




from abc import ABC, abstractmethod
from typing import Optional, Union

from .. import Dataset, DatasetDict, Features, IterableDataset, IterableDatasetDict, NamedSplit
from ..utils.typing import NestedDataStructureLike, PathLike



class    lowercase_		(_lowerCAmelCase ):



						def __init__(			self	:   Dict					,							snake_case__	:   Dict = None					,							snake_case__	:   List[Any] = None					,							snake_case__	:   Any = None					,							snake_case__	:   int = None					,							snake_case__	:   Optional[int] = False					,							snake_case__	:   Optional[int] = False					,							snake_case__	:   Any = None					,							**snake_case__	:   List[Any]					,							):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_					      =							path_or_paths
								SCREAMING_SNAKE_CASE_					      =							split if split or isinstance(snake_case__					,							snake_case__  ) else 'train'
								SCREAMING_SNAKE_CASE_					      =							features
								SCREAMING_SNAKE_CASE_					      =							cache_dir
								SCREAMING_SNAKE_CASE_					      =							keep_in_memory
								SCREAMING_SNAKE_CASE_					      =							streaming
								SCREAMING_SNAKE_CASE_					      =							num_proc
								SCREAMING_SNAKE_CASE_					      =							kwargs






						@abstractmethod
						def 	__a					(			self	:   str  ):

								"""simple docstring"""

								pass



class    lowercase_		(_lowerCAmelCase ):



						def __init__(			self	:   Union[str, Any]					,							snake_case__	:   Union[str, Any] = None					,							snake_case__	:   Optional[int] = None					,							snake_case__	:   Optional[Any] = False					,							snake_case__	:   Optional[Any] = False					,							snake_case__	:   Tuple = None					,							**snake_case__	:   List[str]					,							):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_					      =							features
								SCREAMING_SNAKE_CASE_					      =							cache_dir
								SCREAMING_SNAKE_CASE_					      =							keep_in_memory
								SCREAMING_SNAKE_CASE_					      =							streaming
								SCREAMING_SNAKE_CASE_					      =							num_proc
								SCREAMING_SNAKE_CASE_					      =							kwargs






						@abstractmethod
						def 	__a					(			self	:   str  ):

								"""simple docstring"""

								pass







'''simple docstring'''



import os



def  __UpperCAmelCase						(					SCREAMING_SNAKE_CASE__:						str = "matrix.txt"     )	->      int:

   """simple docstring"""
   with open(os.path.join(os.path.dirname(SCREAMING_SNAKE_CASE__     ),       SCREAMING_SNAKE_CASE__     )     ) as in_file:
      __a					  =     in_file.read()

   __a					  =     [[int(SCREAMING_SNAKE_CASE__     ) for cell in row.split(','     )] for row in data.strip().splitlines()]
   __a					  =     [[0 for cell in row] for row in grid]
   __a					  =     len(grid[0]     )

   __a					  =     [[0 for i in range(SCREAMING_SNAKE_CASE__     )] for j in range(SCREAMING_SNAKE_CASE__     )]
   __a					  =     grid[0][0]
   for i in range(1,       SCREAMING_SNAKE_CASE__     ):
      __a					  =     grid[0][i] + dp[0][i - 1]
   for i in range(1,       SCREAMING_SNAKE_CASE__     ):
      __a					  =     grid[i][0] + dp[i - 1][0]

   for i in range(1,       SCREAMING_SNAKE_CASE__     ):
      for j in range(1,       SCREAMING_SNAKE_CASE__     ):
         __a					  =     grid[i][j] + min(dp[i - 1][j],       dp[i][j - 1]     )

   return dp[-1][-1]


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