




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


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

_lowerCamelCase      :  str      						=						{
    '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        __snake_case  (__lowercase		):
				lowerCAmelCase__				=     "rwkv"
				lowerCAmelCase__				=     {"max_position_embeddings": "context_length"}



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





								'''simple docstring'''




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

								_lowerCAmelCase    :    int										=      bos_token_id
								_lowerCAmelCase    :    Tuple										=      eos_token_id

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











def 							_UpperCAmelCase  (UpperCamelCase_ : str      ,    UpperCamelCase_ : bool = False       ):
				'''simple docstring'''

				if not isinstance(UpperCamelCase_      ,    UpperCamelCase_       ):
								_lowerCAmelCase    :    Tuple										=      F"Expected string as input, found {type(UpperCamelCase_       )}"
								raise ValueError(UpperCamelCase_       )
				if not isinstance(UpperCamelCase_      ,    UpperCamelCase_       ):
								_lowerCAmelCase    :    Optional[Any]										=      F"Expected boolean as use_pascal parameter, found {type(UpperCamelCase_       )}"
								raise ValueError(UpperCamelCase_       )

				_lowerCAmelCase    :    Any										=      input_str.split("""_"""       )

				_lowerCAmelCase    :    str										=      0 if use_pascal else 1

				_lowerCAmelCase    :    Any										=      words[start_index:]

				_lowerCAmelCase    :    List[str]										=      [word[0].upper() + word[1:] for word in words_to_capitalize]

				_lowerCAmelCase    :    Any										=      """""" if use_pascal else words[0]

				return "".join([initial_word, *capitalized_words]       )


if __name__ == "__main__":
	from doctest import testmod

	testmod()

