
def   __UpperCamelCase	(							lowerCAmelCase__				:							list[int]    ):





 if not numbers:
  return 0

 if not isinstance(lowerCAmelCase__    ,  (list, tuple)    ) or not all(
     isinstance(lowerCAmelCase__    ,  lowerCAmelCase__    ) for number in numbers    ):
  raise ValueError('''numbers must be an iterable of integers'''    )

 __a					:    List[Any]													=    numbers[0]

 for i in range(1    ,  len(lowerCAmelCase__    )    ):
  # update the maximum and minimum subarray products
  __a					:    List[str]													=    numbers[i]
  if number < 0:
   __a					:    Dict													=    min_till_now, max_till_now
  __a					:    Tuple													=    max(lowerCAmelCase__    ,  max_till_now * number    )
  __a					:    Optional[int]													=    min(lowerCAmelCase__    ,  min_till_now * number    )

  # update the maximum product found till now
  __a					:    Optional[int]													=    max(lowerCAmelCase__    ,  lowerCAmelCase__    )

 return max_prod




"""simple docstring"""



import warnings

from ...utils import logging
from .image_processing_segformer import SegformerImageProcessor


__snake_case       =       logging.get_logger(__name__)







class _lowerCAmelCase							( snake_case_      ):







   def __init__(      self		,      *UpperCamelCase__		,      **UpperCamelCase__		)      ->						None:

       '''simple docstring'''




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





