

import warnings

from ...utils import logging
from .image_processing_mobilenet_va import MobileNetVaImageProcessor


_lowerCamelCase							=logging.get_logger(__name__)



class 						a_			(				lowerCamelCase_	):



      """simple docstring"""







      def __init__( self	:				List[str]     ,*snake_case	:				Tuple     ,**snake_case	:				List[str]							):
           warnings.warn(
               'The class MobileNetV1FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
               ' Please use MobileNetV1ImageProcessor instead.'     ,snake_case     ,)
           super().__init__(*snake_case     ,**snake_case							)




from __future__ import annotations

_lowerCamelCase							={1: 1}







def      snake_case__							(  lowerCAmelCase_     ):





     """simple docstring"""







     if n in COLLATZ_SEQUENCE_LENGTHS:
          return COLLATZ_SEQUENCE_LENGTHS[n]
     SCREAMING_SNAKE_CASE 		=n // 2 if n % 2 == 0 else 3 * n + 1
     SCREAMING_SNAKE_CASE 		=collatz_sequence_length(lowerCAmelCase_     ) + 1
     SCREAMING_SNAKE_CASE 		=sequence_length
     return sequence_length







def      snake_case__							(  lowerCAmelCase_ = 1000000     ):





     """simple docstring"""







     SCREAMING_SNAKE_CASE 		=max((collatz_sequence_length(lowerCAmelCase_     ), i) for i in range(1,       lowerCAmelCase_     )     )
     return result[1]


if __name__ == "__main__":
 print(solution(int(input().strip())))

