





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


SCREAMING_SNAKE_CASE__							:      List[Any]         =    logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__							:      Any         =    {"""vocab_file""": """sentencepiece.model"""}

SCREAMING_SNAKE_CASE__							:      List[Any]         =    {
    """vocab_file""": {
        """google/rembert""": """https://huggingface.co/google/rembert/resolve/main/sentencepiece.model""",
    },
}

SCREAMING_SNAKE_CASE__							:      Tuple         =    {
    """google/rembert""": 2_5_6,
}







class 	__lowerCAmelCase      (       _UpperCamelCase	):
   _UpperCamelCase			:    Dict  		=					VOCAB_FILES_NAMES
   _UpperCamelCase			:    Union[str, Any]  		=					PRETRAINED_VOCAB_FILES_MAP
   _UpperCamelCase			:    Dict  		=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES





   def __init__(			self       ,      snake_case       ,      snake_case=False       ,      snake_case=True       ,      snake_case=True       ,      snake_case="[CLS]"       ,      snake_case="[SEP]"       ,      snake_case="[UNK]"       ,      snake_case="[SEP]"       ,      snake_case="[PAD]"       ,      snake_case="[CLS]"       ,      snake_case="[MASK]"       ,      **snake_case       ,      )					->	List[Any]:
      """simple docstring"""





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

      a__						:    str   		=	do_lower_case
      a__						:    Union[str, Any]   		=	remove_space
      a__						:    List[str]   		=	keep_accents
      a__						:    Optional[Any]   		=	vocab_file

      a__						:    Optional[Any]   		=	spm.SentencePieceProcessor()
      self.sp_model.Load(snake_case   )





   @property
   def 						_snake_case			(			self   )					->	Optional[int]:
      """simple docstring"""





      return len(self.sp_model   )





   def 						_snake_case			(			self   )					->	Tuple:
      """simple docstring"""





      a__						:    Any   		=	{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   )					->	Tuple:
      """simple docstring"""





      a__						:    int   		=	self.__dict__.copy()
      a__						:    List[str]   		=	None
      return state





   def __setstate__(			self       ,      snake_case   )					->	List[str]:
      """simple docstring"""





      a__						:    int   		=	d
      a__						:    Dict   		=	spm.SentencePieceProcessor()
      self.sp_model.Load(self.vocab_file   )





   def 						_snake_case			(			self       ,      snake_case       ,      snake_case=False   )					->	Optional[int]:
      """simple docstring"""





      a__						:    int   		=	self.sp_model.EncodeAsPieces(snake_case   )
      return pieces





   def 						_snake_case			(			self       ,      snake_case   )					->	List[str]:
      """simple docstring"""





      return self.sp_model.PieceToId(snake_case   )





   def 						_snake_case			(			self       ,      snake_case   )					->	Dict:
      """simple docstring"""





      return self.sp_model.IdToPiece(snake_case   )





   def 						_snake_case			(			self       ,      snake_case   )					->	Tuple:
      """simple docstring"""





      a__						:    Any   		=	self.sp_model.decode_pieces(snake_case   )
      return out_string





   def 						_snake_case			(			self       ,      snake_case       ,      snake_case = None   )					->	List[int]:
      """simple docstring"""





      a__						:    Optional[Any]   		=	[self.sep_token_id]
      a__						:    Union[str, Any]   		=	[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 						_snake_case			(			self       ,      snake_case       ,      snake_case = None       ,      snake_case = False   )					->	List[int]:
      """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(snake_case   )) + [1] + ([0] * len(snake_case   )) + [1]
      return [1] + ([0] * len(snake_case   )) + [1]





   def 						_snake_case			(			self       ,      snake_case       ,      snake_case = None   )					->	List[int]:
      """simple docstring"""





      a__						:    List[str]   		=	[self.sep_token_id]
      a__						:    List[Any]   		=	[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 						_snake_case			(			self       ,      snake_case       ,      snake_case = None   )					->	Tuple[str]:
      """simple docstring"""





      if not os.path.isdir(snake_case   ):
         logger.error("Vocabulary path ({}) should be a directory".format(snake_case   )   )
         return
      a__						:    str   		=	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   ):
         copyfile(self.vocab_file       ,      snake_case   )

      return (out_vocab_file,)








def    _A	(   lowerCamelCase = 200 ):
   a__						:    List[str]   		=	[1, 2, 5, 10, 20, 50, 100, 200]
   a__						:    Dict   		=	[0] * (pence + 1)
   a__						:    int   		=	1  # base case: 1 way to make 0 pence

   for coin in coins:
      for i in range(lowerCamelCase				,			pence + 1				,			1 ):
         number_of_ways[i] += number_of_ways[i - coin]
   return number_of_ways[pence]


if __name__ == "__main__":
  assert solution(2_0_0) == 7_3_6_8_2

