user_commit1) assert content_of(origin[REAL].commit) == content_of(user_commit2) assert origin[REAL].commit.parent.parent == base_commit # Inconsistency # tag > pending # Implicitly covers: # * master > tag > pending # * tag > pending > master # * tag > master > pending @gnumbd_test def master_tag_ahead_pending(origin, _local, _config_ref, RUN, CHECKPOINT): base_commit = origin[REAL].make_full_tree_commit( 'Base commit', footers=gnumbd_footers(origin[REAL], 100)) for ref in (PEND, PEND_TAG): origin[ref].fast_forward(base_commit) origin[PEND].make_full_tree_commit('Hello world') RUN(include_log=False) origin[PEND].update_to(base_commit) CHECKPOINT('Master and tag ahead of pending') RUN() CHECKPOINT('Should see errors and no change') # tag == pending > master @gnumbd_test def tag_ahead_master_pending(origin, _local, _config_ref, RUN, CHECKPOINT): base_commit = origin[REAL].make_full_tree_commit( 'Base commit', footers=gnumbd_footers(origin[REAL], 100)) for ref in (PEND, PEND_TAG): origin[ref].fast_forward(base_commit) origin[PEND].make_full_tree_commit('Hello world') RUN(include_log=False) origin[REAL].update_to(base_commit) CHECKPOINT('Tag+pending ahead of master') RUN() CHECKPOINT('Should see errors and no change') # pending > tag > master @gnumbd_test def normal_with_master_lag(origin, _local, _config_ref, RUN, CHECKPOINT): base_commit = origin[REAL].make_full_tree_commit( 'Base commit', footers=gnumbd_footers(origin[REAL], 100)) for ref in (PEND, PEND_TAG): origin[ref].fast_forward(base_commit) origin[PEND].make_full_tree_commit('Hello world') RUN(include_log=False) # master moves back origin[REAL].update_to(base_commit) # pending gets a new commit origin[PEND].make_full_tree_commit('New pending') CHECKPOINT('Master is behind, pending is ahead of tag') RUN() CHECKPOINT('Should see errors and no change') # fix by rewinding tag origin[PEND_TAG].update_to(origin[PEND_TAG].commit.parent) CHECKPOINT('Fix by rewinding tag') RUN() CHECKPOINT('All better') @gnumbd_test def master_ahead_tag_ahead_pending(origin, _local, _config_ref, RUN, CHECKPOINT): base_commit = origin[REAL].make_full_tree_commit( 'Base commit', footers=gnumbd_footers(origin[REAL], 100)) for ref in (PEND, PEND_TAG): origin[ref].fast_forward(base_commit) origin[REAL].make_full_tree_commit('Directly landed commit!') origin[PEND_TAG].make_full_tree_commit('Tag ahead of pending') CHECKPOINT('Master and tag have diverged, pend lags') RUN() CHECKPOINT('Should have errored and nothing changed') # master > pending == tag @gnumbd_test def master_ahead(origin, _local, _config_ref, RUN, CHECKPOINT): base_commit = origin[REAL].make_full_tree_commit( 'Base commit', footers=gnumbd_footers(origin[REAL], 100)) for ref in (PEND, PEND_TAG): origin[ref].fast_forward(base_commit) base_commit = origin[REAL].make_full_tree_commit('Directly landed commit!') CHECKPOINT('Master contains a commit whose content isn\'t in pending') RUN() CHECKPOINT('Should have errored and nothing changed') assert origin[REAL].commit == base_commit # pending == tag > master @gnumbd_test def master_behind(origin, _local, _config_ref, RUN, CHECKPOINT): base_commit = origin[REAL].make_full_tree_commit( 'Base commit', footers=gnumbd_footers(origin[REAL], 100)) for ref in (PEND, PEND_TAG): origin[ref].fast_forward(base_commit) user_commit = origin[PEND].make_full_tree_commit('Hello world') origin[PEND_TAG].fast_forward(user_commit) CHECKPOINT('Master should have new commit but does not') RUN() CHECKPOINT('Error and no change') # master > pending > tag @gnumbd_test def master_mismatch_and_pend(origin, _local, _config_ref, RUN, CHECKPOINT): base_commit = origin[REAL].make_full_tree_commit( 'Base commit', footers=gnumbd_footers(origin[REAL], 100)) for ref in (PEND, PEND_TAG): origin[ref].fast_forward(base_commit) origin[PEND].make_full_tree_commit('Hello world') base_commit = origin[REAL].make_full_tree_commit('Directly landed commit!') CHECKPOINT('Master contains a commit whose content isn\'t in pending') RUN() CHECKPOINT('Should have errored and nothing changed') assert origin[REAL].commit == base_commit # Branching @gnumbd_test def branch(origin, _local, config_ref, RUN, CHECKPOINT): new_globs = config_ref['enabled_refglobs'] + ['refs/branch-heads/*'] config_ref.update(enabled_refglobs=new_globs) base_commit = origin[REAL].make_full_tree_commit( 'Base commit', footers=gnumbd_footers(origin[REAL], 100)) for ref in (PEND, PEND_TAG): origin[ref].fast_forward(base_commit) origin[PEND].make_full_tree_commit('Hello world') CHECKPOINT('Pending commit', include_config=True) RUN() CHECKPOINT('And now it\'s on master', include_config=True) # Build a new branch for ref in (BRANCH, BRANCH_TAG, BRANCH_PEND): origin[ref].fast_forward(origin[REAL].commit) origin[BRANCH_PEND].make_full_tree_commit('Branch commit!') CHECKPOINT('New branch with pending', include_config=True) RUN() CHECKPOINT('Pending commit now on branch', include_config=True) origin[BRANCH_PEND].make_full_tree_commit('Another branch commit') CHECKPOINT('New pending commit for branch', include_config=True) RUN() CHECKPOINT('Second pending commit now on branch', include_config=True) assert origin[BRANCH].commit.data.footers[gnumbd.BRANCHED_FROM] == ( '%s-%s' % ( origin[REAL].commit.hsh, origin[REAL].commit.data.footers[gnumbd.COMMIT_POSITION][0] ), ) @gnumbd_test def branch_from_branch(origin, _local, config_ref, RUN, CHECKPOINT): new_globs = config_ref['enabled_refglobs'] + ['refs/branch-heads/*'] config_ref.update(enabled_refglobs=new_globs) base_commit = origin[REAL].make_full_tree_commit( 'Base commit', footers=gnumbd_footers(origin[REAL], 100)) for ref in (PEND, PEND_TAG): origin[ref].fast_forward(base_commit) origin[PEND].make_full_tree_commit('Hello world') RUN(include_log=False) # Build a new branch for ref in (BRANCH, BRANCH_TAG, BRANCH_PEND): origin[ref].fast_forward(origin[REAL].commit) origin[BRANCH_PEND].make_full_tree_commit('Branch commit!') RUN(include_log=False) CHECKPOINT('Branch 1 in place', include_config=True) yo_branch = BRANCH+'_yo' yo_branch_tag = BRANCH_TAG+'_yo' yo_branch_pend = BRANCH_PEND+'_yo' for ref in (yo_branch, yo_branch_tag, yo_branch_pend): origin[ref].fast_forward(origin[BRANCH].commit) origin[yo_branch_pend].make_full_tree_commit('Super branchey commit') CHECKPOINT('New pending commit for branch', include_config=True) RUN() CHECKPOINT('Second pending commit now on branch', include_config=True) assert origin[yo_branch].commit.data.footers[gnumbd.BRANCHED_FROM] == ( '%s-%s' % ( origin[BRANCH].commit.hsh, origin[BRANCH].commit.data.footers[gnumbd.COMMIT_POSITION][0] ), '%s-%s' % ( origin[REAL].commit.hsh, origin[REAL].commit.data.footers[gnumbd.COMMIT_POSITION][0] ), ) # Extra footers @gnumbd_test def extra_user_footer(origin, _local, _config_ref, RUN, CHECKPOINT): base_commit = origin[REAL].make_full_tree_commit( 'Base commit', footers=gnumbd_footers(origin[REAL], 100)) for ref in (PEND, PEND_TAG): origin[ref].fast_forward(base_commit) user_commit = origin[PEND].make_full_tree_commit( 'Hello world', footers=collections.OrderedDict([ ('Change-Id', ['Icafebabe1cec6eadfeba']), ('Reviewed-by', [ 'Cool Dudette 64 <cd64@example.com>', 'Epic Sky Troll <est@example.com>', ]), ('Tested-by', ['Lol JK <lol_jk@example.com>']) ])) CHECKPOINT('The setup...') RUN() CHECKPOINT('The new footers should appear after the current ones') assert content_of(origin[REAL].commit) == content_of(user_commit) assert origin[REAL].commit.parent == base_commit @gnumbd_test def extra_user_footer_bad(origin, _local, _config_ref, RUN, CHECKPOINT): base_commit = origin[REAL].make_full_tree_commit( 'Base commit', footers=gnumbd_footers(origin[REAL], 100)) for ref in (PEND, PEND_TAG): origin[ref].fast_forward(base_commit) user_commit = origin[PEND].make_full_tree_commit( 'Hello world', footers=collections.OrderedDict([ ('Cr-Double-Secret', ['I can impersonate the daemon!']), ('git-svn-id', ['Well... this should never happen']) ])) CHECKPOINT('Two commits') RUN() CHECKPOINT('The bogus footers should be gone') assert content_of(origin[REAL].commit) == content_of(user_commit) assert origin[REAL].commit.data.footers == { 'Cr-Original-Double-Secret': ('I can impersonate the daemon!',), gnumbd.COMMIT_POSITION: (gnumbd.FMT_COMMIT_POSITION(origin[REAL], 101),), } @gnumbd_test def enforce_commit_timestamps(origin, _local, _config_ref, RUN, CHECKPOINT): base_commit = origin[REAL].make_full_tree_commit( 'Base commit', footers=gnumbd_footers(origin[REAL], 100)) for ref in (PEND, PEND_TAG): origin[ref].fast_forward(base_commit) # cheat and rewind the TestClock origin._clock._time -= 100 # pylint: disable=W0212 user_commit = origin[PEND].make_full_tree_commit('Hello world') assert ( user_commit.data.committer.timestamp.secs < base_commit.data.committer.timestamp.secs ) CHECKPOINT('%r has a timestamp behind %r' % ( user_commit.hsh, base_commit.hsh), include_committer=True) RUN() CHECKPOINT('Presto! Timestamp is fixed', include_committer=True) assert content_of(origin[REAL].commit) == content_of(user_commit) assert origin[REAL].commit.parent == base_commit assert ( origin[REAL].commit.data.committer.timestamp.secs > origin[REAL].commit.parent.data.committer.timestamp.secs ) # git_svn_mode test. @gnumbd_test def svn_mode_uses_svn_rev(origin, _local, config_ref, RUN, CHECKPOINT): config_ref.update(git_svn_mode=True) base_commit = origin[REAL].make_full_tree_commit( 'Base commit', footers=svn_footers(100)) for ref in (PEND, PEND_TAG): origin[ref].fast_forward(base_commit) user_commit = origin[PEND].make_full_tree_commit( 'Hello world', footers=svn_footers(200)) CHECKPOINT('Two commits in origin') RUN() CHECKPOINT('Hello world should be 200') assert content_of(origin[REAL].commit) == content_of(user_commit) assert origin[REAL].commit.parent == base_commit @gnumbd_test def push_extra(origin, _local, config_ref, RUN, CHECKPOINT): config_ref.update( git_svn_mode=True, push_synth_extra={ 'refs/heads/master': ['refs/heads/crazy-times'] } ) base_commit = origin[REAL].make_full_tree_commit( 'Base commit', footers=svn_footers(100)) for ref in (PEND, PEND_TAG): origin[ref].fast_forward(base_commit) user_commit = origin[PEND].make_full_tree_commit( 'Hello world', footers=svn_footers(200)) CHECKPOINT('Two commits in origin') RUN() CHECKPOINT('Should have crazy-times') assert content_of(origin[REAL].commit) == content_of(user_commit) assert origin[REAL].commit.parent == base_commit @gnumbd_test def cherry_pick_regression(origin, _local, _config_ref, RUN, CHECKPOINT): base_commit = origin[REAL].make_full_tree_commit( 'Numbered commit', footers=gnumbd_footers( origin[REAL], 100)) for ref in (PEND, PEND_TAG): origin[ref].fast_forward(base_commit) origin[PEND].make_full_tree_commit( 'cherry pick', footers=gnumbd_footers(origin['refs/other/branch'], 200)) origin[PEND].make_full_tree_commit('normal commit') CHECKPOINT('OK commit with cherrypick (including cr-commit-pos)') RUN() CHECKPOINT('Cherry pick\'s number should be overwritten') @gnumbd_test def cherry_pick_x_regression(origin, _local, _config_ref, RUN, CHECKPOINT): base_commit = origin[REAL].make_full_tree_commit( 'Numbered commit', footers=gnumbd_footers( origin[REAL], 100)) for ref in (PEND, PEND_TAG): origin[ref].fast_forward(base_commit) origin[PEND].make_full_tree_commit( 'cherry pick\n' '\n' 'Cr-Commit-Position: refs/other/branch@{#200}\n' '(cherry picked from commit 42a2ff8eb8b7167353587c52f4e06e67f87d4b60)' ) origin[PEND].make_full_tree_commit('normal commit') CHECKPOINT('OK commit with cherrypick (including cr-commit-pos)') RUN() CHECKPOINT('Cherry pick\'s number should be overwritten') cp = str(origin[REAL].commit.parent.data).rstrip() cp += '\n(cherry picked from commit %s)' % origin[REAL].commit.parent.hsh origin[PEND].make_full_tree_commit(cp) origin[PEND].make_full_tree_commit('another normal commit') CHECKPOINT('Now we see a double-cherry-pick') RUN() CHECKPOINT('Should see two Cr-Original footers')

33.134351

79

0.734

3,071

21,703

4.936177

0.087919

0.072564

0.060162

0.090243

0.8019

0.759153

0.732898

0.70473

0.683554

0.675638

0

0.010581

0.1421

21,703

654

80

33.185015

0.803588

0.033221

0

0.667355

0

0.177605

0.017087

0

0.07438

1

0.068182

false

0

0.004132

0.078512

0

null

0

1

0

1

0

null

0

5

a91a40191cb62c12ce462a446f1aac2af082def6

368

py

Python

tests/functional/pages/main.py

mikepolo-JQ/inter

64f5da344c69e7885f4d76778016e9723c8bc7a6

[ "MIT" ]

1

2020-10-18T19:04:48.000Z

tests/functional/pages/main.py

mikepolo-JQ/inter

64f5da344c69e7885f4d76778016e9723c8bc7a6

[ "MIT" ]

6

2021-04-06T18:19:10.000Z

2021-09-22T19:44:06.000Z

tests/functional/pages/main.py

mikepolo-JQ/TMS

a043a04740645b0fab672366bc0d944f25e6efff

[ "MIT" ]

null

from selenium.webdriver.common.by import By from .abstract import PageElement from .abstract import PageObject class MainPage(PageObject): h1 = PageElement(By.CSS_SELECTOR, "h1") h2 = PageElement(By.CSS_SELECTOR, "h2") # p = PageElement(By.CSS_SELECTOR, "p") # a = PageElement(By.CSS_SELECTOR, "a") # # nav = PageElement(By.CSS_SELECTOR, "nav")

28.307692

49

0.706522

48

368

5.3125

0.375

0.254902

0.313725

0.470588

0

0.013029

0.165761

368

12

50

30.666667

0.81759

0.320652

0

0.016327

0

1

0

false

0

0.5

0

1

0

null

1

0

null

0

1

0

1

0

5

a9295513371949fd55699402ccc5b25fb41d542c

142

py

Python

rest_utils/permissions.py

itkpi/events-storage

69dfdd11ce7ce28abb0df1d5707db65ecc5ad4f8

[ "Apache-2.0" ]

1

2016-01-02T21:18:56.000Z

rest_utils/permissions.py

itkpi/events-storage

69dfdd11ce7ce28abb0df1d5707db65ecc5ad4f8

[ "Apache-2.0" ]

null

rest_utils/permissions.py

itkpi/events-storage

69dfdd11ce7ce28abb0df1d5707db65ecc5ad4f8

[ "Apache-2.0" ]

null

from abc import ABCMeta, abstractmethod class Permission(metaclass=ABCMeta): @abstractmethod def check(self, request): pass

17.75

39

0.71831

15

142

6.8

0.866667

0.411765

0

0.211268

142

7

40

20.285714

0.910714

0

1

0.2

false

0.2

0

0.6

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

a94731fdac4d8403ce8c870ce598f373b8e48bb8

228

py

Python

api/core/access_control.py

iashraful/survey-api

67de151f2938c24db96186117eed60b7909146d2

[ "MIT" ]

null

api/core/access_control.py

iashraful/survey-api

67de151f2938c24db96186117eed60b7909146d2

[ "MIT" ]

3

2021-09-22T13:55:12.000Z

2021-09-28T14:27:34.000Z

api/core/access_control.py

iashraful/survey-api

67de151f2938c24db96186117eed60b7909146d2

[ "MIT" ]

1

2021-09-10T06:55:17.000Z

from sqlalchemy.orm import Session from starlette.requests import Request class DataAccessQueryModelManager: @classmethod def objects(cls, session: Session, request: Request = None): return session.query(cls)

22.8

64

0.758772

25

228

6.92

0.68

0

0.175439

228

9

65

25.333333

0.920213

0

1

0.166667

false

0

0.333333

0.166667

0.833333

0

1

0

null

0

1

0

null

0

1

0

5

a952cccdd2e156f8c00556eeccf7993c5219829f

112

py

Python

src/modules/util/exception.py

frodo821/WebNovelFormatOfflineConverter

9dbc2ffccc7f56752fcbb80d515d4e5e99972632

[ "BSD-2-Clause" ]

null

src/modules/util/exception.py

frodo821/WebNovelFormatOfflineConverter

9dbc2ffccc7f56752fcbb80d515d4e5e99972632

[ "BSD-2-Clause" ]

null

src/modules/util/exception.py

frodo821/WebNovelFormatOfflineConverter

9dbc2ffccc7f56752fcbb80d515d4e5e99972632

[ "BSD-2-Clause" ]

null

#-*- coding:utf-8 -*- class ParseException(Exception): pass class ThroughLoop(Exception): pass

14

33

0.633929

11

112

6.454545

0.727273

0.366197

0

0.011628

0.232143

112

7

34

16

0.813953

0.178571

0

0.5

0

1

0

true

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

a95b208f0b60eb7d7a8acd5c44cb2ba8fdb02d15

58

py

Python

Verkefni 1/RemoveEmptyStrings.py

Kallehz/Python

7bc08d4ebed6f97d6cfa8efc585a566388eeec8f

[ "Apache-2.0" ]

1

2019-12-14T04:34:50.000Z

Verkefni 1/RemoveEmptyStrings.py

Kallehz/Python

7bc08d4ebed6f97d6cfa8efc585a566388eeec8f

[ "Apache-2.0" ]

null

Verkefni 1/RemoveEmptyStrings.py

Kallehz/Python

7bc08d4ebed6f97d6cfa8efc585a566388eeec8f

[ "Apache-2.0" ]

null

def remove_empty(l): return [i for i in l if i != '']

19.333333

36

0.568966

12

58

2.666667

0.75

0

0.275862

58

2

37

29

0.761905

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

a961a8bafa73f436a1c5f08b2435bbde1854e3d5

179

py

Python

modules/logging/logmanager.py

predragf/symc

f1ed239af7591bcf32648b4031708e74ce88fe2c

[ "MIT" ]

1

2022-03-18T05:50:56.000Z

modules/logging/logmanager.py

predragf/symc

f1ed239af7591bcf32648b4031708e74ce88fe2c

[ "MIT" ]

null

modules/logging/logmanager.py

predragf/symc

f1ed239af7591bcf32648b4031708e74ce88fe2c

[ "MIT" ]

null

class LogManager: def __init__(): pass def getLogger(loggerName): logger = log.setup_custom_logger(loggerName) logger = logging.getLogger('root')

22.375

52

0.648045

18

179

6.111111

0.722222

0.290909

0

0.256983

179

7

53

25.571429

0.827068

0

0.022346

0

1

0.333333

false

0.166667

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

a985fb0858d4a3370c7d66281c80a9922d7effe1

114

py

Python

kaishi/image/labelers/__init__.py

kungfuai/kaishi

e20360170ccac2111cab61fcd71b81be3c2a7468

[ "MIT" ]

10

2020-04-01T16:46:25.000Z

2021-02-09T15:56:42.000Z

kaishi/image/labelers/__init__.py

kungfuai/kaishi

e20360170ccac2111cab61fcd71b81be3c2a7468

[ "MIT" ]

14

2020-03-23T13:32:35.000Z

2021-12-07T19:30:23.000Z

kaishi/image/labelers/__init__.py

kungfuai/kaishi

e20360170ccac2111cab61fcd71b81be3c2a7468

[ "MIT" ]

2

2020-08-14T07:23:06.000Z

2021-12-06T18:20:42.000Z

"""Pipeline components that label data points based on user-defined criteria, specifically for image datasets."""

57

113

0.798246

15

114

6.066667

1

0

0.122807

114

1

114

0.91

0.938596

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

1

0

null

0

1

0

5

8d37a14eddf17b2abe0f2759fd9c12466c578452

112

py

Python

pyclustering/tests/__main__.py

JosephChataignon/pyclustering

bf4f51a472622292627ec8c294eb205585e50f52

[ "BSD-3-Clause" ]

1,013

2015-01-26T19:50:14.000Z

2022-03-31T07:38:48.000Z

pyclustering/tests/__main__.py

peterlau0626/pyclustering

bf4f51a472622292627ec8c294eb205585e50f52

[ "BSD-3-Clause" ]

542

2015-01-20T16:44:32.000Z

2022-01-29T14:57:20.000Z

pyclustering/tests/__main__.py

peterlau0626/pyclustering

bf4f51a472622292627ec8c294eb205585e50f52

[ "BSD-3-Clause" ]

262

2015-03-19T07:28:12.000Z

2022-03-30T07:28:24.000Z

from pyclustering.tests.tests_runner import tests_runner if __name__ == "__main__": tests_runner.run()

22.4

57

0.75

14

112

5.214286

0.642857

0.452055

0

0.160714

112

4

58

28

0.776596

0

0.074074

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

8d489fe0535e0ba3d683ef881e7bd7a94e3c698d

73

py

Python

plotutils/axpositioning/__init__.py

johndamen/plotutils

60bc043314c823bbcb27740b22393f0fd2b58476

[ "MIT" ]

null

plotutils/axpositioning/__init__.py

johndamen/plotutils

60bc043314c823bbcb27740b22393f0fd2b58476

[ "MIT" ]

null

plotutils/axpositioning/__init__.py

johndamen/plotutils

60bc043314c823bbcb27740b22393f0fd2b58476

[ "MIT" ]

null

from .axpositioning import PositioningAxes from .gui import adjust_axes

18.25

42

0.849315

9

73

6.777778

0.777778

0

0.123288

73

3

43

24.333333

0.953125

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

8d6251e8213ca79e67b340346adb4097ecf73ee3

88

py

Python

obqa/models/__init__.py

dianags/OpenBookQA

186dcd4d90633f13706966925995ff0f135ffd11

[ "Apache-2.0" ]

66

2018-10-23T03:55:03.000Z

2021-07-29T07:38:17.000Z

obqa/models/__init__.py

dianags/OpenBookQA

186dcd4d90633f13706966925995ff0f135ffd11

[ "Apache-2.0" ]

4

2019-02-19T05:46:16.000Z

2021-06-04T01:17:38.000Z

obqa/models/__init__.py

dianags/OpenBookQA

186dcd4d90633f13706966925995ff0f135ffd11

[ "Apache-2.0" ]

23

2018-10-23T22:30:11.000Z

2022-03-11T00:35:48.000Z

from obqa.models.entailment.stacked_nn_aggregate_custom import StackedNNAggregateCustom

44

87

0.920455

10

88

7.8

1

0

0.045455

88

1

88

0.928571

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

8d68edc2a267dabfef9dd38c07f3f82fb103e73e

323

py

Python

src/genie/libs/parser/iosxr/tests/ShowRunningConfigNtp/cli/equal/golden_output_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

204

2018-06-27T00:55:27.000Z

2022-03-06T21:12:18.000Z

src/genie/libs/parser/iosxr/tests/ShowRunningConfigNtp/cli/equal/golden_output_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

468

2018-06-19T00:33:18.000Z

2022-03-31T23:23:35.000Z

src/genie/libs/parser/iosxr/tests/ShowRunningConfigNtp/cli/equal/golden_output_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

309

2019-01-16T20:21:07.000Z

2022-03-30T12:56:41.000Z

expected_output = { 'vrf': { 'default': { 'address': { '10.4.1.1': { 'type': 'server'} } }, 'management': { 'address': { '10.4.1.1': { 'type': 'server'} } } } }

17

37

0.244582

19

323

4.105263

0.578947

0.230769

0.25641

0.282051

0.564103

0

0.074627

0.585139

323

18

38

17.944444

0.507463

0

0.375

0

0.218069

0

1

0

false

0

1

0

null

1

0

1

0

null

0

5

a5d94233b442ee576e9b6c0fe44c63cd3e4a8946

532

py

Python

DQM/SiStripMonitorClient/test/sistrip_gres_layout.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

DQM/SiStripMonitorClient/test/sistrip_gres_layout.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

DQM/SiStripMonitorClient/test/sistrip_gres_layout.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

def dtlayout(i, p, *rows): i["Layouts/SiStrip Layouts/" + p] = DQMItem(layout=rows) dtlayout(dqmitems, "SiStrip_Digi_Summary", ["SiStrip/MechanicalView/TIB/Summary_NumberOfDigis_in_TIB"], ["SiStrip/MechanicalView/TOB/Summary_NumberOfDigis_in_TOB"], ["SiStrip/MechanicalView/TID/MINUS/Summary_NumberOfDigis_in_MINUS", "SiStrip/MechanicalView/TID/PLUS/Summary_NumberOfDigis_in_PLUS"], ["SiStrip/MechanicalView/TEC/MINUS/Summary_NumberOfDigis_in_MINUS", "SiStrip/MechanicalView/TEC/PLUS/Summary_NumberOfDigis_in_PLUS"])

53.2

83

0.806391

64

532

6.390625

0.328125

0.308068

0.322738

0.132029

0.405868

0.259169

0

0.06203

532

9

84

59.111111

0.819639

0

0.755639

0.672932

0

1

0.125

false

0

0.125

0

null

1

0

1

0

1

null

0

5

93d340551c953f4fc8f968a1cb9b5f79aaf59bd2

924

py

Python

fintools/__init__.py

scubamut/fintools

ba05c6b6c9e506f55910987e9d04c4babdcc6370

[ "MIT" ]

2

2020-11-29T11:12:19.000Z

2021-11-14T01:08:49.000Z

fintools/__init__.py

scubamut/fintools

ba05c6b6c9e506f55910987e9d04c4babdcc6370

[ "MIT" ]

null

fintools/__init__.py

scubamut/fintools

ba05c6b6c9e506f55910987e9d04c4babdcc6370

[ "MIT" ]

1

2019-07-29T23:12:11.000Z

import cvxopt from fintools.backtest import backtest from fintools.allocation_helper_functions import * from fintools.cla import * from fintools.compute_weights_PMA import * from fintools.compute_weights_RS_DM import * from fintools.endpoints import * from fintools.finhelpers3 import * from fintools.get_yahoo_prices import * from fintools.mlhelpers3 import * from fintools.monthly_return_table import * from fintools.Parameters import * from fintools.portfolio_helper_functions import * from fintools.set_start_end import set_start_end from fintools.show_return_table import show_return_table from fintools.show_annual_returns import show_annual_returns from fintools.get_DataArray import get_DataArray from fintools.get_Dataset import get_Dataset from fintools.make_pipeline_engine import make_pipeline_engine from fintools.get_tiingo_prices import get_tiingo_prices from fintools.pipeline_engine import pipeline_engine

40.173913

62

0.876623

130

924

5.930769

0.284615

0.311284

0.256809

0.064851

0.168612

0

0.002378

0.089827

924

22

63

42

0.914388

0

1

0

true

0

1

0

1

0

null

1

0

null

0

1

0

1

0

1

0

5

93da1d6727a133197d14b46cff7ba8b52f7ae6a8

226

py

Python

psono/fileserver/views/__init__.py

dirigeant/psono-server

a18c5b3c4d8bbbe4ecf1615b210d99fb77752205

[ "Apache-2.0", "CC0-1.0" ]

48

2018-04-19T15:50:58.000Z

2022-01-23T15:58:11.000Z

psono/fileserver/views/__init__.py

dirigeant/psono-server

a18c5b3c4d8bbbe4ecf1615b210d99fb77752205

[ "Apache-2.0", "CC0-1.0" ]

9

2018-09-13T14:56:18.000Z

2020-01-17T16:44:33.000Z

psono/fileserver/views/__init__.py

dirigeant/psono-server

a18c5b3c4d8bbbe4ecf1615b210d99fb77752205

[ "Apache-2.0", "CC0-1.0" ]

11

2019-09-20T11:53:47.000Z

2021-07-18T22:41:31.000Z

from .alive import AliveView from .authorize_upload import AuthorizeUploadView from .authorize_download import AuthorizeDownloadView from .cleanup_chunks import CleanupChunksView from .revoke_download import RevokeDownloadView

45.2

53

0.893805

24

226

8.25

0.583333

0.131313

0

0.084071

226

5

54

45.2

0.956522

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

9e21bf030eb665d8f78af01347c7be7db76d04b7

123

py

Python

Assignment/dsa/__init__.py

MC-DeltaT/DSA-Practicals

5c77cac1cfee5d756b84722e563813c153486770

[ "MIT" ]

null

Assignment/dsa/__init__.py

MC-DeltaT/DSA-Practicals

5c77cac1cfee5d756b84722e563813c153486770

[ "MIT" ]

null

Assignment/dsa/__init__.py

MC-DeltaT/DSA-Practicals

5c77cac1cfee5d756b84722e563813c153486770

[ "MIT" ]

null

from .array import * from .hash_table import * from .set import * from .singly_linked_list import * from .sorting import *

20.5

33

0.756098

18

123

5

0.555556

0.444444

0

0.162602

123

5

34

24.6

0.873786

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

9e25d8ef1ee7cb2f706cb2de14390e81ab1059a0

1,778

py

Python

toolchain/disassemble_hexdump.py

nielsdos/kwast

a2118d0598b35ed1ddb6520ff1caa571a22bd427

[ "MIT" ]

45

2020-03-28T20:51:17.000Z

2022-03-18T07:15:45.000Z

toolchain/disassemble_hexdump.py

nielsdos/kwast

a2118d0598b35ed1ddb6520ff1caa571a22bd427

[ "MIT" ]

11

2020-02-22T17:28:05.000Z

2020-08-26T20:39:39.000Z

toolchain/disassemble_hexdump.py

nielsdos/kwast

a2118d0598b35ed1ddb6520ff1caa571a22bd427

[ "MIT" ]

2

2021-06-25T17:00:13.000Z

2022-03-24T21:22:04.000Z

#!/usr/bin/env python3 import struct import os import tempfile list = [0x55, 0x48, 0x89, 0xe5, 0xb8, 0x1, 0x0, 0x0, 0x0, 0x5d, 0xc3, 0x55, 0x48, 0x89, 0xe5, 0xb8, 0x2, 0x0, 0x0, 0x0, 0x5d, 0xc3, 0x55, 0x48, 0x89, 0xe5, 0xb8, 0x3, 0x0, 0x0, 0x0, 0x5d, 0xc3, 0x55, 0x48, 0x89, 0xe5, 0xb8, 0x4, 0x0, 0x0, 0x0, 0x5d, 0xc3, 0x55, 0x48, 0x89, 0xe5, 0xb8, 0x5, 0x0, 0x0, 0x0, 0x5d, 0xc3, 0x55, 0x48, 0x89, 0xe5, 0x40, 0x89, 0xf0, 0x83, 0xc0, 0xfd, 0x83, 0xf8, 0x7, 0x77, 0x1e, 0x83, 0xf8, 0x8, 0x73, 0x12, 0x89, 0xc0, 0x48, 0x8d, 0xd, 0x2c, 0x0, 0x0, 0x0, 0x48, 0x63, 0x4, 0x81, 0x48, 0x1, 0xc1, 0xff, 0xe1, 0xe8, 0x9e, 0xff, 0xff, 0xff, 0x5d, 0xc3, 0xe8, 0xc3, 0xff, 0xff, 0xff, 0x5d, 0xc3, 0xe8, 0x9b, 0xff, 0xff, 0xff, 0x5d, 0xc3, 0xe8, 0x9f, 0xff, 0xff, 0xff, 0x5d, 0xc3, 0xe8, 0xa3, 0xff, 0xff, 0xff, 0x5d, 0xc3, 0xdd, 0xff, 0xff, 0xff, 0xe4, 0xff, 0xff, 0xff, 0xe4, 0xff, 0xff, 0xff, 0xe4, 0xff, 0xff, 0xff, 0xe4, 0xff, 0xff, 0xff, 0xeb, 0xff, 0xff, 0xff, 0xf2, 0xff, 0xff, 0xff, 0xf9, 0xff, 0xff, 0xff, 0x55, 0x48, 0x89, 0xe5, 0x41, 0x57, 0x48, 0x83, 0xec, 0x8, 0x48, 0x89, 0xbc, 0x24, 0x0, 0x0, 0x0, 0x0, 0xb8, 0x3, 0x0, 0x0, 0x0, 0x49, 0x89, 0xff, 0x4c, 0x89, 0xff, 0x40, 0x89, 0xc6, 0xe8, 0x72, 0xff, 0xff, 0xff, 0x4c, 0x8b, 0xbc, 0x24, 0x0, 0x0, 0x0, 0x0, 0x49, 0x8b, 0x4f, 0x8, 0x4c, 0x89, 0xff, 0x40, 0x89, 0xc6, 0xff, 0xd1, 0x48, 0x83, 0xc4, 0x8, 0x41, 0x5f, 0x5d, 0xc3] list = [0x5d, 0x41, 0x5c, 0x5b, 0x5d, 0xc3, 0xf, 0xb, 0xbe, 0x0, 0x0, 0x0, 0x0, 0x4c, 0x89, 0xe7, 0xe8, 0x14, 0x2b, 0x2a, 0x0, 0xb9, 0x10, 0x0, 0x0, 0x0, 0x49, 0x89, 0xc4, 0x41, 0xd3, 0xe4] out = tempfile.NamedTemporaryFile(mode = 'wb') out.write(struct.pack(f'{len(list)}B', *list)) out.flush() os.system(f'objdump -b binary -D -m i386:x86-64 {out.name} --adjust-vma 0x7ffffffb0097') out.close()

118.533333

1,314

0.663105

303

1,778

3.891089

0.333333

0.189992

0.10687

0.094996

0.445293

0.374046

0.217981

0.189992

0

0.358871

0.163105

1,778

14

1,315

127

0.433468

0.011811

0

0.1

0.050114

0

0.563212

0

1

0

false

0

0.3

0

0.3

0

null

0

1

0

1

0

null

0

1

0

5

f50d7c84d30b7e79f17c34ebd45d1bd7003f604e

316

py

Python

app/consumer/settings.py

multicatch/django-example-oauth

432fa29cec72f4b4c12ddd8fdfaf1c34067716cb

[ "MIT" ]

null

app/consumer/settings.py

multicatch/django-example-oauth

432fa29cec72f4b4c12ddd8fdfaf1c34067716cb

[ "MIT" ]

4

2021-03-30T13:09:50.000Z

2021-09-22T18:55:59.000Z

app/consumer/settings.py

multicatch/django-example-oauth

432fa29cec72f4b4c12ddd8fdfaf1c34067716cb

[ "MIT" ]

null

OAUTH2_SERVER_URL = 'http://localhost:8000/oauth2' OAUTH2_CLIENT_ID = 'Qv6vn7hxGGNyGuLxOU7DHtvPAykevYe1fKwy0eEP' OAUTH2_CLIENT_SECRET = '51SAwsXvhxjMTRUufxQdobMnqs2PrcmK4AEyajWTPfr2LCDt9ML7zeOWPirAhC5rvQW9hKfsjNPoraLV9meCHyLGomvM4H0y7eMXVS2eNFH1H3kJFekePBbbRBUFEsLt' REDIRECT_URL = 'http://localhost:8000/consumer/'

63.2

153

0.889241

21

316

13.047619

0.619048

0.051095

0.116788

0.145985

0

0.108553

0.037975

316

4

154

79

0.792763

0

0.718354

0.531646

0

1

0

false

0

1

0

1

null

0

1

0

1

null

0

5

19333a18a2685743d721bcb608a01ed93f2dd9c5

690

py

Python

agents/foundation/AgentType.py

lmarent/network_agents_ver2_python

f85811086d2bfe067b44e52c6aff3009d3353586

[ "MIT" ]

null

agents/foundation/AgentType.py

lmarent/network_agents_ver2_python

f85811086d2bfe067b44e52c6aff3009d3353586

[ "MIT" ]

null

agents/foundation/AgentType.py

lmarent/network_agents_ver2_python

f85811086d2bfe067b44e52c6aff3009d3353586

[ "MIT" ]

null

class AgentType(): CONSUMER_TYPE = 1 PROVIDER_ISP = 2 PROVIDER_BACKHAUL = 3 PRESENTER_TYPE = 4 PROVIDER_SUP = 5 def __init__(self, type): self.intfNames = {} self.intfNames[AgentType.CONSUMER_TYPE] = 'consumer' self.intfNames[AgentType.PROVIDER_ISP] = 'provider' self.intfNames[AgentType.PROVIDER_BACKHAUL] = 'provider' self.intfNames[AgentType.PRESENTER_TYPE] = 'presenter' self.intfNames[AgentType.PROVIDER_SUP] = 'provider' self.value = type def getInterfaceName(self): return self.intfNames[self.value] def getType(self): return self.value

31.363636

65

0.624638

70

690

5.957143

0.314286

0.218225

0.263789

0.215827

0

0.010101

0.282609

690

22

66

31.363636

0.832323

0

0.061194

0

1

0.166667

false

0

0.111111

0.611111

0

null

1

0

null

0

1

0

5

1944abc88a150323576564b80938e8dfd7713cfa

52

py

Python

src/utils/runners/__init__.py

kryvokhyzha/bert-for-ukranian-ner

48da40f09cb216ad51a97c303998157858fbe8bc

[ "MIT" ]

null

src/utils/runners/__init__.py

kryvokhyzha/bert-for-ukranian-ner

48da40f09cb216ad51a97c303998157858fbe8bc

[ "MIT" ]

null

src/utils/runners/__init__.py

kryvokhyzha/bert-for-ukranian-ner

48da40f09cb216ad51a97c303998157858fbe8bc

[ "MIT" ]

null

from utils.runners.CustomRunner import CustomRunner

26

51

0.884615

6

52

7.666667

0.833333

0

0.076923

52

1

52

0.958333

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

198b2ce9f1702f539431929b94bd3d235dd3535a

331

py

Python

tests/test_views.py

jorzel/quotes-storage

e2b42e07d2fbf2db7c375865f06a277f15a17dd9

[ "MIT" ]

null

tests/test_views.py

jorzel/quotes-storage

e2b42e07d2fbf2db7c375865f06a277f15a17dd9

[ "MIT" ]

null

tests/test_views.py

jorzel/quotes-storage

e2b42e07d2fbf2db7c375865f06a277f15a17dd9

[ "MIT" ]

null

def test_index(client): response = client.get('/') assert response.status_code == 200 assert response.content_type == 'text/html; charset=utf-8' def test_book_views_get(client): response = client.get('/book') assert response.status_code == 200 assert response.content_type == 'text/html; charset=utf-8'

25.461538

62

0.697885

45

331

4.955556

0.422222

0.251121

0.179372

0.206278

0.636771

0

0.029091

0.169184

331

12

63

27.583333

0.781818

0

0.5

0

0.164134

0

0.5

1

0.25

false

0

0.25

0

null

1

0

1

0

1

0

null

0

1

0

1

0

5

19948c95de56e79d17c7a8ac6c62405d4866da55

7,695

py

Python

testing/unit_tests/test_completeness_and_consistency_checker.py

IPASC/DataConversionTool

88f04c4df97f4a060c566da4bfc0c0e4fe246536

[ "MIT", "BSD-3-Clause" ]

2

2021-12-16T04:21:37.000Z

2022-03-10T03:19:21.000Z

testing/unit_tests/test_completeness_and_consistency_checker.py

IPASC/DataConversionTool

88f04c4df97f4a060c566da4bfc0c0e4fe246536

[ "MIT", "BSD-3-Clause" ]

12

2021-12-20T13:22:45.000Z

2022-02-17T19:57:03.000Z

testing/unit_tests/test_completeness_and_consistency_checker.py

amasmiller/PACFISH

f9bc912e701df3261a2b9a94df281c664701701d

[ "BSD-3-Clause" ]

1

2022-02-11T21:33:28.000Z

# SPDX-FileCopyrightText: 2021 International Photoacoustics Standardisation Consortium (IPASC) # SPDX-License-Identifier: BSD 3-Clause License import unittest import numpy as np from unittest.case import TestCase import pacfish as pf from testing.unit_tests.utils import create_complete_device_metadata_dictionary, create_complete_acquisition_meta_data_dictionary import os class CompletenessAndConsistencyTest(TestCase): def setUp(self): print("setUp") def tearDown(self): print("tearDown") def test_wrong_input_type(self): device_dict = create_complete_device_metadata_dictionary() device_dict[pf.MetadataDeviceTags.GENERAL.tag][pf.MetadataDeviceTags.NUMBER_OF_ILLUMINATION_ELEMENTS.tag] = "4" device_dict[pf.MetadataDeviceTags.GENERAL.tag][pf.MetadataDeviceTags.FIELD_OF_VIEW.tag] = "Wrong" acquisition_dict = create_complete_acquisition_meta_data_dictionary() pa_data = pf.PAData(binary_time_series_data=np.zeros([256, 2048]), meta_data_acquisition=acquisition_dict, meta_data_device=device_dict) self.assertFalse(pf.quality_check_pa_data(pa_data)) def test_empty_dictionaries(self): completeness_checker = pf.CompletenessChecker() self.assertFalse(completeness_checker.check_device_meta_data(dict())) self.assertFalse(completeness_checker.check_acquisition_meta_data(dict())) consistency_checker = pf.ConsistencyChecker() self.assertFalse(consistency_checker.check_device_meta_data(dict())) self.assertFalse(consistency_checker.check_acquisition_meta_data(dict())) def test_None_input_to_completeness_checker(self): completeness_checker = pf.CompletenessChecker(verbose=True) failed = False try: completeness_checker.check_device_meta_data(None) except ValueError: failed = True self.assertTrue(failed) failed = False try: completeness_checker.check_acquisition_meta_data(None) except ValueError: failed = True self.assertTrue(failed) failed = False try: completeness_checker.check_device_meta_data("None") except TypeError: failed = True self.assertTrue(failed) failed = False try: completeness_checker.check_acquisition_meta_data("None") except TypeError: failed = True self.assertTrue(failed) def test_None_input_to_consistency_checker(self): consistency_checker = pf.ConsistencyChecker(verbose=True) failed = False try: consistency_checker.check_device_meta_data(None) except ValueError: failed = True self.assertTrue(failed) failed = False try: consistency_checker.check_acquisition_meta_data(None) except ValueError: failed = True self.assertTrue(failed) failed = False try: consistency_checker.check_device_meta_data("None") except TypeError: failed = True self.assertTrue(failed) failed = False try: consistency_checker.check_acquisition_meta_data("None") except TypeError: failed = True self.assertTrue(failed) def test_log_file_writing(self): device_dict = create_complete_device_metadata_dictionary() acquisition_dict = create_complete_acquisition_meta_data_dictionary() pa_data = pf.PAData(binary_time_series_data=np.zeros([256, 2048]), meta_data_acquisition=acquisition_dict, meta_data_device=device_dict) completeness_checker = pf.CompletenessChecker(verbose=False, log_file_path="") self.assertFalse(os.path.exists(completeness_checker.save_file_name)) completeness_checker.check_acquisition_meta_data(acquisition_dict) self.assertTrue(os.path.exists(completeness_checker.save_file_name)) os.remove(completeness_checker.save_file_name) completeness_checker.check_device_meta_data(device_dict) self.assertTrue(os.path.exists(completeness_checker.save_file_name)) os.remove(completeness_checker.save_file_name) consistency_checker = pf.ConsistencyChecker(verbose=False, log_file_path="") self.assertFalse(os.path.exists(consistency_checker.save_file_name)) consistency_checker.check_acquisition_meta_data(acquisition_dict) self.assertTrue(os.path.exists(consistency_checker.save_file_name)) os.remove(consistency_checker.save_file_name) consistency_checker.check_device_meta_data(device_dict) self.assertTrue(os.path.exists(consistency_checker.save_file_name)) os.remove(consistency_checker.save_file_name) def test_pa_data_check(self): device_dict = create_complete_device_metadata_dictionary() acquisition_dict = create_complete_acquisition_meta_data_dictionary() pa_data = pf.PAData(binary_time_series_data=np.zeros([256, 2048]), meta_data_acquisition=acquisition_dict, meta_data_device=device_dict) self.assertTrue(pf.quality_check_pa_data(pa_data)) def test_check_a_complete_and_consistent_pa_data_instance(self): device_dict = create_complete_device_metadata_dictionary() acquisition_dict = create_complete_acquisition_meta_data_dictionary() pa_data = pf.PAData(binary_time_series_data=np.zeros([256, 2048]), meta_data_acquisition=acquisition_dict, meta_data_device=device_dict) completeness_checker = pf.CompletenessChecker(verbose=True) consistency_checker = pf.ConsistencyChecker(verbose=True) assert completeness_checker.check_acquisition_meta_data(pa_data.meta_data_acquisition) assert completeness_checker.check_device_meta_data(pa_data.meta_data_device) assert consistency_checker.check_binary_data(pa_data.binary_time_series_data) assert consistency_checker.check_acquisition_meta_data(pa_data.meta_data_acquisition) assert consistency_checker.check_device_meta_data(pa_data.meta_data_device) def test_check_a_complete_but_inconsistent_pa_data_instance(self): device_dict = create_complete_device_metadata_dictionary() for illuminator_tag in device_dict[pf.MetadataDeviceTags.ILLUMINATORS.tag]: device_dict[pf.MetadataDeviceTags.ILLUMINATORS.tag][illuminator_tag]\ [pf.MetadataDeviceTags.PULSE_WIDTH.tag] = -0.1 acquisition_dict = create_complete_acquisition_meta_data_dictionary() acquisition_dict[pf.MetadataAcquisitionTags.DIMENSIONALITY.tag] = "Wrong string" pa_data = pf.PAData(binary_time_series_data=np.zeros([256, 2048]), meta_data_acquisition=acquisition_dict, meta_data_device=device_dict) completeness_checker = pf.CompletenessChecker(verbose=True) consistency_checker = pf.ConsistencyChecker(verbose=True) assert completeness_checker.check_acquisition_meta_data(pa_data.meta_data_acquisition) assert completeness_checker.check_device_meta_data(pa_data.meta_data_device) assert consistency_checker.check_binary_data(pa_data.binary_time_series_data) assert consistency_checker.check_acquisition_meta_data(pa_data.meta_data_acquisition) is False assert consistency_checker.check_device_meta_data(pa_data.meta_data_device) is False

42.75

129

0.721507

864

7,695

6.015046

0.131944

0.073889

0.065807

0.050799

0.860112

0.821628

0.75101

0.668847

0.656148

0

0.007082

0.210916

7,695

179

130

42.988827

0.848814

0.017934

0

0.615942

0

0.006222

0

0.217391

1

0.072464

false

0

0.043478

0

0.123188

0.014493

0

null

0

1

0

1

0

null

0

5

199e7322f7ac232ab6fe70e49e4da9871823eb8f

92

py

Python

dtf/features/admin.py

WebPowerLabs/django-trainings

97f7a96c0fbeb85a001201c74713f7944cb77236

[ "BSD-3-Clause" ]

null

dtf/features/admin.py

WebPowerLabs/django-trainings

97f7a96c0fbeb85a001201c74713f7944cb77236

[ "BSD-3-Clause" ]

null

dtf/features/admin.py

WebPowerLabs/django-trainings

97f7a96c0fbeb85a001201c74713f7944cb77236

[ "BSD-3-Clause" ]

null

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

15.333333

32

0.815217

13

92

5.769231

0.692308

0

0.119565

92

6

33

15.333333

0.925926

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

19a7c5e0c78fd6810ca9e272fdf163b94b9fe73b

99

py

Python

view/base.py

54bp6cl6/MiaAndMax

1f56987b68d847c3fe2136a97a404480b7537714

[ "MIT" ]

null

view/base.py

54bp6cl6/MiaAndMax

1f56987b68d847c3fe2136a97a404480b7537714

[ "MIT" ]

null

view/base.py

54bp6cl6/MiaAndMax

1f56987b68d847c3fe2136a97a404480b7537714

[ "MIT" ]

null

from linebot.models import TextSendMessage def TextMessage(text): return TextSendMessage(text)

24.75

42

0.818182

11

99

7.363636

0.818182

0

0.121212

99

4

43

24.75

0.931034

0

1

0.333333

false

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

5fd85c8be3fabbbfecd2b42d850c6a9056e67046

256

py

Python

corehq/form_processor/utils/general.py

akashkj/commcare-hq

b00a62336ec26cea1477dfb8c048c548cc462831

[ "BSD-3-Clause" ]

471

2015-01-10T02:55:01.000Z

2022-03-29T18:07:18.000Z

corehq/form_processor/utils/general.py

akashkj/commcare-hq

b00a62336ec26cea1477dfb8c048c548cc462831

[ "BSD-3-Clause" ]

14,354

2015-01-01T07:38:23.000Z

2022-03-31T20:55:14.000Z

corehq/form_processor/utils/general.py

akashkj/commcare-hq

b00a62336ec26cea1477dfb8c048c548cc462831

[ "BSD-3-Clause" ]

175

2015-01-06T07:16:47.000Z

2022-03-29T13:27:01.000Z

def use_sqlite_backend(domain_name): return True def is_commcarecase(obj): from casexml.apps.case.models import CommCareCase from corehq.form_processor.models import CommCareCaseSQL return isinstance(obj, (CommCareCase, CommCareCaseSQL))

28.444444

60

0.792969

31

256

6.387097

0.709677

0.121212

0

0.140625

256

8

61

32

0.9

0

1

0.333333

false

0

0.333333

0.166667

1

0

null

0

1

0

null

0

1

0

1

0

5

5ffe326babf953b848694ddab3392ecda818189d

36

py

Python

build/lib/src/ttsRogue/__init__.py

AlexBacho/ezyt

5d9526d7901270ed5d97adf73ed0df9b21bf0387

[ "MIT" ]

1

2020-10-21T09:28:56.000Z

build/lib/src/ttsRogue/__init__.py

AlexBacho/ezyt

5d9526d7901270ed5d97adf73ed0df9b21bf0387

[ "MIT" ]

null

build/lib/src/ttsRogue/__init__.py

AlexBacho/ezyt

5d9526d7901270ed5d97adf73ed0df9b21bf0387

[ "MIT" ]

null

from .redditThief import RedditThief

36

0.888889

4

36

8

0.75

0

0.083333

36

1

36

0.969697

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

270588e7f5d006e36163f42b0b07b2d5540b9db7

23

py

Python

__init__.py

unhideschool/uhql

b2194388ee73d7bb4d08ef73ced44c73ab598e6a

[ "MIT" ]

null

__init__.py

unhideschool/uhql

b2194388ee73d7bb4d08ef73ced44c73ab598e6a

[ "MIT" ]

null

__init__.py

unhideschool/uhql

b2194388ee73d7bb4d08ef73ced44c73ab598e6a

[ "MIT" ]

null

from .main import UHQL

11.5

22

0.782609

4

23

4.5

1

0

0.173913

23

1

23

0.947368

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

2724643156c88feb9a1ae170b29408a8844f7b96

1,110

py

Python

devel/getReqs.py

arrismo/tripods-testing

4ab9a7059df84cfd1f8984960900a3cf80b5c13c

[ "ECL-2.0" ]

2

2019-09-27T20:17:46.000Z

2020-06-24T22:15:52.000Z

devel/getReqs.py

arrismo/tripods-testing

4ab9a7059df84cfd1f8984960900a3cf80b5c13c

[ "ECL-2.0" ]

3

2021-03-31T19:53:37.000Z

2021-12-13T20:44:25.000Z

devel/getReqs.py

arrismo/tripods-testing

4ab9a7059df84cfd1f8984960900a3cf80b5c13c

[ "ECL-2.0" ]

1

2019-05-22T18:55:39.000Z

#!/usr/bin/env python3 import os from sys import platform os.system("pip install -r requirements.txt") os.system("python -m spacy download en") if platform == "linux": try: os.system("apt install enchant") except: print("--------------------------------------------------------------------------") print("Use your package manager to install 'enchant'") print("--------------------------------------------------------------------------") elif platform == "darwin": try: os.system("brew install enchant") except: print("--------------------------------------------------------------------------") print("brew is not installed; not able to install 'enchant'") print("--------------------------------------------------------------------------") elif platform == "win32": print("--------------------------------------------------------------------------") print("You need to install 'enchant' for the wordninja parsing to work correctly") print("--------------------------------------------------------------------------")

46.25

91

0.37027

84

1,110

4.892857

0.571429

0.170316

0.116788

0.121655

0.306569

0.160584

0

0.003175

0.148649

1,110

23

92

48.26087

0.431746

0.018919

0

0.454545

0

0.668199

0.408088

0

1

0

true

0

0.090909

0

0.090909

0.409091

0

null

0

1

0

1

null

0

1

0

1

0

5

2743225e81bc4a6f2fc8b69ad506bbde64e9ac42

72

py

Python

pylinux/common/default_settings.py

ruiruige/pylinux

a0a85e8928d7847c0596b21c9213bc7863037297

[ "MIT" ]

null

pylinux/common/default_settings.py

ruiruige/pylinux

a0a85e8928d7847c0596b21c9213bc7863037297

[ "MIT" ]

null

pylinux/common/default_settings.py

ruiruige/pylinux

a0a85e8928d7847c0596b21c9213bc7863037297

[ "MIT" ]

null

# /usr/bin/env python # coding=utf-8 def disable_iptables(): pass

10.285714

23

0.666667

11

72

4.272727

1

0

0.017241

0.194444

72

6

24

12

0.793103

0.444444

0

1

0.5

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

27510287083bc4d0727004136817af534a9834b7

60

py

Python

client/__init__.py

siroossarmadi/client-python

55f80c5461c679f96820eb5ab678c7ad102fd40d

[ "MIT" ]

1

2020-06-22T07:28:04.000Z

client/__init__.py

siroossarmadi/client-python

55f80c5461c679f96820eb5ab678c7ad102fd40d

[ "MIT" ]

null

client/__init__.py

siroossarmadi/client-python

55f80c5461c679f96820eb5ab678c7ad102fd40d

[ "MIT" ]

null

from .client import Client from .objects import Key, Object

20

32

0.8

9

60

5.333333

0.666667

0

0.15

60

2

33

30

0.941176

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

276f4a20a68897edca3f4bc68d21505d3fb0401a

293

py

Python

src/setting.py

Parham-sagharchi/rabbitmqCeleryDocker

262744ff3390e475774ee33b6576b65c6909e35a

[ "MIT" ]

null

src/setting.py

Parham-sagharchi/rabbitmqCeleryDocker

262744ff3390e475774ee33b6576b65c6909e35a

[ "MIT" ]

null

src/setting.py

Parham-sagharchi/rabbitmqCeleryDocker

262744ff3390e475774ee33b6576b65c6909e35a

[ "MIT" ]

null

import os from dotenv import load_dotenv, find_dotenv load_dotenv(find_dotenv()) RABBITMQ_DEFAULT_USER = os.environ.get("RABBITMQ_DEFAULT_USER") RABBITMQ_DEFAULT_PASS = os.environ.get("RABBITMQ_DEFAULT_PASS") TARGET_FILE = os.environ.get("TARGET_FILE") LOCAL_IP = os.environ.get("LOCAL_IP")

29.3

63

0.812287

45

293

4.933333

0.355556

0.27027

0.216216

0.18018

0.243243

0

0.075085

293

9

64

32.555556

0.819188

0

0.208191

0.143345

0

1

0

false

0.142857

0.285714

0

0.285714

0

null

1

0

1

0

null

0

1

0

5

279e223c0171a55ced9bd19491ac93ce64e75e2a

130

py

Python

nose2/tests/functional/support/scenario/tests_in_package/setup.py

deeplow/nose2

eb0394160e24afe760e984d93dbece8351dbae7a

[ "BSD-2-Clause" ]

637

2015-01-12T02:02:53.000Z

2022-03-30T19:47:48.000Z

nose2/tests/functional/support/scenario/tests_in_package/setup.py

deeplow/nose2

eb0394160e24afe760e984d93dbece8351dbae7a

[ "BSD-2-Clause" ]

276

2015-01-02T19:14:06.000Z

2022-03-18T04:03:08.000Z

nose2/tests/functional/support/scenario/tests_in_package/setup.py

deeplow/nose2

eb0394160e24afe760e984d93dbece8351dbae7a

[ "BSD-2-Clause" ]

127

2015-01-08T12:02:10.000Z

2022-01-10T20:52:29.000Z

from setuptools import find_packages, setup setup(name="pkg1", packages=find_packages(), test_suite="nose2.collector.collector")

32.5

84

0.807692

17

130

6

0.705882

0.235294

0

0.016529

0.069231

130

3

85

43.333333

0.826446

0

0.223077

0.192308

0

1

0

true

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

fd7230cf3156ba49da3cb29b6a47965b06eec934

292

py

Python

app/shared/exc.py

neurothrone/project-dot

20889075611bed645689a76a30257f96e4b55988

[ "MIT" ]

null

app/shared/exc.py

neurothrone/project-dot

20889075611bed645689a76a30257f96e4b55988

[ "MIT" ]

null

app/shared/exc.py

neurothrone/project-dot

20889075611bed645689a76a30257f96e4b55988

[ "MIT" ]

null

class UserRepositoryError(Exception): def __init__(self, message: str): raise Exception(message) class UserDoesNotExist(UserRepositoryError): pass class UsernameAlreadyTakenError(UserRepositoryError): pass class EmailAlreadyTakenError(UserRepositoryError): pass

18.25

53

0.773973

23

292

9.652174

0.565217

0.310811

0.252252

0

0.160959

292

15

54

19.466667

0.906122

0

0.333333

0

1

0.111111

false

0.333333

0

0.555556

0

1

0

null

1

0

null

0

1

0

1

0

5

fd9c073ae04681aa75bdbf4e44df9a9972672b10

146

py

Python

indexed_img.py

albert-tomanek/gan-indexed

f0c0c2ee003979ca51a6225576f243ed09294578

[ "MIT" ]

null

indexed_img.py

albert-tomanek/gan-indexed

f0c0c2ee003979ca51a6225576f243ed09294578

[ "MIT" ]

null

indexed_img.py

albert-tomanek/gan-indexed

f0c0c2ee003979ca51a6225576f243ed09294578

[ "MIT" ]

null

import numpy as np def onehot_to_indexed(imgs): return imgs.argmax(axis=-1) def idx_to_rgb(imgs_idx, palette): return palette[imgs_idx]

18.25

34

0.746575

25

146

4.12

0.64

0.135922

0

0.00813

0.157534

146

7

35

20.857143

0.829268

0

1

0.4

false

0

0.2

0.4

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

fdb44700835c9ba73321e1036b07884b2f7a0762

197

py

Python

users/admin.py

nhy17-thu/ImageProcessingWebsite

d90eaf115c870dd359bf5315f7b56f042270f31f

[ "MIT" ]

1

2021-03-29T12:40:39.000Z

users/admin.py

nhy17-thu/FinalProject_Upgrade

d90eaf115c870dd359bf5315f7b56f042270f31f

[ "MIT" ]

null

users/admin.py

nhy17-thu/FinalProject_Upgrade

d90eaf115c870dd359bf5315f7b56f042270f31f

[ "MIT" ]

1

2021-03-29T12:40:42.000Z

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

19.7

32

0.80203

30

197

5.266667

0.4

0.126582

0.21519

0.291139

0.35443

0

0.126904

197

10

33

19.7

0.918605

0.13198

0

0.333333

0

1

0

true

0

0.666667

0

0.666667

0

null

0

1

0

null

0

1

0

1

0

1

0

5

fdb759723eef36c09f6b84853130622fc8b04c24

71

py

Python

frictionless/step.py

kant/frictionless-py

09cc98e1966d6f97f4eecb47757f45f8a946c5e7

[ "MIT" ]

null

frictionless/step.py

kant/frictionless-py

09cc98e1966d6f97f4eecb47757f45f8a946c5e7

[ "MIT" ]

null

frictionless/step.py

kant/frictionless-py

09cc98e1966d6f97f4eecb47757f45f8a946c5e7

[ "MIT" ]

null

# TODO: rebase on API to support props validation class Step: pass

17.75

49

0.732394

11

71

4.727273

1

0

0.225352

71

3

50

23.666667

0.945455

0.661972

0

0.333333

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

fdbdf9ed0108be7b6ebfbc13dac64bd19cd8aa81

24,219

py

Python

src/align.py

lionking0000/recYnH

da1e4898c4148b399ed0f0a0848f5748679b7b98

[ "MIT" ]

2

2020-03-02T11:09:31.000Z

2020-03-12T13:48:40.000Z

src/align.py

lionking0000/recYnH

da1e4898c4148b399ed0f0a0848f5748679b7b98

[ "MIT" ]

null

src/align.py

lionking0000/recYnH

da1e4898c4148b399ed0f0a0848f5748679b7b98

[ "MIT" ]

null

#!/usr/bin/python import os import threading import fasta import subprocess VERBOSE = False # True NUM_THREADS = 1 # BLASTN_E_VALUE = "1e-8" def getCommandOutput(command, exedir = None): if exedir != None: os.chdir( exedir ) #child = os.popen(command) #data = child.read() task = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE) return task def run_cmd( cmd ): if VERBOSE: print cmd os.system( cmd ) def FastqToFasta( fastq, fasta ): ''' @M03766:53:000000000-B63MG:1:1101:12798:1849 1:N:0:4 AACGTAAAATGATATAAATATCAATATATTAAATTATATTTTGCATAAAAAACAGTCTACATAATACTGTAAATCACAACATATCCTGTCACT + AFGFHHHFHHFHH5FDGBGEGGBD55B4FG444BFG444FFF434B43433///?43BBD4B4?F44FGH44B443B33?/B1B?22?B1?12 ''' f = open( fastq ) fout = open( fasta, "w" ) for line in f.xreadlines(): print >> fout, ">%s" % line[:-1] print >> fout, f.next()[:-1] f.next() f.next() fout.close() f.close() def GenerateLastNts( fasta_file, length = 150 ): output_file = fasta_file output_file += ".-%d" % length fa = fasta.read_fasta( fasta_file ) lastXnt_dic = {} fout = open( output_file, "w" ) for id in fa: lastXnt = fa[id][-length:].upper() print >> fout, ">%s\n%s" % ( id, lastXnt ) #, lastXnt in lastXnt_dic lastXnt_dic[ lastXnt ] = id fout.close() return output_file def CheckBlastnDB( fasta_file, lastnt_length ): print "[ Checking BlastN Database ]", fasta_file, lastnt_length bChecked = True if os.path.exists( fasta_file + ".-%d.nhr" % lastnt_length ) == False: bChecked = False if os.path.exists( fasta_file + ".-%d.nin" % lastnt_length ) == False: bChecked = False if os.path.exists( fasta_file + ".-%d.nsq" % lastnt_length ) == False: bChecked = False return bChecked def MakeBlastnDB( fasta_file, lastnt_length ): print "[ Making BlastN Database ]", fasta_file, lastnt_length command = "makeblastdb -in %s.-%d -dbtype nucl" % ( fasta_file, lastnt_length ) run_cmd( command ) def BLASTN_NEW( fasta_file, lastnt_length, filepath1, filepath2, output_file ): #print ( fasta_file, filepath1, filepath2, output_file ) ''' parse blastn output and make ppi ''' ppi_cnt_dic = {} read1_cnt_dic = {} read2_cnt_dic = {} read1_dic = {} read2_dic = {} ''' ['M03766:33:000000000-AT3T3:1:1101:21081:6509', '113', 'NMI', '880', '36', '54S41M', 'IGF2', '452', '0', 'ATTTTGATCATATGACTGCTCTGTTTCATTTTTTTCAATAAACCCTTTACAATTAAGTGTTCTCTAGGTCAACCTCACATAGCATACTTTGAAGA', 'HHFFHHHHFDHHHGHHHHHHHHEHHHHHGGHFHGBHGHHGHHEG4GHHHHHHHHHHHHHFFFG3GEBGBFHHHHGHHHHHGHHFHFHGHHGHHHH', 'AS:i:82', 'XN:i:0', 'XM:i:0', 'XO:i:0', 'XG:i:0', 'NM:i:0', 'MD:Z:41', 'YS:i:174', 'YT:Z:DP'] ['M03766:33:000000000-AT3T3:1:1101:21081:6509', '177', 'IGF2', '452', '36', '5S87M', 'NMI', '880', '0', 'TCTCTAGGCCAAACGTCACCGTCCCCTGATTGCTCTACCCACCCAAGACCCCGCCCACGGGGGCGCCCCCCCAGAGATGGCCAGCAATCGGA', '/BBB/BBBFFFEFFFEEFAFB?FFFFBFFFFFFFEB;@-DFFFFFFD@FFFFEFFFFAFFFFDAFGCGGHGGHHHHHHHFFHHHGFEGFHHH', 'AS:i:174', 'XN:i:0', 'XM:i:0', 'XO:i:0', 'XG:i:0', 'NM:i:0', 'MD:Z:87', 'YS:i:82', 'YT:Z:DP']^C ''' #if len( sys.argv ) < 2: # print "python SAM.py ../data/roth2016_control_set_plus_control.fa output/2016-12-22_MiSeq/Friedrich/17543_S1.sam" # sys.exit(0) total_cnt = 0 #fa = fasta.read_fasta_file( sys.argv[2] ) #filepath1 = sys.argv[3] #filepath2 = sys.argv[4] fa = fasta.read_fasta_file( "%s.-%d" % ( fasta_file, lastnt_length ) ) #filepath1 = sys.argv[3] #filepath2 = sys.argv[4] PREV_QNAME = "" f = open( filepath1 ) read_cnt = 0 for line in f.xreadlines(): #if read_cnt % 10000 == 0: print read_cnt read_cnt += 1 ## READ 1 # @M03766:53:000000000-B63MG:1:1101:13982:1738 cask_p142 98.969 97 1 0 1 97 99 3 3.06e-50 184 [ QNAME, TARGET, PERCENT, LENGTH, MISMATCH, GAPOPEN, QSTART, QEND, SSTART, SEND, EVALUE, BITSCORE ] = line[:-1].split("\t") if QNAME == PREV_QNAME: continue if int( SEND ) > int ( SSTART ): continue # DEFAULT CONDITION. ==> 1968532 for 2016-12-22_MiSeq/Blastn/17543_S1.ppi.txt if int( QSTART ) > 10 or int( SSTART ) < 90: continue ## NEW CONDITION. 2017-10-13 => 1878423 #if int( QSTART ) >= 5 or int( SSTART ) <= 95: continue ## NEW3 CONDITION. 2017-10-21 #if int( QSTART ) + int( SSTART ) < 90: continue # NEW4 read1_dic[ QNAME ] = TARGET read1_cnt_dic[ TARGET ] = read1_cnt_dic.get( TARGET, 0 ) + 1 PREV_QNAME = QNAME f.close() PREV_QNAME = "" read_cnt = 0 f = open( filepath2 ) for line in f.xreadlines(): #if read_cnt % 10000 == 0: print read_cnt read_cnt += 1 ## READ 2 # @M03766:53:000000000-B63MG:1:1101:13982:1738 cask_p142 98.969 97 1 0 1 97 99 3 3.06e-50 184 [ QNAME, TARGET, PERCENT, LENGTH, MISMATCH, GAPOPEN, QSTART, QEND, SSTART, SEND, EVALUE, BITSCORE ] = line[:-1].split("\t") if QNAME == PREV_QNAME: continue if int( SEND ) > int ( SSTART ): continue # DEFAULT CONDITION. ==> 1968532 for 2016-12-22_MiSeq/Blastn/17543_S1.ppi.txt if int( QSTART ) > 10 or int( SSTART ) < 90: continue ## NEW CONDITION. 2017-10-13 #if int( QSTART ) >= 5 or int( SSTART ) <= 95: continue ## NEW3 CONDITION. 2017-10-21 #if int( QSTART ) + int( SSTART ) < 90: continue # NEW4 read2_dic[ QNAME ] = TARGET read2_cnt_dic[ TARGET ] = read2_cnt_dic.get( TARGET, 0 ) + 1 PREV_QNAME = QNAME f.close() for QNAME in read1_dic: TARGET2 = read2_dic.get( QNAME, "" ) if TARGET2 == "": continue TARGET1 = read1_dic[ QNAME ] ppi_cnt_dic[ ( TARGET1, TARGET2 ) ] = ppi_cnt_dic.get( ( TARGET1, TARGET2 ), 0 ) + 1 total_cnt += 1 f.close() id_list = fa.keys() id_list.sort() fout = open( output_file, "w" ) print >> fout, "# This file is generated by BLASTN_NEW" print >> fout, "DB(Read 1) \ AD(Read 2)\t"+"\t".join( id_list ) for id1 in id_list: output = id1 for id2 in id_list: cnt = ppi_cnt_dic.get( (id1, id2 ), 0 ) output += "\t%d" % cnt print >> fout, output fout.close() # print total_cnt # only for debug # output/$1/Blastn/$2.blastn fout1 = open( "%s.cnt.txt" % filepath1, "w" ) fout2 = open( "%s.cnt.txt" % filepath2, "w" ) for id in id_list: print >> fout1, "%s\t%d" % ( id, read1_cnt_dic.get( id, 0 ) ) print >> fout2, "%s\t%d" % ( id, read2_cnt_dic.get( id, 0 ) ) fout1.close() fout2.close() def align_subprocess( original_fasta, lastnt_length, fasta_file, fastq_file ): # convert fastq to fasta ( Temporarily now using fastq file generated in Friedrich folder; since it is the same fastq. But We need to change it to Blastn for general cases ) #cmd = "python main.py fastq_to_fasta %s > %s" % ( fastq, fasta ) #cmd = "main.py fastq_to_fasta %s > %s" % ( fastq, fasta ) #run_cmd( cmd ) FastqToFasta( fastq_file, fasta_file ) # blastn-short search (20) cmd = "blastn -num_threads %d -db %s.-%d -query %s -task blastn-short -outfmt 6 -max_target_seqs 5 -evalue %s > %s.blastn" % ( NUM_THREADS, original_fasta, lastnt_length, fasta_file, BLASTN_E_VALUE, fasta_file ) run_cmd( cmd ) def run_Y2H( args ): if args.fasta2 == None: args.fasta2 = args.fasta1 try: args.lastnt1 = int( args.lastnt1 ) args.lastnt2 = int( args.lastnt2 ) except: exit(0) # Blastn check if CheckBlastnDB( args.fasta1, args.lastnt1 ) == False: GenerateLastNts( args.fasta1, args.lastnt1 ) MakeBlastnDB( args.fasta1, args.lastnt1 ) if CheckBlastnDB( args.fasta2, args.lastnt2 ) == False: GenerateLastNts( args.fasta2, args.lastnt2 ) MakeBlastnDB( args.fasta2, args.lastnt2 ) [ dirname1, fq1 ] = os.path.split( args.fastq1 ) [ dirname2, fq2 ] = os.path.split( args.fastq2 ) if args.output == None: args.output = dirname1 #if os.path.exists( args.output ) == None: # sys.exit(0) # #args.output = dirname1 if fq1[-3:] == ".gz": fq1 = fq1[:-3] if fq2[-3:] == ".gz": fq2 = fq2[:-3] # make output folder if os.path.exists( args.output ) == False: os.makedirs( args.output ) temp_dir = os.path.join( args.output, "tmp" ) if os.path.exists( temp_dir ) == False: os.makedirs( temp_dir ) fq1 = os.path.join( temp_dir, fq1 ) fq2 = os.path.join( temp_dir, fq2 ) fa1 = fq1 + ".fa" fa2 = fq2 + ".fa" # remove 5' end adaptor sequences in both fastq file; remove reads if any of read does not have an adaptor sequence ( Temporarily now using fastq files in Friedrich folder which are already trimmed ) # -m 15 : Discard trimmed reads that are shorter than LENGTH. # --discard-untrimmed : Discard reads that do not contain the adapter. # # bait --CGCTGCAGGTCGACGGATCTTAGTTACTTACCACTTTGTACAAGAAAGCTGGGT # prey GCAGCTCGAGCTCGATGGATCTTAGTTACTTACCACTTTGTACAAGAAAGCTGGGT # *** ** **** **************************************** # #cmd = "cutadapt -g CGCTGCAGGTCGACGGATCTTAGTTACTTACCACTTTGTACAAGAAAGCTGGGT -G GCAGCTCGAGCTCGATGGATCTTAGTTACTTACCACTTTGTACAAGAAAGCTGGGT -o output/$1/$6/$2.fastq -p output/$1/$6/$3.fastq -m 15 --discard-untrimmed ./fastq/$2.fastq.gz ./fastq/$3.fastq.gz" print "[ Removing adaptor sequences ]", fq1, fq2 cmd = "cutadapt --quiet -g CGCTGCAGGTCGACGGATCTTAGTTACTTACCACTTTGTACAAGAAAGCTGGGT -G GCAGCTCGAGCTCGATGGATCTTAGTTACTTACCACTTTGTACAAGAAAGCTGGGT -o %s -p %s -m 15 --discard-untrimmed %s %s" % ( fq1, fq2, args.fastq1, args.fastq2 ) run_cmd( cmd ) ''' # convert fastq to fasta ( Temporarily now using fastq file generated in Friedrich folder; since it is the same fastq. But We need to change it to Blastn for general cases ) cmd = "python main.py fastq_to_fasta %s > %s" % ( fq1, fa1 ) run_cmd( cmd ) cmd = "python main.py fastq_to_fasta %s > %s" % ( fq2, fa2 ) run_cmd( cmd ) # blastn-short search cmd = "blastn -db %s -query %s -task blastn-short -outfmt 6 -max_target_seqs 20 -evalue 1e-8 > %s.blastn" % ( args.fasta1, fa1, fa1 ) run_cmd( cmd ) cmd = "blastn -db %s -query %s -task blastn-short -outfmt 6 -max_target_seqs 20 -evalue 1e-8 > %s.blastn" % ( args.fasta2, fa2, fa2 ) run_cmd( cmd ) ''' # multi-threading print "[ Mapping sequences into reference baits and preys sequences ]", fq1, fq2 th1 = threading.Thread(target=align_subprocess, args = ( args.fasta1, args.lastnt1, fa1, fq1 ) ) th1.start() th2 = threading.Thread(target=align_subprocess, args = ( args.fasta2, args.lastnt2, fa2, fq2 ) ) th2.start() th1.join() th2.join() # python parse blastn output and make ppi map # currently stringent case, no restriction for position cases # maybe ignoring orientation could be added in the future print "[ Making a pair matrix ]", os.path.join( args.output, args.name ) if args.relaxed == True: # no restriction for aligned position cmd = "main.py BLASTN_RELAXED %s.-%d %s.blastn %s.blastn > %s/%s" % ( args.fasta1, args.lastnt1, fa1, fa2, args.output, args.name ) run_cmd( cmd ) else: # very stringent case #cmd = "main.py BLASTN_NEW %s %s.blastn %s.blastn > %s/%s" % ( args.fasta1, fa1, fa2, args.output, args.name ) #run_cmd( cmd ) BLASTN_NEW( args.fasta1, args.lastnt1, "%s.blastn" % fa1, "%s.blastn" % fa2, "%s/%s" % ( args.output, args.name ) ) def ReadSequenceFile( filepath ): if filepath[-3:] == ".gz": cmd = "zcat %s" % filepath else: cmd = "cat %s" % filepath task = getCommandOutput( cmd ) return task def ReverseComplement(seq): #print seq seq_dict = {'A':'T','T':'A','G':'C','C':'G'} return "".join([seq_dict[base] for base in reversed(seq)]) def align_RNA_subprocess( original_fasta, lastnt_length, fasta_file, fastq_file ): RNAMapping( fastq_file, original_fasta, "%s.exact" % fasta_file ) # blastn-short search (20) #cmd = "blastn -num_threads %d -db %s.-%d -query %s -task blastn-short -outfmt 6 -max_target_seqs 5 -evalue %s > %s.blastn" % ( NUM_THREADS, original_fasta, lastnt_length, fasta_file, BLASTN_E_VALUE, fasta_file ) #run_cmd( cmd ) def BLASTN_RNA( fasta1, fasta2, exact_file1, blastn_file2, output_file ): ''' parse blastn output and make ppi ''' ppi_cnt_dic = {} read1_dic = {} read2_dic = {} ''' ['M03766:33:000000000-AT3T3:1:1101:21081:6509', '113', 'NMI', '880', '36', '54S41M', 'IGF2', '452', '0', 'ATTTTGATCATATGACTGCTCTGTTTCATTTTTTTCAATAAACCCTTTACAATTAAGTGTTCTCTAGGTCAACCTCACATAGCATACTTTGAAGA', 'HHFFHHHHFDHHHGHHHHHHHHEHHHHHGGHFHGBHGHHGHHEG4GHHHHHHHHHHHHHFFFG3GEBGBFHHHHGHHHHHGHHFHFHGHHGHHHH', 'AS:i:82', 'XN:i:0', 'XM:i:0', 'XO:i:0', 'XG:i:0', 'NM:i:0', 'MD:Z:41', 'YS:i:174', 'YT:Z:DP'] ['M03766:33:000000000-AT3T3:1:1101:21081:6509', '177', 'IGF2', '452', '36', '5S87M', 'NMI', '880', '0', 'TCTCTAGGCCAAACGTCACCGTCCCCTGATTGCTCTACCCACCCAAGACCCCGCCCACGGGGGCGCCCCCCCAGAGATGGCCAGCAATCGGA', '/BBB/BBBFFFEFFFEEFAFB?FFFFBFFFFFFFEB;@-DFFFFFFD@FFFFEFFFFAFFFFDAFGCGGHGGHHHHHHHFFHHHGFEGFHHH', 'AS:i:174', 'XN:i:0', 'XM:i:0', 'XO:i:0', 'XG:i:0', 'NM:i:0', 'MD:Z:87', 'YS:i:82', 'YT:Z:DP']^C ''' #if len( sys.argv ) < 2: # print "python SAM.py ../data/roth2016_control_set_plus_control.fa output/2016-12-22_MiSeq/Friedrich/17543_S1.sam" # sys.exit(0) total_cnt = 0 RNA_fa = fasta.read_fasta( fasta1 ) fa = fasta.read_fasta( fasta2 ) filepath1 = exact_file1 # sys.argv[3] # read1 = bait filepath2 = blastn_file2 #sys.argv[4] # read2 = prey # Read1 = bait = RNA part PREV_QNAME = "" f = open( filepath1 ) read_cnt = 0 for line in f.xreadlines(): #if read_cnt % 10000 == 0: print read_cnt read_cnt += 1 ## READ 1 # @M03766:53:000000000-B63MG:1:1101:13982:1738 cask_p142 98.969 97 1 0 1 97 99 3 3.06e-50 184 [ QNAME, TARGET, PERCENT, LENGTH, MISMATCH, GAPOPEN, QSTART, QEND, SSTART, SEND, EVALUE, BITSCORE ] = line[:-1].split("\t") if QNAME == PREV_QNAME: continue if int( SEND ) > int ( SSTART ): continue # don't allow both direction for RNA read1_dic[ QNAME ] = TARGET PREV_QNAME = QNAME f.close() # Read2 = prey = Protein part PREV_QNAME = "" read_cnt = 0 f = open( filepath2 ) for line in f.xreadlines(): #if read_cnt % 10000 == 0: print read_cnt read_cnt += 1 ## READ 2 # @M03766:53:000000000-B63MG:1:1101:13982:1738 cask_p142 98.969 97 1 0 1 97 99 3 3.06e-50 184 [ QNAME, TARGET, PERCENT, LENGTH, MISMATCH, GAPOPEN, QSTART, QEND, SSTART, SEND, EVALUE, BITSCORE ] = line[:-1].split("\t") if QNAME == PREV_QNAME: continue if int( SEND ) > int ( SSTART ): continue read2_dic[ QNAME ] = TARGET PREV_QNAME = QNAME f.close() for QNAME in read1_dic: TARGET2 = read2_dic.get( QNAME, "" ) if TARGET2 == "": continue TARGET1 = read1_dic[ QNAME ] ppi_cnt_dic[ ( TARGET1, TARGET2 ) ] = ppi_cnt_dic.get( ( TARGET1, TARGET2 ), 0 ) + 1 total_cnt += 1 f.close() RNA_id_list = RNA_fa.keys() RNA_id_list.sort() id_list = fa.keys() id_list.sort() fo = open( output_file, "w" ) print >> fo, "# This file is generated by BLASTN_RNA" print >> fo, "DB(Read 1) \ AD(Read 2)\t"+"\t".join( id_list ) for RNA_id1 in RNA_id_list: output = RNA_id1 for id2 in id_list: cnt = ppi_cnt_dic.get( (RNA_id1, id2 ), 0 ) output += "\t%d" % cnt print >> fo, output fo.close() def RNAMapping( fastq_file, fasta_file, output_file ): ''' Input format: fastq.gz, fa file Output format: Blast matrix format python library_checker.py RNA_mapping ../2017-10-19_MiSeq/S1_W_R1.fastq.gz ../data/KRP_set.fa > ./output/2017-10-19_MiSeq/Blastn/S1_W_R1.exact python library_checker.py RNA_mapping ../2017-10-19_MiSeq/S2_WH_R1.fastq.gz ../data/KRP_set.fa > ./output/2017-10-19_MiSeq/Blastn/S2_WH_R1.exact ''' #=============================== # Read Fasta file (RNA) and make motifs for exact search #=============================== # GCAGGCATGCAAGCTGCC #ggcagcttgcatgcctg #gctagaactagtggatccc # GCAGGCATGCAAGCTGCC TCCTCGTTCATGGGGAATAATTGCAATCCCCGATCCCCAT GGGATCCACTAGTTCTAGCCGG " prefix = "GCAGGCATGCAAGCTGCCCGGG" motifs = {} fa = fasta.read_fasta( fasta_file ) # RNA fasta file for id in fa: seq = fa[id].upper() rc_seq = ReverseComplement( seq ) motif = prefix + rc_seq[:50] # using only 50 nt for all cases (This can be chaged) motifs[ motif ] = id #=============================== # Read Fastq file (RNA, Read1) and Searching id with exact matching the pattern (motif) #=============================== fo = open( output_file, "w" ) cnt_dic = {} read1 = ReadSequenceFile( fastq_file ) for line in read1.stdout.xreadlines(): id = line.split()[0] seq = read1.stdout.next()[:-1] read1.stdout.next() read1.stdout.next() for motif in motifs: if seq[:len(motif)] == motif: print >> fo, "%s\t%s\t100.00\t%d\t0\t0\t1\t50\t50\t1\t1e-10\t100.0" % ( id, motifs[motif], len(motif) ) # @M03766:67:000000000-BGPDM:1:1101:14936:1730 1NYB_A:B 100.00 24 0 0 5 28 24 1 9e-10 48.1 # @M03766:67:000000000-BGPDM:1:1101:16561:1732 2PJP_A:B 100.00 23 0 0 5 27 23 1 3e-09 46.1 cnt_dic[ id ] = cnt_dic.get( id, 0 ) + 1 break fo.close() read1.stdout.close() read1.kill() def run_Y3H( args ): if args.fasta2 == None: # temporarily allow to have one RNA+Protein combined fasta args.fasta2 = args.fasta1 try: args.lastnt1 = int( args.lastnt1 ) args.lastnt2 = int( args.lastnt2 ) except: exit(0) # Blastn check #if CheckBlastnDB( args.fasta1, args.lastnt1 ) == False: # GenerateLastNts( args.fasta1, args.lastnt1 ) # MakeBlastnDB( args.fasta1, args.lastnt1 ) if CheckBlastnDB( args.fasta2, args.lastnt2 ) == False: GenerateLastNts( args.fasta2, args.lastnt2 ) MakeBlastnDB( args.fasta2, args.lastnt2 ) [ dirname1, fq1 ] = os.path.split( args.fastq1 ) [ dirname2, fq2 ] = os.path.split( args.fastq2 ) if args.output == None: args.output = dirname1 #if os.path.exists( args.output ) == None: # sys.exit(0) # #args.output = dirname1 if fq1[-3:] == ".gz": fq1 = fq1[:-3] if fq2[-3:] == ".gz": fq2 = fq2[:-3] # make output folder if os.path.exists( args.output ) == False: os.makedirs( args.output ) temp_dir = os.path.join( args.output, "tmp" ) if os.path.exists( temp_dir ) == False: os.makedirs( temp_dir ) fq1 = os.path.join( temp_dir, fq1 ) fq2 = os.path.join( temp_dir, fq2 ) fa1 = fq1 + ".fa" fa2 = fq2 + ".fa" # remove 5' end adaptor sequences in both fastq file; remove reads if any of read does not have an adaptor sequence ( Temporarily now using fastq files in Friedrich folder which are already trimmed ) # -m 15 : Discard trimmed reads that are shorter than LENGTH. # --discard-untrimmed : Discard reads that do not contain the adapter. # # bait --CGCTGCAGGTCGACGGATCTTAGTTACTTACCACTTTGTACAAGAAAGCTGGGT # prey GCAGCTCGAGCTCGATGGATCTTAGTTACTTACCACTTTGTACAAGAAAGCTGGGT # *** ** **** **************************************** # #cmd = "cutadapt -g CGCTGCAGGTCGACGGATCTTAGTTACTTACCACTTTGTACAAGAAAGCTGGGT -G GCAGCTCGAGCTCGATGGATCTTAGTTACTTACCACTTTGTACAAGAAAGCTGGGT -o output/$1/$6/$2.fastq -p output/$1/$6/$3.fastq -m 15 --discard-untrimmed ./fastq/$2.fastq.gz ./fastq/$3.fastq.gz" print "[ Removing adaptor sequences ]", fq1, fq2 #cmd = "cutadapt --quiet -g CGCTGCAGGTCGACGGATCTTAGTTACTTACCACTTTGTACAAGAAAGCTGGGT -G GCAGCTCGAGCTCGATGGATCTTAGTTACTTACCACTTTGTACAAGAAAGCTGGGT -o %s -p %s -m 15 --discard-untrimmed %s %s" % ( fq1, fq2, args.fastq1, args.fastq2 ) cmd = "cutadapt --quiet -g GCAGGCATGCAAGCTGCC -G GCAGCTCGAGCTCGATGGATCTTAGTTACTTACCACTTTGTACAAGAAAGCTGGGT -o %s -p %s -m 15 --discard-untrimmed %s %s" % ( fq1, fq2, args.fastq1, args.fastq2 ) run_cmd( cmd ) # multi-threading print "[ Mapping sequences into reference baits and preys sequences ]", fq1, fq2 th1 = threading.Thread(target=align_RNA_subprocess, args = ( args.fasta1, args.lastnt1, fa1, args.fastq1 ) ) th1.start() th2 = threading.Thread(target=align_subprocess, args = ( args.fasta2, args.lastnt2, fa2, fq2 ) ) th2.start() th1.join() th2.join() # python parse blastn output and make ppi map # currently stringent case, no restriction for position cases # maybe ignoring orientation could be added in the future print "[ Making a pair matrix ]", os.path.join( args.output, args.name ) exact_file1 = "%s.exact" % fa1 blastn_file2 = "%s.blastn" % fa2 output_file = os.path.join( args.output, args.name ) # "%s/%s.exact.rpi.txt" % ( args.output, args.name ) BLASTN_RNA( args.fasta1, args.fasta2, exact_file1, blastn_file2, output_file ) #print cmd #run_cmd( cmd ) #if args.relaxed == True: # # no restriction for aligned position # cmd = "main.py BLASTN_RELAXED %s.-%d %s.exact %s.blastn > %s/%s" % ( args.fasta1, args.lastnt1, fq1, fa2, args.output, args.name ) # run_cmd( cmd ) #else: # # very stringent case # #cmd = "main.py BLASTN_NEW %s %s.blastn %s.blastn > %s/%s" % ( args.fasta1, fa1, fa2, args.output, args.name ) # #run_cmd( cmd ) # BLASTN_NEW( args.fasta1, args.lastnt1, "%s.exact" % fq1, "%s.blastn" % fa2, "%s/%s" % ( args.output, args.name ) ) ''' mkdir output/2017-08-24_MiSeq mkdir output/2017-08-24_MiSeq/Blastn cutadapt -g GCAGGCATGCAAGCTGCC -G GCAGCTCGAGCTCGATGGATCTTAGTTACTTACCACTTTGTACAAGAAAGCTGGGT -o output/2017-08-24_MiSeq/Blastn/S1_W_R1.fastq -p output/2017-08-24_MiSeq/Blastn/S1_W_R2.fastq -m 15 --discard-untrimmed ../2017-08-24_MiSeq/S1_W_R1.fastq.gz ../2017-08-24_MiSeq/S1_W_R2.fastq.gz python main.py fastq_to_fasta output/2017-08-24_MiSeq/Blastn/S1_W_R1.fastq > output/2017-08-24_MiSeq/Blastn/S1_W_R1.fa python main.py fastq_to_fasta output/2017-08-24_MiSeq/Blastn/S1_W_R2.fastq > output/2017-08-24_MiSeq/Blastn/S1_W_R2.fa blastn -db ../data/1st_set.-100.fa -query output/2017-08-24_MiSeq/Blastn/S1_W_R1.fa -task blastn-short -outfmt 6 -max_target_seqs 20 -evalue 1e-8 > output/2017-08-24_MiSeq/Blastn/S1_W_R1.blastn blastn -db ../data/1st_set.-100.fa -query output/2017-08-24_MiSeq/Blastn/S1_W_R2.fa -task blastn-short -outfmt 6 -max_target_seqs 20 -evalue 1e-8 > output/2017-08-24_MiSeq/Blastn/S1_W_R2.blastn python main.py BLASTN ../data/1st_set.-100.fa output/2017-08-24_MiSeq/Blastn/S1_W_R1.blastn output/2017-08-24_MiSeq/Blastn/S1_W_R2.blastn > output/2017-08-24_MiSeq/Blastn/S1_W.rpi.txt python library_checker.py RNA_mapping ../2017-08-24_MiSeq/S1_W_R1.fastq.gz ../data/2nd_RNA_set.fa > ./output/2017-08-24_MiSeq/Blastn/S1_W_R1.exact python main.py BLASTN ../data/1st_set.-100.fa output/2017-08-24_MiSeq/Blastn/S1_W_R1.exact output/2017-08-24_MiSeq/Blastn/S1_W_R2.blastn > output/2017-08-24_MiSeq/Blastn/S1_W.exact.rpi.txt ''' def run( args ): if args.program == "Y2H": run_Y2H( args ) if args.program == "Y3H": run_Y3H( args )

43.559353

401

0.623147

3,285

24,219

4.478539

0.130289

0.017129

0.011963

0.01944

0.788744

0.750816

0.728725

0.709353

0.693855

0.67428

0

0.081646

0.235352

24,219

555

402

43.637838

0.712781

0.276353

0

0.588629

0

0.016722

0.096238

0.018809

0

null

0

0.013378

null

0.070234

0

null

0

1

0

1

0

null

0

1

0

5

fdc764c9262b9309391b35a77297cf75c73b6b04

10

py

Python

t.py

guninara/test

610bb861ce904731aff8e51df39ee87dab10a693

[ "MIT" ]

null

t.py

guninara/test

610bb861ce904731aff8e51df39ee87dab10a693

[ "MIT" ]

null

t.py

guninara/test

610bb861ce904731aff8e51df39ee87dab10a693

[ "MIT" ]

null

print("A")

10

0.6

2

10

3

1

0

10

1

10

0.6

0

0.090909

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

fdd0a2914fcffa437ac9c8412837f6437b1328d0

82

py

Python

wire/__init__.py

cheetahbyte/wire

f34a41804770968313a8a16a1d9794b7a0abc7dc

[ "MIT" ]

5

2021-09-01T17:34:03.000Z

2021-12-26T09:41:18.000Z

wire/__init__.py

cheetahbyte/wire

f34a41804770968313a8a16a1d9794b7a0abc7dc

[ "MIT" ]

4

2021-12-26T14:53:09.000Z

2022-01-02T12:50:43.000Z

wire/__init__.py

cheetahbyte/wire

f34a41804770968313a8a16a1d9794b7a0abc7dc

[ "MIT" ]

null

__version__ = '0.3.1.1' from wire.app import Wire from wire.request import Request

27.333333

32

0.780488

15

82

4

0.6

0.266667

0

0.055556

0.121951

82

3

32

27.333333

0.777778

0

0.084337

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

fdf64934d035a3f28df76c7f79657d781ba140e2

39

py

Python

python_scrappers/scrapper_1.py

TareqMonwer/BookList

66b9d0881e90ed2b2303e87a72e7a3a09bc703c2

[ "MIT" ]

null

python_scrappers/scrapper_1.py

TareqMonwer/BookList

66b9d0881e90ed2b2303e87a72e7a3a09bc703c2

[ "MIT" ]

null

python_scrappers/scrapper_1.py

TareqMonwer/BookList

66b9d0881e90ed2b2303e87a72e7a3a09bc703c2

[ "MIT" ]

null

# python3.8 # A program to scrap books

13

26

0.717949

7

39

4

1

0

0.064516

0.205128

39

2

27

19.5

0.83871

0.871795

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

e3499b7010c51183fef32f47ce4872e0531b3081

25

py

Python

hello_world.py

nantthet739/profiles-rest-api-new

c449108360ed7a39f8ffcefa38b32bca57d732c2

[ "MIT" ]

null

hello_world.py

nantthet739/profiles-rest-api-new

c449108360ed7a39f8ffcefa38b32bca57d732c2

[ "MIT" ]

null

hello_world.py

nantthet739/profiles-rest-api-new

c449108360ed7a39f8ffcefa38b32bca57d732c2

[ "MIT" ]

null

print('Hello world 111')

12.5

24

0.72

4

25

4.5

1

0

0.136364

0.12

25

1

25

0.681818

0

0.6

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

e349b6571945ec6bfa56324d61a3791669b65a6d

94

py

Python

app/settings.py

4linux/HandsOn-Flask-App

f54482a46b41d6a156b232c6cb98399de559e063

[ "MIT" ]

6

2021-06-29T20:37:13.000Z

2021-06-30T11:16:05.000Z

app/settings.py

4linux/HandsOn-Flask-App

f54482a46b41d6a156b232c6cb98399de559e063

[ "MIT" ]

null

app/settings.py

4linux/HandsOn-Flask-App

f54482a46b41d6a156b232c6cb98399de559e063

[ "MIT" ]

9

2021-06-29T20:36:53.000Z

2022-03-17T12:27:18.000Z

import os MONGO_URI = os.environ.get("MONGO_URI") SECRET_KEY = os.environ.get("SECRET_KEY")

15.666667

41

0.744681

16

94

4.125

0.5

0.242424

0.363636

0

0.106383

94

5

42

18.8

0.785714

0

0.202128

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

5

4735cb8288f5444ca3b56cf5725365a9bd0c705a

246

py

Python

test/nose_integration_tests/dummy_first_level_pkg_one_tests/dummy_second_level_pkg_A_tests/dummy_test_b.py

Points/teamcity-python

58dd0e9d83fea92f9212f2cadaaaeaefd1deb68e

[ "Apache-2.0" ]

1

2018-08-14T16:29:57.000Z

test/nose_integration_tests/dummy_first_level_pkg_one_tests/dummy_second_level_pkg_A_tests/dummy_test_b.py

denisenkom/teamcity-python

25d0008596cfc7b895f367d36de5dd95b6722b4c

[ "Apache-2.0" ]

null

test/nose_integration_tests/dummy_first_level_pkg_one_tests/dummy_second_level_pkg_A_tests/dummy_test_b.py

denisenkom/teamcity-python

25d0008596cfc7b895f367d36de5dd95b6722b4c

[ "Apache-2.0" ]

null

from nose.plugins.attrib import attr @attr('demo_smoke', 'smoke', 'known_good') def test_dummy_known_good_with_assertion_pass(): """ test_dummy_known_good_with_assertion_pass I'd like to buy the world a coke! """ assert True

24.6

48

0.727642

38

246

4.342105

0.710526

0.163636

0.169697

0.218182

0.424242

0

0.174797

246

10

49

24.6

0.812808

0.304878

0

0.164474

0

0.5

1

0.25

true

0.25

0

0.5

0

null

0

1

0

null

0

1

0

1

0

5

4750ffb501af07361e962595a5fb94c2dc2694b6

165

py

Python

src/geneflow/data/migrations/20180727-01.py

CDCgov/geneflow

a2ef128efa0c60fa96b622be757e0695fc9a68d4

[ "Apache-2.0" ]

7

2019-04-11T03:50:51.000Z

2020-03-27T15:59:04.000Z

src/geneflow/data/migrations/20180727-01.py

CDCgov/geneflow

a2ef128efa0c60fa96b622be757e0695fc9a68d4

[ "Apache-2.0" ]

1

2019-05-06T14:18:42.000Z

2019-05-08T22:06:12.000Z

src/geneflow/data/migrations/20180727-01.py

CDCgov/geneflow

a2ef128efa0c60fa96b622be757e0695fc9a68d4

[ "Apache-2.0" ]

6

2019-04-10T20:25:27.000Z

2021-12-16T15:59:59.000Z

# migration 20180727-01 # # Add notifications field to job table. # from yoyo import step step("ALTER TABLE job ADD COLUMN notifications TEXT NOT NULL DEFAULT ''")

20.625

73

0.757576

24

165

5.208333

0.791667

0

0.072993

0.169697

165

7

74

23.571429

0.839416

0.357576

0

0.643564

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

4768391a7f21da5188bf7a452d527344c3300b34

35

py

Python

launch.py

fybmain/TiebaAutoSign

8390d9e69efff1eb851dd8c7a0f4ff1ce450be53

[ "MIT" ]

2

2019-01-31T01:38:20.000Z

2019-01-31T01:57:56.000Z

launch.py

fybmain/TiebaAutoSign

8390d9e69efff1eb851dd8c7a0f4ff1ce450be53

[ "MIT" ]

null

launch.py

fybmain/TiebaAutoSign

8390d9e69efff1eb851dd8c7a0f4ff1ce450be53

[ "MIT" ]

null

from src import * do_auto_task()

7

17

0.714286

6

35

3.833333

1

0

0.2

35

4

18

8.75

0.821429

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

47b0834498c4827e9805ef63a2fa8e0b661f3e4e

165

py

Python

src/compath_resources/__init__.py

ComPath/compath-resources

e8da7b511c2b558b8fd0bf38888b512008ac1ba3

[ "MIT" ]

3

2020-11-24T18:43:59.000Z

2021-06-04T20:52:10.000Z

src/compath_resources/__init__.py

ComPath/compath-resources

e8da7b511c2b558b8fd0bf38888b512008ac1ba3

[ "MIT" ]

13

2020-03-28T13:36:32.000Z

2021-01-19T15:00:07.000Z

src/compath_resources/__init__.py

ComPath/resources

e8da7b511c2b558b8fd0bf38888b512008ac1ba3

[ "MIT" ]

1

2021-12-01T09:49:59.000Z

# -*- coding: utf-8 -*- """Utilities for ComPath's resources.""" from .exporters import get_bel, get_rdf # noqa: F401 from .resources import get_df # noqa: F401

23.571429

53

0.684848

24

165

4.583333

0.708333

0.163636

0

0.051095

0.169697

165

6

54

27.5

0.751825

0.478788

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

47c0b2826749260d43d14c91add0fd44a5f40826

90

py

Python

dataset_builder/exceptions/exceptions.py

statisticsnorway/microdata-dataset-builder

c58fe5804f146290e1d523536729f1a5b1ac2c73

[ "Apache-2.0" ]

null

dataset_builder/exceptions/exceptions.py

statisticsnorway/microdata-dataset-builder

c58fe5804f146290e1d523536729f1a5b1ac2c73

[ "Apache-2.0" ]

3

2022-01-18T15:21:49.000Z

2022-03-07T13:49:03.000Z

dataset_builder/exceptions/exceptions.py

statisticsnorway/microdata-dataset-builder

c58fe5804f146290e1d523536729f1a5b1ac2c73

[ "Apache-2.0" ]

null

class BuilderStepError(Exception): pass class HttpAdapterError(Exception): pass

12.857143

34

0.755556

8

90

8.5

0.625

0.382353

0

0.177778

90

6

35

15

0.918919

0

0.5

0

1

0

true

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

47ccb925d78b38e647828c16c5a53e2bca0e7c99

21

py

Python

tests/tests.py

ryderdamen/objectdaddy

57f9fdca2b0fd35114474ead1faf736ace092562

[ "MIT" ]

2

2021-07-06T21:24:25.000Z

2021-07-11T23:14:46.000Z

tests/tests.py

ryderdamen/objectdaddy

57f9fdca2b0fd35114474ead1faf736ace092562

[ "MIT" ]

null

tests/tests.py

ryderdamen/objectdaddy

57f9fdca2b0fd35114474ead1faf736ace092562

[ "MIT" ]

null

# lol there are none

10.5

20

0.714286

4

21

3.75

1

0

0.238095

21

1

21

0.9375

0.857143

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

47d0a46d230375d40c2fc2dbd498bc6f2297ecf6

88

py

Python

utils/nn/modules/__init__.py

roshanr11/Research-DCST

225461e6ffd7ca5a48b9688946eb36b2d98f358e

[ "MIT" ]

5

2020-04-29T08:48:53.000Z

2020-12-23T10:11:39.000Z

utils/nn/modules/__init__.py

roshanr11/Research-DCST

225461e6ffd7ca5a48b9688946eb36b2d98f358e

[ "MIT" ]

2

2020-01-11T08:31:06.000Z

2021-06-09T12:41:32.000Z

utils/nn/modules/__init__.py

roshanr11/Research-DCST

225461e6ffd7ca5a48b9688946eb36b2d98f358e

[ "MIT" ]

5

2019-11-20T02:49:03.000Z

2020-09-17T15:27:34.000Z

from .crf import * from .sparse import * from .attention import * from .linear import *

17.6

24

0.727273

12

88

5.333333

0.5

0.46875

0

0.181818

88

4

25

22

0.888889

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

47fe6e2dd0d399fa7a2a3cd24581d614384c310c

1,571

py

Python

tests/test_ec2.py

fdmsantos/troposphere

c372dc300e579989cb44849c5f4dd6cb97f90d78

[ "BSD-2-Clause" ]

1

2019-05-27T21:22:51.000Z

tests/test_ec2.py

fdmsantos/troposphere

c372dc300e579989cb44849c5f4dd6cb97f90d78

[ "BSD-2-Clause" ]

1

2021-06-25T15:20:46.000Z

tests/test_ec2.py

fdmsantos/troposphere

c372dc300e579989cb44849c5f4dd6cb97f90d78

[ "BSD-2-Clause" ]

2

2018-05-05T18:40:43.000Z

2018-09-19T04:17:05.000Z

import unittest import troposphere.ec2 as ec2 class TestEC2(unittest.TestCase): def test_securitygroupegress(self): egress = ec2.SecurityGroupEgress( 'egress', ToPort='80', FromPort='80', IpProtocol="tcp", GroupId="id", CidrIp="0.0.0.0/0", ) egress.to_dict() egress = ec2.SecurityGroupEgress( 'egress', ToPort='80', FromPort='80', IpProtocol="tcp", GroupId="id", DestinationPrefixListId='id', ) egress.to_dict() egress = ec2.SecurityGroupEgress( 'egress', ToPort='80', FromPort='80', IpProtocol="tcp", GroupId="id", DestinationSecurityGroupId='id', ) egress.to_dict() egress = ec2.SecurityGroupEgress( 'egress', ToPort='80', FromPort='80', IpProtocol="tcp", GroupId="id", CidrIp="0.0.0.0/0", DestinationPrefixListId='id', ) with self.assertRaises(ValueError): egress.to_dict() egress = ec2.SecurityGroupEgress( 'egress', ToPort='80', FromPort='80', IpProtocol="tcp", GroupId="id", CidrIp="0.0.0.0/0", DestinationPrefixListId='id', DestinationSecurityGroupId='id', ) with self.assertRaises(ValueError): egress.to_dict()

24.936508

44

0.481859

126

1,571

5.960317

0.230159

0.031957

0.035952

0.031957

0.770972

0.672437

0

0.045407

0.397199

1,571

62

45

25.33871

0.747624

0

0.833333

0

0.071292

0

0.037037

1

0.018519

false

0

0.037037

0

0.074074

0

null

0

1

0

1

0

1

0

null

0

5

9a0173065c684bfbe726ed11fe7a7b1eebdd1cfd

245

py

Python

core/sdfrenderer/__init__.py

hyunynim/DIST-Renderer

4717ee8cea77f4f413b61f380a893c6800d0bde5

[ "MIT" ]

176

2020-06-11T19:16:33.000Z

2022-03-29T01:38:28.000Z

core/sdfrenderer/__init__.py

hyunynim/DIST-Renderer

4717ee8cea77f4f413b61f380a893c6800d0bde5

[ "MIT" ]

6

2020-06-26T05:26:56.000Z

2021-11-10T07:31:21.000Z

core/sdfrenderer/__init__.py

hyunynim/DIST-Renderer

4717ee8cea77f4f413b61f380a893c6800d0bde5

[ "MIT" ]

23

2020-06-11T21:43:03.000Z

2022-02-18T00:16:16.000Z

import os, sys sys.path.append(os.path.dirname(os.path.abspath(__file__))) from renderer import SDFRenderer from renderer_rgb import SDFRenderer_color from renderer_warp import SDFRenderer_warp from renderer_deepsdf import SDFRenderer_deepsdf

30.625

59

0.857143

35

245

5.714286

0.428571

0.24

0

0.089796

245

7

60

35

0.896861

0

1

0

true

0

0.833333

0

0.833333

0

null

1

0

1

0

null

0

1

0

1

0

1

0

5

7beb4f1b0eabd08673d0d2c931a63947bf8de3a2

34

py

Python

pystocket/__init__.py

EvilTeliportist/pystocket

d63e998109b26f1c31ba4232f2e9343f0bc8c6fb

[ "MIT" ]

null

pystocket/__init__.py

EvilTeliportist/pystocket

d63e998109b26f1c31ba4232f2e9343f0bc8c6fb

[ "MIT" ]

null

pystocket/__init__.py

EvilTeliportist/pystocket

d63e998109b26f1c31ba4232f2e9343f0bc8c6fb

[ "MIT" ]

null

from pystocket.pystocket import *

17

33

0.823529

4

34

7

0.75

0

0.117647

34

1

34

0.933333

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

7bfaadb388651e5073785fd639390c28f78aca7f

5,889

py

Python

log.py

Iangecko/arbys

5b2e4b4e511d5721d6a1cc447b8fbf9be43fa909

[ "MIT" ]

9

2018-10-01T05:57:17.000Z

2019-11-10T22:46:26.000Z

log.py

Iangecko/arbys

5b2e4b4e511d5721d6a1cc447b8fbf9be43fa909

[ "MIT" ]

7

2018-09-25T14:30:24.000Z

2019-07-26T02:30:15.000Z

log.py

Iangecko/arbys

5b2e4b4e511d5721d6a1cc447b8fbf9be43fa909

[ "MIT" ]

8

2018-09-25T21:06:26.000Z

2019-07-24T17:15:56.000Z

# Custom logging module for the bot because I don't like Python's built in logging module. # Why I don't like it is not for a comment line in a file, though, so ask me if you want to know why. import traceback import time import sys import config import os from datetime import datetime logfile = "logs/" + time.strftime("%Y-%m-") + config.logfile logfile_encoding = config.logfile_encoding try: os.mkdir("logs/") except FileExistsError: pass def now(): return datetime.utcnow().__str__() def debug(message: str, ts: datetime = None, include_exception: bool = False) -> None: try: timestamp = now() if ts is None else ts.__str__() if include_exception and (sys.exc_info()[2] is not None): message += "\n" + traceback.format_exc() if config.file_loglevel >= 6: try: with open(logfile, "a", encoding=logfile_encoding) as lf: lf.write(f"[{timestamp}] [D] {message}\n") except: pass if config.terminal_loglevel >= 6: sys.stdout.write(f"[{timestamp}] [D] {message}\n") sys.stdout.flush() except Exception as e: # There are some cases that we could end up having a problem writing out logged information. # It's once happened to me where PyCharm crashed but disconnected my running bots, causing the stdio pipes to # break and any stdio failed, returning an exception back to Discord for every single message the bot received. # This is obviously *kinda* bad, but in reality the only cause for a broken pipe or a unwritable logfile is # because of user error, so if the user broke the log system it's their fault. We tried, but you screwed up and # we have no way to tell you, so we're simply going to ignore the log messages. You're on your own without them # because it's your fault. Sorry. pass def msg(message: str, ts: datetime = None, include_exception: bool = False) -> None: try: timestamp = now() if ts is None else ts.__str__() if include_exception and (sys.exc_info()[2] is not None): message += "\n"+traceback.format_exc() if config.file_loglevel >= 5: try: with open(logfile, "a", encoding=logfile_encoding) as lf: lf.write(f"[{timestamp}] [M] {message}\n") except: pass if config.terminal_loglevel >= 5: sys.stdout.write(f"[{timestamp}] [M] {message}\n") sys.stdout.flush() except Exception as e: # See comment in debug() function here pass def info(message: str, ts: datetime = None, include_exception: bool = False) -> None: try: timestamp = now() if ts is None else ts.__str__() if include_exception and (sys.exc_info()[2] is not None): message += "\n" + traceback.format_exc() if config.file_loglevel >= 4: try: with open(logfile, "a", encoding=logfile_encoding) as lf: lf.write(f"[{timestamp}] [I] {message}\n") except: pass if config.terminal_loglevel >= 4: sys.stdout.write(f"[{timestamp}] [I] {message}\n") sys.stdout.flush() except Exception as e: # See comment in debug() function here pass def warn(message: str, ts: datetime = None, include_exception: bool = False) -> None: try: timestamp = now() if ts is None else ts.__str__() if include_exception and (sys.exc_info()[2] is not None): message += "\n" + traceback.format_exc() if config.file_loglevel >= 3: try: with open(logfile, "a", encoding=logfile_encoding) as lf: lf.write(f"[{timestamp}] [W] {message}\n") except: pass if config.terminal_loglevel >= 3: if config.exc_to_stderr: sys.stderr.write(f"[{timestamp}] [W] {message}\n") sys.stderr.flush() else: sys.stdout.write(f"[{timestamp}] [W] {message}\n") sys.stdout.flush() except Exception as e: # See comment in debug() function here pass warning = warn def error(message: str, ts: datetime = None, include_exception: bool = False) -> None: try: timestamp = now() if ts is None else ts.__str__() if include_exception and (sys.exc_info()[2] is not None): message += "\n" + traceback.format_exc() if config.file_loglevel >= 2: try: with open(logfile, "a", encoding=logfile_encoding) as lf: lf.write(f"[[{timestamp}]] [E] {message}\n") except: pass if config.terminal_loglevel >= 2: if config.exc_to_stderr: sys.stderr.write(f"[{timestamp}] [E] {message}\n") sys.stderr.flush() else: sys.stdout.write(f"[[{timestamp}]] [E] {message}\n") sys.stdout.flush() except Exception as e: # See comment in debug() function here pass def critical(message: str, ts: datetime = None, include_exception: bool = False) -> None: try: timestamp = now() if ts is None else ts.__str__() if include_exception and (sys.exc_info()[2] is not None): message += "\n" + traceback.format_exc() if config.file_loglevel >= 1: try: with open(logfile, "a", encoding=logfile_encoding) as lf: lf.write(f"[{timestamp}] [C] {message}\n") except: pass if config.terminal_loglevel >= 1: if config.exc_to_stderr: sys.stderr.write(f"[{timestamp}] [C] {message}\n") sys.stderr.flush() else: sys.stdout.write(f"[{timestamp}] [C] {message}\n") sys.stdout.flush() except Exception as e: # See comment in debug() function here pass crit = critical def fatal(message: str, ts: datetime = None, include_exception: bool = False) -> None: try: timestamp = now() if ts is None else ts.__str__() if include_exception and (sys.exc_info()[2] is not None): message += "\n"+traceback.format_exc() if config.file_loglevel >= 0: try: with open(logfile, "a", encoding=logfile_encoding) as lf: lf.write(f"[{timestamp}] [F] {message}\n") except: pass if config.terminal_loglevel >= 0: if config.exc_to_stderr: sys.stderr.write(f"[{timestamp}] [F] {message}\n") sys.stderr.flush() else: sys.stdout.write(f"[{timestamp}] [F] {message}\n") sys.stdout.flush() except Exception as e: # See comment in debug() function here pass

32.005435

113

0.674478

897

5,889

4.326644

0.19621

0.051533

0.06957

0.036073

0.747745

0.740788

0.726617

0.724556

0.648802

0.638495

0

0.004403

0.190015

5,889

183

114

32.180328

0.809224

0.182883

0

0.631944

0

0.117389

0

1

0.055556

false

0.104167

0.041667

0.006944

0.104167

0

null

0

1

0

1

0

null

0

1

0

5

7bfdec8c6c8621b998decffda1c965fe9890792a

16,192

py

Python

src/utils/utils_load_data.py

disiji/fc_differentiable

65d6cbb3e0e41862744366c045fa06b6dc2d99a5

[ "MIT" ]

2

2019-11-23T03:14:33.000Z

2022-01-18T20:00:27.000Z

src/utils/utils_load_data.py

disiji/fc_differentiable

65d6cbb3e0e41862744366c045fa06b6dc2d99a5

[ "MIT" ]

null

src/utils/utils_load_data.py

disiji/fc_differentiable

65d6cbb3e0e41862744366c045fa06b6dc2d99a5

[ "MIT" ]

2

2019-04-09T00:18:44.000Z

2022-01-01T10:43:25.000Z

from __future__ import division import os import pickle import numpy as np import pandas as pd import fcsparser def load_cll_data_1p(diagnosis_filename, cytometry_dir, features): X, y = [], [] diagnosis_df = pd.read_csv(diagnosis_filename, sep='\t') for filename in sorted(os.listdir(cytometry_dir)): sample_id = int(filename.split('_')[3]) # filter out PB1 samples that we do not have diagnosis information about if sample_id in diagnosis_df['SampleID'].values: X.append(pd.read_csv(os.path.join(cytometry_dir, filename), sep='\t')[features].values) y.append(diagnosis_df.loc[diagnosis_df['SampleID'] == sample_id]['Diagnosis'].values[0]) d = {'no': 0, 'yes': 1} y = [d[_] for _ in y] return X, y def load_cll_data_1p_fcs(diagnosis_filename, cytometry_dir, features): X, y = [], [] diagnosis_df = pd.read_csv(diagnosis_filename, sep='\t') for filename in sorted(os.listdir(cytometry_dir)): if os.path.isdir(os.path.join(cytometry_dir, filename)): continue # filter out PB1 samples that we do not have diagnosis information about file_path = os.path.join(cytometry_dir, filename) if filename in diagnosis_df['FileName'].values: meta_data, file_df = fcsparser.parse(file_path, meta_data_only=False, reformat_meta=True) print(list(file_df)) X.append(file_df[features].values) y.append(diagnosis_df.loc[diagnosis_df['FileName'] == filename]['Diagnosis'].values[0]) d = {'no': 0, 'yes': 1} y = [d[_] for _ in y] print(y) return X, y def load_cll_data_2p(diagnosis_filename, cytometry_dir_pb1, cytometry_dir_pb2, features_pb1, features_pb2): X, y = [], [] diagnosis_df = pd.read_csv(diagnosis_filename, sep='\t') sample_id_list_pb2 = [int(filename.split('_')[3]) for filename in sorted(os.listdir(cytometry_dir_pb2))] id2filename_pb2 = dict(zip(sample_id_list_pb2, sorted(os.listdir(cytometry_dir_pb2)))) for filename_pb1 in sorted(os.listdir(cytometry_dir_pb1)): sample_id = int(filename_pb1.split('_')[3]) if sample_id in diagnosis_df['SampleID'].values and sample_id in sample_id_list_pb2: filename_pb2 = id2filename_pb2[sample_id] x_pb1 = pd.read_csv(os.path.join(cytometry_dir_pb1, filename_pb1), sep='\t')[features_pb1].values x_pb2 = pd.read_csv(os.path.join(cytometry_dir_pb2, filename_pb2), sep='\t')[features_pb2].values X.append([x_pb1, x_pb2]) y.append(diagnosis_df.loc[diagnosis_df['SampleID'] == sample_id]['Diagnosis'].values[0]) d = {'no': 0, 'yes': 1} y = [d[_] for _ in y] return X, y def load_cll_data_2p_fcs(diagnosis_filename, cytometry_dir_pb1, cytometry_dir_pb2, features_pb1, features_pb2): X, y = [], [] diagnosis_df = pd.read_csv(diagnosis_filename, sep='\t') #sample_id_list_pb2 = [int(filename.split('.')[0]) for filename in sorted(os.listdir(cytometry_dir_pb2))] sample_id_list_pb2 = [filename for filename in sorted(os.listdir(cytometry_dir_pb2))] id2filename_pb2 = dict(zip(sample_id_list_pb2, sorted(os.listdir(cytometry_dir_pb2)))) for filename_pb1 in sorted(os.listdir(cytometry_dir_pb1)): #sample_id = int(filename_pb1.split('.')[0]) sample_id = filename_pb1 if os.path.isdir(os.path.join(cytometry_dir_pb1, filename_pb1)): continue if sample_id in diagnosis_df['FileName'].values and sample_id in sample_id_list_pb2: filename_pb2 = id2filename_pb2[sample_id] filepath_pb1 = os.path.join(cytometry_dir_pb1, filename_pb1) filepath_pb2 = os.path.join(cytometry_dir_pb2, filename_pb2) meta_data, file_df_pb1 = fcsparser.parse(filepath_pb1, meta_data_only=False, reformat_meta=True) meta_data, file_df_pb2 = fcsparser.parse(filepath_pb2, meta_data_only=False, reformat_meta=True) print(list(file_df_pb2)) x_pb1 = file_df_pb1[features_pb1].values x_pb2 = file_df_pb2[features_pb2].values X.append([x_pb1, x_pb2]) y.append(diagnosis_df.loc[diagnosis_df['FileName'] == sample_id]['Diagnosis'].values[0]) d = {'no': 0, 'yes': 1} y = [d[_] for _ in y] return X, y def get_reference_tree(file): """ load gating hierarchy from a pickle file to a nested list :param file: filename of the pickle file :return: """ file = open(file, 'rb') return pickle.load(file) def filter_slope(data, dim1, dim2, x1, x2, y1, y2): """ return subset of datapoints in data that fall into the V slope formed by [(0,0),(x1, y1)] and [(0,0),(x2, y2)] :param data: np.array (n_datapoints, n_features) :param dim1: int :param dim2: int :param x1: float :param x2: float :param y1: float :param y2: float :return: (n_filtered_datapoints, n_features) """ if x1 < 0 or y1 < 0 or x2 < 0 or y2 < 0: raise ValueError("x1 or x2 or y1 or y2 is negative.") if dim1 > data.shape[1] or dim1 < 0 or dim2 > data.shape[1] or dim2 < 0: raise ValueError("dim1 and dim2 should be an int between 0 and data.shape[0].") if y1 / x1 < y2 / x2: raise ValueError("Slope of [(0,0), (x1, y1)] should be greater than the slope of [(0,0), (x2, y2)].") gradient = data[:, dim2] / data[:, dim1] idx = (gradient < y1 / x1) & (gradient > y2 / x2) return data[idx] def filter_rectangle(data, dim1, dim2, x1, x2, y1, y2, return_idx=False): """ return subset of datapoints in data that fall into the rectangle formed by (x1, y1),(x2, y2),(x1, y2) and (x2, y1) :param data: np.array (n_datapoints, n_features) :param dim1: int :param dim2: int :param x1: float :param x2: float :param y1: float :param y2: float :return: (n_filtered_datapoints, n_features) """ if x1 < 0 or y1 < 0 or x2 < 0 or y2 < 0: raise ValueError("x1 or x2 or y1 or y2 is negative.") if dim1 > data.shape[1] or dim1 < 0 or dim2 > data.shape[1] or dim2 < 0: raise ValueError("dim1 and dim2 should be an int between 0 and data.shape[0].") if x1 > x2 or y1 > y2: raise ValueError("x2 should be greater than x1, y2 should be greater than y1.") idx = (data[:, dim1] > x1) & (data[:, dim1] < x2) & (data[:, dim2] > y1) & (data[:, dim2] < y2) if return_idx: return idx return data[idx] def filter_cll_4d_pb1(x_list): """ :param x_list: :return: """ idx = 3 filtered_x_list = [filter_slope(x, 0, 1, 2048, 4096, 2048, 2560) for x in x_list] print('After first slope gate %d remain in sample %s' % (filtered_x_list[idx].shape[0], idx)) filtered_x_list = [filter_rectangle(x, 2, 3, 102, 921, 2048, 3891) for x in filtered_x_list] print('After second gate %d remain in sample %s' % (filtered_x_list[idx].shape[0], idx)) filtered_x_list = [filter_rectangle(x, 0, 4, 921, 2150, 102, 921) for x in filtered_x_list] print('After third gate %d remain in sample %s' % (filtered_x_list[idx].shape[0], idx)) filtered_x_list_4d = [x[:, 5:9] for x in filtered_x_list] return filtered_x_list_4d def filter_cll_8d_pb1(x_list): """ :param x_list: :return: """ idx = 3 filtered_x_list = [filter_slope(x, 0, 1, 2048, 4096, 2048, 2560) for x in x_list] print('After first slope gate %d remain in sample %s' % (filtered_x_list[idx].shape[0], idx)) filtered_x_list_8d = [x[:, [0, 2, 3, 4, 5, 6, 7, 8]] for x in filtered_x_list] return filtered_x_list_8d def filter_cll_4d_pb2(x_list): """ :param x_list: list of numpy arrays per sample :return: list of filtered numpy arrays per sample """ idx = 3 filtered_x_list = [filter_slope(x, 0, 1, 2048, 4096, 2048, 2560) for x in x_list] print('After first slope gate %d remain in sample %s' % (filtered_x_list[idx].shape[0], idx)) filtered_x_list = [filter_rectangle(x, 2, 3, 102, 921, 2048, 3891) for x in filtered_x_list] print('After second gate %d remain in sample %s' % (filtered_x_list[idx].shape[0], idx)) filtered_x_list = [filter_rectangle(x, 0, 4, 921, 2150, 102, 921) for x in filtered_x_list] print('After third gate %d remain in sample %s' % (filtered_x_list[idx].shape[0], idx)) filtered_x_list = [filter_rectangle(x, 5, 6, 1638, 3891, 2150, 3891) for x in filtered_x_list] print('After fourth gate %d remain in sample %s' % (filtered_x_list[idx].shape[0], idx)) filtered_x_list_4d = [x_list[:, 7:11] for x_list in filtered_x_list] return filtered_x_list_4d def filter_cll_10d_pb2(x_list): """ :param x_list: list of numpy arrays per sample :return: list of filtered numpy arrays per sample """ idx = 3 filtered_x_list = [filter_slope(x, 0, 1, 2048, 4096, 2048, 2560) for x in x_list] print('After first slope gate %d remain in sample %s' % (filtered_x_list[idx].shape[0], idx)) filtered_x_list_10d = [x_list[:, [0, 2, 3, 4, 5, 6, 7, 8, 9, 10]] for x_list in filtered_x_list] return filtered_x_list_10d def filter_cll_leaf_pb1(x_list): """ :param x_list: :return: """ idx = 3 filtered_x_list = [filter_slope(x, 0, 1, 2048, 4096, 2048, 2560) for x in x_list] print('After first slope gate %d remain in sample %s' % (filtered_x_list[idx].shape[0], idx)) filtered_x_list = [filter_rectangle(x, 2, 3, 102, 921, 2048, 3891) for x in filtered_x_list] print('After second gate %d remain in sample %s' % (filtered_x_list[idx].shape[0], idx)) filtered_x_list = [filter_rectangle(x, 0, 4, 921, 2150, 102, 921) for x in filtered_x_list] print('After third gate %d remain in sample %s' % (filtered_x_list[idx].shape[0], idx)) filtered_x_list = [filter_rectangle(x, 5, 6, 1638, 3891, 2150, 3891) for x in filtered_x_list] print('After fourth gate %d remain in sample %s' % (filtered_x_list[idx].shape[0], idx)) filtered_x_list = [filter_rectangle(x, 7, 8, 0, 1228, 0, 1843) for x in filtered_x_list] print('After fifth gate %d remain in sample %s' % (filtered_x_list[idx].shape[0], idx)) filtered_x_list_leaf = [x for x in filtered_x_list] return filtered_x_list_leaf def filter_cll_leaf_pb2(x_list): """ :param x_list: list of numpy arrays per sample :return: list of filtered numpy arrays per sample """ idx = 3 filtered_x_list = [filter_slope(x, 0, 1, 2048, 4096, 2048, 2560) for x in x_list] print('After first slope gate %d remain in sample %s' % (filtered_x_list[idx].shape[0], idx)) filtered_x_list = [filter_rectangle(x, 2, 3, 102, 921, 2048, 3891) for x in filtered_x_list] print('After second gate %d remain in sample %s' % (filtered_x_list[idx].shape[0], idx)) filtered_x_list = [filter_rectangle(x, 0, 4, 921, 2150, 102, 921) for x in filtered_x_list] print('After third gate %d remain in sample %s' % (filtered_x_list[idx].shape[0], idx)) filtered_x_list = [filter_rectangle(x, 5, 6, 1638, 3891, 2150, 3891) for x in filtered_x_list] print('After fourth gate %d remain in sample %s' % (filtered_x_list[idx].shape[0], idx)) filtered_x_list = [filter_rectangle(x, 7, 8, 0, 1740, 614, 2252) for x in filtered_x_list] print('After fifth gate %d remain in sample %s' % (filtered_x_list[idx].shape[0], idx)) filtered_x_list_leaf = [x for x in filtered_x_list] return filtered_x_list_leaf def filter_cll(x_list): """ :param x_list: :return: """ idx = 3 filtered_x_list = [filter_slope(x, 0, 1, 2048, 4096, 2048, 2560) for x in x_list] print('After first slope gate %d remain in sample %s' % (filtered_x_list[idx].shape[0], idx)) return filtered_x_list def normalize_x_list(x_list, offset=None, scale=None): """ x_list = normalized_x_list * scale + offset; normalized_x_list = (x_list - offset) / scale :param x_list: a list of numpy array, each of shape (, n_cell_features) :param offset: a numpy array of shape (n_cell_features, ) :param scale: a numpy array of shape (n_cell_featuers, ) :return: """ n_features = x_list[0].shape[1] if offset is None or scale is None: x_min = np.min(np.array([x.min(axis=0) if x.shape[0] > 0 else [np.nan] * n_features for x in x_list]), axis=0) x_max = np.max(np.array([x.max(axis=0) if x.shape[0] > 0 else [np.nan] * n_features for x in x_list]), axis=0) offset = x_min scale = x_max - x_min normalized_x_list = [(x - offset) / scale for x in x_list] return normalized_x_list, offset, scale def normalize_x_list_multiple_panels(x_list, offset=None, scale=None): """ :param x_list: a list of a list of numpy arrays, each numpy array is the fc measurements of one panel for one sample :param offset: a list of numpy arrays of shape (n_cell_features, ). The list is of length n_panels :param scale: a list of numpy arrays of shape (n_cell_features, ). The list is of length n_panels :return: """ n_panels = len(x_list[0]) x_list = list(map(list, zip(*x_list))) if offset is None: offset = [None] * n_panels scale = [None] * n_panels normalized_x_list = [None] * n_panels for panel_idx in range(n_panels): normalized_x_list[panel_idx], offset[panel_idx], scale[panel_idx] = normalize_x_list(x_list[panel_idx]) p1_mean_feats_in_both = np.mean(np.concatenate(normalized_x_list[0]), axis=0)[0:6] p2_mean_feats_in_both = np.mean(np.concatenate(normalized_x_list[1]), axis=0)[0:6] shift = p1_mean_feats_in_both - p2_mean_feats_in_both for i, x in enumerate(normalized_x_list[1]): x[:, 0:6] = x[:, 0:6] + shift normalized_x_list[1][i][:, 0:6] = x[:, 0:6] normalized_x_list = list(map(list, zip(*normalized_x_list))) return normalized_x_list, offset, scale def normalize_nested_tree_both_panels(nested_tree, offset, scale, feature2id): """ normalized_x = (x - offset) / scale :param nested_tree: :param offset: a list of numpy arrays of shape (n_cell_features, ) of length n_panels :param scale: a list of numpy array of shape (n_cell_featuers, ) of length n_panels :param feature2id: a list of dictionaries that maps feature names to column idx of length n_panels :return: """ if nested_tree == []: return [] # normalize the root node gate = nested_tree[0] panel = gate[2] panel_id = 1 if panel == 'p2' else 0 dim1, dim2 = feature2id[panel_id][gate[0][0]], feature2id[panel_id][gate[1][0]] gate[0][1] = (gate[0][1] - offset[panel_id][dim1]) / scale[panel_id][dim1] gate[0][2] = (gate[0][2] - offset[panel_id][dim1]) / scale[panel_id][dim1] gate[1][1] = (gate[1][1] - offset[panel_id][dim2]) / scale[panel_id][dim2] gate[1][2] = (gate[1][2] - offset[panel_id][dim2]) / scale[panel_id][dim2] return [gate, [normalize_nested_tree_both_panels(child, offset, scale, feature2id) for child in nested_tree[1]]] def normalize_nested_tree(nested_tree, offset, scale, feature2id): """ normalized_x = (x - offset) / scale :param nested_tree: :param offset: a numpy array of shape (n_cell_features, ) :param scale: a numpy array of shape (n_cell_featuers, ) :param feature2id: a dictionary that maps feature names to column idx :return: """ if nested_tree == []: return [] # normalize the root node gate = nested_tree[0] dim1, dim2 = feature2id[gate[0][0]], feature2id[gate[1][0]] gate[0][1] = (gate[0][1] - offset[dim1]) / scale[dim1] gate[0][2] = (gate[0][2] - offset[dim1]) / scale[dim1] gate[1][1] = (gate[1][1] - offset[dim2]) / scale[dim2] gate[1][2] = (gate[1][2] - offset[dim2]) / scale[dim2] return [gate, [normalize_nested_tree(child, offset, scale, feature2id) for child in nested_tree[1]]] if __name__ == '__main__': x_list = [[np.array([[1, 2], [3, 4]]), np.array([[5, 6], [7, 8]])], [np.array([[1, 2], [3, 4]]), np.array([[5, 6], [7, 8]])]] print(x_list) print(normalize_x_list_multiple_panels(x_list))

43.880759

120

0.655077

2,638

16,192

3.797953

0.078848

0.065376

0.093423

0.037928

0.829324

0.786206

0.759657

0.74199

0.690788

0.664038

0

0.058297

0.213933

16,192

368

121

44

0.728865

0.163476

0

0.486364

0

0.004545

0.098996

0

1

0.081818

false

0

0.027273

0

0.204545

0.113636

0

null

0

1

0

1

0

null

0

5

d052532ac1d7bcc98c212c36a47a7d010211c655

344

py

Python

logical/converter/qiskit/backends/basejob.py

malcolmregan/GateCircuit-to-AnnealerEmbedding

33a1a4ea2ebd707ade0677e0df468d5120a861db

[ "Apache-2.0" ]

null

logical/converter/qiskit/backends/basejob.py

malcolmregan/GateCircuit-to-AnnealerEmbedding

33a1a4ea2ebd707ade0677e0df468d5120a861db

[ "Apache-2.0" ]

1

2019-04-09T02:22:38.000Z

logical/converter/qiskit/backends/basejob.py

malcolmregan/GateCircuit-to-AnnealerEmbedding

33a1a4ea2ebd707ade0677e0df468d5120a861db

[ "Apache-2.0" ]

null

from abc import ABC, abstractmethod class BaseJob(ABC): pass def __init__(self, backend, job_id): pass def job_id(self): pass def backend(self): pass def submit(self): pass def result(self): pass def cancel(self): pass def status(self): pass

10.75

40

0.534884

41

344

4.341463

0.414634

0.275281

0.308989

0

0.386628

344

31

41

11.096774

0.843602

0

0.470588

0

1

0.411765

false

0.470588

0.058824

0

0.529412

0

null

1

0

null

0

1

0

1

0

1

0

5

d0be96d14554eb0902b9485926cb2c9f66fffcc2

173

py

Python

accounts/admin.py

lawalkeyd/Law_Firm

02bf019929987e6a1b35b34bc60e5848a4a9ce35

[ "MIT" ]

null

accounts/admin.py

lawalkeyd/Law_Firm

02bf019929987e6a1b35b34bc60e5848a4a9ce35

[ "MIT" ]

null

accounts/admin.py

lawalkeyd/Law_Firm

02bf019929987e6a1b35b34bc60e5848a4a9ce35

[ "MIT" ]

null

from django.contrib import admin from .models import UserAccount, UserProfile # Register your models here. admin.site.register(UserAccount) admin.site.register(UserProfile)

28.833333

44

0.83237

22

173

6.545455

0.545455

0.125

0.236111

0

0.092486

173

6

45

28.833333

0.917197

0.150289

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

d0c7b32134af7652bb72d13c50b0ea9aabb0006c

22,283

py

Python

grapefruit_test.py

xav/Grapefruit

b3d88375be727a3a1ec5839fbc462e0e8e0836e4

[ "Apache-2.0" ]

71

2015-01-08T10:22:34.000Z

2022-03-14T00:57:58.000Z

grapefruit_test.py

cyanogen/Grapefruit

b3d88375be727a3a1ec5839fbc462e0e8e0836e4

[ "Apache-2.0" ]

11

2015-02-03T15:55:26.000Z

2020-10-30T15:26:57.000Z

grapefruit_test.py

cyanogen/Grapefruit

b3d88375be727a3a1ec5839fbc462e0e8e0836e4

[ "Apache-2.0" ]

17

2015-01-31T19:01:05.000Z

2022-03-14T00:30:00.000Z

#!/usr/bin/python # -*- coding: utf-8 -*-# # Copyright (c) 2008-2016, Xavier Basty # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Unit tests for the grapefruit module.""" import grapefruit from nose.tools import * def assert_items_almost_equal(first, second, places=3, msg=None, delta=None): """assert_almost_equal for iterables""" assert_equal(len(first), len(second)) for f, s in zip(first, second): assert_almost_equal(f, s, places, msg, delta) class TestConversion(): """Test the static color conversion methods.""" def test_rgb_to_hsl_tuple(self): assert_items_almost_equal((30.0, 1.0, 0.5), grapefruit.rgb_to_hsl((1, 0.5, 0))) def test_rgb_to_hsl(self): assert_items_almost_equal((30.0, 1.0, 0.5), grapefruit.rgb_to_hsl(1, 0.5, 0)) assert_items_almost_equal((20.0, 1.0, 0.625), grapefruit.rgb_to_hsl(1, 0.5, 0.25)) #ff8040 assert_items_almost_equal((40.0, 1.0, 0.375), grapefruit.rgb_to_hsl(0.75, 0.5, 0)) #bf8000 def test_hsl_to_rgb_tuple(self): assert_items_almost_equal((1, 0.5, 0), grapefruit.hsl_to_rgb(((30.0, 1.0, 0.5)))) def test_hsl_to_rgb(self): assert_items_almost_equal((1, 0.5, 0), grapefruit.hsl_to_rgb(30.0, 1.0, 0.5)) assert_items_almost_equal((1, 0.5, 0.25), grapefruit.hsl_to_rgb(20.0, 1.0, 0.625)) assert_items_almost_equal((0.75, 0.5, 0), grapefruit.hsl_to_rgb(40.0, 1.0, 0.375)) def test_rgb_to_hsv_tuple(self): assert_equal((30.0, 1.0, 1.0), grapefruit.rgb_to_hsv((1, 0.5, 0))) def test_rgb_to_hsv(self): assert_equal((30.0, 1.0, 1.0), grapefruit.rgb_to_hsv(1, 0.5, 0)) assert_equal((1, 0.5, 0), grapefruit.hsv_to_rgb(30.0, 1.0, 1.0)) def test_rgb_to_yiq_tuple(self): assert_items_almost_equal((0.5923, 0.4589, -0.05), grapefruit.rgb_to_yiq((1, 0.5, 0))) def test_rgb_to_yiq(self): assert_items_almost_equal((0.5923, 0.4589, -0.05), grapefruit.rgb_to_yiq(1, 0.5, 0)) assert_items_almost_equal((1, 0.5, 0), grapefruit.yiq_to_rgb(0.5923, 0.4589, -0.05)) def test_rgb_to_yuv_tuple(self): assert_items_almost_equal((0.5925, -0.2916, 0.3575), grapefruit.rgb_to_yuv((1, 0.5, 0))) def test_rgb_to_yuv(self): assert_items_almost_equal((0.5925, -0.2916, 0.3575), grapefruit.rgb_to_yuv(1, 0.5, 0)) assert_items_almost_equal((1, 0.5, 0), grapefruit.yuv_to_rgb(0.5925, -0.2916, 0.3575)) def test_rgb_to_xyz_tuple(self): assert_items_almost_equal((0.4890, 0.3657, 0.04485), grapefruit.rgb_to_xyz((1, 0.5, 0))) def test_rgb_to_xyz(self): assert_items_almost_equal((0.4890, 0.3657, 0.04485), grapefruit.rgb_to_xyz(1, 0.5, 0)) assert_items_almost_equal((1, 0.5, 0), grapefruit.xyz_to_rgb(0.488941, 0.365682, 0.0448137)) def test_xyz_tolab_tuple(self): assert_items_almost_equal((66.9518, 0.4308, 0.7397), grapefruit.xyz_to_lab((0.488941, 0.365682, 0.0448137))) def test_xyz_tolab(self): assert_items_almost_equal((66.9518, 0.4308, 0.7397), grapefruit.xyz_to_lab(0.488941, 0.365682, 0.0448137)) assert_items_almost_equal((66.9518, 0.4117, 0.6728), grapefruit.xyz_to_lab(0.488941, 0.365682, 0.0448137, grapefruit.WHITE_REFERENCE["std_D50"])) def test_xyz_to_lab_tuple(self): assert_items_almost_equal((0.4890, 0.3657, 0.0449), grapefruit.lab_to_xyz((66.9518, 0.4308, 0.7397))) def test_xyz_to_lab(self): assert_items_almost_equal((0.4890, 0.3657, 0.0449), grapefruit.lab_to_xyz(66.9518, 0.4308, 0.7397)) assert_items_almost_equal((0.4890, 0.3657, 0.0449), grapefruit.lab_to_xyz(66.9518, 0.4117, 0.6728, grapefruit.WHITE_REFERENCE["std_D50"])) def test_cmy_to_cmyk_tuple(self): assert_items_almost_equal((1, 0.32, 0, 0.5), grapefruit.cmy_to_cmyk((1.0, 0.66, 0.5))) def test_cmy_to_cmyk(self): assert_items_almost_equal((1, 0.32, 0, 0.5), grapefruit.cmy_to_cmyk(1.0, 0.66, 0.5)) def test_cmyk_to_cmy_tuple(self): assert_items_almost_equal((1.0, 0.66, 0.5), grapefruit.cmyk_to_cmy((1, 0.32, 0, 0.5))) def test_cmyk_to_cmy(self): assert_items_almost_equal((1.0, 0.66, 0.5), grapefruit.cmyk_to_cmy(1, 0.32, 0, 0.5)) def test_rgb_to_cmy_tuple(self): assert_equal((0, 0.5, 1), grapefruit.rgb_to_cmy((1, 0.5, 0))) def test_rgb_to_cmy(self): assert_equal((0, 0.5, 1), grapefruit.rgb_to_cmy(1, 0.5, 0)) assert_equal((1, 0.5, 0), grapefruit.cmy_to_rgb(0, 0.5, 1)) def test_rgb_to_html(self): assert_equal("#ff8000", grapefruit.rgb_to_html(1, 0.5, 0)) assert_items_almost_equal((1.0, 0.5020, 0.0), grapefruit.html_to_rgb("#ff8000")) assert_items_almost_equal((1.0, 0.5020, 0.0), grapefruit.html_to_rgb("ff8000")) assert_items_almost_equal((1.0, 0.4, 0.0), grapefruit.html_to_rgb("#f60")) assert_items_almost_equal((1.0, 0.4, 0.0), grapefruit.html_to_rgb("f60")) assert_items_almost_equal((1.000000, 0.980392, 0.803922), grapefruit.html_to_rgb("lemonchiffon")) def test_rgb_to_pil_tuple(self): assert_almost_equal(0x0080ff, grapefruit.rgb_to_pil((1, 0.5, 0))) def test_rgb_to_pil(self): assert_almost_equal(0x0080ff, grapefruit.rgb_to_pil(1, 0.5, 0)) assert_items_almost_equal((1.0, 0.5020, 0), grapefruit.pil_to_rgb(0x0080ff)) def test_websafe_component(self): assert_equal(0.2, grapefruit._websafe_component(0.2)) assert_equal(0.2, grapefruit._websafe_component(0.25)) assert_equal(0.4, grapefruit._websafe_component(0.3)) assert_equal(0.4, grapefruit._websafe_component(0.25, True)) assert_equal(0.2, grapefruit._websafe_component(0.2, True)) assert_equal(0.2, grapefruit._websafe_component(0.3, True)) def test_rgb_to_to_websafe_tuple(self): assert_equal((1.0, 0.6, 0.0), grapefruit.rgb_to_websafe((1, 0.55, 0.0))) def test_rgb_to_to_websafe(self): assert_equal((1.0, 0.6, 0.0), grapefruit.rgb_to_websafe(1, 0.55, 0.0)) assert_equal((1.0, 0.4, 0.0), grapefruit.rgb_to_websafe(1, 0.55, 0.0, True)) assert_equal((1.0, 0.4, 0.0), grapefruit.rgb_to_websafe(1, 0.5, 0.0, True)) def test_rgb_to_greyscale_tuple(self): assert_equal((0.6, 0.6, 0.6), grapefruit.rgb_to_greyscale((1, 0.8, 0))) def test_rgb_to_greyscale(self): assert_equal((0.6, 0.6, 0.6), grapefruit.rgb_to_greyscale(1, 0.8, 0)) class TestNewFrom(): def test_from_rgb(self): c = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) assert_equal(c, (1.0, 0.5, 0.0, 1.0)) c = grapefruit.Color.from_rgb(1.0, 0.5, 0.0, 0.5) assert_equal(c, (1.0, 0.5, 0.0, 0.5)) def test_from_hsl(self): c = grapefruit.Color.from_hsl(30, 1, 0.5) assert_equal(c, (1.0, 0.5, 0.0, 1.0)) c = grapefruit.Color.from_hsl(30, 1, 0.5, 0.5) assert_equal(c, (1.0, 0.5, 0.0, 0.5)) def test_from_hsv(self): c = grapefruit.Color.from_hsv(30, 1, 1) assert_equal(c, (1.0, 0.5, 0.0, 1.0)) c = grapefruit.Color.from_hsv(30, 1, 1, 0.5) assert_equal(c, (1.0, 0.5, 0.0, 0.5)) def test_from_yiq(self): c = grapefruit.Color.from_yiq(0.5923, 0.4589, -0.0499818) assert_items_almost_equal(c, (1, 0.5, 0, 1)) c = grapefruit.Color.from_yiq(0.5923, 0.4589,-0.05, 0.5) assert_items_almost_equal(c, (1, 0.5, 0, 0.5)) def test_from_yuv(self): c = grapefruit.Color.from_yuv(0.5925, -0.2916, 0.3575) assert_items_almost_equal(c, (1, 0.5, 0, 1)) c = grapefruit.Color.from_yuv(0.5925, -0.2916, 0.3575, 0.5) assert_items_almost_equal(c, (1, 0.5, 0, 0.5)) def test_from_xyz(self): c = grapefruit.Color.from_xyz(0.488941, 0.365682, 0.0448137) assert_items_almost_equal(c, (1, 0.5, 0, 1)) c = grapefruit.Color.from_xyz(0.488941, 0.365682, 0.0448137, 0.5) assert_items_almost_equal(c, (1, 0.5, 0, 0.5)) def test_from_lab(self): c = grapefruit.Color.from_lab(66.9518, 0.43084, 0.739692) assert_items_almost_equal(c, (1, 0.5, 0, 1)) c = grapefruit.Color.from_lab(66.9518, 0.43084, 0.739692, wref=grapefruit.WHITE_REFERENCE["std_D50"]) assert_items_almost_equal(c, (1.0123754, 0.492012, -0.143110, 1)) c = grapefruit.Color.from_lab(66.9518, 0.43084, 0.739692, 0.5) assert_items_almost_equal(c, (1, 0.5, 0, 0.5)) c = grapefruit.Color.from_lab(66.9518, 0.43084, 0.739692, 0.5, grapefruit.WHITE_REFERENCE["std_D50"]) assert_items_almost_equal(c, (1.0123754, 0.492012, -0.143110, 0.5)) def test_from_labInteger(self): # Allow specifying lightness as an integer. lab = (60, 0.3, 0.3) c = grapefruit.Color.from_lab(*lab) assert_items_almost_equal(c.lab, lab) assert_true(c.is_legal) def test_from_cmy(self): c = grapefruit.Color.from_cmy(0, 0.5, 1) assert_equal(c, (1, 0.5, 0, 1.0)) c = grapefruit.Color.from_cmy(0, 0.5, 1, 0.5) assert_equal(c, (1, 0.5, 0, 0.5)) def test_from_cmyk(self): c = grapefruit.Color.from_cmyk(1, 0.32, 0, 0.5) assert_items_almost_equal(c, (0, 0.34, 0.5, 1)) c = grapefruit.Color.from_cmyk(1, 0.32, 0, 0.5, 0.5) assert_items_almost_equal(c, (0, 0.34, 0.5, 0.5)) def test_from_html(self): c = grapefruit.Color.from_html("#ff8000") assert_items_almost_equal(c, (1, 0.5020, 0, 1)) c = grapefruit.Color.from_html("ff8000") assert_items_almost_equal(c, (1, 0.5020, 0, 1)) c = grapefruit.Color.from_html("#f60") assert_items_almost_equal(c, (1, 0.4, 0, 1)) c = grapefruit.Color.from_html("f60") assert_items_almost_equal(c, (1, 0.4, 0, 1)) c = grapefruit.Color.from_html("lemonchiffon") assert_items_almost_equal(c, (1, 0.9804, 0.8039, 1)) c = grapefruit.Color.from_html("#ff8000", 0.5) assert_items_almost_equal(c, (1, 0.5020, 0, 0.5)) def test_from_pil(self): c = grapefruit.Color.from_pil(0x0080ff) assert_items_almost_equal(c, (1, 0.5020, 0, 1)) c = grapefruit.Color.from_pil(0x0080ff, 0.5) assert_items_almost_equal(c, (1, 0.5020, 0, 0.5)) class TestColorProperties(): def test_get_alpha(self): col = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) assert_equal(col.alpha, 1.0) def test_set_alpha(self): col = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) col.alpha = 0.5 assert_equal(col.alpha, 0.5) def test_get_white_ref(self): col = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) assert_equal(col.white_ref, grapefruit.WHITE_REFERENCE['std_D65']) def test_set_white_ref(self): col = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) col.white_ref = grapefruit.WHITE_REFERENCE['std_A'] assert_equal(grapefruit.WHITE_REFERENCE['std_A'], col.white_ref) def test_get_rgb(self): col = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) assert_equal(col.rgb, (1, 0.5, 0)) def test_set_rgb(self): col = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) col.rgb = (0.1, 0.2, 0.3) assert_equal(col.rgb, (0.1, 0.2, 0.3)) assert_equal(col.hsl, grapefruit.rgb_to_hsl(0.1, 0.2, 0.3)) def test_get_rgba(self): col = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) assert_equal(col.rgba, (1, 0.5, 0, 1)) def test_set_rgba(self): col = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) col.rgba = (0.1, 0.2, 0.3, 0.5) assert_equal(col.rgb, (0.1, 0.2, 0.3)) assert_equal(col.alpha, 0.5) assert_equal(col.hsl, grapefruit.rgb_to_hsl(0.1, 0.2, 0.3)) def test_get_red(self): col = grapefruit.Color.from_rgb(0.1, 0.2, 0.3) assert_equal(col.red, 0.1) def test_set_red(self): col = grapefruit.Color.from_rgb(0.1, 0.2, 0.3) col.red = 0.9 assert_equal(col.rgb, (0.9, 0.2, 0.3)) assert_equal(col.hsl, grapefruit.rgb_to_hsl(0.9, 0.2, 0.3)) def test_get_green(self): col = grapefruit.Color.from_rgb(0.1, 0.2, 0.3) assert_equal(col.green, 0.2) def test_set_green(self): col = grapefruit.Color.from_rgb(0.1, 0.2, 0.3) col.green = 0.9 assert_equal(col.rgb, (0.1, 0.9, 0.3)) assert_equal(col.hsl, grapefruit.rgb_to_hsl(0.1, 0.9, 0.3)) def test_get_blue(self): col = grapefruit.Color.from_rgb(0.1, 0.2, 0.3) assert_equal(col.blue, 0.3) def test_set_blue(self): col = grapefruit.Color.from_rgb(0.1, 0.2, 0.3) col.blue = 0.9 assert_equal(col.rgb, (0.1, 0.2, 0.9)) assert_equal(col.hsl, grapefruit.rgb_to_hsl(0.1, 0.2, 0.9)) def test_get_hsl(self): col = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) assert_equal(col.hsl, (30, 1, 0.5)) def test_set_hsl(self): col = grapefruit.Color.from_hsl(30, 1, 0.5) col.hsl = (40, 0.5, 0.7) assert_equal(col.hsl, (40, 0.5, 0.7)) assert_equal(col.rgb, grapefruit.hsl_to_rgb(40, 0.5, 0.7)) def test_get_hsl_hue(self): col = grapefruit.Color.from_hsl(30, 1, 0.5) assert_equal(col.hsl_hue, 30) def test_set_hsl_hue(self): col = grapefruit.Color.from_hsl(30, 1, 0.5) col.hsl_hue = 40 assert_equal(col.hsl, (40, 1, 0.5)) assert_equal(col.rgb, grapefruit.hsl_to_rgb(40, 1, 0.5)) def test_get_hsv(self): col = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) assert_equal(col.hsv, (30, 1, 1)) def test_set_hsv(self): col = grapefruit.Color.from_hsv(30, 1, 1) col.hsv = (40, 0.5, 0.2) assert_items_almost_equal(col.hsv, (40, 0.5, 0.2)) assert_equal(col.rgb, grapefruit.hsv_to_rgb(40, 0.5, 0.2)) assert_almost_equal(col.hsl, grapefruit.rgb_to_hsl(grapefruit.hsv_to_rgb(40, 0.5, 0.2))) def test_get_yiq(self): col = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) assert_items_almost_equal(col.yiq, (0.5923, 0.4589, -0.05)) def test_set_yiq(self): col = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) col.yiq = (0.1, 0.2, 0.3) assert_items_almost_equal(col.yiq, (0.1, 0.2, 0.3)) assert_equal(col.rgb, grapefruit.yiq_to_rgb(0.1, 0.2, 0.3)) assert_almost_equal(col.hsl, grapefruit.rgb_to_hsl(grapefruit.yiq_to_rgb(0.1, 0.2, 0.3))) def test_get_yuv(self): col = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) assert_items_almost_equal(col.yuv, (0.5925, -0.2916, 0.3575)) def test_set_yuv(self): col = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) col.yuv = (0.1, 0.2, 0.3) assert_items_almost_equal(col.yuv, (0.1, 0.2, 0.3)) assert_equal(col.rgb, grapefruit.yuv_to_rgb(0.1, 0.2, 0.3)) assert_almost_equal(col.hsl, grapefruit.rgb_to_hsl(grapefruit.yuv_to_rgb(0.1, 0.2, 0.3))) def test_get_xyz(self): col = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) assert_items_almost_equal(col.xyz, (0.4890, 0.3657, 0.04485)) def test_set_xyz(self): col = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) col.xyz = (0.1, 0.2, 0.3) assert_items_almost_equal(col.xyz, (0.1, 0.2, 0.3)) assert_equal(col.rgb, grapefruit.xyz_to_rgb(0.1, 0.2, 0.3)) assert_almost_equal(col.hsl, grapefruit.rgb_to_hsl(grapefruit.xyz_to_rgb(0.1, 0.2, 0.3))) def test_get_lab(self): c = grapefruit.Color.from_rgb(1, 0.5, 0, wref=grapefruit.WHITE_REFERENCE['std_D50']) assert_items_almost_equal(c.lab, (66.9518, 0.4117, 0.6728)) def test_get_cmy(self): col = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) assert_equal(col.cmy, (0, 0.5, 1)) def test_set_cmy(self): col = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) col.cmy = (0.1, 0.2, 0.3) assert_items_almost_equal(col.cmy, (0.1, 0.2, 0.3)) assert_equal(col.rgb, grapefruit.cmy_to_rgb(0.1, 0.2, 0.3)) assert_almost_equal(col.hsl, grapefruit.rgb_to_hsl(grapefruit.cmy_to_rgb(0.1, 0.2, 0.3))) def test_get_cmyk(self): col = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) assert_equal(col.cmyk, (0, 0.5, 1, 0)) def test_set_cmyk(self): col = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) col.cmyk = (0, 0.111, 0.222, 0.46) assert_items_almost_equal(col.cmyk, (0, 0.111, 0.222, 0.46)) assert_equal(col.rgb, grapefruit.cmy_to_rgb(grapefruit.cmyk_to_cmy(0, 0.111, 0.222, 0.46))) assert_almost_equal(col.hsl, grapefruit.rgb_to_hsl(grapefruit.cmy_to_rgb(grapefruit.cmyk_to_cmy(0, 0.111, 0.222, 0.46)))) def test_get_ints(self): col = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) assert_equal(col.ints, (255, 128, 0)) def test_set_ints(self): col = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) col.ints = (0, 128, 255) assert_equal(col.rgb, (0.0, 128.0/255.0, 1.0)) assert_equal(col.hsl, grapefruit.rgb_to_hsl(0.0, 128.0/255.0, 1.0)) def test_get_html(self): col = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) assert_equal(col.html, '#ff8000') def test_set_html(self): col = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) col.html = '#0080ff' assert_equal(col.rgb, (0.0, 128.0/255.0, 1.0)) assert_equal(col.hsl, grapefruit.rgb_to_hsl(0.0, 128.0/255.0, 1.0)) def test_get_pil(self): col = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) assert_equal(col.pil, 0x0080ff) def test_set_pil(self): col = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) col.pil = 0xff8000 assert_equal(col.rgb, (0.0, 128.0/255.0, 1.0)) assert_equal(col.hsl, grapefruit.rgb_to_hsl(0.0, 128.0/255.0, 1.0)) def test_get_websafe(self): col = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) assert_equal(col.websafe, (1, 0.6, 0)) def test_get_greyscale(self): col = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) assert_equal(col.greyscale, (0.5, 0.5, 0.5)) class TestColorMethods(): @classmethod def setup_class(self): self.rgb_col = grapefruit.Color.from_rgb(1.0, 0.5, 0.0) self.hsl_col = grapefruit.Color.from_hsl(30, 1, 0.5) self.hsl_col2 = grapefruit.Color.from_hsl(30, 0.5, 0.5) def test_Init(self): assert_equal(grapefruit.Color((1.0, 0.5, 0.0)), (1.0, 0.5, 0.0, 1.0)) assert_equal(grapefruit.Color((1.0, 0.5, 0.0), mode='rgb'), (1.0, 0.5, 0.0, 1.0)) assert_equal(grapefruit.Color((30, 1, 0.5), mode='hsl'), (1.0, 0.5, 0.0, 1.0)) assert_raises(ValueError, grapefruit.Color, (30, 1, 0.5), 'hsv') def test_Eq(self): assert_equal(self.rgb_col, self.hsl_col) assert_equal(self.rgb_col, (1.0, 0.5, 0.0, 1.0)) assert_equal(self.rgb_col, [1.0, 0.5, 0.0, 1.0]) assert_equal([1.0, 0.5, 0.0, 1.0], self.rgb_col) assert_not_equal(self.rgb_col, '(1.0, 0.5, 0.0, 1.0)') def test_Repr(self): assert_equal(repr(self.rgb_col), 'Color(1.0, 0.5, 0.0, 1.0)') assert_equal(repr(self.hsl_col), 'Color(1.0, 0.5, 0.0, 1.0)') def test_Str(self): assert_equal(str(self.rgb_col), '(1.0, 0.5, 0.0, 1.0)') assert_equal(str(self.hsl_col), '(1.0, 0.5, 0.0, 1.0)') def test_Iter(self): assert_equal([1, 0.5, 0, 1], list(iter(self.rgb_col))) def test_with_alpha(self): assert_equal(self.rgb_col.with_alpha(0.5), (1, 0.5, 0, 0.5)) def test_with_white_ref(self): assert_equal(self.hsl_col.with_white_ref((0.1, 0.2, 0.3)).white_ref, (0.1, 0.2, 0.3)) def test_with_hue(self): assert_equal(self.hsl_col.with_hue(60), (1.0, 1.0, 0.0, 1.0)) assert_equal(self.hsl_col.with_hue(60).hsl, (60, 1, 0.5)) def test_with_saturation(self): assert_equal(self.hsl_col.with_saturation(0.5), (0.75, 0.5, 0.25, 1.0)) assert_equal(self.hsl_col.with_saturation(0.5).hsl, (30, 0.5, 0.5)) def test_with_lightness(self): assert_equal(self.hsl_col.with_lightness(1), (1.0, 1.0, 1.0, 1.0)) assert_equal(self.hsl_col.with_lightness(1).hsl, (30, 1.0, 1.0)) def test_darker(self): assert_items_almost_equal(self.hsl_col.darker(0.2), (0.6, 0.3, 0.0, 1.0)) assert_items_almost_equal(self.hsl_col.darker(0.2).hsl, (30, 1, 0.3)) def test_lighter(self): assert_items_almost_equal(self.hsl_col.lighter(0.2), (1.0, 0.7, 0.4, 1.0)) assert_items_almost_equal(self.hsl_col.lighter(0.2).hsl, (30, 1, 0.7)) def test_saturate(self): assert_items_almost_equal(self.hsl_col2.saturate(0.25), (0.875, 0.5, 0.125, 1.0)) assert_items_almost_equal(self.hsl_col2.saturate(0.25).hsl, (30, 0.75, 0.5)) def test_desaturate(self): assert_items_almost_equal(self.hsl_col2.desaturate(0.25), (0.625, 0.5, 0.375, 1.0)) assert_items_almost_equal(self.hsl_col2.desaturate(0.25).hsl, (30, 0.25, 0.5)) def test_websafe_dither(self): dithered = ( (1.0, 0.6, 0.0, 1.0), (1.0, 0.4, 0.0, 1.0)) assert_equal(self.rgb_col.websafe_dither(), dithered) def test_make_gradient(self): gradient = [ (0.75, 0.25, 0.0, 1.0), (0.5, 0.5, 0.0, 1.0), (0.25, 0.75, 0.0, 1.0)] c1 = grapefruit.Color.from_rgb(1.0, 0.0, 0.0) c2 = grapefruit.Color.from_rgb(0.0, 1.0, 0.0) assert_equal(gradient, c1.make_gradient(c2, 3)) def test_complementary_color(self): assert_equal(self.hsl_col.complementary_color(mode='rgb').hsl, (210, 1, 0.5)) def test_make_monochrome_scheme(self): monochrome = ( (0.94, 0.8, 0.66, 1.0), # hsl(30, 0.7, 0.8) (0.6, 0.3, 0.0, 1.0), # hsl(30, 1, 0.3) (0.88, 0.6, 0.32, 1.0), # hsl(30, 0.7, 0.6) (1.0, 0.8, 0.6, 1.0)) # hsl(30, 1, 0.8) scheme = self.rgb_col.make_monochrome_scheme() for i in range(len(monochrome)): assert_items_almost_equal(scheme[i], monochrome[i]) def test_make_triadic_scheme(self): triad = ( (0.0, 1.0, 0.5, 1.0), (0.5, 0.0, 1.0, 1.0)) assert_equal(self.rgb_col.make_triadic_scheme(mode='rgb'), triad) def test_make_tetradic_scheme(self): tetrad = ( (0.5, 1.0, 0.0, 1.0), (0.0, 0.5, 1.0, 1.0), (0.5, 0.0, 1.0, 1.0)) assert_equal(self.rgb_col.make_tetradic_scheme(mode='rgb'), tetrad) def test_make_analogous_scheme(self): scheme = ( (1.0, 0.0, 0.0, 1.0), (1.0, 1.0, 0.0, 1.0)) assert_equal(self.rgb_col.make_analogous_scheme(mode='rgb'), scheme) def test_alpha_blend(self): c1 = grapefruit.Color.from_rgb(1, 0.5, 0, alpha = 0.2) c2 = grapefruit.Color.from_rgb(1, 1, 1, alpha = 0.8) assert_items_almost_equal(c1.alpha_blend(c2), (1, 0.875, 0.75, 0.84)) def test_blend(self): c1 = grapefruit.Color.from_rgb(1, 0.5, 0, alpha = 0.2) c2 = grapefruit.Color.from_rgb(1, 1, 1, alpha = 0.6) assert_equal(c1.blend(c2), (1, 0.75, 0.5, 0.4)) def test_nearest_legal(self): c = grapefruit.Color.from_rgb(1.1, -0.1, 0.5, alpha=1.1) assert_false(c.is_legal) assert_items_almost_equal(c.nearest_legal().rgb, (1.0, 0.0, 0.5)) assert_almost_equal(c.nearest_legal().alpha, 1.0)

42.043396

149

0.668267

4,374

22,283

3.189986

0.057156

0.037985

0.025156

0.119831

0.81108

0.755393

0.716262

0.678349

0.628324

0.588117

0

0.138231

0.153301

22,283

529

150

42.122873

0.601314

0.037248

0

0.173709

0

0.012841

0

0.002615

0

0.448357

1

0.251174

false

0

0.004695

0

0.265258

0

null

0

1

0

null

0

1

0

1

0

5

d0d539bd6ae37bdbeae29f0eb5bf874a548b0cbd

1,021

py

Python

src/python/led_matrix_client/Util.py

janvdb-eu/rpi-rgb-led-matrix-server

71d6352a2172ec9dba5472262e6070d391e6a39c

[ "Apache-2.0" ]

7

2018-04-30T21:05:23.000Z

2022-02-23T05:57:10.000Z

src/python/led_matrix_client/Util.py

janvdb-eu/rpi-rgb-led-matrix-server

71d6352a2172ec9dba5472262e6070d391e6a39c

[ "Apache-2.0" ]

1

2019-02-27T09:23:55.000Z

2019-02-27T09:55:21.000Z

src/python/led_matrix_client/Util.py

janvdbergh/rpi-rgb-led-matrix-server

71d6352a2172ec9dba5472262e6070d391e6a39c

[ "Apache-2.0" ]

null

def to8BitUnsigned(value): return value.to_bytes(length=1, byteorder='little', signed=False) def to16BitUnsigned(value): return value.to_bytes(length=2, byteorder='little', signed=False) def to16BitSigned(value): return value.to_bytes(length=2, byteorder='little', signed=True) def to32BitUnsigned(value): return value.to_bytes(length=4, byteorder='little', signed=False) def toString(text): return to16BitUnsigned(len(text)) + bytearray(text, encoding='ascii') def from16BitUnsigned(buf, offset): bytes = buf[offset:offset + 2] return int.from_bytes(bytes, byteorder='little', signed=False) def from16BitSigned(buf, offset): bytes = buf[offset:offset + 2] return int.from_bytes(bytes, byteorder='little', signed=True) def from32BitUnsigned(buf, offset): bytes = buf[offset:offset + 4] return int.from_bytes(bytes, byteorder='little', signed=False) def fromString(buf, offset): length = from16BitUnsigned(buf, offset) bytes = buf[offset + 2:offset + 2 + length] return bytes.decode('ascii')

25.525

70

0.750245

136

1,021

5.580882

0.242647

0.106719

0.193676

0.171278

0.703557

0.598155

0.408432

0

0.028698

0.112635

1,021

39

71

26.179487

0.809051

0

0.173913

0

0.05093

0

1

0.391304

false

0

0.217391

0.782609

0

null

0

1

0

null

0

1

0

1

0

5

d0e14c8c716c0230bfd4c58f0ea5d42233ed71ac

155

py

Python

CrawlingTest/requests_library.py

KrGil/Python-Practice

4842974fc7c36db035796504734c426cd6426bd2

[ "MIT" ]

null

CrawlingTest/requests_library.py

KrGil/Python-Practice

4842974fc7c36db035796504734c426cd6426bd2

[ "MIT" ]

null

CrawlingTest/requests_library.py

KrGil/Python-Practice

4842974fc7c36db035796504734c426cd6426bd2

[ "MIT" ]

null

import requests # response = requests.get("https://www.naver.com") response = requests.get("https://www.law.go.kr/법령/민법") html = response.text print(html)

25.833333

54

0.722581

24

155

4.666667

0.666667

0.285714

0.339286

0.428571

0.482143

0

0.083871

155

6

55

25.833333

0.788732

0.309677

0

0.254717

0

1

0

false

0

0.25

0

0.25

1

0

null

1

0

1

0

null

0

5

d0f9ac6e3fe1a6e74cf39fcc168eee1735d43163

59

py

Python

exercise_01/exercise_code/networks/__init__.py

Sihifu/i2dl

5beafccc85d29ebc62c37b42674df209b7995c39

[ "RSA-MD" ]

null

exercise_01/exercise_code/networks/__init__.py

Sihifu/i2dl

5beafccc85d29ebc62c37b42674df209b7995c39

[ "RSA-MD" ]

null

exercise_01/exercise_code/networks/__init__.py

Sihifu/i2dl

5beafccc85d29ebc62c37b42674df209b7995c39

[ "RSA-MD" ]

null

"""Definition of all datasets""" from .dummy import Dummy

14.75

32

0.728814

8

59

5.375

0.875

0

0.152542

59

3

33

19.666667

0.86

0.440678

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ef71caa17ca76c7b471101c4010166e23358e5f0

6,458

py

Python

standard-test-functions/StandardTestFunctions.py

Clymsw/xHVI-2020

548162f517d4b052c1f62224dabba566a1290a2e

[ "MIT" ]

null

standard-test-functions/StandardTestFunctions.py

Clymsw/xHVI-2020

548162f517d4b052c1f62224dabba566a1290a2e

[ "MIT" ]

null

standard-test-functions/StandardTestFunctions.py

Clymsw/xHVI-2020

548162f517d4b052c1f62224dabba566a1290a2e

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Wed Mar 11 11:56:23 2020 @author: Clym Stock-Williams """ from deap import benchmarks import numpy as np import os def get_function_definition(function_name: str, num_input_dims: int, num_objectives: int): domain = [] fitnessfunc = None d1x_opt = [] if function_name == "ZDT1": fitnessfunc = lambda ind: benchmarks.zdt1(ind) num_objectives = 2 for i in range(num_input_dims): domain.append({'name': "x_{}]".format(i+1), 'type': 'continuous', 'domain': (0.0, 1.0)}) d1x_opt = np.repeat(0.0, num_input_dims - 1).reshape([1,-1]) d1x_opt = np.repeat(d1x_opt, 1000, 0) d1x_opt = np.hstack((np.linspace(0.0, 1.0, 1000).reshape([-1,1]), d1x_opt)) elif function_name == "ZDT2": fitnessfunc = lambda ind: benchmarks.zdt2(ind) num_objectives = 2 for i in range(num_input_dims): domain.append({'name': "x_{}]".format(i+1), 'type': 'continuous', 'domain': (0.0, 1.0)}) d1x_opt = np.repeat(0.0, num_input_dims - 1).reshape([1,-1]) d1x_opt = np.repeat(d1x_opt, 1000, 0) d1x_opt = np.hstack((np.linspace(0.0, 1.0, 1000).reshape([-1,1]), d1x_opt)) elif function_name == "ZDT3": fitnessfunc = lambda ind: benchmarks.zdt3(ind) num_objectives = 2 for i in range(num_input_dims): domain.append({'name': "x_{}]".format(i+1), 'type': 'continuous', 'domain': (0.0, 1.0)}) d1x_opt = np.repeat(0.0, num_input_dims - 1).reshape([1,-1]) d1x_opt = np.repeat(d1x_opt, 1000, 0) d1x_opt = np.hstack((np.linspace(0.0, 1.0, 1000).reshape([-1,1]), d1x_opt)) elif function_name == "ZDT4": fitnessfunc = lambda ind: benchmarks.zdt4(ind) num_objectives = 2 domain.append({'name': "x_{}]".format(1), 'type': 'continuous', 'domain': (0.0, 1.0)}) for i in range(1, num_input_dims): domain.append({'name': "x_{}]".format(i+1), 'type': 'continuous', 'domain': (-5.0, 5.0)}) d1x_opt = np.repeat(0.0, num_input_dims - 1).reshape([1,-1]) d1x_opt = np.repeat(d1x_opt, 1000, 0) d1x_opt = np.hstack((np.linspace(0.0, 1.0, 1000).reshape([-1,1]), d1x_opt)) elif function_name == "ZDT6": fitnessfunc = lambda ind: benchmarks.zdt6(ind) num_objectives = 2 for i in range(num_input_dims): domain.append({'name': "x_{}]".format(i+1), 'type': 'continuous', 'domain': (0.0, 1.0)}) d1x_opt = np.repeat(0.0, num_input_dims - 1).reshape([1,-1]) d1x_opt = np.repeat(d1x_opt, 1000, 0) d1x_opt = np.hstack((np.linspace(0.0, 1.0, 1000).reshape([-1,1]), d1x_opt)) elif function_name == "KURSAWE": fitnessfunc = lambda ind: benchmarks.kursawe(ind) elif function_name == "POLONI": fitnessfunc = lambda ind: benchmarks.kursawe(ind) elif function_name == "DTLZ1": fitnessfunc = lambda ind: benchmarks.dtlz1(ind, num_objectives) for i in range(num_input_dims): domain.append({'name': "x_{}]".format(i+1), 'type': 'continuous', 'domain': (0.0, 1.0)}) d1x_opt = np.repeat(0.5, num_input_dims - 1).reshape([1,-1]) d1x_opt = np.repeat(d1x_opt, 1000, 0) d1x_opt = np.hstack((np.linspace(0.0, 1.0, 1000).reshape([-1,1]), d1x_opt)) elif function_name == "DTLZ2": fitnessfunc = lambda ind: benchmarks.dtlz2(ind, num_objectives) for i in range(num_input_dims): domain.append({'name': "x_{}]".format(i+1), 'type': 'continuous', 'domain': (0.0, 1.0)}) d1x_opt = np.repeat(0.5, num_input_dims - 1).reshape([1,-1]) d1x_opt = np.repeat(d1x_opt, 1000, 0) d1x_opt = np.hstack((np.linspace(0.0, 1.0, 1000).reshape([-1,1]), d1x_opt)) elif function_name == "DTLZ3": fitnessfunc = lambda ind: benchmarks.dtlz3(ind, num_objectives) for i in range(num_input_dims): domain.append({'name': "x_{}]".format(i+1), 'type': 'continuous', 'domain': (0.0, 1.0)}) d1x_opt = np.repeat(0.5, num_input_dims - 1).reshape([1,-1]) d1x_opt = np.repeat(d1x_opt, 1000, 0) d1x_opt = np.hstack((np.linspace(0.0, 1.0, 1000).reshape([-1,1]), d1x_opt)) elif function_name == "DTLZ4": fitnessfunc = lambda ind: benchmarks.dtlz4(ind, num_objectives, 100) for i in range(num_input_dims): domain.append({'name': "x_{}]".format(i+1), 'type': 'continuous', 'domain': (0.0, 1.0)}) d1x_opt = np.repeat(0.5, num_input_dims - 1).reshape([1,-1]) d1x_opt = np.repeat(d1x_opt, 1000, 0) d1x_opt = np.hstack((np.linspace(0.0, 1.0, 1000).reshape([-1,1]), d1x_opt)) elif function_name == "DTLZ5": fitnessfunc = lambda ind: benchmarks.dtlz5(ind, num_objectives) for i in range(num_input_dims): domain.append({'name': "x_{}]".format(i+1), 'type': 'continuous', 'domain': (0.0, 1.0)}) d1x_opt = np.repeat(0.5, num_input_dims - 1).reshape([1,-1]) d1x_opt = np.repeat(d1x_opt, 1000, 0) d1x_opt = np.hstack((np.linspace(0.0, 1.0, 1000).reshape([-1,1]), d1x_opt)) elif function_name == "DTLZ6": fitnessfunc = lambda ind: benchmarks.dtlz6(ind, num_objectives) for i in range(num_input_dims): domain.append({'name': "x_{}]".format(i+1), 'type': 'continuous', 'domain': (0.0, 1.0)}) d1x_opt = np.repeat(0.5, num_input_dims - 1).reshape([1,-1]) d1x_opt = np.repeat(d1x_opt, 1000, 0) d1x_opt = np.hstack((np.linspace(0.0, 1.0, 1000).reshape([-1,1]), d1x_opt)) elif function_name == "DTLZ7": fitnessfunc = lambda ind: benchmarks.dtlz7(ind, num_objectives) for i in range(num_input_dims): domain.append({'name': "x_{}]".format(i+1), 'type': 'continuous', 'domain': (0.0, 1.0)}) d1x_opt = np.repeat(0.0, num_input_dims - 1).reshape([1,-1]) d1x_opt = np.repeat(d1x_opt, 1000, 0) d1x_opt = np.hstack((np.linspace(0.0, 1.0, 1000).reshape([-1,1]), d1x_opt)) return domain, fitnessfunc, d1x_opt, num_input_dims, num_objectives def get_M2_pareto_front(function_name: str): folder_path = 'Pareto_Fronts_M2' file_name = 'PF_' + function_name + '.csv' return np.genfromtxt(os.path.join(folder_path, file_name), delimiter=',', skip_header=0)

49.29771

101

0.587798

968

6,458

3.744835

0.094008

0.102621

0.079448

0.026483

0.736552

0.730207

0.72331

0.692414

0

0.08382

0.231496

6,458

131

102

49.29771

0.646585

0.013627

0

0.607477

0

0.073707

0

1

0.018692

false

0

0.028037

0

0.065421

0

null

0

1

0

null

0

5

efadd5142e854761317cf954f2ea5cf90bb5ff90

6,522

py

Python

src/productbert/model/model.py

wbsg-uni-mannheim/productbert-intermediate

4d77b1f82dc57f1716649f94c80db77d080777d3

[ "BSD-3-Clause" ]

7

2021-06-18T01:48:27.000Z

2022-03-23T01:46:08.000Z

src/productbert/model/model.py

Web-based-Systems-Group/productbert-intermediate

4d77b1f82dc57f1716649f94c80db77d080777d3

[ "BSD-3-Clause" ]

5

2021-06-08T22:13:04.000Z

2022-03-12T00:44:19.000Z

src/productbert/model/model.py

Web-based-Systems-Group/productbert-intermediate

4d77b1f82dc57f1716649f94c80db77d080777d3

[ "BSD-3-Clause" ]

2

2021-06-29T18:12:10.000Z

2021-08-18T16:42:22.000Z

import torch import torch.nn as nn import torch.nn.functional as F from base import BaseModel from transformers import BertModel, BertConfig from transformers.modeling_bert import BertOnlyMLMHead class MnistModel(BaseModel): def __init__(self, num_classes=10): super().__init__() self.conv1 = nn.Conv2d(1, 10, kernel_size=5) self.conv2 = nn.Conv2d(10, 20, kernel_size=5) self.conv2_drop = nn.Dropout2d() self.fc1 = nn.Linear(320, 50) self.fc2 = nn.Linear(50, num_classes) def forward(self, x): x = F.relu(F.max_pool2d(self.conv1(x), 2)) x = F.relu(F.max_pool2d(self.conv2_drop(self.conv2(x)), 2)) x = x.view(-1, 320) x = F.relu(self.fc1(x)) x = F.dropout(x, training=self.training) x = self.fc2(x) return F.log_softmax(x, dim=1) class BertModelPoolerLogit(BaseModel): def __init__(self, num_classes=1, freeze_bert=False): super().__init__() self.bert_layer = BertModel.from_pretrained('bert-base-uncased') # Freeze bert layers if freeze_bert: for p in self.bert_layer.parameters(): p.requires_grad = False # Classification layer self.cls_layer = nn.Linear(768, num_classes) self._init_weights_bert(self.cls_layer) def forward(self, seq, token_ids, attn_masks): ''' Inputs: -seq : Tensor of shape [B, T] containing token ids of sequences -attn_masks : Tensor of shape [B, T] containing attention masks to be used to avoid contibution of PAD tokens ''' # Feeding the input to BERT model to obtain contextualized representations _, pooler_output = self.bert_layer(seq, attention_mask=attn_masks, token_type_ids=token_ids) # Feeding cls_rep to the classifier layer logits = self.cls_layer(pooler_output) return logits class BertModelSupplementaryPoolerComputers(BaseModel): def __init__(self, num_classes=1, freeze_bert=False): super().__init__() self.bert_layer = BertModel.from_pretrained('bert-base-uncased') # Freeze bert layers if freeze_bert: for p in self.bert_layer.parameters(): p.requires_grad = False # Classification layer self.cls_layer = nn.Linear(768, num_classes) # computers_new self.load_state_dict(torch.load('saved/models/BERT-computers-pretrain/0708_185939/model_with_head.bin')) def forward(self, seq, token_ids, attn_masks): ''' Inputs: -seq : Tensor of shape [B, T] containing token ids of sequences -attn_masks : Tensor of shape [B, T] containing attention masks to be used to avoid contibution of PAD tokens ''' # Feeding the input to BERT model to obtain contextualized representations _, pooler_output = self.bert_layer(seq, attention_mask=attn_masks, token_type_ids=token_ids) # Feeding cls_rep to the classifier layer logits = self.cls_layer(pooler_output) return logits class BertModelSupplementaryPooler4Cat(BaseModel): def __init__(self, num_classes=1, freeze_bert=False): super().__init__() self.bert_layer = BertModel.from_pretrained('bert-base-uncased') # Freeze bert layers if freeze_bert: for p in self.bert_layer.parameters(): p.requires_grad = False # Classification layer self.cls_layer = nn.Linear(768, num_classes) # computers_new self.load_state_dict(torch.load('saved/models/BERT-4cat-pretrain/0710_094316/model_with_head.bin')) def forward(self, seq, token_ids, attn_masks): ''' Inputs: -seq : Tensor of shape [B, T] containing token ids of sequences -attn_masks : Tensor of shape [B, T] containing attention masks to be used to avoid contibution of PAD tokens ''' # Feeding the input to BERT model to obtain contextualized representations _, pooler_output = self.bert_layer(seq, attention_mask=attn_masks, token_type_ids=token_ids) # Feeding cls_rep to the classifier layer logits = self.cls_layer(pooler_output) return logits class BertModelSupplementaryPoolerMLM(BaseModel): def __init__(self, num_classes=1, freeze_bert=False): super().__init__() self.bert_layer = BertModel.from_pretrained('bert-base-uncased') # Freeze bert layers if freeze_bert: for p in self.bert_layer.parameters(): p.requires_grad = False # Classification layer self.cls = nn.Linear(768, num_classes) # computers_new + mlm self.load_state_dict(torch.load('saved/models/BERT-computers-pretrain-mlm/0627_114018/model_with_head.bin')) def forward(self, seq, token_ids, attn_masks): ''' Inputs: -seq : Tensor of shape [B, T] containing token ids of sequences -attn_masks : Tensor of shape [B, T] containing attention masks to be used to avoid contibution of PAD tokens ''' # Feeding the input to BERT model to obtain contextualized representations _, pooler_output = self.bert_layer(seq, attention_mask=attn_masks, token_type_ids=token_ids) # Feeding cls_rep to the classifier layer logits = self.cls(pooler_output) return logits class BertModelSupplementaryMLM(BaseModel): def __init__(self, num_classes=1, freeze_bert=False): super().__init__() self.config = BertConfig() self.bert_layer = BertModel.from_pretrained('bert-base-uncased') self.mlm = BertOnlyMLMHead(self.config) self.cls = nn.Linear(768, num_classes) self._init_weights_bert(self.mlm) self._init_weights_bert(self.cls) # Freeze bert layers if freeze_bert: for p in self.bert_layer.parameters(): p.requires_grad = False def forward(self, seq, token_ids, attn_masks): outputs = self.bert_layer( seq, attention_mask=attn_masks, token_type_ids=token_ids ) sequence_output, pooled_output = outputs[:2] prediction_scores = self.mlm(sequence_output) seq_relationship_score = self.cls(pooled_output) outputs = seq_relationship_score, prediction_scores return outputs # (loss), prediction_scores, seq_relationship_score, (hidden_states), (attentions)

36.435754

121

0.659614

836

6,522

4.899522

0.167464

0.036621

0.047607

0.027344

0.779541

0.762695

0.748291

0.72876

0.720459

0.708008

0

0.019085

0.252837

6,522

179

122

36.435754

0.821465

0.233057

0

0.536082

0

0.059677

0.042064

0

1

0.123711

false

0

0.061856

0

0.309278

0

null

0

1

0

null

0

5

efdbb6539d804cdfd4872ccf509d04baae8ac20b

13,319

py

Python

tests/native/test_evaluate.py

bitner/pygeofilter

140aee2f3197044cc18dd111c71e2fcdc516a200

[ "MIT" ]

19

2021-03-30T18:18:10.000Z

2022-03-23T13:53:55.000Z

tests/native/test_evaluate.py

bitner/pygeofilter

140aee2f3197044cc18dd111c71e2fcdc516a200

[ "MIT" ]

20

2021-04-25T10:32:41.000Z

2022-01-21T10:48:30.000Z

tests/native/test_evaluate.py

bitner/pygeofilter

140aee2f3197044cc18dd111c71e2fcdc516a200

[ "MIT" ]

6

2021-06-09T01:07:17.000Z

2022-02-27T16:29:55.000Z

from datetime import date, datetime from dataclasses import dataclass from typing import Optional, List import math from shapely.geometry import Point import pytest from pygeofilter.parsers.ecql import parse from pygeofilter.backends.native.evaluate import NativeEvaluator from pygeofilter import ast @dataclass class Nested: str_attr: str @dataclass class Record: str_attr: str maybe_str_attr: Optional[str] int_attr: int float_attr: float date_attr: date datetime_attr: datetime point_attr: Point array_attr: List[int] nested_attr: Nested @pytest.fixture def data(): data = [ Record( 'this is a test', None, 5, 5.5, date(2010, 1, 1), datetime(2010, 1, 1), Point(1, 1), [2, 3], Nested( 'this is a test' ) ), Record( 'this is another test', 'not null', 8, 8.5, date(2010, 1, 10), datetime(2010, 1, 10), Point(2, 2), [1, 2, 3, 4, 5], Nested( 'this is another test' ) ) ] data[0].extra_attr = 123 return data def filter_(ast, data): filter_expr = NativeEvaluator( math.__dict__, allow_nested_attributes=True, ).evaluate(ast) return [ record for record in data if filter_expr(record) ] @pytest.fixture def data_json(): data = [ { 'type': 'Feature', 'geometry': { 'type': 'Point', 'coordinates': (1, 1) }, 'properties': { 'str_attr': 'this is a test', 'maybe_str_attr': None, 'int_attr': 5, 'float_attr': 5.5, 'date_attr': '2010-01-01', 'datetime_attr': '2010-01-01T00:00:00Z', 'array_attr': [2, 3], 'extra_attr': 123, } }, { 'type': 'Feature', 'geometry': { 'type': 'Point', 'coordinates': (2, 2) }, 'properties': { 'str_attr': 'this is another test', 'maybe_str_attr': 'not null', 'int_attr': 8, 'float_attr': 8.5, 'date_attr': '2010-01-10', 'datetime_attr': '2010-01-10T00:00:00Z', 'array_attr': [1, 2, 3, 4, 5], } }, ] return data def filter_json(ast, data): attr_map = { 'point_attr': 'geometry', '*': 'properties.*' } filter_expr = NativeEvaluator( math.__dict__, attr_map, use_getattr=False ).evaluate(ast) return [ record for record in data if filter_expr(record) ] def test_comparison(data): result = filter_(parse('int_attr = 5'), data) assert len(result) == 1 and result[0] is data[0] result = filter_(parse('int_attr < 6'), data) assert len(result) == 1 and result[0] is data[0] result = filter_(parse('int_attr > 6'), data) assert len(result) == 1 and result[0] is data[1] result = filter_(parse('int_attr <= 5'), data) assert len(result) == 1 and result[0] is data[0] result = filter_(parse('int_attr >= 8'), data) assert len(result) == 1 and result[0] is data[1] result = filter_(parse('int_attr <> 5'), data) assert len(result) == 1 and result[0] is data[1] def test_comparison_json(data_json): result = filter_json(parse('int_attr = 5'), data_json) assert len(result) == 1 and result[0] is data_json[0] result = filter_json(parse('int_attr < 6'), data_json) assert len(result) == 1 and result[0] is data_json[0] result = filter_json(parse('int_attr > 6'), data_json) assert len(result) == 1 and result[0] is data_json[1] result = filter_json(parse('int_attr <= 5'), data_json) assert len(result) == 1 and result[0] is data_json[0] result = filter_json(parse('int_attr >= 8'), data_json) assert len(result) == 1 and result[0] is data_json[1] result = filter_json(parse('int_attr <> 5'), data_json) assert len(result) == 1 and result[0] is data_json[1] def test_combination(data): result = filter_(parse('int_attr = 5 AND float_attr < 6.0'), data) assert len(result) == 1 and result[0] is data[0] result = filter_(parse('int_attr = 5 AND float_attr < 6.0'), data) assert len(result) == 1 and result[0] is data[0] def test_combination_json(data_json): result = filter_json(parse('int_attr = 5 AND float_attr < 6.0'), data_json) assert len(result) == 1 and result[0] is data_json[0] result = filter_json(parse('int_attr = 5 AND float_attr < 6.0'), data_json) assert len(result) == 1 and result[0] is data_json[0] def test_between(data): result = filter_(parse('float_attr BETWEEN 4 AND 6'), data) assert len(result) == 1 and result[0] is data[0] result = filter_(parse('int_attr NOT BETWEEN 4 AND 6'), data) assert len(result) == 1 and result[0] is data[1] def test_between_json(data_json): result = filter_json(parse('float_attr BETWEEN 4 AND 6'), data_json) assert len(result) == 1 and result[0] is data_json[0] result = filter_json(parse('int_attr NOT BETWEEN 4 AND 6'), data_json) assert len(result) == 1 and result[0] is data_json[1] def test_like(data): result = filter_(parse('str_attr LIKE \'this is . test\''), data) assert len(result) == 1 and result[0] is data[0] result = filter_(parse('str_attr LIKE \'this is % test\''), data) assert len(result) == 2 result = filter_(parse('str_attr NOT LIKE \'% another test\''), data) assert len(result) == 1 and result[0] is data[0] result = filter_(parse('str_attr NOT LIKE \'this is . test\''), data) assert len(result) == 1 and result[0] is data[1] result = filter_(parse('str_attr ILIKE \'THIS IS . TEST\''), data) assert len(result) == 1 and result[0] is data[0] result = filter_(parse('str_attr ILIKE \'THIS IS % TEST\''), data) assert len(result) == 2 def test_like_json(data_json): result = filter_json(parse('str_attr LIKE \'this is . test\''), data_json) assert len(result) == 1 and result[0] is data_json[0] result = filter_json(parse('str_attr LIKE \'this is % test\''), data_json) assert len(result) == 2 result = filter_json( parse('str_attr NOT LIKE \'% another test\''), data_json ) assert len(result) == 1 and result[0] is data_json[0] result = filter_json( parse('str_attr NOT LIKE \'this is . test\''), data_json ) assert len(result) == 1 and result[0] is data_json[1] result = filter_json(parse('str_attr ILIKE \'THIS IS . TEST\''), data_json) assert len(result) == 1 and result[0] is data_json[0] result = filter_json(parse('str_attr ILIKE \'THIS IS % TEST\''), data_json) assert len(result) == 2 def test_in(data): result = filter_(parse('int_attr IN ( 1, 2, 3, 4, 5 )'), data) assert len(result) == 1 and result[0] is data[0] result = filter_(parse('int_attr NOT IN ( 1, 2, 3, 4, 5 )'), data) assert len(result) == 1 and result[0] is data[1] def test_in_json(data_json): result = filter_json(parse('int_attr IN ( 1, 2, 3, 4, 5 )'), data_json) assert len(result) == 1 and result[0] is data_json[0] result = filter_json(parse('int_attr NOT IN ( 1, 2, 3, 4, 5 )'), data_json) assert len(result) == 1 and result[0] is data_json[1] def test_null(data): result = filter_(parse('maybe_str_attr IS NULL'), data) assert len(result) == 1 and result[0] is data[0] result = filter_(parse('maybe_str_attr IS NOT NULL'), data) assert len(result) == 1 and result[0] is data[1] def test_null_json(data_json): result = filter_json(parse('maybe_str_attr IS NULL'), data_json) assert len(result) == 1 and result[0] is data_json[0] result = filter_json(parse('maybe_str_attr IS NOT NULL'), data_json) assert len(result) == 1 and result[0] is data_json[1] def test_has_attr(data): result = filter_(parse('extra_attr EXISTS'), data) assert len(result) == 1 and result[0] is data[0] result = filter_(parse('extra_attr DOES-NOT-EXIST'), data) assert len(result) == 1 and result[0] is data[1] def test_has_attr_json(data_json): result = filter_json(parse('extra_attr EXISTS'), data_json) assert len(result) == 1 and result[0] is data_json[0] result = filter_json(parse('extra_attr DOES-NOT-EXIST'), data_json) assert len(result) == 1 and result[0] is data_json[1] def test_temporal(data): result = filter_( parse('date_attr BEFORE 2010-01-08T00:00:00.00Z'), data ) assert len(result) == 1 and result[0] is data[0] result = filter_( parse('date_attr AFTER 2010-01-08T00:00:00.00+01:00'), data ) assert len(result) == 1 and result[0] is data[1] def test_temporal_json(data_json): result = filter_json( parse('date_attr BEFORE 2010-01-08T00:00:00.00Z'), data_json ) assert len(result) == 1 and result[0] is data_json[0] result = filter_json( parse('date_attr AFTER 2010-01-08T00:00:00.00+01:00'), data_json ) assert len(result) == 1 and result[0] is data_json[1] def test_array(data): result = filter_( ast.ArrayEquals( ast.Attribute('array_attr'), [2, 3], ), data ) assert len(result) == 1 and result[0] is data[0] result = filter_( ast.ArrayContains( ast.Attribute('array_attr'), [1, 2, 3, 4], ), data ) assert len(result) == 1 and result[0] is data[1] result = filter_( ast.ArrayContainedBy( ast.Attribute('array_attr'), [1, 2, 3, 4], ), data ) assert len(result) == 1 and result[0] is data[0] result = filter_( ast.ArrayOverlaps( ast.Attribute('array_attr'), [5, 6, 7], ), data ) assert len(result) == 1 and result[0] is data[1] def test_array_json(data_json): result = filter_json( ast.ArrayEquals( ast.Attribute('array_attr'), [2, 3], ), data_json ) assert len(result) == 1 and result[0] is data_json[0] result = filter_json( ast.ArrayContains( ast.Attribute('array_attr'), [1, 2, 3, 4], ), data_json ) assert len(result) == 1 and result[0] is data_json[1] result = filter_json( ast.ArrayContainedBy( ast.Attribute('array_attr'), [1, 2, 3, 4], ), data_json ) assert len(result) == 1 and result[0] is data_json[0] result = filter_json( ast.ArrayOverlaps( ast.Attribute('array_attr'), [5, 6, 7], ), data_json ) assert len(result) == 1 and result[0] is data_json[1] def test_spatial(data): result = filter_( parse('INTERSECTS(point_attr, ENVELOPE (0 1 0 1))'), data, ) assert len(result) == 1 and result[0] is data[0] result = filter_( parse('EQUALS(point_attr, POINT(2 2))'), data, ) assert len(result) == 1 and result[0] is data[1] result = filter_( parse('BBOX(point_attr, 0.5, 0.5, 1.5, 1.5)'), data, ) assert len(result) == 1 and result[0] is data[0] def test_spatial_json(data_json): result = filter_json( parse('INTERSECTS(point_attr, ENVELOPE (0 1 0 1))'), data_json, ) assert len(result) == 1 and result[0] is data_json[0] result = filter_json( parse('EQUALS(point_attr, POINT(2 2))'), data_json, ) assert len(result) == 1 and result[0] is data_json[1] result = filter_json( parse('BBOX(point_attr, 0.5, 0.5, 1.5, 1.5)'), data_json, ) assert len(result) == 1 and result[0] is data_json[0] def test_arithmetic(data): result = filter_( parse('int_attr = float_attr - 0.5'), data, ) assert len(result) == 2 result = filter_( parse('int_attr = 5 + 20 / 2 - 10'), data, ) assert len(result) == 1 and result[0] is data[0] def test_arithmetic_json(data_json): result = filter_json( parse('int_attr = float_attr - 0.5'), data_json, ) assert len(result) == 2 result = filter_json( parse('int_attr = 5 + 20 / 2 - 10'), data_json, ) assert len(result) == 1 and result[0] is data_json[0] def test_function(data): result = filter_( parse('sin(float_attr) BETWEEN -0.75 AND -0.70'), data, ) assert len(result) == 1 and result[0] is data[0] def test_function_json(data_json): result = filter_json( parse('sin(float_attr) BETWEEN -0.75 AND -0.70'), data_json, ) assert len(result) == 1 and result[0] is data_json[0] def test_nested(data): result = filter_( parse('"nested_attr.str_attr" = \'this is a test\''), data, ) assert len(result) == 1 and result[0] is data[0]

26.907071

79

0.57647

1,907

13,319

3.861038

0.059255

0.084748

0.140568

0.136901

0.829146

0.801847

0.773869

0.739916

0.699307

0.679071

0

0.054054

0.288836

13,319

494

80

26.961538

0.72329

0

0.54712

0

0.152339

0.012614

0

0.180628

1

0.075916

false

0

0.02356

0

0.141361

0

null

0

1

0

1

0

null

0

5

5602f9231245540b7cca0ac1cf03b8c68d0445b5

377

py

Python

tomes_darcmail/lib/eaxs/MessageIdType.py

StateArchivesOfNorthCarolina/docker_dmc

c387a4bcd91346bedf3a4c4f242fb7f35d5a81c1

[ "MIT" ]

null

tomes_darcmail/lib/eaxs/MessageIdType.py

StateArchivesOfNorthCarolina/docker_dmc

c387a4bcd91346bedf3a4c4f242fb7f35d5a81c1

[ "MIT" ]

1

2018-11-23T17:04:52.000Z

tomes_darcmail/lib/eaxs/MessageIdType.py

StateArchivesOfNorthCarolina/docker_dmc

c387a4bcd91346bedf3a4c4f242fb7f35d5a81c1

[ "MIT" ]

null

############################################################# # 2016-09-26: MessageIdType.py # Author: Jeremy M. Gibson (State Archives of North Carolina) # # Description: Implementation of message-id-type ############################################################## class MessageId: """""" def __init__(self): """Constructor for MessageId""" pass

25.133333

62

0.440318

29

377

5.586207

0.931034

0

0.025

0.151194

377

14

63

26.928571

0.48125

0.429708

0

1

0.333333

false

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ef05d2aa740bdec1ebb7b20fa40918561cb67d13

20

py

Python

checkov/version.py

honza1a/checkov

3ce607e1cb36dd877eaccb11c351529858c85831

[ "Apache-2.0" ]

1

2021-01-26T12:46:32.000Z

checkov/version.py

honza1a/checkov

3ce607e1cb36dd877eaccb11c351529858c85831

[ "Apache-2.0" ]

null

checkov/version.py

honza1a/checkov

3ce607e1cb36dd877eaccb11c351529858c85831

[ "Apache-2.0" ]

null

version = '1.0.303'

10

19

0.6

4

20

3

1

0

0.294118

0.15

20

1

20

0.411765

0

0.35

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

ef17362ad4d3532e07bc9a1952fac5063a669b18

337

py

Python

configs/deepim/ycbvPbrSO/FlowNet512_1.5AugCosyAAEGray_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_ycbvPbr_SO/FlowNet512_1.5AugCosyAAEGray_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_Pbr_02_03CrackerBox_bop_test.py

THU-DA-6D-Pose-Group/self6dpp

c267cfa55e440e212136a5e9940598720fa21d16

[ "Apache-2.0" ]

33

2021-12-15T07:11:47.000Z

2022-03-29T08:58:32.000Z

configs/deepim/ycbvPbrSO/FlowNet512_1.5AugCosyAAEGray_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_ycbvPbr_SO/FlowNet512_1.5AugCosyAAEGray_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_Pbr_02_03CrackerBox_bop_test.py

THU-DA-6D-Pose-Group/self6dpp

c267cfa55e440e212136a5e9940598720fa21d16

[ "Apache-2.0" ]

3

2021-12-15T11:39:54.000Z

2022-03-29T07:24:23.000Z

configs/deepim/ycbvPbrSO/FlowNet512_1.5AugCosyAAEGray_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_ycbvPbr_SO/FlowNet512_1.5AugCosyAAEGray_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_Pbr_02_03CrackerBox_bop_test.py

THU-DA-6D-Pose-Group/self6dpp

c267cfa55e440e212136a5e9940598720fa21d16

[ "Apache-2.0" ]

null

_base_ = ( "./FlowNet512_1.5AugCosyAAEGray_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_Pbr_01_02MasterChefCan_bop_test.py" ) OUTPUT_DIR = "output/deepim/ycbvPbrSO/FlowNet512_1.5AugCosyAAEGray_AggressiveR_ClipGrad_fxfy1_Dtw01_LogDz_PM10_Flat_ycbvPbr_SO/02_03CrackerBox" DATASETS = dict(TRAIN=("ycbv_003_cracker_box_train_pbr",))

56.166667

143

0.878338

45

337

5.866667

0.711111

0.083333

0.19697

0.280303

0.515152

0

0.096273

0.04451

337

5

144

67.4

0.723602

0

0.807122

0

1

0

false

0

null

0

1

0

1

0

1

null

0

5

ef2e8047d01d664419a4c155b9d5c8cbaa1c2239

81,172

py

Python

flink-ai-flow/ai_flow/test/rest_endpoint/test_client.py

MarvinMiao/flink-ai-extended

e45eecf2deea6976ba3d7ba821ffb8d9ce0a17f4

[ "Apache-2.0", "BSD-2-Clause", "MIT", "ECL-2.0", "BSD-3-Clause" ]

1

2021-06-03T05:37:21.000Z

flink-ai-flow/ai_flow/test/rest_endpoint/test_client.py

sentimentist/flink-ai-extended

689d000f2db8919fd80e0725a1609918ca4a26f4

[ "Apache-2.0", "BSD-2-Clause", "MIT", "ECL-2.0", "BSD-3-Clause" ]

1

2021-01-30T11:28:37.000Z

flink-ai-flow/ai_flow/test/rest_endpoint/test_client.py

sentimentist/flink-ai-extended

689d000f2db8919fd80e0725a1609918ca4a26f4

[ "Apache-2.0", "BSD-2-Clause", "MIT", "ECL-2.0", "BSD-3-Clause" ]

null

# # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. # import os import time import unittest from typing import List from unittest import TestCase from ai_flow.project.project_config import ProjectConfig from notification_service.base_notification import EventWatcher from ai_flow.common.properties import Properties from ai_flow.common.status import Status from ai_flow.meta.example_meta import ExampleMeta, DataType, Schema, ExampleSupportType from ai_flow.meta.job_meta import State from ai_flow.meta.metric_meta import MetricType, MetricMeta, MetricSummary from ai_flow.meta.model_meta import ModelType from ai_flow.model_center.entity.model_version_stage import ModelVersionStage from ai_flow.rest_endpoint.protobuf.message_pb2 import RESOURCE_ALREADY_EXISTS from ai_flow.rest_endpoint.service.client.aiflow_client import AIFlowClient from ai_flow.rest_endpoint.service.exception import AIFlowException from ai_flow.rest_endpoint.service.server import AIFlowServer, HighAvailableAIFlowServer from ai_flow.store.db.base_model import base from ai_flow.test.store.test_sqlalchemy_store import _get_store _SQLITE_DB_FILE = 'aiflow.db' _SQLITE_DB_URI = '%s%s' % ('sqlite:///', _SQLITE_DB_FILE) _PORT = '50051' client = None client1 = None client2 = None class AIFlowClientTestCases(object): """test example""" def test_save_example_get_example_by_id_and_name(self): example = client.register_example(name='example', support_type=ExampleSupportType.EXAMPLE_BATCH, data_type='pandas', data_format='csv', description='it is mq data', stream_uri='mysql://', batch_uri='mysql://', create_time=None, update_time=1000, properties=Properties({'a': 'b'}), name_list=['a'], type_list=[DataType.INT32]) example_id = client.get_example_by_id(2) self.assertIsNone(example_id) example_name = client.get_example_by_name('example') self.assertEqual('example', example.name) self.assertEqual('example', example_name.name) self.assertEqual('pandas', example.data_type) self.assertEqual('pandas', example_name.data_type) def test_save_example_with_catalog_by_id_and_name(self): client.register_example_with_catalog(name='example', support_type=ExampleSupportType.EXAMPLE_BATCH, catalog_name='my_hive', catalog_connection_uri='/path/to/conf', catalog_type='hive', catalog_database='my_db', catalog_table='my_table', catalog_version='2.3.4') example_id = client.get_example_by_id(2) self.assertIsNone(example_id) example_name = client.get_example_by_name('example') self.assertEqual('my_hive', example_name.catalog_name) self.assertEqual('hive', example_name.catalog_type) self.assertEqual('my_db', example_name.catalog_database) self.assertEqual('my_table', example_name.catalog_table) self.assertEqual('/path/to/conf', example_name.catalog_connection_uri) self.assertEqual('2.3.4', example_name.catalog_version) def test_double_register_example(self): example_1 = client.register_example(name='example', support_type=ExampleSupportType.EXAMPLE_BATCH, data_type='pandas', data_format='csv', description='it is mq data', stream_uri='mysql://', properties=Properties({'a': 'b'}), name_list=['a'], type_list=[DataType.INT32]) example_2 = client.register_example(name='example', support_type=ExampleSupportType.EXAMPLE_BATCH, data_type='pandas', data_format='csv', description='it is mq data', stream_uri='mysql://', properties=Properties({'a': 'b'}), name_list=['a'], type_list=[DataType.INT32]) self.assertEqual(example_1.uuid, example_2.uuid) self.assertEqual(example_1.schema.to_json_dict(), example_2.schema.to_json_dict()) self.assertRaises(AIFlowException, client.register_example, name='example', support_type=ExampleSupportType.EXAMPLE_BATCH, data_format='csv', description='it is mq data', stream_uri='mysql://', create_time=round(time.time()), properties=Properties({'a': 'b'}), name_list=['a'], type_list=[DataType.INT32]) def test_list_examples(self): client.register_example(name='example_1', support_type=ExampleSupportType.EXAMPLE_BATCH, data_type='pandas', data_format='csv', description='it is mq data', stream_uri='mysql://', properties=Properties({'a': 'b'}), name_list=['a'], type_list=[DataType.INT32]) client.register_example(name='example_2', support_type=ExampleSupportType.EXAMPLE_STREAM, data_type='numpy', data_format='npz', description='it is', stream_uri='mysql://', properties=Properties({'a': 'b'}), name_list=['a'], type_list=[DataType.INT32]) response_list = client.list_example(5, 0) self.assertEqual(len(response_list), 2) self.assertEqual('example_1', response_list[0].name) self.assertEqual('example_2', response_list[1].name) def test_save_examples_list_example(self): example_1 = ExampleMeta(name='example1', support_type=ExampleSupportType.EXAMPLE_BATCH, data_format='csv', create_time=None, update_time=1000, properties=Properties({'a': 'b'})) schema = Schema(name_list=['a', 'b'], type_list=[DataType.STRING, DataType.INT32]) example_2 = ExampleMeta(name='example2', support_type=ExampleSupportType.EXAMPLE_BATCH, data_format='csv', create_time=None, update_time=1000, properties=Properties({'a': 'b'}), schema=schema) response = client.register_examples([example_1, example_2]) self.assertEqual(len(response), 2) self.assertEqual(1, response[0].uuid) self.assertEqual(2, response[1].uuid) response_list = client.list_example(2, 0) self.assertEqual(2, len(response_list)) self.assertEqual('example1', response_list[0].name) self.assertEqual('example2', response_list[1].name) def test_delete_example(self): example = client.register_example(name='example', support_type=ExampleSupportType.EXAMPLE_BATCH, data_format='csv', description='it is mq data', stream_uri='mysql://', batch_uri='mysql://', create_time=None, update_time=1000, properties=Properties({'a': 'b'}), name_list=['a'], type_list=[DataType.INT32]) self.assertEqual(Status.OK, client.delete_example_by_name(example.name)) self.assertIsNone(client.get_example_by_name(example.name)) self.assertIsNone(client.list_example(1, 0)) def test_update_example(self): client.register_example(name='example', support_type=ExampleSupportType.EXAMPLE_BATCH, data_type='pandas', data_format='csv', description='it is mq data', stream_uri='mysql://', batch_uri='mysql://', create_time=None, update_time=1000, properties=Properties({'a': 'b'}), name_list=['a'], type_list=[DataType.INT32]) update_example = client.update_example(example_name='example', data_type='numpy', data_format='npz', properties=Properties({'kafka': 'localhost:9092'}), name_list=['b'], type_list=[DataType.STRING]) example = client.get_example_by_name('example') self.assertEqual(example.support_type, update_example.support_type) self.assertEqual(example.schema.name_list, update_example.schema.name_list) self.assertEqual(example.schema.type_list, update_example.schema.type_list) self.assertEqual(example.data_type, 'numpy') update_example_1 = client.update_example(example_name='example', catalog_type='hive', catalog_name='my_hive', catalog_database='my_db', catalog_table='my_table') self.assertEqual(update_example_1.catalog_type, 'hive') self.assertEqual(update_example_1.catalog_name, 'my_hive') self.assertEqual(update_example_1.catalog_database, 'my_db') self.assertEqual(update_example_1.catalog_table, 'my_table') """test project""" def test_save_project_get_project_by_id_and_name(self): response = client.register_project(name='project', uri='www.code.com', project_type='GIT') project_id = client.get_project_by_id(response.uuid) project_name = client.get_project_by_name('project') self.assertEqual(project_id.name, 'project') self.assertEqual(project_name.name, 'project') print(project_id) def test_double_register_project(self): client.register_project(name='project', uri='www.code.com', project_type='GIT') client.register_project(name='project', uri='www.code.com', project_type='GIT') self.assertRaises(AIFlowException, client.register_project, name='project', uri='www.code.com', project_type='NOTEBOOK') self.assertRaises(AIFlowException, client.register_project, name='project', user='tom', uri='www.code.com', project_type='GIT') def test_list_project(self): response = client.register_project(name='project', uri='www.code.com', project_type='GIT') client.register_project(name='project1', uri='www.code.com', project_type='GIT') project_list = client.list_project(2, response.uuid - 1) self.assertEqual(2, len(project_list)) self.assertEqual('project', project_list[0].name) self.assertEqual('project1', project_list[1].name) def test_delete_project_by_id(self): project = client.register_project(name='project', uri='www.code.com', project_type='GIT') model = client.register_model_relation(name='model', project_id=project.uuid) work_execution = client.register_workflow_execution(name='execution', project_id=project.uuid, execution_state=State.INIT, workflow_json='workflow.yaml', signature='hdfs://') job = client.register_job(name='job', workflow_execution_id=work_execution.uuid, job_state=State.STARTING, properties=Properties({'a': 'b'}), signature='offset1') client.register_model_version_relation(version='1', model_id=model.uuid, workflow_execution_id=work_execution.uuid) self.assertEqual(client.get_project_by_id(project.uuid).name, 'project') self.assertEqual(client.get_model_relation_by_id(model.uuid).name, 'model') self.assertEqual(client.get_workflow_execution_by_id(work_execution.uuid).name, 'execution') self.assertEqual(client.get_model_version_relation_by_version('1', 1).version, '1') self.assertEqual(client.get_job_by_id(job.uuid).name, 'job') self.assertEqual(Status.OK, client.delete_project_by_id(project.uuid)) self.assertIsNone(client.get_project_by_id(project.uuid)) self.assertIsNone(client.get_model_relation_by_id(model.uuid)) self.assertIsNone(client.get_workflow_execution_by_id(work_execution.uuid)) self.assertIsNone(client.get_model_version_relation_by_version('1', model.uuid)) self.assertIsNone(client.get_job_by_id(job.uuid)) self.assertIsNone(client.list_project(1, 0)) self.assertIsNone(client.list_model_relation(1, 0)) self.assertIsNone(client.list_workflow_execution(1, 0)) self.assertIsNone(client.list_model_version_relation(1, 1, 0)) self.assertIsNone(client.list_job(1, 0)) def test_delete_project_by_name(self): project = client.register_project(name='project', uri='www.code.com', project_type='GIT') model = client.register_model_relation(name='model', project_id=project.uuid) work_execution = client.register_workflow_execution(name='execution', project_id=project.uuid, execution_state=State.INIT, workflow_json='workflow.yaml', signature='hdfs://') job = client.register_job(name='job', workflow_execution_id=work_execution.uuid, job_state=State.STARTING, properties=Properties({'a': 'b'}), signature='offset1') client.register_model_version_relation(version='1', model_id=model.uuid, workflow_execution_id=work_execution.uuid) self.assertEqual(client.get_project_by_id(project.uuid).name, 'project') self.assertEqual(client.get_model_relation_by_id(model.uuid).name, 'model') self.assertEqual(client.get_workflow_execution_by_id(work_execution.uuid).name, 'execution') self.assertEqual(client.get_model_version_relation_by_version('1', 1).version, '1') self.assertEqual(client.get_job_by_id(job.uuid).name, 'job') self.assertEqual(Status.OK, client.delete_project_by_id(project.uuid)) self.assertIsNone(client.get_project_by_name('project')) self.assertIsNone(client.get_model_relation_by_id(model.uuid)) self.assertIsNone(client.get_workflow_execution_by_id(work_execution.uuid)) self.assertIsNone(client.get_model_version_relation_by_version('1', model.uuid)) self.assertIsNone(client.get_job_by_id(job.uuid)) self.assertIsNone(client.list_project(1, 0)) self.assertIsNone(client.list_model_relation(1, 0)) self.assertIsNone(client.list_workflow_execution(1, 0)) self.assertIsNone(client.list_model_version_relation(1, 1, 0)) self.assertIsNone(client.list_job(1, 0)) def test_update_project(self): client.register_project(name='project', uri='www.code.com', project_type='GIT') update_project = client.update_project(project_name='project', uri='git@alibaba.com') project = client.get_project_by_name('project') self.assertEqual(update_project.uri, project.uri) self.assertEqual(update_project.project_type, project.project_type) """test workflow execution""" def test_save_workflow_execution_get_by_id_and_name(self): project = client.register_project(name='project', uri='www.code.com', project_type='GIT') workflow_execution = client.register_workflow_execution(name='execution', project_id=project.uuid, execution_state=State.INIT, workflow_json='workflow.yaml', signature='hdfs://') execution_id = client.get_workflow_execution_by_id(workflow_execution.uuid) execution_name = client.get_workflow_execution_by_name('execution') self.assertEqual('execution', execution_id.name) self.assertEqual('execution', execution_name.name) print(execution_id) def test_list_workflow_execution(self): project = client.register_project(name='project', uri='www.code.com', project_type='GIT') client.register_workflow_execution(name='execution', project_id=project.uuid, execution_state=State.INIT, workflow_json='workflow.yaml', signature='git://') client.register_workflow_execution(name='execution1', project_id=1, execution_state=State.INIT, workflow_json='workflow.yaml', signature='git://') execution_list = client.list_workflow_execution(2, 0) self.assertEqual(2, len(execution_list)) self.assertEqual('execution', execution_list[0].name) self.assertEqual('execution1', execution_list[1].name) for execution in execution_list: print(execution) def test_update_workflow_execution(self): project = client.register_project(name='project', uri='www.code.com', project_type='GIT') client.register_workflow_execution(name='execution', project_id=project.uuid, execution_state=State.INIT, workflow_json='workflow.yaml', signature='git://') now = int(time.time() * 1000) client.update_workflow_execution(execution_name='execution', execution_state=State.FINISHED, end_time=now) execution = client.get_workflow_execution_by_name('execution') self.assertEqual(execution.execution_state, State.FINISHED) self.assertEqual(execution.end_time, now) client.update_workflow_execution(execution_name='execution') execution = client.get_workflow_execution_by_name('execution') self.assertEqual(execution.execution_state, State.FINISHED) self.assertEqual(execution.end_time, now) print(execution.to_json_dict()) def test_update_workflow_execution_end_time(self): project = client.register_project(name='project', uri='www.code.com', project_type='GIT') client.register_workflow_execution(name='execution', project_id=project.uuid, execution_state=State.INIT, workflow_json='workflow.yaml', signature='git://') now = int(time.time() * 1000) self.assertEqual(1, client.update_workflow_execution_end_time(now, 'execution')) self.assertEqual(now, client.get_workflow_execution_by_name('execution').end_time) print(client.get_workflow_execution_by_name('execution')) def test_update_workflow_execution_state(self): project = client.register_project(name='project', uri='www.code.com', project_type='GIT') client.register_workflow_execution(name='execution', project_id=project.uuid, execution_state=State.STARTING, workflow_json='workflow.yaml', signature='git://') self.assertEqual(State.STARTING, client.get_workflow_execution_by_name('execution').execution_state) self.assertEqual(1, client.update_workflow_execution_state(State.FINISHED, 'execution')) self.assertEqual(State.FINISHED, client.get_workflow_execution_by_name('execution').execution_state) print(client.get_workflow_execution_by_name('execution')) def test_delete_workflow_execution_by_id(self): project = client.register_project(name='project', uri='www.code.com', project_type='GIT') workflow_execution = client.register_workflow_execution(name='execution', project_id=project.uuid, start_time=122, execution_state=State.INIT, workflow_json='workflow.yaml', signature='git://') job = client.register_job(name='job', workflow_execution_id=workflow_execution.uuid, job_state=State.STARTING, properties=Properties({'a': 'b'}), signature='offset1') self.assertEqual(client.get_workflow_execution_by_id(workflow_execution.uuid).workflow_json, 'workflow.yaml') self.assertEqual(client.get_job_by_id(job.uuid).name, 'job') self.assertEqual(Status.OK, client.delete_workflow_execution_by_id(workflow_execution.uuid)) self.assertIsNone(client.get_workflow_execution_by_name('execution')) self.assertIsNone(client.get_job_by_name('job')) def test_delete_workflow_execution_by_name(self): project = client.register_project(name='project', uri='www.code.com', project_type='GIT') workflow_execution = client.register_workflow_execution(name='execution', project_id=project.uuid, execution_state=State.INIT, workflow_json='workflow.yaml', signature='git://') client.register_job(name='job', workflow_execution_id=workflow_execution.uuid, job_state=State.STARTING, properties=Properties({'a': 'b'}), signature='offset1') self.assertEqual(client.get_workflow_execution_by_name('execution').name, 'execution') self.assertEqual(client.get_job_by_name('job').name, 'job') self.assertEqual(Status.OK, client.delete_workflow_execution_by_name('execution')) self.assertIsNone(client.get_workflow_execution_by_name('execution')) self.assertIsNone(client.get_job_by_name('job')) """test job""" def test_save_job_get_by_id_and_name(self): project = client.register_project(name='project', uri='www.code.com', project_type='GIT') workflow_execution = client.register_workflow_execution(name='execution', project_id=project.uuid, execution_state=State.INIT, workflow_json='workflow.yaml', signature='git://') response = client.register_job(name='job', workflow_execution_id=workflow_execution.uuid, job_state=State.STARTING, properties=Properties({'a': 'b'}), signature='offset1') job_id = client.get_job_by_id(response.uuid) job_name = client.get_job_by_name('job') self.assertEqual('job', job_id.name) self.assertEqual('job', job_name.name) print(job_id) def test_list_job(self): project = client.register_project(name='project', uri='www.code.com', project_type='GIT') workflow_execution = client.register_workflow_execution(name='execution', project_id=project.uuid, execution_state=State.INIT, workflow_json='workflow.yaml', signature='git://') response = client.register_job(name='job', workflow_execution_id=workflow_execution.uuid, job_state=State.STARTING, properties=Properties({'a': 'b'}), signature='offset1') client.register_job(name='job1', workflow_execution_id=1, job_state=State.STARTING, properties=Properties({'a': 'b'}), signature='offset1') job_list = client.list_job(2, response.uuid - 1) self.assertEqual(2, len(job_list)) self.assertEqual('job', job_list[0].name) self.assertEqual('job1', job_list[1].name) for job in job_list: print(job) def test_update_Job(self): project = client.register_project(name='project', uri='www.code.com', project_type='GIT') workflow_execution = client.register_workflow_execution(name='execution', project_id=project.uuid, execution_state=State.INIT, workflow_json='workflow.yaml', signature='git://') job = client.register_job(name='job', workflow_execution_id=workflow_execution.uuid, job_state=State.STARTING, properties=Properties({'a': 'b'}), signature='offset1') client.update_job(job_name='job', job_state=State.FINISHED) self.assertEqual(client.get_job_by_name('job').job_state, State.FINISHED) self.assertIsNone(client.get_job_by_name('job').end_time) now = int(time.time() * 1000) client.update_job(job_name='job', job_state=None, end_time=now) self.assertEqual(client.get_job_by_name('job').job_state, State.FINISHED) self.assertEqual(client.get_job_by_name('job').end_time, now) def test_update_job(self): project = client.register_project(name='project', uri='www.code.com', project_type='GIT') workflow_execution = client.register_workflow_execution(name='execution', project_id=project.uuid, execution_state=State.INIT, workflow_json='workflow.yaml', signature='git://') job = client.register_job(name='job', workflow_execution_id=workflow_execution.uuid, job_state=State.STARTING, properties=Properties({'a': 'b'}), signature='offset1') job_id = client.get_job_by_id(job.uuid) self.assertEqual(State.STARTING, job_id.job_state) print(client.update_job_state(State.FAILED, 'job')) job_response = client.get_job_by_name('job') self.assertEqual(job_response.job_state, State.FAILED) self.assertEqual(None, job_response.end_time) print(client.update_job_end_time(1000, 'job')) job_response = client.get_job_by_name('job') self.assertEqual(1000, job_response.end_time) def test_delete_job_by_id(self): project = client.register_project(name='project', uri='www.code.com', project_type='GIT') workflow_execution = client.register_workflow_execution(name='execution', project_id=project.uuid, execution_state=State.INIT, workflow_json='workflow.yaml', signature='git://') job = client.register_job(name='job', workflow_execution_id=workflow_execution.uuid, job_state=State.STARTING, properties=Properties({'a': 'b'}), signature='offset1') self.assertEqual(client.get_job_by_id(job.uuid).name, 'job') self.assertEqual(Status.OK, client.delete_job_by_id(job.uuid)) self.assertIsNone(client.get_job_by_id(job.uuid)) def test_delete_job_by_name(self): project = client.register_project(name='project', uri='www.code.com', project_type='GIT') workflow_execution = client.register_workflow_execution(name='execution', project_id=project.uuid, execution_state=State.INIT, workflow_json='workflow.yaml', signature='git://') job = client.register_job(name='job', workflow_execution_id=workflow_execution.uuid, job_state=State.STARTING, properties=Properties({'a': 'b'}), signature='offset1') self.assertEqual(client.get_job_by_id(job.uuid).name, 'job') self.assertEqual(Status.OK, client.delete_job_by_name('job')) self.assertIsNone(client.get_job_by_id(job.uuid)) """test model""" def test_model_api(self): project = client.register_project(name='project', uri='www.code.com', project_type='GIT') model = client.register_model(model_name='test_register_model1', model_type=ModelType.SAVED_MODEL, model_desc='test register model1', project_id=project.uuid) self.assertIsNone(client.get_model_by_name('no')) self.assertIsNone(client.get_model_by_id(2)) self.assertEqual(client.get_model_by_id(model.uuid).name, 'test_register_model1') self.assertEqual(client.get_model_by_name('test_register_model1').name, 'test_register_model1') self.assertEqual(client.get_model_by_name('test_register_model1').model_desc, 'test register model1') client.register_model(model_name='test_register_model2', model_type=ModelType.SAVED_MODEL, model_desc='test register model2', project_id=1) self.assertEqual(len(client.list_model_relation(10, 0)), 2) client.delete_model_by_id(model.uuid) client.delete_model_by_name('test_register_model2') self.assertIsNone(client.list_model_relation(10, 0)) self.assertEqual(len(client.list_registered_models()), 0) def test_get_deployed_model_version(self): project = client.register_project(name='project', uri='www.code.com', project_type='GIT') model = client.register_model(model_name='test_register_model1', model_type=ModelType.SAVED_MODEL, model_desc='test register model1', project_id=project.uuid) model_version = client.register_model_version(model=model.uuid, model_path='/path/to/your/model/version') deployed_model_version = client.get_deployed_model_version(model_name=model.name) self.assertIsNone(deployed_model_version) client.update_model_version(model_name=model.name, model_version=model_version.version, current_stage=ModelVersionStage.DEPLOYED) deployed_model_version = client.get_deployed_model_version(model_name=model.name) self.assertEqual(deployed_model_version.version, model_version.version) self.assertRaises(AIFlowException, client.update_model_version, model_name=model.name, model_version=model_version.version, current_stage=ModelVersionStage.DEPLOYED) def test_save_model_get_id_and_name(self): project = client.register_project(name='project', uri='www.code.com', project_type='GIT') response = client.register_model_relation(name='model', project_id=project.uuid) model_id = client.get_model_relation_by_id(response.uuid) model_name = client.get_model_relation_by_name('model') self.assertEqual(model_id.name, model_name.name) self.assertEqual(1, len(client.list_model_relation(2, response.uuid - 1))) print(model_id) def test_list_model(self): project = client.register_project(name='project', uri='www.code.com', project_type='GIT') client.register_model_relation(name='model', project_id=project.uuid) client.register_model_relation(name='model1', project_id=project.uuid) self.assertEqual(2, len(client.list_model_relation(2, 0))) self.assertEqual('model', client.list_model_relation(2, 0)[0].name) self.assertEqual('model1', client.list_model_relation(2, 0)[1].name) def test_delete_model_by_id(self): project = client.register_project(name='project', uri='www.code.com', project_type='GIT') model_relation = client.register_model_relation(name='model', project_id=project.uuid) workflow_execution = client.register_workflow_execution(name='execution', project_id=project.uuid, execution_state=State.INIT, workflow_json='workflow.yaml', signature='git://') client.register_model_version_relation(version='1', model_id=model_relation.uuid, workflow_execution_id=workflow_execution.uuid) self.assertEqual(client.get_model_version_relation_by_version('1', model_relation.uuid).version, '1') self.assertEqual(client.get_model_relation_by_name('model').name, 'model') self.assertEqual(Status.OK, client.delete_model_relation_by_id(model_relation.uuid)) self.assertIsNone(client.get_model_version_relation_by_version('1', model_relation.uuid)) self.assertIsNone(client.get_model_relation_by_name('model')) def test_delete_model_by_name(self): project = client.register_project(name='project', uri='www.code.com', project_type='GIT') model_relation = client.register_model_relation(name='model', project_id=project.uuid) workflow_execution = client.register_workflow_execution(name='execution', project_id=project.uuid, execution_state=State.INIT, workflow_json='workflow.yaml', signature='git://') client.register_model_version_relation(version='1', model_id=model_relation.uuid, workflow_execution_id=workflow_execution.uuid) self.assertEqual(client.get_model_version_relation_by_version('1', model_relation.uuid).version, '1') self.assertEqual(client.get_model_relation_by_name('model').name, 'model') self.assertEqual(Status.OK, client.delete_model_relation_by_name('model')) self.assertIsNone(client.get_model_version_relation_by_version('1', model_relation.uuid)) self.assertIsNone(client.get_model_relation_by_name('model')) """test model version""" def test_model_version_api(self): project = client.register_project(name='project', uri='www.code.com', project_type='GIT') model = client.register_model(model_name='test_register_model', model_type=ModelType.SAVED_MODEL, model_desc='test register model', project_id=project.uuid) self.assertIsNone(client.get_model_version_by_version('1', model.uuid)) self.assertEqual(client.get_model_by_id(model.uuid).name, 'test_register_model') self.assertEqual(client.get_model_by_name('test_register_model').name, 'test_register_model') workflow_execution = client.register_workflow_execution(name='execution', project_id=project.uuid, execution_state=State.INIT, workflow_json='workflow.yaml', signature='git://') response = client.register_model_version(model=model.uuid, workflow_execution_id=workflow_execution.uuid, model_path='fs://source1.pkl', model_metric='http://metric1', version_desc='test model version 1', current_stage=ModelVersionStage.GENERATED) self.assertEqual(response.version, '1') model_version_meta = client.get_model_version_by_version(response.version, model.uuid) self.assertEqual(model_version_meta.version, '1') self.assertEqual(model_version_meta.model_path, 'fs://source1.pkl') self.assertEqual(model_version_meta.model_metric, 'http://metric1') self.assertIsNone(model_version_meta.model_flavor) self.assertEqual(model_version_meta.version_desc, 'test model version 1') response = client.update_model_version(model_name=model.name, model_version='1', current_stage=ModelVersionStage.DEPLOYED) self.assertEqual(response.current_stage, ModelVersionStage.DEPLOYED) response = client.get_deployed_model_version(model.name) self.assertEqual(response.version, '1') response = client.register_model_version(model=model.uuid, workflow_execution_id=workflow_execution.uuid, model_path='fs://source2.pkl', model_metric='http://metric2', model_flavor='{"flavor.version":2}', version_desc='test model version 2') self.assertEqual(response.version, '2') self.assertEqual(len(client.list_model_version_relation(1, 10, 0)), 2) client.delete_model_version_by_version(version='2', model_id=1) self.assertEqual(len(client.list_model_version_relation(1, 10, 0)), 1) # register model version with deleted model version name response = client.register_model_version(model=model.uuid, workflow_execution_id=workflow_execution.uuid, model_path='fs://source1.pkl', model_metric='http://metric1', version_desc='test model version 1') self.assertEqual(response.version, '2') model_version_meta = client.get_model_version_by_version(response.version, model.uuid) self.assertEqual(model_version_meta.version, '2') self.assertEqual(model_version_meta.model_path, 'fs://source1.pkl') self.assertEqual(model_version_meta.model_metric, 'http://metric1') self.assertIsNone(model_version_meta.model_flavor) self.assertEqual(model_version_meta.version_desc, 'test model version 1') def test_get_latest_model_version(self): project = client.register_project(name='project', uri='www.code.com', project_type='GIT') model = client.register_model(model_name='test_register_model', model_type=ModelType.SAVED_MODEL, model_desc='test register model', project_id=project.uuid) workflow_execution = client.register_workflow_execution(name='execution', project_id=project.uuid, execution_state=State.INIT, workflow_json='workflow.yaml', signature='git://') response_1 = client.register_model_version(model=model.uuid, workflow_execution_id=workflow_execution.uuid, model_path='fs://source1.pkl', model_metric='http://metric1', version_desc='test model version 1', current_stage=ModelVersionStage.GENERATED) new_generated_model_version_1 = client.get_latest_generated_model_version(model.name) new_validated_model_version_1 = client.get_latest_validated_model_version(model.name) self.assertIsNone(new_validated_model_version_1) self.assertEqual(response_1.version, new_generated_model_version_1.version) client.update_model_version(model_name=model.name, model_version=response_1.version, current_stage=ModelVersionStage.VALIDATED) new_validated_model_version_2 = client.get_latest_validated_model_version(model.name) self.assertEqual(new_validated_model_version_2.version, response_1.version) response_2 = client.register_model_version(model=model.uuid, workflow_execution_id=workflow_execution.uuid, model_path='fs://source1.pkl', model_metric='http://metric1', version_desc='test model version 1', current_stage=ModelVersionStage.GENERATED) new_generated_model_version_2 = client.get_latest_generated_model_version(model.name) client.update_model_version(model_name=model.name, model_version=response_2.version, current_stage=ModelVersionStage.VALIDATED) new_validated_model_version_2 = client.get_latest_validated_model_version(model.name) self.assertEqual(new_validated_model_version_2.version, response_2.version) self.assertEqual(response_2.version, new_generated_model_version_2.version) def test_save_model_version_get_by_version(self): project = client.register_project(name='project', uri='www.code.com', project_type='GIT') model = client.register_model_relation(name='model', project_id=project.uuid) workflow_execution = client.register_workflow_execution(name='execution', project_id=project.uuid, execution_state=State.INIT, workflow_json='workflow.yaml', signature='git://') response = client.register_model_version_relation(version='1', model_id=model.uuid, workflow_execution_id=workflow_execution.uuid) self.assertEqual(response.version, '1') self.assertEqual(client.get_model_version_relation_by_version(response.version, model.uuid).version, '1') self.assertEqual(len(client.list_model_version_relation(model.uuid, 2, 0)), 1) print(client.get_model_version_relation_by_version(response.version, model.uuid)) def test_list_model_version(self): project = client.register_project(name='project', uri='www.code.com', project_type='GIT') model = client.register_model_relation(name='model', project_id=project.uuid) workflow_execution = client.register_workflow_execution(name='execution', project_id=project.uuid, execution_state=State.INIT, workflow_json='workflow.yaml', signature='git://') client.register_model_version_relation(version='1', model_id=model.uuid, workflow_execution_id=workflow_execution.uuid) client.register_model_version_relation(version='2', model_id=model.uuid, workflow_execution_id=workflow_execution.uuid) self.assertEqual(len(client.list_model_version_relation(1, 2, 0)), 2) self.assertEqual(client.list_model_version_relation(1, 2, 0)[0].version, '1') self.assertEqual(client.list_model_version_relation(1, 2, 0)[1].version, '2') def test_delete_model_version_by_version(self): project = client.register_project(name='project', uri='www.code.com', project_type='GIT') model = client.register_model_relation(name='model', project_id=project.uuid) workflow_execution = client.register_workflow_execution(name='execution', project_id=project.uuid, execution_state=State.INIT, workflow_json='workflow.yaml', signature='git://') client.register_model_version_relation(version='1', model_id=model.uuid, workflow_execution_id=workflow_execution.uuid) self.assertEqual(client.get_model_version_relation_by_version('1', model.uuid).version, '1') client.delete_model_version_relation_by_version('1', model.uuid) self.assertIsNone(client.get_model_version_relation_by_version('1', model.uuid)) """test artifact""" def test_save_artifact_get_artifact_by_id_and_name(self): artifact = client.register_artifact(name='artifact', data_format='json', batch_uri='./artifact.json') artifact_id = client.get_artifact_by_id(artifact.uuid) artifact_name = client.get_artifact_by_name(artifact.name) self.assertEqual(artifact.data_format, artifact_id.data_format) self.assertEqual('artifact', artifact_name.name) def test_double_save_artifact(self): artifact_1 = client.register_artifact(name='artifact', data_format='json', batch_uri='./artifact.json') artifact_2 = client.register_artifact(name='artifact', data_format='json', batch_uri='./artifact.json') self.assertEqual(artifact_1.to_json_dict(), artifact_2.to_json_dict()) self.assertRaises(AIFlowException, client.register_artifact, name='artifact', data_format='json', batch_uri='./artifact.json', stream_uri='./artifact.json') def test_save_artifact_list_artifact(self): client.register_artifact(name='artifact', data_format='json', batch_uri='./artifact.json') client.register_artifact(name='artifact_1', data_format='json', batch_uri='./artifact.json') self.assertEqual(2, len(client.list_artifact(2, 0))) def test_delete_artifact_by_id_and_name(self): client.register_artifact(name='artifact', data_format='json', batch_uri='./artifact.json') client.register_artifact(name='artifact_1', data_format='json', batch_uri='./artifact.json') self.assertIsNotNone(client.get_artifact_by_id(1)) self.assertIsNotNone(client.get_artifact_by_name('artifact_1')) self.assertEqual(Status.OK, client.delete_artifact_by_id(1)) self.assertEqual(Status.OK, client.delete_artifact_by_name('artifact_1')) self.assertEqual(Status.ERROR, client.delete_artifact_by_name('no artifact')) self.assertIsNone(client.get_artifact_by_id(1)) self.assertIsNone(client.get_artifact_by_name('artifact_1')) def test_update_artifact(self): client.register_artifact(name='artifact', data_format='json', batch_uri='./artifact.json') artifact = client.update_artifact(artifact_name='artifact', data_format='csv', batch_uri='../..') artifact_id = client.get_artifact_by_id(artifact.uuid) self.assertEqual(artifact_id.data_format, 'csv') self.assertEqual(artifact_id.batch_uri, '../..') def test_create_registered_model(self): model_name = 'test_create_registered_model' model_type1 = ModelType.CHECKPOINT model_desc = 'test create registered model' response = client.create_registered_model(model_name=model_name, model_type=model_type1, model_desc=model_desc) self.assertIsNotNone(response) self.assertEqual(response.model_name, model_name) self.assertEqual(response.model_type, model_type1) self.assertEqual(response.model_desc, model_desc) model_type2 = ModelType.SAVED_MODEL with self.assertRaises(AIFlowException) as exception_context: client.create_registered_model(model_name=model_name, model_type=model_type2) assert exception_context.exception.error_code == str(RESOURCE_ALREADY_EXISTS) def test_double_register_model(self): model_name = 'test_create_registered_model' model_type = ModelType.CHECKPOINT model_desc = 'test create registered model' client.create_registered_model(model_name=model_name, model_type=model_type, model_desc=model_desc) client.create_registered_model(model_name=model_name, model_type=model_type, model_desc=model_desc) self.assertRaises(AIFlowException, client.create_registered_model, model_name=model_name, model_type=model_type, model_desc='') project = client.register_project(name='project') client.register_model(model_name=model_name, project_id=project.uuid, model_type=model_type, model_desc=model_desc) client.register_model(model_name=model_name, project_id=project.uuid, model_type=model_type, model_desc=model_desc) self.assertRaises(AIFlowException, client.register_model, model_name=model_name, project_id=project.uuid, model_type=model_type, model_desc='') def test_update_registered_model(self): model_name1 = 'test_update_registered_model1' model_type1 = ModelType.CHECKPOINT model_desc1 = 'test update registered model1' response = client.create_registered_model(model_name=model_name1, model_type=model_type1, model_desc=model_desc1) self.assertIsNotNone(response) self.assertEqual(response.model_name, model_name1) self.assertEqual(response.model_type, model_type1) model_name2 = 'test_update_registered_model2' model_type2 = ModelType.SAVED_MODEL model_desc2 = 'test update registered model2' response = client.update_registered_model(model_name=model_name1, new_name=model_name2, model_type=model_type2, model_desc=model_desc2) self.assertEqual(response.model_name, model_name2) self.assertEqual(response.model_type, model_type2) self.assertEqual(response.model_desc, model_desc2) def test_delete_registered_model(self): model_name = 'test_delete_registered_model' model_type = ModelType.CHECKPOINT model_desc = 'test delete registered model' response = client.create_registered_model(model_name=model_name, model_type=model_type, model_desc=model_desc) self.assertIsNotNone(response) self.assertEqual(response.model_name, model_name) client.delete_registered_model(model_name=model_name) response = client.get_registered_model_detail(model_name=model_name) self.assertIsNone(response) def test_list_registered_model(self): model_name1 = 'test_list_registered_model1' model_type1 = ModelType.CHECKPOINT model_desc1 = 'test list registered model1' response = client.create_registered_model(model_name=model_name1, model_type=model_type1, model_desc=model_desc1) self.assertIsNotNone(response) self.assertEqual(response.model_name, model_name1) self.assertEqual(response.model_type, model_type1) model_name2 = 'test_list_registered_model2' model_type2 = ModelType.SAVED_MODEL model_desc2 = 'test list registered model2' response = client.create_registered_model(model_name=model_name2, model_type=model_type2, model_desc=model_desc2) self.assertIsNotNone(response) self.assertEqual(response.model_name, model_name2) self.assertEqual(response.model_type, model_type2) response = client.list_registered_models() self.assertEqual(len(response), 2) self.assertEqual(response[0].model_name, model_name1) self.assertEqual(response[0].model_type, model_type1) self.assertEqual(response[1].model_name, model_name2) self.assertEqual(response[1].model_type, model_type2) def test_get_registered_model_detail(self): model_name = 'test_get_registered_model_detail' model_type = ModelType.CHECKPOINT model_desc = 'test get registered model detail' response = client.create_registered_model(model_name=model_name, model_type=model_type, model_desc=model_desc) self.assertIsNotNone(response) self.assertEqual(response.model_name, model_name) response = client.get_registered_model_detail(model_name=model_name) self.assertIsNotNone(response) self.assertEqual(response.model_name, model_name) self.assertEqual(response.model_type, model_type) self.assertEqual(response.model_desc, model_desc) model_path1 = 'fs://source1.pkl' model_metric1 = 'http://metric1' model_flavor1 = '{"flavor.version":1}' version_desc1 = 'test get registered model detail1' response = client.create_model_version(model_name=model_name, model_path=model_path1, model_metric=model_metric1, model_flavor=model_flavor1, version_desc=version_desc1) self.assertIsNotNone(response) self.assertEqual(response.model_name, model_name) self.assertEqual(response.model_version, '1') self.assertEqual(response.model_path, model_path1) self.assertEqual(response.model_metric, model_metric1) self.assertEqual(response.model_flavor, model_flavor1) self.assertEqual(response.version_desc, version_desc1) response = client.get_registered_model_detail(model_name=model_name) self.assertIsNotNone(response) self.assertEqual(response.model_name, model_name) self.assertEqual(response.model_type, model_type) self.assertEqual(response.model_desc, model_desc) model_version = response.model_version self.assertEqual(model_version.model_version, '1') self.assertEqual(model_version.model_path, model_path1) self.assertEqual(model_version.model_metric, model_metric1) self.assertEqual(model_version.model_flavor, model_flavor1) self.assertEqual(model_version.version_desc, version_desc1) model_path2 = 'fs://source2.pkl' model_metric2 = 'http://metric2' model_flavor2 = '{"flavor.version":2}' version_desc2 = 'test get registered model detail2' response = client.create_model_version(model_name=model_name, model_path=model_path2, model_metric=model_metric2, model_flavor=model_flavor2, version_desc=version_desc2) self.assertIsNotNone(response) self.assertEqual(response.model_name, model_name) self.assertEqual(response.model_version, '2') self.assertEqual(response.model_path, model_path2) self.assertEqual(response.model_metric, model_metric2) self.assertEqual(response.model_flavor, model_flavor2) self.assertEqual(response.version_desc, version_desc2) response = client.get_registered_model_detail(model_name=model_name) self.assertIsNotNone(response) self.assertEqual(response.model_name, model_name) self.assertEqual(response.model_type, model_type) self.assertEqual(response.model_desc, model_desc) model_version = response.model_version self.assertEqual(model_version.model_version, '2') self.assertEqual(model_version.model_path, model_path2) self.assertEqual(model_version.model_metric, model_metric2) self.assertEqual(model_version.model_flavor, model_flavor2) self.assertEqual(model_version.version_desc, version_desc2) def test_create_model_version(self): model_name = 'test_create_model_version' model_type = ModelType.CHECKPOINT model_desc = 'test create model version' response = client.create_registered_model(model_name=model_name, model_type=model_type, model_desc=model_desc) self.assertIsNotNone(response) self.assertEqual(response.model_name, model_name) model_path1 = 'fs://source1.pkl' model_metric1 = 'http://metric1' model_flavor1 = '{"flavor.version":1}' version_desc1 = 'test create model version1' response = client.create_model_version(model_name=model_name, model_path=model_path1, model_metric=model_metric1, model_flavor=model_flavor1, version_desc=version_desc1) self.assertIsNotNone(response) self.assertEqual(response.model_name, model_name) self.assertEqual(response.model_version, '1') self.assertEqual(response.model_path, model_path1) self.assertEqual(response.model_metric, model_metric1) self.assertEqual(response.model_flavor, model_flavor1) self.assertEqual(response.version_desc, version_desc1) model_path2 = 'fs://source2.pkl' model_metric2 = 'http://metric2' model_flavor2 = '{"flavor.version":2}' version_desc2 = 'test create model version2' response = client.create_model_version(model_name=model_name, model_path=model_path2, model_metric=model_metric2, model_flavor=model_flavor2, version_desc=version_desc2) self.assertIsNotNone(response) self.assertEqual(response.model_name, model_name) self.assertEqual(response.model_version, '2') self.assertEqual(response.model_path, model_path2) self.assertEqual(response.model_metric, model_metric2) self.assertEqual(response.model_flavor, model_flavor2) self.assertEqual(response.version_desc, version_desc2) def test_update_model_version(self): model_name = 'test_update_model_version' model_type = ModelType.CHECKPOINT model_desc = 'test update model version' response = client.create_registered_model(model_name=model_name, model_type=model_type, model_desc=model_desc) self.assertIsNotNone(response) self.assertEqual(response.model_name, model_name) model_path1 = 'fs://source1.pkl' model_metric1 = 'http://metric1' model_flavor1 = '{"flavor.version":1}' version_desc1 = 'test update model version1' version_stage1 = ModelVersionStage.GENERATED response = client.create_model_version(model_name=model_name, model_path=model_path1, model_metric=model_metric1, model_flavor=model_flavor1, version_desc=version_desc1, current_stage=version_stage1) self.assertIsNotNone(response) self.assertEqual(response.model_name, model_name) self.assertEqual(response.model_version, '1') self.assertEqual(response.model_path, model_path1) self.assertEqual(response.model_metric, model_metric1) self.assertEqual(response.model_flavor, model_flavor1) self.assertEqual(response.version_desc, version_desc1) self.assertEqual(response.current_stage, version_stage1) model_path2 = 'fs://source2.pkl' model_metric2 = 'http://metric2' model_flavor2 = '{"flavor.version":2}' version_desc2 = 'test update model version2' version_stage2 = ModelVersionStage.VALIDATED response = client.update_model_version(model_name=model_name, model_version='1', model_path=model_path2, model_metric=model_metric2, model_flavor=model_flavor2, version_desc=version_desc2, current_stage=version_stage2) self.assertIsNotNone(response) self.assertEqual(response.model_name, model_name) self.assertEqual(response.model_version, '1') self.assertEqual(response.model_path, model_path2) self.assertEqual(response.model_metric, model_metric2) self.assertEqual(response.model_flavor, model_flavor2) self.assertEqual(response.version_desc, version_desc2) self.assertEqual(response.current_stage, version_stage2) response = client.update_model_version(model_name=model_name, model_version='1', current_stage=ModelVersionStage.DEPLOYED) self.assertEqual(response.current_stage, ModelVersionStage.DEPLOYED) def test_delete_model_version(self): model_name = 'test_delete_model_version' model_type = ModelType.CHECKPOINT model_desc = 'test delete model version' response = client.create_registered_model(model_name=model_name, model_type=model_type, model_desc=model_desc) self.assertIsNotNone(response) self.assertEqual(response.model_name, model_name) model_path = 'fs://source.pkl' model_metric = 'http://metric' model_flavor = '{"flavor.version":1}' version_desc = 'test delete model version' response = client.create_model_version(model_name=model_name, model_path=model_path, model_metric=model_metric, model_flavor=model_flavor, version_desc=version_desc) self.assertIsNotNone(response) self.assertEqual(response.model_name, model_name) self.assertEqual(response.model_version, '1') self.assertEqual(response.model_path, model_path) self.assertEqual(response.model_metric, model_metric) self.assertEqual(response.model_flavor, model_flavor) self.assertEqual(response.version_desc, version_desc) client.delete_model_version(model_name, '1') response = client.get_model_version_detail(model_name, '1') self.assertIsNone(response) def test_get_model_version_detail(self): model_name = 'test_get_model_version_detail' model_type = ModelType.CHECKPOINT model_desc = 'test get model version detail' response = client.create_registered_model(model_name=model_name, model_type=model_type, model_desc=model_desc) self.assertIsNotNone(response) self.assertEqual(response.model_name, model_name) model_path = 'fs://source.pkl' model_metric = 'http://metric' model_flavor = '{"flavor.version":1}' version_desc = 'test get model version detail' response = client.create_model_version(model_name=model_name, model_path=model_path, model_metric=model_metric, model_flavor=model_flavor, version_desc=version_desc) self.assertIsNotNone(response) self.assertEqual(response.model_name, model_name) self.assertEqual(response.model_version, '1') self.assertEqual(response.model_path, model_path) self.assertEqual(response.model_metric, model_metric) self.assertEqual(response.model_flavor, model_flavor) self.assertEqual(response.version_desc, version_desc) response = client.get_model_version_detail(model_name, '1') self.assertIsNotNone(response) self.assertEqual(response.model_name, model_name) self.assertEqual(response.model_version, '1') self.assertEqual(response.model_path, model_path) self.assertEqual(response.model_metric, model_metric) self.assertEqual(response.model_flavor, model_flavor) self.assertEqual(response.version_desc, version_desc) def test_update_and_list_notification(self): key = 'test_publish_event_key' value1 = 'test_publish_event_value1' response = client.publish_event(key=key, value=value1) self.assertIsNotNone(response) self.assertEqual(response.key, key) self.assertEqual(response.value, value1) self.assertTrue(response.version > 0) notifications = client.list_events(key=key) self.assertEqual(len(notifications), 1) self.assertEqual(notifications[0].key, key) self.assertEqual(notifications[0].value, value1) self.assertEqual(notifications[0].version, response.version) notifications = client.list_events(key=key, version=0) self.assertEqual(len(notifications), 1) self.assertEqual(notifications[0].key, key) self.assertEqual(notifications[0].value, value1) value2 = 'test_publish_event_value2' old_response = response response = client.publish_event(key=key, value=value2) self.assertIsNotNone(response) self.assertEqual(response.version, old_response.version + 1) notifications = client.list_events(key=key) self.assertEqual(len(notifications), 2) self.assertEqual(notifications[1].key, key) self.assertEqual(notifications[1].value, value2) self.assertEqual(notifications[1].version, old_response.version + 1) notifications = client.list_events(key=key, version=old_response.version) self.assertEqual(len(notifications), 1) self.assertEqual(notifications[0].key, key) self.assertEqual(notifications[0].value, value2) old_response = response response = client.publish_event(key=key, value=value2) self.assertIsNotNone(response) self.assertEqual(response.version, old_response.version + 1) notifications = client.list_events(key=key) self.assertEqual(len(notifications), 3) self.assertEqual(notifications[2].key, key) self.assertEqual(notifications[2].value, value2) self.assertEqual(notifications[2].version, old_response.version + 1) notifications = client.list_events(key=key, version=old_response.version) self.assertEqual(len(notifications), 1) self.assertEqual(notifications[0].key, key) self.assertEqual(notifications[0].value, value2) def test_listen_notification(self): class TestWatcher(EventWatcher): def __init__(self, event_type, test_case: TestCase): super(TestWatcher, self).__init__() self.event_type = event_type self.test_case = test_case def process(self, notifications): self.test_case.assertNotEqual(len(notifications), 0) for notification in notifications: print(notification) event_type1 = 'test_listen_notification1' key1 = 'test_listen_notification_key1' client.start_listen_event(key=key1, watcher=TestWatcher(event_type1, self)) client.start_listen_event(key=key1, watcher=TestWatcher(event_type1, self)) client1.start_listen_event(key=key1, watcher=TestWatcher(event_type1, self)) client2.start_listen_event(key=key1, watcher=TestWatcher(event_type1, self)) value1 = 'test_listen_notification_value1' client.publish_event(key=key1, value=value1) value2 = 'test_listen_notification_value2' client.publish_event(key=key1, value=value2) time.sleep(10) value3 = 'test_listen_notification_value3' client.publish_event(key=key1, value=value3) time.sleep(1) client.stop_listen_event(key1) client1.stop_listen_event(key1) client2.stop_listen_event(key1) key2 = 'test_listen_notification_key2' client.publish_event(key=key2, value=value1) client.publish_event(key=key2, value=value2) event_type2 = 'test_listen_notification2' client.start_listen_event(key=key2, watcher=TestWatcher(event_type2, self)) client1.start_listen_event(key=key2, watcher=TestWatcher(event_type2, self)) client2.start_listen_event(key=key2, watcher=TestWatcher(event_type2, self)) time.sleep(10) client.publish_event(key=key2, value=value3) time.sleep(1) client.stop_listen_event(key2) client1.stop_listen_event(key2) client2.stop_listen_event(key2) # def test_submit_workflow(self): # # def create_job(index) -> BaseJob: # job: BaseJob = LocalCMDJob(exec_cmd='echo "hello {}" && sleep 1'.format(str(index)), # job_context=JobContext(), # job_config=BaseJobConfig(engine="cmd_line", platform="local")) # job.instance_id = str(index) # return job # # def create_workflow() -> Workflow: # ex_workflow = Workflow() # for i in range(3): # job = create_job(i) # ex_workflow.add_job(job) # deps = [JobControlEdge(target_node_id='0', source_node_id='2', # signal_config=SignalConfig(signal_key=generate_job_status_key('0'), # signal_value=State.FINISHED.value)), # JobControlEdge(target_node_id='1', source_node_id='2', # signal_config=SignalConfig(signal_key=generate_job_status_key('1'), # signal_value=State.FINISHED.value))] # ex_workflow.add_edges("2", deps) # workflow_meta = client.register_workflow_execution(name=generate_time_str(), # project_id=None, # execution_state=State.INIT, # workflow_json=dumps(ex_workflow)) # ex_workflow.workflow_id = workflow_meta.uuid # return ex_workflow # # workflow = create_workflow() # res = client.submit_workflow(json_utils.dumps(workflow)) # self.assertEqual(0, res[0]) # workflow_id = res[1] # res = client.stop_workflow(workflow_id=workflow_id) # self.assertEqual(0, res[0]) # while client.is_alive_workflow(workflow_id)[1]: # time.sleep(1) # self.assertEqual(1, res[0]) # execution_meta = client.get_workflow_execution_by_id(workflow_id) # self.assertEqual(State.FINISHED, execution_meta.execution_state) def test_dataset_metric_meta(self): project, work_execution, job = self.register_workflow_job() start = round(time.time()) end = start + 1 res = client.register_metric_meta(name='a', dataset_id=1, model_name=None, model_version=None, job_id=job.uuid, start_time=start, end_time=end, uri='/tmp/metric_1', metric_type=MetricType.DATASET, tags='', metric_description='', properties=Properties({'a': 'a'})) client.update_metric_meta(uuid=res[2].uuid, job_id=5) metric_meta_result = client.get_dataset_metric_meta(dataset_id=1) self.assertTrue(isinstance(metric_meta_result[2], MetricMeta)) self.assertEqual(5, metric_meta_result[2].job_id) res = client.register_metric_meta(name='b', dataset_id=1, model_name=None, model_version=None, job_id=job.uuid, start_time=start, end_time=end, uri='/tmp/metric_2', metric_type=MetricType.DATASET, tags='flink', metric_description='', properties=Properties({'b': 'b'})) metric_meta_result = client.get_dataset_metric_meta(dataset_id=1) get_metric_meta = client.get_metric_meta(name=res[2].name) self.assertEqual(res[2].tags, get_metric_meta[2].tags) self.assertTrue(isinstance(metric_meta_result[2], List)) self.assertEqual(2, len(metric_meta_result[2])) @staticmethod def register_workflow_job(): project = client.register_project(name='project') work_execution = client.register_workflow_execution(name='execution', project_id=project.uuid, execution_state=State.INIT, workflow_json='workflow.yaml', signature='hdfs://') job = client.register_job(name='job', workflow_execution_id=work_execution.uuid, job_state=State.STARTING, properties=Properties({'a': 'b'}), signature='offset1') return project, work_execution, job @staticmethod def register_model_and_version(project, work_execution): model_name = 'test_create_registered_model' model_type = ModelType.CHECKPOINT model_desc = 'test create registered model' model = client.register_model(model_name=model_name, project_id=project.uuid, model_type=model_type, model_desc=model_desc) version = client.register_model_version(model=model.uuid, model_path="/tmp", workflow_execution_id=work_execution.uuid) return model, version def test_model_metric_meta(self): project, work_execution, job = self.register_workflow_job() model, version = self.register_model_and_version(project, work_execution) start = round(time.time()) end = start + 1 client.register_metric_meta(name='a', dataset_id=1, model_name=model.name, model_version=version.version, job_id=job.uuid, start_time=start, end_time=end, uri='/tmp/metric_1', metric_type=MetricType.MODEL, tags='', metric_description='', properties=Properties({'a': 'a'})) metric_meta_result = client.get_model_metric_meta(model_name=model.name, model_version=version.version) self.assertTrue(isinstance(metric_meta_result[2], MetricMeta)) client.register_metric_meta(name='b', dataset_id=2, model_name=model.name, model_version=version.version, job_id=3, start_time=start, end_time=end, uri='/tmp/metric_2', metric_type=MetricType.MODEL, tags='', metric_description='', properties=Properties({'b': 'b'})) metric_meta_result = client.get_model_metric_meta(model_name=model.name, model_version=version.version) self.assertTrue(isinstance(metric_meta_result[2], List)) self.assertEqual(2, len(metric_meta_result[2])) client.delete_metric_meta(metric_meta_result[2][0].uuid) metric_meta_result = client.get_model_metric_meta(model_name=model.name, model_version=version.version) self.assertTrue(isinstance(metric_meta_result[2], MetricMeta)) def test_metric_summary(self): metric_summary_result = client.register_metric_summary(metric_id=1, metric_key='a', metric_value='1.0') self.assertTrue(isinstance(metric_summary_result[2], MetricSummary)) client.update_metric_summary(uuid=metric_summary_result[2].uuid, metric_value='5.0') metric_summary_result = client.get_metric_summary(metric_id=1) self.assertTrue(isinstance(metric_summary_result[2], List)) self.assertEqual('5.0', metric_summary_result[2][0].metric_value) client.register_metric_summary(metric_id=1, metric_key='b', metric_value='2.0') metric_summary_result = client.get_metric_summary(metric_id=1) self.assertEqual(2, len(metric_summary_result[2])) client.delete_metric_summary(metric_summary_result[2][0].uuid) metric_summary_result = client.get_metric_summary(metric_id=1) self.assertEqual(1, len(metric_summary_result[2])) class TestAIFlowClientSqlite(AIFlowClientTestCases, unittest.TestCase): @classmethod def setUpClass(cls) -> None: global client, client1, client2 print("TestAIFlowClientSqlite setUpClass") if os.path.exists(_SQLITE_DB_FILE): os.remove(_SQLITE_DB_FILE) cls.server = AIFlowServer(store_uri=_SQLITE_DB_URI, port=_PORT) cls.server.run() client = AIFlowClient(server_uri='localhost:' + _PORT) client1 = AIFlowClient(server_uri='localhost:' + _PORT) client2 = AIFlowClient(server_uri='localhost:' + _PORT) @classmethod def tearDownClass(cls) -> None: client.stop_listen_event() client1.stop_listen_event() client2.stop_listen_event() cls.server.stop() os.remove(_SQLITE_DB_FILE) def setUp(self) -> None: _get_store(_SQLITE_DB_URI) def tearDown(self) -> None: store = _get_store(_SQLITE_DB_URI) base.metadata.drop_all(store.db_engine) class TestAIFlowClientSqliteWithSingleHighAvailableServer( AIFlowClientTestCases, unittest.TestCase): """ Used to ensure the high available server has the same functionality with normal server. """ @classmethod def setUpClass(cls) -> None: global client, client1, client2 print("TestAIFlowClientSqlite setUpClass") if os.path.exists(_SQLITE_DB_FILE): os.remove(_SQLITE_DB_FILE) cls.server = HighAvailableAIFlowServer(store_uri=_SQLITE_DB_URI, port=_PORT, server_uri='localhost:' + _PORT) cls.server.run() config = ProjectConfig() config.set_enable_ha(True) client = AIFlowClient(server_uri='localhost:' + _PORT, project_config=config) client1 = AIFlowClient(server_uri='localhost:' + _PORT, project_config=config) client2 = AIFlowClient(server_uri='localhost:' + _PORT, project_config=config) @classmethod def tearDownClass(cls) -> None: client.stop_listen_event() client.disable_high_availability() client1.stop_listen_event() client1.disable_high_availability() client2.stop_listen_event() client2.disable_high_availability() cls.server.stop() os.remove(_SQLITE_DB_FILE) def setUp(self) -> None: _get_store(_SQLITE_DB_URI) def tearDown(self) -> None: store = _get_store(_SQLITE_DB_URI) base.metadata.drop_all(store.db_engine) if __name__ == '__main__': unittest.main()

60.350929

119

0.62917

8,798

81,172

5.494885

0.041941

0.085016

0.030697

0.041701

0.821157

0.784151

0.734445

0.701493

0.674127

0.636149

0

0.01211

0.274664

81,172

1,344

120

60.395833

0.808992

0.036109

0

0.583699

0

0.073575

0.009021

0

0.318142

1

0.060473

false

0

0.017528

0

0.08326

0.013146

0

null

0

1

0

1

0

null

0

5

ef3518326d775a8a01c6a8e6950c8a4b3dbbcab2

302

py

Python

bin/rdbox/rdbox_node_report.py

rdbox-intec/rdbox-middleware

e7469c68ba745187d1db5514494663a3593164df

[ "MIT" ]

4

2019-04-25T06:30:18.000Z

2020-03-21T05:46:38.000Z

bin/rdbox/rdbox_node_report.py

fukuta-tatsuya-intec/rdbox-middleware

fc1612c655438aaebe5ec289764854b5fa887e09

[ "MIT" ]

21

2020-01-10T02:22:55.000Z

2021-09-27T07:30:46.000Z

bin/rdbox/rdbox_node_report.py

rdbox-intec/rdbox-middleware

e7469c68ba745187d1db5514494663a3593164df

[ "MIT" ]

5

2019-06-21T06:18:05.000Z

2020-09-18T02:28:25.000Z

#!/usr/bin/env python3 # coding: utf-8 class RdboxNodeReport(object): def __init__(self, rdbox_node_list, formatter): self.rdbox_node_list = rdbox_node_list self.formatter = formatter def output_report(self): return self.formatter.output_report(self.rdbox_node_list)

25.166667

65

0.721854

40

302

5.1

0.5

0.176471

0.254902

0.25

0

0.00813

0.18543

302

11

66

27.454545

0.821138

0.115894

0

1

0.333333

false

0

0.166667

0.666667

0

null

0

1

0

null

0

1

0

1

0

5

ef65a9bf4c1e969fa347350934e1b39795f08e07

3,480

py

Python

helpers/gen_bc6h_parser.py

darkuranium/tclib

eb934ec93887eabe5c8a2847d7b86a9511dde260

[ "CC0-1.0" ]

42

2016-09-11T22:05:35.000Z

2022-01-01T14:00:56.000Z

helpers/gen_bc6h_parser.py

darkuranium/tclib

eb934ec93887eabe5c8a2847d7b86a9511dde260

[ "CC0-1.0" ]

15

2016-09-08T13:53:52.000Z

2016-09-11T12:31:52.000Z

helpers/gen_bc6h_parser.py

darkuranium/tclib

eb934ec93887eabe5c8a2847d7b86a9511dde260

[ "CC0-1.0" ]

1

2018-05-12T13:45:55.000Z

# source: https://www.khronos.org/registry/OpenGL/extensions/ARB/ARB_texture_compression_bptc.txt MODEREF = ''' 0 m[1:0],g2[4],b2[4],b3[4],r0[9:0],g0[9:0],b0[9:0],r1[4:0],g3[4],g2[3:0],g1[4:0],b3[0],g3[3:0],b1[4:0],b3[1],b2[3:0],r2[4:0],b3[2],r3[4:0],b3[3] 1 m[1:0],g2[5],g3[4],g3[5],r0[6:0],b3[0],b3[1],b2[4],g0[6:0],b2[5],b3[2],g2[4],b0[6:0],b3[3],b3[5],b3[4],r1[5:0],g2[3:0],g1[5:0],g3[3:0],b1[5:0],b2[3:0],r2[5:0],r3[5:0] 2 m[4:0],r0[9:0],g0[9:0],b0[9:0],r1[4:0],r0[10],g2[3:0],g1[3:0],g0[10],b3[0],g3[3:0],b1[3:0],b0[10],b3[1],b2[3:0],r2[4:0],b3[2],r3[4:0],b3[3] 6 m[4:0],r0[9:0],g0[9:0],b0[9:0],r1[3:0],r0[10],g3[4],g2[3:0],g1[4:0],g0[10],g3[3:0],b1[3:0],b0[10],b3[1],b2[3:0],r2[3:0],b3[0],b3[2],r3[3:0],g2[4],b3[3] 10 m[4:0],r0[9:0],g0[9:0],b0[9:0],r1[3:0],r0[10],b2[4],g2[3:0],g1[3:0],g0[10],b3[0],g3[3:0],b1[4:0],b0[10],b2[3:0],r2[3:0],b3[1],b3[2],r3[3:0],b3[4],b3[3] 14 m[4:0],r0[8:0],b2[4],g0[8:0],g2[4],b0[8:0],b3[4],r1[4:0],g3[4],g2[3:0],g1[4:0],b3[0],g3[3:0],b1[4:0],b3[1],b2[3:0],r2[4:0],b3[2],r3[4:0],b3[3] 18 m[4:0],r0[7:0],g3[4],b2[4],g0[7:0],b3[2],g2[4],b0[7:0],b3[3],b3[4],r1[5:0],g2[3:0],g1[4:0],b3[0],g3[3:0],b1[4:0],b3[1],b2[3:0],r2[5:0],r3[5:0] 22 m[4:0],r0[7:0],b3[0],b2[4],g0[7:0],g2[5],g2[4],b0[7:0],g3[5],b3[4],r1[4:0],g3[4],g2[3:0],g1[5:0],g3[3:0],b1[4:0],b3[1],b2[3:0],r2[4:0],b3[2],r3[4:0],b3[3] 26 m[4:0],r0[7:0],b3[1],b2[4],g0[7:0],b2[5],g2[4],b0[7:0],b3[5],b3[4],r1[4:0],g3[4],g2[3:0],g1[4:0],b3[0],g3[3:0],b1[5:0],b2[3:0],r2[4:0],b3[2],r3[4:0],b3[3] 30 m[4:0],r0[5:0],g3[4],b3[0],b3[1],b2[4],g0[5:0],g2[5],b2[5],b3[2],g2[4],b0[5:0],g3[5],b3[3],b3[5],b3[4],r1[5:0],g2[3:0],g1[5:0],g3[3:0],b1[5:0],b2[3:0],r2[5:0],r3[5:0] 3 m[4:0],r0[9:0],g0[9:0],b0[9:0],r1[9:0],g1[9:0],b1[9:0] 7 m[4:0],r0[9:0],g0[9:0],b0[9:0],r1[8:0],r0[10],g1[8:0],g0[10],b1[8:0],b0[10] 11 m[4:0],r0[9:0],g0[9:0],b0[9:0],r1[7:0],r0[10:11],g1[7:0],g0[10:11],b1[7:0],b0[10:11] 15 m[4:0],r0[9:0],g0[9:0],b0[9:0],r1[3:0],r0[10:15],g1[3:0],g0[10:15],b1[3:0],b0[10:15] ''' INDENT = ' ' FORMAT = 'colors[{endpoint}].c.{channel} |= TCTEX_H_GETBITS(bdata, {offset}, {numbits}) << {firstbit};' import re print('switch(mode)') print('{') for line in MODEREF.splitlines(): line = line.strip() if not line: continue mode, assigns = line.split() mode = int(mode) assigns = assigns.split(',') print('case %u:' % mode) offset = 0 for assign in assigns: m = re.match(r'(\w)(\d?)\[(\d+)(?::(\d+))?\]', assign) assert m data = {} data['channel'] = m.group(1) data['offset'] = offset head = int(m.group(3)) tail = int(m.group(4)) if m.group(4) else head if head >= tail: reverse = False head, tail = tail, head else: reverse = True numbits = tail - head + 1 if m.group(1) == 'm': offset += numbits continue data['endpoint'] = int(m.group(2)) data['numbits'] = numbits data['firstbit'] = head if reverse: data['numbits'] = 1 print(INDENT + '/* begin reverse read */') for i in range(tail - head + 1): data['offset'] = offset + i data['firstbit'] = tail - i print(INDENT + FORMAT.format(**data)) print(INDENT + '/* end reverse read */') else: print(INDENT + FORMAT.format(**data)) offset += numbits print(INDENT + 'break;') print('}')

48.333333

169

0.504885

853

3,480

2.053927

0.112544

0.049087

0.041096

0.034247

0.450913

0.391553

0.368721

0.325342

0.317922

0.310502

0

0.238683

0.162069

3,480

71

170

49.014085

0.36214

0.027299

0

0.126984

0

0.238095

0.626367

0.557198

0

0.015873

1

0

false

0

0.015873

0

0.015873

0.142857

0

null

0

1

0

1

0

1

null

0

5

322c2469fb2374edc92dc36b2ab96b03b241279d

247

py

Python

ambra_sdk/service/entrypoints/case.py

dicomgrid/sdk-python

bb12eed311bad73dfb863917df4dc5cbcd91a447

[ "Apache-2.0" ]

9

2020-04-20T23:45:44.000Z

2021-04-18T11:22:17.000Z

ambra_sdk/service/entrypoints/case.py

dicomgrid/sdk-python

bb12eed311bad73dfb863917df4dc5cbcd91a447

[ "Apache-2.0" ]

13

2020-02-08T16:15:05.000Z

2021-09-13T22:55:28.000Z

ambra_sdk/service/entrypoints/case.py

dicomgrid/sdk-python

bb12eed311bad73dfb863917df4dc5cbcd91a447

[ "Apache-2.0" ]

6

2020-03-25T17:47:45.000Z

2021-04-18T11:22:19.000Z

from ambra_sdk.service.entrypoints.generated.case import \ AsyncCase as GAsyncCase from ambra_sdk.service.entrypoints.generated.case import Case as GCase class Case(GCase): """Case.""" class AsyncCase(GAsyncCase): """AsyncCase."""

20.583333

70

0.740891

30

247

6.033333

0.433333

0.099448

0.132597

0.209945

0.541436

0

0.1417

247

11

71

22.454545

0.853774

0.064777

0

1

0

1

0

true

0

0.4

0

0.8

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

5

326020739936657e23d816035d7843ef864e8ceb

116

py

Python

py/protocols/util/server.py

marin-jovanovic/power-grid-simulator

e618588a3315c9d15b66290ffb86def6daa1dca4

[ "Apache-2.0" ]

null

py/protocols/util/server.py

marin-jovanovic/power-grid-simulator

e618588a3315c9d15b66290ffb86def6daa1dca4

[ "Apache-2.0" ]

null

py/protocols/util/server.py

marin-jovanovic/power-grid-simulator

e618588a3315c9d15b66290ffb86def6daa1dca4

[ "Apache-2.0" ]

null

class Server: def __init__(self, host_name, port): self.host_name = host_name self.port = port

19.333333

40

0.62931

16

116

4.125

0.5

0.363636

0

0.284483

116

5

41

23.2

0.795181

0

1

0.25

false

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

328da3e2a01a3c77391364f9474e6577528f3cdc

120

py

Python

graphgallery/nn/layers/pytorch/conv/__init__.py

kisekizzz/GraphGallery

fd4a1f474c244f774397460ae95935638ef48f5b

[ "MIT" ]

1

2020-11-22T10:14:58.000Z

graphgallery/nn/layers/th_layers/__init__.py

mengliu1998/GraphGallery

025ac09e883f3e1e1b02000e086830c935884a6e

[ "MIT" ]

null

graphgallery/nn/layers/th_layers/__init__.py

mengliu1998/GraphGallery

025ac09e883f3e1e1b02000e086830c935884a6e

[ "MIT" ]

1

2020-11-22T10:14:59.000Z

from .gcn import GraphConvolution from .gat import GraphAttention, SparseGraphAttention from .sgc import SGConvolution

24

53

0.85

13

120

7.846154

0.692308

0

0.116667

120

4

54

30

0.962264

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

32bed033a8e47e38c50ef282d82842765cb112a5

266

py

Python

tests/test_no_config.py

intel/oneContainer-Cloud-Tool

843fd4f6aa2e168ac7a7b544e05b92a7495e1121

[ "BSD-3-Clause" ]

null

tests/test_no_config.py

intel/oneContainer-Cloud-Tool

843fd4f6aa2e168ac7a7b544e05b92a7495e1121

[ "BSD-3-Clause" ]

null

tests/test_no_config.py

intel/oneContainer-Cloud-Tool

843fd4f6aa2e168ac7a7b544e05b92a7495e1121

[ "BSD-3-Clause" ]

3

2021-01-04T10:29:16.000Z

2022-02-19T00:07:15.000Z

"""test no config file.""" import os import onecontainer_cloud_tool.config as config def test_no_config(): """test if config file exists, config_file is created when init is run, this test should fail.""" assert not os.path.isfile(config.CONFIG_FILE)

24.181818

80

0.733083

42

266

4.5

0.595238

0.21164

0.126984

0

0.172932

266

10

81

26.6

0.859091

0.421053

0

0.25

1

0.25

true

0

0.5

0

0.75

0

null

1

0

null

0

1

0

1

0

1

0

5

08661490a7fbb99a4db92bed366d13d03ddd8ed4

38

py

Python

Code/lecture 6/print.py

capacitybuilding/Introduction-to-Computng

77639e53ed53896581c4a8431f32198237ac70dc

[ "MIT" ]

null

Code/lecture 6/print.py

capacitybuilding/Introduction-to-Computng

77639e53ed53896581c4a8431f32198237ac70dc

[ "MIT" ]

null

Code/lecture 6/print.py

capacitybuilding/Introduction-to-Computng

77639e53ed53896581c4a8431f32198237ac70dc

[ "MIT" ]

null

print 'Hello world' print 5 print 4.0

9.5

19

0.736842

8

38

3.5

0.75

0

0.096774

0.184211

38

3

20

12.666667

0.806452

0

0.289474

0

null

0

null

1

0

null

0

1

0

null

0

1

0

1

0

5

0899b4458687cdca80f8a4b25965261dadb86056

195

py

Python

DeepLearning/Deep-Learning-with-PyTorch-Tutorials/lesson46-时间序列表示/main.py

Shadowalker1995/Tutorial-Resource

71fe3d521cf9971f708fa9978e9c685c0dda6ba6

[ "Apache-2.0" ]

null

DeepLearning/Deep-Learning-with-PyTorch-Tutorials/lesson46-时间序列表示/main.py

Shadowalker1995/Tutorial-Resource

71fe3d521cf9971f708fa9978e9c685c0dda6ba6

[ "Apache-2.0" ]

null

DeepLearning/Deep-Learning-with-PyTorch-Tutorials/lesson46-时间序列表示/main.py

Shadowalker1995/Tutorial-Resource

71fe3d521cf9971f708fa9978e9c685c0dda6ba6

[ "Apache-2.0" ]

1

2021-01-08T20:22:26.000Z

import torch import torchnlp from torchnlp import word_to_vector def main(): # vec = word_to_vector.GloVe() vec = word_to_vector.BPEmb() if __name__ == '__main__': main()

10.263158

35

0.666667

26

195

4.461538

0.538462

0.155172

0.310345

0.258621

0

0.235897

195

19

36

10.263158

0.778523

0.14359

0

0.048193

0

1

0.142857

false

0

0.428571

0

0.571429

0

1

0

null

0

1

0

null

0

1

0

1

0

5

08c1fefe323dc769710a79bf86acce51495f3081

1,242

py

Python

open_vsdcli/vsdcli.py

maxiterr/openvsd

5b0b50c67863498cb7972670ea6cdcc79c12624f

[ "Apache-2.0" ]

9

2015-10-15T14:11:03.000Z

2016-11-24T20:35:30.000Z

open_vsdcli/vsdcli.py

maxiterr/openvsd

5b0b50c67863498cb7972670ea6cdcc79c12624f

[ "Apache-2.0" ]

24

2015-10-15T14:37:15.000Z

2020-02-28T10:23:11.000Z

open_vsdcli/vsdcli.py

maxiterr/openvsd

5b0b50c67863498cb7972670ea6cdcc79c12624f

[ "Apache-2.0" ]

6

2015-10-25T21:11:17.000Z

2020-03-05T16:16:05.000Z

# Copyright 2015 Maxime Terras <maxime.terras@numergy.com> # Copyright 2015 Pierre Padrixe <pierre.padrixe@gmail.com> # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. from open_vsdcli.vsd_license import * from open_vsdcli.vsd_enterprise import * from open_vsdcli.vsd_domain import * from open_vsdcli.vsd_subnet import * from open_vsdcli.vsd_user import * from open_vsdcli.vsd_gateway import * from open_vsdcli.vsd_vsp import * from open_vsdcli.vsd_vm import * from open_vsdcli.vsd_vport import * from open_vsdcli.vsd_policy import * from open_vsdcli.vsd_dhcp import * from open_vsdcli.vsd_metadata import * from open_vsdcli.vsd_route import * def main(): vsdcli(obj={}) if __name__ == '__main__': main()

33.567568

78

0.761675

188

1,242

4.851064

0.478723

0.114035

0.199561

0.242325

0.302632

0

0.011594

0.166667

1,242

36

79

34.5

0.869565

0.533816

0

0.014184

0

1

0.058824

true

0

0.764706

0

0.823529

0

null

0

1

0

null

0

1

0

1

0

1

0

5

3ecde0b9662df9cf4c0f7b9c6b5d2671e099c452

174

py

Python

fastmot/__init__.py

hejinIzhanghao/FastMOT

1428a1994c7c3fb041ed04d1cc6051a4a4fae8b0

[ "MIT" ]

null

fastmot/__init__.py

hejinIzhanghao/FastMOT

1428a1994c7c3fb041ed04d1cc6051a4a4fae8b0

[ "MIT" ]

null

fastmot/__init__.py

hejinIzhanghao/FastMOT

1428a1994c7c3fb041ed04d1cc6051a4a4fae8b0

[ "MIT" ]

null

from .videoio import VideoIO from .mot_cv import MOT from .tracker import MultiTracker from .kalman_filter import KalmanFilter from .flow import Flow from .track import Track

29

39

0.833333

26

174

5.5

0.461538

0

0.132184

174

6

40

29

0.94702

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

4117b353f111ba28cb42914c51ee38f1d228b972

120

py

Python

pic-to-ascii.py

TomJamesGray/pic-to-ascii

9bed680050919263c1cc418c4827847a461215e5

[ "MIT" ]

null

pic-to-ascii.py

TomJamesGray/pic-to-ascii

9bed680050919263c1cc418c4827847a461215e5

[ "MIT" ]

null

pic-to-ascii.py

TomJamesGray/pic-to-ascii

9bed680050919263c1cc418c4827847a461215e5

[ "MIT" ]

null

#!/usr/bin/env python3 import sys from pic_to_ascii import main if __name__ == "__main__": main.main(sys.argv[1:])

17.142857

29

0.708333

20

120

3.75

0.75

0.213333

0

0.019608

0.15

120

6

30

20

0.715686

0.175

0

0.081633

0

1

0

true

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

412be2de29843dbe8d33c7f65ccfe2520c9a0c79

127

py

Python

test_project/member/models.py

Yemsheng/goldencage

835f71c7ab882eccb87f42d2bc138d26b6432860

[ "BSD-3-Clause" ]

null

test_project/member/models.py

Yemsheng/goldencage

835f71c7ab882eccb87f42d2bc138d26b6432860

[ "BSD-3-Clause" ]

null

test_project/member/models.py

Yemsheng/goldencage

835f71c7ab882eccb87f42d2bc138d26b6432860

[ "BSD-3-Clause" ]

null

from django.db import models from django.contrib.auth.tests.custom_user import CustomUser class MyUser(CustomUser): pass

18.142857

60

0.80315

18

127

5.611111

0.777778

0.19802

0

0.133858

127

6

61

21.166667

0.918182

0

1

0

true

0.25

0.5

0

0.75

0

1

0

null

0

1

0

null

0

1

0

5

f5ad5d3330c9b3335cd61e6c196e777dedcbade3

21,483

py

Python

third_party/spider/baselines/seq2seq_attention_copy/seq2seq/decoders/schema_attention_decoder.py

chenyangh/tensor2struct-public

d3257cba6d76d3c658a58a78f687d986bdc755cf

[ "MIT" ]

69

2021-04-14T06:35:07.000Z

2022-03-31T18:35:05.000Z

third_party/spider/baselines/seq2seq_attention_copy/seq2seq/decoders/schema_attention_decoder.py

chenyangh/tensor2struct-public

d3257cba6d76d3c658a58a78f687d986bdc755cf

[ "MIT" ]

19

2018-12-17T20:42:11.000Z

2020-02-12T21:29:51.000Z

third_party/spider/baselines/seq2seq_attention_copy/seq2seq/decoders/schema_attention_decoder.py

chenyangh/tensor2struct-public

d3257cba6d76d3c658a58a78f687d986bdc755cf

[ "MIT" ]

22

2019-03-16T05:57:27.000Z

2020-10-25T04:34:54.000Z

# Modified from attention_decoder.py """ A sequence decoder with attention to schema that performs a softmax based on the RNN state. """ from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals from collections import namedtuple import tensorflow as tf from tensorflow.python.ops import variable_scope from seq2seq.decoders.rnn_decoder import RNNDecoder from seq2seq.contrib.seq2seq.helper import CustomHelper class SchemaAttentionDecoderOutput( # added namedtuple: schema_attention_scores", "schema_attention_context" namedtuple("DecoderOutput", [ "logits", "predicted_ids", "cell_output", "attention_scores", "attention_context", "schema_attention_scores", "schema_attention_context" ])): """Augmented decoder output that also includes the attention scores. """ pass class SchemaCopyingAttentionDecoderOutput( # added namedtuple: schema_attention_copy_vals namedtuple("DecoderOutput", [ "logits", "predicted_ids", "cell_output", "attention_scores", "attention_context", "schema_attention_scores", "schema_attention_context", "schema_attention_copy_vals" ])): """Augmented decoder output that also includes the attention scores and copy vals. """ pass class SchemaMapAttentionDecoderOutput( # added namedtuple: "schema_map_attention_scores", "schema_map_attention_context" namedtuple("DecoderOutput", [ "logits", "predicted_ids", "cell_output", "attention_scores", "attention_context", "schema_attention_scores", "schema_attention_context","schema_map_attention_scores", "schema_map_attention_context" ])): """Augmented decoder output that also includes the attention scores. """ pass class SchemaAttentionDecoder(RNNDecoder): """An RNN Decoder that uses attention over an input sequence and a schema. Args: cell: An instance of ` tf.contrib.rnn.RNNCell` helper: An instance of `tf.contrib.seq2seq.Helper` to assist decoding initial_state: A tensor or tuple of tensors used as the initial cell state. vocab_size: Output vocabulary size, i.e. number of units in the softmax layer attention_keys: The sequence used to calculate attention scores. A tensor of shape `[B, T, ...]`. attention_values: The sequence to attend over. A tensor of shape `[B, T, input_dim]`. attention_values_length: Sequence length of the attention values. An int32 Tensor of shape `[B]`. attention_fn: The attention function to use. This function map from `(state, inputs)` to `(attention_scores, attention_context)`. For an example, see `seq2seq.decoder.attention.AttentionLayer`. reverse_scores: Optional, an array of sequence length. If set, reverse the attention scores in the output. This is used for when a reversed source sequence is fed as an input but you want to return the scores in non-reversed order. """ # the definition of schema_attention_function is in models/schema_attention_seq2seq.py def __init__(self, params, mode, vocab_size, attention_keys, attention_values, attention_values_length, attention_fn, # 4 extra values reverse_scores_lengths=None, schema_attention_keys=None, schema_attention_values=None, schema_attention_values_length=None, schema_attention_fn=None, name="schema_attention_decoder"): super(SchemaAttentionDecoder, self).__init__(params, mode, name) self.vocab_size = vocab_size self.attention_keys = attention_keys self.attention_values = attention_values self.attention_values_length = attention_values_length self.attention_fn = attention_fn self.reverse_scores_lengths = reverse_scores_lengths self.schema_attention_keys = schema_attention_keys self.schema_attention_values = schema_attention_values self.schema_attention_values_length = schema_attention_values_length if schema_attention_fn: self.schema_attention_fn = schema_attention_fn else: self.schema_attention_fn = attention_fn @property def output_size(self): return SchemaAttentionDecoderOutput( logits=self.vocab_size, predicted_ids=tf.TensorShape([]), cell_output=self.cell.output_size, attention_scores=tf.shape(self.attention_values)[1:-1], attention_context=self.attention_values.get_shape()[-1], schema_attention_scores=tf.shape(self.schema_attention_values)[1:-1], schema_attention_context=self.schema_attention_values.get_shape()[-1]) @property def output_dtype(self): return SchemaAttentionDecoderOutput( logits=tf.float32, predicted_ids=tf.int32, cell_output=tf.float32, attention_scores=tf.float32, attention_context=tf.float32, schema_attention_scores=tf.float32, schema_attention_context=tf.float32) def initialize(self, name=None): finished, first_inputs = self.helper.initialize() # Concat empty attention context attention_context = tf.zeros([ tf.shape(first_inputs)[0], self.attention_values.get_shape().as_list()[-1] ]) schema_attention_context = tf.zeros([ tf.shape(first_inputs)[0], self.schema_attention_values.get_shape().as_list()[-1] ]) first_inputs = tf.concat([first_inputs, attention_context, schema_attention_context], 1) return finished, first_inputs, self.initial_state def compute_output(self, cell_output, calculate_softmax=True): """Computes the decoder outputs.""" # Compute attention att_scores, attention_context = self.attention_fn( query=cell_output, keys=self.attention_keys, values=self.attention_values, values_length=self.attention_values_length) # there is a key and a schema attention value # which is key? where to find the schema attention function? schema_att_scores, schema_attention_context = self.schema_attention_fn( query=cell_output, keys=self.schema_attention_keys, values=self.schema_attention_values, values_length=self.schema_attention_values_length) softmax_input = None logits = None if calculate_softmax: softmax_input, logits = self._calculate_softmax( [cell_output, attention_context, schema_attention_context]) return softmax_input, logits, att_scores, attention_context, schema_att_scores, schema_attention_context def _calculate_softmax(self, list_of_contexts): softmax_input = tf.contrib.layers.fully_connected( inputs=tf.concat(list_of_contexts, 1), num_outputs=self.cell.output_size, activation_fn=tf.nn.tanh, scope="attention_mix") # Softmax computation logits = tf.contrib.layers.fully_connected( inputs=softmax_input, num_outputs=self.vocab_size, activation_fn=None, scope="logits") return softmax_input, logits def _setup(self, initial_state, helper): self.initial_state = initial_state def att_next_inputs(time, outputs, state, sample_ids, name=None): """Wraps the original decoder helper function to append the attention context. """ finished, next_inputs, next_state = helper.next_inputs( time=time, outputs=outputs, state=state, sample_ids=sample_ids, name=name) next_inputs = tf.concat([next_inputs, outputs.attention_context, outputs.schema_attention_context], 1) return (finished, next_inputs, next_state) self.helper = CustomHelper( initialize_fn=helper.initialize, sample_fn=helper.sample, next_inputs_fn=att_next_inputs) def step(self, time_, inputs, state, name=None): cell_output, cell_state = self.cell(inputs, state) (cell_output_new, logits, attention_scores, attention_context, schema_attention_scores, schema_attention_context) = \ self.compute_output(cell_output) if self.reverse_scores_lengths is not None: attention_scores = tf.reverse_sequence( input=attention_scores, seq_lengths=self.reverse_scores_lengths, seq_dim=1, batch_dim=0) sample_ids = self.helper.sample( time=time_, outputs=logits, state=cell_state) outputs = SchemaAttentionDecoderOutput( logits=logits, predicted_ids=sample_ids, cell_output=cell_output_new, attention_scores=attention_scores, attention_context=attention_context, schema_attention_scores=schema_attention_scores, schema_attention_context=schema_attention_context) finished, next_inputs, next_state = self.helper.next_inputs( time=time_, outputs=outputs, state=cell_state, sample_ids=sample_ids) return (outputs, next_state, next_inputs, finished) class SchemaAttentionCopyingDecoder(SchemaAttentionDecoder): """ The version of SchemaAttentionCopyingDecoder that uses F(score_n, rowembedding_n, h, c, W) to generate a score for the n-th field in the schema. """ def __init__(self, params, mode, vocab_size, attention_keys, attention_values, attention_values_length, attention_fn, reverse_scores_lengths=None, schema_attention_keys=None, schema_attention_values=None, schema_attention_values_length=None, schema_attention_fn=None, name="schema_attention_copying_decoder"): super(SchemaAttentionCopyingDecoder, self).__init__( params, mode, vocab_size, attention_keys, attention_values, attention_values_length, attention_fn, reverse_scores_lengths, schema_attention_keys, schema_attention_values, schema_attention_values_length, schema_attention_fn, name) self.schema_embs = schema_attention_values @property def output_size(self): return SchemaCopyingAttentionDecoderOutput( logits=self.vocab_size, predicted_ids=tf.TensorShape([]), cell_output=self.cell.output_size, attention_scores=tf.shape(self.attention_values)[1:-1], attention_context=self.attention_values.get_shape()[-1], schema_attention_scores=tf.shape(self.schema_attention_values)[1:-1], schema_attention_context=self.schema_attention_values.get_shape()[-1], schema_attention_copy_vals=tf.shape(self.schema_attention_values)[1:-1]) @property def output_dtype(self): return SchemaCopyingAttentionDecoderOutput( logits=tf.float32, predicted_ids=tf.int32, cell_output=tf.float32, attention_scores=tf.float32, attention_context=tf.float32, schema_attention_scores=tf.float32, schema_attention_context=tf.float32, schema_attention_copy_vals=tf.float32) def compute_output(self, cell_output): (softmax_input, logits, att_scores, attention_context, schema_att_scores, schema_attention_context) = super( SchemaAttentionCopyingDecoder, self).compute_output(cell_output) schema_attention_copy_vals = schema_att_scores weighted_schema_embs_size = self.cell.output_size + \ self.attention_values.get_shape().as_list()[-1] weighted_schema_embs = tf.contrib.layers.fully_connected( inputs=self.schema_embs, num_outputs=weighted_schema_embs_size, activation_fn=None, scope="weighted_schema_embs") concatenated = tf.expand_dims( tf.concat([cell_output, attention_context], 1), axis=2) schema_attention_copy_vals = schema_att_scores * tf.squeeze(tf.matmul( weighted_schema_embs, concatenated), axis=2) return softmax_input, logits, att_scores, attention_context, schema_att_scores, schema_attention_context, schema_attention_copy_vals def _setup(self, initial_state, helper): #TODO: Take advantage of inheritance rather than copy-paste self.initial_state = initial_state def att_next_inputs(time, outputs, state, sample_ids, name=None): """Wraps the original decoder helper function to append the attention context. """ finished, next_inputs, next_state = helper.next_inputs( time=time, outputs=outputs, state=state, sample_ids=sample_ids, name=name) next_inputs = tf.concat([next_inputs, outputs.attention_context, outputs.schema_attention_context], 1) return (finished, next_inputs, next_state) self.helper = CustomHelper( initialize_fn=helper.initialize, sample_fn=helper.sample, next_inputs_fn=att_next_inputs) def step(self, time_, inputs, state, name=None): cell_output, cell_state = self.cell(inputs, state) (cell_output_new, logits, attention_scores, attention_context, schema_attention_scores, schema_attention_context, schema_attention_copy_vals) = \ self.compute_output(cell_output) if self.reverse_scores_lengths is not None: attention_scores = tf.reverse_sequence( input=attention_scores, seq_lengths=self.reverse_scores_lengths, seq_dim=1, batch_dim=0) sample_ids = self.helper.sample( time=time_, outputs=logits, state=cell_state) outputs = SchemaCopyingAttentionDecoderOutput( logits=logits, predicted_ids=sample_ids, cell_output=cell_output_new, attention_scores=attention_scores, attention_context=attention_context, schema_attention_scores=schema_attention_scores, schema_attention_context=schema_attention_context, schema_attention_copy_vals=schema_attention_copy_vals) finished, next_inputs, next_state = self.helper.next_inputs( time=time_, outputs=outputs, state=cell_state, sample_ids=sample_ids) return (outputs, next_state, next_inputs, finished) class SchemaMapAttentionDecoder(SchemaAttentionDecoder): """An RNN Decoder that uses attention over an input sequence and a schema and a schema map. Args: cell: An instance of ` tf.contrib.rnn.RNNCell` helper: An instance of `tf.contrib.seq2seq.Helper` to assist decoding initial_state: A tensor or tuple of tensors used as the initial cell state. vocab_size: Output vocabulary size, i.e. number of units in the softmax layer attention_keys: The sequence used to calculate attention scores. A tensor of shape `[B, T, ...]`. attention_values: The sequence to attend over. A tensor of shape `[B, T, input_dim]`. attention_values_length: Sequence length of the attention values. An int32 Tensor of shape `[B]`. attention_fn: The attention function to use. This function map from `(state, inputs)` to `(attention_scores, attention_context)`. For an example, see `seq2seq.decoder.attention.AttentionLayer`. reverse_scores: Optional, an array of sequence length. If set, reverse the attention scores in the output. This is used for when a reversed source sequence is fed as an input but you want to return the scores in non-reversed order. """ def __init__(self, params, mode, vocab_size, attention_keys, attention_values, attention_values_length, attention_fn, reverse_scores_lengths=None, schema_attention_keys=None, schema_attention_values=None, schema_attention_values_length=None, schema_attention_fn=None, schema_map_attention_keys=None, schema_map_attention_values=None, schema_map_attention_values_length=None, schema_map_attention_fn=None, name="schema_map_attention_decoder"): super(SchemaMapAttentionDecoder, self).__init__( params, mode, vocab_size, attention_keys, attention_values, attention_values_length, attention_fn, reverse_scores_lengths, schema_attention_keys, schema_attention_values, schema_attention_values_length, schema_attention_fn, name) self.schema_map_attention_keys = schema_attention_keys self.schema_map_attention_values = schema_attention_values self.schema_map_attention_values_length = schema_attention_values_length if schema_map_attention_fn: self.schema_map_attention_fn = schema_map_attention_fn else: self.schema_map_attention_fn = attention_fn @property def output_size(self): return SchemaMapAttentionDecoderOutput( logits=self.vocab_size, predicted_ids=tf.TensorShape([]), cell_output=self.cell.output_size, attention_scores=tf.shape(self.attention_values)[1:-1], attention_context=self.attention_values.get_shape()[-1], schema_attention_scores=tf.shape(self.schema_attention_values)[1:-1], schema_attention_context=self.schema_attention_values.get_shape()[-1], schema_map_attention_scores=tf.shape(self.schema_map_attention_values)[1:-1], schema_map_attention_context=self.schema_map_attention_values.get_shape()[-1]) @property def output_dtype(self): return SchemaMapAttentionDecoderOutput( logits=tf.float32, predicted_ids=tf.int32, cell_output=tf.float32, attention_scores=tf.float32, attention_context=tf.float32, schema_attention_scores=tf.float32, schema_attention_context=tf.float32, schema_map_attention_scores=tf.float32, schema_map_attention_context=tf.float32) def initialize(self, name=None): (finished, first_inputs, initial_state) = super( SchemaMapAttentionDecoder, self).initialize(name=name) # Concat empty schema map attention context schema_map_attention_context = tf.zeros([ tf.shape(first_inputs)[0], self.schema_attention_values.get_shape().as_list()[-1] ]) first_inputs = tf.concat([first_inputs, schema_map_attention_context], 1) return finished, first_inputs, initial_state def compute_output(self, cell_output, calculate_softmax=True): (softmax_input, logits, att_scores, attention_context, schema_att_scores, schema_attention_context) = super( SchemaMapAttentionDecoder, self).compute_output(cell_output, calculate_softmax=False) with tf.variable_scope("schema_map_att"): (schema_map_att_scores, schema_map_attention_context) = self.schema_map_attention_fn( query=cell_output, keys=self.schema_map_attention_keys, values=self.schema_map_attention_values, values_length=self.schema_map_attention_values_length) if calculate_softmax: softmax_input, logits = self._calculate_softmax( [cell_output, attention_context, schema_attention_context, schema_map_attention_context]) return (softmax_input, logits, att_scores, attention_context, schema_att_scores, schema_attention_context, schema_map_att_scores, schema_map_attention_context) # TODO: Can we use inheritance to make this simpler? def _setup(self, initial_state, helper): self.initial_state = initial_state def att_next_inputs(time, outputs, state, sample_ids, name=None): """Wraps the original decoder helper function to append the attention context. """ finished, next_inputs, next_state = helper.next_inputs( time=time, outputs=outputs, state=state, sample_ids=sample_ids, name=name) next_inputs = tf.concat([next_inputs, outputs.attention_context, outputs.schema_attention_context, outputs.schema_map_attention_context], 1) return (finished, next_inputs, next_state) self.helper = CustomHelper( initialize_fn=helper.initialize, sample_fn=helper.sample, next_inputs_fn=att_next_inputs) def step(self, time_, inputs, state, name=None): cell_output, cell_state = self.cell(inputs, state) (cell_output_new, logits, attention_scores, attention_context, schema_attention_scores, schema_attention_context, schema_map_attention_scores, schema_map_attention_context) = \ self.compute_output(cell_output) if self.reverse_scores_lengths is not None: attention_scores = tf.reverse_sequence( input=attention_scores, seq_lengths=self.reverse_scores_lengths, seq_dim=1, batch_dim=0) sample_ids = self.helper.sample( time=time_, outputs=logits, state=cell_state) outputs = SchemaMapAttentionDecoderOutput( logits=logits, predicted_ids=sample_ids, cell_output=cell_output_new, attention_scores=attention_scores, attention_context=attention_context, schema_attention_scores=schema_attention_scores, schema_attention_context=schema_attention_context, schema_map_attention_scores=schema_map_attention_scores, schema_map_attention_context=schema_map_attention_context) finished, next_inputs, next_state = self.helper.next_inputs( time=time_, outputs=outputs, state=cell_state, sample_ids=sample_ids) return (outputs, next_state, next_inputs, finished)

39.931227

146

0.716939

2,573

21,483

5.642829

0.085115

0.117777

0.04835

0.040568

0.813417

0.779117

0.749019

0.7183

0.687857

0.676286

0

0.006226

0.207513

21,483

537

147

40.005587

0.846579

0.168319

0

0.659794

0

0.033256

0.017336

0

0.003724

0

1

0.061856

false

0.007732

0.023196

0.015464

0.146907

0.002577

0

null

0

1

0

1

0

null

0

5

f5cb5f3190c199b0116ae2b82b945f54eb010a1d

82

py

Python

privex/steem/__main__.py

brianoflondon/steem-async

ece69cb11e44b73a9a9bd8989e3742677c390b19

[ "X11" ]

4

2019-09-14T19:21:07.000Z

2021-11-28T01:44:02.000Z

privex/steem/__main__.py

brianoflondon/steem-async

ece69cb11e44b73a9a9bd8989e3742677c390b19

[ "X11" ]

null

privex/steem/__main__.py

brianoflondon/steem-async

ece69cb11e44b73a9a9bd8989e3742677c390b19

[ "X11" ]

2

2021-06-30T08:23:12.000Z

2021-10-01T23:27:50.000Z

from privex.steem.cli import cli_main if __name__ == '__main__': cli_main()

13.666667

37

0.707317

12

82

4

0.666667

0.291667

0

0.182927

82

5

38

16.4

0.716418

0

0.098765

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

eb33993c0a48c121dc3f54b2cbe7a82e999e3ca3

657

py

Python

2017/Day05.py

hrmorley34/AdventofCode

74590422717fb5c6b80ef3fca226359d354c4aec

[ "MIT" ]

null

2017/Day05.py

hrmorley34/AdventofCode

74590422717fb5c6b80ef3fca226359d354c4aec

[ "MIT" ]

null

2017/Day05.py

hrmorley34/AdventofCode

74590422717fb5c6b80ef3fca226359d354c4aec

[ "MIT" ]

null

# Part 1 def jump1(jumps): j = jumps.split("\n") l = [] for item in j: l += [int(item)] length = len(l) loc = 0 counter = 0 while 0 <= loc and loc < length: counter += 1 jump = l[loc] l[loc] += 1 loc += jump return(counter) # Part 2 def jump2(jumps): j = jumps.split("\n") l = [] for item in j: l += [int(item)] length = len(l) loc = 0 counter = 0 while 0 <= loc and loc < length: counter += 1 jump = l[loc] if jump >= 3: l[loc] -= 1 else: l[loc] += 1 loc += jump return(counter)

18.771429

36

0.429224

91

657

3.098901

0.296703

0.099291

0.053191

0.113475

0.851064

0.673759

0

0.042553

0.427702

657

34

37

19.323529

0.707447

0.019787

0

0.83871

0

0.00624

0

1

0.064516

false

0

0.064516

0

null

0

1

0

1

0

1

0

null

0

5

eb3c3f0a4eeec8c0f59896334820de61936aaac3

46

py

Python

python/testData/paramInfo/ReassignedLambda.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/paramInfo/ReassignedLambda.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/paramInfo/ReassignedLambda.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

z = lambda x,y: x+y y = z y(<arg1>1, <arg2>2)

11.5

19

0.521739

13

46

1.846154

0.615385

0.166667

0

0.111111

0.217391

46

3

20

15.333333

0.555556

0

null

0

null

0

1

null

0

1

0

null

0

1

0

5

eb4619d81ca6a2926f65533e5eb61f9a65095e5b

8,024

py

Python

apps/links/tests/test_usage_api.py

dstl/lighthouse

b810742d9f4cbfac02bf99096542499d25c88b58

[ "MIT" ]

5

2016-05-12T13:47:38.000Z

2020-06-22T07:33:35.000Z

apps/links/tests/test_usage_api.py

dstl/lighthouse

b810742d9f4cbfac02bf99096542499d25c88b58

[ "MIT" ]

7

2016-10-24T12:41:09.000Z

2016-12-08T21:58:18.000Z

apps/links/tests/test_usage_api.py

dstl/lighthouse

b810742d9f4cbfac02bf99096542499d25c88b58

[ "MIT" ]

4

2016-05-12T21:53:21.000Z

2021-04-10T22:02:26.000Z

# (c) Crown Owned Copyright, 2016. Dstl. from datetime import datetime from os import getenv from unittest import mock, skipIf import requests from django.core.urlresolvers import reverse from django.test import LiveServerTestCase from django.utils.timezone import make_aware from ..models import Link from testing.common import make_user class LinkUsageAPITest(LiveServerTestCase): def setUp(self): self.user = make_user() self.link = Link.objects.create( name='Link Linkerly', destination='link.com', owner=self.user, is_external=False, ) def test_get_usage(self): with mock.patch('django.utils.timezone.now') as mock_now: # register usage on a specific day mock_now.return_value = make_aware(datetime(2016, 3, 1, 10, 0, 0)) self.link.register_usage(self.user) mock_now.return_value = make_aware(datetime(2016, 3, 2, 10, 0, 0)) self.link.register_usage(self.user) mock_now.return_value = make_aware(datetime(2016, 3, 2, 10, 15, 0)) self.link.register_usage(self.user) expected_response = [ { 'date': '2016-03-01T10:00:00Z', 'user': self.user.userid, 'duration': 0, }, { 'date': '2016-03-02T10:00:00Z', 'user': self.user.userid, 'duration': 900, } ] link_api_url = '%s%s' % ( self.live_server_url, reverse('api-link-usage', kwargs={'pk': self.link.pk}), ) response = requests.get(link_api_url) self.assertEqual(response.status_code, 200) self.assertEqual(response.json(), expected_response) def test_cannot_get_invalid_link(self): link_api_url = '%s%s' % ( self.live_server_url, reverse('api-link-usage', kwargs={'pk': self.link.pk + 1000}), ) response = requests.get(link_api_url) self.assertEqual(response.status_code, 404) def test_cannot_update_usage_without_user(self): self.assertEquals(self.link.usage_total(), 0) expected_response = {'error': 'user required'} link_api_url = '%s%s' % ( self.live_server_url, reverse('api-link-usage', kwargs={'pk': self.link.pk}), ) response = requests.post(link_api_url) self.assertEqual(response.status_code, 400) self.assertEquals(self.link.usage_total(), 0) self.assertEquals(response.json(), expected_response) def test_cannot_update_usage_with_invalid_user(self): self.assertEquals(self.link.usage_total(), 0) expected_response = {'error': 'no such user'} link_api_url = '%s%s' % ( self.live_server_url, reverse('api-link-usage', kwargs={'pk': self.link.pk}), ) response = requests.post(link_api_url, data={'user': 'easter-bunny'}) self.assertEqual(response.status_code, 400) self.assertEquals(self.link.usage_total(), 0) self.assertEquals(response.json(), expected_response) def test_update_usage(self): self.assertEquals(self.link.usage_total(), 0) expected_response = {'status': 'ok'} link_api_url = '%s%s' % ( self.live_server_url, reverse('api-link-usage', kwargs={'pk': self.link.pk}), ) response = requests.post(link_api_url, data={'user': self.user.slug}) self.assertEqual(response.status_code, 201) self.assertEquals(self.link.usage_total(), 1) self.assertEquals(response.json(), expected_response) def test_update_usage_extends_duration(self): self.assertEquals(self.link.usage_total(), 0) with mock.patch('django.utils.timezone.now') as mock_now: # register usage on a specific day mock_now.return_value = make_aware(datetime(2016, 3, 1, 10, 0, 0)) expected_response = {'status': 'ok'} link_api_url = '%s%s' % ( self.live_server_url, reverse('api-link-usage', kwargs={'pk': self.link.pk}), ) response = requests.post( link_api_url, data={'user': self.user.slug}) self.assertEqual(response.status_code, 201) self.assertEquals(self.link.usage_total(), 1) self.assertEquals(response.json(), expected_response) # register usage shortly after mock_now.return_value = make_aware(datetime(2016, 3, 1, 10, 15, 0)) expected_response = {'status': 'ok'} link_api_url = '%s%s' % ( self.live_server_url, reverse('api-link-usage', kwargs={'pk': self.link.pk}), ) response = requests.post( link_api_url, data={'user': self.user.slug}) self.assertEqual(response.status_code, 201) self.assertEquals(self.link.usage_total(), 1) self.assertEquals(response.json(), expected_response) def test_update_usage_creates_new_usage(self): self.assertEquals(self.link.usage_total(), 0) with mock.patch('django.utils.timezone.now') as mock_now: # register usage on a specific day mock_now.return_value = make_aware(datetime(2016, 3, 1, 10, 0, 0)) expected_response = {'status': 'ok'} link_api_url = '%s%s' % ( self.live_server_url, reverse('api-link-usage', kwargs={'pk': self.link.pk}), ) response = requests.post( link_api_url, data={'user': self.user.slug}) self.assertEqual(response.status_code, 201) self.assertEquals(self.link.usage_total(), 1) self.assertEquals(response.json(), expected_response) # register usage after one hour, triggers new usage stat mock_now.return_value = make_aware(datetime(2016, 3, 1, 11, 15, 0)) expected_response = {'status': 'ok'} link_api_url = '%s%s' % ( self.live_server_url, reverse('api-link-usage', kwargs={'pk': self.link.pk}), ) response = requests.post( link_api_url, data={'user': self.user.slug}) self.assertEqual(response.status_code, 201) self.assertEquals(self.link.usage_total(), 2) self.assertEquals(response.json(), expected_response) # TODO - fix in later v of django # this test is commented out because of a bug in django # https://code.djangoproject.com/ticket/25251 # which means tests will fail because the Link object doesn't exist # after the first TransactionTestCase has happened @skipIf( getenv('TEST_API_USAGE', None) is None, 'Skipping tests that has to be run in isolation because of django bug' ) def test_update_usage_creates_api_usage(self): api = Link.objects.get(pk=2) self.assertEquals(self.link.usage_total(), 0) self.assertEquals(api.usage_total(), 0) link_api_url = '%s%s' % ( self.live_server_url, reverse('api-link-usage', kwargs={'pk': self.link.pk}), ) expected_response = {'status': 'ok'} response = requests.post( link_api_url, data={'user': self.user.slug}) self.assertEqual(response.status_code, 201) self.assertEquals(self.link.usage_total(), 1) self.assertEquals(response.json(), expected_response) self.assertEquals(api.usage_total(), 1) def test_cannot_update_usage_on_nonexistent_link(self): link_api_url = '%s%s' % ( self.live_server_url, reverse('api-link-usage', kwargs={'pk': (self.link.pk + 1000)}), ) response = requests.post( link_api_url, data={'user': self.user.userid}) self.assertEqual(response.status_code, 404)

37.148148

79

0.599202

977

8,024

4.733879

0.157625

0.053622

0.047568

0.072649

0.780541

0.751784

0.733838

0.703784

0.691676

0

0.02966

0.277293

8,024

215

80

37.32093

0.767891

0.058076

0

0.567901

0

0.079115

0.009939

0

0.004651

0.222222

1

0.061728

false

0

0.055556

0

0.123457

0

null

0

1

0

null

0

5

de2ad897350c8980ffcc843bc66b4d7a96ace1ec

136

py

Python

core/__init__.py

JiaMingLin/dlcv_adda

e292eb0e61fc79eb15a16bcf786e834436b09089

[ "Apache-2.0" ]

null

core/__init__.py

JiaMingLin/dlcv_adda

e292eb0e61fc79eb15a16bcf786e834436b09089

[ "Apache-2.0" ]

null

core/__init__.py

JiaMingLin/dlcv_adda

e292eb0e61fc79eb15a16bcf786e834436b09089

[ "Apache-2.0" ]

null

from .adapt import train_tgt from .pretrain import train_src from .test import evaluation __all__ = (train_src, train_tgt, evaluation)

22.666667

44

0.808824

20

136

5.1

0.5

0.215686

0

0.132353

136

5

45

27.2

0.864407

0

1

0

false

0

0.75

0

0.75

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

de5cf7cb4e6ceb1c3b0417d84addfff1a1ab537a

44

py

Python

shapes/__init__.py

haudren/shapes

c00581424396b8e9c187381c72b2efd1dae2eb6b

[ "MIT" ]

4

2018-01-16T15:12:47.000Z

2021-10-06T14:17:58.000Z

shapes/__init__.py

haudren/shapes

c00581424396b8e9c187381c72b2efd1dae2eb6b

[ "MIT" ]

null

shapes/__init__.py

haudren/shapes

c00581424396b8e9c187381c72b2efd1dae2eb6b

[ "MIT" ]

null

#!/usr/bin/env python from shapes import *

11

21

0.704545

7

44

4.428571

1

0

0.159091

44

3

22

14.666667

0.837838

0.454545

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

de5eff9a4b6d5405a6d5c54738713cbf72ac222b

114

py

Python

Python/max/01.py

zSucrilhos/programming

aa0076a4a7084a6064e1e5df258ba0c90cf8ceeb

[ "MIT" ]

null

Python/max/01.py

zSucrilhos/programming

aa0076a4a7084a6064e1e5df258ba0c90cf8ceeb

[ "MIT" ]

4

2020-07-18T03:27:03.000Z

2020-07-18T03:28:37.000Z

Python/max/01.py

zSucrilhos/programming

aa0076a4a7084a6064e1e5df258ba0c90cf8ceeb

[ "MIT" ]

null

# -*- coding: utf-8 -*- a = [1,2,3,4,5,6,7,8, 48, 876,4568,124,355,87,98,68769,98879879,9999999999] print(max(a))

28.5

75

0.614035

25

114

2.8

0.92

0

0.495146

0.096491

114

4

76

28.5

0.184466

0.184211

0

1

0

false

0

0.5

1

0

null

0

1

0

1

0

1

0

null

0

1

0

5

de9547ec1a98f2ef2c1eac559a183f10667ae824

2,879

py

Python

makingVideo.py

schnipdip/MASCALOGICS-Automatic-Reddit-text-to-Video-Generator-and-youtube-uploader

f87676f0e5fca3b720fff42f816e166cb59d8653

[ "MIT" ]

33

2020-08-18T18:48:31.000Z

2022-03-13T15:40:13.000Z

makingVideo.py

schnipdip/MASCALOGICS-Automatic-Reddit-text-to-Video-Generator-and-youtube-uploader

f87676f0e5fca3b720fff42f816e166cb59d8653

[ "MIT" ]

5

2020-08-27T00:56:22.000Z

2022-02-23T10:47:13.000Z

makingVideo.py

schnipdip/MASCALOGICS-Automatic-Reddit-text-to-Video-Generator-and-youtube-uploader

f87676f0e5fca3b720fff42f816e166cb59d8653

[ "MIT" ]

15

2020-08-19T13:14:21.000Z

2022-01-27T10:32:41.000Z

from moviepy.editor import * import os def makingVideo(comments,post_titles,post_bodies): videos=[] folder_path = os.getcwd() flash = VideoFileClip('flash.mp4') flash.fps = 30 # new_audio = r'C:\Users\rajaa\Downloads\Compressed\Reddit-video-generation-master\Reddit-video-generation-master\funny34.mp3' # i=int(1) print('combine function') print(post_titles) for i in range(len(post_titles)): print('this is the making video :{}'.format(i)) audio = AudioFileClip(r'{}\voices\part98'.format(folder_path)+ '-' + str(i)+'.mp3') intro = ImageClip(r'{}\generated\part98'.format(folder_path) + '-' + str(i)+'.jpg', duration = audio.duration ) intro.fps = 30 intro = intro.set_audio(audio) intro = intro.set_end(intro.duration-.3) videos.append(intro) videos.append(flash) for i in range(len(post_bodies)): print('this is the making video :{}'.format(i)) audio = AudioFileClip(r'{}\voices\part97'.format(folder_path) + '-' + str(i) + '.mp3') intro = ImageClip(r'{}\generated\part97'.format(folder_path) + '-' + str(i) + '.jpg', duration=audio.duration) intro.fps = 30 intro = intro.set_audio(audio) intro = intro.set_end(intro.duration - .3) videos.append(intro) videos.append(flash) # for x in range(len(comments)): # # for i in range(len(comments[x])): # audio = AudioFileClip(r'{}\voices\part'.format(folder_path) + str(x) + str(i) + '.mp3') # clip = ImageClip(r'{}\generated\part'.format(folder_path)+str(x) + '-' + str(i)+'.jpg', duration = audio.duration ) # clip.fps = 30 # clip = clip.set_audio(audio) # clip = clip.set_end(clip.duration) # videos.append(clip) # # videos.append(flash) for x in range(len(comments)): # for i in range(len(comments[x])): audio = AudioFileClip(r'{}\voices\part'.format(folder_path) + str(x) + '.mp3') clip = ImageClip(r'{}\generated\part'.format(folder_path) + str(x) + '.jpg', duration=audio.duration) clip.fps = 30 clip = clip.set_audio(audio) clip = clip.set_end(clip.duration) videos.append(clip) videos.append(flash) audio = AudioFileClip(r'{}\voices\part100'.format(folder_path)+'-' + str(x) + '.mp3') clip = ImageClip(r'{}\generated\part100'.format(folder_path) + '-' + str(x) + '.jpg', duration=audio.duration) clip.fps = 30 clip = clip.set_audio(audio) clip = clip.set_end(clip.duration) videos.append(clip) videos.append(flash) final_clip = concatenate(videos) final_clip.write_videofile("final.mp4")

38.905405

131

0.578326

349

2,879

4.684814

0.203438

0.067278

0.097859

0.116208

0.7737

0.730275

0.725382

0

0.018405

0.263981

2,879

73

132

39.438356

0.753185

0.212226

0

0.521739

0

0.122187

0

1

0.021739

false

0

0.043478

0

0.065217

0.086957

0

null

0

1

0

null

0

5

de9b9c6020569a528e1c1b29e16284c5e86a2825

476

py

Python

phablytics/reports/__init__.py

zdammel/phablytics

f4fceb4f2d4f5c35df9fd41a8b3e2e64d7007ac4

[ "MIT" ]

3

2020-06-22T22:05:08.000Z

2020-10-27T19:01:40.000Z

phablytics/reports/__init__.py

zdammel/phablytics

f4fceb4f2d4f5c35df9fd41a8b3e2e64d7007ac4

[ "MIT" ]

2

2020-12-22T22:15:31.000Z

2021-12-14T03:47:19.000Z

phablytics/reports/__init__.py

zdammel/phablytics

f4fceb4f2d4f5c35df9fd41a8b3e2e64d7007ac4

[ "MIT" ]

4

2020-08-27T15:56:01.000Z

2021-05-07T18:03:11.000Z

# Phablytics Imports from phablytics.reports.group_review_status import GroupReviewStatusReport from phablytics.reports.new_project_tasks import NewProjectTasksReport from phablytics.reports.recent_tasks import RecentTasksReport from phablytics.reports.revision_status import RevisionStatusReport from phablytics.reports.upcoming_tasks_due import UpcomingProjectTasksDueReport from phablytics.reports.urgent_and_overdue_project_tasks import UrgentAndOverdueProjectTasksReport

59.5

98

0.915966

50

476

8.48

0.48

0.198113

0.29717

0

0.056723

476

7

99

68

0.944321

0.037815

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

5

dec49a9f27b371b12c2eea50f7ce75cf0f9657cc

276

py

Python

tests/gamestonk_terminal/stocks/options/test_options_api.py

minhhoang1023/GamestonkTerminal

195dc19b491052df080178c0cc6a9d535a91a704

[ "MIT" ]

1

2022-02-18T04:02:52.000Z

tests/gamestonk_terminal/stocks/options/test_options_api.py

minhhoang1023/GamestonkTerminal

195dc19b491052df080178c0cc6a9d535a91a704

[ "MIT" ]

null

tests/gamestonk_terminal/stocks/options/test_options_api.py

minhhoang1023/GamestonkTerminal

195dc19b491052df080178c0cc6a9d535a91a704

[ "MIT" ]

null

# IMPORTATION STANDARD # IMPORTATION THIRDPARTY # IMPORTATION INTERNAL from gamestonk_terminal.helper_classes import ModelsNamespace as _models from gamestonk_terminal.stocks.options import options_api def test_models(): assert isinstance(options_api.models, _models)

23

72

0.836957

32

276

6.96875

0.625

0.116592

0.188341

0

0.115942

276

11

73

25.090909

0.913934

0.231884

0

0.25

1

0.25

true

0

0.5

0

0.75

0

null

0

1

0

null

0

1

0

1

0

1

0

5

7201b334cb44e00248c13fda79fad7647c484557

72

py

Python

tests/test_obj.py

Scotchy/XPipe

723317ab7029725cc58c4fa74c41cf6b3e3151de

[ "MIT" ]

null

tests/test_obj.py

Scotchy/XPipe

723317ab7029725cc58c4fa74c41cf6b3e3151de

[ "MIT" ]

8

2021-11-26T20:28:30.000Z

2022-03-26T23:50:45.000Z

tests/test_obj.py

Scotchy/XPipe

723317ab7029725cc58c4fa74c41cf6b3e3151de

[ "MIT" ]

null

class ObjTest(): def __init__(self, conf): self.conf = conf

18

29

0.597222

9

72

4.333333

0.666667

0.410256

0

0.277778

72

3

30

24

0.75

0

1

0.333333

false

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

724c52c0bf41c1be62e36d552075430e21bbdc59

133

py

Python

scripts/wk/setup/__init__.py

2Shirt/WizardK

82a2e7f85c80a52f892c1553e7a45ec0174e7bc6

[ "MIT" ]

null

scripts/wk/setup/__init__.py

2Shirt/WizardK

82a2e7f85c80a52f892c1553e7a45ec0174e7bc6

[ "MIT" ]

178

2017-11-17T19:14:31.000Z

2021-12-15T07:43:29.000Z

scripts/wk/setup/__init__.py

2Shirt/WizardK

82a2e7f85c80a52f892c1553e7a45ec0174e7bc6

[ "MIT" ]

1

2017-11-17T19:32:36.000Z

"""WizardKit: repairs module init""" # vim: sts=2 sw=2 ts=2 import platform if platform.system() == 'Windows': from . import win

16.625

36

0.669173

20

133

4.45

0.8

0

0.027273

0.172932

133

7

37

19

0.781818

0.390977

0

0.093333

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5