code: 
  
  
  
  
  
  
  from typing import Any
  
  
  
  
  
  
  
  class     UpperCAmelCase_		:
  
  
  
  						"""simple docstring"""
  						def __init__(       self				)       ->   int:
  										UpperCamelCase :List[Any]										=     []
  										UpperCamelCase :Dict										=     0
  						def __str__(       self				)       ->   str:
  										UpperCamelCase :str										=     '''<''' + str(self.stack				)[1:-1] + '''>'''
  										return printed
  						def 					UpperCAmelCase		(       self					,       SCREAMING_SNAKE_CASE_				)       ->   None:
  										self.stack.append(SCREAMING_SNAKE_CASE_				)
  										UpperCamelCase :str										=     self.length + 1
  						def 					UpperCAmelCase		(       self				)       ->   Any:
  										self.rotate(1				)
  										UpperCamelCase :Tuple										=     self.stack[self.length - 1]
  										UpperCamelCase :str										=     self.stack[:-1]
  										self.rotate(self.length - 1				)
  										UpperCamelCase :Union[str, Any]										=     self.length - 1
  										return dequeued
  						def 					UpperCAmelCase		(       self					,       SCREAMING_SNAKE_CASE_				)       ->   None:
  										for _ in range(SCREAMING_SNAKE_CASE_				):
  														UpperCamelCase :Optional[int]										=     self.stack[0]
  														UpperCamelCase :Union[str, Any]										=     self.stack[1:]
  														self.put(SCREAMING_SNAKE_CASE_				)
  														UpperCamelCase :Optional[Any]										=     self.length - 1
  						def 					UpperCAmelCase		(       self				)       ->   Any:
  										UpperCamelCase :int										=     self.get()
  										self.put(SCREAMING_SNAKE_CASE_				)
  										self.rotate(self.length - 1				)
  										return front
  
  
  
  
  						def 					UpperCAmelCase		(       self				)       ->   int:
  										return self.length
  
  
  
  
  
  
style_context: 
  
  
  
  
  
  
  # 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     UpperCAmelCase_		(      lowercase				):
  
  
  
        """simple docstring"""
        @classmethod
        def 					UpperCAmelCase		(       cls				)       ->   List[Any]:
            return cls
  
  
  
  
        @slow
        @require_torch_gpu
        def 					UpperCAmelCase		(       self				)       ->   int:
            UpperCamelCase :int										=     self.get_auto_remove_tmp_dir()
            UpperCamelCase :List[str]										=     F'''
              --model_name Helsinki-NLP/opus-mt-en-ro
              --save_dir {output_dir}
              --data_dir {self.test_file_dir_str}/test_data/wmt_en_ro
              --num_beams 2
              --task translation
          '''.split()
  
            # we want this test to run even if there is only one GPU, but if there are more we use them all
            UpperCamelCase :List[str]										=     get_gpu_count()
            UpperCamelCase :Optional[Any]										=     F'''
              -m torch.distributed.launch
              --nproc_per_node={n_gpu}
              {self.test_file_dir}/run_distributed_eval.py
          '''.split()
            UpperCamelCase :List[Any]										=     [sys.executable] + distributed_args + args
            execute_subprocess_async(SCREAMING_SNAKE_CASE_					,       env=self.get_env()				)
  
            UpperCamelCase :Tuple										=     os.path.join(SCREAMING_SNAKE_CASE_					,       '''test_bleu.json'''				)
            UpperCamelCase :str										=     load_json(SCREAMING_SNAKE_CASE_				)
            # print(metrics)
            self.assertGreaterEqual(metrics['''bleu''']					,       25				)
  
  
  
  
  
  