

from __future__ import annotations





def      snake_case_				(__A					:						float ,       __A					:						float ,       __A					:						float ,       )      ->     tuple[str, float]:
   if (stress, tangential_force, area).count(0					) != 1:
      raise ValueError("""You cannot supply more or less than 2 values"""					)
   elif stress < 0:
      raise ValueError("""Stress cannot be negative"""					)
   elif tangential_force < 0:
      raise ValueError("""Tangential Force cannot be negative"""					)
   elif area < 0:
      raise ValueError("""Area cannot be negative"""					)
   elif stress == 0:
      return (
          "stress",
          tangential_force / area,
      )
   elif tangential_force == 0:
      return (
          "tangential_force",
          stress * area,
      )
   else:
      return (
          "area",
          tangential_force / stress,
      )


if __name__ == "__main__":
   import doctest

   doctest.testmod()





__UpperCAmelCase								=			"""
# Transformers installation
! pip install transformers datasets
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
"""

__UpperCAmelCase								=			[{"""type""": """code""", """content""": INSTALL_CONTENT}]
__UpperCAmelCase								=			{
    """{processor_class}""": """FakeProcessorClass""",
    """{model_class}""": """FakeModelClass""",
    """{object_class}""": """FakeObjectClass""",
}


