





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

import regex as re

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


_lowerCamelCase			       =      logging.get_logger(__name__)


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

_lowerCamelCase			       =      {
    'vocab_file': {
        'facebook/blenderbot_small-90M': 'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json'
    },
    'merges_file': {
        'facebook/blenderbot_small-90M': 'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt'
    },
    'tokenizer_config_file': {
        'facebook/blenderbot_small-90M': (
            'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json'
        )
    },
}

_lowerCamelCase			       =      {'facebook/blenderbot_small-90M': 512}




def    __UpperCAmelCase(      lowercase_      ):
       _lowerCamelCase							:     Optional[int]	=		set()
       _lowerCamelCase							:     Optional[int]	=		word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)      )
              _lowerCamelCase							:     Tuple	=		char

       _lowerCamelCase							:     Dict	=		set(_lowerCamelCase      )
       return pairs







class 			__A       (      a__  ):




      """simple docstring"""







      UpperCAmelCase__						=      VOCAB_FILES_NAMES
      UpperCAmelCase__						=      PRETRAINED_VOCAB_FILES_MAP
      UpperCAmelCase__						=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      UpperCAmelCase__						=      ["""input_ids""", """attention_mask"""]


      def __init__(		self      ,							a__      ,							a__      ,							a__="__start__"      ,							a__="__end__"      ,							a__="__unk__"      ,							a__="__null__"      ,							**a__      ,							):



             """simple docstring"""





             super().__init__(unk_token=_A      ,							bos_token=_A      ,							eos_token=_A      ,							pad_token=_A      ,							**_A)

             with open(_A      ,							encoding='''utf-8''') as vocab_handle:
                    _lowerCamelCase							:     Union[str, Any]	=		json.load(_A)
             _lowerCamelCase							:     int	=		{v: k for k, v in self.encoder.items()}
             with open(_A      ,							encoding='''utf-8''') as merges_handle:
                    _lowerCamelCase							:     Optional[int]	=		merges_handle.read().split('''\n''')[1:-1]
             _lowerCamelCase							:     Optional[int]	=		[tuple(merge.split()) for merge in merges]
             _lowerCamelCase							:     Union[str, Any]	=		dict(zip(_A      ,							range(len(_A))))
             _lowerCamelCase							:     Dict	=		{}


      @property
      def 				__snake_case			(		self):



             """simple docstring"""





             return len(self.encoder)


      def 				__snake_case			(		self):



             """simple docstring"""





             return dict(self.encoder      ,							**self.added_tokens_encoder)


      def 				__snake_case			(		self      ,							a__):



             """simple docstring"""





             if token in self.cache:
                    return self.cache[token]
             _lowerCamelCase							:     Union[str, Any]	=		re.sub('''([.,!?()])'''      ,							r''' \1'''      ,							_A)
             _lowerCamelCase							:     Any	=		re.sub('''(\')'''      ,							r''' \1 '''      ,							_A)
             _lowerCamelCase							:     Tuple	=		re.sub(r'''\s{2,}'''      ,							''' '''      ,							_A)
             if "\n" in token:
                    _lowerCamelCase							:     Optional[Any]	=		token.replace('''\n'''      ,							''' __newln__''')

             _lowerCamelCase							:     Optional[Any]	=		token.split(''' ''')
             _lowerCamelCase							:     List[str]	=		[]
             for token in tokens:
                    if not len(_A):
                           continue

                    _lowerCamelCase							:     str	=		token.lower()
                    _lowerCamelCase							:     Optional[Any]	=		tuple(_A)
                    _lowerCamelCase							:     Union[str, Any]	=		tuple(list(word[:-1]) + [word[-1] + '''</w>'''])
                    _lowerCamelCase							:     str	=		get_pairs(_A)

                    if not pairs:
                           words.append(_A)
                           continue

                    while True:
                           _lowerCamelCase							:     str	=		min(_A      ,							key=lambda a__: self.bpe_ranks.get(_A      ,							float('''inf''')))
                           if bigram not in self.bpe_ranks:
                                  break
                           _lowerCamelCase							:     Tuple	=		bigram
                           _lowerCamelCase							:     List[Any]	=		[]
                           _lowerCamelCase							:     Any	=		0

                           while i < len(_A):
                                  try:
                                         _lowerCamelCase							:     str	=		word.index(_A      ,							_A)
                                         new_word.extend(word[i:j])
                                         _lowerCamelCase							:     Union[str, Any]	=		j
                                  except ValueError:
                                         new_word.extend(word[i:])
                                         break

                                  if word[i] == first and i < len(_A) - 1 and word[i + 1] == second:
                                         new_word.append(first + second)
                                         i += 2
                                  else:
                                         new_word.append(word[i])
                                         i += 1
                           _lowerCamelCase							:     Optional[int]	=		tuple(_A)
                           _lowerCamelCase							:     str	=		new_word
                           if len(_A) == 1:
                                  break
                           else:
                                  _lowerCamelCase							:     List[Any]	=		get_pairs(_A)
                    _lowerCamelCase							:     Any	=		'@@ '.join(_A)
                    _lowerCamelCase							:     List[str]	=		word[:-4]

                    _lowerCamelCase							:     Any	=		word
                    words.append(_A)
             return " ".join(_A)


      def 				__snake_case			(		self      ,							a__):



             """simple docstring"""





             _lowerCamelCase							:     Optional[Any]	=		[]

             _lowerCamelCase							:     int	=		re.findall(r'''\S+\n?'''      ,							_A)

             for token in words:
                    split_tokens.extend(list(self.bpe(_A).split(''' ''')))
             return split_tokens


      def 				__snake_case			(		self      ,							a__):



             """simple docstring"""





             _lowerCamelCase							:     Any	=		token.lower()
             return self.encoder.get(_A      ,							self.encoder.get(self.unk_token))


      def 				__snake_case			(		self      ,							a__):



             """simple docstring"""





             return self.decoder.get(_A      ,							self.unk_token)


      def 				__snake_case			(		self      ,							a__):



             """simple docstring"""





             _lowerCamelCase							:     Optional[Any]	=		' '.join(_A).replace('''@@ '''      ,							'''''').strip()
             return out_string



      def 				__snake_case			(		self      ,							a__      ,							a__ = None):



             """simple docstring"""





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

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

             _lowerCamelCase							:     Tuple	=		0
             with open(_A      ,							'''w'''      ,							encoding='''utf-8''') as writer:
                    writer.write('''#version: 0.2\n''')
                    for bpe_tokens, token_index in sorted(self.bpe_ranks.items()      ,							key=lambda a__: kv[1]):
                           if index != token_index:
                                  logger.warning(
                                      F"""Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."""
                                      ''' Please check that the tokenizer is not corrupted!''')
                                  _lowerCamelCase							:     Dict	=		token_index
                           writer.write(''' '''.join(_A) + '''\n''')
                           index += 1

             return vocab_file, merge_file








import warnings

from ...utils import logging
from .image_processing_donut import DonutImageProcessor


_lowerCamelCase			       =      logging.get_logger(__name__)







class 			__A       (      lowerCamelCase__  ):




      """simple docstring"""







      def __init__(		self      ,							*a__      ,							**a__):



             """simple docstring"""





             warnings.warn(
                 '''The class DonutFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
                 ''' use DonutImageProcessor instead.'''      ,							a__      ,							)
             super().__init__(*a__      ,							**a__)

