

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__						(					snake_case							,	unittest.TestCase			):
			"""simple docstring"""







			__lowerCamelCase        =       WavaVecaPhonemeCTCTokenizer
			__lowerCamelCase        =       False


			def      UpperCamelCase		(    self       )  ->						Optional[Any]:
							'''simple docstring'''






							super().setUp()

							A__        =			(
							    "<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__        =			dict(zip(lowercase      ,      range(len(lowercase       )       )       )       )

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

							A__        =			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(lowercase       ) + "\n"       )


			def      UpperCamelCase		(    self      ,      lowercase      ,      lowercase=False      ,      lowercase=20      ,      lowercase=5       )  ->						Tuple[str, list]:
							'''simple docstring'''






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

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


			def      UpperCamelCase		(    self      ,      **lowercase       )  ->						Tuple:
							'''simple docstring'''






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


			def      UpperCamelCase		(    self       )  ->						str:
							'''simple docstring'''






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

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

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

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


			def      UpperCamelCase		(    self       )  ->						List[Any]:
							'''simple docstring'''






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

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


			def      UpperCamelCase		(    self       )  ->						List[Any]:
							'''simple docstring'''






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

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


			def      UpperCamelCase		(    self       )  ->						Union[str, Any]:
							'''simple docstring'''






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

							A__        =			tokenizer.decode(tokenizer(lowercase       ).input_ids       )

							self.assertEqual(lowercase      ,      lowercase       )


			def      UpperCamelCase		(    self       )  ->						List[str]:
							'''simple docstring'''






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

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


			def      UpperCamelCase		(    self       )  ->						List[str]:
							'''simple docstring'''






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

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


			def      UpperCamelCase		(    self       )  ->						str:
							'''simple docstring'''






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

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


			def      UpperCamelCase		(    self       )  ->						List[Any]:
							'''simple docstring'''






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

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

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


			def      UpperCamelCase		(    self       )  ->						Dict:
							'''simple docstring'''






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

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

							A__        =			tokenizer.decode(tokenizer(lowercase       ).input_ids      ,      filter_word_delimiter_token=lowercase       )

							self.assertEqual(lowercase      ,      lowercase       )


			def      UpperCamelCase		(    self       )  ->						int:
							'''simple docstring'''






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

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

							A__        =			tokenizer.decode(tokenizer(lowercase       ).input_ids      ,      filter_word_delimiter_token=lowercase       )

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


			def      UpperCamelCase		(    self       )  ->						str:
							'''simple docstring'''






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

							A__        =			tokenizer(lowercase      ,      phonemizer_lang="en-us"       ).input_ids
							A__        =			tokenizer(lowercase      ,      phonemizer_lang="fr-fr"       ).input_ids

							self.assertNotEqual(lowercase      ,      lowercase       )

							A__        =			tokenizer.decode(lowercase       )
							A__        =			tokenizer.decode(lowercase       )

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


			def      UpperCamelCase		(    self       )  ->						int:
							'''simple docstring'''






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

							A__        =			tokenizer(lowercase       ).input_ids
							A__        =			tokenizer(lowercase       ).input_ids

							self.assertEqual(lowercase      ,      lowercase       )


			def      UpperCamelCase		(    self       )  ->						str:
							'''simple docstring'''






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

							# fmt: off
							A__        =			[
							    [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

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


			@staticmethod
			def      UpperCamelCase		(    lowercase      ,      lowercase       )  ->						List[str]:
							'''simple docstring'''






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


			def      UpperCamelCase		(    self       )  ->						List[Any]:
							'''simple docstring'''






							A__        =			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__        =			[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

							A__        =			tokenizer.decode(lowercase      ,      output_char_offsets=lowercase      ,      filter_word_delimiter_token=lowercase       )
							# 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(lowercase      ,      lowercase       )       )

							# 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      UpperCamelCase		(    self       )  ->						Union[str, Any]:
							'''simple docstring'''






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

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

											# transform list to ModelOutput
											A__        =			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(lowercase      ,      lowercase       ):
															if isinstance(lowercase      ,      lowercase       ):
																			[recursive_check(lowercase      ,      lowercase       ) for la, la in zip(lowercase      ,      lowercase       )]
															self.assertEqual(lowercase      ,      lowercase       )

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

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


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






							pass


			@unittest.skip("Wav2Vec2PhonemeTokenizer always puts spaces between phonemes"       )
			def      UpperCamelCase		(    self       )  ->						str:
							'''simple docstring'''






							pass


			@unittest.skip("encodes to text to ids, but decodes ids to phonemes -> not possible to have internal consistency"       )
			def      UpperCamelCase		(    self       )  ->						Optional[Any]:
							'''simple docstring'''






							pass


			@unittest.skip("Wav2Vec2PhonemeModel has no max model length => no testing"       )
			def      UpperCamelCase		(    self       )  ->						List[Any]:
							'''simple docstring'''






							pass


			def      UpperCamelCase		(    self       )  ->						int:
							'''simple docstring'''






							A__        =			self.get_tokenizers(do_lower_case=lowercase       )
							for tokenizer in tokenizers:
											with self.subTest(F'{tokenizer.__class__.__name__}'       ):
															A__        =			tokenizer.vocab_size
															A__        =			len(lowercase       )

															self.assertNotEqual(lowercase      ,      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__        =			["aaaaa bbbbbb", "cccccccccdddddddd"]
															A__        =			tokenizer.add_tokens(lowercase       )
															A__        =			tokenizer.vocab_size
															A__        =			len(lowercase       )

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

															A__        =			tokenizer.encode("aaaaa bbbbbb low cccccccccdddddddd l"      ,      add_special_tokens=lowercase       )

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

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

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

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

															self.assertGreaterEqual(len(lowercase       )      ,      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      UpperCamelCase		(    self       )  ->						str:
							'''simple docstring'''






							pass


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






							pass


			def      UpperCamelCase		(    self       )  ->						Optional[int]:
							'''simple docstring'''






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

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




import warnings

from ...utils import logging
from .image_processing_clip import CLIPImageProcessor


lowerCAmelCase__	   = logging.get_logger(__name__)

class 					a__						(					snake_case			):
			"""simple docstring"""







			def __init__(    self      ,      *lowercase      ,      **lowercase       )  ->						None:
							'''simple docstring'''






							warnings.warn(
							    "The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
							    " use CLIPImageProcessor instead."      ,      lowercase      ,      )
							super().__init__(*lowercase      ,      **lowercase       )

