

'''simple docstring'''




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


_a					:			Tuple							=    logging.get_logger(__name__)

_a					:			Any							=    {'openai-gpt': 'https://huggingface.co/openai-gpt/resolve/main/config.json'}



class 							lowercase_						(		SCREAMING_SNAKE_CASE_			):

  '''simple docstring'''





  __lowerCAmelCase       :			Any     	= "openai-gpt"
  __lowerCAmelCase       :			Optional[Any]     	= {
      "max_position_embeddings": "n_positions",
      "hidden_size": "n_embd",
      "num_attention_heads": "n_head",
      "num_hidden_layers": "n_layer",
  }
  def __init__(  self ,			a_=4_0_4_7_8 ,			a_=5_1_2 ,			a_=7_6_8 ,			a_=1_2 ,			a_=1_2 ,			a_="gelu" ,			a_=0.1 ,			a_=0.1 ,			a_=0.1 ,			a_=1E-5 ,			a_=0.02 ,			a_="cls_index" ,			a_=True ,			a_=None ,			a_=True ,			a_=0.1 ,			**a_ ,			)				->					Optional[Any]:


    """simple docstring"""
    UpperCAmelCase    				=						vocab_size
    UpperCAmelCase    				=						n_positions
    UpperCAmelCase    				=						n_embd
    UpperCAmelCase    				=						n_layer
    UpperCAmelCase    				=						n_head
    UpperCAmelCase    				=						afn
    UpperCAmelCase    				=						resid_pdrop
    UpperCAmelCase    				=						embd_pdrop
    UpperCAmelCase    				=						attn_pdrop
    UpperCAmelCase    				=						layer_norm_epsilon
    UpperCAmelCase    				=						initializer_range
    UpperCAmelCase    				=						summary_type
    UpperCAmelCase    				=						summary_use_proj
    UpperCAmelCase    				=						summary_activation
    UpperCAmelCase    				=						summary_first_dropout
    UpperCAmelCase    				=						summary_proj_to_labels
    super().__init__(**__SCREAMING_SNAKE_CASE  )










'''simple docstring'''







import functools





def 		_UpperCAmelCase (				__A				: list[int]    ,		__A				: list[int]   ):

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

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

				if len(__A   ) == 0:
								return 0

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

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

				a_		:	List[Any]									=   set(__A   )

				@functools.cache
				def dynamic_programming(__A				: int   ) -> 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()




