code: 
  
  
  
  """simple docstring"""
  
  
  
  
  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 			UpperCAmelCase_						(       _UpperCamelCase		):
  
  
  
        @classmethod
        def 		snake_case_      (  cls  :			int		):
             return cls
  
  
  
        @slow
        @require_torch_gpu
        def 		snake_case_      (  self  :			Tuple		):
             _UpperCAmelCase    :			Tuple              =					self.get_auto_remove_tmp_dir()
             _UpperCAmelCase    :			List[Any]              =					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
             _UpperCAmelCase    :			Union[str, Any]              =					get_gpu_count()
             _UpperCAmelCase    :			Union[str, Any]              =					f'\n            -m torch.distributed.launch\n            --nproc_per_node={n_gpu}\n            {self.test_file_dir}/run_distributed_eval.py\n        '.split()
             _UpperCAmelCase    :			Union[str, Any]              =					[sys.executable] + distributed_args + args
             execute_subprocess_async(A  ,			env=self.get_env()		)
  
             _UpperCAmelCase    :			Tuple              =					os.path.join(A  ,			"test_bleu.json"		)
             _UpperCAmelCase    :			Tuple              =					load_json(A		)
             # print(metrics)
             self.assertGreaterEqual(metrics["bleu"]  ,			2_5		)
  
style_context: 
  
  
  
  """simple docstring"""
  
  
  
  
  import sys
  
  def 		__snake_case		(   SCREAMING_SNAKE_CASE__			:		int		,						SCREAMING_SNAKE_CASE__			:		list[int]       )						->     int:
  
  
  
  
  
       '''simple docstring'''
  
       if not numbers:
            return 0
       if target == 0 and target in numbers:
            return 0
       if not isinstance(SCREAMING_SNAKE_CASE__		,						(list, tuple)       ) or not all(
           isinstance(SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__       ) for number in numbers       ):
            raise ValueError("numbers must be an iterable of integers"       )
  
       _UpperCAmelCase    :			List[Any]              =					0
       _UpperCAmelCase    :			str              =					sys.maxsize
  
       while right < len(SCREAMING_SNAKE_CASE__       ):
            curr_sum += numbers[right]
            while curr_sum >= target and left <= right:
                 _UpperCAmelCase    :			Any              =					min(SCREAMING_SNAKE_CASE__		,						right - left + 1       )
                 curr_sum -= numbers[left]
                 left += 1
            right += 1
  
       return 0 if min_len == sys.maxsize else min_len
  