






"""simple docstring"""


def 				a (     UpperCamelCase_							:				Any     ,	UpperCamelCase_							:				str		)  ->		Tuple:
 sequence.append(UpperCamelCase_		)

 __A	:       int       =	0
 while sequence[index] != target:
  index += 1

 sequence.pop()

 if index == len(UpperCamelCase_		):
  return None

 return index


if __name__ == "__main__":
   _UpperCamelCase   :						Dict     						= input("""Enter numbers separated by comma:\n""").strip()
   _UpperCamelCase   :						int     						= [int(item) for item in user_input.split(""",""")]

   _UpperCamelCase   :						int     						= input("""Enter a single number to be found in the list:\n""")
   _UpperCamelCase   :						List[str]     						= int(target_input)
   _UpperCamelCase   :						Dict     						= sentinel_linear_search(sequence, target)
   if result is not None:
      print(f'''{target} found at positions: {result}''')
   else:
      print("""Not found""")













"""simple docstring"""


import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


_UpperCamelCase   :						str     						= logging.get_logger(__name__)






class __a   (   snake_case_				):



  def __init__(self  :		Union[str, Any]				,			*lowercase_  :		Any				,			**lowercase_  :		Optional[Any]   )		->							None:
   warnings.warn(
       'The class LayoutLMv3FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
       ' Please use LayoutLMv3ImageProcessor instead.'				,			lowercase_				,			)
   super().__init__(*lowercase_				,			**lowercase_   )





