




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





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

    # Run
    UpperCAmelCase			       =		args.func(_a    ,   **_a     )
    service.run()


if __name__ == "__main__":
   main()







import os
def      a      (			A__	:   str = "input.txt"     )    ->      int:





      """simple docstring"""



      with open(os.path.join(os.path.dirname(A__     )      ,   A__     )     ) as input_file:
            _lowercase	       =[
                [int(A__     ) for element in line.split(','     )]
                for line in input_file.readlines()
            ]

      _lowercase	       =len(A__     )
      _lowercase	       =len(matrix[0]     )

      _lowercase	       =[[-1 for _ in range(A__     )] for _ in range(A__     )]
      for i in range(A__     ):
            _lowercase	       =matrix[i][0]

      for j in range(1      ,   A__     ):
            for i in range(A__     ):
                  _lowercase	       =minimal_path_sums[i][j - 1] + matrix[i][j]

            for i in range(1      ,   A__     ):
                  _lowercase	       =min(
                      minimal_path_sums[i][j]      ,   minimal_path_sums[i - 1][j] + matrix[i][j]     )

            for i in range(rows - 2      ,   -1      ,   -1     ):
                  _lowercase	       =min(
                      minimal_path_sums[i][j]      ,   minimal_path_sums[i + 1][j] + matrix[i][j]     )

      return min(minimal_path_sums_row[-1] for minimal_path_sums_row in minimal_path_sums     )


if __name__ == "__main__":
  print(f"{solution() = }")


