






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     _a							(	UpperCAmelCase__    ,							unittest.TestCase     ):






  """simple docstring"""





  A_						       = WavaVecaPhonemeCTCTokenizer
  A_						       = False




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

     UpperCamelCase_						=  (
         '<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(' '			)
     UpperCamelCase_						=  dict(zip(_UpperCAmelCase		,		range(len(_UpperCAmelCase			)			)			)			)

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

     UpperCamelCase_						=  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(_UpperCAmelCase			) + '\n'			)




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase		,		_UpperCAmelCase=False		,		_UpperCAmelCase=20		,		_UpperCAmelCase=5			)      ->			Tuple[str, list]:
     UpperCamelCase_						=  [(i, tokenizer.decode([i]		,		clean_up_tokenization_spaces=_UpperCAmelCase			)) for i in range(len(_UpperCAmelCase			)			)]
     UpperCamelCase_						=  list(filter(lambda _UpperCAmelCase			: [t[0]] == tokenizer.encode(t[1]		,		do_phonemize=_UpperCAmelCase			)		,		_UpperCAmelCase			)			)
     if max_length is not None and len(_UpperCAmelCase			) > max_length:
        UpperCamelCase_						=  toks[:max_length]
     if min_length is not None and len(_UpperCAmelCase			) < min_length and len(_UpperCAmelCase			) > 0:
        while len(_UpperCAmelCase			) < min_length:
           UpperCamelCase_						=  toks + toks
        # toks_str = [t[1] for t in toks]
     UpperCamelCase_						=  [t[0] for t in toks]

     # Ensure consistency
     UpperCamelCase_						=  tokenizer.decode(_UpperCAmelCase		,		clean_up_tokenization_spaces=_UpperCAmelCase			)
     if " " not in output_txt and len(_UpperCAmelCase			) > 1:
        UpperCamelCase_						=  (
            tokenizer.decode([toks_ids[0]]		,		clean_up_tokenization_spaces=_UpperCAmelCase			)
            + ' '
            + tokenizer.decode(toks_ids[1:]		,		clean_up_tokenization_spaces=_UpperCAmelCase			)
        )
     if with_prefix_space:
        UpperCamelCase_						=  ' ' + output_txt
     UpperCamelCase_						=  tokenizer.encode(_UpperCAmelCase		,		add_special_tokens=_UpperCAmelCase			)
     return output_txt, output_ids




  def  _UpperCAmelCase  (  self		,		**_UpperCAmelCase			)      ->			Optional[int]:
     kwargs.update(self.special_tokens_map			)
     return WavaVecaPhonemeCTCTokenizer.from_pretrained(self.tmpdirname		,		**_UpperCAmelCase			)




  def  _UpperCAmelCase  (  self			)      ->			Dict:
     UpperCamelCase_						=  self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft'			)

     # check adding a single token
     tokenizer.add_tokens('xxx'			)
     UpperCamelCase_						=  tokenizer('m xxx ɪ'		,		do_phonemize=_UpperCAmelCase			).input_ids
     self.assertEqual(_UpperCAmelCase		,		[13, 392, 17]			)  # xxx should be last token

     tokenizer.add_tokens(['aaa', 'bbb', 'ccc']			)
     UpperCamelCase_						=  tokenizer('m aaa ɪ ccc'		,		do_phonemize=_UpperCAmelCase			).input_ids
     self.assertEqual(_UpperCAmelCase		,		[13, 393, 17, 395]			)  # aaa and ccc should be after xxx and 2 after aaa

     UpperCamelCase_						=  tokenizer('maɪ c'		,		do_phonemize=_UpperCAmelCase			).input_ids
     self.assertEqual(_UpperCAmelCase		,		[3, 200]			)  # mai should be <unk> (=3)




  def  _UpperCAmelCase  (  self			)      ->			List[Any]:
     UpperCamelCase_						=  self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft'			)

     UpperCamelCase_						=  'Hello how are you'
     UpperCamelCase_						=  tokenizer.phonemize(_UpperCAmelCase		,		phonemizer_lang='en-us'			)
     self.assertEqual(_UpperCAmelCase		,		'h ə l oʊ h aʊ ɑːɹ j uː'			)




  def  _UpperCAmelCase  (  self			)      ->			Tuple:
     UpperCamelCase_						=  self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft'			)

     UpperCamelCase_						=  'Hello how are you'
     UpperCamelCase_						=  tokenizer.phonemize(_UpperCAmelCase		,		phonemizer_lang='en-us'			)
     self.assertEqual(tokenizer(_UpperCAmelCase			).input_ids		,		tokenizer(_UpperCAmelCase		,		do_phonemize=_UpperCAmelCase			).input_ids			)




  def  _UpperCAmelCase  (  self			)      ->			List[Any]:
     UpperCamelCase_						=  self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft'			)
     UpperCamelCase_						=  'Hello how are you'
     UpperCamelCase_						=  tokenizer.phonemize(_UpperCAmelCase		,		phonemizer_lang='en-us'			)

     UpperCamelCase_						=  tokenizer.decode(tokenizer(_UpperCAmelCase			).input_ids			)

     self.assertEqual(_UpperCAmelCase		,		_UpperCAmelCase			)




  def  _UpperCAmelCase  (  self			)      ->			str:
     UpperCamelCase_						=  self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft'			)

     UpperCamelCase_						=  [
         [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98],
         [24, 22, 5, 24, 22, 5, 77],
     ]
     UpperCamelCase_						=  tokenizer.decode(sample_ids[0]			)
     UpperCamelCase_						=  tokenizer.batch_decode(_UpperCAmelCase			)
     self.assertEqual(_UpperCAmelCase		,		batch_tokens[0]			)
     self.assertEqual(_UpperCAmelCase		,		['k s ɾ ɾ l ɭʲ', 'j ð s j ð s oːɹ']			)




  def  _UpperCAmelCase  (  self			)      ->			int:
     UpperCamelCase_						=  self.tokenizer_class.from_pretrained(
         'facebook/wav2vec2-lv-60-espeak-cv-ft'		,		word_delimiter_token='|'			)
     tokenizer.add_tokens('|'			)

     UpperCamelCase_						=  'Hello how are you'
     UpperCamelCase_						=  tokenizer.phonemize(_UpperCAmelCase		,		phonemizer_lang='en-us'			)
     self.assertEqual(_UpperCAmelCase		,		'h ə l oʊ | h aʊ | ɑːɹ | j uː |'			)




  def  _UpperCAmelCase  (  self			)      ->			Any:
     UpperCamelCase_						=  self.tokenizer_class.from_pretrained(
         'facebook/wav2vec2-lv-60-espeak-cv-ft'		,		word_delimiter_token='|'			)
     tokenizer.add_tokens('|'			)

     UpperCamelCase_						=  'Hello how are you'
     UpperCamelCase_						=  tokenizer.phonemize(_UpperCAmelCase		,		phonemizer_lang='en-us'			)
     self.assertEqual(tokenizer(_UpperCAmelCase			).input_ids		,		tokenizer(_UpperCAmelCase		,		do_phonemize=_UpperCAmelCase			).input_ids			)




  def  _UpperCAmelCase  (  self			)      ->			Tuple:
     UpperCamelCase_						=  self.tokenizer_class.from_pretrained(
         'facebook/wav2vec2-lv-60-espeak-cv-ft'		,		word_delimiter_token='|'			)
     tokenizer.add_tokens('|'			)

     # fmt: off
     UpperCamelCase_						=  [
         [11, 5, 15, tokenizer.pad_token_id, tokenizer.word_delimiter_token_id, 15, 8, tokenizer.word_delimiter_token_id, 98],
         [tokenizer.word_delimiter_token_id, 24, 22, tokenizer.word_delimiter_token_id, 5, 24, 22, 5, 77],
     ]
     # fmt: on

     # decode with word_del_token filter
     UpperCamelCase_						=  tokenizer.decode(sample_ids[0]			)
     UpperCamelCase_						=  tokenizer.batch_decode(_UpperCAmelCase			)
     self.assertEqual(_UpperCAmelCase		,		batch_tokens[0]			)
     self.assertEqual(_UpperCAmelCase		,		['k s ɾ ɾ l ɭʲ', 'j ð s j ð s oːɹ']			)

     # decode with no word_del_token filter
     UpperCamelCase_						=  tokenizer.decode(sample_ids[0]		,		filter_word_delimiter_token=_UpperCAmelCase			)
     UpperCamelCase_						=  tokenizer.batch_decode(_UpperCAmelCase		,		filter_word_delimiter_token=_UpperCAmelCase			)
     self.assertEqual(_UpperCAmelCase		,		batch_tokens[0]			)
     self.assertEqual(_UpperCAmelCase		,		['k s ɾ | ɾ l | ɭʲ', '| j ð | s j ð s oːɹ']			)




  def  _UpperCAmelCase  (  self			)      ->			List[Any]:
     UpperCamelCase_						=  self.tokenizer_class.from_pretrained(
         'facebook/wav2vec2-lv-60-espeak-cv-ft'		,		word_delimiter_token='|'			)
     tokenizer.add_tokens('|'			)

     UpperCamelCase_						=  'Hello how are you'
     UpperCamelCase_						=  tokenizer.phonemize(_UpperCAmelCase		,		phonemizer_lang='en-us'			)

     UpperCamelCase_						=  tokenizer.decode(tokenizer(_UpperCAmelCase			).input_ids		,		filter_word_delimiter_token=_UpperCAmelCase			)

     self.assertEqual(_UpperCAmelCase		,		_UpperCAmelCase			)




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

     UpperCamelCase_						=  'Hello how are you'
     UpperCamelCase_						=  tokenizer.phonemize(_UpperCAmelCase		,		phonemizer_lang='en-us'			)

     UpperCamelCase_						=  tokenizer.decode(tokenizer(_UpperCAmelCase			).input_ids		,		filter_word_delimiter_token=_UpperCAmelCase			)

     self.assertEqual(' '.join([p.strip() for p in phonemes.split(' |'			)]			).strip()		,		_UpperCAmelCase			)




  def  _UpperCAmelCase  (  self			)      ->			Any:
     UpperCamelCase_						=  self.tokenizer_class.from_pretrained(
         'facebook/wav2vec2-lv-60-espeak-cv-ft'		,		word_delimiter_token=_UpperCAmelCase			)
     UpperCamelCase_						=  'Hello how are you'

     UpperCamelCase_						=  tokenizer(_UpperCAmelCase		,		phonemizer_lang='en-us'			).input_ids
     UpperCamelCase_						=  tokenizer(_UpperCAmelCase		,		phonemizer_lang='fr-fr'			).input_ids

     self.assertNotEqual(_UpperCAmelCase		,		_UpperCAmelCase			)

     UpperCamelCase_						=  tokenizer.decode(_UpperCAmelCase			)
     UpperCamelCase_						=  tokenizer.decode(_UpperCAmelCase			)

     self.assertEqual(_UpperCAmelCase		,		'h ə l oʊ h aʊ ɑːɹ j uː'			)
     self.assertEqual(_UpperCAmelCase		,		'ɛ l o h aʊ a ʁ j u'			)




  def  _UpperCAmelCase  (  self			)      ->			Union[str, Any]:
     UpperCamelCase_						=  self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft'			)
     UpperCamelCase_						=  'Hello how Are you'
     UpperCamelCase_						=  'hello how are you'

     UpperCamelCase_						=  tokenizer(_UpperCAmelCase			).input_ids
     UpperCamelCase_						=  tokenizer(_UpperCAmelCase			).input_ids

     self.assertEqual(_UpperCAmelCase		,		_UpperCAmelCase			)




  def  _UpperCAmelCase  (  self			)      ->			Union[str, Any]:
     UpperCamelCase_						=  self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft'			)
     tokenizer.add_tokens(['!', '?']			)
     tokenizer.add_special_tokens({'cls_token': '$$$'}			)

     # fmt: off
     UpperCamelCase_						=  [
         [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98, 392, 392, 393, 392, 392, 393, 394, 394],
         [24, 22, 5, 24, 22, 5, 77, tokenizer.pad_token_id, 394, 394],
     ]
     # fmt: on

     UpperCamelCase_						=  tokenizer.batch_decode(_UpperCAmelCase			)
     self.assertEqual(_UpperCAmelCase		,		['k s ɾ ɾ l ɭʲ!?!? $$$', 'j ð s j ð s oːɹ $$$']			)




  @staticmethod
  def  _UpperCAmelCase  (  _UpperCAmelCase		,		_UpperCAmelCase			)      ->			Union[str, Any]:
     UpperCamelCase_						=  [d[key] for d in offsets]
     return retrieved_list




  def  _UpperCAmelCase  (  self			)      ->			Union[str, Any]:
     UpperCamelCase_						=  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"
     UpperCamelCase_						=  [11, 5, 5, 5, 15, 15, tokenizer.pad_token_id, 15, 15, tokenizer.word_delimiter_token_id, tokenizer.pad_token_id, 15, 8, 8, 8, tokenizer.word_delimiter_token_id, 98]
     # fmt: on

     UpperCamelCase_						=  tokenizer.decode(_UpperCAmelCase		,		output_char_offsets=_UpperCAmelCase		,		filter_word_delimiter_token=_UpperCAmelCase			)
     # 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(_UpperCAmelCase		,		_UpperCAmelCase			)			)

     # 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, 11, 12, 15, 16]			)
     self.assertListEqual(
         self.get_from_offsets(outputs['char_offsets']		,		'end_offset'			)		,		[1, 4, 6, 9, 10, 12, 15, 16, 17]			)




  def  _UpperCAmelCase  (  self			)      ->			List[str]:
     UpperCamelCase_						=  self.get_tokenizer(word_delimiter_token='|'			)

     def check_list_tuples_equal(_UpperCAmelCase		,		_UpperCAmelCase			):
        self.assertTrue(isinstance(_UpperCAmelCase		,		_UpperCAmelCase			)			)
        self.assertTrue(isinstance(outputs_list[0]		,		_UpperCAmelCase			)			)

        # transform list to ModelOutput
        UpperCamelCase_						=  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(_UpperCAmelCase		,		_UpperCAmelCase			):
           if isinstance(_UpperCAmelCase		,		_UpperCAmelCase			):
              [recursive_check(_UpperCAmelCase		,		_UpperCAmelCase			) for la, la in zip(_UpperCAmelCase		,		_UpperCAmelCase			)]
           self.assertEqual(_UpperCAmelCase		,		_UpperCAmelCase			)

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

        # fmt: off
     UpperCamelCase_						=  [
         [11, 5, 15, tokenizer.pad_token_id, 15, 4, 8, 98, 32, 32, 32, 32, 4, 33, tokenizer.word_delimiter_token_id, 32, 32, 33, 34, 34],
         [24, 22, 5, tokenizer.word_delimiter_token_id, tokenizer.word_delimiter_token_id, 24, 22, 22, 22, 4, 5, 77, tokenizer.pad_token_id, 22, 22, 4, 34, 34, 34, 34],
     ]
     # 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
     UpperCamelCase_						=  tokenizer.batch_decode(_UpperCAmelCase		,		output_char_offsets=_UpperCAmelCase			)
     UpperCamelCase_						=  [tokenizer.decode(_UpperCAmelCase		,		output_char_offsets=_UpperCAmelCase			) for ids in sample_ids]
     check_list_tuples_equal(_UpperCAmelCase		,		_UpperCAmelCase			)




  @unittest.skip('Wav2Vec2PhonemeTokenizer always lower cases letters to correctly map to phonemes'			)
  def  _UpperCAmelCase  (  self			)      ->			List[Any]:
     pass




  @unittest.skip('Wav2Vec2PhonemeTokenizer always puts spaces between phonemes'			)
  def  _UpperCAmelCase  (  self			)      ->			List[str]:
     pass




  @unittest.skip('encodes to text to ids, but decodes ids to phonemes -> not possible to have internal consistency'			)
  def  _UpperCAmelCase  (  self			)      ->			List[Any]:
     pass




  @unittest.skip('Wav2Vec2PhonemeModel has no max model length => no testing'			)
  def  _UpperCAmelCase  (  self			)      ->			List[Any]:
     pass




  def  _UpperCAmelCase  (  self			)      ->			str:
     UpperCamelCase_						=  self.get_tokenizers(do_lower_case=_UpperCAmelCase			)
     for tokenizer in tokenizers:
        with self.subTest(f"""{tokenizer.__class__.__name__}"""			):
           UpperCamelCase_						=  tokenizer.vocab_size
           UpperCamelCase_						=  len(_UpperCAmelCase			)

           self.assertNotEqual(_UpperCAmelCase		,		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)

           UpperCamelCase_						=  ['aaaaa bbbbbb', 'cccccccccdddddddd']
           UpperCamelCase_						=  tokenizer.add_tokens(_UpperCAmelCase			)
           UpperCamelCase_						=  tokenizer.vocab_size
           UpperCamelCase_						=  len(_UpperCAmelCase			)

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

           UpperCamelCase_						=  tokenizer.encode('aaaaa bbbbbb low cccccccccdddddddd l'		,		add_special_tokens=_UpperCAmelCase			)

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

           UpperCamelCase_						=  {'eos_token': '>>>>|||<||<<|<<', 'pad_token': '<<<<<|||>|>>>>|>'}
           UpperCamelCase_						=  tokenizer.add_special_tokens(_UpperCAmelCase			)
           UpperCamelCase_						=  tokenizer.vocab_size
           UpperCamelCase_						=  len(_UpperCAmelCase			)

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

           UpperCamelCase_						=  tokenizer.encode(
               '>>>>|||<||<<|<< aaaaabbbbbb low cccccccccdddddddd <<<<<|||>|>>>>|> l'		,		add_special_tokens=_UpperCAmelCase			)

           self.assertGreaterEqual(len(_UpperCAmelCase			)		,		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  _UpperCAmelCase  (  self			)      ->			List[Any]:
     pass




  @unittest.skip('The tokenizer shouldn\'t be used to encode input IDs (except for labels), only to decode.'			)
  def  _UpperCAmelCase  (  self			)      ->			List[Any]:
     pass




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

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













from __future__ import annotations

import sys
from collections import deque
from typing import Generic, TypeVar

snake_case__   :						Dict													=   TypeVar("""T""")


class     _a							(	Generic[T]     ):






  """simple docstring"""





  A_						       = 42  # Cache store of keys
  A_						       = 42  # References of the keys in cache
  A_						       = 10  # Maximum capacity of cache




  def __init__(  self		,		_UpperCAmelCase			)      ->			None:
     UpperCamelCase_						=  deque()
     UpperCamelCase_						=  set()
     if not n:
        UpperCamelCase_						=  sys.maxsize
     elif n < 0:
        raise ValueError('n should be an integer greater than 0.'			)
     else:
        UpperCamelCase_						=  n




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase			)      ->			None:
     if x not in self.key_reference:
        if len(self.dq_store			) == LRUCache._MAX_CAPACITY:
           UpperCamelCase_						=  self.dq_store.pop()
           self.key_reference.remove(_UpperCAmelCase			)
     else:
        self.dq_store.remove(_UpperCAmelCase			)

     self.dq_store.appendleft(_UpperCAmelCase			)
     self.key_reference.add(_UpperCAmelCase			)




  def  _UpperCAmelCase  (  self			)      ->			None:
     for k in self.dq_store:
        print(_UpperCAmelCase			)




  def __repr__(  self			)      ->			str:
     return f"""LRUCache({self._MAX_CAPACITY}) => {list(self.dq_store			)}"""


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 snake_case__   :						LRUCache[str | int]													=   LRUCache(4)
 lru_cache.refer("""A""")
 lru_cache.refer(2)
 lru_cache.refer(3)
 lru_cache.refer("""A""")
 lru_cache.refer(4)
 lru_cache.refer(5)
 lru_cache.display()

 print(lru_cache)
 assert str(lru_cache) == "LRUCache(4) => [5, 4, 'A', 3]"





