

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_             =     get_tests_dir('fixtures/test_sentencepiece.model')


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

lowercase_             =     2_5_0_0_0_4
lowercase_             =     2_5_0_0_2_0





@require_sentencepiece
@require_tokenizers
class 				__lowerCAmelCase  (      SCREAMING_SNAKE_CASE    ,    unittest.TestCase							):
  _a		    =						MBartTokenizer
  _a		    =						MBartTokenizerFast
  _a		    =						True
  _a		    =						True




  def 						A__  (       self      )						->				Optional[Any]:
        '''simple docstring'''






        super().setUp()

        # We have a SentencePiece fixture for testing
        _lowercase			 =MBartTokenizer(lowerCAmelCase							,     keep_accents=lowerCAmelCase      )
        tokenizer.save_pretrained(self.tmpdirname      )




  def 						A__  (       self      )						->				Union[str, Any]:
        '''simple docstring'''






        _lowercase			 =MBartTokenizer(lowerCAmelCase							,     keep_accents=lowerCAmelCase      )

        _lowercase			 =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]]							,     )

        _lowercase			 =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',
                '.',
            ]							,     )
        _lowercase			 =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 ^
            ]							,     )

        _lowercase			 =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 						A__  (       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			 =(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})'''      ):
                    _lowercase			 =self.rust_tokenizer_class.from_pretrained(lowerCAmelCase							,     **lowerCAmelCase      )
                    _lowercase			 =self.tokenizer_class.from_pretrained(lowerCAmelCase							,     **lowerCAmelCase      )

                    _lowercase			 =tempfile.mkdtemp()

                    _lowercase			 =tokenizer_r.save_pretrained(lowerCAmelCase      )
                    _lowercase			 =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      )      )
                    _lowercase			 =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
                    _lowercase			 =tokenizer_r.from_pretrained(lowerCAmelCase      )
                    _lowercase			 =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
                    _lowercase			 =tempfile.mkdtemp()

                    _lowercase			 =tokenizer_r.save_pretrained(lowerCAmelCase							,     legacy_format=lowerCAmelCase      )
                    _lowercase			 =tokenizer_p.save_pretrained(lowerCAmelCase      )

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

                    # Checks everything loads correctly in the same way
                    _lowercase			 =tokenizer_r.from_pretrained(lowerCAmelCase      )
                    _lowercase			 =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
                    _lowercase			 =tempfile.mkdtemp()

                    _lowercase			 =tokenizer_r.save_pretrained(lowerCAmelCase							,     legacy_format=lowerCAmelCase      )
                    _lowercase			 =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
                    _lowercase			 =tokenizer_r.from_pretrained(lowerCAmelCase      )
                    _lowercase			 =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 				__lowerCAmelCase  (      unittest.TestCase							):
  _a		    =						"""facebook/mbart-large-en-ro"""
  _a		    =						[
      """ 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		    =						[
      """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		    =						[8_274, 127_873, 25_916, 7, 8_622, 2_071, 438, 67_485, 53, 187_895, 23, 51_712, 2, EN_CODE]




  @classmethod
  def 						A__  (       cls      )						->				Optional[Any]:
        '''simple docstring'''






        _lowercase			 =MBartTokenizer.from_pretrained(
            cls.checkpoint_name							,     src_lang='en_XX'							,     tgt_lang='ro_RO'      )
        _lowercase			 =1
        return cls




  def 						A__  (       self      )						->				Dict:
        '''simple docstring'''






        self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['ar_AR']							,     250_001      )
        self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['en_EN']							,     250_004      )
        self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['ro_RO']							,     250_020      )




  def 						A__  (       self      )						->				Optional[int]:
        '''simple docstring'''






        _lowercase			 =self.tokenizer.batch_encode_plus(self.src_text      ).input_ids[0]
        self.assertListEqual(self.expected_src_tokens							,     lowerCAmelCase      )




  def 						A__  (       self      )						->				Dict:
        '''simple docstring'''






        self.assertIn(lowerCAmelCase							,     self.tokenizer.all_special_ids      )
        _lowercase			 =[RO_CODE, 884, 9_019, 96, 9, 916, 86_792, 36, 18_743, 15_596, 5, 2]
        _lowercase			 =self.tokenizer.decode(lowerCAmelCase							,     skip_special_tokens=lowerCAmelCase      )
        _lowercase			 =self.tokenizer.decode(generated_ids[1:]							,     skip_special_tokens=lowerCAmelCase      )
        self.assertEqual(lowerCAmelCase							,     lowerCAmelCase      )
        self.assertNotIn(self.tokenizer.eos_token							,     lowerCAmelCase      )




  def 						A__  (       self      )						->				Union[str, Any]:
        '''simple docstring'''






        _lowercase			 =['this is gunna be a long sentence ' * 20]
        assert isinstance(src_text[0]							,     lowerCAmelCase      )
        _lowercase			 =10
        _lowercase			 =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 						A__  (       self      )						->				Dict:
        '''simple docstring'''






        self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['<mask>', 'ar_AR']      )							,     [250_026, 250_001]      )




  def 						A__  (       self      )						->				int:
        '''simple docstring'''






        _lowercase			 =tempfile.mkdtemp()
        _lowercase			 =self.tokenizer.fairseq_tokens_to_ids
        self.tokenizer.save_pretrained(lowerCAmelCase      )
        _lowercase			 =MBartTokenizer.from_pretrained(lowerCAmelCase      )
        self.assertDictEqual(new_tok.fairseq_tokens_to_ids							,     lowerCAmelCase      )




  @require_torch
  def 						A__  (       self      )						->				int:
        '''simple docstring'''






        _lowercase			 =self.tokenizer(self.src_text							,     text_target=self.tgt_text							,     padding=lowerCAmelCase							,     return_tensors='pt'      )
        _lowercase			 =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 						A__  (       self      )						->				Any:
        '''simple docstring'''






        _lowercase			 =self.tokenizer(
            self.src_text							,     text_target=self.tgt_text							,     padding=lowerCAmelCase							,     truncation=lowerCAmelCase							,     max_length=len(self.expected_src_tokens      )							,     return_tensors='pt'							,     )

        _lowercase			 =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      )
        _lowercase			 =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 						A__  (       self      )						->				List[Any]:
        '''simple docstring'''






        _lowercase			 =self.tokenizer(self.src_text							,     padding=lowerCAmelCase							,     truncation=lowerCAmelCase							,     max_length=3							,     return_tensors='pt'      )
        _lowercase			 =self.tokenizer(
            text_target=self.tgt_text							,     padding=lowerCAmelCase							,     truncation=lowerCAmelCase							,     max_length=10							,     return_tensors='pt'      )
        _lowercase			 =targets['input_ids']
        _lowercase			 =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 						A__  (       self      )						->				int:
        '''simple docstring'''






        _lowercase			 =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, 3_034, 2, 250_004]],
                'attention_mask': [[1, 1, 1, 1]],
                # ar_AR
                'forced_bos_token_id': 250_001,
            }							,     )









print((lambda quine: quine % quine)('print((lambda quine: quine %% quine)(%r))'))


