
import json
import os
import unittest
from typing import Tuple

from transformers import WavaVecaPhonemeCTCTokenizer
from transformers.models.wavaveca.tokenization_wavaveca import VOCAB_FILES_NAMES
from transformers.models.wavaveca_phoneme.tokenization_wavaveca_phoneme import WavaVecaPhonemeCTCTokenizerOutput
from transformers.testing_utils import require_phonemizer

from ...test_tokenization_common import TokenizerTesterMixin



@require_phonemizer
class 		UpperCamelCase__  (	__lowercase   ,unittest.TestCase   ):
   _SCREAMING_SNAKE_CASE				:							Optional[int]     	=				WavaVecaPhonemeCTCTokenizer
   _SCREAMING_SNAKE_CASE				:							Optional[int]     	=				False
   def 				lowerCAmelCase      (self			: Tuple       ):
    super().setUp()

    __a			:  Union[str, Any]		    =  (
        '''<s> <pad> </s> <unk> n s t ə l a i k d m ɛ ɾ e ɪ p o ɐ z ð f j v b ɹ ʁ ʊ iː r w ʌ u ɡ æ aɪ ʃ h ɔ ɑː '''
        '''ŋ ɚ eɪ β uː y ɑ̃ oʊ ᵻ eː θ aʊ ts oː ɔ̃ ɣ ɜ ɑ dʒ əl x ɜː ç ʒ tʃ ɔː ɑːɹ ɛ̃ ʎ ɔːɹ ʋ aː ɕ œ ø oːɹ ɲ yː '''
        '''ʔ iə i5 s. tɕ ?? nʲ ɛː œ̃ ɭ ɔø ʑ tʲ ɨ ɛɹ ts. rʲ ɪɹ ɭʲ i.5 ɔɪ q sʲ u5 ʊɹ iɜ a5 iɛ5 øː ʕ ja əɜ th ɑ5 '''
        '''oɪ dʲ ə5 tɕh ts.h mʲ ɯ dʑ vʲ e̞ tʃʲ ei5 o5 onɡ5 ɑu5 iɑ5 ai5 aɪɚ kh ə1 ʐ i2 ʉ ħ t[ aɪə ʲ ju ə2 u2 oɜ '''
        '''pː iɛɜ ou5 y5 uɜ tː uo5 d[ uoɜ tsh ɑɜ ɵ i̪5 uei5 ɟ aɜ ɑɨ i.ɜ eʊ o2 ɐ̃ ä pʲ kʲ n̩ ɒ ph ɑu2 uɨ əɪ ɫ ɬ '''
        '''yɜ bʲ ɑ2 s̪ aiɜ χ ɐ̃ʊ̃ 1 ə4 yæɜ a2 ɨː t̪ iouɜ ũ onɡɜ aɨ iɛ2 ɔɨ ɑuɜ o̞ ei2 iou2 c kː y2 ɖ oe dˤ yɛɜ '''
        '''əʊ S ɡʲ onɡ2 u" eiɜ ʈ ɯᵝ iou5 dZ r̝̊ i.2 tS s^ ʝ yə5 iɑɜ uə5 pf ɨu iɑ2 ou2 ər2 fʲ ai2 r̝ uəɜ ɳ əɨ '''
        '''ua5 uɪ ɽ bː yu5 uo2 yɛ5 l̩ ɻ ərɜ ʂ i̪2 ouɜ uaɜ a. a.ː yæ5 dː r̩ ee ɪu ər5 i̪ ɜ æi u: i.ː t^ o1 ɪ^ '''
        '''ai ueiɜ æː ɛɪ eə i. ɴ ie ua2 ɑ1 o4 tʃː o: ɑ: u1 N i̪1 au yæ2 u. qː yəɜ y: kʰ tʃʰ iʊ sx õ uo tʰ '''
        '''uai5 bʰ u.ː uə2 ʊə d^ s̪ː yiɜ dʰ r. oe: i1 ɟː yu2 nʲʲ i̪4 uei2 tsʲ ɸ ĩ ɑ4 t̪ː eɑ u4 e: tsː ʈʰ ɡʰ '''
        '''ɯɯ dʒʲ ʂʲ X ɵː uaiɜ tɕʲ ã t^ː ẽː yɛ2 cː i.1 ɛʊ dˤdˤ dʒː i4 ɡː yi ɕʲ ɟʰ pʰ dʑʲ yuɜ ua1 ua4 æiː ɐɐ '''
        '''ui iou1 ʊː a1 iou4 cʰ iɛ1 yə2 ɖʰ ẽ ʒʲ ää ər4 iːː ɪː iɑ1 ər1 œː øi ɪuː cʰcʰ əː1 iː1 ũ kʰː o̞o̞ xʲ '''
        '''ou1 iɛ4 e̞e̞ y1 dzː dʲʲ dʰː ɯᵝɯᵝ lː uo1 i.4 i: yɛ5ʲ a4'''
    ).split(''' '''       )
    __a			:  Union[str, Any]		    =  dict(zip(snake_case_ ,    range(len(snake_case_       )       )       )       )

    __a			:  int		    =  {'''pad_token''': '''<pad>''', '''unk_token''': '''<unk>''', '''bos_token''': '''<s>''', '''eos_token''': '''</s>'''}

    __a			:  Union[str, Any]		    =  os.path.join(self.tmpdirname ,    VOCAB_FILES_NAMES['''vocab_file''']       )
    with open(self.vocab_file ,    '''w''' ,    encoding='''utf-8'''       ) as fp:
     fp.write(json.dumps(snake_case_       ) + '''\n'''       )
   def 				lowerCAmelCase      (self			: int ,    snake_case_			: Tuple ,    snake_case_			: Tuple=False ,    snake_case_			: str=2_0 ,    snake_case_			: Tuple=5       ):
    __a			:  List[str]		    =  [(i, tokenizer.decode([i] ,    clean_up_tokenization_spaces=snake_case_       )) for i in range(len(snake_case_       )       )]
    __a			:  int		    =  list(filter(lambda snake_case_       : [t[0]] == tokenizer.encode(t[1] ,    do_phonemize=snake_case_       ) ,    snake_case_       )       )
    if max_length is not None and len(snake_case_       ) > max_length:
     __a			:  int		    =  toks[:max_length]
    if min_length is not None and len(snake_case_       ) < min_length and len(snake_case_       ) > 0:
     while len(snake_case_       ) < min_length:
      __a			:  List[str]		    =  toks + toks
        # toks_str = [t[1] for t in toks]
    __a			:  Tuple		    =  [t[0] for t in toks]

    # Ensure consistency
    __a			:  Dict		    =  tokenizer.decode(snake_case_ ,    clean_up_tokenization_spaces=snake_case_       )
    if " " not in output_txt and len(snake_case_       ) > 1:
     __a			:  Optional[int]		    =  (
         tokenizer.decode([toks_ids[0]] ,    clean_up_tokenization_spaces=snake_case_       )
         + ''' '''
         + tokenizer.decode(toks_ids[1:] ,    clean_up_tokenization_spaces=snake_case_       )
     )
    if with_prefix_space:
     __a			:  Tuple		    =  ''' ''' + output_txt
    __a			:  Union[str, Any]		    =  tokenizer.encode(snake_case_ ,    add_special_tokens=snake_case_       )
    return output_txt, output_ids
   def 				lowerCAmelCase      (self			: List[str] ,    **snake_case_			: List[Any]       ):
    kwargs.update(self.special_tokens_map       )
    return WavaVecaPhonemeCTCTokenizer.from_pretrained(self.tmpdirname ,    **snake_case_       )
   def 				lowerCAmelCase      (self			: Tuple       ):
    __a			:  Optional[Any]		    =  self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft'''       )

    # check adding a single token
    tokenizer.add_tokens('''xxx'''       )
    __a			:  Optional[Any]		    =  tokenizer('''m xxx ɪ''' ,    do_phonemize=snake_case_       ).input_ids
    self.assertEqual(snake_case_ ,    [1_3, 3_9_2, 1_7]       )  # xxx should be last token

    tokenizer.add_tokens(['''aaa''', '''bbb''', '''ccc''']       )
    __a			:  Union[str, Any]		    =  tokenizer('''m aaa ɪ ccc''' ,    do_phonemize=snake_case_       ).input_ids
    self.assertEqual(snake_case_ ,    [1_3, 3_9_3, 1_7, 3_9_5]       )  # aaa and ccc should be after xxx and 2 after aaa

    __a			:  Any		    =  tokenizer('''maɪ c''' ,    do_phonemize=snake_case_       ).input_ids
    self.assertEqual(snake_case_ ,    [3, 2_0_0]       )  # mai should be <unk> (=3)
   def 				lowerCAmelCase      (self			: Optional[int]       ):
    __a			:  int		    =  self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft'''       )

    __a			:  Optional[Any]		    =  '''Hello how are you'''
    __a			:  List[Any]		    =  tokenizer.phonemize(snake_case_ ,    phonemizer_lang='''en-us'''       )
    self.assertEqual(snake_case_ ,    '''h ə l oʊ h aʊ ɑːɹ j uː'''       )
   def 				lowerCAmelCase      (self			: Optional[int]       ):
    __a			:  Dict		    =  self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft'''       )

    __a			:  Tuple		    =  '''Hello how are you'''
    __a			:  Any		    =  tokenizer.phonemize(snake_case_ ,    phonemizer_lang='''en-us'''       )
    self.assertEqual(tokenizer(snake_case_       ).input_ids ,    tokenizer(snake_case_ ,    do_phonemize=snake_case_       ).input_ids       )
   def 				lowerCAmelCase      (self			: Optional[Any]       ):
    __a			:  Dict		    =  self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft'''       )
    __a			:  Any		    =  '''Hello how are you'''
    __a			:  int		    =  tokenizer.phonemize(snake_case_ ,    phonemizer_lang='''en-us'''       )

    __a			:  Dict		    =  tokenizer.decode(tokenizer(snake_case_       ).input_ids       )

    self.assertEqual(snake_case_ ,    snake_case_       )
   def 				lowerCAmelCase      (self			: Tuple       ):
    __a			:  str		    =  self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft'''       )

    __a			:  Tuple		    =  [
        [1_1, 5, 1_5, tokenizer.pad_token_id, 1_5, 8, 9_8],
        [2_4, 2_2, 5, 2_4, 2_2, 5, 7_7],
    ]
    __a			:  List[Any]		    =  tokenizer.decode(sample_ids[0]       )
    __a			:  Optional[Any]		    =  tokenizer.batch_decode(snake_case_       )
    self.assertEqual(snake_case_ ,    batch_tokens[0]       )
    self.assertEqual(snake_case_ ,    ['''k s ɾ ɾ l ɭʲ''', '''j ð s j ð s oːɹ''']       )
   def 				lowerCAmelCase      (self			: Optional[Any]       ):
    __a			:  int		    =  self.tokenizer_class.from_pretrained(
        '''facebook/wav2vec2-lv-60-espeak-cv-ft''' ,    word_delimiter_token='''|'''       )
    tokenizer.add_tokens('''|'''       )

    __a			:  Any		    =  '''Hello how are you'''
    __a			:  List[Any]		    =  tokenizer.phonemize(snake_case_ ,    phonemizer_lang='''en-us'''       )
    self.assertEqual(snake_case_ ,    '''h ə l oʊ | h aʊ | ɑːɹ | j uː |'''       )
   def 				lowerCAmelCase      (self			: Union[str, Any]       ):
    __a			:  Any		    =  self.tokenizer_class.from_pretrained(
        '''facebook/wav2vec2-lv-60-espeak-cv-ft''' ,    word_delimiter_token='''|'''       )
    tokenizer.add_tokens('''|'''       )

    __a			:  Optional[Any]		    =  '''Hello how are you'''
    __a			:  Optional[Any]		    =  tokenizer.phonemize(snake_case_ ,    phonemizer_lang='''en-us'''       )
    self.assertEqual(tokenizer(snake_case_       ).input_ids ,    tokenizer(snake_case_ ,    do_phonemize=snake_case_       ).input_ids       )
   def 				lowerCAmelCase      (self			: Any       ):
    __a			:  int		    =  self.tokenizer_class.from_pretrained(
        '''facebook/wav2vec2-lv-60-espeak-cv-ft''' ,    word_delimiter_token='''|'''       )
    tokenizer.add_tokens('''|'''       )

    # fmt: off
    __a			:  int		    =  [
        [1_1, 5, 1_5, tokenizer.pad_token_id, tokenizer.word_delimiter_token_id, 1_5, 8, tokenizer.word_delimiter_token_id, 9_8],
        [tokenizer.word_delimiter_token_id, 2_4, 2_2, tokenizer.word_delimiter_token_id, 5, 2_4, 2_2, 5, 7_7],
    ]
    # fmt: on

    # decode with word_del_token filter
    __a			:  Optional[int]		    =  tokenizer.decode(sample_ids[0]       )
    __a			:  List[Any]		    =  tokenizer.batch_decode(snake_case_       )
    self.assertEqual(snake_case_ ,    batch_tokens[0]       )
    self.assertEqual(snake_case_ ,    ['''k s ɾ ɾ l ɭʲ''', '''j ð s j ð s oːɹ''']       )

    # decode with no word_del_token filter
    __a			:  Optional[Any]		    =  tokenizer.decode(sample_ids[0] ,    filter_word_delimiter_token=snake_case_       )
    __a			:  List[str]		    =  tokenizer.batch_decode(snake_case_ ,    filter_word_delimiter_token=snake_case_       )
    self.assertEqual(snake_case_ ,    batch_tokens[0]       )
    self.assertEqual(snake_case_ ,    ['''k s ɾ | ɾ l | ɭʲ''', '''| j ð | s j ð s oːɹ''']       )
   def 				lowerCAmelCase      (self			: Optional[Any]       ):
    __a			:  List[Any]		    =  self.tokenizer_class.from_pretrained(
        '''facebook/wav2vec2-lv-60-espeak-cv-ft''' ,    word_delimiter_token='''|'''       )
    tokenizer.add_tokens('''|'''       )

    __a			:  Union[str, Any]		    =  '''Hello how are you'''
    __a			:  List[str]		    =  tokenizer.phonemize(snake_case_ ,    phonemizer_lang='''en-us'''       )

    __a			:  str		    =  tokenizer.decode(tokenizer(snake_case_       ).input_ids ,    filter_word_delimiter_token=snake_case_       )

    self.assertEqual(snake_case_ ,    snake_case_       )
   def 				lowerCAmelCase      (self			: int       ):
    __a			:  Optional[int]		    =  self.tokenizer_class.from_pretrained(
        '''facebook/wav2vec2-lv-60-espeak-cv-ft''' ,    word_delimiter_token='''|'''       )
    tokenizer.add_tokens('''|'''       )

    __a			:  Optional[int]		    =  '''Hello how are you'''
    __a			:  Optional[Any]		    =  tokenizer.phonemize(snake_case_ ,    phonemizer_lang='''en-us'''       )

    __a			:  Optional[int]		    =  tokenizer.decode(tokenizer(snake_case_       ).input_ids ,    filter_word_delimiter_token=snake_case_       )

    self.assertEqual(''' '''.join([p.strip() for p in phonemes.split(''' |'''       )]       ).strip() ,    snake_case_       )
   def 				lowerCAmelCase      (self			: Union[str, Any]       ):
    __a			:  Optional[int]		    =  self.tokenizer_class.from_pretrained(
        '''facebook/wav2vec2-lv-60-espeak-cv-ft''' ,    word_delimiter_token=snake_case_       )
    __a			:  Any		    =  '''Hello how are you'''

    __a			:  Any		    =  tokenizer(snake_case_ ,    phonemizer_lang='''en-us'''       ).input_ids
    __a			:  str		    =  tokenizer(snake_case_ ,    phonemizer_lang='''fr-fr'''       ).input_ids

    self.assertNotEqual(snake_case_ ,    snake_case_       )

    __a			:  Union[str, Any]		    =  tokenizer.decode(snake_case_       )
    __a			:  List[Any]		    =  tokenizer.decode(snake_case_       )

    self.assertEqual(snake_case_ ,    '''h ə l oʊ h aʊ ɑːɹ j uː'''       )
    self.assertEqual(snake_case_ ,    '''ɛ l o h aʊ a ʁ j u'''       )
   def 				lowerCAmelCase      (self			: List[str]       ):
    __a			:  Optional[Any]		    =  self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft'''       )
    __a			:  str		    =  '''Hello how Are you'''
    __a			:  str		    =  '''hello how are you'''

    __a			:  Any		    =  tokenizer(snake_case_       ).input_ids
    __a			:  Optional[Any]		    =  tokenizer(snake_case_       ).input_ids

    self.assertEqual(snake_case_ ,    snake_case_       )
   def 				lowerCAmelCase      (self			: int       ):
    __a			:  Optional[Any]		    =  self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft'''       )
    tokenizer.add_tokens(['''!''', '''?''']       )
    tokenizer.add_special_tokens({'''cls_token''': '''$$$'''}       )

    # fmt: off
    __a			:  int		    =  [
        [1_1, 5, 1_5, tokenizer.pad_token_id, 1_5, 8, 9_8, 3_9_2, 3_9_2, 3_9_3, 3_9_2, 3_9_2, 3_9_3, 3_9_4, 3_9_4],
        [2_4, 2_2, 5, 2_4, 2_2, 5, 7_7, tokenizer.pad_token_id, 3_9_4, 3_9_4],
    ]
    # fmt: on

    __a			:  Dict		    =  tokenizer.batch_decode(snake_case_       )
    self.assertEqual(snake_case_ ,    ['''k s ɾ ɾ l ɭʲ!?!? $$$''', '''j ð s j ð s oːɹ $$$''']       )
   @staticmethod
   def 				lowerCAmelCase      (snake_case_			: Union[str, Any] ,    snake_case_			: Optional[int]       ):
    __a			:  List[Any]		    =  [d[key] for d in offsets]
    return retrieved_list
   def 				lowerCAmelCase      (self			: int       ):
    __a			:  Union[str, Any]		    =  self.get_tokenizer(word_delimiter_token='''|'''       )
    tokenizer.add_tokens('''|'''       )

    # fmt: off
    # ksssɾɾ|ɾɾ<pad>ɾɾ|<pad>ɾlll|ɭʲ -> k s ɾ ɾ | ɾ l | ɭʲ"
    __a			:  Union[str, Any]		    =  [1_1, 5, 5, 5, 1_5, 1_5, tokenizer.pad_token_id, 1_5, 1_5, tokenizer.word_delimiter_token_id, tokenizer.pad_token_id, 1_5, 8, 8, 8, tokenizer.word_delimiter_token_id, 9_8]
    # fmt: on

    __a			:  Dict		    =  tokenizer.decode(snake_case_ ,    output_char_offsets=snake_case_ ,    filter_word_delimiter_token=snake_case_       )
    # check Wav2Vec2CTCTokenizerOutput keys for char
    self.assertEqual(len(outputs.keys()       ) ,    2       )
    self.assertTrue('''text''' in outputs       )
    self.assertTrue('''char_offsets''' in outputs       )
    self.assertTrue(isinstance(snake_case_ ,    snake_case_       )       )

    # check that order of chars is correct and identical for both outputs
    self.assertEqual(''' '''.join(self.get_from_offsets(outputs['''char_offsets'''] ,    '''char'''       )       ) ,    outputs.text       )
    self.assertListEqual(
        self.get_from_offsets(outputs['''char_offsets'''] ,    '''char'''       ) ,    ['''k''', '''s''', '''ɾ''', '''ɾ''', '''|''', '''ɾ''', '''l''', '''|''', '''ɭʲ''']       )

    # check that offsets are actually correct for char
    # 0-1 is 11, 1-4 is 5, 4-6 is first 15, 6-7 is <pad> (thus not shown), 7-9 is second 15, 9-10 is word_delimiter_token,
    # 10-11 is <pad> (thus not shown), 11-12 is third 15, 12-15 is 8, 15-16 is word_delimiter_token, 16-17 is 98
    self.assertListEqual(
        self.get_from_offsets(outputs['''char_offsets'''] ,    '''start_offset'''       ) ,    [0, 1, 4, 7, 9, 1_1, 1_2, 1_5, 1_6]       )
    self.assertListEqual(
        self.get_from_offsets(outputs['''char_offsets'''] ,    '''end_offset'''       ) ,    [1, 4, 6, 9, 1_0, 1_2, 1_5, 1_6, 1_7]       )
   def 				lowerCAmelCase      (self			: Dict       ):
    __a			:  List[str]		    =  self.get_tokenizer(word_delimiter_token='''|'''       )

    def check_list_tuples_equal(snake_case_			: Optional[int] ,    snake_case_			: Any       ):
     self.assertTrue(isinstance(snake_case_ ,    snake_case_       )       )
     self.assertTrue(isinstance(outputs_list[0] ,    snake_case_       )       )

     # transform list to ModelOutput
     __a			:  Optional[int]		    =  WavaVecaPhonemeCTCTokenizerOutput(
         {k: [d[k] for d in outputs_list] for k in outputs_list[0]}       )

     self.assertListEqual(outputs_batch['''text'''] ,    outputs_batch_a['''text''']       )

     def recursive_check(snake_case_			: str ,    snake_case_			: List[Any]       ):
      if isinstance(snake_case_ ,    snake_case_       ):
       [recursive_check(snake_case_ ,    snake_case_       ) for la, la in zip(snake_case_ ,    snake_case_       )]
      self.assertEqual(snake_case_ ,    snake_case_       )

     if "char_offsets" in outputs_batch:
      recursive_check(outputs_batch['''char_offsets'''] ,    outputs_batch_a['''char_offsets''']       )

        # fmt: off
    __a			:  Tuple		    =  [
        [1_1, 5, 1_5, tokenizer.pad_token_id, 1_5, 4, 8, 9_8, 3_2, 3_2, 3_2, 3_2, 4, 3_3, tokenizer.word_delimiter_token_id, 3_2, 3_2, 3_3, 3_4, 3_4],
        [2_4, 2_2, 5, tokenizer.word_delimiter_token_id, tokenizer.word_delimiter_token_id, 2_4, 2_2, 2_2, 2_2, 4, 5, 7_7, tokenizer.pad_token_id, 2_2, 2_2, 4, 3_4, 3_4, 3_4, 3_4],
    ]
    # fmt: on

    # We assume that `decode` works as expected. All we will check now is
    # the output type is correct and the output is identical to `decode`

    # char
    __a			:  str		    =  tokenizer.batch_decode(snake_case_ ,    output_char_offsets=snake_case_       )
    __a			:  Optional[Any]		    =  [tokenizer.decode(snake_case_ ,    output_char_offsets=snake_case_       ) for ids in sample_ids]
    check_list_tuples_equal(snake_case_ ,    snake_case_       )
   @unittest.skip('''Wav2Vec2PhonemeTokenizer always lower cases letters to correctly map to phonemes'''       )
   def 				lowerCAmelCase      (self			: Dict       ):
    pass
   @unittest.skip('''Wav2Vec2PhonemeTokenizer always puts spaces between phonemes'''       )
   def 				lowerCAmelCase      (self			: Optional[int]       ):
    pass
   @unittest.skip('''encodes to text to ids, but decodes ids to phonemes -> not possible to have internal consistency'''       )
   def 				lowerCAmelCase      (self			: List[Any]       ):
    pass
   @unittest.skip('''Wav2Vec2PhonemeModel has no max model length => no testing'''       )
   def 				lowerCAmelCase      (self			: Any       ):
    pass
   def 				lowerCAmelCase      (self			: Optional[Any]       ):
    __a			:  Optional[int]		    =  self.get_tokenizers(do_lower_case=snake_case_       )
    for tokenizer in tokenizers:
     with self.subTest(f"{tokenizer.__class__.__name__}"       ):
      __a			:  Tuple		    =  tokenizer.vocab_size
      __a			:  Optional[Any]		    =  len(snake_case_       )

      self.assertNotEqual(snake_case_ ,    0       )

      # We usually have added tokens from the start in tests because our vocab fixtures are
      # smaller than the original vocabs - let's not assert this
      # self.assertEqual(vocab_size, all_size)

      __a			:  Any		    =  ['''aaaaa bbbbbb''', '''cccccccccdddddddd''']
      __a			:  List[str]		    =  tokenizer.add_tokens(snake_case_       )
      __a			:  Optional[int]		    =  tokenizer.vocab_size
      __a			:  Any		    =  len(snake_case_       )

      self.assertNotEqual(snake_case_ ,    0       )
      self.assertEqual(snake_case_ ,    snake_case_       )
      self.assertEqual(snake_case_ ,    len(snake_case_       )       )
      self.assertEqual(snake_case_ ,    all_size + len(snake_case_       )       )

      __a			:  List[str]		    =  tokenizer.encode('''aaaaa bbbbbb low cccccccccdddddddd l''' ,    add_special_tokens=snake_case_       )

      self.assertGreaterEqual(len(snake_case_       ) ,    4       )
      self.assertGreater(tokens[0] ,    tokenizer.vocab_size - 1       )
      self.assertGreater(tokens[-3] ,    tokenizer.vocab_size - 1       )

      __a			:  Dict		    =  {'''eos_token''': '''>>>>|||<||<<|<<''', '''pad_token''': '''<<<<<|||>|>>>>|>'''}
      __a			:  Optional[int]		    =  tokenizer.add_special_tokens(snake_case_       )
      __a			:  Dict		    =  tokenizer.vocab_size
      __a			:  List[Any]		    =  len(snake_case_       )

      self.assertNotEqual(snake_case_ ,    0       )
      self.assertEqual(snake_case_ ,    snake_case_       )
      self.assertEqual(snake_case_ ,    len(snake_case_       )       )
      self.assertEqual(snake_case_ ,    all_size_a + len(snake_case_       )       )

      __a			:  Optional[Any]		    =  tokenizer.encode(
          '''>>>>|||<||<<|<< aaaaabbbbbb low cccccccccdddddddd <<<<<|||>|>>>>|> l''' ,    add_special_tokens=snake_case_       )

      self.assertGreaterEqual(len(snake_case_       ) ,    6       )
      self.assertGreater(tokens[0] ,    tokenizer.vocab_size - 1       )
      self.assertGreater(tokens[0] ,    tokens[1]       )
      self.assertGreater(tokens[-3] ,    tokenizer.vocab_size - 1       )
      self.assertGreater(tokens[-3] ,    tokens[-4]       )
      self.assertEqual(tokens[0] ,    tokenizer.eos_token_id       )
      self.assertEqual(tokens[-3] ,    tokenizer.pad_token_id       )
   @unittest.skip('''The tokenizer shouldn\'t be used to encode input IDs (except for labels), only to decode.'''       )
   def 				lowerCAmelCase      (self			: Dict       ):
    pass
   @unittest.skip('''The tokenizer shouldn\'t be used to encode input IDs (except for labels), only to decode.'''       )
   def 				lowerCAmelCase      (self			: List[str]       ):
    pass







   def 				lowerCAmelCase      (self			: Tuple       ):
    # The default common tokenizer tests assumes that the output of `convert_tokens_to_string` is a string which
    # is not the case for Wav2Vec2PhonemeCTCTokenizer.
    __a			:  List[str]		    =  self.get_tokenizers(fast=snake_case_ ,    do_lower_case=snake_case_       )
    for tokenizer in tokenizers:
     with self.subTest(f"{tokenizer.__class__.__name__}"       ):
      __a			:  str		    =  ['''ð''', '''ɪ''', '''s''', '''ɪ''', '''z''', '''ɐ''', '''t''', '''ɛ''', '''k''', '''s''', '''t''']
      __a			:  Optional[Any]		    =  tokenizer.convert_tokens_to_string(snake_case_       )

      self.assertIsInstance(output['''text'''] ,    snake_case_       )


import json
import os
from functools import lru_cache
from typing import Dict, List, Optional, Tuple, Union

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...tokenization_utils_base import BatchEncoding, EncodedInput
from ...utils import PaddingStrategy, logging


lowercase__          =logging.get_logger(__name__)


lowercase__          ={'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

# See all LED models at https://huggingface.co/models?filter=LED
lowercase__          ={
    'vocab_file': {
        'allenai/led-base-16384': 'https://huggingface.co/allenai/led-base-16384/resolve/main/vocab.json',
    },
    'merges_file': {
        'allenai/led-base-16384': 'https://huggingface.co/allenai/led-base-16384/resolve/main/merges.txt',
    },
    'tokenizer_file': {
        'allenai/led-base-16384': 'https://huggingface.co/allenai/led-base-16384/resolve/main/tokenizer.json',
    },
}

lowercase__          ={
    'allenai/led-base-16384': 16384,
}




@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def        __UpperCamelCase					(    ):
 __a			:  Tuple		    =  (
     list(range(ord('''!'''  )  ,       ord('''~'''  ) + 1  )  ) + list(range(ord('''¡'''  )  ,       ord('''¬'''  ) + 1  )  ) + list(range(ord('''®'''  )  ,       ord('''ÿ'''  ) + 1  )  )
 )
 __a			:  List[str]		    =  bs[:]
 __a			:  Tuple		    =  0
 for b in range(2**8  ):
  if b not in bs:
   bs.append(lowerCAmelCase__  )
   cs.append(2**8 + n  )
   n += 1
 __a			:  Union[str, Any]		    =  [chr(lowerCAmelCase__  ) for n in cs]
 return dict(zip(lowerCAmelCase__  ,       lowerCAmelCase__  )  )




def        __UpperCamelCase					(    lowerCAmelCase__							:    List[Any]  ):
 __a			:  Any		    =  set()
 __a			:  List[str]		    =  word[0]
 for char in word[1:]:
  pairs.add((prev_char, char)  )
  __a			:  Tuple		    =  char
 return pairs



class 		UpperCamelCase__  (	__lowercase   ):
   _SCREAMING_SNAKE_CASE				:							List[str]     	=				VOCAB_FILES_NAMES
   _SCREAMING_SNAKE_CASE				:							Optional[Any]     	=				PRETRAINED_VOCAB_FILES_MAP
   _SCREAMING_SNAKE_CASE				:							Tuple     	=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _SCREAMING_SNAKE_CASE				:							Union[str, Any]     	=				["input_ids", "attention_mask"]
   def __init__(self			: Any ,    snake_case_			: int ,    snake_case_			: Dict ,    snake_case_			: Union[str, Any]="replace" ,    snake_case_			: Any="<s>" ,    snake_case_			: Any="</s>" ,    snake_case_			: Tuple="</s>" ,    snake_case_			: Dict="<s>" ,    snake_case_			: Any="<unk>" ,    snake_case_			: List[Any]="<pad>" ,    snake_case_			: Dict="<mask>" ,    snake_case_			: Dict=False ,    **snake_case_			: Tuple ,    ):
    __a			:  List[str]		    =  AddedToken(snake_case_ ,    lstrip=snake_case_ ,    rstrip=snake_case_       ) if isinstance(snake_case_ ,    snake_case_       ) else bos_token
    __a			:  Tuple		    =  AddedToken(snake_case_ ,    lstrip=snake_case_ ,    rstrip=snake_case_       ) if isinstance(snake_case_ ,    snake_case_       ) else eos_token
    __a			:  Union[str, Any]		    =  AddedToken(snake_case_ ,    lstrip=snake_case_ ,    rstrip=snake_case_       ) if isinstance(snake_case_ ,    snake_case_       ) else sep_token
    __a			:  Dict		    =  AddedToken(snake_case_ ,    lstrip=snake_case_ ,    rstrip=snake_case_       ) if isinstance(snake_case_ ,    snake_case_       ) else cls_token
    __a			:  List[str]		    =  AddedToken(snake_case_ ,    lstrip=snake_case_ ,    rstrip=snake_case_       ) if isinstance(snake_case_ ,    snake_case_       ) else unk_token
    __a			:  str		    =  AddedToken(snake_case_ ,    lstrip=snake_case_ ,    rstrip=snake_case_       ) if isinstance(snake_case_ ,    snake_case_       ) else pad_token

    # Mask token behave like a normal word, i.e. include the space before it
    __a			:  int		    =  AddedToken(snake_case_ ,    lstrip=snake_case_ ,    rstrip=snake_case_       ) if isinstance(snake_case_ ,    snake_case_       ) else mask_token

    super().__init__(
        errors=snake_case_ ,    bos_token=snake_case_ ,    eos_token=snake_case_ ,    unk_token=snake_case_ ,    sep_token=snake_case_ ,    cls_token=snake_case_ ,    pad_token=snake_case_ ,    mask_token=snake_case_ ,    add_prefix_space=snake_case_ ,    **snake_case_ ,    )

    with open(snake_case_ ,    encoding='''utf-8'''       ) as vocab_handle:
     __a			:  Union[str, Any]		    =  json.load(snake_case_       )
    __a			:  Union[str, Any]		    =  {v: k for k, v in self.encoder.items()}
    __a			:  List[Any]		    =  errors  # how to handle errors in decoding
    __a			:  Union[str, Any]		    =  bytes_to_unicode()
    __a			:  Tuple		    =  {v: k for k, v in self.byte_encoder.items()}
    with open(snake_case_ ,    encoding='''utf-8'''       ) as merges_handle:
     __a			:  List[Any]		    =  merges_handle.read().split('''\n'''       )[1:-1]
    __a			:  int		    =  [tuple(merge.split()       ) for merge in bpe_merges]
    __a			:  Tuple		    =  dict(zip(snake_case_ ,    range(len(snake_case_       )       )       )       )
    __a			:  Optional[int]		    =  {}
    __a			:  Any		    =  add_prefix_space

    # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
    __a			:  str		    =  re.compile(r'''\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'''       )
   @property
   # Copied from transformers.models.bart.tokenization_bart.BartTokenizer.vocab_size
   def 				lowerCAmelCase      (self			: int       ):
    return len(self.encoder       )
   def 				lowerCAmelCase      (self			: str       ):
    return dict(self.encoder ,    **self.added_tokens_encoder       )
   def 				lowerCAmelCase      (self			: Dict ,    snake_case_			: Optional[Any]       ):
    if token in self.cache:
     return self.cache[token]
    __a			:  str		    =  tuple(snake_case_       )
    __a			:  Optional[Any]		    =  get_pairs(snake_case_       )

    if not pairs:
     return token

    while True:
     __a			:  Optional[int]		    =  min(snake_case_ ,    key=lambda snake_case_       : self.bpe_ranks.get(snake_case_ ,    float('''inf'''       )       )       )
     if bigram not in self.bpe_ranks:
      break
     __a    ,	__a			:  Any		    =  bigram
     __a			:  Union[str, Any]		    =  []
     __a			:  List[Any]		    =  0
     while i < len(snake_case_       ):
      try:
       __a			:  int		    =  word.index(snake_case_ ,    snake_case_       )
      except ValueError:
       new_word.extend(word[i:]       )
       break
      else:
       new_word.extend(word[i:j]       )
       __a			:  Optional[int]		    =  j

      if word[i] == first and i < len(snake_case_       ) - 1 and word[i + 1] == second:
       new_word.append(first + second       )
       i += 2
      else:
       new_word.append(word[i]       )
       i += 1
     __a			:  Tuple		    =  tuple(snake_case_       )
     __a			:  List[Any]		    =  new_word
     if len(snake_case_       ) == 1:
      break
     else:
      __a			:  Tuple		    =  get_pairs(snake_case_       )
    __a			:  Optional[int]		    =  ''' '''.join(snake_case_       )
    __a			:  Union[str, Any]		    =  word
    return word
   def 				lowerCAmelCase      (self			: Dict ,    snake_case_			: str       ):
    __a			:  Optional[Any]		    =  []
    for token in re.findall(self.pat ,    snake_case_       ):
     __a			:  str		    =  ''''''.join(
         self.byte_encoder[b] for b in token.encode('''utf-8'''       )       )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
     bpe_tokens.extend(bpe_token for bpe_token in self.bpe(snake_case_       ).split(''' '''       )       )
    return bpe_tokens
   def 				lowerCAmelCase      (self			: Optional[Any] ,    snake_case_			: int       ):
    return self.encoder.get(snake_case_ ,    self.encoder.get(self.unk_token       )       )
   def 				lowerCAmelCase      (self			: Union[str, Any] ,    snake_case_			: List[str]       ):
    return self.decoder.get(snake_case_       )
   def 				lowerCAmelCase      (self			: Optional[int] ,    snake_case_			: str       ):
    __a			:  Any		    =  ''''''.join(snake_case_       )
    __a			:  Union[str, Any]		    =  bytearray([self.byte_decoder[c] for c in text]       ).decode('''utf-8''' ,    errors=self.errors       )
    return text
   def 				lowerCAmelCase      (self			: List[Any] ,    snake_case_			: str ,    snake_case_			: Optional[str] = None       ):
    if not os.path.isdir(snake_case_       ):
     logger.error(f"Vocabulary path ({save_directory}) should be a directory"       )
     return
    __a			:  Any		    =  os.path.join(
        snake_case_ ,    (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']       )
    __a			:  str		    =  os.path.join(
        snake_case_ ,    (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']       )

    with open(snake_case_ ,    '''w''' ,    encoding='''utf-8'''       ) as f:
     f.write(json.dumps(self.encoder ,    indent=2 ,    sort_keys=snake_case_ ,    ensure_ascii=snake_case_       ) + '''\n'''       )

    __a			:  Optional[int]		    =  0
    with open(snake_case_ ,    '''w''' ,    encoding='''utf-8'''       ) as writer:
     writer.write('''#version: 0.2\n'''       )
     for bpe_tokens, token_index in sorted(self.bpe_ranks.items() ,    key=lambda snake_case_       : kv[1]       ):
      if index != token_index:
       logger.warning(
           f"Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."
           ''' Please check that the tokenizer is not corrupted!'''       )
       __a			:  Union[str, Any]		    =  token_index
      writer.write(''' '''.join(snake_case_       ) + '''\n'''       )
      index += 1

    return vocab_file, merge_file
   def 				lowerCAmelCase      (self			: int ,    snake_case_			: List[int] ,    snake_case_			: Optional[List[int]] = None       ):
    if token_ids_a is None:
     return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
    __a			:  Union[str, Any]		    =  [self.cls_token_id]
    __a			:  Union[str, Any]		    =  [self.sep_token_id]
    return cls + token_ids_a + sep + sep + token_ids_a + sep
   def 				lowerCAmelCase      (self			: str ,    snake_case_			: List[int] ,    snake_case_			: Optional[List[int]] = None ,    snake_case_			: bool = False       ):
    if already_has_special_tokens:
     return super().get_special_tokens_mask(
         token_ids_a=snake_case_ ,    token_ids_a=snake_case_ ,    already_has_special_tokens=snake_case_       )

    if token_ids_a is None:
     return [1] + ([0] * len(snake_case_       )) + [1]
    return [1] + ([0] * len(snake_case_       )) + [1, 1] + ([0] * len(snake_case_       )) + [1]
   def 				lowerCAmelCase      (self			: str ,    snake_case_			: List[int] ,    snake_case_			: Optional[List[int]] = None       ):
    __a			:  Union[str, Any]		    =  [self.sep_token_id]
    __a			:  Optional[int]		    =  [self.cls_token_id]

    if token_ids_a is None:
     return len(cls + token_ids_a + sep       ) * [0]
    return len(cls + token_ids_a + sep + sep + token_ids_a + sep       ) * [0]
   def 				lowerCAmelCase      (self			: str ,    snake_case_			: int ,    snake_case_			: Union[str, Any]=False ,    **snake_case_			: str       ):
    __a			:  List[str]		    =  kwargs.pop('''add_prefix_space''' ,    self.add_prefix_space       )
    if (is_split_into_words or add_prefix_space) and (len(snake_case_       ) > 0 and not text[0].isspace()):
     __a			:  str		    =  ''' ''' + text
    return (text, kwargs)







   def 				lowerCAmelCase      (self			: Optional[int] ,    snake_case_			: Union[Dict[str, EncodedInput], BatchEncoding] ,    snake_case_			: Optional[int] = None ,    snake_case_			: PaddingStrategy = PaddingStrategy.DO_NOT_PAD ,    snake_case_			: Optional[int] = None ,    snake_case_			: Optional[bool] = None ,    ):
    __a			:  int		    =  super()._pad(
        encoded_inputs=snake_case_ ,    max_length=snake_case_ ,    padding_strategy=snake_case_ ,    pad_to_multiple_of=snake_case_ ,    return_attention_mask=snake_case_ ,    )

    # Load from model defaults
    if return_attention_mask is None:
     __a			:  Optional[Any]		    =  '''attention_mask''' in self.model_input_names

    if return_attention_mask and "global_attention_mask" in encoded_inputs:
     __a			:  List[Any]		    =  encoded_inputs[self.model_input_names[0]]
     # `global_attention_mask` need to have the same length as other (sequential) inputs.
     __a			:  List[Any]		    =  len(encoded_inputs['''global_attention_mask''']       ) != len(snake_case_       )

     if needs_to_be_padded:
      __a			:  int		    =  len(snake_case_       ) - len(encoded_inputs['''global_attention_mask''']       )

      if self.padding_side == "right":
       # Use `-1` since `0` in `global_attention_mask` means `local attention` instead of `not to attend`
       __a			:  List[str]		    =  (
           encoded_inputs['''global_attention_mask'''] + [-1] * difference
       )
      elif self.padding_side == "left":
       __a			:  List[str]		    =  [-1] * difference + encoded_inputs[
           '''global_attention_mask'''
       ]
      else:
       raise ValueError('''Invalid padding strategy:''' + str(self.padding_side       )       )

    return encoded_inputs
