

# as due to their complexity multi-gpu tests could impact other tests, and to aid debug we have those in a separate module.

import os
import sys

from transformers.testing_utils import TestCasePlus, execute_subprocess_async, get_gpu_count, require_torch_gpu, slow

from .utils import load_json



class 						a_			(				lowerCamelCase_	):



      """simple docstring"""







      @classmethod
      def 			_lowerCAmelCase	( cls	:				Tuple							):
           return cls


      @slow
      @require_torch_gpu
      def 			_lowerCAmelCase	( self	:				Optional[int]							):
           SCREAMING_SNAKE_CASE 		=self.get_auto_remove_tmp_dir()
           SCREAMING_SNAKE_CASE 		=f'\n            --model_name Helsinki-NLP/opus-mt-en-ro\n            --save_dir {output_dir}\n            --data_dir {self.test_file_dir_str}/test_data/wmt_en_ro\n            --num_beams 2\n            --task translation\n        '.split()

           # we want this test to run even if there is only one GPU, but if there are more we use them all
           SCREAMING_SNAKE_CASE 		=get_gpu_count()
           SCREAMING_SNAKE_CASE 		=f'\n            -m torch.distributed.launch\n            --nproc_per_node={n_gpu}\n            {self.test_file_dir}/run_distributed_eval.py\n        '.split()
           SCREAMING_SNAKE_CASE 		=[sys.executable] + distributed_args + args
           execute_subprocess_async(snake_case     ,env=self.get_env()							)

           SCREAMING_SNAKE_CASE 		=os.path.join(snake_case     ,'test_bleu.json'							)
           SCREAMING_SNAKE_CASE 		=load_json(snake_case							)
           # print(metrics)
           self.assertGreaterEqual(metrics['bleu']     ,25							)




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())))

