





from typing import List

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


_a						=   logging.get_logger(__name__)

_a						=   {
    "snap-research/efficientformer-l1-300": (
        "https://huggingface.co/snap-research/efficientformer-l1-300/resolve/main/config.json"
    ),
}






class       __A					(					lowerCAmelCase				):

			'''simple docstring'''







			lowerCAmelCase_							  =		"""efficientformer"""





			def __init__(					self ,						__lowerCAmelCase = [3, 2, 6, 4] ,						__lowerCAmelCase = [4_8, 9_6, 2_2_4, 4_4_8] ,						__lowerCAmelCase = [True, True, True, True] ,						__lowerCAmelCase = 4_4_8 ,						__lowerCAmelCase = 3_2 ,						__lowerCAmelCase = 4 ,						__lowerCAmelCase = 7 ,						__lowerCAmelCase = 5 ,						__lowerCAmelCase = 8 ,						__lowerCAmelCase = 4 ,						__lowerCAmelCase = 0.0 ,						__lowerCAmelCase = 1_6 ,						__lowerCAmelCase = 3 ,						__lowerCAmelCase = 3 ,						__lowerCAmelCase = 3 ,						__lowerCAmelCase = 2 ,						__lowerCAmelCase = 1 ,						__lowerCAmelCase = 0.0 ,						__lowerCAmelCase = 1 ,						__lowerCAmelCase = True ,						__lowerCAmelCase = True ,						__lowerCAmelCase = 1E-5 ,						__lowerCAmelCase = "gelu" ,						__lowerCAmelCase = 0.02 ,						__lowerCAmelCase = 1E-12 ,						__lowerCAmelCase = 2_2_4 ,						__lowerCAmelCase = 1E-05 ,						**__lowerCAmelCase ,						):



				'''simple docstring'''







				super().__init__(**__lowerCAmelCase							)

				lowerCamelCase__              =	hidden_act
				lowerCamelCase__              =	hidden_dropout_prob
				lowerCamelCase__              =	hidden_sizes
				lowerCamelCase__              =	num_hidden_layers
				lowerCamelCase__              =	num_attention_heads
				lowerCamelCase__              =	initializer_range
				lowerCamelCase__              =	layer_norm_eps
				lowerCamelCase__              =	patch_size
				lowerCamelCase__              =	num_channels
				lowerCamelCase__              =	depths
				lowerCamelCase__              =	mlp_expansion_ratio
				lowerCamelCase__              =	downsamples
				lowerCamelCase__              =	dim
				lowerCamelCase__              =	key_dim
				lowerCamelCase__              =	attention_ratio
				lowerCamelCase__              =	resolution
				lowerCamelCase__              =	pool_size
				lowerCamelCase__              =	downsample_patch_size
				lowerCamelCase__              =	downsample_stride
				lowerCamelCase__              =	downsample_pad
				lowerCamelCase__              =	drop_path_rate
				lowerCamelCase__              =	num_metaad_blocks
				lowerCamelCase__              =	distillation
				lowerCamelCase__              =	use_layer_scale
				lowerCamelCase__              =	layer_scale_init_value
				lowerCamelCase__              =	image_size
				lowerCamelCase__              =	batch_norm_eps










def lowerCAmelCase__(__snake_case							)       ->   int:







	'''simple docstring'''







	if not grid or not grid[0]:
		raise TypeError('''The grid does not contain the appropriate information'''							)

	for cell_n in range(1 ,len(grid[0]							)							):
		grid[0][cell_n] += grid[0][cell_n - 1]
	lowerCamelCase__              =	grid[0]

	for row_n in range(1 ,len(__snake_case							)							):
		lowerCamelCase__              =	grid[row_n]
		lowerCamelCase__              =	fill_row(__snake_case ,__snake_case							)
		lowerCamelCase__              =	grid[row_n]

	return grid[-1][-1]





def lowerCAmelCase__(__snake_case ,__snake_case							)       ->   list:







	'''simple docstring'''







	current_row[0] += row_above[0]
	for cell_n in range(1 ,len(__snake_case							)							):
		current_row[cell_n] += min(current_row[cell_n - 1] ,row_above[cell_n]							)

	return current_row


if __name__ == "__main__":
			import doctest

			doctest.testmod()



