def      lowerCAmelCase_       ( __lowerCAmelCase  )->     str:






      '''simple docstring'''





      UpperCAmelCase			:       List[str]			     =[0] * len(_UpperCAmelCase  )
      UpperCAmelCase			:       List[Any]			     =[]
      UpperCAmelCase			:       str			     =[]
      UpperCAmelCase			:       List[str]			     =0

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

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

      while queue:
            UpperCAmelCase			:       Optional[int]			     =queue.pop(0  )
            cnt += 1
            topo.append(_UpperCAmelCase  )
            for x in graph[vertex]:
                  indegree[x] -= 1
                  if indegree[x] == 0:
                        queue.append(_UpperCAmelCase  )

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


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


topological_sort(graph)



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase							:  Optional[int]   	=						{"""configuration_wavlm""": ["""WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP""", """WavLMConfig"""]}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase							:  Any   	=						[
						    """WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """WavLMForAudioFrameClassification""",
						    """WavLMForCTC""",
						    """WavLMForSequenceClassification""",
						    """WavLMForXVector""",
						    """WavLMModel""",
						    """WavLMPreTrainedModel""",
						]

if TYPE_CHECKING:
						from .configuration_wavlm import WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP, WavLMConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_wavlm import (
												    WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST,
												    WavLMForAudioFrameClassification,
												    WavLMForCTC,
												    WavLMForSequenceClassification,
												    WavLMForXVector,
												    WavLMModel,
												    WavLMPreTrainedModel,
												)

else:
						import sys

						lowerCAmelCase							:  Union[str, Any]   	=						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






