
# 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_			(						__UpperCamelCase   ):




							'''simple docstring'''

							@classmethod
							def        lowerCAmelCase__ (				cls) ->	Optional[Any]:
										return cls






							@slow
							@require_torch_gpu
							def        lowerCAmelCase__ (				self) ->	Dict:
										UpperCamelCase__    :		Optional[int]     =				self.get_auto_remove_tmp_dir()
										UpperCamelCase__    :		List[Any]     =				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__    :		Dict     =				get_gpu_count()
										UpperCamelCase__    :		Tuple     =				F"""
            -m torch.distributed.launch
            --nproc_per_node={n_gpu}
            {self.test_file_dir}/run_distributed_eval.py
        """.split()
										UpperCamelCase__    :		Optional[int]     =				[sys.executable] + distributed_args + args
										execute_subprocess_async(UpperCamelCase     ,						env=self.get_env())

										UpperCamelCase__    :		List[str]     =				os.path.join(UpperCamelCase     ,						'test_bleu.json')
										UpperCamelCase__    :		Optional[int]     =				load_json(UpperCamelCase)
										# print(metrics)
										self.assertGreaterEqual(metrics['bleu']     ,						25)





from __future__ import annotations

import re



def       _lowercase					(      __SCREAMING_SNAKE_CASE )	->     list[str]:

			def alphanum_key(__SCREAMING_SNAKE_CASE ):
						return [int(__SCREAMING_SNAKE_CASE ) if s.isdigit() else s.lower() for s in re.split('([0-9]+)'				,    __SCREAMING_SNAKE_CASE )]

			return sorted(__SCREAMING_SNAKE_CASE				,    key=__SCREAMING_SNAKE_CASE )


if __name__ == "__main__":
							import doctest

							doctest.testmod()



