





'''simple docstring'''






from ...configuration_utils import PretrainedConfig
from ...utils import logging


A__				:   Any      =logging.get_logger(__name__)

A__				:   List[Any]      ={
    """google/fnet-base""": """https://huggingface.co/google/fnet-base/resolve/main/config.json""",
    """google/fnet-large""": """https://huggingface.co/google/fnet-large/resolve/main/config.json"""
    # See all FNet models at https://huggingface.co/models?filter=fnet
}




class  UpperCAmelCase     (			snake_case_   ):
      _lowercase:			List[str]						     =   '''fnet'''




      def __init__(			self			: Tuple			,			__snake_case			: Tuple=3_20_00			,			__snake_case			: Optional[int]=7_68			,			__snake_case			: Optional[int]=12			,			__snake_case			: int=30_72			,			__snake_case			: Union[str, Any]="gelu_new"			,			__snake_case			: int=0.1			,			__snake_case			: List[str]=5_12			,			__snake_case			: List[str]=4			,			__snake_case			: Optional[int]=0.02			,			__snake_case			: Dict=1E-1_2			,			__snake_case			: List[str]=False			,			__snake_case			: Optional[int]=5_12			,			__snake_case			: str=3			,			__snake_case			: Optional[Any]=1			,			__snake_case			: List[str]=2			,			**__snake_case			: Any			,			)				->      Any:
            super().__init__(pad_token_id=__snake_case			,			bos_token_id=__snake_case			,			eos_token_id=__snake_case			,			**__snake_case  )

            _lowerCAmelCase							     =							vocab_size
            _lowerCAmelCase							     =							max_position_embeddings
            _lowerCAmelCase							     =							hidden_size
            _lowerCAmelCase							     =							num_hidden_layers
            _lowerCAmelCase							     =							intermediate_size
            _lowerCAmelCase							     =							hidden_act
            _lowerCAmelCase							     =							hidden_dropout_prob
            _lowerCAmelCase							     =							initializer_range
            _lowerCAmelCase							     =							type_vocab_size
            _lowerCAmelCase							     =							layer_norm_eps
            _lowerCAmelCase							     =							use_tpu_fourier_optimizations
            _lowerCAmelCase							     =							tpu_short_seq_length










'''simple docstring'''

import os





def __snake_case					(      UpperCAmelCase_						:						str = "matrix.txt"		):
 with open(os.path.join(os.path.dirname(UpperCAmelCase_		)					,				UpperCAmelCase_		)		) as in_file:
  lowerCamelCase_      =  in_file.read()

 lowerCamelCase_      =  [[int(UpperCAmelCase_		) for cell in row.split(","		)] for row in data.strip().splitlines()]
 lowerCamelCase_      =  [[0 for cell in row] for row in grid]
 lowerCamelCase_      =  len(grid[0]		)

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

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

 return dp[-1][-1]


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



