code: 
  
  
  
  from collections import namedtuple
  
  __UpperCAmelCase      = namedtuple('''from_to''', '''from_ to''')
  
  __UpperCAmelCase      = {
      'atm': from_to(1, 1),
      'pascal': from_to(0.0_00_00_98, 101_325),
      'bar': from_to(0.98_69_23, 1.0_13_25),
      'kilopascal': from_to(0.00_98_69_23, 101.325),
      'megapascal': from_to(9.8_69_23, 0.10_13_25),
      'psi': from_to(0.06_80_46, 14.6_959),
      'inHg': from_to(0.0_33_42_11, 29.9_213),
      'torr': from_to(0.00_13_15_79, 760),
  }
  def 	UpperCamelCase			(     snake_case__ :					float ,  snake_case__ :					str ,  snake_case__ :					str			)			->  Dict:
     if from_type not in PRESSURE_CONVERSION:
        raise ValueError(
            F"""Invalid \'from_type\' value: {from_type!r}  Supported values are:\n"""
            + ', '.join(lowercase__			)			)
     if to_type not in PRESSURE_CONVERSION:
        raise ValueError(
            F"""Invalid \'to_type\' value: {to_type!r}.  Supported values are:\n"""
            + ', '.join(lowercase__			)			)
     return (
         value * PRESSURE_CONVERSION[from_type].from_ * PRESSURE_CONVERSION[to_type].to
     )
  
  
  if __name__ == "__main__":
      import doctest
  
      doctest.testmod()
  
  
  
  
style_context: 
  
  
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  __UpperCAmelCase      = logging.get_logger(__name__)
  
  __UpperCAmelCase      = {
      '''microsoft/mpnet-base''': '''https://huggingface.co/microsoft/mpnet-base/resolve/main/config.json''',
  }
  
  
  
  class        lowerCAmelCase_	(						a__							):
         UpperCAmelCase__       :      Union[str, Any]       =						"mpnet"
         def __init__(    self,    SCREAMING_SNAKE_CASE_=3_0527,    SCREAMING_SNAKE_CASE_=768,    SCREAMING_SNAKE_CASE_=12,    SCREAMING_SNAKE_CASE_=12,    SCREAMING_SNAKE_CASE_=3072,    SCREAMING_SNAKE_CASE_="gelu",    SCREAMING_SNAKE_CASE_=0.1,    SCREAMING_SNAKE_CASE_=0.1,    SCREAMING_SNAKE_CASE_=512,    SCREAMING_SNAKE_CASE_=0.02,    SCREAMING_SNAKE_CASE_=1e-12,    SCREAMING_SNAKE_CASE_=32,    SCREAMING_SNAKE_CASE_=1,    SCREAMING_SNAKE_CASE_=0,    SCREAMING_SNAKE_CASE_=2,    **SCREAMING_SNAKE_CASE_,    )  ->	Optional[int]:
            super().__init__(pad_token_id=SCREAMING_SNAKE_CASE_,    bos_token_id=SCREAMING_SNAKE_CASE_,    eos_token_id=SCREAMING_SNAKE_CASE_,    **SCREAMING_SNAKE_CASE_ )
  
            UpperCamelCase					:						Any					=			vocab_size
            UpperCamelCase					:						Optional[Any]					=			hidden_size
            UpperCamelCase					:						Union[str, Any]					=			num_hidden_layers
            UpperCamelCase					:						Optional[int]					=			num_attention_heads
            UpperCamelCase					:						Optional[Any]					=			hidden_act
            UpperCamelCase					:						str					=			intermediate_size
            UpperCamelCase					:						Optional[Any]					=			hidden_dropout_prob
            UpperCamelCase					:						Union[str, Any]					=			attention_probs_dropout_prob
            UpperCamelCase					:						List[Any]					=			max_position_embeddings
            UpperCamelCase					:						Union[str, Any]					=			initializer_range
            UpperCamelCase					:						List[str]					=			layer_norm_eps
            UpperCamelCase					:						str					=			relative_attention_num_buckets
  
  
  
  