



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


lowercase_		:				Optional[Any]				=						{
    '''configuration_roc_bert''': ['''ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''RoCBertConfig'''],
    '''tokenization_roc_bert''': ['''RoCBertTokenizer'''],
}

try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		pass

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase_		:				Tuple				=						[
		    '''ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''RoCBertForCausalLM''',
		    '''RoCBertForMaskedLM''',
		    '''RoCBertForMultipleChoice''',
		    '''RoCBertForPreTraining''',
		    '''RoCBertForQuestionAnswering''',
		    '''RoCBertForSequenceClassification''',
		    '''RoCBertForTokenClassification''',
		    '''RoCBertLayer''',
		    '''RoCBertModel''',
		    '''RoCBertPreTrainedModel''',
		    '''load_tf_weights_in_roc_bert''',
		]

if TYPE_CHECKING:
		from .configuration_roc_bert import ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RoCBertConfig
		from .tokenization_roc_bert import RoCBertTokenizer

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				raise OptionalDependencyNotAvailable()

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_roc_bert import (
				    ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    RoCBertForCausalLM,
				    RoCBertForMaskedLM,
				    RoCBertForMultipleChoice,
				    RoCBertForPreTraining,
				    RoCBertForQuestionAnswering,
				    RoCBertForSequenceClassification,
				    RoCBertForTokenClassification,
				    RoCBertLayer,
				    RoCBertModel,
				    RoCBertPreTrainedModel,
				    load_tf_weights_in_roc_bert,
				)


else:
		import sys

		lowercase_		:				Tuple				=						_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)













import functools

def       A__(		__lowerCAmelCase	,			__lowerCAmelCase ):

				# 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 ) >= 3_66:
								raise ValueError('All days elements should be less than 366' )

				_snake_case :			Optional[int]  						=   set(__lowerCAmelCase )

				@functools.cache
				def dynamic_programming(__lowerCAmelCase ) -> int:
								if index > 3_65:
												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()






