




def     lowerCAmelCase		(		_lowerCAmelCase				: list    ,				_lowerCAmelCase				: int						):




 """simple docstring"""







 for index, item in enumerate(_lowerCAmelCase						):
  if item == target:
   return index
 return -1



def     lowerCAmelCase		(		_lowerCAmelCase				: list    ,				_lowerCAmelCase				: int    ,				_lowerCAmelCase				: int    ,				_lowerCAmelCase				: int						):




 """simple docstring"""







 if not (0 <= high < len(_lowerCAmelCase						) and 0 <= low < len(_lowerCAmelCase						)):
  raise Exception("Invalid upper or lower bound!"						)
 if high < low:
  return -1
 if sequence[low] == target:
  return low
 if sequence[high] == target:
  return high
 return rec_linear_search(_lowerCAmelCase    ,				low + 1    ,				high - 1    ,				_lowerCAmelCase						)


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

  _lowerCAmelCase    : Any		= int(input("Enter a single number to be found in the list:\n").strip())
  _lowerCAmelCase    : List[str]		= linear_search(sequence, target)
  if result != -1:
    print(F'''linear_search({sequence}, {target}) = {result}''')
  else:
    print(F'''{target} was not found in {sequence}''')






import warnings

from ...utils import logging
from .image_processing_conditional_detr import ConditionalDetrImageProcessor


__lowerCAmelCase    :  Tuple										= logging.get_logger(__name__)
class 				lowerCamelCase			(							__snake_case					):






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


          '''simple docstring'''







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


