






'''simple docstring'''

import fire

from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer



def 				snake_case       (  a_				:			str     , a_				:			str     , **a_				:			Optional[int]						)							->					Union[str, Any]:





      """simple docstring"""

      UpperCamelCase_					: Optional[Any]            =				AutoConfig.from_pretrained(a_     , **a_						)
      UpperCamelCase_					: Any            =				AutoModelForSeqaSeqLM.from_config(a_						)
      model.save_pretrained(a_						)
      AutoTokenizer.from_pretrained(a_						).save_pretrained(a_						)
      return model


if __name__ == "__main__":
      fire.Fire(save_randomly_initialized_version)














'''simple docstring'''

from __future__ import annotations

from math import pi, sqrt



def 				snake_case       (  a_				:			float     , a_				:			float						)							->					tuple:





      """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()






