


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       __magic_name__	(     __lowerCAmelCase					,				unittest.TestCase):
     A:		Tuple			=      WavaVecaPhonemeCTCTokenizer
     A:		Union[str, Any]			=      False


     def      UpperCAmelCase__	(      self							:     Union[str, Any]			)  ->      Optional[Any]:





      '''simple docstring'''






      super().setUp()

      UpperCamelCase__					:    List[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(''' '''			)
      UpperCamelCase__					:    int          =   dict(zip(lowerCamelCase__							,	range(len(lowerCamelCase__			)			)			)			)

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

      UpperCamelCase__					:    Optional[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(lowerCamelCase__			) + '''\n'''			)


     def      UpperCAmelCase__	(      self							:     Any							,	lowerCamelCase__							:     Tuple							,	lowerCamelCase__							:     Tuple=False							,	lowerCamelCase__							:     int=20							,	lowerCamelCase__							:     Dict=5			)  ->      Tuple[str, list]:





      '''simple docstring'''






      UpperCamelCase__					:    str          =   [(i, tokenizer.decode([i]							,	clean_up_tokenization_spaces=lowerCamelCase__			)) for i in range(len(lowerCamelCase__			)			)]
      UpperCamelCase__					:    str          =   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:
       UpperCamelCase__					:    int          =   toks[:max_length]
      if min_length is not None and len(lowerCamelCase__			) < min_length and len(lowerCamelCase__			) > 0:
       while len(lowerCamelCase__			) < min_length:
        UpperCamelCase__					:    List[Any]          =   toks + toks
        # toks_str = [t[1] for t in toks]
      UpperCamelCase__					:    Tuple          =   [t[0] for t in toks]

      # Ensure consistency
      UpperCamelCase__					:    Tuple          =   tokenizer.decode(lowerCamelCase__							,	clean_up_tokenization_spaces=lowerCamelCase__			)
      if " " not in output_txt and len(lowerCamelCase__			) > 1:
       UpperCamelCase__					:    Any          =   (
           tokenizer.decode([toks_ids[0]]							,	clean_up_tokenization_spaces=lowerCamelCase__			)
           + ''' '''
           + tokenizer.decode(toks_ids[1:]							,	clean_up_tokenization_spaces=lowerCamelCase__			)
       )
      if with_prefix_space:
       UpperCamelCase__					:    Union[str, Any]          =   ''' ''' + output_txt
      UpperCamelCase__					:    Optional[int]          =   tokenizer.encode(lowerCamelCase__							,	add_special_tokens=lowerCamelCase__			)
      return output_txt, output_ids


     def      UpperCAmelCase__	(      self							:     Tuple							,	**lowerCamelCase__							:     int			)  ->      Dict:





      '''simple docstring'''






      kwargs.update(self.special_tokens_map			)
      return WavaVecaPhonemeCTCTokenizer.from_pretrained(self.tmpdirname							,	**lowerCamelCase__			)


     def      UpperCAmelCase__	(      self							:     List[Any]			)  ->      Optional[Any]:





      '''simple docstring'''






      UpperCamelCase__					:    Tuple          =   self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft'''			)

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

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

      UpperCamelCase__					:    Optional[Any]          =   tokenizer('''maɪ c'''							,	do_phonemize=lowerCamelCase__			).input_ids
      self.assertEqual(lowerCamelCase__							,	[3, 200]			)  # mai should be <unk> (=3)


     def      UpperCAmelCase__	(      self							:     Any			)  ->      str:





      '''simple docstring'''






      UpperCamelCase__					:    Optional[int]          =   self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft'''			)

      UpperCamelCase__					:    Optional[Any]          =   '''Hello how are you'''
      UpperCamelCase__					:    Union[str, Any]          =   tokenizer.phonemize(lowerCamelCase__							,	phonemizer_lang='''en-us'''			)
      self.assertEqual(lowerCamelCase__							,	'''h ə l oʊ h aʊ ɑːɹ j uː'''			)


     def      UpperCAmelCase__	(      self							:     Tuple			)  ->      Optional[Any]:





      '''simple docstring'''






      UpperCamelCase__					:    Dict          =   self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft'''			)

      UpperCamelCase__					:    List[Any]          =   '''Hello how are you'''
      UpperCamelCase__					:    Any          =   tokenizer.phonemize(lowerCamelCase__							,	phonemizer_lang='''en-us'''			)
      self.assertEqual(tokenizer(lowerCamelCase__			).input_ids							,	tokenizer(lowerCamelCase__							,	do_phonemize=lowerCamelCase__			).input_ids			)


     def      UpperCAmelCase__	(      self							:     Any			)  ->      Any:





      '''simple docstring'''






      UpperCamelCase__					:    Any          =   self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft'''			)
      UpperCamelCase__					:    Dict          =   '''Hello how are you'''
      UpperCamelCase__					:    int          =   tokenizer.phonemize(lowerCamelCase__							,	phonemizer_lang='''en-us'''			)

      UpperCamelCase__					:    List[Any]          =   tokenizer.decode(tokenizer(lowerCamelCase__			).input_ids			)

      self.assertEqual(lowerCamelCase__							,	lowerCamelCase__			)


     def      UpperCAmelCase__	(      self							:     Tuple			)  ->      str:





      '''simple docstring'''






      UpperCamelCase__					:    Dict          =   self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft'''			)

      UpperCamelCase__					:    List[str]          =   [
          [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98],
          [24, 22, 5, 24, 22, 5, 77],
      ]
      UpperCamelCase__					:    int          =   tokenizer.decode(sample_ids[0]			)
      UpperCamelCase__					:    List[Any]          =   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      UpperCAmelCase__	(      self							:     List[Any]			)  ->      Optional[int]:





      '''simple docstring'''






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

      UpperCamelCase__					:    Tuple          =   '''Hello how are you'''
      UpperCamelCase__					:    List[str]          =   tokenizer.phonemize(lowerCamelCase__							,	phonemizer_lang='''en-us'''			)
      self.assertEqual(lowerCamelCase__							,	'''h ə l oʊ | h aʊ | ɑːɹ | j uː |'''			)


     def      UpperCAmelCase__	(      self							:     int			)  ->      List[str]:





      '''simple docstring'''






      UpperCamelCase__					:    List[str]          =   self.tokenizer_class.from_pretrained(
          '''facebook/wav2vec2-lv-60-espeak-cv-ft'''							,	word_delimiter_token='''|'''			)
      tokenizer.add_tokens('''|'''			)

      UpperCamelCase__					:    List[str]          =   '''Hello how are you'''
      UpperCamelCase__					:    Optional[Any]          =   tokenizer.phonemize(lowerCamelCase__							,	phonemizer_lang='''en-us'''			)
      self.assertEqual(tokenizer(lowerCamelCase__			).input_ids							,	tokenizer(lowerCamelCase__							,	do_phonemize=lowerCamelCase__			).input_ids			)


     def      UpperCAmelCase__	(      self							:     str			)  ->      Any:





      '''simple docstring'''






      UpperCamelCase__					:    List[str]          =   self.tokenizer_class.from_pretrained(
          '''facebook/wav2vec2-lv-60-espeak-cv-ft'''							,	word_delimiter_token='''|'''			)
      tokenizer.add_tokens('''|'''			)

      # fmt: off
      UpperCamelCase__					:    str          =   [
          [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__					:    List[Any]          =   tokenizer.decode(sample_ids[0]			)
      UpperCamelCase__					:    Tuple          =   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
      UpperCamelCase__					:    int          =   tokenizer.decode(sample_ids[0]							,	filter_word_delimiter_token=lowerCamelCase__			)
      UpperCamelCase__					:    Tuple          =   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      UpperCAmelCase__	(      self							:     Any			)  ->      List[Any]:





      '''simple docstring'''






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

      UpperCamelCase__					:    List[str]          =   '''Hello how are you'''
      UpperCamelCase__					:    Tuple          =   tokenizer.phonemize(lowerCamelCase__							,	phonemizer_lang='''en-us'''			)

      UpperCamelCase__					:    Dict          =   tokenizer.decode(tokenizer(lowerCamelCase__			).input_ids							,	filter_word_delimiter_token=lowerCamelCase__			)

      self.assertEqual(lowerCamelCase__							,	lowerCamelCase__			)


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





      '''simple docstring'''






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

      UpperCamelCase__					:    str          =   '''Hello how are you'''
      UpperCamelCase__					:    Optional[int]          =   tokenizer.phonemize(lowerCamelCase__							,	phonemizer_lang='''en-us'''			)

      UpperCamelCase__					:    List[Any]          =   tokenizer.decode(tokenizer(lowerCamelCase__			).input_ids							,	filter_word_delimiter_token=lowerCamelCase__			)

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


     def      UpperCAmelCase__	(      self							:     Optional[Any]			)  ->      Optional[int]:





      '''simple docstring'''






      UpperCamelCase__					:    Any          =   self.tokenizer_class.from_pretrained(
          '''facebook/wav2vec2-lv-60-espeak-cv-ft'''							,	word_delimiter_token=lowerCamelCase__			)
      UpperCamelCase__					:    Optional[int]          =   '''Hello how are you'''

      UpperCamelCase__					:    Any          =   tokenizer(lowerCamelCase__							,	phonemizer_lang='''en-us'''			).input_ids
      UpperCamelCase__					:    Tuple          =   tokenizer(lowerCamelCase__							,	phonemizer_lang='''fr-fr'''			).input_ids

      self.assertNotEqual(lowerCamelCase__							,	lowerCamelCase__			)

      UpperCamelCase__					:    Union[str, Any]          =   tokenizer.decode(lowerCamelCase__			)
      UpperCamelCase__					:    List[str]          =   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      UpperCAmelCase__	(      self							:     Optional[Any]			)  ->      str:





      '''simple docstring'''






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

      UpperCamelCase__					:    List[Any]          =   tokenizer(lowerCamelCase__			).input_ids
      UpperCamelCase__					:    Optional[Any]          =   tokenizer(lowerCamelCase__			).input_ids

      self.assertEqual(lowerCamelCase__							,	lowerCamelCase__			)


     def      UpperCAmelCase__	(      self							:     int			)  ->      Tuple:





      '''simple docstring'''






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

      # fmt: off
      UpperCamelCase__					:    Union[str, Any]          =   [
          [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__					:    str          =   tokenizer.batch_decode(lowerCamelCase__			)
      self.assertEqual(lowerCamelCase__							,	['''k s ɾ ɾ l ɭʲ!?!? $$$''', '''j ð s j ð s oːɹ $$$''']			)


     @staticmethod
     def      UpperCAmelCase__	(      lowerCamelCase__							:     str							,	lowerCamelCase__							:     str			)  ->      List[str]:





      '''simple docstring'''






      UpperCamelCase__					:    Optional[int]          =   [d[key] for d in offsets]
      return retrieved_list


     def      UpperCAmelCase__	(      self							:     List[str]			)  ->      List[str]:





      '''simple docstring'''






      UpperCamelCase__					:    Optional[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"
      UpperCamelCase__					:    Optional[int]          =   [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__					:    int          =   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      UpperCAmelCase__	(      self							:     List[Any]			)  ->      Union[str, Any]:





      '''simple docstring'''






      UpperCamelCase__					:    Tuple          =   self.get_tokenizer(word_delimiter_token='''|'''			)

      def check_list_tuples_equal(lowerCamelCase__							:     List[Any]							,	lowerCamelCase__							:     Any			):
       self.assertTrue(isinstance(lowerCamelCase__							,	lowerCamelCase__			)			)
       self.assertTrue(isinstance(outputs_list[0]							,	lowerCamelCase__			)			)

       # transform list to ModelOutput
       UpperCamelCase__					:    List[str]          =   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__							:     str			):
        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
      UpperCamelCase__					:    List[str]          =   [
          [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__					:    Tuple          =   tokenizer.batch_decode(lowerCamelCase__							,	output_char_offsets=lowerCamelCase__			)
      UpperCamelCase__					:    Union[str, Any]          =   [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      UpperCAmelCase__	(      self							:     Any			)  ->      Union[str, Any]:





      '''simple docstring'''






      pass


     @unittest.skip('''Wav2Vec2PhonemeTokenizer always puts spaces between phonemes'''			)
     def      UpperCAmelCase__	(      self							:     str			)  ->      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      UpperCAmelCase__	(      self							:     str			)  ->      Tuple:





      '''simple docstring'''






      pass


     @unittest.skip('''Wav2Vec2PhonemeModel has no max model length => no testing'''			)
     def      UpperCAmelCase__	(      self							:     Dict			)  ->      Optional[Any]:





      '''simple docstring'''






      pass


     def      UpperCAmelCase__	(      self							:     Tuple			)  ->      Optional[int]:





      '''simple docstring'''






      UpperCamelCase__					:    int          =   self.get_tokenizers(do_lower_case=lowerCamelCase__			)
      for tokenizer in tokenizers:
       with self.subTest(F"{tokenizer.__class__.__name__}"			):
        UpperCamelCase__					:    Tuple          =   tokenizer.vocab_size
        UpperCamelCase__					:    str          =   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)

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

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

        UpperCamelCase__					:    Optional[Any]          =   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			)

        UpperCamelCase__					:    Tuple          =   {'''eos_token''': '''>>>>|||<||<<|<<''', '''pad_token''': '''<<<<<|||>|>>>>|>'''}
        UpperCamelCase__					:    Tuple          =   tokenizer.add_special_tokens(lowerCamelCase__			)
        UpperCamelCase__					:    Union[str, Any]          =   tokenizer.vocab_size
        UpperCamelCase__					:    Union[str, Any]          =   len(lowerCamelCase__			)

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

        UpperCamelCase__					:    Optional[int]          =   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      UpperCAmelCase__	(      self							:     str			)  ->      Optional[int]:





      '''simple docstring'''






      pass


     @unittest.skip('''The tokenizer shouldn\'t be used to encode input IDs (except for labels), only to decode.'''			)
     def      UpperCAmelCase__	(      self							:     str			)  ->      Tuple:





      '''simple docstring'''






      pass


     def      UpperCAmelCase__	(      self							:     Optional[Any]			)  ->      Optional[int]:





      '''simple docstring'''






      UpperCamelCase__					:    List[Any]          =   self.get_tokenizers(fast=lowerCamelCase__							,	do_lower_case=lowerCamelCase__			)
      for tokenizer in tokenizers:
       with self.subTest(F"{tokenizer.__class__.__name__}"			):
        UpperCamelCase__					:    List[str]          =   ['''ð''', '''ɪ''', '''s''', '''ɪ''', '''z''', '''ɐ''', '''t''', '''ɛ''', '''k''', '''s''', '''t''']
        UpperCamelCase__					:    List[Any]          =   tokenizer.convert_tokens_to_string(lowerCamelCase__			)

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






import unittest

from transformers import BarthezTokenizer, BarthezTokenizerFast, BatchEncoding
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin

@require_tokenizers
@require_sentencepiece
@slow  # see https://github.com/huggingface/transformers/issues/11457
class       __magic_name__	(     __lowerCAmelCase					,				unittest.TestCase):
     A:		Optional[int]			=      BarthezTokenizer
     A:		Optional[int]			=      BarthezTokenizerFast
     A:		str			=      True
     A:		Optional[int]			=      True


     def      UpperCAmelCase__	(      self							:     List[Any]			)  ->      str:





      '''simple docstring'''






      super().setUp()

      UpperCamelCase__					:    Optional[Any]          =   BarthezTokenizerFast.from_pretrained('''moussaKam/mbarthez'''			)
      tokenizer.save_pretrained(self.tmpdirname			)
      tokenizer.save_pretrained(self.tmpdirname							,	legacy_format=lowerCamelCase__			)
      UpperCamelCase__					:    int          =   tokenizer


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





      '''simple docstring'''






      UpperCamelCase__					:    Optional[int]          =   '''<pad>'''
      UpperCamelCase__					:    List[str]          =   1

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


     def      UpperCAmelCase__	(      self							:     int			)  ->      Tuple:





      '''simple docstring'''






      UpperCamelCase__					:    int          =   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(lowerCamelCase__			)							,	101122			)


     def      UpperCAmelCase__	(      self							:     Optional[Any]			)  ->      str:





      '''simple docstring'''






      self.assertEqual(self.get_tokenizer().vocab_size							,	101122			)


     @require_torch
     def      UpperCAmelCase__	(      self							:     Dict			)  ->      Tuple:





      '''simple docstring'''






      UpperCamelCase__					:    Dict          =   ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
      UpperCamelCase__					:    Any          =   [0, 57, 3018, 70307, 91, 2]

      UpperCamelCase__					:    Optional[int]          =   self.tokenizer(
          lowerCamelCase__							,	max_length=len(lowerCamelCase__			)							,	padding=lowerCamelCase__							,	truncation=lowerCamelCase__							,	return_tensors='''pt'''			)
      self.assertIsInstance(lowerCamelCase__							,	lowerCamelCase__			)

      self.assertEqual((2, 6)							,	batch.input_ids.shape			)
      self.assertEqual((2, 6)							,	batch.attention_mask.shape			)
      UpperCamelCase__					:    List[Any]          =   batch.input_ids.tolist()[0]
      self.assertListEqual(lowerCamelCase__							,	lowerCamelCase__			)


     def      UpperCAmelCase__	(      self							:     str			)  ->      List[Any]:





      '''simple docstring'''






      if not self.test_rust_tokenizer:
       return

      UpperCamelCase__					:    List[Any]          =   self.get_tokenizer()
      UpperCamelCase__					:    Optional[int]          =   self.get_rust_tokenizer()

      UpperCamelCase__					:    Any          =   '''I was born in 92000, and this is falsé.'''

      UpperCamelCase__					:    List[str]          =   tokenizer.tokenize(lowerCamelCase__			)
      UpperCamelCase__					:    Tuple          =   rust_tokenizer.tokenize(lowerCamelCase__			)
      self.assertListEqual(lowerCamelCase__							,	lowerCamelCase__			)

      UpperCamelCase__					:    Tuple          =   tokenizer.encode(lowerCamelCase__							,	add_special_tokens=lowerCamelCase__			)
      UpperCamelCase__					:    str          =   rust_tokenizer.encode(lowerCamelCase__							,	add_special_tokens=lowerCamelCase__			)
      self.assertListEqual(lowerCamelCase__							,	lowerCamelCase__			)

      UpperCamelCase__					:    Tuple          =   self.get_rust_tokenizer()
      UpperCamelCase__					:    Optional[int]          =   tokenizer.encode(lowerCamelCase__			)
      UpperCamelCase__					:    str          =   rust_tokenizer.encode(lowerCamelCase__			)
      self.assertListEqual(lowerCamelCase__							,	lowerCamelCase__			)


     @slow
     def      UpperCAmelCase__	(      self							:     List[str]			)  ->      Dict:





      '''simple docstring'''






      UpperCamelCase__					:    Optional[int]          =   {'''input_ids''': [[0, 490, 14328, 4507, 354, 47, 43669, 95, 25, 78117, 20215, 19779, 190, 22, 400, 4, 35343, 80310, 603, 86, 24937, 105, 33438, 94762, 196, 39642, 7, 15, 15933, 173, 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], [0, 10534, 87, 25, 66, 3358, 196, 55289, 8, 82961, 81, 2204, 75203, 7, 15, 763, 12956, 216, 178, 14328, 9595, 1377, 69693, 7, 448, 71021, 196, 18106, 1437, 13974, 108, 9083, 4, 49315, 7, 39, 86, 1326, 2793, 46333, 4, 448, 196, 74588, 7, 49315, 7, 39, 21, 822, 38470, 74, 21, 66723, 62480, 8, 22050, 5, 2]], '''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, 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, 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]]}  # noqa: E501
      # fmt: on

      # moussaKam/mbarthez is a french model. So we also use french texts.
      UpperCamelCase__					:    int          =   [
          '''Le transformeur est un modèle d\'apprentissage profond introduit en 2017, '''
          '''utilisé principalement dans le domaine du traitement automatique des langues (TAL).''',
          '''À l\'instar des réseaux de neurones récurrents (RNN), les transformeurs sont conçus '''
          '''pour gérer des données séquentielles, telles que le langage naturel, pour des tâches '''
          '''telles que la traduction et la synthèse de texte.''',
      ]

      self.tokenizer_integration_test_util(
          expected_encoding=lowerCamelCase__							,	model_name='''moussaKam/mbarthez'''							,	revision='''c2e4ecbca5e3cd2c37fe1ac285ca4fbdf1366fb6'''							,	sequences=lowerCamelCase__							,	)


