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


__lowerCAmelCase					   =       logging.get_logger(__name__)

__lowerCAmelCase					   =       {
    'microsoft/cvt-13': 'https://huggingface.co/microsoft/cvt-13/resolve/main/config.json',
    # See all Cvt models at https://huggingface.co/models?filter=cvt
}





class     lowerCamelCase      (       __lowerCamelCase					):
	UpperCamelCase_  :					Tuple    		=	'cvt'







	def __init__(     self      :Dict   ,     lowercase      :Union[str, Any]=3   ,     lowercase      :List[Any]=[7, 3, 3]   ,     lowercase      :Optional[Any]=[4, 2, 2]   ,     lowercase      :int=[2, 1, 1]   ,     lowercase      :List[Any]=[6_4, 1_9_2, 3_8_4]   ,     lowercase      :Optional[int]=[1, 3, 6]   ,     lowercase      :int=[1, 2, 1_0]   ,     lowercase      :str=[4.0, 4.0, 4.0]   ,     lowercase      :List[str]=[0.0, 0.0, 0.0]   ,     lowercase      :int=[0.0, 0.0, 0.0]   ,     lowercase      :Optional[Any]=[0.0, 0.0, 0.1]   ,     lowercase      :str=[True, True, True]   ,     lowercase      :Tuple=[False, False, True]   ,     lowercase      :Union[str, Any]=["dw_bn", "dw_bn", "dw_bn"]   ,     lowercase      :Optional[Any]=[3, 3, 3]   ,     lowercase      :str=[1, 1, 1]   ,     lowercase      :str=[2, 2, 2]   ,     lowercase      :Optional[int]=[1, 1, 1]   ,     lowercase      :List[str]=[1, 1, 1]   ,     lowercase      :List[str]=0.02   ,     lowercase      :str=1e-12   ,     **lowercase      :int   ,     )		->      Any:







				"""simple docstring"""






				super().__init__(**lowercase			)
				SCREAMING_SNAKE_CASE     						= num_channels
				SCREAMING_SNAKE_CASE     						= patch_sizes
				SCREAMING_SNAKE_CASE     						= patch_stride
				SCREAMING_SNAKE_CASE     						= patch_padding
				SCREAMING_SNAKE_CASE     						= embed_dim
				SCREAMING_SNAKE_CASE     						= num_heads
				SCREAMING_SNAKE_CASE     						= depth
				SCREAMING_SNAKE_CASE     						= mlp_ratio
				SCREAMING_SNAKE_CASE     						= attention_drop_rate
				SCREAMING_SNAKE_CASE     						= drop_rate
				SCREAMING_SNAKE_CASE     						= drop_path_rate
				SCREAMING_SNAKE_CASE     						= qkv_bias
				SCREAMING_SNAKE_CASE     						= cls_token
				SCREAMING_SNAKE_CASE     						= qkv_projection_method
				SCREAMING_SNAKE_CASE     						= kernel_qkv
				SCREAMING_SNAKE_CASE     						= padding_kv
				SCREAMING_SNAKE_CASE     						= stride_kv
				SCREAMING_SNAKE_CASE     						= padding_q
				SCREAMING_SNAKE_CASE     						= stride_q
				SCREAMING_SNAKE_CASE     						= initializer_range
				SCREAMING_SNAKE_CASE     						= layer_norm_eps

import os


def    a      ( a = "matrix.txt"	)     ->int:




			'''simple docstring'''


			with open(os.path.join(os.path.dirname(a	)		,						a	)	) as in_file:
						SCREAMING_SNAKE_CASE     						= in_file.read()

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

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

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

			return dp[-1][-1]


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