

import json
import os
import unittest
from typing import Tuple

from transformers import WavaVecaPhonemeCTCTokenizer
from transformers.models.wavaveca.tokenization_wavaveca import VOCAB_FILES_NAMES
from transformers.models.wavaveca_phoneme.tokenization_wavaveca_phoneme import WavaVecaPhonemeCTCTokenizerOutput
from transformers.testing_utils import require_phonemizer

from ...test_tokenization_common import TokenizerTesterMixin





@require_phonemizer
class 					__lowerCAmelCase	(   SCREAMING_SNAKE_CASE     ,     unittest.TestCase				):
  _a		     =    WavaVecaPhonemeCTCTokenizer
  _a		     =    False




  def     A__	(							self   )    ->					List[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(lowerCAmelCase				,  range(len(lowerCAmelCase   )   )   )   )

        _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(lowerCAmelCase   ) + '\n'   )




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






        _lowercase      			=[(i, tokenizer.decode([i]				,  clean_up_tokenization_spaces=lowerCAmelCase   )) for i in range(len(lowerCAmelCase   )   )]
        _lowercase      			=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:
              _lowercase      			=toks[:max_length]
        if min_length is not None and len(lowerCAmelCase   ) < min_length and len(lowerCAmelCase   ) > 0:
              while len(lowerCAmelCase   ) < 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(lowerCAmelCase				,  clean_up_tokenization_spaces=lowerCAmelCase   )
        if " " not in output_txt and len(lowerCAmelCase   ) > 1:
              _lowercase      			=(
                  tokenizer.decode([toks_ids[0]]				,  clean_up_tokenization_spaces=lowerCAmelCase   )
                  + ' '
                  + tokenizer.decode(toks_ids[1:]				,  clean_up_tokenization_spaces=lowerCAmelCase   )
              )
        if with_prefix_space:
              _lowercase      			=' ' + output_txt
        _lowercase      			=tokenizer.encode(lowerCAmelCase				,  add_special_tokens=lowerCAmelCase   )
        return output_txt, output_ids




  def     A__	(							self				,  **lowerCAmelCase   )    ->					Optional[int]:
        '''simple docstring'''






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




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

        tokenizer.add_tokens(['aaa', 'bbb', 'ccc']   )
        _lowercase      			=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

        _lowercase      			=tokenizer('maɪ c'				,  do_phonemize=lowerCAmelCase   ).input_ids
        self.assertEqual(lowerCAmelCase				,  [3, 200]   )  # mai should be <unk> (=3)




  def     A__	(							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(lowerCAmelCase				,  phonemizer_lang='en-us'   )
        self.assertEqual(lowerCAmelCase				,  'h ə l oʊ h aʊ ɑːɹ j uː'   )




  def     A__	(							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(lowerCAmelCase				,  phonemizer_lang='en-us'   )
        self.assertEqual(tokenizer(lowerCAmelCase   ).input_ids				,  tokenizer(lowerCAmelCase				,  do_phonemize=lowerCAmelCase   ).input_ids   )




  def     A__	(							self   )    ->					Any:
        '''simple docstring'''






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

        _lowercase      			=tokenizer.decode(tokenizer(lowerCAmelCase   ).input_ids   )

        self.assertEqual(lowerCAmelCase				,  lowerCAmelCase   )




  def     A__	(							self   )    ->					Any:
        '''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(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   )    ->					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(lowerCAmelCase				,  phonemizer_lang='en-us'   )
        self.assertEqual(lowerCAmelCase				,  'h ə l oʊ | h aʊ | ɑːɹ | j uː |'   )




  def     A__	(							self   )    ->					List[str]:
        '''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(lowerCAmelCase				,  phonemizer_lang='en-us'   )
        self.assertEqual(tokenizer(lowerCAmelCase   ).input_ids				,  tokenizer(lowerCAmelCase				,  do_phonemize=lowerCAmelCase   ).input_ids   )




  def     A__	(							self   )    ->					Dict:
        '''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(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
        _lowercase      			=tokenizer.decode(sample_ids[0]				,  filter_word_delimiter_token=lowerCAmelCase   )
        _lowercase      			=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   )    ->					str:
        '''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(lowerCAmelCase				,  phonemizer_lang='en-us'   )

        _lowercase      			=tokenizer.decode(tokenizer(lowerCAmelCase   ).input_ids				,  filter_word_delimiter_token=lowerCAmelCase   )

        self.assertEqual(lowerCAmelCase				,  lowerCAmelCase   )




  def     A__	(							self   )    ->					int:
        '''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(lowerCAmelCase				,  phonemizer_lang='en-us'   )

        _lowercase      			=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   )    ->					Union[str, Any]:
        '''simple docstring'''






        _lowercase      			=self.tokenizer_class.from_pretrained(
            'facebook/wav2vec2-lv-60-espeak-cv-ft'				,  word_delimiter_token=lowerCAmelCase   )
        _lowercase      			='Hello how are you'

        _lowercase      			=tokenizer(lowerCAmelCase				,  phonemizer_lang='en-us'   ).input_ids
        _lowercase      			=tokenizer(lowerCAmelCase				,  phonemizer_lang='fr-fr'   ).input_ids

        self.assertNotEqual(lowerCAmelCase				,  lowerCAmelCase   )

        _lowercase      			=tokenizer.decode(lowerCAmelCase   )
        _lowercase      			=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   )    ->					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(lowerCAmelCase   ).input_ids
        _lowercase      			=tokenizer(lowerCAmelCase   ).input_ids

        self.assertEqual(lowerCAmelCase				,  lowerCAmelCase   )




  def     A__	(							self   )    ->					Union[str, Any]:
        '''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(lowerCAmelCase   )
        self.assertEqual(lowerCAmelCase				,  ['k s ɾ ɾ l ɭʲ!?!? $$$', 'j ð s j ð s oːɹ $$$']   )




  @staticmethod
  def     A__	(							lowerCAmelCase				,  lowerCAmelCase   )    ->					Union[str, Any]:
        '''simple docstring'''






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




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






        _lowercase      			=self.get_tokenizer(word_delimiter_token='|'   )

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

              # 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				,  lowerCAmelCase   ):
                    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
        _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(lowerCAmelCase				,  output_char_offsets=lowerCAmelCase   )
        _lowercase      			=[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   )    ->					Union[str, Any]:
        '''simple docstring'''






        pass




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






        pass




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






        pass




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






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

                    _lowercase      			=['aaaaa bbbbbb', 'cccccccccdddddddd']
                    _lowercase      			=tokenizer.add_tokens(lowerCAmelCase   )
                    _lowercase      			=tokenizer.vocab_size
                    _lowercase      			=len(lowerCAmelCase   )

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

                    _lowercase      			=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   )

                    _lowercase      			={'eos_token': '>>>>|||<||<<|<<', 'pad_token': '<<<<<|||>|>>>>|>'}
                    _lowercase      			=tokenizer.add_special_tokens(lowerCAmelCase   )
                    _lowercase      			=tokenizer.vocab_size
                    _lowercase      			=len(lowerCAmelCase   )

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

                    _lowercase      			=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   )    ->					Dict:
        '''simple docstring'''






        pass




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






        pass




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






        _lowercase      			=self.get_tokenizers(fast=lowerCAmelCase				,  do_lower_case=lowerCAmelCase   )
        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(lowerCAmelCase   )

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





from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase_   							=  logging.get_logger(__name__)

lowercase_   							=  {
    'facebook/timesformer': 'https://huggingface.co/facebook/timesformer/resolve/main/config.json',
}





class 					__lowerCAmelCase	(   SCREAMING_SNAKE_CASE				):
  _a		     =    """timesformer"""




  def __init__(							self				,  lowerCAmelCase=224				,  lowerCAmelCase=16				,  lowerCAmelCase=3				,  lowerCAmelCase=8				,  lowerCAmelCase=768				,  lowerCAmelCase=12				,  lowerCAmelCase=12				,  lowerCAmelCase=3_072				,  lowerCAmelCase="gelu"				,  lowerCAmelCase=0.0				,  lowerCAmelCase=0.0				,  lowerCAmelCase=0.02				,  lowerCAmelCase=1e-6				,  lowerCAmelCase=True				,  lowerCAmelCase="divided_space_time"				,  lowerCAmelCase=0				,  **lowerCAmelCase				,  )    ->					Any:
        '''simple docstring'''






        super().__init__(**lowerCAmelCase   )

        _lowercase      			=image_size
        _lowercase      			=patch_size
        _lowercase      			=num_channels
        _lowercase      			=num_frames

        _lowercase      			=hidden_size
        _lowercase      			=num_hidden_layers
        _lowercase      			=num_attention_heads
        _lowercase      			=intermediate_size
        _lowercase      			=hidden_act
        _lowercase      			=hidden_dropout_prob
        _lowercase      			=attention_probs_dropout_prob
        _lowercase      			=initializer_range
        _lowercase      			=layer_norm_eps
        _lowercase      			=qkv_bias

        _lowercase      			=attention_type
        _lowercase      			=drop_path_rate


