



'''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	 =       """▁"""

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_4288,
}





class _UpperCamelCase		(     A		):





				'''simple docstring'''





				lowerCAmelCase__					    =    VOCAB_FILES_NAMES
				lowerCAmelCase__					    =    PRETRAINED_VOCAB_FILES_MAP
				lowerCAmelCase__					    =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				lowerCAmelCase__					    =    ["""input_ids""", """attention_mask"""]

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







											'''simple docstring'''

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

				@property
				def 				__lowerCamelCase     (							self  :  Tuple):







											'''simple docstring'''

											return self.sp_model.get_piece_size()

				def 				__lowerCamelCase     (							self  :  Tuple):







											'''simple docstring'''

											__lowercase       	={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  :  int):







											'''simple docstring'''

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

				def __setstate__(							self  :  Optional[Any]  ,       _lowerCAmelCase  :  Tuple):







											'''simple docstring'''

											__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 				__lowerCamelCase     (							self  :  List[Any]  ,       _lowerCAmelCase  :  str):







											'''simple docstring'''

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

				def 				__lowerCamelCase     (							self  :  Any  ,       _lowerCAmelCase  :  List[str]):







											'''simple docstring'''

											return self.sp_model.piece_to_id(_lowerCAmelCase)

				def 				__lowerCamelCase     (							self  :  str  ,       _lowerCAmelCase  :  Optional[int]):







											'''simple docstring'''

											if index < self.sp_model.get_piece_size():
																		__lowercase       	=self.sp_model.IdToPiece(_lowerCAmelCase)
											return token

				def 				__lowerCamelCase     (							self  :  List[str]  ,       _lowerCAmelCase  :  List[str]):







											'''simple docstring'''

											__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(_lowerCAmelCase) + token
																									__lowercase       	=[]
																		else:
																									current_sub_tokens.append(_lowerCAmelCase)
											out_string += self.sp_model.decode(_lowerCAmelCase)
											return out_string.strip()

				def 				__lowerCamelCase     (							self  :  Tuple  ,       _lowerCAmelCase  :  str  ,       _lowerCAmelCase  :  Optional[str] = None):







											'''simple docstring'''

											if not os.path.isdir(_lowerCAmelCase):
																		logger.error(f"""Vocabulary path ({save_directory}) should be a directory""")
																		return
											__lowercase       	=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       	=self.sp_model.serialized_model_proto()
																									fi.write(_lowerCAmelCase)

											return (out_vocab_file,)








'''simple docstring'''



import warnings

from ...utils import logging
from .image_processing_deit import DeiTImageProcessor


lowerCamelCase	 =       logging.get_logger(__name__)





class _UpperCamelCase		(     A		):





				'''simple docstring'''





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







											'''simple docstring'''

											warnings.warn(
											    'The class DeiTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
											    ' use DeiTImageProcessor instead.'  ,       _lowerCAmelCase  ,       )
											super().__init__(*_lowerCAmelCase  ,       **_lowerCAmelCase)



