





from collections import namedtuple

SCREAMING_SNAKE_CASE_		  =			namedtuple("""from_to""", """from_ to""")

SCREAMING_SNAKE_CASE_		  =			{
    'atm': from_to(1, 1),
    'pascal': from_to(0.000_0098, 1_0_1_3_2_5),
    'bar': from_to(0.98_6923, 1.0_1325),
    'kilopascal': from_to(0.0098_6923, 1_0_1.3_2_5),
    'megapascal': from_to(9.8_6923, 0.10_1325),
    'psi': from_to(0.06_8046, 1_4.6_9_5_9),
    'inHg': from_to(0.033_4211, 2_9.9_2_1_3),
    'torr': from_to(0.0013_1579, 7_6_0),
}



def   __lowercase  ( _SCREAMING_SNAKE_CASE					,		_SCREAMING_SNAKE_CASE					,		_SCREAMING_SNAKE_CASE      )					->  float:


      '''simple docstring'''


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


if __name__ == "__main__":
      import doctest

      doctest.testmod()







"""simple docstring"""




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


_UpperCamelCase:					Tuple     				=	logging.get_logger(__name__)

_UpperCamelCase:					List[str]     				=	{
    'facebook/regnet-y-040': 'https://huggingface.co/facebook/regnet-y-040/blob/main/config.json',
}


class 	a__		(    SCREAMING_SNAKE_CASE__  ):
   _lowerCamelCase       				=					'regnet'
   _lowerCamelCase       				=					['x', 'y']


   def __init__(				self   :				Union[str, Any],  lowerCAmelCase   :				Union[str, Any]=3,  lowerCAmelCase   :				Tuple=32,  lowerCAmelCase   :				Optional[int]=[128, 192, 512, 1088],  lowerCAmelCase   :				Optional[int]=[2, 6, 12, 2],  lowerCAmelCase   :				str=64,  lowerCAmelCase   :				List[str]="y",  lowerCAmelCase   :				Optional[int]="relu",  **lowerCAmelCase   :				List[Any],  )     ->							Union[str, Any]:
         super().__init__(**lowerCAmelCase      )
         if layer_type not in self.layer_types:
               raise ValueError(f'''layer_type={layer_type} is not one of {','.join(self.layer_types      )}'''      )
         lowercase	:   str											= num_channels
         lowercase	:   str											= embedding_size
         lowercase	:   int											= hidden_sizes
         lowercase	:   Tuple											= depths
         lowercase	:   str											= groups_width
         lowercase	:   List[str]											= layer_type
         lowercase	:   Optional[int]											= hidden_act
         # always downsample in the first stage
         lowercase	:   Optional[Any]											= True
