"""simple docstring"""







import inspect
import warnings
from typing import Any, Dict, Optional, Union

from packaging import version
def   __UpperCAmelCase				(    *UpperCAmelCase_    :				Tuple			,							UpperCAmelCase_    :				Dict = None			,							UpperCAmelCase_    :				str=True			,							UpperCAmelCase_    :				Dict=2  )							->			str:

	'''simple docstring'''





	from .. import __version__

	__snake_case			:							Tuple      		= take_from
	__snake_case			:							List[str]      		= ()
	if not isinstance(args[0]			,							A__  ):
		__snake_case			:							int      		= (args,)

	for attribute, version_name, message in args:
		if version.parse(version.parse(A__  ).base_version  ) >= version.parse(A__  ):
			raise ValueError(
			    F"The deprecation tuple {(attribute, version_name, message)} should be removed since diffusers'"
			    F" version {__version__} is >= {version_name}"  )

		__snake_case			:							Union[str, Any]      		= None
		if isinstance(A__			,							A__  ) and attribute in deprecated_kwargs:
			values += (deprecated_kwargs.pop(A__  ),)
			__snake_case			:							List[str]      		= F"The `{attribute}` argument is deprecated and will be removed in version {version_name}."
		elif hasattr(A__			,							A__  ):
			values += (getattr(A__			,							A__  ),)
			__snake_case			:							Optional[int]      		= F"The `{attribute}` attribute is deprecated and will be removed in version {version_name}."
		elif deprecated_kwargs is None:
			__snake_case			:							Optional[int]      		= F"`{attribute}` is deprecated and will be removed in version {version_name}."

		if warning is not None:
			__snake_case			:							Any      		= warning + ' ' if standard_warn else ''
			warnings.warn(warning + message			,							A__			,							stacklevel=A__  )

	if isinstance(A__			,							A__  ) and len(A__  ) > 0:
		__snake_case			:							Any      		= inspect.getouterframes(inspect.currentframe()  )[1]
		__snake_case			:							Dict      		= call_frame.filename
		__snake_case			:							List[str]      		= call_frame.lineno
		__snake_case			:							str      		= call_frame.function
		__snake_case		,				__snake_case			:							int      		= next(iter(deprecated_kwargs.items()  )  )
		raise TypeError(F"{function} in {filename} line {line_number-1} got an unexpected keyword argument `{key}`"  )

	if len(A__  ) == 0:
		return
	elif len(A__  ) == 1:
		return values[0]
	return values








'''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


lowerCAmelCase__											=	logging.get_logger(__name__)

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

lowerCAmelCase__											=	{
    '''vocab_file''': {
        '''bert_for_seq_generation''': (
            '''https://huggingface.co/google/bert_for_seq_generation_L-24_bbc_encoder/resolve/main/spiece.model'''
        ),
    }
}

lowerCAmelCase__											=	{'''bert_for_seq_generation''': 512}






class 			lowercase_	(lowerCamelCase__      ):




  """simple docstring"""




  SCREAMING_SNAKE_CASE    :  List[Any]							=			VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE    :  Dict							=			PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE    :  Optional[int]							=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE    :  List[int]							=			[]
  SCREAMING_SNAKE_CASE    :  Any							=			['input_ids', 'attention_mask']






  def __init__(      self   :     Optional[Any]					,lowercase__   :     Tuple					,lowercase__   :     Tuple="<s>"					,lowercase__   :     Union[str, Any]="</s>"					,lowercase__   :     str="<unk>"					,lowercase__   :     Tuple="<pad>"					,lowercase__   :     Union[str, Any]="<::::>"					,lowercase__   :     Optional[Dict[str, Any]] = None					,**lowercase__   :     Any					,):
   __lowercase							  = {} if sp_model_kwargs is None else sp_model_kwargs

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

   __lowercase							  = vocab_file

   __lowercase							  = spm.SentencePieceProcessor(**self.sp_model_kwargs			)
   self.sp_model.Load(lowercase__			)






  @property
  def 					SCREAMING_SNAKE_CASE      (      self   :     Optional[int]			):
   return self.sp_model.get_piece_size()






  def 					SCREAMING_SNAKE_CASE      (      self   :     Union[str, Any]			):
   __lowercase							  = {self.convert_ids_to_tokens(lowercase__			): i for i in range(self.vocab_size			)}
   vocab.update(self.added_tokens_encoder			)
   return vocab






  def __getstate__(      self   :     str			):
   __lowercase							  = self.__dict__.copy()
   __lowercase							  = None
   return state






  def __setstate__(      self   :     Optional[int]					,lowercase__   :     Optional[Any]			):
   __lowercase							  = d

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

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






  def 					SCREAMING_SNAKE_CASE      (      self   :     str					,lowercase__   :     str			):
   return self.sp_model.encode(lowercase__					,out_type=lowercase__			)






  def 					SCREAMING_SNAKE_CASE      (      self   :     Tuple					,lowercase__   :     Union[str, Any]			):
   return self.sp_model.piece_to_id(lowercase__			)






  def 					SCREAMING_SNAKE_CASE      (      self   :     Any					,lowercase__   :     Tuple			):
   __lowercase							  = self.sp_model.IdToPiece(lowercase__			)
   return token






  def 					SCREAMING_SNAKE_CASE      (      self   :     Optional[int]					,lowercase__   :     int			):
   __lowercase							  = []
   __lowercase							  = ''''''
   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(lowercase__			) + token
     __lowercase							  = []
    else:
     current_sub_tokens.append(lowercase__			)
   out_string += self.sp_model.decode(lowercase__			)
   return out_string.strip()






  def 					SCREAMING_SNAKE_CASE      (      self   :     int					,lowercase__   :     str					,lowercase__   :     Optional[str] = None			):
   if not os.path.isdir(lowercase__			):
    logger.error(F"Vocabulary path ({save_directory}) should be a directory"			)
    return
   __lowercase							  = 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__			) and os.path.isfile(self.vocab_file			):
    copyfile(self.vocab_file					,lowercase__			)
   elif not os.path.isfile(self.vocab_file			):
    with open(lowercase__					,'''wb'''			) as fi:
     __lowercase							  = self.sp_model.serialized_model_proto()
     fi.write(lowercase__			)

   return (out_vocab_file,)

