


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

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


lowerCAmelCase       =							logging.get_logger(__name__)

lowerCAmelCase       =							{'vocab_file': 'sentencepiece.bpe.model'}

lowerCAmelCase       =							{
    'vocab_file': {
        'camembert-base': 'https://huggingface.co/camembert-base/resolve/main/sentencepiece.bpe.model',
    }
}

lowerCAmelCase       =							{
    'camembert-base': 512,
}

lowerCAmelCase       =							'▁'


class        _a							(			UpperCamelCase__			):
							_lowercase	:			List[Any]        = VOCAB_FILES_NAMES
							_lowercase	:			List[Any]        = PRETRAINED_VOCAB_FILES_MAP
							_lowercase	:			Union[str, Any]        = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							_lowercase	:			Optional[Any]        = ['''input_ids''', '''attention_mask''']

							def __init__(							self:	List[str]    ,						UpperCamelCase_:	Tuple    ,						UpperCamelCase_:	str="<s>"    ,						UpperCamelCase_:	str="</s>"    ,						UpperCamelCase_:	Any="</s>"    ,						UpperCamelCase_:	Dict="<s>"    ,						UpperCamelCase_:	Dict="<unk>"    ,						UpperCamelCase_:	Union[str, Any]="<pad>"    ,						UpperCamelCase_:	int="<mask>"    ,						UpperCamelCase_:	Optional[Any]=["<s>NOTUSED", "</s>NOTUSED"]    ,						UpperCamelCase_:	Optional[Dict[str, Any]] = None    ,						**UpperCamelCase_:	List[Any]    ,						)			->   None:





									"""simple docstring"""







									lowercase__            =      AddedToken(UpperCamelCase_    ,						lstrip=UpperCamelCase_    ,						rstrip=UpperCamelCase_							) if isinstance(UpperCamelCase_    ,						UpperCamelCase_							) else mask_token

									lowercase__            =      {} if sp_model_kwargs is None else sp_model_kwargs

									super().__init__(
									    bos_token=UpperCamelCase_    ,						eos_token=UpperCamelCase_    ,						unk_token=UpperCamelCase_    ,						sep_token=UpperCamelCase_    ,						cls_token=UpperCamelCase_    ,						pad_token=UpperCamelCase_    ,						mask_token=UpperCamelCase_    ,						additional_special_tokens=UpperCamelCase_    ,						sp_model_kwargs=self.sp_model_kwargs    ,						**UpperCamelCase_    ,						)
									lowercase__            =      spm.SentencePieceProcessor(**self.sp_model_kwargs							)
									self.sp_model.Load(str(UpperCamelCase_							)							)
									lowercase__            =      vocab_file
									# HACK: These tokens were added by fairseq but don't seem to be actually used when duplicated in the actual
									# sentencepiece vocabulary (this is the case for <s> and </s>
									lowercase__            =      {'''<s>NOTUSED''': 0, '''<pad>''': 1, '''</s>NOTUSED''': 2, '''<unk>''': 3}
									lowercase__            =      len(self.fairseq_tokens_to_ids							)
									lowercase__            =      len(self.sp_model							) + len(self.fairseq_tokens_to_ids							)
									lowercase__            =      {v: k for k, v in self.fairseq_tokens_to_ids.items()}

							def       lowerCamelCase_ (							self:	int    ,						UpperCamelCase_:	List[int]    ,						UpperCamelCase_:	Optional[List[int]] = None							)			->   List[int]:





									"""simple docstring"""







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

							def       lowerCamelCase_ (							self:	List[str]    ,						UpperCamelCase_:	List[int]    ,						UpperCamelCase_:	Optional[List[int]] = None    ,						UpperCamelCase_:	bool = False							)			->   List[int]:





									"""simple docstring"""







									if already_has_special_tokens:
											return super().get_special_tokens_mask(
											    token_ids_a=UpperCamelCase_    ,						token_ids_a=UpperCamelCase_    ,						already_has_special_tokens=UpperCamelCase_							)

									if token_ids_a is None:
											return [1] + ([0] * len(UpperCamelCase_							)) + [1]
									return [1] + ([0] * len(UpperCamelCase_							)) + [1, 1] + ([0] * len(UpperCamelCase_							)) + [1]

							def       lowerCamelCase_ (							self:	Union[str, Any]    ,						UpperCamelCase_:	List[int]    ,						UpperCamelCase_:	Optional[List[int]] = None							)			->   List[int]:





									"""simple docstring"""







									lowercase__            =      [self.sep_token_id]
									lowercase__            =      [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 + sep + token_ids_a + sep							) * [0]

							@property
							def       lowerCamelCase_ (							self:	Union[str, Any]							)			->   List[Any]:





									"""simple docstring"""







									return len(self.fairseq_tokens_to_ids							) + len(self.sp_model							)

							def       lowerCamelCase_ (							self:	List[str]							)			->   int:





									"""simple docstring"""







									lowercase__            =      {self.convert_ids_to_tokens(UpperCamelCase_							): i for i in range(self.vocab_size							)}
									vocab.update(self.added_tokens_encoder							)
									return vocab

							def       lowerCamelCase_ (							self:	Tuple    ,						UpperCamelCase_:	str							)			->   List[str]:





									"""simple docstring"""







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

							def       lowerCamelCase_ (							self:	List[str]    ,						UpperCamelCase_:	Optional[Any]							)			->   Optional[Any]:





									"""simple docstring"""







									if token in self.fairseq_tokens_to_ids:
											return self.fairseq_tokens_to_ids[token]
									elif self.sp_model.PieceToId(UpperCamelCase_							) == 0:
											# Convert sentence piece unk token to fairseq unk token index
											return self.unk_token_id
									return self.fairseq_offset + self.sp_model.PieceToId(UpperCamelCase_							)

							def       lowerCamelCase_ (							self:	Optional[Any]    ,						UpperCamelCase_:	List[str]							)			->   Dict:





									"""simple docstring"""







									if index in self.fairseq_ids_to_tokens:
											return self.fairseq_ids_to_tokens[index]
									return self.sp_model.IdToPiece(index - self.fairseq_offset							)

							def       lowerCamelCase_ (							self:	List[str]    ,						UpperCamelCase_:	Optional[int]							)			->   List[Any]:





									"""simple docstring"""







									lowercase__            =      []
									lowercase__            =      ''''''
									lowercase__            =      False
									for token in tokens:
											# make sure that special tokens are not decoded using sentencepiece model
											if token in self.all_special_tokens:
													if not prev_is_special:
															out_string += " "
													out_string += self.sp_model.decode(UpperCamelCase_							) + token
													lowercase__            =      True
													lowercase__            =      []
											else:
													current_sub_tokens.append(UpperCamelCase_							)
													lowercase__            =      False
									out_string += self.sp_model.decode(UpperCamelCase_							)
									return out_string.strip()

							def __getstate__(							self:	List[str]							)			->   Union[str, Any]:





									"""simple docstring"""







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

							def __setstate__(							self:	Any    ,						UpperCamelCase_:	List[str]							)			->   Dict:





									"""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:	str    ,						UpperCamelCase_:	str    ,						UpperCamelCase_:	Optional[str] = None							)			->   Tuple[str]:





									"""simple docstring"""







									if not os.path.isdir(UpperCamelCase_							):
											logger.error(f'Vocabulary path ({save_directory}) should be a directory'							)
											return
									lowercase__            =      os.path.join(
									    UpperCamelCase_    ,						(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']							)

									if os.path.abspath(self.vocab_file							) != os.path.abspath(UpperCamelCase_							) and os.path.isfile(self.vocab_file							):
											copyfile(self.vocab_file    ,						UpperCamelCase_							)
									elif not os.path.isfile(self.vocab_file							):
											with open(UpperCamelCase_    ,						'''wb'''							) as fi:
													lowercase__            =      self.sp_model.serialized_model_proto()
													fi.write(UpperCamelCase_							)

									return (out_vocab_file,)






def 			_a (      SCREAMING_SNAKE_CASE						,				SCREAMING_SNAKE_CASE						,				SCREAMING_SNAKE_CASE     ):


		"""simple docstring"""




		if exponent == 1:
				return base
		if exponent % 2 == 0:
				lowercase__            =      _modexpt(SCREAMING_SNAKE_CASE						,				exponent // 2						,				SCREAMING_SNAKE_CASE     ) % modulo_value
				return (x * x) % modulo_value
		else:
				return (base * _modexpt(SCREAMING_SNAKE_CASE						,				exponent - 1						,				SCREAMING_SNAKE_CASE     )) % modulo_value
def 			_a (      SCREAMING_SNAKE_CASE = 17_77						,				SCREAMING_SNAKE_CASE = 18_55						,				SCREAMING_SNAKE_CASE = 8     ):


		"""simple docstring"""




		lowercase__            =      base
		for _ in range(1						,				SCREAMING_SNAKE_CASE     ):
				lowercase__            =      _modexpt(SCREAMING_SNAKE_CASE						,				SCREAMING_SNAKE_CASE						,				10**digits     )

		return result


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


