





'''simple docstring'''

from typing import List

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


__lowerCamelCase : Union[str, Any]											=			logging.get_logger(__name__)

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

class       UpperCAmelCase (						_lowercase  ):
		UpperCAmelCase					:	Any 			=		'''efficientformer'''




		def __init__(self      :	List[Any]							,			A__      :	List[int] = [3, 2, 6, 4]							,			A__      :	List[int] = [4_8, 9_6, 2_2_4, 4_4_8]							,			A__      :	List[bool] = [True, True, True, True]							,			A__      :	int = 4_4_8							,			A__      :	int = 3_2							,			A__      :	int = 4							,			A__      :	int = 7							,			A__      :	int = 5							,			A__      :	int = 8							,			A__      :	int = 4							,			A__      :	float = 0.0							,			A__      :	int = 1_6							,			A__      :	int = 3							,			A__      :	int = 3							,			A__      :	int = 3							,			A__      :	int = 2							,			A__      :	int = 1							,			A__      :	float = 0.0							,			A__      :	int = 1							,			A__      :	bool = True							,			A__      :	bool = True							,			A__      :	float = 1e-5							,			A__      :	str = "gelu"							,			A__      :	float = 0.0_2							,			A__      :	float = 1e-12							,			A__      :	int = 2_2_4							,			A__      :	float = 1e-05							,			**A__      :	List[str]							,			)					-> None:
						super().__init__(**A__				)

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











'''simple docstring'''

import functools







def 							UpperCAmelCase_    (	lowerCAmelCase_		,							lowerCAmelCase_							):

				"""simple docstring"""






				if not isinstance(lowerCAmelCase_		,							lowerCAmelCase_							) or not all(isinstance(lowerCAmelCase_		,							lowerCAmelCase_							) for day in days							):
								raise ValueError("The parameter days should be a list of integers"							)

				if len(lowerCAmelCase_							) != 3 or not all(isinstance(lowerCAmelCase_		,							lowerCAmelCase_							) for cost in costs							):
								raise ValueError("The parameter costs should be a list of three integers"							)

				if len(lowerCAmelCase_							) == 0:
								return 0

				if min(lowerCAmelCase_							) <= 0:
								raise ValueError("All days elements should be greater than 0"							)

				if max(lowerCAmelCase_							) >= 366:
								raise ValueError("All days elements should be less than 366"							)

				lowercase         = set(lowerCAmelCase_							)

				@functools.cache
				def dynamic_programming(lowerCAmelCase_							) -> int:
								if index > 365:
												return 0

								if index not in days_set:
												return dynamic_programming(index + 1							)

								return min(
								    costs[0] + dynamic_programming(index + 1							)		,							costs[1] + dynamic_programming(index + 7							)		,							costs[2] + dynamic_programming(index + 30							)		,							)

				return dynamic_programming(1							)


if __name__ == "__main__":
			import doctest

			doctest.testmod()




