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:
      UpperCamelCase													=		None


UpperCamelCase													=		logging.get_logger(__name__)


UpperCamelCase													=		'''▁'''

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

UpperCamelCase													=		{
    '''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'''
        )
    },
}

UpperCamelCase													=		{
    '''google/reformer-crime-and-punishment''': 52_4288,
}



class 						snake_case_ (	__A ):
   __A			:	int        =       VOCAB_FILES_NAMES
   __A			:	Dict        =       PRETRAINED_VOCAB_FILES_MAP
   __A			:	Tuple        =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __A			:	int        =       ["input_ids", "attention_mask"]
   __A			:	str        =       ReformerTokenizer






   def __init__(   self       :  str			,		lowercase_       :  Any=None			,		lowercase_       :  str=None			,		lowercase_       :  Tuple="</s>"			,		lowercase_       :  int="<unk>"			,		lowercase_       :  Optional[Any]=[]			,		**lowercase_       :  Optional[Any]			,		)      ->		Dict:
       super().__init__(
           lowercase_			,		tokenizer_file=lowercase_			,		eos_token=lowercase_			,		unk_token=lowercase_			,		additional_special_tokens=lowercase_			,		**lowercase_			,		)

       lowercase__				:     Tuple					      =       vocab_file
       lowercase__				:     Optional[Any]					      =       False if not self.vocab_file else True







   def    __UpperCamelCase  (   self       :  Optional[Any]			,		lowercase_       :  str			,		lowercase_       :  Optional[str] = None						)      ->		Tuple[str]:
       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(lowercase_						):
           logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''						)
           return
       lowercase__				:     Optional[int]					      =       os.path.join(
           lowercase_			,		(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]						)

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

       return (out_vocab_file,)




from typing import Callable

def     lowercase_       (    _lowerCamelCase							: Callable):

    def wrapper(_lowerCamelCase							: str):
        lowercase__				:     Tuple					      =       function_with_docstring.__doc__
        return target_function

    return wrapper



