


'''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 	snake_case       (       lowercase     ,		unittest.TestCase     ):





  """simple docstring"""




  _lowerCamelCase						       =    WavaVecaPhonemeCTCTokenizer
  _lowerCamelCase						       =    False






  def     snake_case						(       self	):







   """simple docstring"""
   super().setUp()

   lowerCamelCase_						=    (
       "<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(" "	)
   lowerCamelCase_						=    dict(zip(UpperCamelCase     ,    range(len(UpperCamelCase	)	)	)	)

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

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






  def     snake_case						(       self     ,    UpperCamelCase     ,    UpperCamelCase=False     ,    UpperCamelCase=20     ,    UpperCamelCase=5	):







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

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






  def     snake_case						(       self     ,    **UpperCamelCase	):







   """simple docstring"""
   kwargs.update(self.special_tokens_map	)
   return WavaVecaPhonemeCTCTokenizer.from_pretrained(self.tmpdirname     ,    **UpperCamelCase	)






  def     snake_case						(       self	):







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

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

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

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






  def     snake_case						(       self	):







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

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






  def     snake_case						(       self	):







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

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






  def     snake_case						(       self	):







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

   lowerCamelCase_						=    tokenizer.decode(tokenizer(UpperCamelCase	).input_ids	)

   self.assertEqual(UpperCamelCase     ,    UpperCamelCase	)






  def     snake_case						(       self	):







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

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






  def     snake_case						(       self	):







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

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






  def     snake_case						(       self	):







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

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






  def     snake_case						(       self	):







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

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

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






  def     snake_case						(       self	):







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

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

   lowerCamelCase_						=    tokenizer.decode(tokenizer(UpperCamelCase	).input_ids     ,    filter_word_delimiter_token=UpperCamelCase	)

   self.assertEqual(UpperCamelCase     ,    UpperCamelCase	)






  def     snake_case						(       self	):







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

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

   lowerCamelCase_						=    tokenizer.decode(tokenizer(UpperCamelCase	).input_ids     ,    filter_word_delimiter_token=UpperCamelCase	)

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






  def     snake_case						(       self	):







   """simple docstring"""
   lowerCamelCase_						=    self.tokenizer_class.from_pretrained(
       "facebook/wav2vec2-lv-60-espeak-cv-ft"     ,    word_delimiter_token=UpperCamelCase	)
   lowerCamelCase_						=    "Hello how are you"

   lowerCamelCase_						=    tokenizer(UpperCamelCase     ,    phonemizer_lang="en-us"	).input_ids
   lowerCamelCase_						=    tokenizer(UpperCamelCase     ,    phonemizer_lang="fr-fr"	).input_ids

   self.assertNotEqual(UpperCamelCase     ,    UpperCamelCase	)

   lowerCamelCase_						=    tokenizer.decode(UpperCamelCase	)
   lowerCamelCase_						=    tokenizer.decode(UpperCamelCase	)

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






  def     snake_case						(       self	):







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

   lowerCamelCase_						=    tokenizer(UpperCamelCase	).input_ids
   lowerCamelCase_						=    tokenizer(UpperCamelCase	).input_ids

   self.assertEqual(UpperCamelCase     ,    UpperCamelCase	)






  def     snake_case						(       self	):







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

   # fmt: off
   lowerCamelCase_						=    [
       [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

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






  @staticmethod
  def     snake_case						(       UpperCamelCase     ,    UpperCamelCase	):







   """simple docstring"""
   lowerCamelCase_						=    [d[key] for d in offsets]
   return retrieved_list






  def     snake_case						(       self	):







   """simple docstring"""
   lowerCamelCase_						=    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"
   lowerCamelCase_						=    [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

   lowerCamelCase_						=    tokenizer.decode(UpperCamelCase     ,    output_char_offsets=UpperCamelCase     ,    filter_word_delimiter_token=UpperCamelCase	)
   # check Wav2Vec2CTCTokenizerOutput keys for char
   self.assertEqual(len(outputs.keys()	)     ,    2	)
   self.assertTrue("text" in outputs	)
   self.assertTrue("char_offsets" in outputs	)
   self.assertTrue(isinstance(UpperCamelCase     ,    UpperCamelCase	)	)

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

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






  def     snake_case						(       self	):







   """simple docstring"""
   lowerCamelCase_						=    self.get_tokenizer(word_delimiter_token="|"	)

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

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

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

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






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







   """simple docstring"""
   pass






  @unittest.skip("Wav2Vec2PhonemeTokenizer always puts spaces between phonemes"	)
  def     snake_case						(       self	):







   """simple docstring"""
   pass






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







   """simple docstring"""
   pass






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







   """simple docstring"""
   pass






  def     snake_case						(       self	):







   """simple docstring"""
   lowerCamelCase_						=    self.get_tokenizers(do_lower_case=UpperCamelCase	)
   for tokenizer in tokenizers:
    with self.subTest(f'''{tokenizer.__class__.__name__}'''	):
     lowerCamelCase_						=    tokenizer.vocab_size
     lowerCamelCase_						=    len(UpperCamelCase	)

     self.assertNotEqual(UpperCamelCase     ,    0	)

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

     lowerCamelCase_						=    ["aaaaa bbbbbb", "cccccccccdddddddd"]
     lowerCamelCase_						=    tokenizer.add_tokens(UpperCamelCase	)
     lowerCamelCase_						=    tokenizer.vocab_size
     lowerCamelCase_						=    len(UpperCamelCase	)

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

     lowerCamelCase_						=    tokenizer.encode("aaaaa bbbbbb low cccccccccdddddddd l"     ,    add_special_tokens=UpperCamelCase	)

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

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

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

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

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






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







   """simple docstring"""
   pass






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







   """simple docstring"""
   pass







  def     snake_case						(       self	):







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

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






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase_   							=  {
    'configuration_timesformer': ['TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP', 'TimesformerConfig'],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase_   							=  [
      'TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
      'TimesformerModel',
      'TimesformerForVideoClassification',
      'TimesformerPreTrainedModel',
  ]

if TYPE_CHECKING:
  from .configuration_timesformer import TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, TimesformerConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_timesformer import (
        TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        TimesformerForVideoClassification,
        TimesformerModel,
        TimesformerPreTrainedModel,
    )

else:
  import sys

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


