


"""simple docstring"""



class _lowerCAmelCase    :







   def __init__(     self						)     ->		Optional[int]:

       '''simple docstring'''




       snake_case   :				Tuple				 =   {}







   def 			lowerCamelCase		(     self						)     ->		None:

       '''simple docstring'''




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







   def 			lowerCamelCase		(     self						,     UpperCamelCase__						,     UpperCamelCase__						)     ->		None:

       '''simple docstring'''




       if from_vertex in self.vertex:
           self.vertex[from_vertex].append(UpperCamelCase__						)
       else:
           # else make a new vertex
           snake_case   :				Union[str, Any]				 =   [to_vertex]







   def 			lowerCamelCase		(     self						)     ->		None:

       '''simple docstring'''




       snake_case   :				str				 =   [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 			lowerCamelCase		(     self						,     UpperCamelCase__						,     UpperCamelCase__						)     ->		None:

       '''simple docstring'''




       snake_case   :				int				 =   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__":
  __snake_case             =   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 pathlib import Path

import fire
from tqdm import tqdm







def   __lowerCAmelCase						(						lowercase  :  Optional[Any]="ro"						,							lowercase  :  Union[str, Any]="en"						,							lowercase  :  str="wmt16"						,							lowercase  :  Any=None			)     ->						None:


    """simple docstring"""





    try:
        import datasets
    except (ModuleNotFoundError, ImportError):
        raise ImportError("run pip install datasets"			)
    snake_case   :				Any				 =   F'{src_lang}-{tgt_lang}'
    print(F'Converting {dataset}-{pair}'			)
    snake_case   :				Union[str, Any]				 =   datasets.load_dataset(lowercase						,							lowercase			)
    if save_dir is None:
        snake_case   :				int				 =   F'{dataset}-{pair}'
    snake_case   :				Optional[Any]				 =   Path(lowercase			)
    save_dir.mkdir(exist_ok=lowercase			)

    for split in ds.keys():
        print(F'Splitting {split} with {ds[split].num_rows} records'			)

        # to save to val.source, val.target like summary datasets
        snake_case   :				Any				 =   "val" if split == "validation" else split
        snake_case   :				List[str]				 =   save_dir.joinpath(F'{fn}.source'			)
        snake_case   :				int				 =   save_dir.joinpath(F'{fn}.target'			)
        snake_case   :				str				 =   src_path.open("w+"			)
        snake_case   :				Optional[int]				 =   tgt_path.open("w+"			)

        # reader is the bottleneck so writing one record at a time doesn't slow things down
        for x in tqdm(ds[split]			):
            snake_case   :				int				 =   x["translation"]
            src_fp.write(ex[src_lang] + "\n"			)
            tgt_fp.write(ex[tgt_lang] + "\n"			)

    print(F'Saved {dataset} dataset to {save_dir}'			)


if __name__ == "__main__":
  fire.Fire(download_wmt_dataset)





