





from ...configuration_utils import PretrainedConfig

class 		SCREAMING_SNAKE_CASE__				(       lowercase__  ):
      A_						:				List[str]							=    """bert-generation"""


      def __init__(self       :      Optional[int]				,			a__       :      Optional[int]=5_0358				,			a__       :      Dict=1024				,			a__       :      List[Any]=24				,			a__       :      List[str]=16				,			a__       :      Optional[int]=4096				,			a__       :      Union[str, Any]="gelu"				,			a__       :      Union[str, Any]=0.1				,			a__       :      Union[str, Any]=0.1				,			a__       :      Dict=512				,			a__       :      int=0.0_2				,			a__       :      str=1E-12				,			a__       :      str=0				,			a__       :      List[str]=2				,			a__       :      int=1				,			a__       :      int="absolute"				,			a__       :      Optional[Any]=True				,			**a__       :      Dict				,			):





         """simple docstring"""



         super().__init__(pad_token_id=lowercase_				,			bos_token_id=lowercase_				,			eos_token_id=lowercase_				,			**lowercase_      )

         __snake_case							       =   vocab_size
         __snake_case							       =   hidden_size
         __snake_case							       =   num_hidden_layers
         __snake_case							       =   num_attention_heads
         __snake_case							       =   hidden_act
         __snake_case							       =   intermediate_size
         __snake_case							       =   hidden_dropout_prob
         __snake_case							       =   attention_probs_dropout_prob
         __snake_case							       =   max_position_embeddings
         __snake_case							       =   initializer_range
         __snake_case							       =   layer_norm_eps
         __snake_case							       =   position_embedding_type
         __snake_case							       =   use_cache



"""simple docstring"""





from collections import namedtuple

_a		       =							namedtuple('from_to', 'from_ to')

_a		       =							{
    'cubicmeter': from_to(1, 1),
    'litre': from_to(0.001, 1_000),
    'kilolitre': from_to(1, 1),
    'gallon': from_to(0.0_0454, 264.172),
    'cubicyard': from_to(0.7_6455, 1.3_0795),
    'cubicfoot': from_to(0.028, 35.3147),
    'cup': from_to(0.0_0023_6588, 4226.75),
}







def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase  ):
   if from_type not in METRIC_CONVERSION:
      raise ValueError(
          f"""Invalid 'from_type' value: {from_type!r}  Supported values are:\n"""
          + ", ".join(__lowerCamelCase  )  )
   if to_type not in METRIC_CONVERSION:
      raise ValueError(
          f"""Invalid 'to_type' value: {to_type!r}.  Supported values are:\n"""
          + ", ".join(__lowerCamelCase  )  )
   return value * METRIC_CONVERSION[from_type].from_ * METRIC_CONVERSION[to_type].to


if __name__ == "__main__":
    import doctest

    doctest.testmod()


