
import warnings

from ...utils import logging
from .image_processing_detr import DetrImageProcessor


__lowerCamelCase     :   str							= logging.get_logger(__name__)






class 						UpperCAmelCase	(		lowerCamelCase__				):



   def __init__(self	:      List[str]					,		*snake_case__	:      Union[str, Any]					,		**snake_case__	:      int				)	->			List[Any]:


          '''simple docstring'''


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







def     UpperCamelCase      (					__lowerCamelCase  :				int = 998001					):
       snake_case :     Optional[Any]           =   0
       for i in range(999       ,      99       ,      -1					):  # 3 digit numbers range from 999 down to 100
              for j in range(999       ,      99       ,      -1					):
                     snake_case :     Tuple           =   str(i * j					)
                     if product_string == product_string[::-1] and i * j < n:
                            snake_case :     str           =   max(__lowerCamelCase       ,      i * j					)
       return answer


if __name__ == "__main__":
   print(F'{solution() = }')





