import io
import json
import unittest

from parameterized import parameterized

from transformers import FSMTForConditionalGeneration, FSMTTokenizer
from transformers.testing_utils import get_tests_dir, require_torch, slow, torch_device
from utils import calculate_bleu


lowerCAmelCase__     						=			get_tests_dir() + '/test_data/fsmt/fsmt_val_data.json'
with io.open(filename, 'r', encoding='utf-8') as f:
				lowerCAmelCase__     						=			json.load(f)
@require_torch
class     a_			(						unittest.TestCase						):






	'''simple docstring'''






	def 		__snake_case						(      self :  Optional[int]      ,   lowercase__ :  List[Any]):







								'''simple docstring'''



								return FSMTTokenizer.from_pretrained(lowercase__)




	def 		__snake_case						(      self :  int      ,   lowercase__ :  Tuple):







								'''simple docstring'''



								lowerCAmelCase__					     = FSMTForConditionalGeneration.from_pretrained(lowercase__).to(lowercase__)
								if torch_device == "cuda":
															model.half()
								return model




	@parameterized.expand(
	    [
	        ['en-ru', 26.0],
	        ['ru-en', 22.0],
	        ['en-de', 22.0],
	        ['de-en', 29.0],
	    ])
	@slow
	def 		__snake_case						(      self :  str      ,   lowercase__ :  List[str]      ,   lowercase__ :  Union[str, Any]):







								'''simple docstring'''



								lowerCAmelCase__					     = F"""facebook/wmt19-{pair}"""
								lowerCAmelCase__					     = self.get_tokenizer(lowercase__)
								lowerCAmelCase__					     = self.get_model(lowercase__)

								lowerCAmelCase__					     = bleu_data[pair]['src']
								lowerCAmelCase__					     = bleu_data[pair]['tgt']

								lowerCAmelCase__					     = tokenizer(lowercase__      ,   return_tensors='pt'      ,   truncation=lowercase__      ,   padding='longest').to(lowercase__)
								lowerCAmelCase__					     = model.generate(
								    input_ids=batch.input_ids      ,   num_beams=8      ,   )
								lowerCAmelCase__					     = tokenizer.batch_decode(
								    lowercase__      ,   skip_special_tokens=lowercase__      ,   clean_up_tokenization_spaces=lowercase__)
								lowerCAmelCase__					     = calculate_bleu(lowercase__      ,   lowercase__)
								print(lowercase__)
								self.assertGreaterEqual(scores['bleu']      ,   lowercase__)

import copy
from dataclasses import dataclass
from pathlib import Path
from typing import Dict, Optional, Union
@dataclass
class     a_			:






 '''simple docstring'''






 UpperCAmelCase_     			= None
 UpperCAmelCase_     			= False
 UpperCAmelCase_     			= False
 UpperCAmelCase_     			= False
 UpperCAmelCase_     			= None
 UpperCAmelCase_     			= None
 UpperCAmelCase_     			= False
 UpperCAmelCase_     			= False
 UpperCAmelCase_     			= False
 UpperCAmelCase_     			= True
 UpperCAmelCase_     			= None
 UpperCAmelCase_     			= 1
 UpperCAmelCase_     			= None
 UpperCAmelCase_     			= False
 UpperCAmelCase_     			= None
 UpperCAmelCase_     			= None




 def 		__snake_case						(      self :  Dict):







        '''simple docstring'''



        return self.__class__(**{k: copy.deepcopy(lowercase__) for k, v in self.__dict__.items()})
