

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


lowerCAmelCase							:  Union[str, Any]            =						logging.get_logger(__name__)

lowerCAmelCase							:  Tuple            =						{"""vocab_file""": """sentencepiece.model"""}

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

lowerCAmelCase							:  Tuple            =						{
    """google/rembert""": 256,
}



class   __lowercase    (			UpperCAmelCase_     ):




			"""simple docstring"""







			_UpperCAmelCase       :							int      							=					VOCAB_FILES_NAMES
			_UpperCAmelCase       :							int      							=					PRETRAINED_VOCAB_FILES_MAP
			_UpperCAmelCase       :							List[Any]      							=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES



			def __init__(			self  :					Union[str, Any]       ,						lowerCAmelCase__  :					Dict       ,						lowerCAmelCase__  :					List[Any]=False       ,						lowerCAmelCase__  :					Union[str, Any]=True       ,						lowerCAmelCase__  :					Tuple=True       ,						lowerCAmelCase__  :					List[Any]="[CLS]"       ,						lowerCAmelCase__  :					Tuple="[SEP]"       ,						lowerCAmelCase__  :					Optional[Any]="[UNK]"       ,						lowerCAmelCase__  :					Optional[Any]="[SEP]"       ,						lowerCAmelCase__  :					Dict="[PAD]"       ,						lowerCAmelCase__  :					Tuple="[CLS]"       ,						lowerCAmelCase__  :					Tuple="[MASK]"       ,						**lowerCAmelCase__  :					Optional[int]       ,						):
									super().__init__(
									    do_lower_case=lowerCAmelCase__       ,						remove_space=lowerCAmelCase__       ,						keep_accents=lowerCAmelCase__       ,						bos_token=lowerCAmelCase__       ,						eos_token=lowerCAmelCase__       ,						unk_token=lowerCAmelCase__       ,						sep_token=lowerCAmelCase__       ,						pad_token=lowerCAmelCase__       ,						cls_token=lowerCAmelCase__       ,						mask_token=lowerCAmelCase__       ,						**lowerCAmelCase__       ,						)

									SCREAMING_SNAKE_CASE_:			List[str]  		=	do_lower_case
									SCREAMING_SNAKE_CASE_:			Optional[int]  		=	remove_space
									SCREAMING_SNAKE_CASE_:			int  		=	keep_accents
									SCREAMING_SNAKE_CASE_:			Tuple  		=	vocab_file

									SCREAMING_SNAKE_CASE_:			Dict  		=	spm.SentencePieceProcessor()
									self.sp_model.Load(lowerCAmelCase__)



			@property
			def 	_SCREAMING_SNAKE_CASE      (			self  :					Dict):
									return len(self.sp_model)



			def 	_SCREAMING_SNAKE_CASE      (			self  :					Optional[int]):
									SCREAMING_SNAKE_CASE_:			Tuple  		=	{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  :					Optional[Any]):
									SCREAMING_SNAKE_CASE_:			Any  		=	self.__dict__.copy()
									SCREAMING_SNAKE_CASE_:			Any  		=	None
									return state



			def __setstate__(			self  :					List[Any]       ,						lowerCAmelCase__  :					List[str]):
									SCREAMING_SNAKE_CASE_:			List[Any]  		=	d
									SCREAMING_SNAKE_CASE_:			str  		=	spm.SentencePieceProcessor()
									self.sp_model.Load(self.vocab_file)



			def 	_SCREAMING_SNAKE_CASE      (			self  :					List[str]       ,						lowerCAmelCase__  :					str       ,						lowerCAmelCase__  :					Optional[int]=False):
									SCREAMING_SNAKE_CASE_:			Optional[int]  		=	self.sp_model.EncodeAsPieces(lowerCAmelCase__)
									return pieces



			def 	_SCREAMING_SNAKE_CASE      (			self  :					Optional[int]       ,						lowerCAmelCase__  :					Optional[int]):
									return self.sp_model.PieceToId(lowerCAmelCase__)



			def 	_SCREAMING_SNAKE_CASE      (			self  :					Optional[Any]       ,						lowerCAmelCase__  :					Tuple):
									return self.sp_model.IdToPiece(lowerCAmelCase__)



			def 	_SCREAMING_SNAKE_CASE      (			self  :					Tuple       ,						lowerCAmelCase__  :					Dict):
									SCREAMING_SNAKE_CASE_:			Union[str, Any]  		=	self.sp_model.decode_pieces(lowerCAmelCase__)
									return out_string



			def 	_SCREAMING_SNAKE_CASE      (			self  :					Optional[int]       ,						lowerCAmelCase__  :					List[int]       ,						lowerCAmelCase__  :					Optional[List[int]] = None):
									SCREAMING_SNAKE_CASE_:			Optional[int]  		=	[self.sep_token_id]
									SCREAMING_SNAKE_CASE_:			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 	_SCREAMING_SNAKE_CASE      (			self  :					Any       ,						lowerCAmelCase__  :					List[int]       ,						lowerCAmelCase__  :					Optional[List[int]] = None       ,						lowerCAmelCase__  :					bool = False):

									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(lowerCAmelCase__)) + [1] + ([0] * len(lowerCAmelCase__)) + [1]
									return [1] + ([0] * len(lowerCAmelCase__)) + [1]



			def 	_SCREAMING_SNAKE_CASE      (			self  :					str       ,						lowerCAmelCase__  :					List[int]       ,						lowerCAmelCase__  :					Optional[List[int]] = None):
									SCREAMING_SNAKE_CASE_:			Union[str, Any]  		=	[self.sep_token_id]
									SCREAMING_SNAKE_CASE_:			Optional[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 	_SCREAMING_SNAKE_CASE      (			self  :					Tuple       ,						lowerCAmelCase__  :					str       ,						lowerCAmelCase__  :					Optional[str] = None):
									if not os.path.isdir(lowerCAmelCase__):
															logger.error("Vocabulary path ({}) should be a directory".format(lowerCAmelCase__))
															return
									SCREAMING_SNAKE_CASE_:			Tuple  		=	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__):
															copyfile(self.vocab_file       ,						lowerCAmelCase__)

									return (out_vocab_file,)









def       A_				(   _UpperCAmelCase = 10**9   ):
						SCREAMING_SNAKE_CASE_:			List[str]  		=	1
						SCREAMING_SNAKE_CASE_:			Optional[int]  		=	2

						SCREAMING_SNAKE_CASE_:			int  		=	0
						SCREAMING_SNAKE_CASE_:			Dict  		=	0
						SCREAMING_SNAKE_CASE_:			List[str]  		=	0
						while perimeter <= max_perimeter:
												perimeters_sum += perimeter

												prev_value += 2 * value
												value += prev_value

												SCREAMING_SNAKE_CASE_:			Any  		=	2 * value + 2 if i % 2 == 0 else 2 * value - 2
												i += 1

						return perimeters_sum


if __name__ == "__main__":
						print(f'''{solution() = }''')






