



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


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

__snake_case     :int			       ={
    '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        lowerCAmelCase__					(  __A       ):
				A_   :     List[Any]								=     'rwkv'
				A_   :     Optional[int]								=     {'max_position_embeddings': 'context_length'}


				def __init__(							self      :  Dict						, __UpperCamelCase      :  int=50_277						, __UpperCamelCase      :  List[Any]=1_024						, __UpperCamelCase      :  Tuple=4_096						, __UpperCamelCase      :  str=32						, __UpperCamelCase      :  Dict=None						, __UpperCamelCase      :  Any=None						, __UpperCamelCase      :  List[Any]=1e-5						, __UpperCamelCase      :  Optional[int]=0						, __UpperCamelCase      :  Tuple=0						, __UpperCamelCase      :  str=6						, __UpperCamelCase      :  List[Any]=False						, __UpperCamelCase      :  Tuple=True						, **__UpperCamelCase      :  Tuple						, )		->     int:
											A      						=    vocab_size
											A      						=    context_length
											A      						=    hidden_size
											A      						=    num_hidden_layers
											A      						=    attention_hidden_size if attention_hidden_size is not None else hidden_size
											A      						=    intermediate_size if intermediate_size is not None else 4 * hidden_size
											A      						=    layer_norm_epsilon
											A      						=    rescale_every
											A      						=    use_cache

											A      						=    bos_token_id
											A      						=    eos_token_id

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







'''simple docstring'''



from __future__ import annotations


def 				lowercase_					(     __A			:							list[list[int]]      )							->   int:



 """simple docstring"""




 for i in range(1       ,   len(matrix[0]      )      ):
  matrix[0][i] += matrix[0][i - 1]

 # preprocessing the first column
 for i in range(1       ,   len(__A      )      ):
  matrix[i][0] += matrix[i - 1][0]

 # updating the path cost for current position
 for i in range(1       ,   len(__A      )      ):
  for j in range(1       ,   len(matrix[0]      )      ):
   matrix[i][j] += min(matrix[i - 1][j]       ,   matrix[i][j - 1]      )

 return matrix[-1][-1]


if __name__ == "__main__":
      import doctest

      doctest.testmod()



