





import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartTokenizer, MBartTokenizerFast, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
)

from ...test_tokenization_common import TokenizerTesterMixin


lowercase				:	Tuple      						=  get_tests_dir("""fixtures/test_sentencepiece.model""")


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

lowercase				:	List[str]      						=  2_5_0_0_0_4
lowercase				:	Optional[Any]      						=  2_5_0_0_2_0





@require_sentencepiece
@require_tokenizers
class 			A__   (							A_			,  unittest.TestCase     ):




   """simple docstring"""



   __A       :    Tuple	  =  MBartTokenizer
   __A       :    List[Any]	  =  MBartTokenizerFast
   __A       :    Union[str, Any]	  =  True
   __A       :    Optional[Any]	  =  True

   def 							__lowercase		( self)      ->						Dict:







          '''simple docstring'''

          super().setUp()

          # We have a SentencePiece fixture for testing
          a__						:     Optional[Any]			=    MBartTokenizer(_lowerCamelCase ,  keep_accents=_lowerCamelCase)
          tokenizer.save_pretrained(self.tmpdirname)

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







          '''simple docstring'''

          a__						:     int			=    MBartTokenizer(_lowerCamelCase ,  keep_accents=_lowerCamelCase)

          a__						:     List[Any]			=    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]] ,  )

          a__						:     List[str]			=    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',
                  '.',
              ] ,  )
          a__						:     Any			=    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]
                  #                                       ^ unk: 2 + 1 = 3                  unk: 2 + 1 = 3 ^
              ] ,  )

          a__						:     Dict			=    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>',
                  '.',
              ] ,  )

   def 							__lowercase		( self)      ->						int:







          '''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

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

                        a__						:     Any			=    tempfile.mkdtemp()

                        a__						:     List[Any]			=    tokenizer_r.save_pretrained(_lowerCamelCase)
                        a__						:     Optional[Any]			=    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))
                        a__						:     Dict			=    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
                        a__						:     str			=    tokenizer_r.from_pretrained(_lowerCamelCase)
                        a__						:     str			=    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
                        a__						:     Any			=    tempfile.mkdtemp()

                        a__						:     Optional[int]			=    tokenizer_r.save_pretrained(_lowerCamelCase ,  legacy_format=_lowerCamelCase)
                        a__						:     Optional[int]			=    tokenizer_p.save_pretrained(_lowerCamelCase)

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

                        # Checks everything loads correctly in the same way
                        a__						:     List[Any]			=    tokenizer_r.from_pretrained(_lowerCamelCase)
                        a__						:     List[str]			=    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
                        a__						:     Optional[int]			=    tempfile.mkdtemp()

                        a__						:     Dict			=    tokenizer_r.save_pretrained(_lowerCamelCase ,  legacy_format=_lowerCamelCase)
                        a__						:     Union[str, Any]			=    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
                        a__						:     Dict			=    tokenizer_r.from_pretrained(_lowerCamelCase)
                        a__						:     Tuple			=    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 			A__   (							unittest.TestCase     ):




   """simple docstring"""



   __A       :    Optional[int]	  =  '''facebook/mbart-large-en-ro'''
   __A       :    Dict	  =  [
       ''' 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       :    Any	  =  [
       '''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       :    List[str]	  =  [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, EN_CODE]

   @classmethod
   def 							__lowercase		( cls)      ->						int:







          '''simple docstring'''

          a__						:     str			=    MBartTokenizer.from_pretrained(
              cls.checkpoint_name ,  src_lang='en_XX' ,  tgt_lang='ro_RO')
          a__						:     Union[str, Any]			=    1
          return cls

   def 							__lowercase		( self)      ->						int:







          '''simple docstring'''

          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)

   def 							__lowercase		( self)      ->						Optional[Any]:







          '''simple docstring'''

          a__						:     Optional[Any]			=    self.tokenizer.batch_encode_plus(self.src_text).input_ids[0]
          self.assertListEqual(self.expected_src_tokens ,  _lowerCamelCase)

   def 							__lowercase		( self)      ->						List[Any]:







          '''simple docstring'''

          self.assertIn(_lowerCamelCase ,  self.tokenizer.all_special_ids)
          a__						:     Optional[Any]			=    [RO_CODE, 884, 9019, 96, 9, 916, 8_6792, 36, 1_8743, 1_5596, 5, 2]
          a__						:     List[str]			=    self.tokenizer.decode(_lowerCamelCase ,  skip_special_tokens=_lowerCamelCase)
          a__						:     Optional[int]			=    self.tokenizer.decode(generated_ids[1:] ,  skip_special_tokens=_lowerCamelCase)
          self.assertEqual(_lowerCamelCase ,  _lowerCamelCase)
          self.assertNotIn(self.tokenizer.eos_token ,  _lowerCamelCase)

   def 							__lowercase		( self)      ->						int:







          '''simple docstring'''

          a__						:     int			=    ['this is gunna be a long sentence ' * 20]
          assert isinstance(src_text[0] ,  _lowerCamelCase)
          a__						:     str			=    10
          a__						:     Optional[Any]			=    self.tokenizer(_lowerCamelCase ,  max_length=_lowerCamelCase ,  truncation=_lowerCamelCase).input_ids[0]
          self.assertEqual(ids[-2] ,  2)
          self.assertEqual(ids[-1] ,  _lowerCamelCase)
          self.assertEqual(len(_lowerCamelCase) ,  _lowerCamelCase)

   def 							__lowercase		( self)      ->						List[str]:







          '''simple docstring'''

          self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['<mask>', 'ar_AR']) ,  [25_0026, 25_0001])

   def 							__lowercase		( self)      ->						List[str]:







          '''simple docstring'''

          a__						:     Optional[int]			=    tempfile.mkdtemp()
          a__						:     Any			=    self.tokenizer.fairseq_tokens_to_ids
          self.tokenizer.save_pretrained(_lowerCamelCase)
          a__						:     Dict			=    MBartTokenizer.from_pretrained(_lowerCamelCase)
          self.assertDictEqual(new_tok.fairseq_tokens_to_ids ,  _lowerCamelCase)

   @require_torch
   def 							__lowercase		( self)      ->						Union[str, Any]:







          '''simple docstring'''

          a__						:     Any			=    self.tokenizer(self.src_text ,  text_target=self.tgt_text ,  padding=_lowerCamelCase ,  return_tensors='pt')
          a__						:     List[str]			=    shift_tokens_right(batch['labels'] ,  self.tokenizer.pad_token_id)

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

   @require_torch
   def 							__lowercase		( self)      ->						Any:







          '''simple docstring'''

          a__						:     Tuple			=    self.tokenizer(
              self.src_text ,  text_target=self.tgt_text ,  padding=_lowerCamelCase ,  truncation=_lowerCamelCase ,  max_length=len(self.expected_src_tokens) ,  return_tensors='pt' ,  )

          a__						:     Tuple			=    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)
          a__						:     Any			=    batch.input_ids.tolist()[0]
          self.assertListEqual(self.expected_src_tokens ,  _lowerCamelCase)
          self.assertEqual(2 ,  batch.decoder_input_ids[0, -1])  # EOS
          # Test that special tokens are reset
          self.assertEqual(self.tokenizer.prefix_tokens ,  [])
          self.assertEqual(self.tokenizer.suffix_tokens ,  [self.tokenizer.eos_token_id, EN_CODE])

   def 							__lowercase		( self)      ->						Dict:







          '''simple docstring'''

          a__						:     List[str]			=    self.tokenizer(self.src_text ,  padding=_lowerCamelCase ,  truncation=_lowerCamelCase ,  max_length=3 ,  return_tensors='pt')
          a__						:     str			=    self.tokenizer(
              text_target=self.tgt_text ,  padding=_lowerCamelCase ,  truncation=_lowerCamelCase ,  max_length=10 ,  return_tensors='pt')
          a__						:     int			=    targets['input_ids']
          a__						:     Any			=    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 							__lowercase		( self)      ->						List[str]:







          '''simple docstring'''

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

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









import re

from filelock import FileLock


try:
    import nltk

    lowercase				:	List[str]      						=  True
except (ImportError, ModuleNotFoundError):
    lowercase				:	Tuple      						=  False

if NLTK_AVAILABLE:
    with FileLock(""".lock""") as lock:
        nltk.download("""punkt""", quiet=True)



def A_     (		A__    )  ->		str:
       re.sub('<n>'		,				''		,				A__    )  # remove pegasus newline char
       assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
       return "\n".join(nltk.sent_tokenize(A__    )    )


