



"""simple docstring"""





import warnings

from ...utils import logging
from .image_processing_flava import FlavaImageProcessor


lowerCamelCase       	=						logging.get_logger(__name__)
class 				lowercase__       (   SCREAMING_SNAKE_CASE				):







       '''simple docstring'''


       def __init__(							self      :  Union[str, Any]		,    *_UpperCAmelCase      :  List[Any]		,    **_UpperCAmelCase      :  Union[str, Any]   )			->						None:


             '''simple docstring'''




             warnings.warn(
                 "The class FlavaFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
                 " use FlavaImageProcessor instead."		,    _UpperCAmelCase		,    )
             super().__init__(*_UpperCAmelCase		,    **_UpperCAmelCase   )









"""simple docstring"""





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


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


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

lowerCamelCase       	=						250_004
lowerCamelCase       	=						250_020
@require_sentencepiece
@require_tokenizers
class 				lowercase__       (   SCREAMING_SNAKE_CASE    , unittest.TestCase				):







       '''simple docstring'''


       UpperCamelCase						=					MBartTokenizer
       UpperCamelCase						=					MBartTokenizerFast
       UpperCamelCase						=					True
       UpperCamelCase						=					True



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


             '''simple docstring'''




             super().setUp()

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



       def 					lowercase__    (							self      :  Any   )			->						int:


             '''simple docstring'''




             UpperCAmelCase_      			=							MBartTokenizer(_UpperCAmelCase		,    keep_accents=_UpperCAmelCase   )

             UpperCAmelCase_      			=							tokenizer.tokenize("This is a test"   )
             self.assertListEqual(_UpperCAmelCase		,    ["▁This", "▁is", "▁a", "▁t", "est"]   )

             self.assertListEqual(
                 tokenizer.convert_tokens_to_ids(_UpperCAmelCase   )		,    [value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]		,    )

             UpperCAmelCase_      			=							tokenizer.tokenize("I was born in 92000, and this is falsé."   )
             self.assertListEqual(
                 _UpperCAmelCase		,    [
                     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",
                     ".",
                 ]		,    )
             UpperCAmelCase_      			=							tokenizer.convert_tokens_to_ids(_UpperCAmelCase   )
             self.assertListEqual(
                 _UpperCAmelCase		,    [
                     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 ^
                 ]		,    )

             UpperCAmelCase_      			=							tokenizer.convert_ids_to_tokens(_UpperCAmelCase   )
             self.assertListEqual(
                 _UpperCAmelCase		,    [
                     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      :  Optional[Any]   )			->						Dict:


             '''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

             UpperCAmelCase_      			=							(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})"""   ):
                         UpperCAmelCase_      			=							self.rust_tokenizer_class.from_pretrained(_UpperCAmelCase		,    **_UpperCAmelCase   )
                         UpperCAmelCase_      			=							self.tokenizer_class.from_pretrained(_UpperCAmelCase		,    **_UpperCAmelCase   )

                         UpperCAmelCase_      			=							tempfile.mkdtemp()

                         UpperCAmelCase_      			=							tokenizer_r.save_pretrained(_UpperCAmelCase   )
                         UpperCAmelCase_      			=							tokenizer_p.save_pretrained(_UpperCAmelCase   )

                         # 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   )   )
                         UpperCAmelCase_      			=							tuple(f for f in tokenizer_r_files if "tokenizer.json" not in f   )
                         self.assertSequenceEqual(_UpperCAmelCase		,    _UpperCAmelCase   )

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

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

                         shutil.rmtree(_UpperCAmelCase   )

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

                         UpperCAmelCase_      			=							tokenizer_r.save_pretrained(_UpperCAmelCase		,    legacy_format=_UpperCAmelCase   )
                         UpperCAmelCase_      			=							tokenizer_p.save_pretrained(_UpperCAmelCase   )

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

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

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

                         shutil.rmtree(_UpperCAmelCase   )

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

                         UpperCAmelCase_      			=							tokenizer_r.save_pretrained(_UpperCAmelCase		,    legacy_format=_UpperCAmelCase   )
                         UpperCAmelCase_      			=							tokenizer_p.save_pretrained(_UpperCAmelCase   )

                         # 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
                         UpperCAmelCase_      			=							tokenizer_r.from_pretrained(_UpperCAmelCase   )
                         UpperCAmelCase_      			=							tokenizer_p.from_pretrained(_UpperCAmelCase   )

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

                         shutil.rmtree(_UpperCAmelCase   )



@require_torch
@require_sentencepiece
@require_tokenizers
class 				lowercase__       (   unittest.TestCase				):







       '''simple docstring'''


       UpperCamelCase						=					'''facebook/mbart-large-en-ro'''
       UpperCamelCase						=					[
           ''' 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						=					[
           '''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						=					[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, EN_CODE]



       @classmethod
       def 					lowercase__    (							cls      :  Optional[Any]   )			->						List[Any]:


             '''simple docstring'''




             UpperCAmelCase_      			=							MBartTokenizer.from_pretrained(
                 cls.checkpoint_name		,    src_lang="en_XX"		,    tgt_lang="ro_RO"   )
             UpperCAmelCase_      			=							1
             return cls



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


             '''simple docstring'''




             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 					lowercase__    (							self      :  Any   )			->						Tuple:


             '''simple docstring'''




             UpperCAmelCase_      			=							self.tokenizer.batch_encode_plus(self.src_text   ).input_ids[0]
             self.assertListEqual(self.expected_src_tokens		,    _UpperCAmelCase   )



       def 					lowercase__    (							self      :  Any   )			->						str:


             '''simple docstring'''




             self.assertIn(_UpperCAmelCase		,    self.tokenizer.all_special_ids   )
             UpperCAmelCase_      			=							[RO_CODE, 884, 9019, 96, 9, 916, 86792, 36, 18743, 15596, 5, 2]
             UpperCAmelCase_      			=							self.tokenizer.decode(_UpperCAmelCase		,    skip_special_tokens=_UpperCAmelCase   )
             UpperCAmelCase_      			=							self.tokenizer.decode(generated_ids[1:]		,    skip_special_tokens=_UpperCAmelCase   )
             self.assertEqual(_UpperCAmelCase		,    _UpperCAmelCase   )
             self.assertNotIn(self.tokenizer.eos_token		,    _UpperCAmelCase   )



       def 					lowercase__    (							self      :  Tuple   )			->						Any:


             '''simple docstring'''




             UpperCAmelCase_      			=							["this is gunna be a long sentence " * 20]
             assert isinstance(src_text[0]		,    _UpperCAmelCase   )
             UpperCAmelCase_      			=							10
             UpperCAmelCase_      			=							self.tokenizer(_UpperCAmelCase		,    max_length=_UpperCAmelCase		,    truncation=_UpperCAmelCase   ).input_ids[0]
             self.assertEqual(ids[-2]		,    2   )
             self.assertEqual(ids[-1]		,    _UpperCAmelCase   )
             self.assertEqual(len(_UpperCAmelCase   )		,    _UpperCAmelCase   )



       def 					lowercase__    (							self      :  int   )			->						int:


             '''simple docstring'''




             self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["<mask>", "ar_AR"]   )		,    [250026, 250001]   )



       def 					lowercase__    (							self      :  Any   )			->						Any:


             '''simple docstring'''




             UpperCAmelCase_      			=							tempfile.mkdtemp()
             UpperCAmelCase_      			=							self.tokenizer.fairseq_tokens_to_ids
             self.tokenizer.save_pretrained(_UpperCAmelCase   )
             UpperCAmelCase_      			=							MBartTokenizer.from_pretrained(_UpperCAmelCase   )
             self.assertDictEqual(new_tok.fairseq_tokens_to_ids		,    _UpperCAmelCase   )



       @require_torch
       def 					lowercase__    (							self      :  List[Any]   )			->						int:


             '''simple docstring'''




             UpperCAmelCase_      			=							self.tokenizer(self.src_text		,    text_target=self.tgt_text		,    padding=_UpperCAmelCase		,    return_tensors="pt"   )
             UpperCAmelCase_      			=							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   )			->						Optional[int]:


             '''simple docstring'''




             UpperCAmelCase_      			=							self.tokenizer(
                 self.src_text		,    text_target=self.tgt_text		,    padding=_UpperCAmelCase		,    truncation=_UpperCAmelCase		,    max_length=len(self.expected_src_tokens   )		,    return_tensors="pt"		,    )

             UpperCAmelCase_      			=							shift_tokens_right(batch["labels"]		,    self.tokenizer.pad_token_id   )

             self.assertIsInstance(_UpperCAmelCase		,    _UpperCAmelCase   )

             self.assertEqual((2, 14)		,    batch.input_ids.shape   )
             self.assertEqual((2, 14)		,    batch.attention_mask.shape   )
             UpperCAmelCase_      			=							batch.input_ids.tolist()[0]
             self.assertListEqual(self.expected_src_tokens		,    _UpperCAmelCase   )
             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      :  Union[str, Any]   )			->						Union[str, Any]:


             '''simple docstring'''




             UpperCAmelCase_      			=							self.tokenizer(self.src_text		,    padding=_UpperCAmelCase		,    truncation=_UpperCAmelCase		,    max_length=3		,    return_tensors="pt"   )
             UpperCAmelCase_      			=							self.tokenizer(
                 text_target=self.tgt_text		,    padding=_UpperCAmelCase		,    truncation=_UpperCAmelCase		,    max_length=10		,    return_tensors="pt"   )
             UpperCAmelCase_      			=							targets["input_ids"]
             UpperCAmelCase_      			=							shift_tokens_right(_UpperCAmelCase		,    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      :  Optional[int]   )			->						Any:


             '''simple docstring'''




             UpperCAmelCase_      			=							self.tokenizer._build_translation_inputs(
                 "A test"		,    return_tensors="pt"		,    src_lang="en_XX"		,    tgt_lang="ar_AR"   )

             self.assertEqual(
                 nested_simplify(_UpperCAmelCase   )		,    {
                     # A, test, EOS, en_XX
                     "input_ids": [[62, 3034, 2, 250004]],
                     "attention_mask": [[1, 1, 1, 1]],
                     # ar_AR
                     "forced_bos_token_id": 250001,
                 }		,    )




