





'''simple docstring'''






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


A__							:  Optional[int]    =logging.get_logger(__name__)


A__							:  Optional[int]    ='''▁'''

A__							:  Any    ={'''vocab_file''': '''spiece.model'''}

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

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




class 					UpperCAmelCase	(     snake_case_  ):
      _lowercase:     Optional[Any]			=  VOCAB_FILES_NAMES
      _lowercase:     List[Any]			=  PRETRAINED_VOCAB_FILES_MAP
      _lowercase:     Tuple			=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      _lowercase:     Union[str, Any]			=  ['''input_ids''', '''attention_mask''']




      def __init__(     self     :					Any     ,     __snake_case     :					int     ,     __snake_case     :					Any="</s>"     ,     __snake_case     :					Any="<unk>"     ,     __snake_case     :					Tuple=[]     ,     __snake_case     :					Optional[Dict[str, Any]] = None     ,     **__snake_case     :					int     ,     )							-> None:
            _lowerCAmelCase					=				{} if sp_model_kwargs is None else sp_model_kwargs

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

            _lowerCAmelCase					=				vocab_file
            _lowerCAmelCase					=				spm.SentencePieceProcessor(**self.sp_model_kwargs    )
            self.sp_model.Load(__snake_case    )




      @property
      def 							lowercase__       (     self     :					Dict    )							-> str:
            return self.sp_model.get_piece_size()




      def 							lowercase__       (     self     :					Any    )							-> Dict[str, int]:
            _lowerCAmelCase					=				{self.convert_ids_to_tokens(__snake_case    ): i for i in range(self.vocab_size    )}
            vocab.update(self.added_tokens_encoder    )
            return vocab




      def __getstate__(     self     :					Union[str, Any]    )							-> Optional[int]:
            _lowerCAmelCase					=				self.__dict__.copy()
            _lowerCAmelCase					=				None
            return state




      def __setstate__(     self     :					Union[str, Any]     ,     __snake_case     :					Optional[Any]    )							-> str:
            _lowerCAmelCase					=				d

            # for backward compatibility
            if not hasattr(self     ,     """sp_model_kwargs"""    ):
                  _lowerCAmelCase					=				{}

            _lowerCAmelCase					=				spm.SentencePieceProcessor(**self.sp_model_kwargs    )
            self.sp_model.Load(self.vocab_file    )




      def 							lowercase__       (     self     :					Optional[Any]     ,     __snake_case     :					str    )							-> List[str]:
            return self.sp_model.encode(__snake_case     ,     out_type=__snake_case    )




      def 							lowercase__       (     self     :					Union[str, Any]     ,     __snake_case     :					str    )							-> List[Any]:
            return self.sp_model.piece_to_id(__snake_case    )




      def 							lowercase__       (     self     :					Union[str, Any]     ,     __snake_case     :					str    )							-> Optional[Any]:
            if index < self.sp_model.get_piece_size():
                  _lowerCAmelCase					=				self.sp_model.IdToPiece(__snake_case    )
            return token




      def 							lowercase__       (     self     :					Dict     ,     __snake_case     :					str    )							-> Optional[int]:
            _lowerCAmelCase					=				[]
            _lowerCAmelCase					=				""""""
            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(__snake_case    ) + token
                        _lowerCAmelCase					=				[]
                  else:
                        current_sub_tokens.append(__snake_case    )
            out_string += self.sp_model.decode(__snake_case    )
            return out_string.strip()




      def 							lowercase__       (     self     :					Tuple     ,     __snake_case     :					str     ,     __snake_case     :					Optional[str] = None    )							-> Tuple[str]:
            if not os.path.isdir(__snake_case    ):
                  logger.error(f"Vocabulary path ({save_directory}) should be a directory"    )
                  return
            _lowerCAmelCase					=				os.path.join(
                __snake_case     ,     (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]    )

            if os.path.abspath(self.vocab_file    ) != os.path.abspath(__snake_case    ) and os.path.isfile(self.vocab_file    ):
                  copyfile(self.vocab_file     ,     __snake_case    )
            elif not os.path.isfile(self.vocab_file    ):
                  with open(__snake_case     ,     """wb"""    ) as fi:
                        _lowerCAmelCase					=				self.sp_model.serialized_model_proto()
                        fi.write(__snake_case    )

            return (out_vocab_file,)













'''simple docstring'''






class 					UpperCAmelCase	:




      def __init__(     self     :					List[str]     ,     __snake_case     :					str    )							-> Union[str, Any]:
            _lowerCAmelCase					=				val
            _lowerCAmelCase					=				None
            _lowerCAmelCase					=				None




      def 							lowercase__       (     self     :					Optional[Any]     ,     __snake_case     :					int    )							-> Optional[int]:
            if self.val:
                  if val < self.val:
                        if self.left is None:
                              _lowerCAmelCase					=				Node(__snake_case    )
                        else:
                              self.left.insert(__snake_case    )
                  elif val > self.val:
                        if self.right is None:
                              _lowerCAmelCase					=				Node(__snake_case    )
                        else:
                              self.right.insert(__snake_case    )
            else:
                  _lowerCAmelCase					=				val




def   UpperCamelCase__ (						lowerCAmelCase				,      lowerCAmelCase    ):





      """simple docstring"""


      if root:
            inorder(root.left				,      lowerCAmelCase    )
            res.append(root.val    )
            inorder(root.right				,      lowerCAmelCase    )
def   UpperCamelCase__ (						lowerCAmelCase    ):





      """simple docstring"""


      if len(lowerCAmelCase    ) == 0:
            return arr
      _lowerCAmelCase					=				Node(arr[0]    )
      for i in range(1				,      len(lowerCAmelCase    )    ):
            root.insert(arr[i]    )
      # Traverse BST in order.
      _lowerCAmelCase					=				[]
      inorder(lowerCAmelCase				,      lowerCAmelCase    )
      return res


if __name__ == "__main__":
      print(tree_sort([10, 1, 3, 2, 9, 14, 13]))






