




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


lowercase__				:     str 		=						logging.get_logger(__name__)

lowercase__				:     Union[str, Any] 		=						{
    "s-JoL/Open-Llama-V1": "https://huggingface.co/s-JoL/Open-Llama-V1/blob/main/config.json",
}
class 		UpperCAmelCase   (				UpperCAmelCase__			):







						'''simple docstring'''





						lowerCAmelCase_     		=   '''open-llama'''






						def __init__(						self							:     int       ,	__lowercase							:     Union[str, Any]=10_00_00       ,	__lowercase							:     Any=40_96       ,	__lowercase							:     Any=1_10_08       ,	__lowercase							:     Optional[Any]=32       ,	__lowercase							:     Dict=32       ,	__lowercase							:     str="silu"       ,	__lowercase							:     Optional[int]=20_48       ,	__lowercase							:     Union[str, Any]=0.02       ,	__lowercase							:     Union[str, Any]=1E-6       ,	__lowercase							:     Optional[Any]=True       ,	__lowercase							:     List[str]=0       ,	__lowercase							:     List[str]=1       ,	__lowercase							:     str=2       ,	__lowercase							:     int=False       ,	__lowercase							:     Any=True       ,	__lowercase							:     Union[str, Any]=0.1       ,	__lowercase							:     Optional[int]=0.1       ,	__lowercase							:     str=True       ,	__lowercase							:     Any=True       ,	__lowercase							:     List[str]=None       ,	**__lowercase							:     Optional[Any]       ,	):






							"""simple docstring"""






							snake_case_		    =     vocab_size
							snake_case_		    =     max_position_embeddings
							snake_case_		    =     hidden_size
							snake_case_		    =     intermediate_size
							snake_case_		    =     num_hidden_layers
							snake_case_		    =     num_attention_heads
							snake_case_		    =     hidden_act
							snake_case_		    =     initializer_range
							snake_case_		    =     rms_norm_eps
							snake_case_		    =     use_cache
							snake_case_		    =     kwargs.pop(
							    "use_memorry_efficient_attention"       ,	__lowercase						)
							snake_case_		    =     hidden_dropout_prob
							snake_case_		    =     attention_dropout_prob
							snake_case_		    =     use_stable_embedding
							snake_case_		    =     shared_input_output_embedding
							snake_case_		    =     rope_scaling
							self._rope_scaling_validation()

							super().__init__(
							    pad_token_id=__lowercase       ,	bos_token_id=__lowercase       ,	eos_token_id=__lowercase       ,	tie_word_embeddings=__lowercase       ,	**__lowercase       ,	)






						def        snake_case__						(						self							:     Any						):






							"""simple docstring"""






							if self.rope_scaling is None:
								return

							if not isinstance(self.rope_scaling       ,	__lowercase						) or len(self.rope_scaling						) != 2:
								raise ValueError(
								    "`rope_scaling` must be a dictionary with with two fields, `name` and `factor`, "
								    f"got {self.rope_scaling}"						)
							snake_case_		    =     self.rope_scaling.get("type"       ,	__lowercase						)
							snake_case_		    =     self.rope_scaling.get("factor"       ,	__lowercase						)
							if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
								raise ValueError(
								    f"`rope_scaling`'s name field must be one of ['linear', 'dynamic'], got {rope_scaling_type}"						)
							if rope_scaling_factor is None or not isinstance(__lowercase       ,	__lowercase						) or rope_scaling_factor <= 1.0:
								raise ValueError(f"`rope_scaling`'s factor field must be an float > 1, got {rope_scaling_factor}"						)






import functools


def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





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

	snake_case_		    =     set(_A							)

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