





import warnings

from ...utils import logging
from .image_processing_flava import FlavaImageProcessor


__UpperCAmelCase       :   Any				       =							logging.get_logger(__name__)







class     __snake_case       (							__lowerCamelCase			):





       '''simple docstring'''







       def __init__(  self :    int							,				*A :    Optional[int]							,				**A :    Tuple		):
         warnings.warn(
             """The class FlavaFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
             """ use FlavaImageProcessor instead."""							,				A							,				)
         super().__init__(*A							,				**A		)










UpperCAmelCase__   	=							8.31_44_62  # Unit - J mol-1 K-1
def 				UpperCAmelCase_					(							__snake_case     ,						__snake_case     ,						__snake_case						)     ->			float:







 """simple docstring"""


 if moles < 0 or kelvin < 0 or volume < 0:
  raise ValueError('''Invalid inputs. Enter positive value.'''						)
 return moles * kelvin * UNIVERSAL_GAS_CONSTANT / volume
def 				UpperCAmelCase_					(							__snake_case     ,						__snake_case     ,						__snake_case						)     ->			float:







 """simple docstring"""


 if moles < 0 or kelvin < 0 or pressure < 0:
  raise ValueError('''Invalid inputs. Enter positive value.'''						)
 return moles * kelvin * UNIVERSAL_GAS_CONSTANT / pressure


if __name__ == "__main__":
  from doctest import testmod

  testmod()

