


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__						(       lowercase__		,					unittest.TestCase    ):
      snake_case__       :  List[str]       =		WavaVecaPhonemeCTCTokenizer
      snake_case__       :  Optional[int]       =		False
      def  SCREAMING_SNAKE_CASE							( self       : int  )	->    Union[str, Any]:
             super().setUp()

             a_      :	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(' '  )
             a_      :	int							=						dict(zip(SCREAMING_SNAKE_CASE__  ,							range(len(SCREAMING_SNAKE_CASE__  )  )  )  )

             a_      :	Optional[Any]							=						{'pad_token': '<pad>', 'unk_token': '<unk>', 'bos_token': '<s>', 'eos_token': '</s>'}

             a_      :	str							=						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(SCREAMING_SNAKE_CASE__  ) + '\n'  )
      def  SCREAMING_SNAKE_CASE							( self       : int  ,							SCREAMING_SNAKE_CASE__       : Any  ,							SCREAMING_SNAKE_CASE__       : Optional[int]=False  ,							SCREAMING_SNAKE_CASE__       : Tuple=2_0  ,							SCREAMING_SNAKE_CASE__       : int=5  )	->    Tuple[str, list]:
             a_      :	int							=						[(i, tokenizer.decode([i]  ,							clean_up_tokenization_spaces=SCREAMING_SNAKE_CASE__  )) for i in range(len(SCREAMING_SNAKE_CASE__  )  )]
             a_      :	Optional[Any]							=						list(filter(lambda SCREAMING_SNAKE_CASE__  : [t[0]] == tokenizer.encode(t[1]  ,							do_phonemize=SCREAMING_SNAKE_CASE__  )  ,							SCREAMING_SNAKE_CASE__  )  )
             if max_length is not None and len(SCREAMING_SNAKE_CASE__  ) > max_length:
                    a_      :	List[str]							=						toks[:max_length]
             if min_length is not None and len(SCREAMING_SNAKE_CASE__  ) < min_length and len(SCREAMING_SNAKE_CASE__  ) > 0:
                    while len(SCREAMING_SNAKE_CASE__  ) < min_length:
                           a_      :	Dict							=						toks + toks
        # toks_str = [t[1] for t in toks]
             a_      :	int							=						[t[0] for t in toks]

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

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

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

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

             a_      :	Tuple							=						'Hello how are you'
             a_      :	str							=						tokenizer.phonemize(SCREAMING_SNAKE_CASE__  ,							phonemizer_lang='en-us'  )
             self.assertEqual(SCREAMING_SNAKE_CASE__  ,							'h ə l oʊ h aʊ ɑːɹ j uː'  )
      def  SCREAMING_SNAKE_CASE							( self       : str  )	->    int:
             a_      :	Union[str, Any]							=						self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft'  )

             a_      :	Tuple							=						'Hello how are you'
             a_      :	Optional[Any]							=						tokenizer.phonemize(SCREAMING_SNAKE_CASE__  ,							phonemizer_lang='en-us'  )
             self.assertEqual(tokenizer(SCREAMING_SNAKE_CASE__  ).input_ids  ,							tokenizer(SCREAMING_SNAKE_CASE__  ,							do_phonemize=SCREAMING_SNAKE_CASE__  ).input_ids  )
      def  SCREAMING_SNAKE_CASE							( self       : str  )	->    str:
             a_      :	Optional[Any]							=						self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft'  )
             a_      :	List[str]							=						'Hello how are you'
             a_      :	int							=						tokenizer.phonemize(SCREAMING_SNAKE_CASE__  ,							phonemizer_lang='en-us'  )

             a_      :	int							=						tokenizer.decode(tokenizer(SCREAMING_SNAKE_CASE__  ).input_ids  )

             self.assertEqual(SCREAMING_SNAKE_CASE__  ,							SCREAMING_SNAKE_CASE__  )
      def  SCREAMING_SNAKE_CASE							( self       : List[Any]  )	->    str:
             a_      :	Optional[int]							=						self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft'  )

             a_      :	List[str]							=						[
                 [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_      :	str							=						tokenizer.batch_decode(SCREAMING_SNAKE_CASE__  )
             self.assertEqual(SCREAMING_SNAKE_CASE__  ,							batch_tokens[0]  )
             self.assertEqual(SCREAMING_SNAKE_CASE__  ,							['k s ɾ ɾ l ɭʲ', 'j ð s j ð s oːɹ']  )
      def  SCREAMING_SNAKE_CASE							( self       : Union[str, Any]  )	->    Optional[Any]:
             a_      :	List[Any]							=						self.tokenizer_class.from_pretrained(
                 'facebook/wav2vec2-lv-60-espeak-cv-ft'  ,							word_delimiter_token='|'  )
             tokenizer.add_tokens('|'  )

             a_      :	Dict							=						'Hello how are you'
             a_      :	str							=						tokenizer.phonemize(SCREAMING_SNAKE_CASE__  ,							phonemizer_lang='en-us'  )
             self.assertEqual(SCREAMING_SNAKE_CASE__  ,							'h ə l oʊ | h aʊ | ɑːɹ | j uː |'  )
      def  SCREAMING_SNAKE_CASE							( self       : Tuple  )	->    List[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_      :	Any							=						tokenizer.phonemize(SCREAMING_SNAKE_CASE__  ,							phonemizer_lang='en-us'  )
             self.assertEqual(tokenizer(SCREAMING_SNAKE_CASE__  ).input_ids  ,							tokenizer(SCREAMING_SNAKE_CASE__  ,							do_phonemize=SCREAMING_SNAKE_CASE__  ).input_ids  )
      def  SCREAMING_SNAKE_CASE							( self       : Union[str, Any]  )	->    str:
             a_      :	Optional[int]							=						self.tokenizer_class.from_pretrained(
                 'facebook/wav2vec2-lv-60-espeak-cv-ft'  ,							word_delimiter_token='|'  )
             tokenizer.add_tokens('|'  )

             # fmt: off
             a_      :	Any							=						[
                 [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_      :	List[str]							=						tokenizer.decode(sample_ids[0]  )
             a_      :	Union[str, Any]							=						tokenizer.batch_decode(SCREAMING_SNAKE_CASE__  )
             self.assertEqual(SCREAMING_SNAKE_CASE__  ,							batch_tokens[0]  )
             self.assertEqual(SCREAMING_SNAKE_CASE__  ,							['k s ɾ ɾ l ɭʲ', 'j ð s j ð s oːɹ']  )

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

             a_      :	Tuple							=						'Hello how are you'
             a_      :	int							=						tokenizer.phonemize(SCREAMING_SNAKE_CASE__  ,							phonemizer_lang='en-us'  )

             a_      :	List[Any]							=						tokenizer.decode(tokenizer(SCREAMING_SNAKE_CASE__  ).input_ids  ,							filter_word_delimiter_token=SCREAMING_SNAKE_CASE__  )

             self.assertEqual(SCREAMING_SNAKE_CASE__  ,							SCREAMING_SNAKE_CASE__  )
      def  SCREAMING_SNAKE_CASE							( self       : Optional[Any]  )	->    Dict:
             a_      :	Union[str, Any]							=						self.tokenizer_class.from_pretrained(
                 'facebook/wav2vec2-lv-60-espeak-cv-ft'  ,							word_delimiter_token='|'  )
             tokenizer.add_tokens('|'  )

             a_      :	Dict							=						'Hello how are you'
             a_      :	List[str]							=						tokenizer.phonemize(SCREAMING_SNAKE_CASE__  ,							phonemizer_lang='en-us'  )

             a_      :	Optional[Any]							=						tokenizer.decode(tokenizer(SCREAMING_SNAKE_CASE__  ).input_ids  ,							filter_word_delimiter_token=SCREAMING_SNAKE_CASE__  )

             self.assertEqual(' '.join([p.strip() for p in phonemes.split(' |'  )]  ).strip()  ,							SCREAMING_SNAKE_CASE__  )
      def  SCREAMING_SNAKE_CASE							( self       : Optional[int]  )	->    List[Any]:
             a_      :	Optional[Any]							=						self.tokenizer_class.from_pretrained(
                 'facebook/wav2vec2-lv-60-espeak-cv-ft'  ,							word_delimiter_token=SCREAMING_SNAKE_CASE__  )
             a_      :	List[Any]							=						'Hello how are you'

             a_      :	Optional[int]							=						tokenizer(SCREAMING_SNAKE_CASE__  ,							phonemizer_lang='en-us'  ).input_ids
             a_      :	Optional[Any]							=						tokenizer(SCREAMING_SNAKE_CASE__  ,							phonemizer_lang='fr-fr'  ).input_ids

             self.assertNotEqual(SCREAMING_SNAKE_CASE__  ,							SCREAMING_SNAKE_CASE__  )

             a_      :	Dict							=						tokenizer.decode(SCREAMING_SNAKE_CASE__  )
             a_      :	int							=						tokenizer.decode(SCREAMING_SNAKE_CASE__  )

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

             a_      :	Optional[Any]							=						tokenizer(SCREAMING_SNAKE_CASE__  ).input_ids
             a_      :	Tuple							=						tokenizer(SCREAMING_SNAKE_CASE__  ).input_ids

             self.assertEqual(SCREAMING_SNAKE_CASE__  ,							SCREAMING_SNAKE_CASE__  )
      def  SCREAMING_SNAKE_CASE							( self       : List[str]  )	->    Dict:
             a_      :	List[str]							=						self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft'  )
             tokenizer.add_tokens(['!', '?']  )
             tokenizer.add_special_tokens({'cls_token': '$$$'}  )

             # fmt: off
             a_      :	Optional[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_      :	Any							=						tokenizer.batch_decode(SCREAMING_SNAKE_CASE__  )
             self.assertEqual(SCREAMING_SNAKE_CASE__  ,							['k s ɾ ɾ l ɭʲ!?!? $$$', 'j ð s j ð s oːɹ $$$']  )
      @staticmethod
      def  SCREAMING_SNAKE_CASE							( SCREAMING_SNAKE_CASE__       : str  ,							SCREAMING_SNAKE_CASE__       : List[Any]  )	->    List[Any]:
             a_      :	Optional[int]							=						[d[key] for d in offsets]
             return retrieved_list
      def  SCREAMING_SNAKE_CASE							( self       : Any  )	->    List[str]:
             a_      :	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_      :	Optional[int]							=						[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_      :	Optional[int]							=						tokenizer.decode(SCREAMING_SNAKE_CASE__  ,							output_char_offsets=SCREAMING_SNAKE_CASE__  ,							filter_word_delimiter_token=SCREAMING_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(SCREAMING_SNAKE_CASE__  ,							SCREAMING_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  SCREAMING_SNAKE_CASE							( self       : Union[str, Any]  )	->    str:
             a_      :	List[Any]							=						self.get_tokenizer(word_delimiter_token='|'  )

             def check_list_tuples_equal(SCREAMING_SNAKE_CASE__       : Tuple  ,							SCREAMING_SNAKE_CASE__       : str  ):
                    self.assertTrue(isinstance(SCREAMING_SNAKE_CASE__  ,							SCREAMING_SNAKE_CASE__  )  )
                    self.assertTrue(isinstance(outputs_list[0]  ,							SCREAMING_SNAKE_CASE__  )  )

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

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

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

                           self.assertNotEqual(SCREAMING_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_      :	int							=						tokenizer.add_tokens(SCREAMING_SNAKE_CASE__  )
                           a_      :	Union[str, Any]							=						tokenizer.vocab_size
                           a_      :	Optional[Any]							=						len(SCREAMING_SNAKE_CASE__  )

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

                           a_      :	Optional[int]							=						tokenizer.encode('aaaaa bbbbbb low cccccccccdddddddd l'  ,							add_special_tokens=SCREAMING_SNAKE_CASE__  )

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

                           a_      :	Tuple							=						{'eos_token': '>>>>|||<||<<|<<', 'pad_token': '<<<<<|||>|>>>>|>'}
                           a_      :	Optional[Any]							=						tokenizer.add_special_tokens(SCREAMING_SNAKE_CASE__  )
                           a_      :	List[Any]							=						tokenizer.vocab_size
                           a_      :	Optional[Any]							=						len(SCREAMING_SNAKE_CASE__  )

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

                           a_      :	Union[str, Any]							=						tokenizer.encode(
                               '>>>>|||<||<<|<< aaaaabbbbbb low cccccccccdddddddd <<<<<|||>|>>>>|> l'  ,							add_special_tokens=SCREAMING_SNAKE_CASE__  )

                           self.assertGreaterEqual(len(SCREAMING_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  SCREAMING_SNAKE_CASE							( self       : List[Any]  )	->    Union[str, Any]:
             pass
      @unittest.skip('The tokenizer shouldn\'t be used to encode input IDs (except for labels), only to decode.'  )
      def  SCREAMING_SNAKE_CASE							( self       : Dict  )	->    Optional[Any]:
             pass

      def  SCREAMING_SNAKE_CASE							( self       : Dict  )	->    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.
             a_      :	Tuple							=						self.get_tokenizers(fast=SCREAMING_SNAKE_CASE__  ,							do_lower_case=SCREAMING_SNAKE_CASE__  )
             for tokenizer in tokenizers:
                    with self.subTest(F"""{tokenizer.__class__.__name__}"""  ):
                           a_      :	List[Any]							=						['ð', 'ɪ', 's', 'ɪ', 'z', 'ɐ', 't', 'ɛ', 'k', 's', 't']
                           a_      :	Optional[int]							=						tokenizer.convert_tokens_to_string(SCREAMING_SNAKE_CASE__  )

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






def  SCREAMING_SNAKE_CASE_		(    __A				:    str       )			->	list:

       """simple docstring"""

       return [
           txt[:a] + txt[a].upper() + txt[a + 1 :]
           for a in range(len(__A       )       )
           if txt[a].isalpha()
       ]


if __name__ == "__main__":
   __import__('doctest').testmod()


