


'''simple docstring'''







from __future__ import annotations


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	float    ,_UpperCAmelCase	:	float    ,_UpperCAmelCase	:	float    ,)  ->			tuple:
       if (electron_conc, hole_conc, intrinsic_conc).count(0  ) != 1:
              raise ValueError("""You cannot supply more or less than 2 values"""  )
       elif electron_conc < 0:
              raise ValueError("""Electron concentration cannot be negative in a semiconductor"""  )
       elif hole_conc < 0:
              raise ValueError("""Hole concentration cannot be negative in a semiconductor"""  )
       elif intrinsic_conc < 0:
              raise ValueError(
                  """Intrinsic concentration cannot be negative in a semiconductor"""  )
       elif electron_conc == 0:
              return (
                  "electron_conc",
                  intrinsic_conc**2 / hole_conc,
              )
       elif hole_conc == 0:
              return (
                  "hole_conc",
                  intrinsic_conc**2 / electron_conc,
              )
       elif intrinsic_conc == 0:
              return (
                  "intrinsic_conc",
                  (electron_conc * hole_conc) ** 0.5,
              )
       else:
              return (-1, -1)


if __name__ == "__main__":
   import doctest

   doctest.testmod()






'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available


A__:    str					    =       {}

try:
   if not is_sentencepiece_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   A__:    Tuple					    =       ['''GPTSw3Tokenizer''']


if TYPE_CHECKING:
   try:
      if not is_sentencepiece_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_gpt_swa import GPTSwaTokenizer

else:
   import sys

   A__:    str					    =       _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


