


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

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

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

         a_ :		Tuple							=  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    :	Union[str, Any]					,							SCREAMING_SNAKE_CASE__    :	List[str]					,							SCREAMING_SNAKE_CASE__    :	Optional[int]=False					,							SCREAMING_SNAKE_CASE__    :	List[str]=2_0					,							SCREAMING_SNAKE_CASE__    :	Optional[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_ :		Dict							=  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_ :		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_ :		List[Any]							=  toks + toks
        # toks_str = [t[1] for t in toks]
         a_ :		Optional[int]							=  [t[0] for t in toks]

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

         # check adding a single token
         tokenizer.add_tokens('xxx'					)
         a_ :		Optional[int]							=  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_ :		str							=  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_ :		str							=  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[Any]					)		->      Optional[int]:
         a_ :		Optional[int]							=  self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft'					)

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

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

         a_ :		Tuple							=  [
             [1_1, 5, 1_5, tokenizer.pad_token_id, 1_5, 8, 9_8],
             [2_4, 2_2, 5, 2_4, 2_2, 5, 7_7],
         ]
         a_ :		Any							=  tokenizer.decode(sample_ids[0]					)
         a_ :		Tuple							=  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    :	Any					)		->      Dict:
         a_ :		List[Any]							=  self.tokenizer_class.from_pretrained(
             'facebook/wav2vec2-lv-60-espeak-cv-ft'					,							word_delimiter_token='|'					)
         tokenizer.add_tokens('|'					)

         a_ :		Union[str, Any]							=  'Hello how are you'
         a_ :		Optional[int]							=  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					)		->      Optional[Any]:
         a_ :		Any							=  self.tokenizer_class.from_pretrained(
             'facebook/wav2vec2-lv-60-espeak-cv-ft'					,							word_delimiter_token='|'					)
         tokenizer.add_tokens('|'					)

         a_ :		int							=  'Hello how are you'
         a_ :		Tuple							=  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					)		->      List[str]:
         a_ :		Optional[Any]							=  self.tokenizer_class.from_pretrained(
             'facebook/wav2vec2-lv-60-espeak-cv-ft'					,							word_delimiter_token='|'					)
         tokenizer.add_tokens('|'					)

         # fmt: off
         a_ :		Union[str, 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_ :		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_ :		int							=  tokenizer.decode(sample_ids[0]					,							filter_word_delimiter_token=SCREAMING_SNAKE_CASE__					)
         a_ :		Tuple							=  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    :	Dict					)		->      int:
         a_ :		Dict							=  self.tokenizer_class.from_pretrained(
             'facebook/wav2vec2-lv-60-espeak-cv-ft'					,							word_delimiter_token='|'					)
         tokenizer.add_tokens('|'					)

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

         a_ :		Union[str, 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    :	List[str]					)		->      Tuple:
         a_ :		Optional[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_ :		Tuple							=  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    :	int					)		->      List[Any]:
         a_ :		Tuple							=  self.tokenizer_class.from_pretrained(
             'facebook/wav2vec2-lv-60-espeak-cv-ft'					,							word_delimiter_token=SCREAMING_SNAKE_CASE__					)
         a_ :		Union[str, Any]							=  'Hello how are you'

         a_ :		Tuple							=  tokenizer(SCREAMING_SNAKE_CASE__					,							phonemizer_lang='en-us'					).input_ids
         a_ :		Dict							=  tokenizer(SCREAMING_SNAKE_CASE__					,							phonemizer_lang='fr-fr'					).input_ids

         self.assertNotEqual(SCREAMING_SNAKE_CASE__					,							SCREAMING_SNAKE_CASE__					)

         a_ :		int							=  tokenizer.decode(SCREAMING_SNAKE_CASE__					)
         a_ :		str							=  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    :	Union[str, Any]					)		->      Optional[Any]:
         a_ :		str							=  self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft'					)
         a_ :		Optional[int]							=  'Hello how Are you'
         a_ :		Any							=  'hello how are you'

         a_ :		Union[str, Any]							=  tokenizer(SCREAMING_SNAKE_CASE__					).input_ids
         a_ :		List[str]							=  tokenizer(SCREAMING_SNAKE_CASE__					).input_ids

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

         # fmt: off
         a_ :		Union[str, Any]							=  [
             [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_ :		str							=  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__    :	Union[str, Any]					,							SCREAMING_SNAKE_CASE__    :	str					)		->      List[str]:
         a_ :		Optional[Any]							=  [d[key] for d in offsets]
         return retrieved_list
      def 	SCREAMING_SNAKE_CASE							(	self    :	Optional[int]					)		->      List[Any]:
         a_ :		Tuple							=  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_ :		str							=  [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_ :		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    :	List[Any]					)		->      int:
         a_ :		Optional[int]							=  self.get_tokenizer(word_delimiter_token='|'					)

         def check_list_tuples_equal(SCREAMING_SNAKE_CASE__    :	Optional[int]					,							SCREAMING_SNAKE_CASE__    :	Tuple					):
            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__    :	Dict					,							SCREAMING_SNAKE_CASE__    :	Optional[Any]					):
               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_ :		Union[str, Any]							=  [
             [1_1, 5, 1_5, tokenizer.pad_token_id, 1_5, 4, 8, 9_8, 3_2, 3_2, 3_2, 3_2, 4, 3_3, tokenizer.word_delimiter_token_id, 3_2, 3_2, 3_3, 3_4, 3_4],
             [2_4, 2_2, 5, tokenizer.word_delimiter_token_id, tokenizer.word_delimiter_token_id, 2_4, 2_2, 2_2, 2_2, 4, 5, 7_7, tokenizer.pad_token_id, 2_2, 2_2, 4, 3_4, 3_4, 3_4, 3_4],
         ]
         # fmt: on

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

         # char
         a_ :		str							=  tokenizer.batch_decode(SCREAMING_SNAKE_CASE__					,							output_char_offsets=SCREAMING_SNAKE_CASE__					)
         a_ :		List[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    :	Union[str, Any]					)		->      Optional[int]:
         pass
      @unittest.skip('Wav2Vec2PhonemeTokenizer always puts spaces between phonemes'					)
      def 	SCREAMING_SNAKE_CASE							(	self    :	Optional[int]					)		->      int:
         pass
      @unittest.skip('encodes to text to ids, but decodes ids to phonemes -> not possible to have internal consistency'					)
      def 	SCREAMING_SNAKE_CASE							(	self    :	Union[str, Any]					)		->      int:
         pass
      @unittest.skip('Wav2Vec2PhonemeModel has no max model length => no testing'					)
      def 	SCREAMING_SNAKE_CASE							(	self    :	int					)		->      Tuple:
         pass
      def 	SCREAMING_SNAKE_CASE							(	self    :	Optional[Any]					)		->      List[str]:
         a_ :		Tuple							=  self.get_tokenizers(do_lower_case=SCREAMING_SNAKE_CASE__					)
         for tokenizer in tokenizers:
            with self.subTest(F"""{tokenizer.__class__.__name__}"""					):
               a_ :		Any							=  tokenizer.vocab_size
               a_ :		List[str]							=  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_ :		List[str]							=  tokenizer.vocab_size
               a_ :		Optional[int]							=  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_ :		Tuple							=  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_ :		List[Any]							=  {'eos_token': '>>>>|||<||<<|<<', 'pad_token': '<<<<<|||>|>>>>|>'}
               a_ :		Optional[Any]							=  tokenizer.add_special_tokens(SCREAMING_SNAKE_CASE__					)
               a_ :		Dict							=  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_ :		List[str]							=  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    :	Dict					)		->      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    :	List[Any]					)		->      Union[str, Any]:
         pass

      def 	SCREAMING_SNAKE_CASE							(	self    :	Optional[int]					)		->      Any:
         # 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_ :		Any							=  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_ :		Optional[Any]							=  ['ð', 'ɪ', 's', 'ɪ', 'z', 'ɐ', 't', 'ɛ', 'k', 's', 't']
               a_ :		Dict							=  tokenizer.convert_tokens_to_string(SCREAMING_SNAKE_CASE__					)

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






import json
import sys







def 	SCREAMING_SNAKE_CASE_						(      __A			:      Optional[Any]  ,   __A			:      List[str]    )     ->		Tuple:

       """simple docstring"""

       with open(__A  ,   encoding='utf-8'    ) as f:
              a_ :		Union[str, Any]							=  json.load(__A    )

       a_ :		Any							=  ['<details>', '<summary>Show updated benchmarks!</summary>', ' ']

       for benchmark_name in sorted(__A    ):
              a_ :		List[str]							=  results[benchmark_name]

              a_ :		int							=  benchmark_name.split('/'    )[-1]
              output_md.append(F"""### Benchmark: {benchmark_file_name}"""    )

              a_ :		Any							=  '| metric |'
              a_ :		Optional[Any]							=  '|--------|'
              a_ :		int							=  '| new / old (diff) |'
              for metric_name in sorted(__A    ):
                     a_ :		List[Any]							=  benchmark_res[metric_name]
                     a_ :		int							=  metric_vals['new']
                     a_ :		Union[str, Any]							=  metric_vals.get('old'  ,   __A    )
                     a_ :		Optional[int]							=  metric_vals.get('diff'  ,   __A    )

                     a_ :		str							=  F""" {new_val:f}""" if isinstance(__A  ,   (int, float)    ) else 'None'

                     if old_val is not None:
                            val_str += F""" / {old_val:f}""" if isinstance(__A  ,   (int, float)    ) else "None"
                     if dif_val is not None:
                            val_str += F""" ({dif_val:f})""" if isinstance(__A  ,   (int, float)    ) else "None"

                     title += " " + metric_name + " |"
                     lines += "---|"
                     value += val_str + " |"

              output_md += [title, lines, value, " "]

       output_md.append('</details>'    )

       with open(__A  ,   'w'  ,   encoding='utf-8'    ) as f:
              f.writelines('\n'.join(__A    )    )


if __name__ == "__main__":
   UpperCAmelCase_				:			int   =	sys.argv[1]
   UpperCAmelCase_				:			Any   =	sys.argv[2]

   format_json_to_md(input_json_file, output_md_file)


