






from argparse import ArgumentParser

from datasets.commands.convert import ConvertCommand
from datasets.commands.dummy_data import DummyDataCommand
from datasets.commands.env import EnvironmentCommand
from datasets.commands.run_beam import RunBeamCommand
from datasets.commands.test import TestCommand
from datasets.utils.logging import set_verbosity_info

def     __lowercase(	UpperCAmelCase__ ):


      """simple docstring"""



      return {key.lstrip("-" ): value for key, value in zip(unknown_args[::2]   ,   unknown_args[1::2] )}

def     __lowercase(	):


      """simple docstring"""



      lowerCamelCase								=		ArgumentParser(
          "HuggingFace Datasets CLI tool"   ,   usage="datasets-cli <command> [<args>]"   ,   allow_abbrev=lowercase__ )
      lowerCamelCase								=		parser.add_subparsers(help="datasets-cli command helpers" )
      set_verbosity_info()

      # Register commands
      ConvertCommand.register_subcommand(lowercase__ )
      EnvironmentCommand.register_subcommand(lowercase__ )
      TestCommand.register_subcommand(lowercase__ )
      RunBeamCommand.register_subcommand(lowercase__ )
      DummyDataCommand.register_subcommand(lowercase__ )

      # Parse args
      lowerCamelCase			,							lowerCamelCase								=		parser.parse_known_args()
      if not hasattr(lowercase__   ,   "func" ):
            parser.print_help()
            exit(1 )
      lowerCamelCase								=		parse_unknown_args(lowercase__ )

      # Run
      lowerCamelCase								=		args.func(lowercase__   ,   **lowercase__ )
      service.run()


if __name__ == "__main__":
     main()




from __future__ import annotations

from collections import deque
from collections.abc import Iterator
from dataclasses import dataclass





@dataclass
class    lowerCamelCase__  :
     """simple docstring"""



     _A       =			42
     _A       =			42





class    lowerCamelCase__  :
     """simple docstring"""



     def __init__(self				,			__a    ):






           '''simple docstring'''



           lowerCamelCase								=		[[] for _ in range(__a    )]
           lowerCamelCase								=		size







     def __getitem__(self				,			__a    ):






           '''simple docstring'''



           return iter(self._graph[vertex]    )







     @property
     def 						_a      (self    ):






           '''simple docstring'''



           return self._size







     def 						_a      (self				,			__a				,			__a				,			__a    ):






           '''simple docstring'''



           if weight not in (0, 1):
                 raise ValueError("Edge weight must be either 0 or 1."    )

           if to_vertex < 0 or to_vertex >= self.size:
                 raise ValueError("Vertex indexes must be in [0; size)."    )

           self._graph[from_vertex].append(Edge(__a				,			__a    )    )







     def 						_a      (self				,			__a				,			__a    ):






           '''simple docstring'''



           lowerCamelCase								=		deque([start_vertex]    )
           lowerCamelCase								=		[None] * self.size
           lowerCamelCase								=		0

           while queue:
                 lowerCamelCase								=		queue.popleft()
                 lowerCamelCase								=		distances[current_vertex]
                 if current_distance is None:
                       continue

                 for edge in self[current_vertex]:
                       lowerCamelCase								=		current_distance + edge.weight
                       lowerCamelCase								=		distances[edge.destination_vertex]
                       if (
                           isinstance(__a				,			__a    )
                           and new_distance >= dest_vertex_distance
                       ):
                             continue
                       lowerCamelCase								=		new_distance
                       if edge.weight == 0:
                             queue.appendleft(edge.destination_vertex    )
                       else:
                             queue.append(edge.destination_vertex    )

           if distances[finish_vertex] is None:
                 raise ValueError("No path from start_vertex to finish_vertex."    )

           return distances[finish_vertex]


if __name__ == "__main__":
     import doctest

     doctest.testmod()