

def 	snake_case_      (__A     :						list[int]     )			->	list[int]:
   if len(__A     ) > 1:
      __lowerCAmelCase  :			str					    =						len(__A     ) // 2  # Finds the middle of the array
      __lowerCAmelCase  :			Optional[Any]					    =						arr[
          :middle_length
      ]  # Creates an array of the elements in the first half.
      __lowerCAmelCase  :			List[Any]					    =						arr[
          middle_length:
      ]  # Creates an array of the elements in the second half.
      __lowerCAmelCase  :			Optional[Any]					    =						len(__A     )
      __lowerCAmelCase  :			Optional[Any]					    =						len(__A     )
      merge(__A     )  # Starts sorting the left.
      merge(__A     )  # Starts sorting the right
      __lowerCAmelCase  :			Dict					    =						0  # Left Counter
      __lowerCAmelCase  :			Union[str, Any]					    =						0  # Right Counter
      __lowerCAmelCase  :			List[str]					    =						0  # Position Counter
      while (
          left_index < left_size and right_index < right_size
      ):  # Runs until the lowers size of the left and right are sorted.
         if left_array[left_index] < right_array[right_index]:
            __lowerCAmelCase  :			Union[str, Any]					    =						left_array[left_index]
            left_index += 1
         else:
            __lowerCAmelCase  :			List[Any]					    =						right_array[right_index]
            right_index += 1
         index += 1
      while (
          left_index < left_size
      ):  # Adds the left over elements in the left half of the array
         __lowerCAmelCase  :			Dict					    =						left_array[left_index]
         left_index += 1
         index += 1
      while (
          right_index < right_size
      ):  # Adds the left over elements in the right half of the array
         __lowerCAmelCase  :			List[str]					    =						right_array[right_index]
         right_index += 1
         index += 1
   return arr


if __name__ == "__main__":
   import doctest

   doctest.testmod()








# 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 				__SCREAMING_SNAKE_CASE							(		lowerCamelCase  ):

					@classmethod
					def 	lowercase_							(				cls					):







						'''simple docstring'''




						return cls





					@slow
					@require_torch_gpu
					def 	lowercase_							(				self					):







						'''simple docstring'''




						lowerCamelCase_							:		Dict							   =							self.get_auto_remove_tmp_dir()
						lowerCamelCase_							:		Tuple							   =							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
						lowerCamelCase_							:		List[Any]							   =							get_gpu_count()
						lowerCamelCase_							:		Union[str, Any]							   =							f"\n            -m torch.distributed.launch\n            --nproc_per_node={n_gpu}\n            {self.test_file_dir}/run_distributed_eval.py\n        ".split()
						lowerCamelCase_							:		int							   =							[sys.executable] + distributed_args + args
						execute_subprocess_async(__lowercase ,       env=self.get_env()					)

						lowerCamelCase_							:		Any							   =							os.path.join(__lowercase ,       'test_bleu.json'					)
						lowerCamelCase_							:		List[Any]							   =							load_json(__lowercase					)
						# print(metrics)
						self.assertGreaterEqual(metrics['bleu'] ,       25					)
