



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   _A   ( _lowercase  ,						unittest.TestCase	):


						'''simple docstring'''





						_snake_case			:     str      							=      WavaVecaPhonemeCTCTokenizer
						_snake_case			:     List[str]      							=      False



						def     _snake_case	(	self	:							str	):






							'''simple docstring'''



							super().setUp()

							__lowercase		       =			(
							    "<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(" "	)
							__lowercase		       =			dict(zip(__UpperCamelCase							,      range(len(__UpperCamelCase	)	)	)	)

							__lowercase		       =			{"pad_token": "<pad>", "unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>"}

							__lowercase		       =			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(__UpperCamelCase	) + "\n"	)



						def     _snake_case	(	self	:							Union[str, Any]							,      lowerCamelCase	:							List[Any]							,      lowerCamelCase	:							Any=False							,      lowerCamelCase	:							List[Any]=20							,      lowerCamelCase	:							List[Any]=5	):






							'''simple docstring'''



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

							# Ensure consistency
							__lowercase		       =			tokenizer.decode(__UpperCamelCase							,      clean_up_tokenization_spaces=__UpperCamelCase	)
							if " " not in output_txt and len(__UpperCamelCase	) > 1:
								__lowercase		       =			(
								    tokenizer.decode([toks_ids[0]]							,      clean_up_tokenization_spaces=__UpperCamelCase	)
								    + " "
								    + tokenizer.decode(toks_ids[1:]							,      clean_up_tokenization_spaces=__UpperCamelCase	)
								)
							if with_prefix_space:
								__lowercase		       =			" " + output_txt
							__lowercase		       =			tokenizer.encode(__UpperCamelCase							,      add_special_tokens=__UpperCamelCase	)
							return output_txt, output_ids



						def     _snake_case	(	self	:							str							,      **lowerCamelCase	:							str	):






							'''simple docstring'''



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



						def     _snake_case	(	self	:							List[Any]	):






							'''simple docstring'''



							__lowercase		       =			self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"	)

							# check adding a single token
							tokenizer.add_tokens("xxx"	)
							__lowercase		       =			tokenizer("m xxx ɪ"							,      do_phonemize=__UpperCamelCase	).input_ids
							self.assertEqual(__UpperCamelCase							,      [13, 392, 17]	)  # xxx should be last token

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

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



						def     _snake_case	(	self	:							Dict	):






							'''simple docstring'''



							__lowercase		       =			self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"	)

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



						def     _snake_case	(	self	:							List[str]	):






							'''simple docstring'''



							__lowercase		       =			self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"	)

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



						def     _snake_case	(	self	:							List[Any]	):






							'''simple docstring'''



							__lowercase		       =			self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"	)
							__lowercase		       =			"Hello how are you"
							__lowercase		       =			tokenizer.phonemize(__UpperCamelCase							,      phonemizer_lang="en-us"	)

							__lowercase		       =			tokenizer.decode(tokenizer(__UpperCamelCase	).input_ids	)

							self.assertEqual(__UpperCamelCase							,      __UpperCamelCase	)



						def     _snake_case	(	self	:							Tuple	):






							'''simple docstring'''



							__lowercase		       =			self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"	)

							__lowercase		       =			[
							    [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98],
							    [24, 22, 5, 24, 22, 5, 77],
							]
							__lowercase		       =			tokenizer.decode(sample_ids[0]	)
							__lowercase		       =			tokenizer.batch_decode(__UpperCamelCase	)
							self.assertEqual(__UpperCamelCase							,      batch_tokens[0]	)
							self.assertEqual(__UpperCamelCase							,      ["k s ɾ ɾ l ɭʲ", "j ð s j ð s oːɹ"]	)



						def     _snake_case	(	self	:							List[Any]	):






							'''simple docstring'''



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

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



						def     _snake_case	(	self	:							List[Any]	):






							'''simple docstring'''



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

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



						def     _snake_case	(	self	:							Union[str, Any]	):






							'''simple docstring'''



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

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

							# decode with no word_del_token filter
							__lowercase		       =			tokenizer.decode(sample_ids[0]							,      filter_word_delimiter_token=__UpperCamelCase	)
							__lowercase		       =			tokenizer.batch_decode(__UpperCamelCase							,      filter_word_delimiter_token=__UpperCamelCase	)
							self.assertEqual(__UpperCamelCase							,      batch_tokens[0]	)
							self.assertEqual(__UpperCamelCase							,      ["k s ɾ | ɾ l | ɭʲ", "| j ð | s j ð s oːɹ"]	)



						def     _snake_case	(	self	:							Dict	):






							'''simple docstring'''



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

							__lowercase		       =			"Hello how are you"
							__lowercase		       =			tokenizer.phonemize(__UpperCamelCase							,      phonemizer_lang="en-us"	)

							__lowercase		       =			tokenizer.decode(tokenizer(__UpperCamelCase	).input_ids							,      filter_word_delimiter_token=__UpperCamelCase	)

							self.assertEqual(__UpperCamelCase							,      __UpperCamelCase	)



						def     _snake_case	(	self	:							Dict	):






							'''simple docstring'''



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

							__lowercase		       =			"Hello how are you"
							__lowercase		       =			tokenizer.phonemize(__UpperCamelCase							,      phonemizer_lang="en-us"	)

							__lowercase		       =			tokenizer.decode(tokenizer(__UpperCamelCase	).input_ids							,      filter_word_delimiter_token=__UpperCamelCase	)

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



						def     _snake_case	(	self	:							Dict	):






							'''simple docstring'''



							__lowercase		       =			self.tokenizer_class.from_pretrained(
							    "facebook/wav2vec2-lv-60-espeak-cv-ft"							,      word_delimiter_token=__UpperCamelCase	)
							__lowercase		       =			"Hello how are you"

							__lowercase		       =			tokenizer(__UpperCamelCase							,      phonemizer_lang="en-us"	).input_ids
							__lowercase		       =			tokenizer(__UpperCamelCase							,      phonemizer_lang="fr-fr"	).input_ids

							self.assertNotEqual(__UpperCamelCase							,      __UpperCamelCase	)

							__lowercase		       =			tokenizer.decode(__UpperCamelCase	)
							__lowercase		       =			tokenizer.decode(__UpperCamelCase	)

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



						def     _snake_case	(	self	:							List[Any]	):






							'''simple docstring'''



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

							__lowercase		       =			tokenizer(__UpperCamelCase	).input_ids
							__lowercase		       =			tokenizer(__UpperCamelCase	).input_ids

							self.assertEqual(__UpperCamelCase							,      __UpperCamelCase	)



						def     _snake_case	(	self	:							List[str]	):






							'''simple docstring'''



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

							# fmt: off
							__lowercase		       =			[
							    [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

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



						@staticmethod
						def     _snake_case	(	lowerCamelCase	:							str							,      lowerCamelCase	:							int	):






							'''simple docstring'''



							__lowercase		       =			[d[key] for d in offsets]
							return retrieved_list



						def     _snake_case	(	self	:							int	):






							'''simple docstring'''



							__lowercase		       =			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"
							__lowercase		       =			[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

							__lowercase		       =			tokenizer.decode(__UpperCamelCase							,      output_char_offsets=__UpperCamelCase							,      filter_word_delimiter_token=__UpperCamelCase	)
							# 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(__UpperCamelCase							,      __UpperCamelCase	)	)

							# 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	:							str	):






							'''simple docstring'''



							__lowercase		       =			self.get_tokenizer(word_delimiter_token="|"	)

							def check_list_tuples_equal(lowerCamelCase	:							int							,      lowerCamelCase	:							int	):
								self.assertTrue(isinstance(__UpperCamelCase							,      __UpperCamelCase	)	)
								self.assertTrue(isinstance(outputs_list[0]							,      __UpperCamelCase	)	)

								# transform list to ModelOutput
								__lowercase		       =			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	:							Dict							,      lowerCamelCase	:							Optional[Any]	):
									if isinstance(__UpperCamelCase							,      __UpperCamelCase	):
										[recursive_check(__UpperCamelCase							,      __UpperCamelCase	) for la, la in zip(__UpperCamelCase							,      __UpperCamelCase	)]
									self.assertEqual(__UpperCamelCase							,      __UpperCamelCase	)

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

        # fmt: off
							__lowercase		       =			[
							    [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
							__lowercase		       =			tokenizer.batch_decode(__UpperCamelCase							,      output_char_offsets=__UpperCamelCase	)
							__lowercase		       =			[tokenizer.decode(__UpperCamelCase							,      output_char_offsets=__UpperCamelCase	) for ids in sample_ids]
							check_list_tuples_equal(__UpperCamelCase							,      __UpperCamelCase	)



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






							'''simple docstring'''



							pass



						@unittest.skip("Wav2Vec2PhonemeTokenizer always puts spaces between phonemes"	)
						def     _snake_case	(	self	:							Optional[int]	):






							'''simple docstring'''



							pass



						@unittest.skip("encodes to text to ids, but decodes ids to phonemes -> not possible to have internal consistency"	)
						def     _snake_case	(	self	:							Dict	):






							'''simple docstring'''



							pass



						@unittest.skip("Wav2Vec2PhonemeModel has no max model length => no testing"	)
						def     _snake_case	(	self	:							int	):






							'''simple docstring'''



							pass



						def     _snake_case	(	self	:							Tuple	):






							'''simple docstring'''



							__lowercase		       =			self.get_tokenizers(do_lower_case=__UpperCamelCase	)
							for tokenizer in tokenizers:
								with self.subTest(f"""{tokenizer.__class__.__name__}"""	):
									__lowercase		       =			tokenizer.vocab_size
									__lowercase		       =			len(__UpperCamelCase	)

									self.assertNotEqual(__UpperCamelCase							,      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)

									__lowercase		       =			["aaaaa bbbbbb", "cccccccccdddddddd"]
									__lowercase		       =			tokenizer.add_tokens(__UpperCamelCase	)
									__lowercase		       =			tokenizer.vocab_size
									__lowercase		       =			len(__UpperCamelCase	)

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

									__lowercase		       =			tokenizer.encode("aaaaa bbbbbb low cccccccccdddddddd l"							,      add_special_tokens=__UpperCamelCase	)

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

									__lowercase		       =			{"eos_token": ">>>>|||<||<<|<<", "pad_token": "<<<<<|||>|>>>>|>"}
									__lowercase		       =			tokenizer.add_special_tokens(__UpperCamelCase	)
									__lowercase		       =			tokenizer.vocab_size
									__lowercase		       =			len(__UpperCamelCase	)

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

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

									self.assertGreaterEqual(len(__UpperCamelCase	)							,      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]	):






							'''simple docstring'''



							pass



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






							'''simple docstring'''



							pass



						def     _snake_case	(	self	:							Union[str, Any]	):






							'''simple docstring'''



							__lowercase		       =			self.get_tokenizers(fast=__UpperCamelCase							,      do_lower_case=__UpperCamelCase	)
							for tokenizer in tokenizers:
								with self.subTest(f"""{tokenizer.__class__.__name__}"""	):
									__lowercase		       =			["ð", "ɪ", "s", "ɪ", "z", "ɐ", "t", "ɛ", "k", "s", "t"]
									__lowercase		       =			tokenizer.convert_tokens_to_string(__UpperCamelCase	)

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








import os
import sys
from contextlib import contextmanager


# Windows only
if os.name == "nt":
	import ctypes
	import msvcrt  # noqa

	class   _A   ( ctypes.Structure	):


							'''simple docstring'''





							_snake_case			:     Optional[Any]      							=      [("""size""", ctypes.c_int), ("""visible""", ctypes.c_byte)]



def    snake_case_				(    ):
	if os.name == "nt":
		__lowercase		       =			CursorInfo()
		__lowercase		       =			ctypes.windll.kernelaa.GetStdHandle(-1_1   )
		ctypes.windll.kernelaa.GetConsoleCursorInfo(_SCREAMING_SNAKE_CASE  ,	ctypes.byref(_SCREAMING_SNAKE_CASE   )   )
		__lowercase		       =			False
		ctypes.windll.kernelaa.SetConsoleCursorInfo(_SCREAMING_SNAKE_CASE  ,	ctypes.byref(_SCREAMING_SNAKE_CASE   )   )
	elif os.name == "posix":
		sys.stdout.write("\033[?25l"   )
		sys.stdout.flush()



def    snake_case_				(    ):
	if os.name == "nt":
		__lowercase		       =			CursorInfo()
		__lowercase		       =			ctypes.windll.kernelaa.GetStdHandle(-1_1   )
		ctypes.windll.kernelaa.GetConsoleCursorInfo(_SCREAMING_SNAKE_CASE  ,	ctypes.byref(_SCREAMING_SNAKE_CASE   )   )
		__lowercase		       =			True
		ctypes.windll.kernelaa.SetConsoleCursorInfo(_SCREAMING_SNAKE_CASE  ,	ctypes.byref(_SCREAMING_SNAKE_CASE   )   )
	elif os.name == "posix":
		sys.stdout.write("\033[?25h"   )
		sys.stdout.flush()



@contextmanager
def    snake_case_				(    ):
	try:
		hide_cursor()
		yield
	finally:
		show_cursor()



