import unittest
from dataclasses import dataclass
from typing import Optional

from transformers.utils import ModelOutput




@dataclass
class        lowercase_  (  UpperCamelCase_						):



	"""simple docstring"""





	UpperCAmelCase_  : float
	UpperCAmelCase_  : Optional[float]       =    None
	UpperCAmelCase_  : Optional[float]       =    None




class        lowercase_  (  unittest.TestCase						):



	"""simple docstring"""





	def       SCREAMING_SNAKE_CASE_    (							self    )						->Optional[int]:
								lowerCAmelCase     		=		ModelOutputTest(a=30    )
								self.assertEqual(x.a		,      30    )
								self.assertIsNone(x.b    )
								self.assertIsNone(x.c    )
								with self.assertRaises(__SCREAMING_SNAKE_CASE    ):
															lowerCAmelCase     		=		x.d


	def       SCREAMING_SNAKE_CASE_    (							self    )						->List[Any]:
								lowerCAmelCase     		=		ModelOutputTest(a=30		,      b=10    )
								self.assertEqual(x[0]		,      30    )
								self.assertEqual(x[1]		,      10    )
								self.assertEqual(x[:2]		,      (30, 10)    )
								self.assertEqual(x[:]		,      (30, 10)    )

								lowerCAmelCase     		=		ModelOutputTest(a=30		,      c=10    )
								self.assertEqual(x[0]		,      30    )
								self.assertEqual(x[1]		,      10    )
								self.assertEqual(x[:2]		,      (30, 10)    )
								self.assertEqual(x[:]		,      (30, 10)    )


	def       SCREAMING_SNAKE_CASE_    (							self    )						->Union[str, Any]:
								lowerCAmelCase     		=		ModelOutputTest(a=30		,      b=10    )
								self.assertEqual(x['''a''']		,      30    )
								self.assertEqual(x['''b''']		,      10    )
								with self.assertRaises(__SCREAMING_SNAKE_CASE    ):
															lowerCAmelCase     		=		x['''c''']

								lowerCAmelCase     		=		ModelOutputTest(a=30		,      c=10    )
								self.assertEqual(x['''a''']		,      30    )
								self.assertEqual(x['''c''']		,      10    )
								with self.assertRaises(__SCREAMING_SNAKE_CASE    ):
															lowerCAmelCase     		=		x['''b''']


	def       SCREAMING_SNAKE_CASE_    (							self    )						->Tuple:
								lowerCAmelCase     		=		ModelOutputTest(a=30    )
								self.assertEqual(list(x.keys()    )		,      ['''a''']    )
								self.assertEqual(list(x.values()    )		,      [30]    )
								self.assertEqual(list(x.items()    )		,      [('''a''', 30)]    )
								self.assertEqual(list(__SCREAMING_SNAKE_CASE    )		,      ['''a''']    )

								lowerCAmelCase     		=		ModelOutputTest(a=30		,      b=10    )
								self.assertEqual(list(x.keys()    )		,      ['''a''', '''b''']    )
								self.assertEqual(list(x.values()    )		,      [30, 10]    )
								self.assertEqual(list(x.items()    )		,      [('''a''', 30), ('''b''', 10)]    )
								self.assertEqual(list(__SCREAMING_SNAKE_CASE    )		,      ['''a''', '''b''']    )

								lowerCAmelCase     		=		ModelOutputTest(a=30		,      c=10    )
								self.assertEqual(list(x.keys()    )		,      ['''a''', '''c''']    )
								self.assertEqual(list(x.values()    )		,      [30, 10]    )
								self.assertEqual(list(x.items()    )		,      [('''a''', 30), ('''c''', 10)]    )
								self.assertEqual(list(__SCREAMING_SNAKE_CASE    )		,      ['''a''', '''c''']    )

								with self.assertRaises(__SCREAMING_SNAKE_CASE    ):
															lowerCAmelCase     		=		x.update({'''d''': 20}    )
								with self.assertRaises(__SCREAMING_SNAKE_CASE    ):
															del x["a"]
								with self.assertRaises(__SCREAMING_SNAKE_CASE    ):
															lowerCAmelCase     		=		x.pop('''a'''    )
								with self.assertRaises(__SCREAMING_SNAKE_CASE    ):
															lowerCAmelCase     		=		x.setdefault('''d'''		,      32    )


	def       SCREAMING_SNAKE_CASE_    (							self    )						->List[Any]:
								lowerCAmelCase     		=		ModelOutputTest(a=30    )
								lowerCAmelCase     		=		10
								self.assertEqual(x.a		,      10    )
								self.assertEqual(x['''a''']		,      10    )


	def       SCREAMING_SNAKE_CASE_    (							self    )						->Optional[int]:
								lowerCAmelCase     		=		ModelOutputTest(a=30    )
								lowerCAmelCase     		=		10
								self.assertEqual(x.a		,      10    )
								self.assertEqual(x['''a''']		,      10    )


	def       SCREAMING_SNAKE_CASE_    (							self    )						->Any:
								lowerCAmelCase     		=		ModelOutputTest({'''a''': 30, '''b''': 10}    )
								self.assertEqual(list(x.keys()    )		,      ['''a''', '''b''']    )
								self.assertEqual(x.a		,      30    )
								self.assertEqual(x.b		,      10    )




	def       SCREAMING_SNAKE_CASE_    (							self    )						->Dict:
								lowerCAmelCase     		=		ModelOutputTest([('''a''', 30), ('''b''', 10)]    )
								self.assertEqual(list(x.keys()    )		,      ['''a''', '''b''']    )
								self.assertEqual(x.a		,      30    )
								self.assertEqual(x.b		,      10    )

								with self.assertRaises(__SCREAMING_SNAKE_CASE    ):
															lowerCAmelCase     		=		ModelOutputTest([('''a''', 30), (10, 10)]    )

								lowerCAmelCase     		=		ModelOutputTest(a=(30, 30)    )
								self.assertEqual(list(x.keys()    )		,      ['''a''']    )
								self.assertEqual(x.a		,      (30, 30)    )




# 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        lowercase_  (  UpperCamelCase_						):



	"""simple docstring"""





	@classmethod
	def       SCREAMING_SNAKE_CASE_    (							cls    )						->Union[str, Any]:
								return cls




	@slow
	@require_torch_gpu
	def       SCREAMING_SNAKE_CASE_    (							self    )						->int:
								lowerCAmelCase     		=		self.get_auto_remove_tmp_dir()
								lowerCAmelCase     		=		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     		=		get_gpu_count()
								lowerCAmelCase     		=		F"\n            -m torch.distributed.launch\n            --nproc_per_node={n_gpu}\n            {self.test_file_dir}/run_distributed_eval.py\n        ".split()
								lowerCAmelCase     		=		[sys.executable] + distributed_args + args
								execute_subprocess_async(__SCREAMING_SNAKE_CASE		,      env=self.get_env()    )

								lowerCAmelCase     		=		os.path.join(__SCREAMING_SNAKE_CASE		,      '''test_bleu.json'''    )
								lowerCAmelCase     		=		load_json(__SCREAMING_SNAKE_CASE    )
								# print(metrics)
								self.assertGreaterEqual(metrics['''bleu''']		,      25    )



