


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				:				str  				= get_tests_dir("fixtures/test_sentencepiece.model")

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

__UpperCamelCase				:				Any  				= 25_0004
__UpperCamelCase				:				List[Any]  				= 25_0020

@require_sentencepiece
@require_tokenizers
class 					__magic_name__		(   _UpperCAmelCase    , unittest.TestCase):
     A:						Union[str, Any]								=					MBartaaTokenizer
     A:						List[str]								=					MBartaaTokenizerFast
     A:						List[Any]								=					True
     A:						Any								=					True


     def    UpperCAmelCase__		(					self							:   Optional[Any]	)     ->					int:





      '''simple docstring'''






      super().setUp()

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


     def    UpperCAmelCase__		(					self							:   str	)     ->					int:





      '''simple docstring'''






      UpperCamelCase__    :			Tuple      				=      """<s>"""
      UpperCamelCase__    :			Union[str, Any]      				=      0

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


     def    UpperCAmelCase__		(					self							:   Dict	)     ->					Dict:





      '''simple docstring'''






      UpperCamelCase__    :			Optional[Any]      				=      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(lowercase_	)							,		1054	)


     def    UpperCAmelCase__		(					self							:   Tuple	)     ->					Any:





      '''simple docstring'''






      self.assertEqual(self.get_tokenizer().vocab_size							,		1054	)


     def    UpperCAmelCase__		(					self							:   int	)     ->					Any:





      '''simple docstring'''






      UpperCamelCase__    :			Tuple      				=      MBartaaTokenizer(lowercase_							,		src_lang='''en_XX'''							,		tgt_lang='''ro_RO'''							,		keep_accents=lowercase_	)

      UpperCamelCase__    :			Dict      				=      tokenizer.tokenize('''This is a test'''	)
      self.assertListEqual(lowercase_							,		['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']	)

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

      UpperCamelCase__    :			Optional[Any]      				=      tokenizer.tokenize('''I was born in 92000, and this is falsé.'''	)
      self.assertListEqual(
          lowercase_							,		[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''', '''.''']							,		)
      UpperCamelCase__    :			Optional[int]      				=      tokenizer.convert_tokens_to_ids(lowercase_	)
      self.assertListEqual(
          lowercase_							,		[
              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]
          ]							,		)

      UpperCamelCase__    :			Optional[int]      				=      tokenizer.convert_ids_to_tokens(lowercase_	)
      self.assertListEqual(
          lowercase_							,		[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    UpperCAmelCase__		(					self							:   Tuple	)     ->					List[str]:





      '''simple docstring'''






      UpperCamelCase__    :			Tuple      				=      {"""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=lowercase_							,		model_name='''facebook/mbart-large-50'''							,		revision='''d3913889c59cd5c9e456b269c376325eabad57e2'''							,		)


     def    UpperCAmelCase__		(					self							:   Dict	)     ->					Dict:





      '''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

      UpperCamelCase__    :			Dict      				=      (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})"	):
        UpperCamelCase__    :			Tuple      				=      self.rust_tokenizer_class.from_pretrained(lowercase_							,		**lowercase_	)
        UpperCamelCase__    :			Tuple      				=      self.tokenizer_class.from_pretrained(lowercase_							,		**lowercase_	)

        UpperCamelCase__    :			Optional[int]      				=      tempfile.mkdtemp()

        UpperCamelCase__    :			str      				=      tokenizer_r.save_pretrained(lowercase_	)
        UpperCamelCase__    :			Tuple      				=      tokenizer_p.save_pretrained(lowercase_	)

        # 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	)	)
        UpperCamelCase__    :			Dict      				=      tuple(f for f in tokenizer_r_files if '''tokenizer.json''' not in f	)
        self.assertSequenceEqual(lowercase_							,		lowercase_	)

        # Checks everything loads correctly in the same way
        UpperCamelCase__    :			Optional[int]      				=      tokenizer_r.from_pretrained(lowercase_	)
        UpperCamelCase__    :			List[Any]      				=      tokenizer_p.from_pretrained(lowercase_	)

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

        shutil.rmtree(lowercase_	)

        # Save tokenizer rust, legacy_format=True
        UpperCamelCase__    :			Union[str, Any]      				=      tempfile.mkdtemp()

        UpperCamelCase__    :			List[str]      				=      tokenizer_r.save_pretrained(lowercase_							,		legacy_format=lowercase_	)
        UpperCamelCase__    :			Union[str, Any]      				=      tokenizer_p.save_pretrained(lowercase_	)

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

        # Checks everything loads correctly in the same way
        UpperCamelCase__    :			Tuple      				=      tokenizer_r.from_pretrained(lowercase_	)
        UpperCamelCase__    :			str      				=      tokenizer_p.from_pretrained(lowercase_	)

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

        shutil.rmtree(lowercase_	)

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

        UpperCamelCase__    :			Any      				=      tokenizer_r.save_pretrained(lowercase_							,		legacy_format=lowercase_	)
        UpperCamelCase__    :			Optional[Any]      				=      tokenizer_p.save_pretrained(lowercase_	)

        # 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
        UpperCamelCase__    :			Optional[Any]      				=      tokenizer_r.from_pretrained(lowercase_	)
        UpperCamelCase__    :			str      				=      tokenizer_p.from_pretrained(lowercase_	)

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

        shutil.rmtree(lowercase_	)



@require_torch
@require_sentencepiece
@require_tokenizers
class 					__magic_name__		(   unittest.TestCase):
     A:						Dict								=					"facebook/mbart-large-50-one-to-many-mmt"
     A:						Any								=					[
         " 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.",
     ]
     A:						Optional[int]								=					[
         "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.",
     ]
     A:						Optional[int]								=					[EN_CODE, 8_2_7_4, 1_2_7_8_7_3, 2_5_9_1_6, 7, 8_6_2_2, 2_0_7_1, 4_3_8, 6_7_4_8_5, 5_3, 1_8_7_8_9_5, 2_3, 5_1_7_1_2, 2]


     @classmethod
     def    UpperCAmelCase__		(					cls							:   int	)     ->					str:





      '''simple docstring'''






      UpperCamelCase__    :			MBartaaTokenizer      				=      MBartaaTokenizer.from_pretrained(
          cls.checkpoint_name							,		src_lang='''en_XX'''							,		tgt_lang='''ro_RO'''	)
      UpperCamelCase__    :			Optional[Any]      				=      1
      return cls


     def    UpperCAmelCase__		(					self							:   List[str]	)     ->					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    UpperCAmelCase__		(					self							:   Optional[int]	)     ->					Optional[Any]:





      '''simple docstring'''






      UpperCamelCase__    :			List[Any]      				=      self.tokenizer.batch_encode_plus(self.src_text	).input_ids[0]
      self.assertListEqual(self.expected_src_tokens							,		lowercase_	)


     def    UpperCAmelCase__		(					self							:   List[Any]	)     ->					Optional[Any]:





      '''simple docstring'''






      self.assertIn(lowercase_							,		self.tokenizer.all_special_ids	)
      UpperCamelCase__    :			Optional[Any]      				=      [RO_CODE, 884, 9019, 96, 9, 916, 86792, 36, 18743, 15596, 5, 2]
      UpperCamelCase__    :			List[Any]      				=      self.tokenizer.decode(lowercase_							,		skip_special_tokens=lowercase_	)
      UpperCamelCase__    :			Optional[int]      				=      self.tokenizer.decode(generated_ids[1:]							,		skip_special_tokens=lowercase_	)
      self.assertEqual(lowercase_							,		lowercase_	)
      self.assertNotIn(self.tokenizer.eos_token							,		lowercase_	)


     def    UpperCAmelCase__		(					self							:   Union[str, Any]	)     ->					int:





      '''simple docstring'''






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


     def    UpperCAmelCase__		(					self							:   Optional[int]	)     ->					Any:





      '''simple docstring'''






      self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['''<mask>''', '''ar_AR''']	)							,		[250053, 250001]	)


     def    UpperCAmelCase__		(					self							:   Dict	)     ->					int:





      '''simple docstring'''






      UpperCamelCase__    :			Union[str, Any]      				=      tempfile.mkdtemp()
      UpperCamelCase__    :			Dict      				=      self.tokenizer.fairseq_tokens_to_ids
      self.tokenizer.save_pretrained(lowercase_	)
      UpperCamelCase__    :			List[Any]      				=      MBartaaTokenizer.from_pretrained(lowercase_	)
      self.assertDictEqual(new_tok.fairseq_tokens_to_ids							,		lowercase_	)


     @require_torch
     def    UpperCAmelCase__		(					self							:   List[str]	)     ->					Optional[int]:





      '''simple docstring'''






      UpperCamelCase__    :			Optional[Any]      				=      self.tokenizer(self.src_text							,		text_target=self.tgt_text							,		padding=lowercase_							,		return_tensors='''pt'''	)
      UpperCamelCase__    :			List[Any]      				=      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    UpperCAmelCase__		(					self							:   Union[str, Any]	)     ->					str:





      '''simple docstring'''






      UpperCamelCase__    :			int      				=      self.tokenizer(
          self.src_text							,		text_target=self.tgt_text							,		padding=lowercase_							,		truncation=lowercase_							,		max_length=len(self.expected_src_tokens	)							,		return_tensors='''pt'''							,		)
      UpperCamelCase__    :			Optional[int]      				=      shift_tokens_right(batch['''labels''']							,		self.tokenizer.pad_token_id	)

      self.assertIsInstance(lowercase_							,		lowercase_	)

      self.assertEqual((2, 14)							,		batch.input_ids.shape	)
      self.assertEqual((2, 14)							,		batch.attention_mask.shape	)
      UpperCamelCase__    :			Union[str, Any]      				=      batch.input_ids.tolist()[0]
      self.assertListEqual(self.expected_src_tokens							,		lowercase_	)
      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    UpperCAmelCase__		(					self							:   Optional[Any]	)     ->					str:





      '''simple docstring'''






      UpperCamelCase__    :			Optional[Any]      				=      self.tokenizer(self.src_text							,		padding=lowercase_							,		truncation=lowercase_							,		max_length=3							,		return_tensors='''pt'''	)
      UpperCamelCase__    :			str      				=      self.tokenizer(
          text_target=self.tgt_text							,		padding=lowercase_							,		truncation=lowercase_							,		max_length=10							,		return_tensors='''pt'''	)
      UpperCamelCase__    :			List[Any]      				=      targets["""input_ids"""]
      UpperCamelCase__    :			Union[str, Any]      				=      shift_tokens_right(lowercase_							,		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    UpperCAmelCase__		(					self							:   List[str]	)     ->					Dict:





      '''simple docstring'''






      UpperCamelCase__    :			Union[str, Any]      				=      self.tokenizer._build_translation_inputs(
          '''A test'''							,		return_tensors='''pt'''							,		src_lang='''en_XX'''							,		tgt_lang='''ar_AR'''	)

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



'''simple docstring'''




def 							lowerCamelCase	(      UpperCAmelCase__       :					int      ,      UpperCAmelCase__       :					int )			->      bool:
							return numa ^ numa < 0


if __name__ == "__main__":
						import doctest

						doctest.testmod()





