





'''simple docstring'''


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       lowerCAmelCase_						(						UpperCAmelCase__  ,unittest.TestCase						):
 __lowerCamelCase  :							Optional[Any]				     =    WavaVecaPhonemeCTCTokenizer
 __lowerCamelCase  :							str				     =    False




 def 							_snake_case      (		self						)			->							List[Any]:
     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(_a	,   range(len(_a						)						)						)						)

     _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(_a						) + "\n"						)




 def 							_snake_case      (		self	,   _lowerCAmelCase	,   _lowerCAmelCase=False	,   _lowerCAmelCase=20	,   _lowerCAmelCase=5						)			->							int:
     _lowerCAmelCase			=					[(i, tokenizer.decode([i]	,   clean_up_tokenization_spaces=_a						)) for i in range(len(_a						)						)]
     _lowerCAmelCase			=					list(filter(lambda _lowerCAmelCase						: [t[0]] == tokenizer.encode(t[1]	,   do_phonemize=_a						)	,   _a						)						)
     if max_length is not None and len(_a						) > max_length:
         _lowerCAmelCase			=					toks[:max_length]
     if min_length is not None and len(_a						) < min_length and len(_a						) > 0:
         while len(_a						) < 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(_a	,   clean_up_tokenization_spaces=_a						)
     if " " not in output_txt and len(_a						) > 1:
         _lowerCAmelCase			=					(
             tokenizer.decode([toks_ids[0]]	,   clean_up_tokenization_spaces=_a						)
             + " "
             + tokenizer.decode(toks_ids[1:]	,   clean_up_tokenization_spaces=_a						)
         )
     if with_prefix_space:
         _lowerCAmelCase			=					" " + output_txt
     _lowerCAmelCase			=					tokenizer.encode(_a	,   add_special_tokens=_a						)
     return output_txt, output_ids




 def 							_snake_case      (		self	,   **_lowerCAmelCase						)			->							str:
     kwargs.update(self.special_tokens_map						)
     return WavaVecaPhonemeCTCTokenizer.from_pretrained(self.tmpdirname	,   **_a						)




 def 							_snake_case      (		self						)			->							Optional[int]:
     _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=_a						).input_ids
     self.assertEqual(_a	,   [13, 392, 17]						)  # xxx should be last token

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

     _lowerCAmelCase			=					tokenizer("maɪ c"	,   do_phonemize=_a						).input_ids
     self.assertEqual(_a	,   [3, 200]						)  # mai should be <unk> (=3)




 def 							_snake_case      (		self						)			->							Optional[int]:
     _lowerCAmelCase			=					self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"						)

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




 def 							_snake_case      (		self						)			->							Any:
     _lowerCAmelCase			=					self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"						)

     _lowerCAmelCase			=					"Hello how are you"
     _lowerCAmelCase			=					tokenizer.phonemize(_a	,   phonemizer_lang="en-us"						)
     self.assertEqual(tokenizer(_a						).input_ids	,   tokenizer(_a	,   do_phonemize=_a						).input_ids						)




 def 							_snake_case      (		self						)			->							Optional[int]:
     _lowerCAmelCase			=					self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"						)
     _lowerCAmelCase			=					"Hello how are you"
     _lowerCAmelCase			=					tokenizer.phonemize(_a	,   phonemizer_lang="en-us"						)

     _lowerCAmelCase			=					tokenizer.decode(tokenizer(_a						).input_ids						)

     self.assertEqual(_a	,   _a						)




 def 							_snake_case      (		self						)			->							List[str]:
     _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(_a						)
     self.assertEqual(_a	,   batch_tokens[0]						)
     self.assertEqual(_a	,   ["k s ɾ ɾ l ɭʲ", "j ð s j ð s oːɹ"]						)




 def 							_snake_case      (		self						)			->							Optional[Any]:
     _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(_a	,   phonemizer_lang="en-us"						)
     self.assertEqual(_a	,   "h ə l oʊ | h aʊ | ɑːɹ | j uː |"						)




 def 							_snake_case      (		self						)			->							Union[str, Any]:
     _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(_a	,   phonemizer_lang="en-us"						)
     self.assertEqual(tokenizer(_a						).input_ids	,   tokenizer(_a	,   do_phonemize=_a						).input_ids						)




 def 							_snake_case      (		self						)			->							List[str]:
     _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(_a						)
     self.assertEqual(_a	,   batch_tokens[0]						)
     self.assertEqual(_a	,   ["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=_a						)
     _lowerCAmelCase			=					tokenizer.batch_decode(_a	,   filter_word_delimiter_token=_a						)
     self.assertEqual(_a	,   batch_tokens[0]						)
     self.assertEqual(_a	,   ["k s ɾ | ɾ l | ɭʲ", "| j ð | s j ð s oːɹ"]						)




 def 							_snake_case      (		self						)			->							Dict:
     _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(_a	,   phonemizer_lang="en-us"						)

     _lowerCAmelCase			=					tokenizer.decode(tokenizer(_a						).input_ids	,   filter_word_delimiter_token=_a						)

     self.assertEqual(_a	,   _a						)




 def 							_snake_case      (		self						)			->							Tuple:
     _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(_a	,   phonemizer_lang="en-us"						)

     _lowerCAmelCase			=					tokenizer.decode(tokenizer(_a						).input_ids	,   filter_word_delimiter_token=_a						)

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




 def 							_snake_case      (		self						)			->							Optional[Any]:
     _lowerCAmelCase			=					self.tokenizer_class.from_pretrained(
         "facebook/wav2vec2-lv-60-espeak-cv-ft"	,   word_delimiter_token=_a						)
     _lowerCAmelCase			=					"Hello how are you"

     _lowerCAmelCase			=					tokenizer(_a	,   phonemizer_lang="en-us"						).input_ids
     _lowerCAmelCase			=					tokenizer(_a	,   phonemizer_lang="fr-fr"						).input_ids

     self.assertNotEqual(_a	,   _a						)

     _lowerCAmelCase			=					tokenizer.decode(_a						)
     _lowerCAmelCase			=					tokenizer.decode(_a						)

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




 def 							_snake_case      (		self						)			->							Optional[int]:
     _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(_a						).input_ids
     _lowerCAmelCase			=					tokenizer(_a						).input_ids

     self.assertEqual(_a	,   _a						)




 def 							_snake_case      (		self						)			->							Optional[Any]:
     _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, 392, 392, 393, 392, 392, 393, 394, 394],
         [24, 22, 5, 24, 22, 5, 77, tokenizer.pad_token_id, 394, 394],
     ]
     # fmt: on

     _lowerCAmelCase			=					tokenizer.batch_decode(_a						)
     self.assertEqual(_a	,   ["k s ɾ ɾ l ɭʲ!?!? $$$", "j ð s j ð s oːɹ $$$"]						)




 @staticmethod
 def 							_snake_case      (		_lowerCAmelCase	,   _lowerCAmelCase						)			->							Optional[Any]:
     _lowerCAmelCase			=					[d[key] for d in offsets]
     return retrieved_list




 def 							_snake_case      (		self						)			->							Union[str, Any]:
     _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(_a	,   output_char_offsets=_a	,   filter_word_delimiter_token=_a						)
     # 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(_a	,   _a						)						)

     # 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 							_snake_case      (		self						)			->							Optional[Any]:
     _lowerCAmelCase			=					self.get_tokenizer(word_delimiter_token="|"						)

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

         # 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	,   _lowerCAmelCase						):
             if isinstance(_a	,   _a						):
                 [recursive_check(_a	,   _a						) for la, la in zip(_a	,   _a						)]
             self.assertEqual(_a	,   _a						)

         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(_a	,   output_char_offsets=_a						)
     _lowerCAmelCase			=					[tokenizer.decode(_a	,   output_char_offsets=_a						) for ids in sample_ids]
     check_list_tuples_equal(_a	,   _a						)




 @unittest.skip("Wav2Vec2PhonemeTokenizer always lower cases letters to correctly map to phonemes"						)
 def 							_snake_case      (		self						)			->							Any:
     pass




 @unittest.skip("Wav2Vec2PhonemeTokenizer always puts spaces between phonemes"						)
 def 							_snake_case      (		self						)			->							Any:
     pass




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




 @unittest.skip("Wav2Vec2PhonemeModel has no max model length => no testing"						)
 def 							_snake_case      (		self						)			->							List[str]:
     pass




 def 							_snake_case      (		self						)			->							Dict:
     _lowerCAmelCase			=					self.get_tokenizers(do_lower_case=_a						)
     for tokenizer in tokenizers:
         with self.subTest(f'''{tokenizer.__class__.__name__}'''						):
             _lowerCAmelCase			=					tokenizer.vocab_size
             _lowerCAmelCase			=					len(_a						)

             self.assertNotEqual(_a	,   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(_a						)
             _lowerCAmelCase			=					tokenizer.vocab_size
             _lowerCAmelCase			=					len(_a						)

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

             _lowerCAmelCase			=					tokenizer.encode("aaaaa bbbbbb low cccccccccdddddddd l"	,   add_special_tokens=_a						)

             self.assertGreaterEqual(len(_a						)	,   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(_a						)
             _lowerCAmelCase			=					tokenizer.vocab_size
             _lowerCAmelCase			=					len(_a						)

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

             _lowerCAmelCase			=					tokenizer.encode(
                 ">>>>|||<||<<|<< aaaaabbbbbb low cccccccccdddddddd <<<<<|||>|>>>>|> l"	,   add_special_tokens=_a						)

             self.assertGreaterEqual(len(_a						)	,   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 							_snake_case      (		self						)			->							List[str]:
     pass




 @unittest.skip("The tokenizer shouldn't be used to encode input IDs (except for labels), only to decode."						)
 def 							_snake_case      (		self						)			->							int:
     pass





 def 							_snake_case      (		self						)			->							List[str]:
     _lowerCAmelCase			=					self.get_tokenizers(fast=_a	,   do_lower_case=_a						)
     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(_a						)

             self.assertIsInstance(output["text"]	,   _a						)








"""simple docstring"""




def     a__ (				snake_case__       , snake_case__ = False				)						->					str:

			if not isinstance(snake_case__       , snake_case__				):
						lowerCamelCase			      =					F'Expected string as input, found {type(snake_case__				)}'
						raise ValueError(snake_case__				)
			if not isinstance(snake_case__       , snake_case__				):
						lowerCamelCase			      =					F'Expected boolean as use_pascal parameter, found {type(snake_case__				)}'
						raise ValueError(snake_case__				)

			lowerCamelCase			      =					input_str.split("""_"""				)

			lowerCamelCase			      =					0 if use_pascal else 1

			lowerCamelCase			      =					words[start_index:]

			lowerCamelCase			      =					[word[0].upper() + word[1:] for word in words_to_capitalize]

			lowerCamelCase			      =					"""""" if use_pascal else words[0]

			return "".join([initial_word, *capitalized_words]				)


if __name__ == "__main__":
					from doctest import testmod

					testmod()



