






"""simple docstring"""


from collections import namedtuple

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

lowercase_								=	{
    'atm': from_to(1, 1),
    'pascal': from_to(0.000_0098, 10_1325),
    'bar': from_to(0.98_6923, 1.0_1325),
    'kilopascal': from_to(0.0098_6923, 101.325),
    'megapascal': from_to(9.8_6923, 0.10_1325),
    'psi': from_to(0.06_8046, 14.6959),
    'inHg': from_to(0.033_4211, 29.9213),
    'torr': from_to(0.0013_1579, 760),
}



def    lowerCAmelCase							(       __UpperCamelCase						,			__UpperCamelCase						,			__UpperCamelCase					):




  """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 typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
    is_vision_available,
)


_A		:      Optional[Any]						   ={
    '''configuration_mobilevitv2''': [
        '''MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''MobileViTV2Config''',
        '''MobileViTV2OnnxConfig''',
    ],
}


try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _A		:      Union[str, Any]						   =[
     '''MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST''',
     '''MobileViTV2ForImageClassification''',
     '''MobileViTV2ForSemanticSegmentation''',
     '''MobileViTV2Model''',
     '''MobileViTV2PreTrainedModel''',
 ]

if TYPE_CHECKING:
 from .configuration_mobilevitva import (
     MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
     MobileViTVaConfig,
     MobileViTVaOnnxConfig,
 )

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_mobilevitva import (
      MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
      MobileViTVaForImageClassification,
      MobileViTVaForSemanticSegmentation,
      MobileViTVaModel,
      MobileViTVaPreTrainedModel,
  )

else:
 import sys

 _A		:      Tuple						   =_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)