


'''simple docstring'''






# 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  (  _SCREAMING_SNAKE_CASE							):
 @classmethod
 def 				__UpperCAmelCase		(			cls    )       ->				List[Any]:
      return cls




 @slow
 @require_torch_gpu
 def 				__UpperCAmelCase		(			self    )       ->				Union[str, Any]:
      _a         =				self.get_auto_remove_tmp_dir()
      _a         =				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
      _a         =				get_gpu_count()
      _a         =				f'\n            -m torch.distributed.launch\n            --nproc_per_node={n_gpu}\n            {self.test_file_dir}/run_distributed_eval.py\n        '.split()
      _a         =				[sys.executable] + distributed_args + args
      execute_subprocess_async(__magic_name__   ,					env=self.get_env()    )

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





'''simple docstring'''






import math
from decimal import Decimal, getcontext






def 						_A					(lowerCAmelCase__	:int = 4_00_00_00		) ->	int:




     '''simple docstring'''



     try:
          _a         =				int(lowerCAmelCase__		)
     except (TypeError, ValueError):
          raise TypeError('Parameter n must be int or castable to int.'		)
     if n <= 0:
          raise ValueError('Parameter n must be greater than or equal to one.'		)
     _a         =				1_00
     _a         =				(Decimal(5		) ** Decimal(0.5		) + 1) / Decimal(2		)

     _a         =				(math.floor(math.log(n * (phi + 2)					,    lowerCAmelCase__		) - 1		) // 3) * 3 + 2
     _a         =				Decimal(round(phi ** Decimal(index + 1		)		)		) / (phi + 2)
     _a         =				num // 2
     return int(lowerCAmelCase__		)


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

