

'''simple docstring'''





from __future__ import annotations

from collections import namedtuple






def 							_lowerCAmelCase (      __magic_name__	:    float      ,   __magic_name__	:    float      ,   __magic_name__	:    float	)							->     tuple:
						lowercase   :       List[str]								=namedtuple('''result'''      ,   '''name value'''	)
						if (voltage, current, power).count(0	) != 1:
												raise ValueError('''Only one argument must be 0'''	)
						elif power < 0:
												raise ValueError(
												    '''Power cannot be negative in any electrical/electronics system'''	)
						elif voltage == 0:
												return result('''voltage'''      ,   power / current	)
						elif current == 0:
												return result('''current'''      ,   power / voltage	)
						elif power == 0:
												return result('''power'''      ,   float(round(abs(voltage * current	)      ,   2	)	)	)
						else:
												raise ValueError('''Exactly one argument must be 0'''	)


if __name__ == "__main__":
							import doctest

							doctest.testmod()








'''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


UpperCamelCase_							=					logging.get_logger(__name__)

UpperCamelCase_							=					"""▁"""

UpperCamelCase_							=					{"""vocab_file""": """sentencepiece.bpe.model"""}

UpperCamelCase_							=					{
    """vocab_file""": {
        """facebook/xglm-564M""": """https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model""",
    }
}

UpperCamelCase_							=					{
    """facebook/xglm-564M""": 2048,
}





class 		__SCREAMING_SNAKE_CASE       ( lowercase__			):
				lowerCamelCase_							=						VOCAB_FILES_NAMES
				lowerCamelCase_							=						PRETRAINED_VOCAB_FILES_MAP
				lowerCamelCase_							=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				lowerCamelCase_							=						['input_ids', 'attention_mask']







				def __init__(					self    :		Dict		,				UpperCAmelCase__    :		Optional[int]		,				UpperCAmelCase__    :		List[Any]="<s>"		,				UpperCAmelCase__    :		int="</s>"		,				UpperCAmelCase__    :		Optional[Any]="</s>"		,				UpperCAmelCase__    :		Optional[Any]="<s>"		,				UpperCAmelCase__    :		Any="<unk>"		,				UpperCAmelCase__    :		Any="<pad>"		,				UpperCAmelCase__    :		Optional[Dict[str, Any]] = None		,				**UpperCAmelCase__    :		Optional[int]		,				):
										'''simple docstring'''
										lowercase   :       int								={} if sp_model_kwargs is None else sp_model_kwargs

										# Compatibility with the original tokenizer
										lowercase   :       Optional[Any]								=7
										lowercase   :       Optional[int]								=[F'''<madeupword{i}>''' for i in range(self.num_madeup_words      )]

										lowercase   :       List[Any]								=kwargs.get('''additional_special_tokens'''		,				[]      )
										kwargs["additional_special_tokens"] += [
										    word for word in madeup_words if word not in kwargs["additional_special_tokens"]
										]

										super().__init__(
										    bos_token=UpperCAmelCase__		,				eos_token=UpperCAmelCase__		,				unk_token=UpperCAmelCase__		,				sep_token=UpperCAmelCase__		,				cls_token=UpperCAmelCase__		,				pad_token=UpperCAmelCase__		,				sp_model_kwargs=self.sp_model_kwargs		,				**UpperCAmelCase__		,				)

										lowercase   :       List[str]								=spm.SentencePieceProcessor(**self.sp_model_kwargs      )
										self.sp_model.Load(str(UpperCAmelCase__      )      )
										lowercase   :       List[Any]								=vocab_file

										# Original fairseq vocab and spm vocab must be "aligned":
										# Vocab    |    0    |    1    |   2    |    3    |  4  |  5  |  6  |   7   |   8   |  9
										# -------- | ------- | ------- | ------ | ------- | --- | --- | --- | ----- | ----- | ----
										# fairseq  | '<s>'   | '<pad>' | '</s>' | '<unk>' | ',' | '.' | '▁' | 's'   | '▁de' | '-'
										# spm      | '<unk>' | '<s>'   | '</s>' | ','     | '.' | '▁' | 's' | '▁de' | '-'   | '▁a'

										# The first "real" token "," has position 4 in the original fairseq vocab and position 3 in the spm vocab
										lowercase   :       Union[str, Any]								=1

										# Mimic fairseq token-to-id alignment for the first 4 token
										lowercase   :       List[str]								={'''<s>''': 0, '''<pad>''': 1, '''</s>''': 2, '''<unk>''': 3}

										lowercase   :       str								=len(self.sp_model      )
										lowercase   :       List[Any]								={F'''<madeupword{i}>''': sp_size + i + self.fairseq_offset for i in range(self.num_madeup_words      )}
										self.fairseq_tokens_to_ids.update(UpperCAmelCase__      )

										lowercase   :       int								={v: k for k, v in self.fairseq_tokens_to_ids.items()}







				def __getstate__(					self    :		int      ):
										'''simple docstring'''
										lowercase   :       Optional[int]								=self.__dict__.copy()
										lowercase   :       List[Any]								=None
										lowercase   :       Tuple								=self.sp_model.serialized_model_proto()
										return state







				def __setstate__(					self    :		Optional[Any]		,				UpperCAmelCase__    :		Any      ):
										'''simple docstring'''
										lowercase   :       int								=d

										# for backward compatibility
										if not hasattr(self		,				'''sp_model_kwargs'''      ):
																lowercase   :       Optional[int]								={}

										lowercase   :       List[Any]								=spm.SentencePieceProcessor(**self.sp_model_kwargs      )
										self.sp_model.LoadFromSerializedProto(self.sp_model_proto      )







				def    lowerCamelCase_  (					self    :		str		,				UpperCAmelCase__    :		List[int]		,				UpperCAmelCase__    :		Optional[List[int]] = None      ):
										'''simple docstring'''

										if token_ids_a is None:
																return [self.sep_token_id] + token_ids_a
										lowercase   :       List[Any]								=[self.sep_token_id]
										return sep + token_ids_a + sep + sep + token_ids_a







				def    lowerCamelCase_  (					self    :		Any		,				UpperCAmelCase__    :		List[int]		,				UpperCAmelCase__    :		Optional[List[int]] = None		,				UpperCAmelCase__    :		bool = False      ):
										'''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__      ))
										return [1] + ([0] * len(UpperCAmelCase__      )) + [1, 1] + ([0] * len(UpperCAmelCase__      ))







				def    lowerCamelCase_  (					self    :		Dict		,				UpperCAmelCase__    :		List[int]		,				UpperCAmelCase__    :		Optional[List[int]] = None      ):
										'''simple docstring'''
										lowercase   :       int								=[self.sep_token_id]

										if token_ids_a is None:
																return len(sep + token_ids_a      ) * [0]
										return len(sep + token_ids_a + sep + sep + token_ids_a      ) * [0]







				@property
				def    lowerCamelCase_  (					self    :		Dict      ):
										'''simple docstring'''
										return len(self.sp_model      ) + self.fairseq_offset + self.num_madeup_words







				def    lowerCamelCase_  (					self    :		List[str]      ):
										'''simple docstring'''
										lowercase   :       int								={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      ):
										'''simple docstring'''
										return self.sp_model.encode(UpperCAmelCase__		,				out_type=UpperCAmelCase__      )







				def    lowerCamelCase_  (					self    :		Dict		,				UpperCAmelCase__    :		Optional[Any]      ):
										'''simple docstring'''
										if token in self.fairseq_tokens_to_ids:
																return self.fairseq_tokens_to_ids[token]
										lowercase   :       List[str]								=self.sp_model.PieceToId(UpperCAmelCase__      )

										# Need to return unknown token if the SP model returned 0
										return spm_id + self.fairseq_offset if spm_id else self.unk_token_id







				def    lowerCamelCase_  (					self    :		Optional[Any]		,				UpperCAmelCase__    :		Any      ):
										'''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[Any]      ):
										'''simple docstring'''
										lowercase   :       Dict								=''''''.join(UpperCAmelCase__      ).replace(UpperCAmelCase__		,				''' '''      ).strip()
										return out_string







				def    lowerCamelCase_  (					self    :		Optional[int]		,				UpperCAmelCase__    :		str		,				UpperCAmelCase__    :		Optional[str] = None      ):
										'''simple docstring'''
										if not os.path.isdir(UpperCAmelCase__      ):
																logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''      )
																return
										lowercase   :       Dict								=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   :       Optional[int]								=self.sp_model.serialized_model_proto()
																						fi.write(UpperCAmelCase__      )

										return (out_vocab_file,)





