






from __future__ import annotations

from collections.abc import Iterable
from dataclasses import dataclass
from typing import Any




class        _lowerCAmelCase:





       """simple docstring"""







       a       :	Dict								=('''_front''', '''_back''', '''_len''')




       @dataclass
       class        _lowerCAmelCase:





              """simple docstring"""







              a       :	Any								=None
              a       :	Deque._Node | None								=None
              a       :	Deque._Node | None								=None







       class        _lowerCAmelCase:





              """simple docstring"""







              a       :	Dict								=('''_cur''',)





              def __init__(      self						,    _lowerCamelCase							):
                UpperCamelCase_:      List[Any]					   =       cur





              def __iter__(      self							):
                return self





              def     _a					(      self							):
                if self._cur is None:
                  # finished iterating
                  raise StopIteration
                UpperCamelCase_:      List[Any]					   =       self._cur.val
                UpperCamelCase_:      int					   =       self._cur.next_node

                return val







       def __init__(      self						,    _lowerCamelCase = None							):
         UpperCamelCase_:      Any					   =       None
         UpperCamelCase_:      Any					   =       None
         UpperCamelCase_:      int					   =       0

         if iterable is not None:
           # append every value to the deque
           for val in iterable:
             self.append(_lowerCamelCase							)





       def     _a					(      self						,    _lowerCamelCase							):
         UpperCamelCase_:      Dict					   =       self._Node(_lowerCamelCase						,    _lowerCamelCase						,    _lowerCamelCase							)
         if self.is_empty():
           # front = back
           UpperCamelCase_:      Dict					   =       node
           UpperCamelCase_:      List[str]					   =       1
         else:
           # connect nodes
           UpperCamelCase_:      List[str]					   =       node
           UpperCamelCase_:      List[str]					   =       self._back
           UpperCamelCase_:      Optional[Any]					   =       node  # assign new back to the new node

           self._len += 1

           # make sure there were no errors
           assert not self.is_empty(), "Error on appending value."





       def     _a					(      self						,    _lowerCamelCase							):
         UpperCamelCase_:      Tuple					   =       self._Node(_lowerCamelCase						,    _lowerCamelCase						,    _lowerCamelCase							)
         if self.is_empty():
           # front = back
           UpperCamelCase_:      Union[str, Any]					   =       node
           UpperCamelCase_:      Optional[Any]					   =       1
         else:
           # connect nodes
           UpperCamelCase_:      Optional[Any]					   =       self._front
           UpperCamelCase_:      Optional[Any]					   =       node
           UpperCamelCase_:      int					   =       node  # assign new front to the new node

           self._len += 1

           # make sure there were no errors
           assert not self.is_empty(), "Error on appending value."





       def     _a					(      self						,    _lowerCamelCase							):
         for val in iterable:
           self.append(_lowerCamelCase							)





       def     _a					(      self						,    _lowerCamelCase							):
         for val in iterable:
           self.appendleft(_lowerCamelCase							)





       def     _a					(      self							):
         assert not self.is_empty(), "Deque is empty."

         UpperCamelCase_:      Optional[int]					   =       self._back
         UpperCamelCase_:      int					   =       self._back.prev_node  # set new back
         # drop the last node - python will deallocate memory automatically
         UpperCamelCase_:      List[str]					   =       None

         self._len -= 1

         return topop.val





       def     _a					(      self							):
         assert not self.is_empty(), "Deque is empty."

         UpperCamelCase_:      List[Any]					   =       self._front
         UpperCamelCase_:      Tuple					   =       self._front.next_node  # set new front and drop the first node
         UpperCamelCase_:      str					   =       None

         self._len -= 1

         return topop.val





       def     _a					(      self							):
         return self._front is None





       def __len__(      self							):
         return self._len





       def __eq__(      self						,    _lowerCamelCase							):

         if not isinstance(_lowerCamelCase						,    _lowerCamelCase							):
           return NotImplemented

         UpperCamelCase_:      Union[str, Any]					   =       self._front
         UpperCamelCase_:      Optional[Any]					   =       other._front

         # if the length of the dequeues are not the same, they are not equal
         if len(self							) != len(_lowerCamelCase							):
           return False

         while me is not None and oth is not None:
           # compare every value
           if me.val != oth.val:
             return False
           UpperCamelCase_:      Optional[Any]					   =       me.next_node
           UpperCamelCase_:      Union[str, Any]					   =       oth.next_node

         return True





       def __iter__(      self							):
         return Deque._Iterator(self._front							)





       def __repr__(      self							):
         UpperCamelCase_:      str					   =       []
         UpperCamelCase_:      Dict					   =       self._front
         while aux is not None:
           # append the values in a list to display
           values_list.append(aux.val							)
           UpperCamelCase_:      Optional[Any]					   =       aux.next_node

         return f'''[{', '.join(repr(_lowerCamelCase							) for val in values_list							)}]'''


if __name__ == "__main__":
   import doctest

   doctest.testmod()







import os
from shutil import copyfile
from typing import Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
   from .tokenization_reformer import ReformerTokenizer
else:
   A_	:	Union[str, Any]				=				None


A_	:	List[Any]				=				logging.get_logger(__name__)


A_	:	List[str]				=				'▁'

A_	:	int				=				{'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

A_	:	Optional[Any]				=				{
    'vocab_file': {
        'google/reformer-crime-and-punishment': (
            'https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model'
        )
    },
    'tokenizer_file': {
        'google/reformer-crime-and-punishment': (
            'https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/tokenizer.json'
        )
    },
}

A_	:	List[Any]				=				{
    'google/reformer-crime-and-punishment': 524288,
}




class        _lowerCAmelCase( UpperCAmelCase_      ):





       """simple docstring"""







       a       :	int								=VOCAB_FILES_NAMES
       a       :	Optional[Any]								=PRETRAINED_VOCAB_FILES_MAP
       a       :	List[Any]								=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       a       :	Tuple								=['''input_ids''', '''attention_mask''']
       a       :	Optional[Any]								=ReformerTokenizer





       def __init__(      self						,    _lowerCamelCase=None						,    _lowerCamelCase=None						,    _lowerCamelCase="</s>"						,    _lowerCamelCase="<unk>"						,    _lowerCamelCase=[]						,    **_lowerCamelCase						,    ):
         super().__init__(
             _lowerCamelCase						,    tokenizer_file=_lowerCamelCase						,    eos_token=_lowerCamelCase						,    unk_token=_lowerCamelCase						,    additional_special_tokens=_lowerCamelCase						,    **_lowerCamelCase						,    )

         UpperCamelCase_:      Any					   =       vocab_file
         UpperCamelCase_:      str					   =       False if not self.vocab_file else True





       def     _a					(      self						,    _lowerCamelCase						,    _lowerCamelCase = None							):
         if not self.can_save_slow_tokenizer:
           raise ValueError(
               'Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '
               'tokenizer.'							)

         if not os.path.isdir(_lowerCamelCase							):
           logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''							)
           return
         UpperCamelCase_:      str					   =       os.path.join(
             _lowerCamelCase						,    (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']							)

         if os.path.abspath(self.vocab_file							) != os.path.abspath(_lowerCamelCase							):
           copyfile(self.vocab_file						,    _lowerCamelCase							)

         return (out_vocab_file,)