code: 
  
  """simple docstring"""
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
  
  
  __magic_name__		       =				{
      '''configuration_flava''': [
          '''FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP''',
          '''FlavaConfig''',
          '''FlavaImageCodebookConfig''',
          '''FlavaImageConfig''',
          '''FlavaMultimodalConfig''',
          '''FlavaTextConfig''',
      ],
  }
  
  try:
  			if not is_vision_available():
  						raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  			pass
  else:
  			__magic_name__		       =				['''FlavaFeatureExtractor''']
  			__magic_name__		       =				['''FlavaImageProcessor''']
  			__magic_name__		       =				['''FlavaProcessor''']
  
  try:
  			if not is_torch_available():
  						raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  			pass
  else:
  			__magic_name__		       =				[
  			    '''FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST''',
  			    '''FlavaForPreTraining''',
  			    '''FlavaImageCodebook''',
  			    '''FlavaImageModel''',
  			    '''FlavaModel''',
  			    '''FlavaMultimodalModel''',
  			    '''FlavaPreTrainedModel''',
  			    '''FlavaTextModel''',
  			]
  
  if TYPE_CHECKING:
  			from .configuration_flava import (
  			    FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP,
  			    FlavaConfig,
  			    FlavaImageCodebookConfig,
  			    FlavaImageConfig,
  			    FlavaMultimodalConfig,
  			    FlavaTextConfig,
  			)
  
  			try:
  						if not is_vision_available():
  									raise OptionalDependencyNotAvailable()
  			except OptionalDependencyNotAvailable:
  						pass
  			else:
  						from .feature_extraction_flava import FlavaFeatureExtractor
  						from .image_processing_flava import FlavaImageProcessor
  						from .processing_flava import FlavaProcessor
  
  			try:
  						if not is_torch_available():
  									raise OptionalDependencyNotAvailable()
  			except OptionalDependencyNotAvailable:
  						pass
  			else:
  						from .modeling_flava import (
  						    FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST,
  						    FlavaForPreTraining,
  						    FlavaImageCodebook,
  						    FlavaImageModel,
  						    FlavaModel,
  						    FlavaMultimodalModel,
  						    FlavaPreTrainedModel,
  						    FlavaTextModel,
  						)
  
  else:
  			import sys
  
  			__magic_name__		       =				_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
  
  
  
  
  
style_context: 
  """simple docstring"""
  from collections import namedtuple
  
  __magic_name__		       =				namedtuple('''from_to''', '''from_ to''')
  
  __magic_name__		       =				{
      '''atm''': from_to(1, 1),
      '''pascal''': from_to(0.0000098, 10_13_25),
      '''bar''': from_to(0.986923, 1.01325),
      '''kilopascal''': from_to(0.00986923, 101.325),
      '''megapascal''': from_to(9.86923, 0.101325),
      '''psi''': from_to(0.068046, 14.6959),
      '''inHg''': from_to(0.0334211, 29.9213),
      '''torr''': from_to(0.00131579, 7_60),
  }
  
  
  
  
  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()
  
  
  
  
  