


import warnings

from ...utils import logging
from .image_processing_videomae import VideoMAEImageProcessor


snake_case__				:	Tuple					       =					logging.get_logger(__name__)





class   SCREAMING_SNAKE_CASE_			(a__						):




       '''simple docstring'''



       def __init__(						self				:				int		,				*__a				:				Any		,				**__a				:				Tuple							)					->None:
          warnings.warn(
              """The class VideoMAEFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
              """ Please use VideoMAEImageProcessor instead."""		,				__a		,				)
          super().__init__(*__a		,				**__a							)









from __future__ import annotations

from collections import namedtuple


def    __lowerCamelCase   (      A__						: float						,						A__						: float						,						A__						: float					)     ->    tuple:
   lowerCamelCase_						:   Dict		= 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()





