


class      lowerCAmelCase__       :




     '''simple docstring'''


     def __init__(						self)			->				Optional[Any]:
            _A      :       Union[str, Any]				    = {}


     def  _lowerCamelCase (						self)			->				None:
            print(self.vertex)
            for i in self.vertex:
                   print(__lowerCamelCase ,						" -> " ,						" -> ".join([str(__lowerCamelCase) for j in self.vertex[i]]))


     def  _lowerCamelCase (						self ,						__lowerCamelCase ,						__lowerCamelCase)			->				None:
            # check if vertex is already present,
            if from_vertex in self.vertex:
                   self.vertex[from_vertex].append(__lowerCamelCase)
            else:
                   # else make a new vertex
                   _A      :       Optional[Any]				    = [to_vertex]


     def  _lowerCamelCase (						self)			->				None:
            # visited array for storing already visited nodes
            _A      :       List[Any]				    = [False] * len(self.vertex)

            # call the recursive helper function
            for i in range(len(self.vertex)):
                   if not visited[i]:
                          self.dfs_recursive(__lowerCamelCase ,						__lowerCamelCase)


     def  _lowerCamelCase (						self ,						__lowerCamelCase ,						__lowerCamelCase)			->				None:
            # mark start vertex as visited
            _A      :       str				    = True

            print(__lowerCamelCase ,						end=" ")

            # Recur for all the vertices that are adjacent to this node
            for i in self.vertex:
                   if not visited[i]:
                          self.dfs_recursive(__lowerCamelCase ,						__lowerCamelCase)


if __name__ == "__main__":
    lowerCAmelCase__      		= Graph()
    g.add_edge(0, 1)
    g.add_edge(0, 2)
    g.add_edge(1, 2)
    g.add_edge(2, 0)
    g.add_edge(2, 3)
    g.add_edge(3, 3)

    g.print_graph()
    print('DFS:')
    g.dfs()

    # OUTPUT:
    # 0  ->  1 -> 2
    # 1  ->  2
    # 2  ->  0 -> 3
    # 3  ->  3
    # DFS:
    #  0 1 2 3


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__A				={'''configuration_wavlm''': ['''WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''WavLMConfig''']}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			__A				=[
			    '''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

			__A				=_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


