



from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


UpperCAmelCase__   =       logging.get_logger(__name__)

UpperCAmelCase__   =       {
    "google/bit-50": "https://huggingface.co/google/bit-50/resolve/main/config.json",
}







class 			__lowerCAmelCase    (			A				,						A						):
			UpperCamelCase   					=     '''bit'''
			UpperCamelCase   					=     ['''preactivation''', '''bottleneck''']
			UpperCamelCase   					=     ['''SAME''', '''VALID''']



			def __init__(						self   :  Any ,		A   :  Union[str, Any]=3 ,		A   :  List[Any]=64 ,		A   :  Optional[Any]=[2_56, 5_12, 10_24, 20_48] ,		A   :  Tuple=[3, 4, 6, 3] ,		A   :  Optional[Any]="preactivation" ,		A   :  Any="relu" ,		A   :  Optional[int]=None ,		A   :  Dict=32 ,		A   :  Dict=0.0 ,		A   :  str=False ,		A   :  int=32 ,		A   :  str=1 ,		A   :  List[Any]=None ,		A   :  Tuple=None ,		**A   :  Any ,		)   ->    Dict:



						"""simple docstring"""






						super().__init__(**A)
						if layer_type not in self.layer_types:
									raise ValueError(F"layer_type={layer_type} is not one of {','.join(self.layer_types)}")
						if global_padding is not None:
									if global_padding.upper() in self.supported_padding:
												_UpperCAmelCase		       =   global_padding.upper()
									else:
												raise ValueError(F"Padding strategy {global_padding} not supported")
						_UpperCAmelCase		       =   num_channels
						_UpperCAmelCase		       =   embedding_size
						_UpperCAmelCase		       =   hidden_sizes
						_UpperCAmelCase		       =   depths
						_UpperCAmelCase		       =   layer_type
						_UpperCAmelCase		       =   hidden_act
						_UpperCAmelCase		       =   global_padding
						_UpperCAmelCase		       =   num_groups
						_UpperCAmelCase		       =   drop_path_rate
						_UpperCAmelCase		       =   embedding_dynamic_padding
						_UpperCAmelCase		       =   output_stride
						_UpperCAmelCase		       =   width_factor

						_UpperCAmelCase		       =   ['stem'] + [F"stage{idx}" for idx in range(1 ,		len(A) + 1)]
						_UpperCAmelCase       ,     _UpperCAmelCase		       =   get_aligned_output_features_output_indices(
						    out_features=A ,		out_indices=A ,		stage_names=self.stage_names)



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() = }")


