






"""simple docstring"""


import warnings

from ...utils import logging
from .image_processing_convnext import ConvNextImageProcessor


lowercase_    					=					logging.get_logger(__name__)


class  snake_case		(							_lowerCAmelCase						):


   '''simple docstring'''

   def __init__(     self			:					Optional[int],	*_lowerCamelCase			:					str,	**_lowerCamelCase			:					int  ):

     '''simple docstring'''
     warnings.warn(
         '''The class ConvNextFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
         ''' Please use ConvNextImageProcessor instead.''',	_lowerCamelCase,	)
     super().__init__(*_lowerCamelCase,	**_lowerCamelCase  )












"""simple docstring"""


def  lowerCAmelCase    (   __UpperCamelCase			):




  """simple docstring"""







  if not isinstance(__UpperCamelCase		,	__UpperCamelCase			):
    raise ValueError('''Input series is not valid, valid series - [2, 4, 8]'''			)
  if len(__UpperCamelCase			) == 0:
    raise ValueError('''Input list must be a non empty list'''			)
  if len(__UpperCamelCase			) == 1:
    return True
  try:
    __A						      =			series[1] / series[0]
    for index in range(len(__UpperCamelCase			) - 1			):
      if series[index + 1] / series[index] != common_ratio:
        return False
  except ZeroDivisionError:
    return False
  return True



def  lowerCAmelCase    (   __UpperCamelCase			):




  """simple docstring"""







  if not isinstance(__UpperCamelCase		,	__UpperCamelCase			):
    raise ValueError('''Input series is not valid, valid series - [2, 4, 8]'''			)
  if len(__UpperCamelCase			) == 0:
    raise ValueError('''Input list must be a non empty list'''			)
  __A						      =			1
  for value in series:
    answer *= value
  return pow(__UpperCamelCase		,	1 / len(__UpperCamelCase			)			)


if __name__ == "__main__":
       import doctest

       doctest.testmod()




