


'''simple docstring'''



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


A__		:					List[str]												=  logging.get_logger(__name__)

A__		:					Dict												=  {}





class    UpperCAmelCase_  (__SCREAMING_SNAKE_CASE  ):





    """simple docstring"""






    lowerCamelCase  :					Union[str, Any]							     =			'llama'
    lowerCamelCase  :					Any							     =			['past_key_values']







    def __init__(							self			,     SCREAMING_SNAKE_CASE_=3_20_00			,     SCREAMING_SNAKE_CASE_=40_96			,     SCREAMING_SNAKE_CASE_=1_10_08			,     SCREAMING_SNAKE_CASE_=32			,     SCREAMING_SNAKE_CASE_=32			,     SCREAMING_SNAKE_CASE_=None			,     SCREAMING_SNAKE_CASE_="silu"			,     SCREAMING_SNAKE_CASE_=20_48			,     SCREAMING_SNAKE_CASE_=0.0_2			,     SCREAMING_SNAKE_CASE_=1E-6			,     SCREAMING_SNAKE_CASE_=True			,     SCREAMING_SNAKE_CASE_=0			,     SCREAMING_SNAKE_CASE_=1			,     SCREAMING_SNAKE_CASE_=2			,     SCREAMING_SNAKE_CASE_=1			,     SCREAMING_SNAKE_CASE_=False			,     SCREAMING_SNAKE_CASE_=None			,     **SCREAMING_SNAKE_CASE_			,     )				->     Union[str, Any]:
         __lowerCamelCase   :	int								=		vocab_size
         __lowerCamelCase   :	List[str]								=		max_position_embeddings
         __lowerCamelCase   :	Dict								=		hidden_size
         __lowerCamelCase   :	Union[str, Any]								=		intermediate_size
         __lowerCamelCase   :	str								=		num_hidden_layers
         __lowerCamelCase   :	List[Any]								=		num_attention_heads

         # for backward compatibility
         if num_key_value_heads is None:
              __lowerCamelCase   :	Optional[int]								=		num_attention_heads

         __lowerCamelCase   :	Union[str, Any]								=		num_key_value_heads
         __lowerCamelCase   :	str								=		hidden_act
         __lowerCamelCase   :	Dict								=		initializer_range
         __lowerCamelCase   :	str								=		rms_norm_eps
         __lowerCamelCase   :	str								=		pretraining_tp
         __lowerCamelCase   :	int								=		use_cache
         __lowerCamelCase   :	int								=		rope_scaling
         self._rope_scaling_validation()

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







    def       lowercase_				(							self	)				->     List[Any]:

         if self.rope_scaling is None:
              return

         if not isinstance(self.rope_scaling			,     _SCREAMING_SNAKE_CASE	) 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}'	)
         __lowerCamelCase   :	List[Any]								=		self.rope_scaling.get('type'			,     _SCREAMING_SNAKE_CASE	)
         __lowerCamelCase   :	List[str]								=		self.rope_scaling.get('factor'			,     _SCREAMING_SNAKE_CASE	)
         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(_SCREAMING_SNAKE_CASE			,     _SCREAMING_SNAKE_CASE	) or rope_scaling_factor <= 1.0:
              raise ValueError(f'`rope_scaling`\'s factor field must be an float > 1, got {rope_scaling_factor}'	)











"""simple docstring"""






import re


def 			_lowercase				(  __snake_case	)						->   str:

			if len(re.findall("[ATCG]"					,__snake_case	)	) != len(__snake_case	):
						raise ValueError("Invalid Strand"	)

			return dna.translate(dna.maketrans("ATCG"					,"TAGC"	)	)


if __name__ == "__main__":
	import doctest

	doctest.testmod()