


"""simple docstring"""
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


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

__SCREAMING_SNAKE_CASE							:			Optional[Any]						=			{"""vocab_file""": """sentencepiece.bpe.model"""}

__SCREAMING_SNAKE_CASE							:			Any						=			{
    """vocab_file""": {
        """camembert-base""": """https://huggingface.co/camembert-base/resolve/main/sentencepiece.bpe.model""",
    }
}

__SCREAMING_SNAKE_CASE							:			int						=			{
    """camembert-base""": 512,
}

__SCREAMING_SNAKE_CASE							:			List[Any]						=			"""▁"""





class    __A   (snake_case__):





							'''simple docstring'''

							__lowercase:						int												=			VOCAB_FILES_NAMES
							__lowercase:						List[str]												=			PRETRAINED_VOCAB_FILES_MAP
							__lowercase:						int												=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							__lowercase:						List[str]												=			["""input_ids""", """attention_mask"""]



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



														"""simple docstring"""



														snake_case_							=						AddedToken(UpperCAmelCase_						,				lstrip=UpperCAmelCase_						,				rstrip=UpperCAmelCase_				) if isinstance(UpperCAmelCase_						,				UpperCAmelCase_				) else mask_token

														snake_case_							=						{} 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_						,				)
														snake_case_							=						spm.SentencePieceProcessor(**self.sp_model_kwargs				)
														self.sp_model.Load(str(UpperCAmelCase_				)				)
														snake_case_							=						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>
														snake_case_							=						{"""<s>NOTUSED""": 0, """<pad>""": 1, """</s>NOTUSED""": 2, """<unk>""": 3}
														snake_case_							=						len(self.fairseq_tokens_to_ids				)
														snake_case_							=						len(self.sp_model				) + len(self.fairseq_tokens_to_ids				)
														snake_case_							=						{v: k for k, v in self.fairseq_tokens_to_ids.items()}



							def 						lowerCAmelCase				( self							:					Union[str, Any]						,				UpperCAmelCase_							:					List[Any]						,				UpperCAmelCase_							:					int = None				)    ->List[int]:



														"""simple docstring"""



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



							def 						lowerCAmelCase				( self							:					List[Any]						,				UpperCAmelCase_							:					Union[str, Any]						,				UpperCAmelCase_							:					Optional[int] = None						,				UpperCAmelCase_							:					Dict = 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							:					Tuple						,				UpperCAmelCase_							:					Optional[int]						,				UpperCAmelCase_							:					Dict = None				)    ->List[int]:



														"""simple docstring"""



														snake_case_							=						[self.sep_token_id]
														snake_case_							=						[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							:					Dict				)    ->List[Any]:



														"""simple docstring"""



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



							def 						lowerCAmelCase				( self							:					Tuple				)    ->Optional[Any]:



														"""simple docstring"""



														snake_case_							=						{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							:					List[str]						,				UpperCAmelCase_							:					int				)    ->List[str]:



														"""simple docstring"""



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



							def 						lowerCAmelCase				( self							:					Optional[Any]						,				UpperCAmelCase_							:					Optional[Any]				)    ->Dict:



														"""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							:					List[str]						,				UpperCAmelCase_							:					Tuple				)    ->Tuple:



														"""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							:					Dict						,				UpperCAmelCase_							:					int				)    ->Optional[Any]:



														"""simple docstring"""



														snake_case_							=						[]
														snake_case_							=						""""""
														snake_case_							=						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
																												snake_case_							=						True
																												snake_case_							=						[]
																					else:
																												current_sub_tokens.append(UpperCAmelCase_				)
																												snake_case_							=						False
														out_string += self.sp_model.decode(UpperCAmelCase_				)
														return out_string.strip()



							def __getstate__( self							:					List[Any]				)    ->Optional[int]:



														"""simple docstring"""



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



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



														"""simple docstring"""



														snake_case_							=						d

														# for backward compatibility
														if not hasattr(self						,				"""sp_model_kwargs"""				):
																					snake_case_							=						{}

														snake_case_							=						spm.SentencePieceProcessor(**self.sp_model_kwargs				)
														self.sp_model.Load(self.vocab_file				)



							def 						lowerCAmelCase				( self							:					List[str]						,				UpperCAmelCase_							:					Any						,				UpperCAmelCase_							:					Dict = None				)    ->Tuple[str]:



														"""simple docstring"""



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

														return (out_vocab_file,)








'''simple docstring'''




def       __lowerCamelCase  (					_lowercase	,				_lowercase		)      ->			int:
							if b == 0:
														return 1
							if (b % 2) == 0:
														return actual_power(_lowercase	,				int(b / 2		)		) * actual_power(_lowercase	,				int(b / 2		)		)
							else:
														return a * actual_power(_lowercase	,				int(b / 2		)		) * actual_power(_lowercase	,				int(b / 2		)		)



def       __lowerCamelCase  (					_lowercase	,				_lowercase		)      ->			float:
							if b < 0:
														return 1 / actual_power(_lowercase	,				_lowercase		)
							return actual_power(_lowercase	,				_lowercase		)


if __name__ == "__main__":
							print(power(-2, -3))

