




from typing import Any


class 				__SCREAMING_SNAKE_CASE							:

					def __init__(				self					):







						'''simple docstring'''




						lowerCamelCase_							:		Optional[int]							   =							[]
						lowerCamelCase_							:		Dict							   =							0

					def __str__(				self					):







						'''simple docstring'''




						lowerCamelCase_							:		List[str]							   =							'<' + str(self.stack					)[1:-1] + '>'
						return printed

					def 	lowercase_							(				self ,       __lowercase					):







						'''simple docstring'''




						self.stack.append(__lowercase					)
						lowerCamelCase_							:		Any							   =							self.length + 1

					def 	lowercase_							(				self					):







						'''simple docstring'''




						self.rotate(1					)
						lowerCamelCase_							:		Any							   =							self.stack[self.length - 1]
						lowerCamelCase_							:		int							   =							self.stack[:-1]
						self.rotate(self.length - 1					)
						lowerCamelCase_							:		str							   =							self.length - 1
						return dequeued

					def 	lowercase_							(				self ,       __lowercase					):







						'''simple docstring'''




						for _ in range(__lowercase					):
							lowerCamelCase_							:		str							   =							self.stack[0]
							lowerCamelCase_							:		Any							   =							self.stack[1:]
							self.put(__lowercase					)
							lowerCamelCase_							:		str							   =							self.length - 1

					def 	lowercase_							(				self					):







						'''simple docstring'''




						lowerCamelCase_							:		List[str]							   =							self.get()
						self.put(__lowercase					)
						self.rotate(self.length - 1					)
						return front

					def 	lowercase_							(				self					):







						'''simple docstring'''




						return self.length






# 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					)
