


'''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    ):
 _lowerCAmelCase	   =		WavaVecaPhonemeCTCTokenizer
 _lowerCAmelCase	   =		False
 def 							__UpperCAmelCase						(	self  )   ->							Union[str, Any]:
      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(__magic_name__ ,			range(len(__magic_name__  )  )  )  )

      _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(__magic_name__  ) + '\n'  )
 def 							__UpperCAmelCase						(	self ,			__magic_name__ ,			__magic_name__=False ,			__magic_name__=20 ,			__magic_name__=5  )   ->							Tuple[str, list]:
      _a      =							[(i, tokenizer.decode([i] ,			clean_up_tokenization_spaces=__magic_name__  )) for i in range(len(__magic_name__  )  )]
      _a      =							list(filter(lambda __magic_name__  : [t[0]] == tokenizer.encode(t[1] ,			do_phonemize=__magic_name__  ) ,			__magic_name__  )  )
      if max_length is not None and len(__magic_name__  ) > max_length:
           _a      =							toks[:max_length]
      if min_length is not None and len(__magic_name__  ) < min_length and len(__magic_name__  ) > 0:
           while len(__magic_name__  ) < 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(__magic_name__ ,			clean_up_tokenization_spaces=__magic_name__  )
      if " " not in output_txt and len(__magic_name__  ) > 1:
           _a      =							(
               tokenizer.decode([toks_ids[0]] ,			clean_up_tokenization_spaces=__magic_name__  )
               + ' '
               + tokenizer.decode(toks_ids[1:] ,			clean_up_tokenization_spaces=__magic_name__  )
           )
      if with_prefix_space:
           _a      =							' ' + output_txt
      _a      =							tokenizer.encode(__magic_name__ ,			add_special_tokens=__magic_name__  )
      return output_txt, output_ids
 def 							__UpperCAmelCase						(	self ,			**__magic_name__  )   ->							Any:
      kwargs.update(self.special_tokens_map  )
      return WavaVecaPhonemeCTCTokenizer.from_pretrained(self.tmpdirname ,			**__magic_name__  )
 def 							__UpperCAmelCase						(	self  )   ->							Optional[Any]:
      _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=__magic_name__  ).input_ids
      self.assertEqual(__magic_name__ ,			[13, 3_92, 17]  )  # xxx should be last token

      tokenizer.add_tokens(['aaa', 'bbb', 'ccc']  )
      _a      =							tokenizer('m aaa ɪ ccc' ,			do_phonemize=__magic_name__  ).input_ids
      self.assertEqual(__magic_name__ ,			[13, 3_93, 17, 3_95]  )  # aaa and ccc should be after xxx and 2 after aaa

      _a      =							tokenizer('maɪ c' ,			do_phonemize=__magic_name__  ).input_ids
      self.assertEqual(__magic_name__ ,			[3, 2_00]  )  # mai should be <unk> (=3)
 def 							__UpperCAmelCase						(	self  )   ->							Tuple:
      _a      =							self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft'  )

      _a      =							'Hello how are you'
      _a      =							tokenizer.phonemize(__magic_name__ ,			phonemizer_lang='en-us'  )
      self.assertEqual(__magic_name__ ,			'h ə l oʊ h aʊ ɑːɹ j uː'  )
 def 							__UpperCAmelCase						(	self  )   ->							Tuple:
      _a      =							self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft'  )

      _a      =							'Hello how are you'
      _a      =							tokenizer.phonemize(__magic_name__ ,			phonemizer_lang='en-us'  )
      self.assertEqual(tokenizer(__magic_name__  ).input_ids ,			tokenizer(__magic_name__ ,			do_phonemize=__magic_name__  ).input_ids  )
 def 							__UpperCAmelCase						(	self  )   ->							Any:
      _a      =							self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft'  )
      _a      =							'Hello how are you'
      _a      =							tokenizer.phonemize(__magic_name__ ,			phonemizer_lang='en-us'  )

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

      self.assertEqual(__magic_name__ ,			__magic_name__  )
 def 							__UpperCAmelCase						(	self  )   ->							Union[str, Any]:
      _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(__magic_name__  )
      self.assertEqual(__magic_name__ ,			batch_tokens[0]  )
      self.assertEqual(__magic_name__ ,			['k s ɾ ɾ l ɭʲ', 'j ð s j ð s oːɹ']  )
 def 							__UpperCAmelCase						(	self  )   ->							Union[str, Any]:
      _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(__magic_name__ ,			phonemizer_lang='en-us'  )
      self.assertEqual(__magic_name__ ,			'h ə l oʊ | h aʊ | ɑːɹ | j uː |'  )
 def 							__UpperCAmelCase						(	self  )   ->							Optional[int]:
      _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(__magic_name__ ,			phonemizer_lang='en-us'  )
      self.assertEqual(tokenizer(__magic_name__  ).input_ids ,			tokenizer(__magic_name__ ,			do_phonemize=__magic_name__  ).input_ids  )
 def 							__UpperCAmelCase						(	self  )   ->							Optional[int]:
      _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(__magic_name__  )
      self.assertEqual(__magic_name__ ,			batch_tokens[0]  )
      self.assertEqual(__magic_name__ ,			['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=__magic_name__  )
      _a      =							tokenizer.batch_decode(__magic_name__ ,			filter_word_delimiter_token=__magic_name__  )
      self.assertEqual(__magic_name__ ,			batch_tokens[0]  )
      self.assertEqual(__magic_name__ ,			['k s ɾ | ɾ l | ɭʲ', '| j ð | s j ð s oːɹ']  )
 def 							__UpperCAmelCase						(	self  )   ->							List[str]:
      _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(__magic_name__ ,			phonemizer_lang='en-us'  )

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

      self.assertEqual(__magic_name__ ,			__magic_name__  )
 def 							__UpperCAmelCase						(	self  )   ->							int:
      _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(__magic_name__ ,			phonemizer_lang='en-us'  )

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

      self.assertEqual(' '.join([p.strip() for p in phonemes.split(' |'  )]  ).strip() ,			__magic_name__  )
 def 							__UpperCAmelCase						(	self  )   ->							List[Any]:
      _a      =							self.tokenizer_class.from_pretrained(
          'facebook/wav2vec2-lv-60-espeak-cv-ft' ,			word_delimiter_token=__magic_name__  )
      _a      =							'Hello how are you'

      _a      =							tokenizer(__magic_name__ ,			phonemizer_lang='en-us'  ).input_ids
      _a      =							tokenizer(__magic_name__ ,			phonemizer_lang='fr-fr'  ).input_ids

      self.assertNotEqual(__magic_name__ ,			__magic_name__  )

      _a      =							tokenizer.decode(__magic_name__  )
      _a      =							tokenizer.decode(__magic_name__  )

      self.assertEqual(__magic_name__ ,			'h ə l oʊ h aʊ ɑːɹ j uː'  )
      self.assertEqual(__magic_name__ ,			'ɛ l o h aʊ a ʁ j u'  )
 def 							__UpperCAmelCase						(	self  )   ->							Optional[Any]:
      _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(__magic_name__  ).input_ids
      _a      =							tokenizer(__magic_name__  ).input_ids

      self.assertEqual(__magic_name__ ,			__magic_name__  )
 def 							__UpperCAmelCase						(	self  )   ->							Optional[Any]:
      _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, 3_92, 3_92, 3_93, 3_92, 3_92, 3_93, 3_94, 3_94],
          [24, 22, 5, 24, 22, 5, 77, tokenizer.pad_token_id, 3_94, 3_94],
      ]
      # fmt: on

      _a      =							tokenizer.batch_decode(__magic_name__  )
      self.assertEqual(__magic_name__ ,			['k s ɾ ɾ l ɭʲ!?!? $$$', 'j ð s j ð s oːɹ $$$']  )
 @staticmethod
 def 							__UpperCAmelCase						(	__magic_name__ ,			__magic_name__  )   ->							str:
      _a      =							[d[key] for d in offsets]
      return retrieved_list
 def 							__UpperCAmelCase						(	self  )   ->							Optional[int]:
      _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(__magic_name__ ,			output_char_offsets=__magic_name__ ,			filter_word_delimiter_token=__magic_name__  )
      # 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(__magic_name__ ,			__magic_name__  )  )

      # 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  )   ->							Tuple:
      _a      =							self.get_tokenizer(word_delimiter_token='|'  )

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

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

           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(__magic_name__ ,			output_char_offsets=__magic_name__  )
      _a      =							[tokenizer.decode(__magic_name__ ,			output_char_offsets=__magic_name__  ) for ids in sample_ids]
      check_list_tuples_equal(__magic_name__ ,			__magic_name__  )
 @unittest.skip('Wav2Vec2PhonemeTokenizer always lower cases letters to correctly map to phonemes'  )
 def 							__UpperCAmelCase						(	self  )   ->							str:
      pass
 @unittest.skip('Wav2Vec2PhonemeTokenizer always puts spaces between phonemes'  )
 def 							__UpperCAmelCase						(	self  )   ->							List[str]:
      pass
 @unittest.skip('encodes to text to ids, but decodes ids to phonemes -> not possible to have internal consistency'  )
 def 							__UpperCAmelCase						(	self  )   ->							List[str]:
      pass
 @unittest.skip('Wav2Vec2PhonemeModel has no max model length => no testing'  )
 def 							__UpperCAmelCase						(	self  )   ->							List[str]:
      pass
 def 							__UpperCAmelCase						(	self  )   ->							Dict:
      _a      =							self.get_tokenizers(do_lower_case=__magic_name__  )
      for tokenizer in tokenizers:
           with self.subTest(f'{tokenizer.__class__.__name__}'  ):
                _a      =							tokenizer.vocab_size
                _a      =							len(__magic_name__  )

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

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

                _a      =							tokenizer.encode('aaaaa bbbbbb low cccccccccdddddddd l' ,			add_special_tokens=__magic_name__  )

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

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

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

                self.assertGreaterEqual(len(__magic_name__  ) ,			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  )   ->							List[Any]:
      pass
 @unittest.skip('The tokenizer shouldn\'t be used to encode input IDs (except for labels), only to decode.'  )
 def 							__UpperCAmelCase						(	self  )   ->							str:
      pass




 def 							__UpperCAmelCase						(	self  )   ->							Any:
      # The default common tokenizer tests assumes that the output of `convert_tokens_to_string` is a string which
      # is not the case for Wav2Vec2PhonemeCTCTokenizer.
      _a      =							self.get_tokenizers(fast=__magic_name__ ,			do_lower_case=__magic_name__  )
      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(__magic_name__  )

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





'''simple docstring'''






import colorsys

from PIL import Image  # type: ignore






def 		_A			(lowerCAmelCase__					:float			,  lowerCAmelCase__					:float			,  lowerCAmelCase__					:int						)				->					float:




     '''simple docstring'''



     _a      =							x
     _a      =							y
     for step in range(lowerCAmelCase__						):  # noqa: B007
          _a      =							a * a - b * b + x
          _a      =							2 * a * b + y
          _a      =							a_new

          # divergence happens for all complex number with an absolute value
          # greater than 4
          if a * a + b * b > 4:
               break
     return step / (max_step - 1)






def 		_A			(lowerCAmelCase__					:float						)				->					tuple:




     '''simple docstring'''



     if distance == 1:
          return (0, 0, 0)
     else:
          return (2_55, 2_55, 2_55)






def 		_A			(lowerCAmelCase__					:float						)				->					tuple:




     '''simple docstring'''



     if distance == 1:
          return (0, 0, 0)
     else:
          return tuple(round(i * 2_55						) for i in colorsys.hsv_to_rgb(lowerCAmelCase__			,  1			,  1						)						)






def 		_A			(lowerCAmelCase__					:int = 8_00			,  lowerCAmelCase__					:int = 6_00			,  lowerCAmelCase__					:float = -0.6			,  lowerCAmelCase__					:float = 0			,  lowerCAmelCase__					:float = 3.2			,  lowerCAmelCase__					:int = 50			,  lowerCAmelCase__					:bool = True			,  )				->					Image.Image:




     '''simple docstring'''



     _a      =							Image.new('RGB'			,  (image_width, image_height)						)
     _a      =							img.load()

     # loop through the image-coordinates
     for image_x in range(lowerCAmelCase__						):
          for image_y in range(lowerCAmelCase__						):
               # determine the figure-coordinates based on the image-coordinates
               _a      =							figure_width / image_width * image_height
               _a      =							figure_center_x + (image_x / image_width - 0.5) * figure_width
               _a      =							figure_center_y + (image_y / image_height - 0.5) * figure_height

               _a      =							get_distance(lowerCAmelCase__			,  lowerCAmelCase__			,  lowerCAmelCase__						)

               # color the corresponding pixel based on the selected coloring-function
               if use_distance_color_coding:
                    _a      =							get_color_coded_rgb(lowerCAmelCase__						)
               else:
                    _a      =							get_black_and_white_rgb(lowerCAmelCase__						)

     return img


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 # colored version, full figure
 a_   :      Optional[Any]				    =      get_image()

 # uncomment for colored version, different section, zoomed in
 # img = get_image(figure_center_x = -0.6, figure_center_y = -0.4,
 # figure_width = 0.8)

 # uncomment for black and white version, full figure
 # img = get_image(use_distance_color_coding = False)

 # uncomment to save the image
 # img.save("mandelbrot.png")

 img.show()

