def       __SCREAMING_SNAKE_CASE    (   __UpperCamelCase       :			list      )				->   bool:







  """simple docstring"""





  if not isinstance(__UpperCamelCase					,	__UpperCamelCase      ):
    raise ValueError("""Input series is not valid, valid series - [1, 2/3, 2]"""      )
  if len(__UpperCamelCase      ) == 0:
    raise ValueError("""Input list must be a non empty list"""      )
  if len(__UpperCamelCase      ) == 1 and series[0] != 0:
    return True
  SCREAMING_SNAKE_CASE__     				= []
  SCREAMING_SNAKE_CASE__     				= len(__UpperCamelCase      )
  for i in range(0					,	__UpperCamelCase      ):
    if series[i] == 0:
      raise ValueError("""Input series cannot have 0 as an element"""      )
    rec_series.append(1 / series[i]      )
  SCREAMING_SNAKE_CASE__     				= rec_series[1] - rec_series[0]
  for index in range(2					,	__UpperCamelCase      ):
    if rec_series[index] - rec_series[index - 1] != common_diff:
      return False
  return True



def       __SCREAMING_SNAKE_CASE    (   __UpperCamelCase       :			list      )				->   float:







  """simple docstring"""





  if not isinstance(__UpperCamelCase					,	__UpperCamelCase      ):
    raise ValueError("""Input series is not valid, valid series - [2, 4, 6]"""      )
  if len(__UpperCamelCase      ) == 0:
    raise ValueError("""Input list must be a non empty list"""      )
  SCREAMING_SNAKE_CASE__     				= 0
  for val in series:
    answer += 1 / val
  return len(__UpperCamelCase      ) / answer


if __name__ == "__main__":
   import doctest

   doctest.testmod()

import warnings

from ...utils import logging
from .image_processing_vit import ViTImageProcessor


__lowerCamelCase     :					Union[str, Any]				  =						logging.get_logger(__name__)







class __snake_case							(		lowerCamelCase_						):




   def __init__(       self     :							str			,      *_lowercase     :							str			,      **_lowercase     :							str ):



     """simple docstring"""






     warnings.warn(
         """The class ViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
         """ use ViTImageProcessor instead."""			,      _lowercase			,      )
     super().__init__(*_lowercase			,      **_lowercase )
