
"""simple docstring"""






def __A						(   a_ :							Any     )->							List[str]:




		'''simple docstring'''






		SCREAMING_SNAKE_CASE       :     Optional[int]				= [0] * len(a_     )
		SCREAMING_SNAKE_CASE       :     List[Any]				= []
		SCREAMING_SNAKE_CASE       :     List[Any]				= []
		SCREAMING_SNAKE_CASE       :     Union[str, Any]				= 0

		for values in graph.values():
				for i in values:
						indegree[i] += 1

		for i in range(len(a_     )     ):
				if indegree[i] == 0:
						queue.append(a_     )

		while queue:
				SCREAMING_SNAKE_CASE       :     Any				= queue.pop(0     )
				cnt += 1
				topo.append(a_     )
				for x in graph[vertex]:
						indegree[x] -= 1
						if indegree[x] == 0:
								queue.append(a_     )

		if cnt != len(a_     ):
				print('''Cycle exists'''     )
		else:
				print(a_     )


# Adjacency List of Graph
lowerCamelCase__ :       List[str]						     =			{0: [1, 2], 1: [3], 2: [3], 3: [4, 5], 4: [], 5: []}




topological_sort(graph)







"""simple docstring"""






from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCamelCase__ :       Tuple						     =			{
    "configuration_mctct": ["MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MCTCTConfig"],
    "feature_extraction_mctct": ["MCTCTFeatureExtractor"],
    "processing_mctct": ["MCTCTProcessor"],
}


try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCamelCase__ :       Union[str, Any]						     =			[
					    "MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST",
					    "MCTCTForCTC",
					    "MCTCTModel",
					    "MCTCTPreTrainedModel",
					]


if TYPE_CHECKING:
					from .configuration_mctct import MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP, MCTCTConfig
					from .feature_extraction_mctct import MCTCTFeatureExtractor
					from .processing_mctct import MCTCTProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_mctct import MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST, MCTCTForCTC, MCTCTModel, MCTCTPreTrainedModel

else:
					import sys

					lowerCamelCase__ :       Tuple						     =			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





