



"""simple docstring"""






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


__snake_case							:   Optional[Any]      =    logging.get_logger(__name__)

__snake_case							:   Union[str, Any]      =    {
    'RWKV/rwkv-4-169m-pile': 'https://huggingface.co/RWKV/rwkv-4-169m-pile/resolve/main/config.json',
    'RWKV/rwkv-4-430m-pile': 'https://huggingface.co/RWKV/rwkv-4-430m-pile/resolve/main/config.json',
    'RWKV/rwkv-4-1b5-pile': 'https://huggingface.co/RWKV/rwkv-4-1b5-pile/resolve/main/config.json',
    'RWKV/rwkv-4-3b-pile': 'https://huggingface.co/RWKV/rwkv-4-3b-pile/resolve/main/config.json',
    'RWKV/rwkv-4-7b-pile': 'https://huggingface.co/RWKV/rwkv-4-7b-pile/resolve/main/config.json',
    'RWKV/rwkv-4-14b-pile': 'https://huggingface.co/RWKV/rwkv-4-14b-pile/resolve/main/config.json',
    'RWKV/rwkv-raven-1b5': 'https://huggingface.co/RWKV/rwkv-raven-1b5/resolve/main/config.json',
    'RWKV/rwkv-raven-3b': 'https://huggingface.co/RWKV/rwkv-raven-3b/resolve/main/config.json',
    'RWKV/rwkv-raven-7b': 'https://huggingface.co/RWKV/rwkv-raven-7b/resolve/main/config.json',
    'RWKV/rwkv-raven-14b': 'https://huggingface.co/RWKV/rwkv-raven-14b/resolve/main/config.json',
}



class 			A__   (  __SCREAMING_SNAKE_CASE							):




	'''simple docstring'''





	SCREAMING_SNAKE_CASE          =	'rwkv'
	SCREAMING_SNAKE_CASE          =	{'max_position_embeddings': 'context_length'}

	def __init__(     self:		Optional[Any]       ,			_SCREAMING_SNAKE_CASE:		Optional[int]=5_0277       ,			_SCREAMING_SNAKE_CASE:		Tuple=1024       ,			_SCREAMING_SNAKE_CASE:		Optional[int]=4096       ,			_SCREAMING_SNAKE_CASE:		int=32       ,			_SCREAMING_SNAKE_CASE:		Optional[Any]=None       ,			_SCREAMING_SNAKE_CASE:		Optional[int]=None       ,			_SCREAMING_SNAKE_CASE:		Optional[Any]=1e-5       ,			_SCREAMING_SNAKE_CASE:		Tuple=0       ,			_SCREAMING_SNAKE_CASE:		List[Any]=0       ,			_SCREAMING_SNAKE_CASE:		int=6       ,			_SCREAMING_SNAKE_CASE:		Tuple=False       ,			_SCREAMING_SNAKE_CASE:		List[Any]=True       ,			**_SCREAMING_SNAKE_CASE:		Dict       ,			)				->       Union[str, Any]:

				"""simple docstring"""

				__lowerCAmelCase      :  Optional[Any]												=       vocab_size
				__lowerCAmelCase      :  Union[str, Any]												=       context_length
				__lowerCAmelCase      :  Dict												=       hidden_size
				__lowerCAmelCase      :  List[Any]												=       num_hidden_layers
				__lowerCAmelCase      :  Tuple												=       attention_hidden_size if attention_hidden_size is not None else hidden_size
				__lowerCAmelCase      :  Optional[int]												=       intermediate_size if intermediate_size is not None else 4 * hidden_size
				__lowerCAmelCase      :  int												=       layer_norm_epsilon
				__lowerCAmelCase      :  str												=       rescale_every
				__lowerCAmelCase      :  Tuple												=       use_cache

				__lowerCAmelCase      :  List[Any]												=       bos_token_id
				__lowerCAmelCase      :  Dict												=       eos_token_id

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




"""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()