

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


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


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

__A      		=     25_00_04
__A      		=     25_00_20



@require_sentencepiece
@require_tokenizers
class   lowercase_   (  __lowercase       ,							unittest.TestCase					):
      UpperCamelCase_      :		Optional[int]										=    MBartTokenizer
      UpperCamelCase_      :		Any										=    MBartTokenizerFast
      UpperCamelCase_      :		int										=    True
      UpperCamelCase_      :		int										=    True



      def 						UpperCamelCase_		(      self				:    Optional[int]		)   ->					Dict:
        super().setUp()

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



      def 						UpperCamelCase_		(      self				:    Optional[Any]		)   ->					Tuple:
        _snake_case						=							MBartTokenizer(A__      , keep_accents=A__		)

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

        self.assertListEqual(
            tokenizer.convert_tokens_to_ids(A__		)      , [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(
            A__      , [
                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(A__		)
        self.assertListEqual(
            A__      , [
                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 ^
            ]      , )

        _snake_case						=							tokenizer.convert_ids_to_tokens(A__		)
        self.assertListEqual(
            A__      , [
                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 						UpperCamelCase_		(      self				:    int		)   ->					Optional[int]:
        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-mbart''', {})
        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(A__      , **A__		)
            _snake_case						=							self.tokenizer_class.from_pretrained(A__      , **A__		)

            _snake_case						=							tempfile.mkdtemp()

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

            # 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(A__      , A__		)

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

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

            shutil.rmtree(A__		)

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

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

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

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

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

            shutil.rmtree(A__		)

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

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

            # 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(A__		)
            _snake_case						=							tokenizer_p.from_pretrained(A__		)

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

            shutil.rmtree(A__		)



@require_torch
@require_sentencepiece
@require_tokenizers
class   lowercase_   (  unittest.TestCase					):
      UpperCamelCase_      :		List[Any]										=    "facebook/mbart-large-en-ro"
      UpperCamelCase_      :		str										=    [
          " 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.",
      ]
      UpperCamelCase_      :		List[str]										=    [
          "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.",
      ]
      UpperCamelCase_      :		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 						UpperCamelCase_		(      cls				:    Optional[int]		)   ->					List[str]:
        _snake_case						=							MBartTokenizer.from_pretrained(
            cls.checkpoint_name      , src_lang='''en_XX'''      , tgt_lang='''ro_RO'''		)
        _snake_case						=							1
        return cls



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



      def 						UpperCamelCase_		(      self				:    Tuple		)   ->					List[str]:
        _snake_case						=							self.tokenizer.batch_encode_plus(self.src_text		).input_ids[0]
        self.assertListEqual(self.expected_src_tokens      , A__		)



      def 						UpperCamelCase_		(      self				:    Optional[Any]		)   ->					List[Any]:
        self.assertIn(A__      , self.tokenizer.all_special_ids		)
        _snake_case						=							[RO_CODE, 884, 9019, 96, 9, 916, 86792, 36, 18743, 15596, 5, 2]
        _snake_case						=							self.tokenizer.decode(A__      , skip_special_tokens=A__		)
        _snake_case						=							self.tokenizer.decode(generated_ids[1:]      , skip_special_tokens=A__		)
        self.assertEqual(A__      , A__		)
        self.assertNotIn(self.tokenizer.eos_token      , A__		)



      def 						UpperCamelCase_		(      self				:    List[Any]		)   ->					List[str]:
        _snake_case						=							['''this is gunna be a long sentence ''' * 20]
        assert isinstance(src_text[0]      , A__		)
        _snake_case						=							10
        _snake_case						=							self.tokenizer(A__      , max_length=A__      , truncation=A__		).input_ids[0]
        self.assertEqual(ids[-2]      , 2		)
        self.assertEqual(ids[-1]      , A__		)
        self.assertEqual(len(A__		)      , A__		)



      def 						UpperCamelCase_		(      self				:    int		)   ->					int:
        self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['''<mask>''', '''ar_AR''']		)      , [250026, 250001]		)



      def 						UpperCamelCase_		(      self				:    Optional[int]		)   ->					str:
        _snake_case						=							tempfile.mkdtemp()
        _snake_case						=							self.tokenizer.fairseq_tokens_to_ids
        self.tokenizer.save_pretrained(A__		)
        _snake_case						=							MBartTokenizer.from_pretrained(A__		)
        self.assertDictEqual(new_tok.fairseq_tokens_to_ids      , A__		)



      @require_torch
      def 						UpperCamelCase_		(      self				:    Tuple		)   ->					Union[str, Any]:
        _snake_case						=							self.tokenizer(self.src_text      , text_target=self.tgt_text      , padding=A__      , 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][-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 						UpperCamelCase_		(      self				:    Tuple		)   ->					int:
        _snake_case						=							self.tokenizer(
            self.src_text      , text_target=self.tgt_text      , padding=A__      , truncation=A__      , max_length=len(self.expected_src_tokens		)      , return_tensors='''pt'''      , )

        _snake_case						=							shift_tokens_right(batch['''labels''']      , self.tokenizer.pad_token_id		)

        self.assertIsInstance(A__      , A__		)

        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      , A__		)
        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 						UpperCamelCase_		(      self				:    List[str]		)   ->					str:
        _snake_case						=							self.tokenizer(self.src_text      , padding=A__      , truncation=A__      , max_length=3      , return_tensors='''pt'''		)
        _snake_case						=							self.tokenizer(
            text_target=self.tgt_text      , padding=A__      , truncation=A__      , max_length=10      , return_tensors='''pt'''		)
        _snake_case						=							targets['''input_ids''']
        _snake_case						=							shift_tokens_right(A__      , 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[Any]		)   ->					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(A__		)      , {
                # A, test, EOS, en_XX
                '''input_ids''': [[62, 3034, 2, 250004]],
                '''attention_mask''': [[1, 1, 1, 1]],
                # ar_AR
                '''forced_bos_token_id''': 250001,
            }      , )




from ..utils import DummyObject, requires_backends



class   lowercase_   (  metaclass=__lowercase					):
      UpperCamelCase_      :		Optional[int]										=    ["speech"]



      def __init__(      self				:    str      , *A__				:    List[str]      , **A__				:    Tuple		)   ->					Optional[Any]:
        requires_backends(self      , ['''speech''']		)



class   lowercase_   (  metaclass=__lowercase					):
      UpperCamelCase_      :		Optional[Any]										=    ["speech"]



      def __init__(      self				:    Dict      , *A__				:    int      , **A__				:    int		)   ->					Tuple:
        requires_backends(self      , ['''speech''']		)

