




from typing import Optional, Union

import torch
from torch import nn

from ...configuration_utils import ConfigMixin, register_to_config
from ...models.modeling_utils import ModelMixin



class    lowercase_		(_lowerCAmelCase							,	_lowerCAmelCase ):



						@register_to_config
						def __init__(			self	:   Any					,							snake_case__	:   Optional[int] = 7_68					,							):

								"""simple docstring"""

								super().__init__()

								SCREAMING_SNAKE_CASE_					      =							nn.Parameter(torch.zeros(1					,							snake_case__  )  )
								SCREAMING_SNAKE_CASE_					      =							nn.Parameter(torch.ones(1					,							snake_case__  )  )



						def 	__a					(			self	:   List[Any]					,							snake_case__	:   Union[str, Any] = None					,							snake_case__	:   Optional[int] = None					,							):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_					      =							nn.Parameter(self.mean.to(snake_case__  ).to(snake_case__  )  )
								SCREAMING_SNAKE_CASE_					      =							nn.Parameter(self.std.to(snake_case__  ).to(snake_case__  )  )
								return self



						def 	__a					(			self	:   str					,							snake_case__	:   Union[str, Any]  ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_					      =							(embeds - self.mean) * 1.0 / self.std
								return embeds






						def 	__a					(			self	:   List[str]					,							snake_case__	:   Optional[Any]  ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_					      =							(embeds * self.std) + self.mean
								return embeds







'''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() = }""")