





import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_convbert import ConvBertTokenizer


__lowercase	: List[str]       =logging.get_logger(__name__)

__lowercase	: List[Any]       ={"""vocab_file""": """vocab.txt"""}

__lowercase	: List[Any]       ={
    """vocab_file""": {
        """YituTech/conv-bert-base""": """https://huggingface.co/YituTech/conv-bert-base/resolve/main/vocab.txt""",
        """YituTech/conv-bert-medium-small""": (
            """https://huggingface.co/YituTech/conv-bert-medium-small/resolve/main/vocab.txt"""
        ),
        """YituTech/conv-bert-small""": """https://huggingface.co/YituTech/conv-bert-small/resolve/main/vocab.txt""",
    }
}

__lowercase	: List[str]       ={
    """YituTech/conv-bert-base""": 512,
    """YituTech/conv-bert-medium-small""": 512,
    """YituTech/conv-bert-small""": 512,
}


__lowercase	: Dict       ={
    """YituTech/conv-bert-base""": {"""do_lower_case""": True},
    """YituTech/conv-bert-medium-small""": {"""do_lower_case""": True},
    """YituTech/conv-bert-small""": {"""do_lower_case""": True},
}

class   A							(						__lowercase    ):
      _snake_case				  =VOCAB_FILES_NAMES
      _snake_case				  =PRETRAINED_VOCAB_FILES_MAP
      _snake_case				  =PRETRAINED_INIT_CONFIGURATION
      _snake_case				  =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      _snake_case				  =ConvBertTokenizer



      def __init__(						self:    str		,	_lowerCAmelCase:    List[str]=None		,	_lowerCAmelCase:    Tuple=None		,	_lowerCAmelCase:    Tuple=True		,	_lowerCAmelCase:    Dict="[UNK]"		,	_lowerCAmelCase:    Dict="[SEP]"		,	_lowerCAmelCase:    Dict="[PAD]"		,	_lowerCAmelCase:    Union[str, Any]="[CLS]"		,	_lowerCAmelCase:    Dict="[MASK]"		,	_lowerCAmelCase:    str=True		,	_lowerCAmelCase:    List[str]=None		,	**_lowerCAmelCase:    str		,	)    ->     Union[str, Any]:
         '''simple docstring'''

         super().__init__(
             _lowerCAmelCase		,	tokenizer_file=_lowerCAmelCase		,	do_lower_case=_lowerCAmelCase		,	unk_token=_lowerCAmelCase		,	sep_token=_lowerCAmelCase		,	pad_token=_lowerCAmelCase		,	cls_token=_lowerCAmelCase		,	mask_token=_lowerCAmelCase		,	tokenize_chinese_chars=_lowerCAmelCase		,	strip_accents=_lowerCAmelCase		,	**_lowerCAmelCase		,	)

         UpperCAmelCase_           =json.loads(self.backend_tokenizer.normalizer.__getstate__()							)
         if (
             normalizer_state.get("lowercase"		,	_lowerCAmelCase							) != do_lower_case
             or normalizer_state.get("strip_accents"		,	_lowerCAmelCase							) != strip_accents
             or normalizer_state.get("handle_chinese_chars"		,	_lowerCAmelCase							) != tokenize_chinese_chars
         ):
            UpperCAmelCase_           =getattr(_lowerCAmelCase		,	normalizer_state.pop("type"							)							)
            UpperCAmelCase_           =do_lower_case
            UpperCAmelCase_           =strip_accents
            UpperCAmelCase_           =tokenize_chinese_chars
            UpperCAmelCase_           =normalizer_class(**_lowerCAmelCase							)

         UpperCAmelCase_           =do_lower_case



      def 						lowerCAmelCase__     (						self:    Dict		,	_lowerCAmelCase:    Optional[int]		,	_lowerCAmelCase:    Optional[Any]=None							)    ->     int:
         '''simple docstring'''

         UpperCAmelCase_           =[self.cls_token_id] + token_ids_a + [self.sep_token_id]

         if token_ids_a:
            output += token_ids_a + [self.sep_token_id]

         return output



      def 						lowerCAmelCase__     (						self:    Tuple		,	_lowerCAmelCase:    List[int]		,	_lowerCAmelCase:    Optional[List[int]] = None							)    ->     List[int]:
         '''simple docstring'''

         UpperCAmelCase_           =[self.sep_token_id]
         UpperCAmelCase_           =[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							) * [0] + len(token_ids_a + sep							) * [1]






      def 						lowerCAmelCase__     (						self:    List[Any]		,	_lowerCAmelCase:    str		,	_lowerCAmelCase:    Optional[str] = None							)    ->     Tuple[str]:
         '''simple docstring'''

         UpperCAmelCase_           =self._tokenizer.model.save(_lowerCAmelCase		,	name=_lowerCAmelCase							)
         return tuple(_lowerCAmelCase							)










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     SCREAMING_SNAKE_CASE__		(_a    ,					unittest.TestCase			):
     lowercase_ :      List[str]				= WavaVecaPhonemeCTCTokenizer
     lowercase_ :      Dict				= False
     def        A__      (						self	:		str						):



       """simple docstring"""
       super().setUp()

       lowerCAmelCase__										=      (
           '''<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(''' '''						)
       lowerCAmelCase__										=      dict(zip(__lowerCamelCase       ,						range(len(__lowerCamelCase						)						)						)						)

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

       lowerCAmelCase__										=      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(__lowerCamelCase						) + '''\n'''						)
     def        A__      (						self	:		int       ,						__lowerCamelCase	:		Dict       ,						__lowerCamelCase	:		List[Any]=False       ,						__lowerCamelCase	:		int=20       ,						__lowerCamelCase	:		Any=5						):



       """simple docstring"""
       lowerCAmelCase__										=      [(i, tokenizer.decode([i]       ,						clean_up_tokenization_spaces=__lowerCamelCase						)) for i in range(len(__lowerCamelCase						)						)]
       lowerCAmelCase__										=      list(filter(lambda __lowerCamelCase						: [t[0]] == tokenizer.encode(t[1]       ,						do_phonemize=__lowerCamelCase						)       ,						__lowerCamelCase						)						)
       if max_length is not None and len(__lowerCamelCase						) > max_length:
         lowerCAmelCase__										=      toks[:max_length]
       if min_length is not None and len(__lowerCamelCase						) < min_length and len(__lowerCamelCase						) > 0:
         while len(__lowerCamelCase						) < min_length:
           lowerCAmelCase__										=      toks + toks
        # toks_str = [t[1] for t in toks]
       lowerCAmelCase__										=      [t[0] for t in toks]

       # Ensure consistency
       lowerCAmelCase__										=      tokenizer.decode(__lowerCamelCase       ,						clean_up_tokenization_spaces=__lowerCamelCase						)
       if " " not in output_txt and len(__lowerCamelCase						) > 1:
         lowerCAmelCase__										=      (
             tokenizer.decode([toks_ids[0]]       ,						clean_up_tokenization_spaces=__lowerCamelCase						)
             + ''' '''
             + tokenizer.decode(toks_ids[1:]       ,						clean_up_tokenization_spaces=__lowerCamelCase						)
         )
       if with_prefix_space:
         lowerCAmelCase__										=      ''' ''' + output_txt
       lowerCAmelCase__										=      tokenizer.encode(__lowerCamelCase       ,						add_special_tokens=__lowerCamelCase						)
       return output_txt, output_ids
     def        A__      (						self	:		List[str]       ,						**__lowerCamelCase	:		Any						):



       """simple docstring"""
       kwargs.update(self.special_tokens_map						)
       return WavaVecaPhonemeCTCTokenizer.from_pretrained(self.tmpdirname       ,						**__lowerCamelCase						)
     def        A__      (						self	:		Dict						):



       """simple docstring"""
       lowerCAmelCase__										=      self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft'''						)

       # check adding a single token
       tokenizer.add_tokens('''xxx'''						)
       lowerCAmelCase__										=      tokenizer('''m xxx ɪ'''       ,						do_phonemize=__lowerCamelCase						).input_ids
       self.assertEqual(__lowerCamelCase       ,						[13, 3_92, 17]						)  # xxx should be last token

       tokenizer.add_tokens(['''aaa''', '''bbb''', '''ccc''']						)
       lowerCAmelCase__										=      tokenizer('''m aaa ɪ ccc'''       ,						do_phonemize=__lowerCamelCase						).input_ids
       self.assertEqual(__lowerCamelCase       ,						[13, 3_93, 17, 3_95]						)  # aaa and ccc should be after xxx and 2 after aaa

       lowerCAmelCase__										=      tokenizer('''maɪ c'''       ,						do_phonemize=__lowerCamelCase						).input_ids
       self.assertEqual(__lowerCamelCase       ,						[3, 2_00]						)  # mai should be <unk> (=3)
     def        A__      (						self	:		int						):



       """simple docstring"""
       lowerCAmelCase__										=      self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft'''						)

       lowerCAmelCase__										=      '''Hello how are you'''
       lowerCAmelCase__										=      tokenizer.phonemize(__lowerCamelCase       ,						phonemizer_lang='''en-us'''						)
       self.assertEqual(__lowerCamelCase       ,						'''h ə l oʊ h aʊ ɑːɹ j uː'''						)
     def        A__      (						self	:		str						):



       """simple docstring"""
       lowerCAmelCase__										=      self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft'''						)

       lowerCAmelCase__										=      '''Hello how are you'''
       lowerCAmelCase__										=      tokenizer.phonemize(__lowerCamelCase       ,						phonemizer_lang='''en-us'''						)
       self.assertEqual(tokenizer(__lowerCamelCase						).input_ids       ,						tokenizer(__lowerCamelCase       ,						do_phonemize=__lowerCamelCase						).input_ids						)
     def        A__      (						self	:		int						):



       """simple docstring"""
       lowerCAmelCase__										=      self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft'''						)
       lowerCAmelCase__										=      '''Hello how are you'''
       lowerCAmelCase__										=      tokenizer.phonemize(__lowerCamelCase       ,						phonemizer_lang='''en-us'''						)

       lowerCAmelCase__										=      tokenizer.decode(tokenizer(__lowerCamelCase						).input_ids						)

       self.assertEqual(__lowerCamelCase       ,						__lowerCamelCase						)
     def        A__      (						self	:		Any						):



       """simple docstring"""
       lowerCAmelCase__										=      self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft'''						)

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



       """simple docstring"""
       lowerCAmelCase__										=      self.tokenizer_class.from_pretrained(
           '''facebook/wav2vec2-lv-60-espeak-cv-ft'''       ,						word_delimiter_token='''|'''						)
       tokenizer.add_tokens('''|'''						)

       lowerCAmelCase__										=      '''Hello how are you'''
       lowerCAmelCase__										=      tokenizer.phonemize(__lowerCamelCase       ,						phonemizer_lang='''en-us'''						)
       self.assertEqual(__lowerCamelCase       ,						'''h ə l oʊ | h aʊ | ɑːɹ | j uː |'''						)
     def        A__      (						self	:		Optional[Any]						):



       """simple docstring"""
       lowerCAmelCase__										=      self.tokenizer_class.from_pretrained(
           '''facebook/wav2vec2-lv-60-espeak-cv-ft'''       ,						word_delimiter_token='''|'''						)
       tokenizer.add_tokens('''|'''						)

       lowerCAmelCase__										=      '''Hello how are you'''
       lowerCAmelCase__										=      tokenizer.phonemize(__lowerCamelCase       ,						phonemizer_lang='''en-us'''						)
       self.assertEqual(tokenizer(__lowerCamelCase						).input_ids       ,						tokenizer(__lowerCamelCase       ,						do_phonemize=__lowerCamelCase						).input_ids						)
     def        A__      (						self	:		str						):



       """simple docstring"""
       lowerCAmelCase__										=      self.tokenizer_class.from_pretrained(
           '''facebook/wav2vec2-lv-60-espeak-cv-ft'''       ,						word_delimiter_token='''|'''						)
       tokenizer.add_tokens('''|'''						)

       # fmt: off
       lowerCAmelCase__										=      [
           [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
       lowerCAmelCase__										=      tokenizer.decode(sample_ids[0]						)
       lowerCAmelCase__										=      tokenizer.batch_decode(__lowerCamelCase						)
       self.assertEqual(__lowerCamelCase       ,						batch_tokens[0]						)
       self.assertEqual(__lowerCamelCase       ,						['''k s ɾ ɾ l ɭʲ''', '''j ð s j ð s oːɹ''']						)

       # decode with no word_del_token filter
       lowerCAmelCase__										=      tokenizer.decode(sample_ids[0]       ,						filter_word_delimiter_token=__lowerCamelCase						)
       lowerCAmelCase__										=      tokenizer.batch_decode(__lowerCamelCase       ,						filter_word_delimiter_token=__lowerCamelCase						)
       self.assertEqual(__lowerCamelCase       ,						batch_tokens[0]						)
       self.assertEqual(__lowerCamelCase       ,						['''k s ɾ | ɾ l | ɭʲ''', '''| j ð | s j ð s oːɹ''']						)
     def        A__      (						self	:		Optional[Any]						):



       """simple docstring"""
       lowerCAmelCase__										=      self.tokenizer_class.from_pretrained(
           '''facebook/wav2vec2-lv-60-espeak-cv-ft'''       ,						word_delimiter_token='''|'''						)
       tokenizer.add_tokens('''|'''						)

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

       lowerCAmelCase__										=      tokenizer.decode(tokenizer(__lowerCamelCase						).input_ids       ,						filter_word_delimiter_token=__lowerCamelCase						)

       self.assertEqual(__lowerCamelCase       ,						__lowerCamelCase						)
     def        A__      (						self	:		str						):



       """simple docstring"""
       lowerCAmelCase__										=      self.tokenizer_class.from_pretrained(
           '''facebook/wav2vec2-lv-60-espeak-cv-ft'''       ,						word_delimiter_token='''|'''						)
       tokenizer.add_tokens('''|'''						)

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

       lowerCAmelCase__										=      tokenizer.decode(tokenizer(__lowerCamelCase						).input_ids       ,						filter_word_delimiter_token=__lowerCamelCase						)

       self.assertEqual(''' '''.join([p.strip() for p in phonemes.split(''' |'''						)]						).strip()       ,						__lowerCamelCase						)
     def        A__      (						self	:		List[Any]						):



       """simple docstring"""
       lowerCAmelCase__										=      self.tokenizer_class.from_pretrained(
           '''facebook/wav2vec2-lv-60-espeak-cv-ft'''       ,						word_delimiter_token=__lowerCamelCase						)
       lowerCAmelCase__										=      '''Hello how are you'''

       lowerCAmelCase__										=      tokenizer(__lowerCamelCase       ,						phonemizer_lang='''en-us'''						).input_ids
       lowerCAmelCase__										=      tokenizer(__lowerCamelCase       ,						phonemizer_lang='''fr-fr'''						).input_ids

       self.assertNotEqual(__lowerCamelCase       ,						__lowerCamelCase						)

       lowerCAmelCase__										=      tokenizer.decode(__lowerCamelCase						)
       lowerCAmelCase__										=      tokenizer.decode(__lowerCamelCase						)

       self.assertEqual(__lowerCamelCase       ,						'''h ə l oʊ h aʊ ɑːɹ j uː'''						)
       self.assertEqual(__lowerCamelCase       ,						'''ɛ l o h aʊ a ʁ j u'''						)
     def        A__      (						self	:		int						):



       """simple docstring"""
       lowerCAmelCase__										=      self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft'''						)
       lowerCAmelCase__										=      '''Hello how Are you'''
       lowerCAmelCase__										=      '''hello how are you'''

       lowerCAmelCase__										=      tokenizer(__lowerCamelCase						).input_ids
       lowerCAmelCase__										=      tokenizer(__lowerCamelCase						).input_ids

       self.assertEqual(__lowerCamelCase       ,						__lowerCamelCase						)
     def        A__      (						self	:		str						):



       """simple docstring"""
       lowerCAmelCase__										=      self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft'''						)
       tokenizer.add_tokens(['''!''', '''?''']						)
       tokenizer.add_special_tokens({'''cls_token''': '''$$$'''}						)

       # fmt: off
       lowerCAmelCase__										=      [
           [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98, 3_92, 3_92, 3_93, 3_92, 3_92, 3_93, 3_94, 3_94],
           [24, 22, 5, 24, 22, 5, 77, tokenizer.pad_token_id, 3_94, 3_94],
       ]
       # fmt: on

       lowerCAmelCase__										=      tokenizer.batch_decode(__lowerCamelCase						)
       self.assertEqual(__lowerCamelCase       ,						['''k s ɾ ɾ l ɭʲ!?!? $$$''', '''j ð s j ð s oːɹ $$$''']						)
     @staticmethod
     def        A__      (						__lowerCamelCase	:		Any       ,						__lowerCamelCase	:		Tuple						):



       """simple docstring"""
       lowerCAmelCase__										=      [d[key] for d in offsets]
       return retrieved_list
     def        A__      (						self	:		List[Any]						):



       """simple docstring"""
       lowerCAmelCase__										=      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"
       lowerCAmelCase__										=      [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

       lowerCAmelCase__										=      tokenizer.decode(__lowerCamelCase       ,						output_char_offsets=__lowerCamelCase       ,						filter_word_delimiter_token=__lowerCamelCase						)
       # 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(__lowerCamelCase       ,						__lowerCamelCase						)						)

       # 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        A__      (						self	:		Union[str, Any]						):



       """simple docstring"""
       lowerCAmelCase__										=      self.get_tokenizer(word_delimiter_token='''|'''						)

       def check_list_tuples_equal(__lowerCamelCase	:		Union[str, Any]       ,						__lowerCamelCase	:		int						):
         self.assertTrue(isinstance(__lowerCamelCase       ,						__lowerCamelCase						)						)
         self.assertTrue(isinstance(outputs_list[0]       ,						__lowerCamelCase						)						)

         # transform list to ModelOutput
         lowerCAmelCase__										=      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(__lowerCamelCase	:		Optional[int]       ,						__lowerCamelCase	:		Optional[Any]						):
           if isinstance(__lowerCamelCase       ,						__lowerCamelCase						):
             [recursive_check(__lowerCamelCase       ,						__lowerCamelCase						) for la, la in zip(__lowerCamelCase       ,						__lowerCamelCase						)]
           self.assertEqual(__lowerCamelCase       ,						__lowerCamelCase						)

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

        # fmt: off
       lowerCAmelCase__										=      [
           [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
       lowerCAmelCase__										=      tokenizer.batch_decode(__lowerCamelCase       ,						output_char_offsets=__lowerCamelCase						)
       lowerCAmelCase__										=      [tokenizer.decode(__lowerCamelCase       ,						output_char_offsets=__lowerCamelCase						) for ids in sample_ids]
       check_list_tuples_equal(__lowerCamelCase       ,						__lowerCamelCase						)
     @unittest.skip('''Wav2Vec2PhonemeTokenizer always lower cases letters to correctly map to phonemes'''						)
     def        A__      (						self	:		str						):



       """simple docstring"""
       pass
     @unittest.skip('''Wav2Vec2PhonemeTokenizer always puts spaces between phonemes'''						)
     def        A__      (						self	:		Union[str, Any]						):



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



       """simple docstring"""
       pass
     @unittest.skip('''Wav2Vec2PhonemeModel has no max model length => no testing'''						)
     def        A__      (						self	:		Union[str, Any]						):



       """simple docstring"""
       pass
     def        A__      (						self	:		Optional[int]						):



       """simple docstring"""
       lowerCAmelCase__										=      self.get_tokenizers(do_lower_case=__lowerCamelCase						)
       for tokenizer in tokenizers:
         with self.subTest(F"""{tokenizer.__class__.__name__}"""						):
           lowerCAmelCase__										=      tokenizer.vocab_size
           lowerCAmelCase__										=      len(__lowerCamelCase						)

           self.assertNotEqual(__lowerCamelCase       ,						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)

           lowerCAmelCase__										=      ['''aaaaa bbbbbb''', '''cccccccccdddddddd''']
           lowerCAmelCase__										=      tokenizer.add_tokens(__lowerCamelCase						)
           lowerCAmelCase__										=      tokenizer.vocab_size
           lowerCAmelCase__										=      len(__lowerCamelCase						)

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

           lowerCAmelCase__										=      tokenizer.encode('''aaaaa bbbbbb low cccccccccdddddddd l'''       ,						add_special_tokens=__lowerCamelCase						)

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

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

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

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

           self.assertGreaterEqual(len(__lowerCamelCase						)       ,						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        A__      (						self	:		Tuple						):



       """simple docstring"""
       pass
     @unittest.skip('''The tokenizer shouldn\'t be used to encode input IDs (except for labels), only to decode.'''						)
     def        A__      (						self	:		Optional[Any]						):



       """simple docstring"""
       pass



     def        A__      (						self	:		int						):



       """simple docstring"""
       # The default common tokenizer tests assumes that the output of `convert_tokens_to_string` is a string which
       # is not the case for Wav2Vec2PhonemeCTCTokenizer.
       lowerCAmelCase__										=      self.get_tokenizers(fast=__lowerCamelCase       ,						do_lower_case=__lowerCamelCase						)
       for tokenizer in tokenizers:
         with self.subTest(F"""{tokenizer.__class__.__name__}"""						):
           lowerCAmelCase__										=      ['''ð''', '''ɪ''', '''s''', '''ɪ''', '''z''', '''ɐ''', '''t''', '''ɛ''', '''k''', '''s''', '''t''']
           lowerCAmelCase__										=      tokenizer.convert_tokens_to_string(__lowerCamelCase						)

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

