

'''simple docstring'''





import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartaaTokenizer, MBartaaTokenizerFast, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
    slow,
)

from ...test_tokenization_common import TokenizerTesterMixin


UpperCamelCase_    						=       get_tests_dir("""fixtures/test_sentencepiece.model""")

if is_torch_available():
							from transformers.models.mbart.modeling_mbart import shift_tokens_right

UpperCamelCase_    						=       250004
UpperCamelCase_    						=       250020





@require_sentencepiece
@require_tokenizers
class 		__SCREAMING_SNAKE_CASE							(			lowercase__						,							unittest.TestCase      ):
				lowerCamelCase_		       =    MBartaaTokenizer
				lowerCamelCase_		       =    MBartaaTokenizerFast
				lowerCamelCase_		       =    True
				lowerCamelCase_		       =    True







				def  lowerCamelCase_	(       self     :		Tuple   ):
										'''simple docstring'''
										super().setUp()

										# We have a SentencePiece fixture for testing
										lowercase :							List[Any]    		=MBartaaTokenizer(UpperCAmelCase__		,					src_lang='''en_XX'''		,					tgt_lang='''ro_RO'''		,					keep_accents=UpperCAmelCase__   )
										tokenizer.save_pretrained(self.tmpdirname   )







				def  lowerCamelCase_	(       self     :		int   ):
										'''simple docstring'''
										lowercase :							List[Any]    		='''<s>'''
										lowercase :							Dict    		=0

										self.assertEqual(self.get_tokenizer()._convert_token_to_id(UpperCAmelCase__   )		,					UpperCAmelCase__   )
										self.assertEqual(self.get_tokenizer()._convert_id_to_token(UpperCAmelCase__   )		,					UpperCAmelCase__   )







				def  lowerCamelCase_	(       self     :		List[str]   ):
										'''simple docstring'''
										lowercase :							Tuple    		=list(self.get_tokenizer().get_vocab().keys()   )

										self.assertEqual(vocab_keys[0]		,					'''<s>'''   )
										self.assertEqual(vocab_keys[1]		,					'''<pad>'''   )
										self.assertEqual(vocab_keys[-1]		,					'''<mask>'''   )
										self.assertEqual(len(UpperCAmelCase__   )		,					1054   )







				def  lowerCamelCase_	(       self     :		List[str]   ):
										'''simple docstring'''
										self.assertEqual(self.get_tokenizer().vocab_size		,					1054   )







				def  lowerCamelCase_	(       self     :		Union[str, Any]   ):
										'''simple docstring'''
										lowercase :							Optional[int]    		=MBartaaTokenizer(UpperCAmelCase__		,					src_lang='''en_XX'''		,					tgt_lang='''ro_RO'''		,					keep_accents=UpperCAmelCase__   )

										lowercase :							List[Any]    		=tokenizer.tokenize('''This is a test'''   )
										self.assertListEqual(UpperCAmelCase__		,					['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']   )

										self.assertListEqual(
										    tokenizer.convert_tokens_to_ids(UpperCAmelCase__   )		,					[value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]		,					)

										lowercase :							Dict    		=tokenizer.tokenize('''I was born in 92000, and this is falsé.'''   )
										self.assertListEqual(
										    UpperCAmelCase__		,					[SPIECE_UNDERLINE + '''I''', SPIECE_UNDERLINE + '''was''', SPIECE_UNDERLINE + '''b''', '''or''', '''n''', SPIECE_UNDERLINE + '''in''', SPIECE_UNDERLINE + '''''', '''9''', '''2''', '''0''', '''0''', '''0''', ''',''', SPIECE_UNDERLINE + '''and''', SPIECE_UNDERLINE + '''this''', SPIECE_UNDERLINE + '''is''', SPIECE_UNDERLINE + '''f''', '''al''', '''s''', '''é''', '''.''']		,					)
										lowercase :							Tuple    		=tokenizer.convert_tokens_to_ids(UpperCAmelCase__   )
										self.assertListEqual(
										    UpperCAmelCase__		,					[
										        value + tokenizer.fairseq_offset
										        for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
										    ]		,					)

										lowercase :							Optional[Any]    		=tokenizer.convert_ids_to_tokens(UpperCAmelCase__   )
										self.assertListEqual(
										    UpperCAmelCase__		,					[SPIECE_UNDERLINE + '''I''', SPIECE_UNDERLINE + '''was''', SPIECE_UNDERLINE + '''b''', '''or''', '''n''', SPIECE_UNDERLINE + '''in''', SPIECE_UNDERLINE + '''''', '''<unk>''', '''2''', '''0''', '''0''', '''0''', ''',''', SPIECE_UNDERLINE + '''and''', SPIECE_UNDERLINE + '''this''', SPIECE_UNDERLINE + '''is''', SPIECE_UNDERLINE + '''f''', '''al''', '''s''', '''<unk>''', '''.''']		,					)







				@slow
				def  lowerCamelCase_	(       self     :		Any   ):
										'''simple docstring'''
										# fmt: off
										lowercase :							Optional[int]    		={'''input_ids''': [[250004, 11062, 82772, 7, 15, 82772, 538, 51529, 237, 17198, 1290, 206, 9, 215175, 1314, 136, 17198, 1290, 206, 9, 56359, 42, 122009, 9, 16466, 16, 87344, 4537, 9, 4717, 78381, 6, 159958, 7, 15, 24480, 618, 4, 527, 22693, 5428, 4, 2777, 24480, 9874, 4, 43523, 594, 4, 803, 18392, 33189, 18, 4, 43523, 24447, 12399, 100, 24955, 83658, 9626, 144057, 15, 839, 22335, 16, 136, 24955, 83658, 83479, 15, 39102, 724, 16, 678, 645, 2789, 1328, 4589, 42, 122009, 115774, 23, 805, 1328, 46876, 7, 136, 53894, 1940, 42227, 41159, 17721, 823, 425, 4, 27512, 98722, 206, 136, 5531, 4970, 919, 17336, 5, 2], [250004, 20080, 618, 83, 82775, 47, 479, 9, 1517, 73, 53894, 333, 80581, 110117, 18811, 5256, 1295, 51, 152526, 297, 7986, 390, 124416, 538, 35431, 214, 98, 15044, 25737, 136, 7108, 43701, 23, 756, 135355, 7, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [250004, 581, 63773, 119455, 6, 147797, 88203, 7, 645, 70, 21, 3285, 10269, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], '''attention_mask''': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
										# fmt: on

										self.tokenizer_integration_test_util(
										    expected_encoding=UpperCAmelCase__		,					model_name='''facebook/mbart-large-50'''		,					revision='''d3913889c59cd5c9e456b269c376325eabad57e2'''		,					)







				def  lowerCamelCase_	(       self     :		str   ):
										'''simple docstring'''
										if not self.test_slow_tokenizer:
																# as we don't have a slow version, we can't compare the outputs between slow and fast versions
																return

										lowercase :							List[str]    		=(self.rust_tokenizer_class, '''hf-internal-testing/tiny-random-mbart50''', {})
										for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''   ):
																						lowercase :							Tuple    		=self.rust_tokenizer_class.from_pretrained(UpperCAmelCase__		,					**UpperCAmelCase__   )
																						lowercase :							Union[str, Any]    		=self.tokenizer_class.from_pretrained(UpperCAmelCase__		,					**UpperCAmelCase__   )

																						lowercase :							Dict    		=tempfile.mkdtemp()

																						lowercase :							Dict    		=tokenizer_r.save_pretrained(UpperCAmelCase__   )
																						lowercase :							Optional[int]    		=tokenizer_p.save_pretrained(UpperCAmelCase__   )

																						# Checks it save with the same files + the tokenizer.json file for the fast one
																						self.assertTrue(any('''tokenizer.json''' in f for f in tokenizer_r_files   )   )
																						lowercase :							Dict    		=tuple(f for f in tokenizer_r_files if '''tokenizer.json''' not in f   )
																						self.assertSequenceEqual(UpperCAmelCase__		,					UpperCAmelCase__   )

																						# Checks everything loads correctly in the same way
																						lowercase :							Dict    		=tokenizer_r.from_pretrained(UpperCAmelCase__   )
																						lowercase :							Tuple    		=tokenizer_p.from_pretrained(UpperCAmelCase__   )

																						# Check special tokens are set accordingly on Rust and Python
																						for key in tokenizer_pp.special_tokens_map:
																												self.assertTrue(hasattr(UpperCAmelCase__		,					UpperCAmelCase__   )   )
																												# self.assertEqual(getattr(tokenizer_rp, key), getattr(tokenizer_pp, key))
																												# self.assertEqual(getattr(tokenizer_rp, key + "_id"), getattr(tokenizer_pp, key + "_id"))

																						shutil.rmtree(UpperCAmelCase__   )

																						# Save tokenizer rust, legacy_format=True
																						lowercase :							List[str]    		=tempfile.mkdtemp()

																						lowercase :							Optional[int]    		=tokenizer_r.save_pretrained(UpperCAmelCase__		,					legacy_format=UpperCAmelCase__   )
																						lowercase :							Dict    		=tokenizer_p.save_pretrained(UpperCAmelCase__   )

																						# Checks it save with the same files
																						self.assertSequenceEqual(UpperCAmelCase__		,					UpperCAmelCase__   )

																						# Checks everything loads correctly in the same way
																						lowercase :							Optional[int]    		=tokenizer_r.from_pretrained(UpperCAmelCase__   )
																						lowercase :							Optional[int]    		=tokenizer_p.from_pretrained(UpperCAmelCase__   )

																						# Check special tokens are set accordingly on Rust and Python
																						for key in tokenizer_pp.special_tokens_map:
																												self.assertTrue(hasattr(UpperCAmelCase__		,					UpperCAmelCase__   )   )

																						shutil.rmtree(UpperCAmelCase__   )

																						# Save tokenizer rust, legacy_format=False
																						lowercase :							Optional[Any]    		=tempfile.mkdtemp()

																						lowercase :							Any    		=tokenizer_r.save_pretrained(UpperCAmelCase__		,					legacy_format=UpperCAmelCase__   )
																						lowercase :							Any    		=tokenizer_p.save_pretrained(UpperCAmelCase__   )

																						# Checks it saved the tokenizer.json file
																						self.assertTrue(any('''tokenizer.json''' in f for f in tokenizer_r_files   )   )

																						# Checks everything loads correctly in the same way
																						lowercase :							Dict    		=tokenizer_r.from_pretrained(UpperCAmelCase__   )
																						lowercase :							Any    		=tokenizer_p.from_pretrained(UpperCAmelCase__   )

																						# Check special tokens are set accordingly on Rust and Python
																						for key in tokenizer_pp.special_tokens_map:
																												self.assertTrue(hasattr(UpperCAmelCase__		,					UpperCAmelCase__   )   )

																						shutil.rmtree(UpperCAmelCase__   )





@require_torch
@require_sentencepiece
@require_tokenizers
class 		__SCREAMING_SNAKE_CASE							(			unittest.TestCase      ):
				lowerCamelCase_		       =    'facebook/mbart-large-50-one-to-many-mmt'
				lowerCamelCase_		       =    [
				    ' UN Chief Says There Is No Military Solution in Syria',
				    ' Secretary-General Ban Ki-moon says his response to Russia\'s stepped up military support for Syria is that "there is no military solution" to the nearly five-year conflict and more weapons will only worsen the violence and misery for millions of people.',
				]
				lowerCamelCase_		       =    [
				    'Şeful ONU declară că nu există o soluţie militară în Siria',
				    'Secretarul General Ban Ki-moon declară că răspunsul său la intensificarea sprijinului militar al Rusiei'
				    ' pentru Siria este că "nu există o soluţie militară" la conflictul de aproape cinci ani şi că noi arme nu vor'
				    ' face decât să înrăutăţească violenţele şi mizeria pentru milioane de oameni.',
				]
				lowerCamelCase_		       =    [EN_CODE, 82_74, 12_78_73, 2_59_16, 7, 86_22, 20_71, 4_38, 6_74_85, 53, 18_78_95, 23, 5_17_12, 2]







				@classmethod
				def  lowerCamelCase_	(       cls     :		Any   ):
										'''simple docstring'''
										lowercase :							MBartaaTokenizer    		=MBartaaTokenizer.from_pretrained(
										    cls.checkpoint_name		,					src_lang='''en_XX'''		,					tgt_lang='''ro_RO'''   )
										lowercase :							Tuple    		=1
										return cls







				def  lowerCamelCase_	(       self     :		Optional[int]   ):
										'''simple docstring'''
										self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''ar_AR''']		,					250001   )
										self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''en_EN''']		,					250004   )
										self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''ro_RO''']		,					250020   )
										self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''mr_IN''']		,					250038   )







				def  lowerCamelCase_	(       self     :		List[str]   ):
										'''simple docstring'''
										lowercase :							Tuple    		=self.tokenizer.batch_encode_plus(self.src_text   ).input_ids[0]
										self.assertListEqual(self.expected_src_tokens		,					UpperCAmelCase__   )







				def  lowerCamelCase_	(       self     :		Optional[Any]   ):
										'''simple docstring'''
										self.assertIn(UpperCAmelCase__		,					self.tokenizer.all_special_ids   )
										lowercase :							List[Any]    		=[RO_CODE, 884, 9019, 96, 9, 916, 86792, 36, 18743, 15596, 5, 2]
										lowercase :							Union[str, Any]    		=self.tokenizer.decode(UpperCAmelCase__		,					skip_special_tokens=UpperCAmelCase__   )
										lowercase :							int    		=self.tokenizer.decode(generated_ids[1:]		,					skip_special_tokens=UpperCAmelCase__   )
										self.assertEqual(UpperCAmelCase__		,					UpperCAmelCase__   )
										self.assertNotIn(self.tokenizer.eos_token		,					UpperCAmelCase__   )







				def  lowerCamelCase_	(       self     :		Union[str, Any]   ):
										'''simple docstring'''
										lowercase :							str    		=['''this is gunna be a long sentence ''' * 20]
										assert isinstance(src_text[0]		,					UpperCAmelCase__   )
										lowercase :							str    		=10
										lowercase :							Tuple    		=self.tokenizer(UpperCAmelCase__		,					max_length=UpperCAmelCase__		,					truncation=UpperCAmelCase__   ).input_ids[0]
										self.assertEqual(ids[0]		,					UpperCAmelCase__   )
										self.assertEqual(ids[-1]		,					2   )
										self.assertEqual(len(UpperCAmelCase__   )		,					UpperCAmelCase__   )







				def  lowerCamelCase_	(       self     :		Dict   ):
										'''simple docstring'''
										self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['''<mask>''', '''ar_AR''']   )		,					[250053, 250001]   )







				def  lowerCamelCase_	(       self     :		Dict   ):
										'''simple docstring'''
										lowercase :							int    		=tempfile.mkdtemp()
										lowercase :							List[str]    		=self.tokenizer.fairseq_tokens_to_ids
										self.tokenizer.save_pretrained(UpperCAmelCase__   )
										lowercase :							List[str]    		=MBartaaTokenizer.from_pretrained(UpperCAmelCase__   )
										self.assertDictEqual(new_tok.fairseq_tokens_to_ids		,					UpperCAmelCase__   )







				@require_torch
				def  lowerCamelCase_	(       self     :		List[Any]   ):
										'''simple docstring'''
										lowercase :							Union[str, Any]    		=self.tokenizer(self.src_text		,					text_target=self.tgt_text		,					padding=UpperCAmelCase__		,					return_tensors='''pt'''   )
										lowercase :							Optional[int]    		=shift_tokens_right(batch['''labels''']		,					self.tokenizer.pad_token_id   )

										# fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
										assert batch.input_ids[1][0] == EN_CODE
										assert batch.input_ids[1][-1] == 2
										assert batch.labels[1][0] == RO_CODE
										assert batch.labels[1][-1] == 2
										assert batch.decoder_input_ids[1][:2].tolist() == [2, RO_CODE]







				@require_torch
				def  lowerCamelCase_	(       self     :		int   ):
										'''simple docstring'''
										lowercase :							List[Any]    		=self.tokenizer(
										    self.src_text		,					text_target=self.tgt_text		,					padding=UpperCAmelCase__		,					truncation=UpperCAmelCase__		,					max_length=len(self.expected_src_tokens   )		,					return_tensors='''pt'''		,					)
										lowercase :							Dict    		=shift_tokens_right(batch['''labels''']		,					self.tokenizer.pad_token_id   )

										self.assertIsInstance(UpperCAmelCase__		,					UpperCAmelCase__   )

										self.assertEqual((2, 14)		,					batch.input_ids.shape   )
										self.assertEqual((2, 14)		,					batch.attention_mask.shape   )
										lowercase :							Union[str, Any]    		=batch.input_ids.tolist()[0]
										self.assertListEqual(self.expected_src_tokens		,					UpperCAmelCase__   )
										self.assertEqual(2		,					batch.decoder_input_ids[0, 0]   )  # decoder_start_token_id
										# Test that special tokens are reset
										self.assertEqual(self.tokenizer.prefix_tokens		,					[EN_CODE]   )
										self.assertEqual(self.tokenizer.suffix_tokens		,					[self.tokenizer.eos_token_id]   )







				def  lowerCamelCase_	(       self     :		Optional[Any]   ):
										'''simple docstring'''
										lowercase :							Optional[Any]    		=self.tokenizer(self.src_text		,					padding=UpperCAmelCase__		,					truncation=UpperCAmelCase__		,					max_length=3		,					return_tensors='''pt'''   )
										lowercase :							Dict    		=self.tokenizer(
										    text_target=self.tgt_text		,					padding=UpperCAmelCase__		,					truncation=UpperCAmelCase__		,					max_length=10		,					return_tensors='''pt'''   )
										lowercase :							Optional[int]    		=targets['''input_ids''']
										lowercase :							int    		=shift_tokens_right(UpperCAmelCase__		,					self.tokenizer.pad_token_id   )

										self.assertEqual(batch.input_ids.shape[1]		,					3   )
										self.assertEqual(batch.decoder_input_ids.shape[1]		,					10   )







				@require_torch
				def  lowerCamelCase_	(       self     :		str   ):
										'''simple docstring'''
										lowercase :							List[Any]    		=self.tokenizer._build_translation_inputs(
										    '''A test'''		,					return_tensors='''pt'''		,					src_lang='''en_XX'''		,					tgt_lang='''ar_AR'''   )

										self.assertEqual(
										    nested_simplify(UpperCAmelCase__   )		,					{
										        # en_XX, A, test, EOS
										        '''input_ids''': [[250004, 62, 3034, 2]],
										        '''attention_mask''': [[1, 1, 1, 1]],
										        # ar_AR
										        '''forced_bos_token_id''': 250001,
										    }		,					)








import tempfile
import unittest

from transformers import AutoModelForSeqaSeqLM, AutoTokenizer
from transformers.testing_utils import (
    is_torch_available,
    require_optimum,
    require_torch,
    slow,
)


if is_torch_available():
    import torch





@require_torch
@require_optimum
@slow
class 			_SCREAMING_SNAKE_CASE (   unittest.TestCase		):







   '''simple docstring'''




   def      _snake_case		(       self					:			Any			):
       SCREAMING_SNAKE_CASE										=   "hf-internal-testing/tiny-random-t5"
       SCREAMING_SNAKE_CASE										=   AutoTokenizer.from_pretrained(__lowerCamelCase			)
       SCREAMING_SNAKE_CASE										=   AutoModelForSeqaSeqLM.from_pretrained(__lowerCamelCase			)

       SCREAMING_SNAKE_CASE										=   tokenizer("This is me"     , return_tensors="pt"			)

       SCREAMING_SNAKE_CASE										=   model.to_bettertransformer()

       self.assertTrue(any("BetterTransformer" in mod.__class__.__name__ for _, mod in model.named_modules()			)			)

       SCREAMING_SNAKE_CASE										=   model.generate(**__lowerCamelCase			)

       SCREAMING_SNAKE_CASE										=   model.reverse_bettertransformer()

       self.assertFalse(any("BetterTransformer" in mod.__class__.__name__ for _, mod in model.named_modules()			)			)

       with tempfile.TemporaryDirectory() as tmpdirname:
           model.save_pretrained(__lowerCamelCase			)

           SCREAMING_SNAKE_CASE										=   AutoModelForSeqaSeqLM.from_pretrained(__lowerCamelCase			)

           self.assertFalse(
               any("BetterTransformer" in mod.__class__.__name__ for _, mod in model_reloaded.named_modules()			)			)

           SCREAMING_SNAKE_CASE										=   model_reloaded.generate(**__lowerCamelCase			)
           self.assertTrue(torch.allclose(__lowerCamelCase     , __lowerCamelCase			)			)





   def      _snake_case		(       self					:			int			):
       SCREAMING_SNAKE_CASE										=   "hf-internal-testing/tiny-random-t5"
       SCREAMING_SNAKE_CASE										=   AutoModelForSeqaSeqLM.from_pretrained(__lowerCamelCase			)

       SCREAMING_SNAKE_CASE										=   model.to_bettertransformer()

       with tempfile.TemporaryDirectory() as tmpdirname:
           with self.assertRaises(__lowerCamelCase			):
               model.save_pretrained(__lowerCamelCase			)

           SCREAMING_SNAKE_CASE										=   model.reverse_bettertransformer()
           model.save_pretrained(__lowerCamelCase			)