


"""simple docstring"""




from __future__ import annotations

from math import pi, sqrt



def     __a   (	a,		a       ):





       """simple docstring"""







       if inductance <= 0:
              raise ValueError("Inductance cannot be 0 or negative"       )

       elif capacitance <= 0:
              raise ValueError("Capacitance cannot be 0 or negative"       )

       else:
              return (
                  "Resonant frequency",
                  float(1 / (2 * pi * (sqrt(inductance * capacitance       )))       ),
              )


if __name__ == "__main__":
   import doctest

   doctest.testmod()



_lowerCAmelCase  :      int			 ="""
# Installazione di Transformers
! pip install transformers datasets
# Per installare dalla fonte invece dell'ultima versione rilasciata, commenta il comando sopra e
# rimuovi la modalità commento al comando seguente.
# ! pip install git+https://github.com/huggingface/transformers.git
"""

_lowerCAmelCase  :      List[str]			 =[{"""type""": """code""", """content""": INSTALL_CONTENT}]
_lowerCAmelCase  :      int			 ={
    """{processor_class}""": """FakeProcessorClass""",
    """{model_class}""": """FakeModelClass""",
    """{object_class}""": """FakeObjectClass""",
}