



from __future__ import annotations

a_						:     Tuple	     =		1.6_0_2_1E-1_9  # units = C

def     __lowercase(	UpperCAmelCase__   ,   UpperCAmelCase__   ,   UpperCAmelCase__   ,   ):


      """simple docstring"""



      if (conductivity, electron_conc, mobility).count(0 ) != 1:
            raise ValueError("You cannot supply more or less than 2 values" )
      elif conductivity < 0:
            raise ValueError("Conductivity cannot be negative" )
      elif electron_conc < 0:
            raise ValueError("Electron concentration cannot be negative" )
      elif mobility < 0:
            raise ValueError("mobility cannot be negative" )
      elif conductivity == 0:
            return (
                "conductivity",
                mobility * electron_conc * ELECTRON_CHARGE,
            )
      elif electron_conc == 0:
            return (
                "electron_conc",
                conductivity / (mobility * ELECTRON_CHARGE),
            )
      else:
            return (
                "mobility",
                conductivity / (electron_conc * ELECTRON_CHARGE),
            )


if __name__ == "__main__":
       import doctest

       doctest.testmod()




from typing import TYPE_CHECKING

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


a_						:     int	     =		{'configuration_van': ['VAN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'VanConfig']}


try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     a_						:     Dict	     =		[
         'VAN_PRETRAINED_MODEL_ARCHIVE_LIST',
         'VanForImageClassification',
         'VanModel',
         'VanPreTrainedModel',
     ]

if TYPE_CHECKING:
     from .configuration_van import VAN_PRETRAINED_CONFIG_ARCHIVE_MAP, VanConfig

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_van import (
              VAN_PRETRAINED_MODEL_ARCHIVE_LIST,
              VanForImageClassification,
              VanModel,
              VanPreTrainedModel,
          )

else:
     import sys

     a_						:     Union[str, Any]	     =		_LazyModule(__name__, globals()['__file__'], _import_structure)