





import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english



@require_tokenizers
class 							_UpperCAmelCase       (       _UpperCamelCase						,       unittest.TestCase       ):

  """simple docstring"""


  a_              =					RoCBertTokenizer
  a_              =					None
  a_              =					False
  a_              =					True
  a_              =					filter_non_english






  def 							lowercase						(							self					:						int	)				->		Tuple:
     super().setUp()

     __lowerCAmelCase				      =      ['[UNK]', '[CLS]', '[SEP]', '[PAD]', '[MASK]', '你', '好', '是', '谁', 'a', 'b', 'c', 'd']
     __lowerCAmelCase				      =      {}
     __lowerCAmelCase				      =      {}
     for i, value in enumerate(_lowerCAmelCase	):
        __lowerCAmelCase				      =      i
        __lowerCAmelCase				      =      i
     __lowerCAmelCase				      =      os.path.join(self.tmpdirname   ,    VOCAB_FILES_NAMES['vocab_file']	)
     __lowerCAmelCase				      =      os.path.join(self.tmpdirname   ,    VOCAB_FILES_NAMES['word_shape_file']	)
     __lowerCAmelCase				      =      os.path.join(self.tmpdirname   ,    VOCAB_FILES_NAMES['word_pronunciation_file']	)
     with open(self.vocab_file   ,    'w'   ,    encoding='utf-8'	) as vocab_writer:
        vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]	)	)
     with open(self.word_shape_file   ,    'w'   ,    encoding='utf-8'	) as word_shape_writer:
        json.dump(_lowerCAmelCase   ,    _lowerCAmelCase   ,    ensure_ascii=_lowerCAmelCase	)
     with open(self.word_pronunciation_file   ,    'w'   ,    encoding='utf-8'	) as word_pronunciation_writer:
        json.dump(_lowerCAmelCase   ,    _lowerCAmelCase   ,    ensure_ascii=_lowerCAmelCase	)






  def 							lowercase						(							self					:						Any	)				->		List[str]:
     __lowerCAmelCase				      =      self.tokenizer_class(self.vocab_file   ,    self.word_shape_file   ,    self.word_pronunciation_file	)

     __lowerCAmelCase				      =      tokenizer.tokenize('你好[SEP]你是谁'	)
     self.assertListEqual(_lowerCAmelCase   ,    ['你', '好', '[SEP]', '你', '是', '谁']	)
     self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCAmelCase	)   ,    [5, 6, 2, 5, 7, 8]	)
     self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(_lowerCAmelCase	)   ,    [5, 6, 2, 5, 7, 8]	)
     self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(_lowerCAmelCase	)   ,    [5, 6, 2, 5, 7, 8]	)






  def 							lowercase						(							self					:						Any	)				->		str:
     __lowerCAmelCase				      =      RoCBertBasicTokenizer()

     self.assertListEqual(tokenizer.tokenize('ah\u535A\u63A8zz'	)   ,    ['ah', '\u535A', '\u63A8', 'zz']	)






  def 							lowercase						(							self					:						Tuple	)				->		Optional[int]:
     __lowerCAmelCase				      =      RoCBertBasicTokenizer(do_lower_case=_lowerCAmelCase	)

     self.assertListEqual(
         tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '	)   ,    ['hello', '!', 'how', 'are', 'you', '?']	)
     self.assertListEqual(tokenizer.tokenize('H\u00E9llo'	)   ,    ['hello']	)






  def 							lowercase						(							self					:						List[Any]	)				->		int:
     __lowerCAmelCase				      =      RoCBertBasicTokenizer(do_lower_case=_lowerCAmelCase   ,    strip_accents=_lowerCAmelCase	)

     self.assertListEqual(
         tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '	)   ,    ['hällo', '!', 'how', 'are', 'you', '?']	)
     self.assertListEqual(tokenizer.tokenize('H\u00E9llo'	)   ,    ['h\u00E9llo']	)






  def 							lowercase						(							self					:						Any	)				->		List[str]:
     __lowerCAmelCase				      =      RoCBertBasicTokenizer(do_lower_case=_lowerCAmelCase   ,    strip_accents=_lowerCAmelCase	)

     self.assertListEqual(
         tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '	)   ,    ['hallo', '!', 'how', 'are', 'you', '?']	)
     self.assertListEqual(tokenizer.tokenize('H\u00E9llo'	)   ,    ['hello']	)






  def 							lowercase						(							self					:						Optional[Any]	)				->		List[str]:
     __lowerCAmelCase				      =      RoCBertBasicTokenizer(do_lower_case=_lowerCAmelCase	)

     self.assertListEqual(
         tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '	)   ,    ['hallo', '!', 'how', 'are', 'you', '?']	)
     self.assertListEqual(tokenizer.tokenize('H\u00E9llo'	)   ,    ['hello']	)






  def 							lowercase						(							self					:						Dict	)				->		Tuple:
     __lowerCAmelCase				      =      RoCBertBasicTokenizer(do_lower_case=_lowerCAmelCase	)

     self.assertListEqual(
         tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '	)   ,    ['HeLLo', '!', 'how', 'Are', 'yoU', '?']	)






  def 							lowercase						(							self					:						Union[str, Any]	)				->		Tuple:
     __lowerCAmelCase				      =      RoCBertBasicTokenizer(do_lower_case=_lowerCAmelCase   ,    strip_accents=_lowerCAmelCase	)

     self.assertListEqual(
         tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '	)   ,    ['HäLLo', '!', 'how', 'Are', 'yoU', '?']	)






  def 							lowercase						(							self					:						Union[str, Any]	)				->		str:
     __lowerCAmelCase				      =      RoCBertBasicTokenizer(do_lower_case=_lowerCAmelCase   ,    strip_accents=_lowerCAmelCase	)

     self.assertListEqual(
         tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '	)   ,    ['HaLLo', '!', 'how', 'Are', 'yoU', '?']	)






  def 							lowercase						(							self					:						int	)				->		Tuple:
     __lowerCAmelCase				      =      RoCBertBasicTokenizer(do_lower_case=_lowerCAmelCase   ,    never_split=['[UNK]']	)

     self.assertListEqual(
         tokenizer.tokenize(' \tHeLLo!how  \n Are yoU? [UNK]'	)   ,    ['HeLLo', '!', 'how', 'Are', 'yoU', '?', '[UNK]']	)






  def 							lowercase						(							self					:						List[Any]	)				->		Optional[int]:
     __lowerCAmelCase				      =      ['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

     __lowerCAmelCase				      =      {}
     for i, token in enumerate(_lowerCAmelCase	):
        __lowerCAmelCase				      =      i
     __lowerCAmelCase				      =      RoCBertWordpieceTokenizer(vocab=_lowerCAmelCase   ,    unk_token='[UNK]'	)

     self.assertListEqual(tokenizer.tokenize(''	)   ,    []	)

     self.assertListEqual(tokenizer.tokenize('unwanted running'	)   ,    ['un', '##want', '##ed', 'runn', '##ing']	)

     self.assertListEqual(tokenizer.tokenize('unwantedX running'	)   ,    ['[UNK]', 'runn', '##ing']	)






  def 							lowercase						(							self					:						List[str]	)				->		Any:
     self.assertTrue(_is_whitespace(' '	)	)
     self.assertTrue(_is_whitespace('\t'	)	)
     self.assertTrue(_is_whitespace('\r'	)	)
     self.assertTrue(_is_whitespace('\n'	)	)
     self.assertTrue(_is_whitespace('\u00A0'	)	)

     self.assertFalse(_is_whitespace('A'	)	)
     self.assertFalse(_is_whitespace('-'	)	)






  def 							lowercase						(							self					:						int	)				->		Optional[Any]:
     self.assertTrue(_is_control('\u0005'	)	)

     self.assertFalse(_is_control('A'	)	)
     self.assertFalse(_is_control(' '	)	)
     self.assertFalse(_is_control('\t'	)	)
     self.assertFalse(_is_control('\r'	)	)






  def 							lowercase						(							self					:						List[str]	)				->		Union[str, Any]:
     self.assertTrue(_is_punctuation('-'	)	)
     self.assertTrue(_is_punctuation('$'	)	)
     self.assertTrue(_is_punctuation('`'	)	)
     self.assertTrue(_is_punctuation('.'	)	)

     self.assertFalse(_is_punctuation('A'	)	)
     self.assertFalse(_is_punctuation(' '	)	)






  def 							lowercase						(							self					:						List[Any]	)				->		Optional[int]:
     __lowerCAmelCase				      =      self.get_tokenizer()

     # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
     self.assertListEqual([tokenizer.tokenize(_lowerCAmelCase	) for t in ['Test', '\xad', 'test']]   ,    [['[UNK]'], [], ['[UNK]']]	)

     if self.test_rust_tokenizer:
        __lowerCAmelCase				      =      self.get_rust_tokenizer()
        self.assertListEqual(
            [rust_tokenizer.tokenize(_lowerCAmelCase	) for t in ['Test', '\xad', 'test']]   ,    [['[UNK]'], [], ['[UNK]']]	)






  def 							lowercase						(							self					:						Union[str, Any]	)				->		Optional[Any]:
     for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
        with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""	):
           __lowerCAmelCase				      =      self.rust_tokenizer_class.from_pretrained(_lowerCAmelCase   ,    **_lowerCAmelCase	)

           __lowerCAmelCase				      =      f"""A, naïve {tokenizer_r.mask_token} AllenNLP sentence."""
           __lowerCAmelCase				      =      tokenizer_r.encode_plus(
               _lowerCAmelCase   ,    return_attention_mask=_lowerCAmelCase   ,    return_token_type_ids=_lowerCAmelCase   ,    return_offsets_mapping=_lowerCAmelCase   ,    add_special_tokens=_lowerCAmelCase   ,    )

           __lowerCAmelCase				      =      tokenizer_r.do_lower_case if hasattr(_lowerCAmelCase   ,    'do_lower_case'	) else False
           __lowerCAmelCase				      =      (
               [
                   ((0, 0), tokenizer_r.cls_token),
                   ((0, 1), 'A'),
                   ((1, 2), ','),
                   ((3, 5), 'na'),
                   ((5, 6), '##ï'),
                   ((6, 8), '##ve'),
                   ((9, 1_5), tokenizer_r.mask_token),
                   ((1_6, 2_1), 'Allen'),
                   ((2_1, 2_3), '##NL'),
                   ((2_3, 2_4), '##P'),
                   ((2_5, 3_3), 'sentence'),
                   ((3_3, 3_4), '.'),
                   ((0, 0), tokenizer_r.sep_token),
               ]
               if not do_lower_case
               else [
                   ((0, 0), tokenizer_r.cls_token),
                   ((0, 1), 'a'),
                   ((1, 2), ','),
                   ((3, 8), 'naive'),
                   ((9, 1_5), tokenizer_r.mask_token),
                   ((1_6, 2_1), 'allen'),
                   ((2_1, 2_3), '##nl'),
                   ((2_3, 2_4), '##p'),
                   ((2_5, 3_3), 'sentence'),
                   ((3_3, 3_4), '.'),
                   ((0, 0), tokenizer_r.sep_token),
               ]
           )

           self.assertEqual(
               [e[1] for e in expected_results]   ,    tokenizer_r.convert_ids_to_tokens(tokens['input_ids']	)	)
           self.assertEqual([e[0] for e in expected_results]   ,    tokens['offset_mapping']	)






  def 							lowercase						(							self					:						Dict	)				->		Tuple:
     __lowerCAmelCase				      =      ['的', '人', '有']
     __lowerCAmelCase				      =      ''.join(_lowerCAmelCase	)
     for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
        with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""	):
           __lowerCAmelCase				      =      True
           __lowerCAmelCase				      =      self.tokenizer_class.from_pretrained(_lowerCAmelCase   ,    **_lowerCAmelCase	)
           __lowerCAmelCase				      =      self.rust_tokenizer_class.from_pretrained(_lowerCAmelCase   ,    **_lowerCAmelCase	)

           __lowerCAmelCase				      =      tokenizer_p.encode(_lowerCAmelCase   ,    add_special_tokens=_lowerCAmelCase	)
           __lowerCAmelCase				      =      tokenizer_r.encode(_lowerCAmelCase   ,    add_special_tokens=_lowerCAmelCase	)

           __lowerCAmelCase				      =      tokenizer_r.convert_ids_to_tokens(_lowerCAmelCase	)
           __lowerCAmelCase				      =      tokenizer_p.convert_ids_to_tokens(_lowerCAmelCase	)

           # it is expected that each Chinese character is not preceded by "##"
           self.assertListEqual(_lowerCAmelCase   ,    _lowerCAmelCase	)
           self.assertListEqual(_lowerCAmelCase   ,    _lowerCAmelCase	)

           __lowerCAmelCase				      =      False
           __lowerCAmelCase				      =      self.rust_tokenizer_class.from_pretrained(_lowerCAmelCase   ,    **_lowerCAmelCase	)
           __lowerCAmelCase				      =      self.tokenizer_class.from_pretrained(_lowerCAmelCase   ,    **_lowerCAmelCase	)

           __lowerCAmelCase				      =      tokenizer_r.encode(_lowerCAmelCase   ,    add_special_tokens=_lowerCAmelCase	)
           __lowerCAmelCase				      =      tokenizer_p.encode(_lowerCAmelCase   ,    add_special_tokens=_lowerCAmelCase	)

           __lowerCAmelCase				      =      tokenizer_r.convert_ids_to_tokens(_lowerCAmelCase	)
           __lowerCAmelCase				      =      tokenizer_p.convert_ids_to_tokens(_lowerCAmelCase	)

           # it is expected that only the first Chinese character is not preceded by "##".
           __lowerCAmelCase				      =      [
               f"""##{token}""" if idx != 0 else token for idx, token in enumerate(_lowerCAmelCase	)
           ]
           self.assertListEqual(_lowerCAmelCase   ,    _lowerCAmelCase	)
           self.assertListEqual(_lowerCAmelCase   ,    _lowerCAmelCase	)






  @slow
  def 							lowercase						(							self					:						Any	)				->		Any:
     __lowerCAmelCase				      =      self.tokenizer_class(self.vocab_file   ,    self.word_shape_file   ,    self.word_pronunciation_file	)

     __lowerCAmelCase				      =      tokenizer.encode('你好'   ,    add_special_tokens=_lowerCAmelCase	)
     __lowerCAmelCase				      =      tokenizer.encode('你是谁'   ,    add_special_tokens=_lowerCAmelCase	)

     __lowerCAmelCase				      =      tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase	)
     __lowerCAmelCase				      =      tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase   ,    _lowerCAmelCase	)

     assert encoded_sentence == [1] + text + [2]
     assert encoded_pair == [1] + text + [2] + text_a + [2]






  def 							lowercase						(							self					:						Any	)				->		Tuple:
     __lowerCAmelCase				      =      self.get_tokenizers(do_lower_case=_lowerCAmelCase	)
     for tokenizer in tokenizers:
        with self.subTest(f"""{tokenizer.__class__.__name__}"""	):
           __lowerCAmelCase				      =      '你好，你是谁'
           __lowerCAmelCase				      =      tokenizer.tokenize(_lowerCAmelCase	)
           __lowerCAmelCase				      =      tokenizer.convert_tokens_to_ids(_lowerCAmelCase	)
           __lowerCAmelCase				      =      tokenizer.convert_tokens_to_shape_ids(_lowerCAmelCase	)
           __lowerCAmelCase				      =      tokenizer.convert_tokens_to_pronunciation_ids(_lowerCAmelCase	)
           __lowerCAmelCase				      =      tokenizer.prepare_for_model(
               _lowerCAmelCase   ,    _lowerCAmelCase   ,    _lowerCAmelCase   ,    add_special_tokens=_lowerCAmelCase	)

           __lowerCAmelCase				      =      tokenizer.encode_plus(_lowerCAmelCase   ,    add_special_tokens=_lowerCAmelCase	)

           self.assertEqual(_lowerCAmelCase   ,    _lowerCAmelCase	)





import json
import os
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


SCREAMING_SNAKE_CASE						:Union[str, Any]			=  logging.get_logger(__name__)


SCREAMING_SNAKE_CASE						:Dict			=  {
    '''vocab_file''': '''vocab.json''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
    '''merges_file''': '''merges.txt''',
}

SCREAMING_SNAKE_CASE						:Optional[int]			=  {
    '''vocab_file''': {
        '''facebook/s2t-wav2vec2-large-en-de''': (
            '''https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/vocab.json'''
        ),
    },
    '''tokenizer_config_file''': {
        '''facebook/s2t-wav2vec2-large-en-de''': (
            '''https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/tokenizer_config.json'''
        ),
    },
    '''merges_file''': {
        '''facebook/s2t-wav2vec2-large-en-de''': (
            '''https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/merges.txt'''
        ),
    },
}

SCREAMING_SNAKE_CASE						:List[str]			=  '''</w>'''
SCREAMING_SNAKE_CASE						:int			=  '''@@ '''



def       _lowerCAmelCase    (				lowerCAmelCase_				:int				)->int:
   '''simple docstring'''






   snake_case_            =       set()
   snake_case_            =       word[0]
   for char in word[1:]:
      pairs.add((prev_char, char)				)
      snake_case_            =       char
   return pairs


# Speech2Text2 has no max input length
SCREAMING_SNAKE_CASE						:Tuple			=  {'''facebook/s2t-wav2vec2-large-en-de''': 10_24}



class      __lowerCAmelCase  (			a       ):






  """simple docstring"""





  _SCREAMING_SNAKE_CASE		     =							VOCAB_FILES_NAMES
  _SCREAMING_SNAKE_CASE		     =							PRETRAINED_VOCAB_FILES_MAP
  _SCREAMING_SNAKE_CASE		     =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _SCREAMING_SNAKE_CASE		     =							['input_ids', 'attention_mask']



  def __init__(  self							:							List[Any]     ,					_lowerCAmelCase							:							str     ,					_lowerCAmelCase							:							Union[str, Any]="<s>"     ,					_lowerCAmelCase							:							Tuple="<pad>"     ,					_lowerCAmelCase							:							Union[str, Any]="</s>"     ,					_lowerCAmelCase							:							str="<unk>"     ,					_lowerCAmelCase							:							Union[str, Any]=False     ,					_lowerCAmelCase							:							List[str]=None     ,					**_lowerCAmelCase							:							List[str]     ,					) ->			List[str]:




     """simple docstring"""
     super().__init__(
         unk_token=_lowerCAmelCase     ,					bos_token=_lowerCAmelCase     ,					eos_token=_lowerCAmelCase     ,					pad_token=_lowerCAmelCase     ,					do_lower_case=_lowerCAmelCase     ,					**_lowerCAmelCase     ,					)

     snake_case_            =       do_lower_case

     with open(_lowerCAmelCase     ,					encoding="utf-8"	) as vocab_handle:
        snake_case_            =       json.load(_lowerCAmelCase	)
     snake_case_            =       {v: k for k, v in self.encoder.items()}

     if merges_file is None:
        logger.info(F'''No merges files provided. {self.__class__.__name__} can only be used for decoding.'''	)

        snake_case_            =       None
        snake_case_            =       None
     else:
        with open(_lowerCAmelCase     ,					encoding="utf-8"	) as merges_handle:
           snake_case_            =       merges_handle.read().split("\n"	)[:-1]

        snake_case_            =       [tuple(merge.split()[:2]	) for merge in merges]
        snake_case_            =       dict(zip(_lowerCAmelCase     ,					range(len(_lowerCAmelCase	)	)	)	)
        snake_case_            =       {}



  @property
  def        lowerCAmelCase__	(  self							:							Union[str, Any]	) ->			int:




     """simple docstring"""
     return len(self.decoder	)



  def        lowerCAmelCase__	(  self							:							Any	) ->			Dict:




     """simple docstring"""
     return dict(self.encoder     ,					**self.added_tokens_encoder	)



  def        lowerCAmelCase__	(  self							:							Union[str, Any]     ,					_lowerCAmelCase							:							Any	) ->			Tuple:




     """simple docstring"""
     snake_case_            =       tuple(token[:-1]	) + (token[-1] + BPE_TOKEN_MERGES,)
     if token in self.cache:
        return self.cache[token]
     snake_case_            =       get_pairs(_lowerCAmelCase	)

     if not pairs:
        return token

     while True:
        snake_case_            =       min(_lowerCAmelCase     ,					key=lambda _lowerCAmelCase	: self.bpe_ranks.get(_lowerCAmelCase     ,					float("inf"	)	)	)
        if bigram not in self.bpe_ranks:
           break
        snake_case_     ,     snake_case_            =       bigram
        snake_case_            =       []
        snake_case_            =       0
        while i < len(_lowerCAmelCase	):
           try:
              snake_case_            =       word.index(_lowerCAmelCase     ,					_lowerCAmelCase	)
           except ValueError:
              new_word.extend(word[i:]	)
              break
           else:
              new_word.extend(word[i:j]	)
              snake_case_            =       j

           if word[i] == first and i < len(_lowerCAmelCase	) - 1 and word[i + 1] == second:
              new_word.append(first + second	)
              i += 2
           else:
              new_word.append(word[i]	)
              i += 1
        snake_case_            =       tuple(_lowerCAmelCase	)
        snake_case_            =       new_word
        if len(_lowerCAmelCase	) == 1:
           break
        else:
           snake_case_            =       get_pairs(_lowerCAmelCase	)
     snake_case_            =       " ".join(_lowerCAmelCase	)
     if word == "\n  " + BPE_TOKEN_MERGES:
        snake_case_            =       "\n" + BPE_TOKEN_MERGES

     if word.endswith(_lowerCAmelCase	):
        snake_case_            =       word.replace(_lowerCAmelCase     ,					""	)

     snake_case_            =       word.replace(" "     ,					_lowerCAmelCase	)
     snake_case_            =       word
     return word



  def        lowerCAmelCase__	(  self							:							List[Any]     ,					_lowerCAmelCase							:							List[str]	) ->			List[Any]:




     """simple docstring"""

     if self.bpe_ranks is None:
        raise ValueError(
            "This tokenizer was instantiated without a `merges.txt` file, so"
            " that it can only be used for decoding, not for encoding."
            "Make sure to provide `merges.txt` file at instantiation to enable "
            "encoding."	)

     if self.do_lower_case:
        snake_case_            =       text.lower()

     snake_case_            =       text.split()

     snake_case_            =       []
     for token in text:
        if token:
           split_tokens.extend(list(self.bpe(_lowerCAmelCase	).split(" "	)	)	)

     return split_tokens



  def        lowerCAmelCase__	(  self							:							str     ,					_lowerCAmelCase							:							str	) ->			int:




     """simple docstring"""
     return self.encoder.get(_lowerCAmelCase     ,					self.encoder.get(self.unk_token	)	)



  def        lowerCAmelCase__	(  self							:							int     ,					_lowerCAmelCase							:							int	) ->			str:




     """simple docstring"""
     snake_case_            =       self.decoder.get(_lowerCAmelCase     ,					self.unk_token	)
     return result



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




     """simple docstring"""
     snake_case_            =       " ".join(_lowerCAmelCase	)

     # make sure @@ tokens are concatenated
     snake_case_            =       "".join(string.split(_lowerCAmelCase	)	)

     return string



  def        lowerCAmelCase__	(  self							:							Tuple     ,					_lowerCAmelCase							:							str     ,					_lowerCAmelCase							:							Optional[str] = None	) ->			Tuple[str]:




     """simple docstring"""
     if not os.path.isdir(_lowerCAmelCase	):
        logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''	)
        return
     snake_case_            =       os.path.join(
         _lowerCAmelCase     ,					(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]	)
     snake_case_            =       os.path.join(
         _lowerCAmelCase     ,					(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]	)

     with open(_lowerCAmelCase     ,					"w"     ,					encoding="utf-8"	) as f:
        f.write(json.dumps(self.encoder     ,					indent=2     ,					sort_keys=_lowerCAmelCase     ,					ensure_ascii=_lowerCAmelCase	) + "\n"	)

     snake_case_            =       0
     if self.bpe_ranks is None:
        return (vocab_file,)

     with open(_lowerCAmelCase     ,					"w"     ,					encoding="utf-8"	) as writer:
        for bpe_tokens, token_index in sorted(self.bpe_ranks.items()     ,					key=lambda _lowerCAmelCase	: kv[1]	):
           if index != token_index:
              logger.warning(
                  F'''Saving vocabulary to {merges_file}: BPE merge indices are not consecutive.'''
                  " Please check that the tokenizer is not corrupted!"	)
              snake_case_            =       token_index
           writer.write(" ".join(_lowerCAmelCase	) + "\n"	)
           index += 1

     return (vocab_file, merges_file)




