


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase__ :			Any         ={
    'configuration_wav2vec2_conformer': [
        'WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'Wav2Vec2ConformerConfig',
    ],
}


try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__ :			Tuple         =[
				    'WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
				    'Wav2Vec2ConformerForAudioFrameClassification',
				    'Wav2Vec2ConformerForCTC',
				    'Wav2Vec2ConformerForPreTraining',
				    'Wav2Vec2ConformerForSequenceClassification',
				    'Wav2Vec2ConformerForXVector',
				    'Wav2Vec2ConformerModel',
				    'Wav2Vec2ConformerPreTrainedModel',
				]

if TYPE_CHECKING:
				from .configuration_wavaveca_conformer import (
				    WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
				    WavaVecaConformerConfig,
				)

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_wavaveca_conformer import (
								    WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
								    WavaVecaConformerForAudioFrameClassification,
								    WavaVecaConformerForCTC,
								    WavaVecaConformerForPreTraining,
								    WavaVecaConformerForSequenceClassification,
								    WavaVecaConformerForXVector,
								    WavaVecaConformerModel,
								    WavaVecaConformerPreTrainedModel,
								)

else:
				import sys

				lowerCAmelCase__ :			List[Any]         =_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)









from __future__ import annotations

from collections import deque
from queue import Queue
from timeit import timeit

lowerCAmelCase__ :			str         ={
    'A': ['B', 'C'],
    'B': ['A', 'D', 'E'],
    'C': ['A', 'F'],
    'D': ['B'],
    'E': ['B', 'F'],
    'F': ['C', 'E'],
}






def 	a__ (							A__,			A__							):
			SCREAMING_SNAKE_CASE_		:    Optional[int] 		=				{start}
			SCREAMING_SNAKE_CASE_		:    int 		=				[start]
			SCREAMING_SNAKE_CASE_		:    Queue 		=				Queue()
			queue.put(A__							)
			while not queue.empty():
						SCREAMING_SNAKE_CASE_		:    Optional[Any] 		=				queue.get()
						for w in graph[v]:
									if w not in explored:
												explored.add(A__							)
												result.append(A__							)
												queue.put(A__							)
			return result






def 	a__ (							A__,			A__							):
			SCREAMING_SNAKE_CASE_		:    Any 		=				{start}
			SCREAMING_SNAKE_CASE_		:    str 		=				[start]
			SCREAMING_SNAKE_CASE_		:    List[Any] 		=				deque([start]							)
			while queue:
						SCREAMING_SNAKE_CASE_		:    Optional[Any] 		=				queue.popleft()
						for child in graph[v]:
									if child not in visited:
												visited.add(A__							)
												result.append(A__							)
												queue.append(A__							)
			return result






def 	a__ (							A__							):
			SCREAMING_SNAKE_CASE_		:    List[str] 		=				F'''from __main__ import G, {name}'''
			SCREAMING_SNAKE_CASE_		:    Tuple 		=				1_0_0_0_0
			SCREAMING_SNAKE_CASE_		:    Union[str, Any] 		=				timeit(F'''{name}(G, \'A\')''',			setup=A__,			number=A__							)
			print(F'''{name:<35} finished {number} runs in {res:.5f} seconds'''							)


if __name__ == "__main__":
				import doctest

				doctest.testmod()

				benchmark_function('breadth_first_search')
				benchmark_function('breadth_first_search_with_deque')
				# breadth_first_search                finished 10000 runs in 0.20999 seconds
				# breadth_first_search_with_deque     finished 10000 runs in 0.01421 seconds





