


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

import sentencepiece as spm

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


A      = logging.get_logger(__name__)

A      = {"vocab_file": "sentencepiece.model"}

A      = {
    "vocab_file": {
        "google/rembert": "https://huggingface.co/google/rembert/resolve/main/sentencepiece.model",
    },
}

A      = {
    "google/rembert": 256,
}


class     lowercase__  (					__SCREAMING_SNAKE_CASE		):
  A__=  VOCAB_FILES_NAMES
  A__=  PRETRAINED_VOCAB_FILES_MAP
  A__=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES






  def __init__(					self      :					Optional[Any]		,						_lowercase      :					Union[str, Any]		,						_lowercase      :					List[str]=False		,						_lowercase      :					Tuple=True		,						_lowercase      :					Tuple=True		,						_lowercase      :					Optional[int]="[CLS]"		,						_lowercase      :					str="[SEP]"		,						_lowercase      :					List[Any]="[UNK]"		,						_lowercase      :					str="[SEP]"		,						_lowercase      :					List[Any]="[PAD]"		,						_lowercase      :					Dict="[CLS]"		,						_lowercase      :					str="[MASK]"		,						**_lowercase      :					Optional[int]		,						):




         """simple docstring"""







         super().__init__(
             do_lower_case=_lowercase		,						remove_space=_lowercase		,						keep_accents=_lowercase		,						bos_token=_lowercase		,						eos_token=_lowercase		,						unk_token=_lowercase		,						sep_token=_lowercase		,						pad_token=_lowercase		,						cls_token=_lowercase		,						mask_token=_lowercase		,						**_lowercase		,						)

         UpperCAmelCase__										=     do_lower_case
         UpperCAmelCase__										=     remove_space
         UpperCAmelCase__										=     keep_accents
         UpperCAmelCase__										=     vocab_file

         UpperCAmelCase__										=     spm.SentencePieceProcessor()
         self.sp_model.Load(_lowercase )






  @property
  def 			_UpperCAmelCase  (					self      :					Dict ):




         """simple docstring"""







         return len(self.sp_model )






  def 			_UpperCAmelCase  (					self      :					Optional[int] ):




         """simple docstring"""







         UpperCAmelCase__										=     {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      :					Any ):




         """simple docstring"""







         UpperCAmelCase__										=     self.__dict__.copy()
         UpperCAmelCase__										=     None
         return state






  def __setstate__(					self      :					Dict		,						_lowercase      :					str ):




         """simple docstring"""







         UpperCAmelCase__										=     d
         UpperCAmelCase__										=     spm.SentencePieceProcessor()
         self.sp_model.Load(self.vocab_file )






  def 			_UpperCAmelCase  (					self      :					Tuple		,						_lowercase      :					List[Any]		,						_lowercase      :					str=False ):




         """simple docstring"""







         UpperCAmelCase__										=     self.sp_model.EncodeAsPieces(_lowercase )
         return pieces






  def 			_UpperCAmelCase  (					self      :					List[Any]		,						_lowercase      :					Any ):




         """simple docstring"""







         return self.sp_model.PieceToId(_lowercase )






  def 			_UpperCAmelCase  (					self      :					List[str]		,						_lowercase      :					int ):




         """simple docstring"""







         return self.sp_model.IdToPiece(_lowercase )






  def 			_UpperCAmelCase  (					self      :					Union[str, Any]		,						_lowercase      :					Optional[int] ):




         """simple docstring"""







         UpperCAmelCase__										=     self.sp_model.decode_pieces(_lowercase )
         return out_string






  def 			_UpperCAmelCase  (					self      :					str		,						_lowercase      :					List[int]		,						_lowercase      :					Optional[List[int]] = None ):




         """simple docstring"""







         UpperCAmelCase__										=     [self.sep_token_id]
         UpperCAmelCase__										=     [self.cls_token_id]
         if token_ids_a is None:
                return cls + token_ids_a + sep
         return cls + token_ids_a + sep + token_ids_a + sep






  def 			_UpperCAmelCase  (					self      :					int		,						_lowercase      :					List[int]		,						_lowercase      :					Optional[List[int]] = None		,						_lowercase      :					bool = False ):




         """simple docstring"""







         if already_has_special_tokens:
                if token_ids_a is not None:
                       raise ValueError(
                           "You should not supply a second sequence if the provided sequence of "
                           "ids is already formatted with special tokens for the model." )
                return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

         if token_ids_a is not None:
                return [1] + ([0] * len(_lowercase )) + [1] + ([0] * len(_lowercase )) + [1]
         return [1] + ([0] * len(_lowercase )) + [1]






  def 			_UpperCAmelCase  (					self      :					str		,						_lowercase      :					List[int]		,						_lowercase      :					Optional[List[int]] = None ):




         """simple docstring"""







         UpperCAmelCase__										=     [self.sep_token_id]
         UpperCAmelCase__										=     [self.cls_token_id]

         if token_ids_a is None:
                return len(cls + token_ids_a + sep ) * [0]
         return len(cls + token_ids_a + sep ) * [0] + len(token_ids_a + sep ) * [1]






  def 			_UpperCAmelCase  (					self      :					List[Any]		,						_lowercase      :					str		,						_lowercase      :					Optional[str] = None ):




         """simple docstring"""







         if not os.path.isdir(_lowercase ):
                logger.error("Vocabulary path ({}) should be a directory".format(_lowercase ) )
                return
         UpperCAmelCase__										=     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,)









import warnings

from ...utils import logging
from .image_processing_dpt import DPTImageProcessor


A      = logging.get_logger(__name__)


class     lowercase__  (					__SCREAMING_SNAKE_CASE		):






  def __init__(					self      :					Union[str, Any]		,						*_lowercase      :					Any		,						**_lowercase      :					Optional[int] ):




         """simple docstring"""







         warnings.warn(
             "The class DPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
             " use DPTImageProcessor instead."		,						_lowercase		,						)
         super().__init__(*_lowercase		,						**_lowercase )





