code: 
  
  
  
  
  """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 							lowerCamelCase		( _UpperCAmelCase				):
  
  
  
  
  
  
  
     @classmethod
     def       a_							(							cls ):
         return cls
  
  
  
  
  
  
  
     @slow
     @require_torch_gpu
     def       a_							(							self ):
         UpperCamelCase				:   List[str]          =							self.get_auto_remove_tmp_dir()
         UpperCamelCase				:   int          =							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				:   Tuple          =							get_gpu_count()
         UpperCamelCase				:   str          =							f'\n            -m torch.distributed.launch\n            --nproc_per_node={n_gpu}\n            {self.test_file_dir}/run_distributed_eval.py\n        '.split()
         UpperCamelCase				:   Dict          =							[sys.executable] + distributed_args + args
         execute_subprocess_async(SCREAMING_SNAKE_CASE_    ,      env=self.get_env() )
  
         UpperCamelCase				:   Optional[Any]          =							os.path.join(SCREAMING_SNAKE_CASE_    ,      """test_bleu.json""" )
         UpperCamelCase				:   List[Any]          =							load_json(SCREAMING_SNAKE_CASE_ )
         # print(metrics)
         self.assertGreaterEqual(metrics["""bleu"""]    ,      25 )
  
  
  
  
  
style_context: 
  
  
  
  
  """simple docstring"""
  
  
  
  
  def 					A_			(		snake_case_     :       Tuple						,snake_case_     :       Optional[Any]						,snake_case_     :       Optional[Any]    ):
  
  
  
  
  
  
  
      '''simple docstring'''
      assert b != 0, "This cannot accept modulo that is == 0"
      if n == 0:
          return 1
  
      if n % 2 == 1:
          return (bin_exp_mod(snake_case_						,n - 1						,snake_case_    ) * a) % b
  
      UpperCamelCase				:   List[Any]          =							bin_exp_mod(snake_case_						,n / 2						,snake_case_    )
      return (r * r) % b
  
  
  if __name__ == "__main__":
    try:
      __A :		Any      							=    int(input('''Enter Base : ''').strip())
      __A :		Any      							=    int(input('''Enter Power : ''').strip())
      __A :		List[Any]      							=    int(input('''Enter Modulo : ''').strip())
    except ValueError:
      print('''Invalid literal for integer''')
  
    print(bin_exp_mod(BASE, POWER, MODULO))
  
  
  
  
  