


'''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


A__						:   int				=    get_tests_dir("""fixtures/test_sentencepiece.model""")

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

A__						:   int				=    250004
A__						:   Union[str, Any]				=    250020





@require_sentencepiece
@require_tokenizers
class   UpperCAmelCase_    (_UpperCAmelCase   ,						unittest.TestCase    ):





    """simple docstring"""






    lowerCamelCase    :   List[str]					=     MBartaaTokenizer
    lowerCamelCase    :   Optional[int]					=     MBartaaTokenizerFast
    lowerCamelCase    :   str					=     True
    lowerCamelCase    :   Any					=     True







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

         # We have a SentencePiece fixture for testing
         __lowerCamelCase  :      List[str]														=						MBartaaTokenizer(SCREAMING_SNAKE_CASE_     ,	src_lang='en_XX'     ,	tgt_lang='ro_RO'     ,	keep_accents=SCREAMING_SNAKE_CASE_      )
         tokenizer.save_pretrained(self.tmpdirname      )







    def  lowercase_							(				self      )							->	str:
         __lowerCamelCase  :      List[Any]														=						'<s>'
         __lowerCamelCase  :      Optional[Any]														=						0

         self.assertEqual(self.get_tokenizer()._convert_token_to_id(SCREAMING_SNAKE_CASE_      )     ,	SCREAMING_SNAKE_CASE_      )
         self.assertEqual(self.get_tokenizer()._convert_id_to_token(SCREAMING_SNAKE_CASE_      )     ,	SCREAMING_SNAKE_CASE_      )







    def  lowercase_							(				self      )							->	Optional[int]:
         __lowerCamelCase  :      Dict														=						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(SCREAMING_SNAKE_CASE_      )     ,	10_54      )







    def  lowercase_							(				self      )							->	Optional[int]:
         self.assertEqual(self.get_tokenizer().vocab_size     ,	10_54      )







    def  lowercase_							(				self      )							->	Dict:
         __lowerCamelCase  :      List[Any]														=						MBartaaTokenizer(SCREAMING_SNAKE_CASE_     ,	src_lang='en_XX'     ,	tgt_lang='ro_RO'     ,	keep_accents=SCREAMING_SNAKE_CASE_      )

         __lowerCamelCase  :      Tuple														=						tokenizer.tokenize('This is a test'      )
         self.assertListEqual(SCREAMING_SNAKE_CASE_     ,	['▁This', '▁is', '▁a', '▁t', 'est']      )

         self.assertListEqual(
             tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_      )     ,	[value + tokenizer.fairseq_offset for value in [2_85, 46, 10, 1_70, 3_82]]     ,	)

         __lowerCamelCase  :      int														=						tokenizer.tokenize('I was born in 92000, and this is falsé.'      )
         self.assertListEqual(
             SCREAMING_SNAKE_CASE_     ,	[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', '.']     ,	)
         __lowerCamelCase  :      List[str]														=						tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_      )
         self.assertListEqual(
             SCREAMING_SNAKE_CASE_     ,	[
                 value + tokenizer.fairseq_offset
                 for value in [8, 21, 84, 55, 24, 19, 7, 2, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 2, 4]
             ]     ,	)

         __lowerCamelCase  :      Tuple														=						tokenizer.convert_ids_to_tokens(SCREAMING_SNAKE_CASE_      )
         self.assertListEqual(
             SCREAMING_SNAKE_CASE_     ,	[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  lowercase_							(				self      )							->	int:
         # fmt: off
         __lowerCamelCase  :      str														=						{'input_ids': [[25_00_04, 1_10_62, 8_27_72, 7, 15, 8_27_72, 5_38, 5_15_29, 2_37, 1_71_98, 12_90, 2_06, 9, 21_51_75, 13_14, 1_36, 1_71_98, 12_90, 2_06, 9, 5_63_59, 42, 12_20_09, 9, 1_64_66, 16, 8_73_44, 45_37, 9, 47_17, 7_83_81, 6, 15_99_58, 7, 15, 2_44_80, 6_18, 4, 5_27, 2_26_93, 54_28, 4, 27_77, 2_44_80, 98_74, 4, 4_35_23, 5_94, 4, 8_03, 1_83_92, 3_31_89, 18, 4, 4_35_23, 2_44_47, 1_23_99, 1_00, 2_49_55, 8_36_58, 96_26, 14_40_57, 15, 8_39, 2_23_35, 16, 1_36, 2_49_55, 8_36_58, 8_34_79, 15, 3_91_02, 7_24, 16, 6_78, 6_45, 27_89, 13_28, 45_89, 42, 12_20_09, 11_57_74, 23, 8_05, 13_28, 4_68_76, 7, 1_36, 5_38_94, 19_40, 4_22_27, 4_11_59, 1_77_21, 8_23, 4_25, 4, 2_75_12, 9_87_22, 2_06, 1_36, 55_31, 49_70, 9_19, 1_73_36, 5, 2], [25_00_04, 2_00_80, 6_18, 83, 8_27_75, 47, 4_79, 9, 15_17, 73, 5_38_94, 3_33, 8_05_81, 11_01_17, 1_88_11, 52_56, 12_95, 51, 15_25_26, 2_97, 79_86, 3_90, 12_44_16, 5_38, 3_54_31, 2_14, 98, 1_50_44, 2_57_37, 1_36, 71_08, 4_37_01, 23, 7_56, 13_53_55, 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], [25_00_04, 5_81, 6_37_73, 11_94_55, 6, 14_77_97, 8_82_03, 7, 6_45, 70, 21, 32_85, 1_02_69, 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=SCREAMING_SNAKE_CASE_     ,	model_name='facebook/mbart-large-50'     ,	revision='d3913889c59cd5c9e456b269c376325eabad57e2'     ,	)







    def  lowercase_							(				self      )							->	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

         __lowerCamelCase  :      List[Any]														=						(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})'      ):
                   __lowerCamelCase  :      List[str]														=						self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE_     ,	**SCREAMING_SNAKE_CASE_      )
                   __lowerCamelCase  :      Any														=						self.tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE_     ,	**SCREAMING_SNAKE_CASE_      )

                   __lowerCamelCase  :      str														=						tempfile.mkdtemp()

                   __lowerCamelCase  :      Dict														=						tokenizer_r.save_pretrained(SCREAMING_SNAKE_CASE_      )
                   __lowerCamelCase  :      List[Any]														=						tokenizer_p.save_pretrained(SCREAMING_SNAKE_CASE_      )

                   # 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      )      )
                   __lowerCamelCase  :      Union[str, Any]														=						tuple(f for f in tokenizer_r_files if 'tokenizer.json' not in f      )
                   self.assertSequenceEqual(SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_      )

                   # Checks everything loads correctly in the same way
                   __lowerCamelCase  :      Optional[int]														=						tokenizer_r.from_pretrained(SCREAMING_SNAKE_CASE_      )
                   __lowerCamelCase  :      Union[str, Any]														=						tokenizer_p.from_pretrained(SCREAMING_SNAKE_CASE_      )

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

                   shutil.rmtree(SCREAMING_SNAKE_CASE_      )

                   # Save tokenizer rust, legacy_format=True
                   __lowerCamelCase  :      str														=						tempfile.mkdtemp()

                   __lowerCamelCase  :      Optional[Any]														=						tokenizer_r.save_pretrained(SCREAMING_SNAKE_CASE_     ,	legacy_format=SCREAMING_SNAKE_CASE_      )
                   __lowerCamelCase  :      List[Any]														=						tokenizer_p.save_pretrained(SCREAMING_SNAKE_CASE_      )

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

                   # Checks everything loads correctly in the same way
                   __lowerCamelCase  :      Tuple														=						tokenizer_r.from_pretrained(SCREAMING_SNAKE_CASE_      )
                   __lowerCamelCase  :      Any														=						tokenizer_p.from_pretrained(SCREAMING_SNAKE_CASE_      )

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

                   shutil.rmtree(SCREAMING_SNAKE_CASE_      )

                   # Save tokenizer rust, legacy_format=False
                   __lowerCamelCase  :      int														=						tempfile.mkdtemp()

                   __lowerCamelCase  :      str														=						tokenizer_r.save_pretrained(SCREAMING_SNAKE_CASE_     ,	legacy_format=SCREAMING_SNAKE_CASE_      )
                   __lowerCamelCase  :      Union[str, Any]														=						tokenizer_p.save_pretrained(SCREAMING_SNAKE_CASE_      )

                   # 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
                   __lowerCamelCase  :      Tuple														=						tokenizer_r.from_pretrained(SCREAMING_SNAKE_CASE_      )
                   __lowerCamelCase  :      Tuple														=						tokenizer_p.from_pretrained(SCREAMING_SNAKE_CASE_      )

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

                   shutil.rmtree(SCREAMING_SNAKE_CASE_      )







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





    """simple docstring"""






    lowerCamelCase    :   List[str]					=     'facebook/mbart-large-50-one-to-many-mmt'
    lowerCamelCase    :   Dict					=     [
        ' 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    :   List[Any]					=     [
        '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    :   List[Any]					=     [EN_CODE, 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]







    @classmethod
    def  lowercase_							(				cls      )							->	str:
         __lowerCamelCase  :      MBartaaTokenizer														=						MBartaaTokenizer.from_pretrained(
             cls.checkpoint_name     ,	src_lang='en_XX'     ,	tgt_lang='ro_RO'      )
         __lowerCamelCase  :      List[Any]														=						1
         return cls







    def  lowercase_							(				self      )							->	str:
         self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['ar_AR']     ,	25_00_01      )
         self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['en_EN']     ,	25_00_04      )
         self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['ro_RO']     ,	25_00_20      )
         self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['mr_IN']     ,	25_00_38      )







    def  lowercase_							(				self      )							->	Any:
         __lowerCamelCase  :      str														=						self.tokenizer.batch_encode_plus(self.src_text      ).input_ids[0]
         self.assertListEqual(self.expected_src_tokens     ,	SCREAMING_SNAKE_CASE_      )







    def  lowercase_							(				self      )							->	Dict:
         self.assertIn(SCREAMING_SNAKE_CASE_     ,	self.tokenizer.all_special_ids      )
         __lowerCamelCase  :      List[str]														=						[RO_CODE, 8_84, 90_19, 96, 9, 9_16, 8_67_92, 36, 1_87_43, 1_55_96, 5, 2]
         __lowerCamelCase  :      Union[str, Any]														=						self.tokenizer.decode(SCREAMING_SNAKE_CASE_     ,	skip_special_tokens=SCREAMING_SNAKE_CASE_      )
         __lowerCamelCase  :      Union[str, Any]														=						self.tokenizer.decode(generated_ids[1:]     ,	skip_special_tokens=SCREAMING_SNAKE_CASE_      )
         self.assertEqual(SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_      )
         self.assertNotIn(self.tokenizer.eos_token     ,	SCREAMING_SNAKE_CASE_      )







    def  lowercase_							(				self      )							->	Dict:
         __lowerCamelCase  :      Optional[Any]														=						['this is gunna be a long sentence ' * 20]
         assert isinstance(src_text[0]     ,	SCREAMING_SNAKE_CASE_      )
         __lowerCamelCase  :      Any														=						10
         __lowerCamelCase  :      Union[str, Any]														=						self.tokenizer(SCREAMING_SNAKE_CASE_     ,	max_length=SCREAMING_SNAKE_CASE_     ,	truncation=SCREAMING_SNAKE_CASE_      ).input_ids[0]
         self.assertEqual(ids[0]     ,	SCREAMING_SNAKE_CASE_      )
         self.assertEqual(ids[-1]     ,	2      )
         self.assertEqual(len(SCREAMING_SNAKE_CASE_      )     ,	SCREAMING_SNAKE_CASE_      )







    def  lowercase_							(				self      )							->	Optional[int]:
         self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['<mask>', 'ar_AR']      )     ,	[25_00_53, 25_00_01]      )







    def  lowercase_							(				self      )							->	Optional[int]:
         __lowerCamelCase  :      str														=						tempfile.mkdtemp()
         __lowerCamelCase  :      List[str]														=						self.tokenizer.fairseq_tokens_to_ids
         self.tokenizer.save_pretrained(SCREAMING_SNAKE_CASE_      )
         __lowerCamelCase  :      Optional[Any]														=						MBartaaTokenizer.from_pretrained(SCREAMING_SNAKE_CASE_      )
         self.assertDictEqual(new_tok.fairseq_tokens_to_ids     ,	SCREAMING_SNAKE_CASE_      )







    @require_torch
    def  lowercase_							(				self      )							->	Optional[int]:
         __lowerCamelCase  :      Tuple														=						self.tokenizer(self.src_text     ,	text_target=self.tgt_text     ,	padding=SCREAMING_SNAKE_CASE_     ,	return_tensors='pt'      )
         __lowerCamelCase  :      Any														=						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  lowercase_							(				self      )							->	List[Any]:
         __lowerCamelCase  :      Tuple														=						self.tokenizer(
             self.src_text     ,	text_target=self.tgt_text     ,	padding=SCREAMING_SNAKE_CASE_     ,	truncation=SCREAMING_SNAKE_CASE_     ,	max_length=len(self.expected_src_tokens      )     ,	return_tensors='pt'     ,	)
         __lowerCamelCase  :      Tuple														=						shift_tokens_right(batch['labels']     ,	self.tokenizer.pad_token_id      )

         self.assertIsInstance(SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_      )

         self.assertEqual((2, 14)     ,	batch.input_ids.shape      )
         self.assertEqual((2, 14)     ,	batch.attention_mask.shape      )
         __lowerCamelCase  :      List[str]														=						batch.input_ids.tolist()[0]
         self.assertListEqual(self.expected_src_tokens     ,	SCREAMING_SNAKE_CASE_      )
         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  lowercase_							(				self      )							->	Tuple:
         __lowerCamelCase  :      Dict														=						self.tokenizer(self.src_text     ,	padding=SCREAMING_SNAKE_CASE_     ,	truncation=SCREAMING_SNAKE_CASE_     ,	max_length=3     ,	return_tensors='pt'      )
         __lowerCamelCase  :      Optional[Any]														=						self.tokenizer(
             text_target=self.tgt_text     ,	padding=SCREAMING_SNAKE_CASE_     ,	truncation=SCREAMING_SNAKE_CASE_     ,	max_length=10     ,	return_tensors='pt'      )
         __lowerCamelCase  :      Optional[Any]														=						targets['input_ids']
         __lowerCamelCase  :      List[str]														=						shift_tokens_right(SCREAMING_SNAKE_CASE_     ,	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      )							->	int:
         __lowerCamelCase  :      List[str]														=						self.tokenizer._build_translation_inputs(
             'A test'     ,	return_tensors='pt'     ,	src_lang='en_XX'     ,	tgt_lang='ar_AR'      )

         self.assertEqual(
             nested_simplify(SCREAMING_SNAKE_CASE_      )     ,	{
                 # en_XX, A, test, EOS
                 'input_ids': [[25_00_04, 62, 30_34, 2]],
                 'attention_mask': [[1, 1, 1, 1]],
                 # ar_AR
                 'forced_bos_token_id': 25_00_01,
             }     ,	)










'''simple docstring'''



import argparse


A__						:   Optional[Any]				=    """docs/source/_static/js/custom.js"""



def      UpperCAmelCase__   (      UpperCAmelCase_       :							Optional[int]				)	->						int:
     with open(UpperCAmelCase_ ,       encoding='utf-8' ,       newline='\n'				) as f:
          __lowerCamelCase  :      Dict														=						f.readlines()
     __lowerCamelCase  :      Tuple														=						0

     # First let's put the right version
     while not lines[index].startswith('const stableVersion ='				):
          index += 1
     __lowerCamelCase  :      Dict														=						F'const stableVersion = "v{version}"\n'

     # Then update the dictionary
     while not lines[index].startswith('const versionMapping = {'				):
          index += 1

     # We go until the end
     while not lines[index].startswith('}'				):
          index += 1
     # We add the new version at the end
     lines[index - 1] += F'    "v{version}": "v{version}",\n'

     with open(UpperCAmelCase_ ,       'w' ,       encoding='utf-8' ,       newline='\n'				) as f:
          f.writelines(UpperCAmelCase_				)


if __name__ == "__main__":
      A__						:   str				=    argparse.ArgumentParser()
      parser.add_argument("""--version""", help="""Release version.""")
      A__						:   Any				=    parser.parse_args()
      update_custom_js(args.version)






