


'''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


_lowerCAmelCase  :		Dict		     =	logging.get_logger(__name__)

_lowerCAmelCase  :		Dict		     =	'▁'

_lowerCAmelCase  :		Tuple		     =	{'vocab_file': 'sentencepiece.bpe.model'}

_lowerCAmelCase  :		List[Any]		     =	{
    'vocab_file': {
        'xlm-roberta-base': 'https://huggingface.co/xlm-roberta-base/resolve/main/sentencepiece.bpe.model',
        'xlm-roberta-large': 'https://huggingface.co/xlm-roberta-large/resolve/main/sentencepiece.bpe.model',
        'xlm-roberta-large-finetuned-conll02-dutch': (
            'https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/sentencepiece.bpe.model'
        ),
        'xlm-roberta-large-finetuned-conll02-spanish': (
            'https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/sentencepiece.bpe.model'
        ),
        'xlm-roberta-large-finetuned-conll03-english': (
            'https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/sentencepiece.bpe.model'
        ),
        'xlm-roberta-large-finetuned-conll03-german': (
            'https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/sentencepiece.bpe.model'
        ),
    }
}

_lowerCAmelCase  :		Optional[int]		     =	{
    'xlm-roberta-base': 512,
    'xlm-roberta-large': 512,
    'xlm-roberta-large-finetuned-conll02-dutch': 512,
    'xlm-roberta-large-finetuned-conll02-spanish': 512,
    'xlm-roberta-large-finetuned-conll03-english': 512,
    'xlm-roberta-large-finetuned-conll03-german': 512,
}



class  lowerCAmelCase				(				_A							):
	_lowerCamelCase   :					Optional[int]			      = VOCAB_FILES_NAMES
	_lowerCamelCase   :					int			      = PRETRAINED_VOCAB_FILES_MAP
	_lowerCamelCase   :					List[str]			      = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	_lowerCamelCase   :					Optional[int]			      = ["""input_ids""", """attention_mask"""]



	def __init__(					self ,					snake_case__ ,					snake_case__="<s>" ,					snake_case__="</s>" ,					snake_case__="</s>" ,					snake_case__="<s>" ,					snake_case__="<unk>" ,					snake_case__="<pad>" ,					snake_case__="<mask>" ,					snake_case__ = None ,					**snake_case__ ,					):
		lowerCAmelCase					:    List[Any]      							= AddedToken(UpperCamelCase__ ,					lstrip=UpperCamelCase__ ,					rstrip=UpperCamelCase__    ) if isinstance(UpperCamelCase__ ,					UpperCamelCase__    ) else mask_token

		lowerCAmelCase					:    List[Any]      							= {} 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__ ,					sp_model_kwargs=self.sp_model_kwargs ,					**UpperCamelCase__ ,					)

		lowerCAmelCase					:    Optional[Any]      							= spm.SentencePieceProcessor(**self.sp_model_kwargs    )
		self.sp_model.Load(str(UpperCamelCase__    )    )
		lowerCAmelCase					:    str      							= 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'

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

		# The first "real" token "," has position 4 in the original fairseq vocab and position 3 in the spm vocab
		lowerCAmelCase					:    str      							= 1

		lowerCAmelCase					:    Optional[int]      							= len(self.sp_model    ) + self.fairseq_offset
		lowerCAmelCase					:    Optional[Any]      							= {v: k for k, v in self.fairseq_tokens_to_ids.items()}



	def __getstate__(					self    ):
		lowerCAmelCase					:    Optional[int]      							= self.__dict__.copy()
		lowerCAmelCase					:    Optional[int]      							= None
		lowerCAmelCase					:    int      							= self.sp_model.serialized_model_proto()
		return state



	def __setstate__(					self ,					snake_case__    ):
		lowerCAmelCase					:    Optional[Any]      							= d

		# for backward compatibility
		if not hasattr(self ,					'sp_model_kwargs'    ):
			lowerCAmelCase					:    Union[str, Any]      							= {}

		lowerCAmelCase					:    Dict      							= spm.SentencePieceProcessor(**self.sp_model_kwargs    )
		self.sp_model.LoadFromSerializedProto(self.sp_model_proto    )



	def 				lowercase     (					self ,					snake_case__ ,					snake_case__ = None    ):






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



	def 				lowercase     (					self ,					snake_case__ ,					snake_case__ = None ,					snake_case__ = False    ):






		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 				lowercase     (					self ,					snake_case__ ,					snake_case__ = None    ):
		lowerCAmelCase					:    str      							= [self.sep_token_id]
		lowerCAmelCase					:    int      							= [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 				lowercase     (					self    ):
		return len(self.sp_model    ) + self.fairseq_offset + 1  # Add the <mask> token



	def 				lowercase     (					self    ):
		lowerCAmelCase					:    int      							= {self.convert_ids_to_tokens(UpperCamelCase__    ): i for i in range(self.vocab_size    )}
		vocab.update(self.added_tokens_encoder    )
		return vocab



	def 				lowercase     (					self ,					snake_case__    ):
		return self.sp_model.encode(UpperCamelCase__ ,					out_type=UpperCamelCase__    )



	def 				lowercase     (					self ,					snake_case__    ):






		if token in self.fairseq_tokens_to_ids:
			return self.fairseq_tokens_to_ids[token]
		lowerCAmelCase					:    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 				lowercase     (					self ,					snake_case__    ):






		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 				lowercase     (					self ,					snake_case__    ):
		lowerCAmelCase					:    Optional[Any]      							= ''.join(UpperCamelCase__    ).replace(UpperCamelCase__ ,					' '    ).strip()
		return out_string



	def 				lowercase     (					self ,					snake_case__ ,					snake_case__ = None    ):






		if not os.path.isdir(UpperCamelCase__    ):
			logger.error(f"Vocabulary path ({save_directory}) should be a directory"    )
			return
		lowerCAmelCase					:    List[Any]      							= 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:
				lowerCAmelCase					:    List[str]      							= self.sp_model.serialized_model_proto()
				fi.write(UpperCamelCase__    )

		return (out_vocab_file,)




'''simple docstring'''




def 			__UpperCamelCase    (    _A    :				int				)    ->      bool:




	"""simple docstring"""





	return number & 1 == 0


if __name__ == "__main__":
				import doctest

				doctest.testmod()
