



'''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


UpperCAmelCase__						:int          =			logging.get_logger(__name__)

UpperCAmelCase__						:Dict          =			{"""vocab_file""": """spiece.model"""}

UpperCAmelCase__						:List[str]          =			{
    """vocab_file""": {
        """bert_for_seq_generation""": (
            """https://huggingface.co/google/bert_for_seq_generation_L-24_bbc_encoder/resolve/main/spiece.model"""
        ),
    }
}

UpperCAmelCase__						:Tuple          =			{"""bert_for_seq_generation""": 512}







class 	SCREAMING_SNAKE_CASE	(      lowerCAmelCase_  ):
       snake_case__    :     Union[str, Any]   		=			VOCAB_FILES_NAMES
       snake_case__    :     str   		=			PRETRAINED_VOCAB_FILES_MAP
       snake_case__    :     Dict   		=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       snake_case__    :     List[int]   		=			[]
       snake_case__    :     List[Any]   		=			['input_ids', 'attention_mask']




       def __init__(					self      : List[Any]	,    A__      : List[Any]	,    A__      : List[Any]="<s>"	,    A__      : Optional[int]="</s>"	,    A__      : Any="<unk>"	,    A__      : str="<pad>"	,    A__      : Any="<::::>"	,    A__      : Optional[Dict[str, Any]] = None	,    **A__      : Any	,    ):


            """simple docstring"""







            __lowerCamelCase						:       str				   =				{} if sp_model_kwargs is None else sp_model_kwargs

            # Add extra_ids to the special token list
            super().__init__(
                bos_token=A__	,    eos_token=A__	,    unk_token=A__	,    pad_token=A__	,    sep_token=A__	,    sp_model_kwargs=self.sp_model_kwargs	,    **A__	,    )

            __lowerCamelCase						:       Optional[Any]				   =				vocab_file

            __lowerCamelCase						:       Dict				   =				spm.SentencePieceProcessor(**self.sp_model_kwargs					)
            self.sp_model.Load(A__					)




       @property
       def 					a_					(					self      : int					):


            """simple docstring"""







            return self.sp_model.get_piece_size()




       def 					a_					(					self      : Optional[int]					):


            """simple docstring"""







            __lowerCamelCase						:       Any				   =				{self.convert_ids_to_tokens(A__					): i for i in range(self.vocab_size					)}
            vocab.update(self.added_tokens_encoder					)
            return vocab




       def __getstate__(					self      : Union[str, Any]					):


            """simple docstring"""







            __lowerCamelCase						:       List[Any]				   =				self.__dict__.copy()
            __lowerCamelCase						:       int				   =				None
            return state




       def __setstate__(					self      : List[Any]	,    A__      : Union[str, Any]					):


            """simple docstring"""







            __lowerCamelCase						:       Optional[int]				   =				d

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

            __lowerCamelCase						:       str				   =				spm.SentencePieceProcessor(**self.sp_model_kwargs					)
            self.sp_model.Load(self.vocab_file					)




       def 					a_					(					self      : str	,    A__      : str					):


            """simple docstring"""







            return self.sp_model.encode(A__	,    out_type=A__					)




       def 					a_					(					self      : List[str]	,    A__      : str					):


            """simple docstring"""







            return self.sp_model.piece_to_id(A__					)




       def 					a_					(					self      : Any	,    A__      : Optional[Any]					):


            """simple docstring"""







            __lowerCamelCase						:       List[str]				   =				self.sp_model.IdToPiece(A__					)
            return token




       def 					a_					(					self      : Union[str, Any]	,    A__      : Optional[int]					):


            """simple docstring"""







            __lowerCamelCase						:       Tuple				   =				[]
            __lowerCamelCase						:       Dict				   =				""""""
            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(A__					) + token
                      __lowerCamelCase						:       Optional[int]				   =				[]
                 else:
                      current_sub_tokens.append(A__					)
            out_string += self.sp_model.decode(A__					)
            return out_string.strip()




       def 					a_					(					self      : int	,    A__      : str	,    A__      : Optional[str] = None					):


            """simple docstring"""







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

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

            return (out_vocab_file,)











'''simple docstring'''

from __future__ import annotations

from random import random







class 	SCREAMING_SNAKE_CASE	:




       def __init__(					self      : Tuple	,    A__      : int | None = None					):


            """simple docstring"""







            __lowerCamelCase						:       int				   =				value
            __lowerCamelCase						:       Dict				   =				random()
            __lowerCamelCase						:       Node | None				   =				None
            __lowerCamelCase						:       Node | None				   =				None




       def __repr__(					self      : Any					):


            """simple docstring"""







            from pprint import pformat

            if self.left is None and self.right is None:
                 return f"'{self.value}: {self.prior:.5}'"
            else:
                 return pformat(
                     {f"{self.value}: {self.prior:.5}": (self.left, self.right)}	,    indent=1					)




       def __str__(					self      : List[Any]					):


            """simple docstring"""







            __lowerCamelCase						:       List[str]				   =				str(self.value					) + """ """
            __lowerCamelCase						:       Any				   =				str(self.left or """"""					)
            __lowerCamelCase						:       List[str]				   =				str(self.right or """"""					)
            return value + left + right

def     __lowercase  (_lowercase,						_lowercase     )   ->     tuple[Node | None, Node | None]:


     """simple docstring"""
     if root is None:  # None tree is split into 2 Nones
          return None, None
     elif root.value is None:
          return None, None
     else:
          if value < root.value:
               __lowerCamelCase   ,      __lowerCamelCase						:       int				   =				split(root.left,						_lowercase     )
               return left, root
          else:
               __lowerCamelCase   ,      __lowerCamelCase						:       Union[str, Any]				   =				split(root.right,						_lowercase     )
               return root, right
def     __lowercase  (_lowercase,						_lowercase     )   ->     Node | None:


     """simple docstring"""
     if (not left) or (not right):  # If one node is None, return the other
          return left or right
     elif left.prior < right.prior:
          __lowerCamelCase						:       Tuple				   =				merge(left.right,						_lowercase     )
          return left
     else:
          __lowerCamelCase						:       int				   =				merge(_lowercase,						right.left     )
          return right
def     __lowercase  (_lowercase,						_lowercase     )   ->     Node | None:


     """simple docstring"""
     __lowerCamelCase						:       List[str]				   =				Node(_lowercase     )
     __lowerCamelCase   ,      __lowerCamelCase						:       List[Any]				   =				split(_lowercase,						_lowercase     )
     return merge(merge(_lowercase,						_lowercase     ),						_lowercase     )
def     __lowercase  (_lowercase,						_lowercase     )   ->     Node | None:


     """simple docstring"""
     __lowerCamelCase   ,      __lowerCamelCase						:       int				   =				split(_lowercase,						value - 1     )
     __lowerCamelCase   ,      __lowerCamelCase						:       List[str]				   =				split(_lowercase,						_lowercase     )
     return merge(_lowercase,						_lowercase     )
def     __lowercase  (_lowercase     )   ->     None:


     """simple docstring"""
     if not root:  # None
          return
     else:
          inorder(root.left     )
          print(root.value,						end=""","""     )
          inorder(root.right     )
def     __lowercase  (_lowercase,						_lowercase     )   ->     Node | None:


     """simple docstring"""
     for arg in args.split():
          if arg[0] == "+":
               __lowerCamelCase						:       Dict				   =				insert(_lowercase,						int(arg[1:]     )     )

          elif arg[0] == "-":
               __lowerCamelCase						:       List[str]				   =				erase(_lowercase,						int(arg[1:]     )     )

          else:
               print("""Unknown command"""     )

     return root
def     __lowercase  ()   ->     None:


     """simple docstring"""
     __lowerCamelCase						:       str				   =				None
     print(
         """enter numbers to create a tree, + value to add value into treap, """
         """- value to erase all nodes with value. 'q' to quit. """     )

     __lowerCamelCase						:       int				   =				input()
     while args != "q":
          __lowerCamelCase						:       List[Any]				   =				interact_treap(_lowercase,						_lowercase     )
          print(_lowercase     )
          __lowerCamelCase						:       List[Any]				   =				input()

     print("""good by!"""     )


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   main()



