






'''simple docstring'''
from typing import List, Optional, Union

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType







class 	UpperCamelCase__					(     __snake_case			):

		"""simple docstring"""
		UpperCAmelCase__     			=						['image_processor', 'tokenizer']
		UpperCAmelCase__     			=						'BridgeTowerImageProcessor'
		UpperCAmelCase__     			=						('RobertaTokenizer', 'RobertaTokenizerFast')




		def __init__( self						:						Tuple							,    __A						:						List[str]							,    __A						:						List[str]    ):







							"""simple docstring"""
							super().__init__(__UpperCamelCase							,    __UpperCamelCase    )




		def __call__( self						:						List[Any]							,    __A						:						Union[str, Any]							,    __A						:						List[str] = None							,    __A						:						Tuple = True							,    __A						:						Dict = False							,    __A						:						str = None							,    __A						:						List[str] = None							,    __A						:						int = 0							,    __A						:						str = None							,    __A						:						Optional[Any] = None							,    __A						:						Dict = None							,    __A						:						List[str] = False							,    __A						:						Union[str, Any] = False							,    __A						:						Union[str, Any] = False							,    __A						:						Union[str, Any] = False							,    __A						:						Optional[int] = True							,    __A						:						Dict = None							,    **__A						:						int							,    ):







							"""simple docstring"""
							_lowercase			= self.tokenizer(
							    text=__UpperCamelCase							,    add_special_tokens=__UpperCamelCase							,    padding=__UpperCamelCase							,    truncation=__UpperCamelCase							,    max_length=__UpperCamelCase							,    stride=__UpperCamelCase							,    pad_to_multiple_of=__UpperCamelCase							,    return_token_type_ids=__UpperCamelCase							,    return_attention_mask=__UpperCamelCase							,    return_overflowing_tokens=__UpperCamelCase							,    return_special_tokens_mask=__UpperCamelCase							,    return_offsets_mapping=__UpperCamelCase							,    return_length=__UpperCamelCase							,    verbose=__UpperCamelCase							,    return_tensors=__UpperCamelCase							,    **__UpperCamelCase							,    )
							# add pixel_values + pixel_mask
							_lowercase			= self.image_processor(
							    __UpperCamelCase							,    return_tensors=__UpperCamelCase							,    do_normalize=__UpperCamelCase							,    do_center_crop=__UpperCamelCase							,    **__UpperCamelCase    )
							encoding.update(__UpperCamelCase    )

							return encoding




		def       snake_case     ( self						:						List[Any]							,    *__A						:						List[str]							,    **__A						:						Any    ):







							"""simple docstring"""
							return self.tokenizer.batch_decode(*__UpperCamelCase							,    **__UpperCamelCase    )




		def       snake_case     ( self						:						Optional[Any]							,    *__A						:						int							,    **__A						:						List[Any]    ):







							"""simple docstring"""
							return self.tokenizer.decode(*__UpperCamelCase							,    **__UpperCamelCase    )




		@property
		def       snake_case     ( self						:						Optional[int]    ):







							"""simple docstring"""
							_lowercase			= self.tokenizer.model_input_names
							_lowercase			= self.image_processor.model_input_names
							return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names    )    )




import functools





def a(lowercase__      ,			lowercase__						):





	'''simple docstring'''

	# Validation
	if not isinstance(lowercase__      ,			lowercase__						) or not all(isinstance(lowercase__      ,			lowercase__						) for day in days						):
		raise ValueError('The parameter days should be a list of integers'						)

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

	if len(lowercase__						) == 0:
		return 0

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

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

	snake_case_   		=			set(lowercase__						)

	@functools.cache
	def dynamic_programming(lowercase__						) -> 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()
