




from __future__ import annotations

from collections import namedtuple

def  SCREAMING_SNAKE_CASE							(       __UpperCamelCase		, __UpperCamelCase		, __UpperCamelCase)      ->					tuple:
     a     =				namedtuple("result"		, "name value")
     if (voltage, current, power).count(0) != 1:
          raise ValueError("Only one argument must be 0")
     elif power < 0:
          raise ValueError(
              "Power cannot be negative in any electrical/electronics system")
     elif voltage == 0:
          return result("voltage"		, power / current)
     elif current == 0:
          return result("current"		, power / voltage)
     elif power == 0:
          return result("power"		, float(round(abs(voltage * current)		, 2)))
     else:
          raise ValueError("Exactly one argument must be 0")


if __name__ == "__main__":
   import doctest

   doctest.testmod()







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

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

