





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 			UpperCamelCase_		(  lowercase__				,  unittest.TestCase					):
					lowerCAmelCase_							=	MBartaaTokenizer
					lowerCAmelCase_							=	MBartaaTokenizerFast
					lowerCAmelCase_							=	True
					lowerCAmelCase_							=	True




					def 	lowerCAmelCase			(		self  )		->							Union[str, Any]:
										super().setUp()

										# We have a SentencePiece fixture for testing
										_snake_case									=				MBartaaTokenizer(__lowerCamelCase				,						src_lang='en_XX'				,						tgt_lang='ro_RO'				,						keep_accents=__lowerCamelCase  )
										tokenizer.save_pretrained(self.tmpdirname  )




					def 	lowerCAmelCase			(		self  )		->							Any:
										_snake_case									=				"<s>"
										_snake_case									=				0

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




					def 	lowerCAmelCase			(		self  )		->							int:
										_snake_case									=				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(__lowerCamelCase  )				,						1054  )




					def 	lowerCAmelCase			(		self  )		->							List[Any]:
										self.assertEqual(self.get_tokenizer().vocab_size				,						1054  )




					def 	lowerCAmelCase			(		self  )		->							Optional[Any]:
										_snake_case									=				MBartaaTokenizer(__lowerCamelCase				,						src_lang='en_XX'				,						tgt_lang='ro_RO'				,						keep_accents=__lowerCamelCase  )

										_snake_case									=				tokenizer.tokenize('This is a test'  )
										self.assertListEqual(__lowerCamelCase				,						['▁This', '▁is', '▁a', '▁t', 'est']  )

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

										_snake_case									=				tokenizer.tokenize('I was born in 92000, and this is falsé.'  )
										self.assertListEqual(
										    __lowerCamelCase				,						[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', '.']				,						)
										_snake_case									=				tokenizer.convert_tokens_to_ids(__lowerCamelCase  )
										self.assertListEqual(
										    __lowerCamelCase				,						[
										        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]
										    ]				,						)

										_snake_case									=				tokenizer.convert_ids_to_tokens(__lowerCamelCase  )
										self.assertListEqual(
										    __lowerCamelCase				,						[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  )		->							Tuple:
										_snake_case									=				{"input_ids": [[25_0004, 1_1062, 8_2772, 7, 15, 8_2772, 538, 5_1529, 237, 1_7198, 1290, 206, 9, 21_5175, 1314, 136, 1_7198, 1290, 206, 9, 5_6359, 42, 12_2009, 9, 1_6466, 16, 8_7344, 4537, 9, 4717, 7_8381, 6, 15_9958, 7, 15, 2_4480, 618, 4, 527, 2_2693, 5428, 4, 2777, 2_4480, 9874, 4, 4_3523, 594, 4, 803, 1_8392, 3_3189, 18, 4, 4_3523, 2_4447, 1_2399, 100, 2_4955, 8_3658, 9626, 14_4057, 15, 839, 2_2335, 16, 136, 2_4955, 8_3658, 8_3479, 15, 3_9102, 724, 16, 678, 645, 2789, 1328, 4589, 42, 12_2009, 11_5774, 23, 805, 1328, 4_6876, 7, 136, 5_3894, 1940, 4_2227, 4_1159, 1_7721, 823, 425, 4, 2_7512, 9_8722, 206, 136, 5531, 4970, 919, 1_7336, 5, 2], [25_0004, 2_0080, 618, 83, 8_2775, 47, 479, 9, 1517, 73, 5_3894, 333, 8_0581, 11_0117, 1_8811, 5256, 1295, 51, 15_2526, 297, 7986, 390, 12_4416, 538, 3_5431, 214, 98, 1_5044, 2_5737, 136, 7108, 4_3701, 23, 756, 13_5355, 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], [25_0004, 581, 6_3773, 11_9455, 6, 14_7797, 8_8203, 7, 645, 70, 21, 3285, 1_0269, 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=__lowerCamelCase				,						model_name='facebook/mbart-large-50'				,						revision='d3913889c59cd5c9e456b269c376325eabad57e2'				,						)






					def 	lowerCAmelCase			(		self  )		->							Any:



										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

										_snake_case									=				(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})'''  ):
																				_snake_case									=				self.rust_tokenizer_class.from_pretrained(__lowerCamelCase				,						**__lowerCamelCase  )
																				_snake_case									=				self.tokenizer_class.from_pretrained(__lowerCamelCase				,						**__lowerCamelCase  )

																				_snake_case									=				tempfile.mkdtemp()

																				_snake_case									=				tokenizer_r.save_pretrained(__lowerCamelCase  )
																				_snake_case									=				tokenizer_p.save_pretrained(__lowerCamelCase  )

																				# 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  )  )
																				_snake_case									=				tuple(f for f in tokenizer_r_files if 'tokenizer.json' not in f  )
																				self.assertSequenceEqual(__lowerCamelCase				,						__lowerCamelCase  )

																				# Checks everything loads correctly in the same way
																				_snake_case									=				tokenizer_r.from_pretrained(__lowerCamelCase  )
																				_snake_case									=				tokenizer_p.from_pretrained(__lowerCamelCase  )

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

																				shutil.rmtree(__lowerCamelCase  )

																				# Save tokenizer rust, legacy_format=True
																				_snake_case									=				tempfile.mkdtemp()

																				_snake_case									=				tokenizer_r.save_pretrained(__lowerCamelCase				,						legacy_format=__lowerCamelCase  )
																				_snake_case									=				tokenizer_p.save_pretrained(__lowerCamelCase  )

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

																				# Checks everything loads correctly in the same way
																				_snake_case									=				tokenizer_r.from_pretrained(__lowerCamelCase  )
																				_snake_case									=				tokenizer_p.from_pretrained(__lowerCamelCase  )

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

																				shutil.rmtree(__lowerCamelCase  )

																				# Save tokenizer rust, legacy_format=False
																				_snake_case									=				tempfile.mkdtemp()

																				_snake_case									=				tokenizer_r.save_pretrained(__lowerCamelCase				,						legacy_format=__lowerCamelCase  )
																				_snake_case									=				tokenizer_p.save_pretrained(__lowerCamelCase  )

																				# 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
																				_snake_case									=				tokenizer_r.from_pretrained(__lowerCamelCase  )
																				_snake_case									=				tokenizer_p.from_pretrained(__lowerCamelCase  )

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

																				shutil.rmtree(__lowerCamelCase  )





@require_torch
@require_sentencepiece
@require_tokenizers
class 			UpperCamelCase_		(  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, 8274, 127873, 25916, 7, 8622, 2071, 438, 67485, 53, 187895, 23, 51712, 2]




					@classmethod
					def 	lowerCAmelCase			(		cls  )		->							int:
										_snake_case									=				MBartaaTokenizer.from_pretrained(
										    cls.checkpoint_name				,						src_lang='en_XX'				,						tgt_lang='ro_RO'  )
										_snake_case									=				1
										return cls




					def 	lowerCAmelCase			(		self  )		->							Any:
										self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['ar_AR']				,						25_0001  )
										self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['en_EN']				,						25_0004  )
										self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['ro_RO']				,						25_0020  )
										self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['mr_IN']				,						25_0038  )




					def 	lowerCAmelCase			(		self  )		->							Any:
										_snake_case									=				self.tokenizer.batch_encode_plus(self.src_text  ).input_ids[0]
										self.assertListEqual(self.expected_src_tokens				,						__lowerCamelCase  )




					def 	lowerCAmelCase			(		self  )		->							int:
										self.assertIn(__lowerCamelCase				,						self.tokenizer.all_special_ids  )
										_snake_case									=				[RO_CODE, 884, 9019, 96, 9, 916, 8_6792, 36, 1_8743, 1_5596, 5, 2]
										_snake_case									=				self.tokenizer.decode(__lowerCamelCase				,						skip_special_tokens=__lowerCamelCase  )
										_snake_case									=				self.tokenizer.decode(generated_ids[1:]				,						skip_special_tokens=__lowerCamelCase  )
										self.assertEqual(__lowerCamelCase				,						__lowerCamelCase  )
										self.assertNotIn(self.tokenizer.eos_token				,						__lowerCamelCase  )




					def 	lowerCAmelCase			(		self  )		->							Dict:
										_snake_case									=				["this is gunna be a long sentence " * 20]
										assert isinstance(src_text[0]				,						__lowerCamelCase  )
										_snake_case									=				10
										_snake_case									=				self.tokenizer(__lowerCamelCase				,						max_length=__lowerCamelCase				,						truncation=__lowerCamelCase  ).input_ids[0]
										self.assertEqual(ids[0]				,						__lowerCamelCase  )
										self.assertEqual(ids[-1]				,						2  )
										self.assertEqual(len(__lowerCamelCase  )				,						__lowerCamelCase  )




					def 	lowerCAmelCase			(		self  )		->							str:
										self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['<mask>', 'ar_AR']  )				,						[25_0053, 25_0001]  )




					def 	lowerCAmelCase			(		self  )		->							Union[str, Any]:
										_snake_case									=				tempfile.mkdtemp()
										_snake_case									=				self.tokenizer.fairseq_tokens_to_ids
										self.tokenizer.save_pretrained(__lowerCamelCase  )
										_snake_case									=				MBartaaTokenizer.from_pretrained(__lowerCamelCase  )
										self.assertDictEqual(new_tok.fairseq_tokens_to_ids				,						__lowerCamelCase  )




					@require_torch
					def 	lowerCAmelCase			(		self  )		->							str:
										_snake_case									=				self.tokenizer(self.src_text				,						text_target=self.tgt_text				,						padding=__lowerCamelCase				,						return_tensors='pt'  )
										_snake_case									=				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  )		->							List[Any]:
										_snake_case									=				self.tokenizer(
										    self.src_text				,						text_target=self.tgt_text				,						padding=__lowerCamelCase				,						truncation=__lowerCamelCase				,						max_length=len(self.expected_src_tokens  )				,						return_tensors='pt'				,						)
										_snake_case									=				shift_tokens_right(batch['labels']				,						self.tokenizer.pad_token_id  )

										self.assertIsInstance(__lowerCamelCase				,						__lowerCamelCase  )

										self.assertEqual((2, 14)				,						batch.input_ids.shape  )
										self.assertEqual((2, 14)				,						batch.attention_mask.shape  )
										_snake_case									=				batch.input_ids.tolist()[0]
										self.assertListEqual(self.expected_src_tokens				,						__lowerCamelCase  )
										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  )		->							Dict:
										_snake_case									=				self.tokenizer(self.src_text				,						padding=__lowerCamelCase				,						truncation=__lowerCamelCase				,						max_length=3				,						return_tensors='pt'  )
										_snake_case									=				self.tokenizer(
										    text_target=self.tgt_text				,						padding=__lowerCamelCase				,						truncation=__lowerCamelCase				,						max_length=10				,						return_tensors='pt'  )
										_snake_case									=				targets["input_ids"]
										_snake_case									=				shift_tokens_right(__lowerCamelCase				,						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  )		->							int:
										_snake_case									=				self.tokenizer._build_translation_inputs(
										    'A test'				,						return_tensors='pt'				,						src_lang='en_XX'				,						tgt_lang='ar_AR'  )

										self.assertEqual(
										    nested_simplify(__lowerCamelCase  )				,						{
										        # en_XX, A, test, EOS
										        'input_ids': [[25_0004, 62, 3034, 2]],
										        'attention_mask': [[1, 1, 1, 1]],
										        # ar_AR
										        'forced_bos_token_id': 25_0001,
										    }				,						)










from typing import TYPE_CHECKING

from ...utils import _LazyModule


UpperCAmelCase_      							=     {"""tokenization_byt5""": ["""ByT5Tokenizer"""]}


if TYPE_CHECKING:
					from .tokenization_byta import ByTaTokenizer
else:
					import sys

					UpperCAmelCase_      							=     _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



