


from __future__ import annotations

_SCREAMING_SNAKE_CASE      :			Tuple      				=   1.6_0_2_1e-1_9  # units = C
def       UpperCAmelCase__						(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()








import re

from filelock import FileLock


try:
 import nltk

 _SCREAMING_SNAKE_CASE      :			Union[str, Any]      				=   True
except (ImportError, ModuleNotFoundError):
 _SCREAMING_SNAKE_CASE      :			Optional[Any]      				=   False

if NLTK_AVAILABLE:
 with FileLock(".lock") as lock:
  nltk.download("punkt", quiet=True)
def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     re.sub('''<n>'''							,''''''							,UpperCamelCase_    )  # remove pegasus newline char
     assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
     return "\n".join(nltk.sent_tokenize(UpperCamelCase_    )    )




