



'''simple docstring'''



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


lowerCamelCase	 =       get_tests_dir("""fixtures/test_sentencepiece.model""")

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

lowerCamelCase	 =       25_0004
lowerCamelCase	 =       25_0020





@require_sentencepiece
@require_tokenizers
class _UpperCamelCase		(     lowercase__      ,       unittest.TestCase		):





    '''simple docstring'''





    lowerCAmelCase__					    =    MBartaaTokenizer
    lowerCAmelCase__					    =    MBartaaTokenizerFast
    lowerCAmelCase__					    =    True
    lowerCAmelCase__					    =    True

    def 				__lowerCamelCase     (							self  :  str):







           '''simple docstring'''

           super().setUp()

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

    def 				__lowerCamelCase     (							self  :  Tuple):







           '''simple docstring'''

           __lowercase       	="<s>"
           __lowercase       	=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  :  Optional[int]):







           '''simple docstring'''

           __lowercase       	=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)  ,       1_0_5_4)

    def 				__lowerCamelCase     (							self  :  Optional[Any]):







           '''simple docstring'''

           self.assertEqual(self.get_tokenizer().vocab_size  ,       1_0_5_4)

    def 				__lowerCamelCase     (							self  :  Tuple):







           '''simple docstring'''

           __lowercase       	=MBartaaTokenizer(__lowerCamelCase  ,       src_lang='en_XX'  ,       tgt_lang='ro_RO'  ,       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 [2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]]  ,       )

           __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, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 2, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, 2, 4]
               ]  ,       )

           __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>', '.']  ,       )

    @slow
    def 				__lowerCamelCase     (							self  :  Optional[int]):







           '''simple docstring'''

           __lowercase       	={"input_ids": [[2_5_0_0_0_4, 1_1_0_6_2, 8_2_7_7_2, 7, 1_5, 8_2_7_7_2, 5_3_8, 5_1_5_2_9, 2_3_7, 1_7_1_9_8, 1_2_9_0, 2_0_6, 9, 2_1_5_1_7_5, 1_3_1_4, 1_3_6, 1_7_1_9_8, 1_2_9_0, 2_0_6, 9, 5_6_3_5_9, 4_2, 1_2_2_0_0_9, 9, 1_6_4_6_6, 1_6, 8_7_3_4_4, 4_5_3_7, 9, 4_7_1_7, 7_8_3_8_1, 6, 1_5_9_9_5_8, 7, 1_5, 2_4_4_8_0, 6_1_8, 4, 5_2_7, 2_2_6_9_3, 5_4_2_8, 4, 2_7_7_7, 2_4_4_8_0, 9_8_7_4, 4, 4_3_5_2_3, 5_9_4, 4, 8_0_3, 1_8_3_9_2, 3_3_1_8_9, 1_8, 4, 4_3_5_2_3, 2_4_4_4_7, 1_2_3_9_9, 1_0_0, 2_4_9_5_5, 8_3_6_5_8, 9_6_2_6, 1_4_4_0_5_7, 1_5, 8_3_9, 2_2_3_3_5, 1_6, 1_3_6, 2_4_9_5_5, 8_3_6_5_8, 8_3_4_7_9, 1_5, 3_9_1_0_2, 7_2_4, 1_6, 6_7_8, 6_4_5, 2_7_8_9, 1_3_2_8, 4_5_8_9, 4_2, 1_2_2_0_0_9, 1_1_5_7_7_4, 2_3, 8_0_5, 1_3_2_8, 4_6_8_7_6, 7, 1_3_6, 5_3_8_9_4, 1_9_4_0, 4_2_2_2_7, 4_1_1_5_9, 1_7_7_2_1, 8_2_3, 4_2_5, 4, 2_7_5_1_2, 9_8_7_2_2, 2_0_6, 1_3_6, 5_5_3_1, 4_9_7_0, 9_1_9, 1_7_3_3_6, 5, 2], [2_5_0_0_0_4, 2_0_0_8_0, 6_1_8, 8_3, 8_2_7_7_5, 4_7, 4_7_9, 9, 1_5_1_7, 7_3, 5_3_8_9_4, 3_3_3, 8_0_5_8_1, 1_1_0_1_1_7, 1_8_8_1_1, 5_2_5_6, 1_2_9_5, 5_1, 1_5_2_5_2_6, 2_9_7, 7_9_8_6, 3_9_0, 1_2_4_4_1_6, 5_3_8, 3_5_4_3_1, 2_1_4, 9_8, 1_5_0_4_4, 2_5_7_3_7, 1_3_6, 7_1_0_8, 4_3_7_0_1, 2_3, 7_5_6, 1_3_5_3_5_5, 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], [2_5_0_0_0_4, 5_8_1, 6_3_7_7_3, 1_1_9_4_5_5, 6, 1_4_7_7_9_7, 8_8_2_0_3, 7, 6_4_5, 7_0, 2_1, 3_2_8_5, 1_0_2_6_9, 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  :  List[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-mbart50", {})
           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 _UpperCamelCase		(     unittest.TestCase		):





    '''simple docstring'''





    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, 82_74, 12_78_73, 2_59_16, 7, 86_22, 20_71, 4_38, 6_74_85, 53, 18_78_95, 23, 5_17_12, 2]

    @classmethod
    def 				__lowerCamelCase     (							cls  :  Optional[int]):







           '''simple docstring'''

           __lowercase       	=MBartaaTokenizer.from_pretrained(
               cls.checkpoint_name  ,       src_lang='en_XX'  ,       tgt_lang='ro_RO')
           __lowercase       	=1
           return cls

    def 				__lowerCamelCase     (							self  :  Optional[Any]):







           '''simple docstring'''

           self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['ar_AR']  ,       2_5_0_0_0_1)
           self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['en_EN']  ,       2_5_0_0_0_4)
           self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['ro_RO']  ,       2_5_0_0_2_0)
           self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['mr_IN']  ,       2_5_0_0_3_8)

    def 				__lowerCamelCase     (							self  :  Optional[Any]):







           '''simple docstring'''

           __lowercase       	=self.tokenizer.batch_encode_plus(self.src_text).input_ids[0]
           self.assertListEqual(self.expected_src_tokens  ,       __lowerCamelCase)

    def 				__lowerCamelCase     (							self  :  List[str]):







           '''simple docstring'''

           self.assertIn(__lowerCamelCase  ,       self.tokenizer.all_special_ids)
           __lowercase       	=[RO_CODE, 8_8_4, 9_0_1_9, 9_6, 9, 9_1_6, 8_6_7_9_2, 3_6, 1_8_7_4_3, 1_5_5_9_6, 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 				__lowerCamelCase     (							self  :  List[str]):







           '''simple docstring'''

           __lowercase       	=["this is gunna be a long sentence " * 2_0]
           assert isinstance(src_text[0]  ,       __lowerCamelCase)
           __lowercase       	=1_0
           __lowercase       	=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  :  int):







           '''simple docstring'''

           self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['<mask>', 'ar_AR'])  ,       [2_5_0_0_5_3, 2_5_0_0_0_1])

    def 				__lowerCamelCase     (							self  :  str):







           '''simple docstring'''

           __lowercase       	=tempfile.mkdtemp()
           __lowercase       	=self.tokenizer.fairseq_tokens_to_ids
           self.tokenizer.save_pretrained(__lowerCamelCase)
           __lowercase       	=MBartaaTokenizer.from_pretrained(__lowerCamelCase)
           self.assertDictEqual(new_tok.fairseq_tokens_to_ids  ,       __lowerCamelCase)

    @require_torch
    def 				__lowerCamelCase     (							self  :  Optional[Any]):







           '''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][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  :  Tuple):







           '''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, 1_4)  ,       batch.input_ids.shape)
           self.assertEqual((2, 1_4)  ,       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, 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  :  str):







           '''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=1_0  ,       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]  ,       1_0)

    @require_torch
    def 				__lowerCamelCase     (							self  :  Optional[Any]):







           '''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)  ,       {
                   # en_XX, A, test, EOS
                   'input_ids': [[2_5_0_0_0_4, 6_2, 3_0_3_4, 2]],
                   'attention_mask': [[1, 1, 1, 1]],
                   # ar_AR
                   'forced_bos_token_id': 2_5_0_0_0_1,
               }  ,       )








'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import _LazyModule


lowerCamelCase	 =       {"""tokenization_bertweet""": ["""BertweetTokenizer"""]}


if TYPE_CHECKING:
		from .tokenization_bertweet import BertweetTokenizer

else:
		import sys

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



