


"""simple docstring"""


class 			lowerCamelCase__						:







						def __init__(							self   :    List[Any]		):
								A					       = 0
								A					       = 0
								A					       = {}







						def __a						(							self   :    Any			,			_lowercase   :    Union[str, Any]		):
								if vertex not in self.adjacency:
										A					       = {}
										self.num_vertices += 1







						def __a						(							self   :    Dict			,			_lowercase   :    Tuple			,			_lowercase   :    List[Any]			,			_lowercase   :    Optional[int]		):
								self.add_vertex(_lowercase		)
								self.add_vertex(_lowercase		)

								if head == tail:
										return

								A					       = weight
								A					       = weight







						def __a						(							self   :    List[str]		):
								A					       = self.get_edges()
								for edge in edges:
										A       , A       , A					       = edge
										edges.remove((tail, head, weight)		)
								for i in range(len(_lowercase		)		):
										A					       = list(edges[i]		)

								edges.sort(key=lambda _lowercase		: e[2]		)
								for i in range(len(_lowercase		) - 1		):
										if edges[i][2] >= edges[i + 1][2]:
												A					       = edges[i][2] + 1
								for edge in edges:
										A       , A       , A					       = edge
										A					       = weight
										A					       = weight







						def __str__(							self   :    Union[str, Any]		):
								A					       = ''
								for tail in self.adjacency:
										for head in self.adjacency[tail]:
												A					       = self.adjacency[head][tail]
												string += f'{head} -> {tail} == {weight}\n'
								return string.rstrip('\n'		)







						def __a						(							self   :    List[Any]		):
								A					       = []
								for tail in self.adjacency:
										for head in self.adjacency[tail]:
												output.append((tail, head, self.adjacency[head][tail])		)
								return output







						def __a						(							self   :    Union[str, Any]		):
								return self.adjacency.keys()







						@staticmethod
						def __a						(							_lowercase   :    Union[str, Any]=None			,			_lowercase   :    Dict=None		):
								A					       = Graph()
								if vertices is None:
										A					       = []
								if edges is None:
										A					       = []
								for vertex in vertices:
										g.add_vertex(_lowercase		)
								for edge in edges:
										g.add_edge(*_lowercase		)
								return g



						class 			lowerCamelCase__						:







												def __init__(							self   :    List[Any]		):
														A					       = {}
														A					       = {}







												def __len__(							self   :    Dict		):
														return len(self.parent		)







												def __a						(							self   :    str			,			_lowercase   :    Union[str, Any]		):
														if item in self.parent:
																return self.find(_lowercase		)

														A					       = item
														A					       = 0
														return item







												def __a						(							self   :    str			,			_lowercase   :    Any		):
														if item not in self.parent:
																return self.make_set(_lowercase		)
														if item != self.parent[item]:
																A					       = self.find(self.parent[item]		)
														return self.parent[item]







												def __a						(							self   :    Tuple			,			_lowercase   :    int			,			_lowercase   :    Optional[Any]		):
														A					       = self.find(_lowercase		)
														A					       = self.find(_lowercase		)

														if roota == roota:
																return roota

														if self.rank[roota] > self.rank[roota]:
																A					       = roota
																return roota

														if self.rank[roota] < self.rank[roota]:
																A					       = roota
																return roota

														if self.rank[roota] == self.rank[roota]:
																self.rank[roota] += 1
																A					       = roota
																return roota
														return None







						@staticmethod
						def __a						(							_lowercase   :    List[Any]		):
								A					       = graph.num_vertices

								A					       = Graph.UnionFind()
								A					       = []
								while num_components > 1:
										A					       = {}
										for vertex in graph.get_vertices():
												A					       = -1

										A					       = graph.get_edges()
										for edge in edges:
												A       , A       , A					       = edge
												edges.remove((tail, head, weight)		)
										for edge in edges:
												A       , A       , A					       = edge
												A					       = union_find.find(_lowercase		)
												A					       = union_find.find(_lowercase		)
												if seta != seta:
														if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
																A					       = [head, tail, weight]

														if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
																A					       = [head, tail, weight]
										for vertex in cheap_edge:
												if cheap_edge[vertex] != -1:
														A       , A       , A					       = cheap_edge[vertex]
														if union_find.find(_lowercase		) != union_find.find(_lowercase		):
																union_find.union(_lowercase			,			_lowercase		)
																mst_edges.append(cheap_edge[vertex]		)
																A					       = num_components - 1
								A					       = Graph.build(edges=_lowercase		)
								return mst









"""simple docstring"""


import unittest

from huggingface_hub import hf_hub_download

from transformers import MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING, VideoMAEFeatureExtractor
from transformers.pipelines import VideoClassificationPipeline, pipeline
from transformers.testing_utils import (
    is_pipeline_test,
    nested_simplify,
    require_decord,
    require_tf,
    require_torch,
    require_torch_or_tf,
    require_vision,
)

from .test_pipelines_common import ANY



@is_pipeline_test
@require_torch_or_tf
@require_vision
@require_decord
class 			lowerCamelCase__						(   unittest.TestCase			):
						lowerCAmelCase       =     MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING







						def __a						(							self   :    Dict			,			_lowercase   :    int			,			_lowercase   :    Any			,			_lowercase   :    int		):
								A					       = hf_hub_download(
								    repo_id='nateraw/video-demo'			,			filename='archery.mp4'			,			repo_type='dataset'		)
								A					       = VideoClassificationPipeline(model=_lowercase			,			image_processor=_lowercase			,			top_k=2		)
								A					       = [
								    example_video_filepath,
								    'https://huggingface.co/datasets/nateraw/video-demo/resolve/main/archery.mp4',
								]
								return video_classifier, examples







						def __a						(							self   :    Tuple			,			_lowercase   :    Union[str, Any]			,			_lowercase   :    List[Any]		):
								for example in examples:
										A					       = video_classifier(_lowercase		)

										self.assertEqual(
										    _lowercase			,			[
										        {'score': ANY(_lowercase		), 'label': ANY(_lowercase		)},
										        {'score': ANY(_lowercase		), 'label': ANY(_lowercase		)},
										    ]			,			)







						@require_torch
						def __a						(							self   :    str		):
								A					       = 'hf-internal-testing/tiny-random-VideoMAEForVideoClassification'
								A					       = VideoMAEFeatureExtractor(
								    size={'shortest_edge': 10}			,			crop_size={'height': 10, 'width': 10}		)
								A					       = pipeline(
								    'video-classification'			,			model=_lowercase			,			feature_extractor=_lowercase			,			frame_sampling_rate=4		)

								A					       = hf_hub_download(repo_id='nateraw/video-demo'			,			filename='archery.mp4'			,			repo_type='dataset'		)
								A					       = video_classifier(_lowercase			,			top_k=2		)
								self.assertEqual(
								    nested_simplify(_lowercase			,			decimals=4		)			,			[{'score': 0.5_1_9_9, 'label': 'LABEL_0'}, {'score': 0.4_8_0_1, 'label': 'LABEL_1'}]			,			)

								A					       = video_classifier(
								    [
								        video_file_path,
								        video_file_path,
								    ]			,			top_k=2			,			)
								self.assertEqual(
								    nested_simplify(_lowercase			,			decimals=4		)			,			[
								        [{'score': 0.5_1_9_9, 'label': 'LABEL_0'}, {'score': 0.4_8_0_1, 'label': 'LABEL_1'}],
								        [{'score': 0.5_1_9_9, 'label': 'LABEL_0'}, {'score': 0.4_8_0_1, 'label': 'LABEL_1'}],
								    ]			,			)







						@require_tf
						def __a						(							self   :    Dict		):
								pass





