


import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

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


__lowerCAmelCase			=							logging.get_logger(__name__)


__lowerCAmelCase			=							'''▁'''

__lowerCAmelCase			=							{'''vocab_file''': '''spiece.model'''}

__lowerCAmelCase			=							{
    '''vocab_file''': {
        '''google/reformer-crime-and-punishment''': (
            '''https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model'''
        )
    }
}

__lowerCAmelCase			=							{
    '''google/reformer-crime-and-punishment''': 52_42_88,
}





class   __a      (   __UpperCamelCase				):
 __lowercase			:							List[str]       					=			VOCAB_FILES_NAMES
 __lowercase			:							Tuple       					=			PRETRAINED_VOCAB_FILES_MAP
 __lowercase			:							Tuple       					=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __lowercase			:							Optional[Any]       					=			['input_ids', 'attention_mask']
 def __init__(       self    ,			lowerCAmelCase__    ,			lowerCAmelCase__="</s>"    ,			lowerCAmelCase__="<unk>"    ,			lowerCAmelCase__=[]    ,			lowerCAmelCase__ = None    ,			**lowerCAmelCase__    ,			) ->    List[Any]:




        '''simple docstring'''
        lowercase__:       Dict        =       {} if sp_model_kwargs is None else sp_model_kwargs

        super().__init__(
            eos_token=_lowerCAmelCase    ,			unk_token=_lowerCAmelCase    ,			additional_special_tokens=_lowerCAmelCase    ,			sp_model_kwargs=self.sp_model_kwargs    ,			**_lowerCAmelCase    ,			)

        lowercase__:       Optional[int]        =       vocab_file
        lowercase__:       Dict        =       spm.SentencePieceProcessor(**self.sp_model_kwargs			)
        self.sp_model.Load(_lowerCAmelCase			)
 @property
 def 		SCREAMING_SNAKE_CASE__       (       self			) ->    Union[str, Any]:




        '''simple docstring'''
        return self.sp_model.get_piece_size()
 def 		SCREAMING_SNAKE_CASE__       (       self			) ->    Any:




        '''simple docstring'''
        lowercase__:       str        =       {self.convert_ids_to_tokens(_lowerCAmelCase			): i for i in range(self.vocab_size			)}
        vocab.update(self.added_tokens_encoder			)
        return vocab
 def __getstate__(       self			) ->    List[Any]:




        '''simple docstring'''
        lowercase__:       int        =       self.__dict__.copy()
        lowercase__:       Union[str, Any]        =       None
        return state
 def __setstate__(       self    ,			lowerCAmelCase__			) ->    List[str]:




        '''simple docstring'''
        lowercase__:       Any        =       d

        # for backward compatibility
        if not hasattr(self    ,			'sp_model_kwargs'			):
               lowercase__:       Tuple        =       {}

        lowercase__:       Optional[Any]        =       spm.SentencePieceProcessor(**self.sp_model_kwargs			)
        self.sp_model.Load(self.vocab_file			)
 def 		SCREAMING_SNAKE_CASE__       (       self    ,			lowerCAmelCase__			) ->    Dict:




        '''simple docstring'''
        return self.sp_model.encode(_lowerCAmelCase    ,			out_type=_lowerCAmelCase			)
 def 		SCREAMING_SNAKE_CASE__       (       self    ,			lowerCAmelCase__			) ->    List[Any]:




        '''simple docstring'''
        return self.sp_model.piece_to_id(_lowerCAmelCase			)
 def 		SCREAMING_SNAKE_CASE__       (       self    ,			lowerCAmelCase__			) ->    int:




        '''simple docstring'''

        if index < self.sp_model.get_piece_size():
               lowercase__:       Dict        =       self.sp_model.IdToPiece(_lowerCAmelCase			)
        return token
 def 		SCREAMING_SNAKE_CASE__       (       self    ,			lowerCAmelCase__			) ->    List[Any]:




        '''simple docstring'''
        lowercase__:       Optional[int]        =       []
        lowercase__:       List[str]        =       ''
        for token in tokens:
               # make sure that special tokens are not decoded using sentencepiece model
               if token in self.all_special_tokens:
                      out_string += self.sp_model.decode(_lowerCAmelCase			) + token
                      lowercase__:       List[Any]        =       []
               else:
                      current_sub_tokens.append(_lowerCAmelCase			)
        out_string += self.sp_model.decode(_lowerCAmelCase			)
        return out_string.strip()
 def 		SCREAMING_SNAKE_CASE__       (       self    ,			lowerCAmelCase__    ,			lowerCAmelCase__ = None			) ->    Any:




        '''simple docstring'''

        if not os.path.isdir(_lowerCAmelCase			):
               logger.error(F'Vocabulary path ({save_directory}) should be a directory'			)
               return
        lowercase__:       Any        =       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			) and os.path.isfile(self.vocab_file			):
               copyfile(self.vocab_file    ,			_lowerCAmelCase			)
        elif not os.path.isfile(self.vocab_file			):
               with open(_lowerCAmelCase    ,			'wb'			) as fi:
                      lowercase__:       Optional[Any]        =       self.sp_model.serialized_model_proto()
                      fi.write(_lowerCAmelCase			)

        return (out_vocab_file,)






from __future__ import annotations




def        snake_case_					(  snake_case      ,							snake_case					)  ->    list[int]:
       lowercase__:       Tuple        =       0
       lowercase__:       str        =       len(snake_case					) - 1

       while i < j:
              if nums[i] + nums[j] == target:
                     return [i, j]
              elif nums[i] + nums[j] < target:
                     lowercase__:       str        =       i + 1
              else:
                     lowercase__:       Dict        =       j - 1

       return []


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 print(F'''{two_pointer([2, 7, 11, 15], 9) = }''')


