
'''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							):



  '''simple docstring'''






  @classmethod
  def 		_lowerCamelCase						(cls	:			List[str]     ) ->							Optional[Any]:
        return cls


  @slow
  @require_torch_gpu
  def 		_lowerCamelCase						(self	:			Any     ) ->							Tuple:
        snake_case_    							=				self.get_auto_remove_tmp_dir()
        snake_case_    							=				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
        snake_case_    							=				get_gpu_count()
        snake_case_    							=				f'''
            -m torch.distributed.launch
            --nproc_per_node={n_gpu}
            {self.test_file_dir}/run_distributed_eval.py
        '''.split()
        snake_case_    							=				[sys.executable] + distributed_args + args
        execute_subprocess_async(lowerCAmelCase_						,			env=self.get_env()     )

        snake_case_    							=				os.path.join(lowerCAmelCase_						,			"test_bleu.json"     )
        snake_case_    							=				load_json(lowerCAmelCase_     )
        # print(metrics)
        self.assertGreaterEqual(metrics["bleu"]						,			25     )



'''simple docstring'''





from collections import Counter
from functools import total_ordering

from data_structures.heap.heap import Heap



@total_ordering
class 			lowerCAmelCase__ :



  '''simple docstring'''






  def __init__(self	:			Tuple						,			lowerCAmelCase_	:			str						,			lowerCAmelCase_	:			int     ) ->							None:
        snake_case_    							=				word
        snake_case_    							=				count

  def __eq__(self	:			List[Any]						,			lowerCAmelCase_	:			object     ) ->							bool:
        if not isinstance(lowerCAmelCase_						,			lowerCAmelCase_     ):
              return NotImplemented
        return self.count == other.count


  def __lt__(self	:			Tuple						,			lowerCAmelCase_	:			object     ) ->							bool:
        if not isinstance(lowerCAmelCase_						,			lowerCAmelCase_     ):
              return NotImplemented
        return self.count < other.count

def 	snake_case_							(				_a  :				list[str]			,       _a  :				int      ):
      snake_case_    							=				Heap()
      snake_case_    							=				Counter(_a      )
      heap.build_max_heap(
          [WordCount(_a			,       _a      ) for word, count in count_by_word.items()]      )
      return [heap.extract_max().word for _ in range(min(_a			,       len(_a      )      )      )]


if __name__ == "__main__":
     import doctest

     doctest.testmod()

