






'''simple docstring'''



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_					(     __A			:							Dict      )							->   Optional[int]:



 """simple docstring"""




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


def 				lowercase_					(     )							->   str:



 """simple docstring"""




 lowercase       : Any						=ArgumentParser(
     '''HuggingFace Datasets CLI tool'''       ,   usage='''datasets-cli <command> [<args>]'''       ,   allow_abbrev=__A      )
 lowercase       : Tuple						=parser.add_subparsers(help='''datasets-cli command helpers'''      )
 set_verbosity_info()

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

 # Parse args
 lowercase	,		lowercase       : List[str]						=parser.parse_known_args()
 if not hasattr(__A       ,   '''func'''      ):
  parser.print_help()
  exit(1      )
 lowercase       : Optional[Any]						=parse_unknown_args(__A      )

 # Run
 lowercase       : Optional[int]						=args.func(__A       ,   **__A      )
 service.run()


if __name__ == "__main__":
      main()











'''simple docstring'''



from __future__ import annotations


def 				lowercase_					(     __A			:							list[list[int]]      )							->   int:



 """simple docstring"""




 for i in range(1       ,   len(matrix[0]      )      ):
  matrix[0][i] += matrix[0][i - 1]

 # preprocessing the first column
 for i in range(1       ,   len(__A      )      ):
  matrix[i][0] += matrix[i - 1][0]

 # updating the path cost for current position
 for i in range(1       ,   len(__A      )      ):
  for j in range(1       ,   len(matrix[0]      )      ):
   matrix[i][j] += min(matrix[i - 1][j]       ,   matrix[i][j - 1]      )

 return matrix[-1][-1]


if __name__ == "__main__":
      import doctest

      doctest.testmod()



