




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__			:       Tuple         =							get_tests_dir('fixtures/test_sentencepiece.model')

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

lowerCamelCase__			:       Tuple         =							250_004
lowerCamelCase__			:       Dict         =							250_020





@require_sentencepiece
@require_tokenizers
class 	lowerCamelCase_							(				_SCREAMING_SNAKE_CASE	,       unittest.TestCase ):


 '''simple docstring'''







 lowercase_       =   MBartaaTokenizer
 lowercase_       =   MBartaaTokenizerFast
 lowercase_       =   True
 lowercase_       =   True



 def 				lowerCAmelCase_  (							self  :		Union[str, Any]						):
       super().setUp()

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



 def 				lowerCAmelCase_  (							self  :		List[str]						):
       SCREAMING_SNAKE_CASE_     						=      '<s>'
       SCREAMING_SNAKE_CASE_     						=      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  :		Union[str, Any]						):
       SCREAMING_SNAKE_CASE_     						=      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_054						)



 def 				lowerCAmelCase_  (							self  :		Dict						):
       self.assertEqual(self.get_tokenizer().vocab_size    ,    1_054						)



 def 				lowerCAmelCase_  (							self  :		List[str]						):
       SCREAMING_SNAKE_CASE_     						=      MBartaaTokenizer(_lowerCAmelCase    ,    src_lang='en_XX'    ,    tgt_lang='ro_RO'    ,    keep_accents=_lowerCAmelCase						)

       SCREAMING_SNAKE_CASE_     						=      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]]    ,    )

       SCREAMING_SNAKE_CASE_     						=      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', '.']    ,    )
       SCREAMING_SNAKE_CASE_     						=      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]
           ]    ,    )

       SCREAMING_SNAKE_CASE_     						=      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  :		str						):
       # fmt: off
       SCREAMING_SNAKE_CASE_     						=      {'input_ids': [[250_004, 11_062, 82_772, 7, 15, 82_772, 538, 51_529, 237, 17_198, 1_290, 206, 9, 215_175, 1_314, 136, 17_198, 1_290, 206, 9, 56_359, 42, 122_009, 9, 16_466, 16, 87_344, 4_537, 9, 4_717, 78_381, 6, 159_958, 7, 15, 24_480, 618, 4, 527, 22_693, 5_428, 4, 2_777, 24_480, 9_874, 4, 43_523, 594, 4, 803, 18_392, 33_189, 18, 4, 43_523, 24_447, 12_399, 100, 24_955, 83_658, 9_626, 144_057, 15, 839, 22_335, 16, 136, 24_955, 83_658, 83_479, 15, 39_102, 724, 16, 678, 645, 2_789, 1_328, 4_589, 42, 122_009, 115_774, 23, 805, 1_328, 46_876, 7, 136, 53_894, 1_940, 42_227, 41_159, 17_721, 823, 425, 4, 27_512, 98_722, 206, 136, 5_531, 4_970, 919, 17_336, 5, 2], [250_004, 20_080, 618, 83, 82_775, 47, 479, 9, 1_517, 73, 53_894, 333, 80_581, 110_117, 18_811, 5_256, 1_295, 51, 152_526, 297, 7_986, 390, 124_416, 538, 35_431, 214, 98, 15_044, 25_737, 136, 7_108, 43_701, 23, 756, 135_355, 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], [250_004, 581, 63_773, 119_455, 6, 147_797, 88_203, 7, 645, 70, 21, 3_285, 10_269, 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  :		Union[str, Any]						):
       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

       SCREAMING_SNAKE_CASE_     						=      (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})"						):
                   SCREAMING_SNAKE_CASE_     						=      self.rust_tokenizer_class.from_pretrained(_lowerCAmelCase    ,    **_lowerCAmelCase						)
                   SCREAMING_SNAKE_CASE_     						=      self.tokenizer_class.from_pretrained(_lowerCAmelCase    ,    **_lowerCAmelCase						)

                   SCREAMING_SNAKE_CASE_     						=      tempfile.mkdtemp()

                   SCREAMING_SNAKE_CASE_     						=      tokenizer_r.save_pretrained(_lowerCAmelCase						)
                   SCREAMING_SNAKE_CASE_     						=      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						)						)
                   SCREAMING_SNAKE_CASE_     						=      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
                   SCREAMING_SNAKE_CASE_     						=      tokenizer_r.from_pretrained(_lowerCAmelCase						)
                   SCREAMING_SNAKE_CASE_     						=      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
                   SCREAMING_SNAKE_CASE_     						=      tempfile.mkdtemp()

                   SCREAMING_SNAKE_CASE_     						=      tokenizer_r.save_pretrained(_lowerCAmelCase    ,    legacy_format=_lowerCAmelCase						)
                   SCREAMING_SNAKE_CASE_     						=      tokenizer_p.save_pretrained(_lowerCAmelCase						)

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

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

                   SCREAMING_SNAKE_CASE_     						=      tokenizer_r.save_pretrained(_lowerCAmelCase    ,    legacy_format=_lowerCAmelCase						)
                   SCREAMING_SNAKE_CASE_     						=      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
                   SCREAMING_SNAKE_CASE_     						=      tokenizer_r.from_pretrained(_lowerCAmelCase						)
                   SCREAMING_SNAKE_CASE_     						=      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 ):


 '''simple docstring'''







 lowercase_       =   "facebook/mbart-large-50-one-to-many-mmt"
 lowercase_       =   [
     " 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.",
 ]
 lowercase_       =   [
     "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.",
 ]
 lowercase_       =   [EN_CODE, 8_274, 127_873, 25_916, 7, 8_622, 2_071, 438, 67_485, 53, 187_895, 23, 51_712, 2]



 @classmethod
 def 				lowerCAmelCase_  (							cls  :		int						):
       SCREAMING_SNAKE_CASE_     						=      MBartaaTokenizer.from_pretrained(
           cls.checkpoint_name    ,    src_lang='en_XX'    ,    tgt_lang='ro_RO'						)
       SCREAMING_SNAKE_CASE_     						=      1
       return cls



 def 				lowerCAmelCase_  (							self  :		Any						):
       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						)
       self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['mr_IN']    ,    250_038						)



 def 				lowerCAmelCase_  (							self  :		str						):
       SCREAMING_SNAKE_CASE_     						=      self.tokenizer.batch_encode_plus(self.src_text						).input_ids[0]
       self.assertListEqual(self.expected_src_tokens    ,    _lowerCAmelCase						)



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



 def 				lowerCAmelCase_  (							self  :		Tuple						):
       SCREAMING_SNAKE_CASE_     						=      ['this is gunna be a long sentence ' * 20]
       assert isinstance(src_text[0]    ,    _lowerCAmelCase						)
       SCREAMING_SNAKE_CASE_     						=      10
       SCREAMING_SNAKE_CASE_     						=      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  :		Optional[Any]						):
       self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['<mask>', 'ar_AR']						)    ,    [250_053, 250_001]						)



 def 				lowerCAmelCase_  (							self  :		Union[str, Any]						):
       SCREAMING_SNAKE_CASE_     						=      tempfile.mkdtemp()
       SCREAMING_SNAKE_CASE_     						=      self.tokenizer.fairseq_tokens_to_ids
       self.tokenizer.save_pretrained(_lowerCAmelCase						)
       SCREAMING_SNAKE_CASE_     						=      MBartaaTokenizer.from_pretrained(_lowerCAmelCase						)
       self.assertDictEqual(new_tok.fairseq_tokens_to_ids    ,    _lowerCAmelCase						)



 @require_torch
 def 				lowerCAmelCase_  (							self  :		Tuple						):
       SCREAMING_SNAKE_CASE_     						=      self.tokenizer(self.src_text    ,    text_target=self.tgt_text    ,    padding=_lowerCAmelCase    ,    return_tensors='pt'						)
       SCREAMING_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][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  :		Union[str, Any]						):
       SCREAMING_SNAKE_CASE_     						=      self.tokenizer(
           self.src_text    ,    text_target=self.tgt_text    ,    padding=_lowerCAmelCase    ,    truncation=_lowerCAmelCase    ,    max_length=len(self.expected_src_tokens						)    ,    return_tensors='pt'    ,    )
       SCREAMING_SNAKE_CASE_     						=      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						)
       SCREAMING_SNAKE_CASE_     						=      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  :		Tuple						):
       SCREAMING_SNAKE_CASE_     						=      self.tokenizer(self.src_text    ,    padding=_lowerCAmelCase    ,    truncation=_lowerCAmelCase    ,    max_length=3    ,    return_tensors='pt'						)
       SCREAMING_SNAKE_CASE_     						=      self.tokenizer(
           text_target=self.tgt_text    ,    padding=_lowerCAmelCase    ,    truncation=_lowerCAmelCase    ,    max_length=10    ,    return_tensors='pt'						)
       SCREAMING_SNAKE_CASE_     						=      targets['input_ids']
       SCREAMING_SNAKE_CASE_     						=      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 				lowerCAmelCase_  (							self  :		Dict						):
       SCREAMING_SNAKE_CASE_     						=      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': [[250_004, 62, 3_034, 2]],
               'attention_mask': [[1, 1, 1, 1]],
               # ar_AR
               'forced_bos_token_id': 250_001,
           }    ,    )





import random
from typing import Any

def  UpperCAmelCase_							(				__UpperCAmelCase						:     list							) ->			list[Any]:
      for _ in range(len(__UpperCAmelCase							)							):
            SCREAMING_SNAKE_CASE_     						=      random.randint(0      ,      len(__UpperCAmelCase							) - 1							)
            SCREAMING_SNAKE_CASE_     						=      random.randint(0      ,      len(__UpperCAmelCase							) - 1							)
            SCREAMING_SNAKE_CASE_						,			SCREAMING_SNAKE_CASE_     						=      data[b], data[a]
      return data


if __name__ == "__main__":
   lowerCamelCase__			:       Union[str, Any]         =							[0, 1, 2, 3, 4, 5, 6, 7]
   lowerCamelCase__			:       Optional[int]         =							['python', 'says', 'hello', '!']
   print('Fisher-Yates Shuffle:')
   print('List', integers, strings)
   print('FY Shuffle', fisher_yates_shuffle(integers), fisher_yates_shuffle(strings))