import warnings

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


__lowerCamelCase    :				Tuple							     =	logging.get_logger(__name__)

__lowerCamelCase    :				Optional[Any]							     =	{
    '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json''',
}







class __snake_case       (		lowerCamelCase_	):
   lowerCAmelCase_														=							"mvp"
   lowerCAmelCase_														=							["past_key_values"]
   lowerCAmelCase_														=							{"num_attention_heads": "encoder_attention_heads", "hidden_size": "d_model"}




   def __init__(					self    :       Union[str, Any] ,			_lowercase    :       int=5_02_67 ,			_lowercase    :       str=10_24 ,			_lowercase    :       List[Any]=12 ,			_lowercase    :       List[Any]=40_96 ,			_lowercase    :       Any=16 ,			_lowercase    :       str=12 ,			_lowercase    :       List[str]=40_96 ,			_lowercase    :       Union[str, Any]=16 ,			_lowercase    :       Union[str, Any]=0.0 ,			_lowercase    :       Tuple=0.0 ,			_lowercase    :       Any="gelu" ,			_lowercase    :       str=10_24 ,			_lowercase    :       List[str]=0.1 ,			_lowercase    :       str=0.0 ,			_lowercase    :       Union[str, Any]=0.0 ,			_lowercase    :       List[str]=0.02 ,			_lowercase    :       Dict=0.0 ,			_lowercase    :       List[Any]=False ,			_lowercase    :       str=True ,			_lowercase    :       Optional[Any]=1 ,			_lowercase    :       Union[str, Any]=0 ,			_lowercase    :       str=2 ,			_lowercase    :       Dict=True ,			_lowercase    :       Optional[int]=2 ,			_lowercase    :       Optional[int]=2 ,			_lowercase    :       Optional[int]=False ,			_lowercase    :       Tuple=1_00 ,			_lowercase    :       Union[str, Any]=8_00 ,			**_lowercase    :       Optional[Any] ,			):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   vocab_size
     SCREAMING_SNAKE_CASE__    							=   max_position_embeddings
     SCREAMING_SNAKE_CASE__    							=   d_model
     SCREAMING_SNAKE_CASE__    							=   encoder_ffn_dim
     SCREAMING_SNAKE_CASE__    							=   encoder_layers
     SCREAMING_SNAKE_CASE__    							=   encoder_attention_heads
     SCREAMING_SNAKE_CASE__    							=   decoder_ffn_dim
     SCREAMING_SNAKE_CASE__    							=   decoder_layers
     SCREAMING_SNAKE_CASE__    							=   decoder_attention_heads
     SCREAMING_SNAKE_CASE__    							=   dropout
     SCREAMING_SNAKE_CASE__    							=   attention_dropout
     SCREAMING_SNAKE_CASE__    							=   activation_dropout
     SCREAMING_SNAKE_CASE__    							=   activation_function
     SCREAMING_SNAKE_CASE__    							=   init_std
     SCREAMING_SNAKE_CASE__    							=   encoder_layerdrop
     SCREAMING_SNAKE_CASE__    							=   decoder_layerdrop
     SCREAMING_SNAKE_CASE__    							=   classifier_dropout
     SCREAMING_SNAKE_CASE__    							=   use_cache
     SCREAMING_SNAKE_CASE__    							=   encoder_layers
     SCREAMING_SNAKE_CASE__    							=   scale_embedding  # scale factor will be sqrt(d_model) if True
     SCREAMING_SNAKE_CASE__    							=   use_prompt
     SCREAMING_SNAKE_CASE__    							=   prompt_length
     SCREAMING_SNAKE_CASE__    							=   prompt_mid_dim

     super().__init__(
         pad_token_id=_lowercase ,			bos_token_id=_lowercase ,			eos_token_id=_lowercase ,			is_encoder_decoder=_lowercase ,			decoder_start_token_id=_lowercase ,			forced_eos_token_id=_lowercase ,			**_lowercase ,			)

     if self.forced_bos_token_id is None and kwargs.get("""force_bos_token_to_be_generated""" ,			_lowercase   ):
       SCREAMING_SNAKE_CASE__    							=   self.bos_token_id
       warnings.warn(
           f"""Please make sure the config includes `forced_bos_token_id={self.bos_token_id}` in future versions. """
           """The config can simply be saved and uploaded again to be fixed."""   )

def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: int			)							->      int:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__    							=   [1]

  SCREAMING_SNAKE_CASE__							,  SCREAMING_SNAKE_CASE__							,  SCREAMING_SNAKE_CASE__    							=   0, 0, 0
  SCREAMING_SNAKE_CASE__    							=   ugly_nums[ia] * 2
  SCREAMING_SNAKE_CASE__    							=   ugly_nums[ia] * 3
  SCREAMING_SNAKE_CASE__    							=   ugly_nums[ia] * 5

  for _ in range(1				,  __UpperCamelCase			):
    SCREAMING_SNAKE_CASE__    							=   min(__UpperCamelCase				,  __UpperCamelCase				,  __UpperCamelCase			)
    ugly_nums.append(__UpperCamelCase			)
    if next_num == next_a:
      ia += 1
      SCREAMING_SNAKE_CASE__    							=   ugly_nums[ia] * 2
    if next_num == next_a:
      ia += 1
      SCREAMING_SNAKE_CASE__    							=   ugly_nums[ia] * 3
    if next_num == next_a:
      ia += 1
      SCREAMING_SNAKE_CASE__    							=   ugly_nums[ia] * 5
  return ugly_nums[-1]


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

   testmod(verbose=True)
   print(F"""{ugly_numbers(200) = }""")
