




from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


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

SCREAMING_SNAKE_CASE:     Optional[Any]									= {
    '''sail/poolformer_s12''': '''https://huggingface.co/sail/poolformer_s12/resolve/main/config.json''',
    # See all PoolFormer models at https://huggingface.co/models?filter=poolformer
}



class    lowercase_		(SCREAMING_SNAKE_CASE__ ):
						lowerCAmelCase__			      ="poolformer"



						def __init__(			self	:   Optional[Any]					,							snake_case__	:   Tuple=3					,							snake_case__	:   List[str]=16					,							snake_case__	:   List[Any]=16					,							snake_case__	:   Tuple=3					,							snake_case__	:   str=4.0					,							snake_case__	:   List[Any]=[2, 2, 6, 2]					,							snake_case__	:   Dict=[64, 1_28, 3_20, 5_12]					,							snake_case__	:   Optional[int]=[7, 3, 3, 3]					,							snake_case__	:   List[str]=[4, 2, 2, 2]					,							snake_case__	:   Optional[Any]=[2, 1, 1, 1]					,							snake_case__	:   List[str]=4					,							snake_case__	:   Optional[Any]=0.0					,							snake_case__	:   Union[str, Any]="gelu"					,							snake_case__	:   Optional[int]=True					,							snake_case__	:   Optional[Any]=1e-5					,							snake_case__	:   int=0.02					,							**snake_case__	:   Optional[int]					,							):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_					      =							num_channels
								SCREAMING_SNAKE_CASE_					      =							patch_size
								SCREAMING_SNAKE_CASE_					      =							stride
								SCREAMING_SNAKE_CASE_					      =							padding
								SCREAMING_SNAKE_CASE_					      =							pool_size
								SCREAMING_SNAKE_CASE_					      =							hidden_sizes
								SCREAMING_SNAKE_CASE_					      =							mlp_ratio
								SCREAMING_SNAKE_CASE_					      =							depths
								SCREAMING_SNAKE_CASE_					      =							patch_sizes
								SCREAMING_SNAKE_CASE_					      =							strides
								SCREAMING_SNAKE_CASE_					      =							num_encoder_blocks
								SCREAMING_SNAKE_CASE_					      =							drop_path_rate
								SCREAMING_SNAKE_CASE_					      =							hidden_act
								SCREAMING_SNAKE_CASE_					      =							use_layer_scale
								SCREAMING_SNAKE_CASE_					      =							layer_scale_init_value
								SCREAMING_SNAKE_CASE_					      =							initializer_range
								super().__init__(**snake_case__  )



class    lowercase_		(SCREAMING_SNAKE_CASE__ ):
						lowerCAmelCase__			      =version.parse("1.11" )



						@property
						def 	__a					(			self	:   Dict  ):

								"""simple docstring"""

								return OrderedDict(
								    [
								        ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
								    ]  )






						@property
						def 	__a					(			self	:   int  ):

								"""simple docstring"""

								return 2e-3





import functools


def 					_a							(					lowerCAmelCase    ,						lowerCAmelCase )->	int:

		# Validation
		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' )

		SCREAMING_SNAKE_CASE_					      =							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()