



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     _a							(     __lowercase		)     ->						Dict:

							"""simple docstring"""





							return {key.lstrip('-'		): value for key, value in zip(unknown_args[::2]				, unknown_args[1::2]		)}
def     _a							(     )     ->						List[str]:

							"""simple docstring"""





							__UpperCamelCase          =  ArgumentParser(
							    'HuggingFace Datasets CLI tool'				, usage='datasets-cli <command> [<args>]'				, allow_abbrev=__lowercase		)
							__UpperCamelCase          =  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
							__UpperCamelCase          =  parser.parse_known_args()
							if not hasattr(__lowercase				, 'func'		):
														parser.print_help()
														exit(1		)
							__UpperCamelCase          =  parse_unknown_args(__lowercase		)

							# Run
							__UpperCamelCase          =  args.func(__lowercase				, **__lowercase		)
							service.run()


if __name__ == "__main__":
			main()







'''simple docstring'''


import functools


def 		_lowercase (SCREAMING_SNAKE_CASE       ,					SCREAMING_SNAKE_CASE							):




     '''simple docstring'''





     __A	:       int      =							len(SCREAMING_SNAKE_CASE							)
     __A	:       int      =							len(SCREAMING_SNAKE_CASE							)

     @functools.cache
     def min_distance(SCREAMING_SNAKE_CASE       ,					SCREAMING_SNAKE_CASE							) -> int:
          # if first word index is overflow - delete all from the second word
          if indexa >= len_worda:
               return len_worda - indexa
          # if second word index is overflow - delete all from the first word
          if indexa >= len_worda:
               return len_worda - indexa
          __A	:       Optional[int]      =							int(worda[indexa] != worda[indexa]							)  # current letters not identical
          return min(
              1 + min_distance(indexa + 1       ,					SCREAMING_SNAKE_CASE							)       ,					1 + min_distance(SCREAMING_SNAKE_CASE       ,					indexa + 1							)       ,					diff + min_distance(indexa + 1       ,					indexa + 1							)       ,					)

     return min_distance(0       ,					0							)


if __name__ == "__main__":
      import doctest

      doctest.testmod()

