"""simple docstring"""


class    a__    :


   def __init__(     self  ):
        '''simple docstring'''



        lowercase__				 =							{}


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        print(self.vertex  )
        for i in self.vertex:
             print(_UpperCAmelCase,				" -> ",				" -> ".join([str(_UpperCAmelCase  ) for j in self.vertex[i]]  )  )


   def 	snake_case__	(     self,				_UpperCAmelCase,				_UpperCAmelCase  ):
        '''simple docstring'''



        if from_vertex in self.vertex:
             self.vertex[from_vertex].append(_UpperCAmelCase  )
        else:
             # else make a new vertex
             lowercase__				 =							[to_vertex]


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							[False] * len(self.vertex  )

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


   def 	snake_case__	(     self,				_UpperCAmelCase,				_UpperCAmelCase  ):
        '''simple docstring'''



        lowercase__				 =							True

        print(_UpperCAmelCase,				end=" "  )

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


if __name__ == "__main__":
 lowerCAmelCase_:					Union[str, Any]     =					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





"""simple docstring"""


from typing import Optional

from .. import Features, NamedSplit
from ..packaged_modules.text.text import Text
from ..utils.typing import NestedDataStructureLike, PathLike
from .abc import AbstractDatasetReader






class    a__    (   _a	):


   def __init__(     self,				_UpperCAmelCase,				_UpperCAmelCase = None,				_UpperCAmelCase = None,				_UpperCAmelCase = None,				_UpperCAmelCase = False,				_UpperCAmelCase = False,				_UpperCAmelCase = None,				**_UpperCAmelCase,				):
        '''simple docstring'''



        super().__init__(
            _UpperCAmelCase,				split=_UpperCAmelCase,				features=_UpperCAmelCase,				cache_dir=_UpperCAmelCase,				keep_in_memory=_UpperCAmelCase,				streaming=_UpperCAmelCase,				num_proc=_UpperCAmelCase,				**_UpperCAmelCase,				)
        lowercase__				 =							path_or_paths if isinstance(_UpperCAmelCase,				_UpperCAmelCase  ) else {self.split: path_or_paths}
        lowercase__				 =							Text(
            cache_dir=_UpperCAmelCase,				data_files=_UpperCAmelCase,				features=_UpperCAmelCase,				**_UpperCAmelCase,				)


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        if self.streaming:
             lowercase__				 =							self.builder.as_streaming_dataset(split=self.split  )
        # Build regular (map-style) dataset
        else:
             lowercase__				 =							None
             lowercase__				 =							None
             lowercase__				 =							None
             lowercase__				 =							None

             self.builder.download_and_prepare(
                 download_config=_UpperCAmelCase,				download_mode=_UpperCAmelCase,				verification_mode=_UpperCAmelCase,				base_path=_UpperCAmelCase,				num_proc=self.num_proc,				)
             lowercase__				 =							self.builder.as_dataset(
                 split=self.split,				verification_mode=_UpperCAmelCase,				in_memory=self.keep_in_memory  )
        return dataset




