





'''simple docstring'''

def    a__							(							lowercase   :	int,   lowercase   :	float,   lowercase   :	float )						->						float:





     """simple docstring"""

     return round(float(moles / volume ) * nfactor )







def    a__							(							lowercase   :	float,   lowercase   :	float,   lowercase   :	float )						->						float:





     """simple docstring"""

     return round(float((moles * 0.0_8_2_1 * temperature) / (volume) ) )







def    a__							(							lowercase   :	float,   lowercase   :	float,   lowercase   :	float )						->						float:





     """simple docstring"""

     return round(float((moles * 0.0_8_2_1 * temperature) / (pressure) ) )







def    a__							(							lowercase   :	float,   lowercase   :	float,   lowercase   :	float )						->						float:





     """simple docstring"""

     return round(float((pressure * volume) / (0.0_8_2_1 * moles) ) )


if __name__ == "__main__":
   import doctest

   doctest.testmod()










'''simple docstring'''

from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase__		:     Tuple			=							{'configuration_mmbt': ['MMBTConfig']}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowercase__		:     int			=							['MMBTForClassification', 'MMBTModel', 'ModalEmbeddings']


if TYPE_CHECKING:
   from .configuration_mmbt import MMBTConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_mmbt import MMBTForClassification, MMBTModel, ModalEmbeddings

else:
   import sys

   lowercase__		:     List[Any]			=							_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



