


# 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 					snake_case__  ( __A       ):





	@classmethod
	def     A				(  cls							)		->			str:
								"""simple docstring"""






								return cls





	@slow
	@require_torch_gpu
	def     A				(  self							)		->			Dict:
								"""simple docstring"""






								a_       :   Any			=	self.get_auto_remove_tmp_dir()
								a_       :   Tuple			=	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
								a_       :   int			=	get_gpu_count()
								a_       :   Optional[Any]			=	f"""
            -m torch.distributed.launch
            --nproc_per_node={n_gpu}
            {self.test_file_dir}/run_distributed_eval.py
        """.split()
								a_       :   int			=	[sys.executable] + distributed_args + args
								execute_subprocess_async(UpperCamelCase_				,    env=self.get_env()							)

								a_       :   Union[str, Any]			=	os.path.join(UpperCamelCase_				,    """test_bleu.json"""							)
								a_       :   Any			=	load_json(UpperCamelCase_							)
								# print(metrics)
								self.assertGreaterEqual(metrics["""bleu"""]				,    25							)






from __future__ import annotations





def 						_lowerCamelCase		(							SCREAMING_SNAKE_CASE_				: list      ):






							"""simple docstring"""



							a_       :   Tuple			=	sorted(SCREAMING_SNAKE_CASE_      )
							a_       :   Tuple			=	len(SCREAMING_SNAKE_CASE_      )
							a_       :   Tuple			=	length >> 1
							return (
							    (sorted_list[mid_index] + sorted_list[mid_index - 1]) / 2
							    if length % 2 == 0
							    else sorted_list[mid_index]
							)





def 						_lowerCamelCase		(							):






							"""simple docstring"""



							import doctest

							doctest.testmod()


if __name__ == "__main__":
	main()


