






'''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  A_						(__SCREAMING_SNAKE_CASE    ,       unittest.TestCase				):
							"""simple docstring"""




							a__ 		=						WavaVecaPhonemeCTCTokenizer
							a__ 		=						False

							def 				_A						(		self      :Optional[int]					)					->	Dict:


										'''simple docstring'''




										super().setUp()

										snake_case_					:       List[str] =							(
										    "<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(" "					)
										snake_case_					:       Union[str, Any] =							dict(zip(__lowerCamelCase							,				range(len(__lowerCamelCase					)					)					)					)

										snake_case_					:       Optional[int] =							{"pad_token": "<pad>", "unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>"}

										snake_case_					:       Dict =							os.path.join(self.tmpdirname							,				VOCAB_FILES_NAMES["vocab_file"]					)
										with open(self.vocab_file							,				"w"							,				encoding="utf-8"					) as fp:
													fp.write(json.dumps(__lowerCamelCase					) + "\n"					)

							def 				_A						(		self      :str							,				lowerCAmelCase__      :Any							,				lowerCAmelCase__      :Dict=False							,				lowerCAmelCase__      :List[Any]=20							,				lowerCAmelCase__      :int=5					)					->	Any:


										'''simple docstring'''




										snake_case_					:       Optional[Any] =							[(i, tokenizer.decode([i]							,				clean_up_tokenization_spaces=__lowerCamelCase					)) for i in range(len(__lowerCamelCase					)					)]
										snake_case_					:       Optional[Any] =							list(filter(lambda lowerCAmelCase__					: [t[0]] == tokenizer.encode(t[1]							,				do_phonemize=__lowerCamelCase					)							,				__lowerCamelCase					)					)
										if max_length is not None and len(__lowerCamelCase					) > max_length:
													snake_case_					:       Union[str, Any] =							toks[:max_length]
										if min_length is not None and len(__lowerCamelCase					) < min_length and len(__lowerCamelCase					) > 0:
													while len(__lowerCamelCase					) < min_length:
																snake_case_					:       List[Any] =							toks + toks
													 # toks_str = [t[1] for t in toks]
										snake_case_					:       Optional[Any] =							[t[0] for t in toks]

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

							def 				_A						(		self      :List[Any]							,				**lowerCAmelCase__      :Union[str, Any]					)					->	int:


										'''simple docstring'''




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

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


										'''simple docstring'''




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

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

										tokenizer.add_tokens(["aaa", "bbb", "ccc"]					)
										snake_case_					:       Union[str, Any] =							tokenizer("m aaa ɪ ccc"							,				do_phonemize=__lowerCamelCase					).input_ids
										self.assertEqual(__lowerCamelCase							,				[13, 393, 17, 395]					)  # aaa and ccc should be after xxx and 2 after aaa

										snake_case_					:       Optional[int] =							tokenizer("maɪ c"							,				do_phonemize=__lowerCamelCase					).input_ids
										self.assertEqual(__lowerCamelCase							,				[3, 200]					)  # mai should be <unk> (=3)

							def 				_A						(		self      :Any					)					->	str:


										'''simple docstring'''




										snake_case_					:       List[Any] =							self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"					)

										snake_case_					:       Any =							"Hello how are you"
										snake_case_					:       str =							tokenizer.phonemize(__lowerCamelCase							,				phonemizer_lang="en-us"					)
										self.assertEqual(__lowerCamelCase							,				"h ə l oʊ h aʊ ɑːɹ j uː"					)

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


										'''simple docstring'''




										snake_case_					:       List[str] =							self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"					)

										snake_case_					:       List[str] =							"Hello how are you"
										snake_case_					:       Optional[int] =							tokenizer.phonemize(__lowerCamelCase							,				phonemizer_lang="en-us"					)
										self.assertEqual(tokenizer(__lowerCamelCase					).input_ids							,				tokenizer(__lowerCamelCase							,				do_phonemize=__lowerCamelCase					).input_ids					)

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


										'''simple docstring'''




										snake_case_					:       Optional[Any] =							self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"					)
										snake_case_					:       List[Any] =							"Hello how are you"
										snake_case_					:       Tuple =							tokenizer.phonemize(__lowerCamelCase							,				phonemizer_lang="en-us"					)

										snake_case_					:       Any =							tokenizer.decode(tokenizer(__lowerCamelCase					).input_ids					)

										self.assertEqual(__lowerCamelCase							,				__lowerCamelCase					)

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


										'''simple docstring'''




										snake_case_					:       List[str] =							self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"					)

										snake_case_					:       int =							[
										    [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98],
										    [24, 22, 5, 24, 22, 5, 77],
										]
										snake_case_					:       Optional[int] =							tokenizer.decode(sample_ids[0]					)
										snake_case_					:       List[Any] =							tokenizer.batch_decode(__lowerCamelCase					)
										self.assertEqual(__lowerCamelCase							,				batch_tokens[0]					)
										self.assertEqual(__lowerCamelCase							,				["k s ɾ ɾ l ɭʲ", "j ð s j ð s oːɹ"]					)

							def 				_A						(		self      :Optional[Any]					)					->	Dict:


										'''simple docstring'''




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

										snake_case_					:       Tuple =							"Hello how are you"
										snake_case_					:       str =							tokenizer.phonemize(__lowerCamelCase							,				phonemizer_lang="en-us"					)
										self.assertEqual(__lowerCamelCase							,				"h ə l oʊ | h aʊ | ɑːɹ | j uː |"					)

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


										'''simple docstring'''




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

										snake_case_					:       Optional[int] =							"Hello how are you"
										snake_case_					:       List[Any] =							tokenizer.phonemize(__lowerCamelCase							,				phonemizer_lang="en-us"					)
										self.assertEqual(tokenizer(__lowerCamelCase					).input_ids							,				tokenizer(__lowerCamelCase							,				do_phonemize=__lowerCamelCase					).input_ids					)

							def 				_A						(		self      :List[Any]					)					->	Dict:


										'''simple docstring'''




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

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

										# decode with no word_del_token filter
										snake_case_					:       Tuple =							tokenizer.decode(sample_ids[0]							,				filter_word_delimiter_token=__lowerCamelCase					)
										snake_case_					:       Union[str, Any] =							tokenizer.batch_decode(__lowerCamelCase							,				filter_word_delimiter_token=__lowerCamelCase					)
										self.assertEqual(__lowerCamelCase							,				batch_tokens[0]					)
										self.assertEqual(__lowerCamelCase							,				["k s ɾ | ɾ l | ɭʲ", "| j ð | s j ð s oːɹ"]					)

							def 				_A						(		self      :Dict					)					->	Tuple:


										'''simple docstring'''




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

										snake_case_					:       List[Any] =							"Hello how are you"
										snake_case_					:       Optional[Any] =							tokenizer.phonemize(__lowerCamelCase							,				phonemizer_lang="en-us"					)

										snake_case_					:       Optional[int] =							tokenizer.decode(tokenizer(__lowerCamelCase					).input_ids							,				filter_word_delimiter_token=__lowerCamelCase					)

										self.assertEqual(__lowerCamelCase							,				__lowerCamelCase					)

							def 				_A						(		self      :List[Any]					)					->	Dict:


										'''simple docstring'''




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

										snake_case_					:       List[Any] =							"Hello how are you"
										snake_case_					:       Tuple =							tokenizer.phonemize(__lowerCamelCase							,				phonemizer_lang="en-us"					)

										snake_case_					:       Optional[int] =							tokenizer.decode(tokenizer(__lowerCamelCase					).input_ids							,				filter_word_delimiter_token=__lowerCamelCase					)

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

							def 				_A						(		self      :Optional[Any]					)					->	Any:


										'''simple docstring'''




										snake_case_					:       Optional[Any] =							self.tokenizer_class.from_pretrained(
										    "facebook/wav2vec2-lv-60-espeak-cv-ft"							,				word_delimiter_token=__lowerCamelCase					)
										snake_case_					:       Union[str, Any] =							"Hello how are you"

										snake_case_					:       str =							tokenizer(__lowerCamelCase							,				phonemizer_lang="en-us"					).input_ids
										snake_case_					:       Optional[int] =							tokenizer(__lowerCamelCase							,				phonemizer_lang="fr-fr"					).input_ids

										self.assertNotEqual(__lowerCamelCase							,				__lowerCamelCase					)

										snake_case_					:       Union[str, Any] =							tokenizer.decode(__lowerCamelCase					)
										snake_case_					:       Any =							tokenizer.decode(__lowerCamelCase					)

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

							def 				_A						(		self      :int					)					->	List[Any]:


										'''simple docstring'''




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

										snake_case_					:       Optional[Any] =							tokenizer(__lowerCamelCase					).input_ids
										snake_case_					:       str =							tokenizer(__lowerCamelCase					).input_ids

										self.assertEqual(__lowerCamelCase							,				__lowerCamelCase					)

							def 				_A						(		self      :Tuple					)					->	Dict:


										'''simple docstring'''




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

										# fmt: off
										snake_case_					:       str =							[
										    [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

										snake_case_					:       List[str] =							tokenizer.batch_decode(__lowerCamelCase					)
										self.assertEqual(__lowerCamelCase							,				["k s ɾ ɾ l ɭʲ!?!? $$$", "j ð s j ð s oːɹ $$$"]					)

							@staticmethod
							def 				_A						(		lowerCAmelCase__      :List[Any]							,				lowerCAmelCase__      :str					)					->	List[Any]:


										'''simple docstring'''




										snake_case_					:       Any =							[d[key] for d in offsets]
										return retrieved_list

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


										'''simple docstring'''




										snake_case_					:       Optional[Any] =							self.get_tokenizer(word_delimiter_token="|"					)
										tokenizer.add_tokens("|"					)

										# fmt: off
										# ksssɾɾ|ɾɾ<pad>ɾɾ|<pad>ɾlll|ɭʲ -> k s ɾ ɾ | ɾ l | ɭʲ"
										snake_case_					:       int =							[11, 5, 5, 5, 15, 15, tokenizer.pad_token_id, 15, 15, tokenizer.word_delimiter_token_id, tokenizer.pad_token_id, 15, 8, 8, 8, tokenizer.word_delimiter_token_id, 98]
										# fmt: on

										snake_case_					:       Union[str, Any] =							tokenizer.decode(__lowerCamelCase							,				output_char_offsets=__lowerCamelCase							,				filter_word_delimiter_token=__lowerCamelCase					)
										# check Wav2Vec2CTCTokenizerOutput keys for char
										self.assertEqual(len(outputs.keys()					)							,				2					)
										self.assertTrue("text" in outputs					)
										self.assertTrue("char_offsets" in outputs					)
										self.assertTrue(isinstance(__lowerCamelCase							,				__lowerCamelCase					)					)

										# check that order of chars is correct and identical for both outputs
										self.assertEqual(" ".join(self.get_from_offsets(outputs["char_offsets"]							,				"char"					)					)							,				outputs.text					)
										self.assertListEqual(
										    self.get_from_offsets(outputs["char_offsets"]							,				"char"					)							,				["k", "s", "ɾ", "ɾ", "|", "ɾ", "l", "|", "ɭʲ"]					)

										# check that offsets are actually correct for char
										# 0-1 is 11, 1-4 is 5, 4-6 is first 15, 6-7 is <pad> (thus not shown), 7-9 is second 15, 9-10 is word_delimiter_token,
										# 10-11 is <pad> (thus not shown), 11-12 is third 15, 12-15 is 8, 15-16 is word_delimiter_token, 16-17 is 98
										self.assertListEqual(
										    self.get_from_offsets(outputs["char_offsets"]							,				"start_offset"					)							,				[0, 1, 4, 7, 9, 11, 12, 15, 16]					)
										self.assertListEqual(
										    self.get_from_offsets(outputs["char_offsets"]							,				"end_offset"					)							,				[1, 4, 6, 9, 10, 12, 15, 16, 17]					)

							def 				_A						(		self      :Optional[int]					)					->	Optional[int]:


										'''simple docstring'''




										snake_case_					:       str =							self.get_tokenizer(word_delimiter_token="|"					)

										def check_list_tuples_equal(lowerCAmelCase__      :Optional[int]							,				lowerCAmelCase__      :Union[str, Any]					):
													self.assertTrue(isinstance(__lowerCamelCase							,				__lowerCamelCase					)					)
													self.assertTrue(isinstance(outputs_list[0]							,				__lowerCamelCase					)					)

													# transform list to ModelOutput
													snake_case_					:       Tuple =							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__      :Union[str, Any]							,				lowerCAmelCase__      :Optional[Any]					):
																if isinstance(__lowerCamelCase							,				__lowerCamelCase					):
																			[recursive_check(__lowerCamelCase							,				__lowerCamelCase					) for la, la in zip(__lowerCamelCase							,				__lowerCamelCase					)]
																self.assertEqual(__lowerCamelCase							,				__lowerCamelCase					)

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

													 # fmt: off
										snake_case_					:       int =							[
										    [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
										snake_case_					:       Optional[int] =							tokenizer.batch_decode(__lowerCamelCase							,				output_char_offsets=__lowerCamelCase					)
										snake_case_					:       Optional[Any] =							[tokenizer.decode(__lowerCamelCase							,				output_char_offsets=__lowerCamelCase					) for ids in sample_ids]
										check_list_tuples_equal(__lowerCamelCase							,				__lowerCamelCase					)

							@unittest.skip("Wav2Vec2PhonemeTokenizer always lower cases letters to correctly map to phonemes"					)
							def 				_A						(		self      :List[str]					)					->	str:


										'''simple docstring'''




										pass

							@unittest.skip("Wav2Vec2PhonemeTokenizer always puts spaces between phonemes"					)
							def 				_A						(		self      :Union[str, Any]					)					->	Optional[int]:


										'''simple docstring'''




										pass

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


										'''simple docstring'''




										pass

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


										'''simple docstring'''




										pass

							def 				_A						(		self      :Dict					)					->	Optional[int]:


										'''simple docstring'''




										snake_case_					:       List[str] =							self.get_tokenizers(do_lower_case=__lowerCamelCase					)
										for tokenizer in tokenizers:
													with self.subTest(F'''{tokenizer.__class__.__name__}'''					):
																snake_case_					:       str =							tokenizer.vocab_size
																snake_case_					:       Optional[int] =							len(__lowerCamelCase					)

																self.assertNotEqual(__lowerCamelCase							,				0					)

																# We usually have added tokens from the start in tests because our vocab fixtures are
																# smaller than the original vocabs - let's not assert this
																# self.assertEqual(vocab_size, all_size)

																snake_case_					:       str =							["aaaaa bbbbbb", "cccccccccdddddddd"]
																snake_case_					:       Dict =							tokenizer.add_tokens(__lowerCamelCase					)
																snake_case_					:       Optional[Any] =							tokenizer.vocab_size
																snake_case_					:       List[str] =							len(__lowerCamelCase					)

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

																snake_case_					:       List[str] =							tokenizer.encode("aaaaa bbbbbb low cccccccccdddddddd l"							,				add_special_tokens=__lowerCamelCase					)

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

																snake_case_					:       Optional[int] =							{"eos_token": ">>>>|||<||<<|<<", "pad_token": "<<<<<|||>|>>>>|>"}
																snake_case_					:       Dict =							tokenizer.add_special_tokens(__lowerCamelCase					)
																snake_case_					:       Union[str, Any] =							tokenizer.vocab_size
																snake_case_					:       List[Any] =							len(__lowerCamelCase					)

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

																snake_case_					:       Union[str, Any] =							tokenizer.encode(
																    ">>>>|||<||<<|<< aaaaabbbbbb low cccccccccdddddddd <<<<<|||>|>>>>|> l"							,				add_special_tokens=__lowerCamelCase					)

																self.assertGreaterEqual(len(__lowerCamelCase					)							,				6					)
																self.assertGreater(tokens[0]							,				tokenizer.vocab_size - 1					)
																self.assertGreater(tokens[0]							,				tokens[1]					)
																self.assertGreater(tokens[-3]							,				tokenizer.vocab_size - 1					)
																self.assertGreater(tokens[-3]							,				tokens[-4]					)
																self.assertEqual(tokens[0]							,				tokenizer.eos_token_id					)
																self.assertEqual(tokens[-3]							,				tokenizer.pad_token_id					)

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


										'''simple docstring'''




										pass

							@unittest.skip("The tokenizer shouldn\'t be used to encode input IDs (except for labels), only to decode."					)
							def 				_A						(		self      :Union[str, Any]					)					->	Any:


										'''simple docstring'''




										pass






							def 				_A						(		self      :Tuple					)					->	Any:


										'''simple docstring'''




										snake_case_					:       Optional[int] =							self.get_tokenizers(fast=__lowerCamelCase							,				do_lower_case=__lowerCamelCase					)
										for tokenizer in tokenizers:
													with self.subTest(F'''{tokenizer.__class__.__name__}'''					):
																snake_case_					:       Dict =							["ð", "ɪ", "s", "ɪ", "z", "ɐ", "t", "ɛ", "k", "s", "t"]
																snake_case_					:       Optional[int] =							tokenizer.convert_tokens_to_string(__lowerCamelCase					)

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









"""simple docstring"""






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available


snake_case   					=				{'''tokenization_herbert''': ['''HerbertTokenizer''']}

try:
     if not is_tokenizers_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     snake_case   					=				['''HerbertTokenizerFast''']


if TYPE_CHECKING:
     from .tokenization_herbert import HerbertTokenizer

     try:
          if not is_tokenizers_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_herbert_fast import HerbertTokenizerFast

else:
     import sys

     snake_case   					=				_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





