






from typing import Dict, List, Optional, Tuple

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


UpperCAmelCase_					:		Optional[Any]           = logging.get_logger(__name__)

class        _SCREAMING_SNAKE_CASE			(     _a ):
	snake_case__				:	int	      =    ["""input_ids""", """attention_mask"""]





	def __init__(						self							:   Union[str, Any]					,    __lowerCamelCase							:   Optional[Any]="[PAD]"					,    __lowerCamelCase							:   List[Any]="[BOS]"					,    __lowerCamelCase							:   int="[EOS]"					,    __lowerCamelCase							:   str="[MASK]"					,    __lowerCamelCase							:   Optional[Any]="[CLS]"					,    __lowerCamelCase							:   List[str]="[SEP]"					,    __lowerCamelCase							:   Optional[Any]=2_048					,    **__lowerCamelCase							:   Any					,    ):
		UpperCamelCase	:Optional[Any]		=      AddedToken(__lowerCamelCase					,    lstrip=__lowerCamelCase					,    rstrip=__lowerCamelCase      ) if isinstance(__lowerCamelCase					,    __lowerCamelCase      ) else pad_token
		UpperCamelCase	:str		=      AddedToken(__lowerCamelCase					,    lstrip=__lowerCamelCase					,    rstrip=__lowerCamelCase      ) if isinstance(__lowerCamelCase					,    __lowerCamelCase      ) else bos_token
		UpperCamelCase	:Optional[int]		=      AddedToken(__lowerCamelCase					,    lstrip=__lowerCamelCase					,    rstrip=__lowerCamelCase      ) if isinstance(__lowerCamelCase					,    __lowerCamelCase      ) else eos_token
		UpperCamelCase	:List[str]		=      AddedToken(__lowerCamelCase					,    lstrip=__lowerCamelCase					,    rstrip=__lowerCamelCase      ) if isinstance(__lowerCamelCase					,    __lowerCamelCase      ) else mask_token
		UpperCamelCase	:List[str]		=      AddedToken(__lowerCamelCase					,    lstrip=__lowerCamelCase					,    rstrip=__lowerCamelCase      ) if isinstance(__lowerCamelCase					,    __lowerCamelCase      ) else cls_token
		UpperCamelCase	:Dict		=      AddedToken(__lowerCamelCase					,    lstrip=__lowerCamelCase					,    rstrip=__lowerCamelCase      ) if isinstance(__lowerCamelCase					,    __lowerCamelCase      ) else sep_token

		super().__init__(
		    pad_token=__lowerCamelCase					,    bos_token=__lowerCamelCase					,    eos_token=__lowerCamelCase					,    mask_token=__lowerCamelCase					,    cls_token=__lowerCamelCase					,    sep_token=__lowerCamelCase					,    model_max_length=__lowerCamelCase					,    **__lowerCamelCase					,    )

		UpperCamelCase	:List[str]		=      2**8  # utf is 8 bits

		# define special tokens dict
		UpperCamelCase	:Dict[str, int]		=      {
		    self.pad_token: 0,
		    self.bos_token: 1,
		    self.eos_token: 2,
		    self.mask_token: 3,
		    self.cls_token: 4,
		    self.sep_token: 5,
		}
		UpperCamelCase	:Dict		=      len(self.special_tokens_encoder      )
		UpperCamelCase	:Dict[int, str]		=      {v: k for k, v in self.special_tokens_encoder.items()}





	def 		_A					(						self							:   Optional[Any]      ):
		UpperCamelCase	:Union[str, Any]		=      self.special_tokens_encoder.copy()
		vocab.update(self.added_tokens_encoder      )
		for i in range(self._utf_vocab_size      ):
			UpperCamelCase	:Optional[Any]		=      chr(__lowerCamelCase      )
			UpperCamelCase	:Optional[Any]		=      i + len(self.special_tokens_encoder      )
		return vocab





	@property
	def 		_A					(						self							:   Any      ):
		return self._utf_vocab_size + self._num_special_tokens





	def 		_A					(						self							:   List[Any]					,    __lowerCamelCase							:   List[int]					,    __lowerCamelCase							:   Optional[List[int]] = None					,    __lowerCamelCase							:   bool = False      ):
		if already_has_special_tokens:
			return super().get_special_tokens_mask(
			    token_ids_a=__lowerCamelCase					,    token_ids_a=__lowerCamelCase					,    already_has_special_tokens=__lowerCamelCase      )

		# normal case: some special tokens
		if token_ids_a is None:
			return [1] + [0] * len(__lowerCamelCase      ) + [1]
		return [1] + ([0] * len(__lowerCamelCase      )) + [1] + ([0] * len(__lowerCamelCase      )) + [1]





	def 		_A					(						self							:   Optional[int]					,    __lowerCamelCase							:   List[int]					,    __lowerCamelCase							:   Optional[List[int]] = None      ):
		if token_ids_a is None:
			return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
		else:
			return [self.cls_token_id] + token_ids_a + [self.sep_token_id] + token_ids_a + [self.sep_token_id]





	def 		_A					(						self							:   Any					,    __lowerCamelCase							:   str      ):
		UpperCamelCase	:Dict		=      [chr(__lowerCamelCase      ) for i in text.encode("""utf-8"""      )]
		return tokens





	def 		_A					(						self							:   List[str]					,    __lowerCamelCase							:   int      ):
		if token in self.special_tokens_encoder:
			UpperCamelCase	:Optional[Any]		=      self.special_tokens_encoder[token]
		elif token in self.added_tokens_encoder:
			UpperCamelCase	:List[Any]		=      self.added_tokens_encoder[token]
		elif len(__lowerCamelCase      ) != 1:
			UpperCamelCase	:Optional[Any]		=      self.unk_token_id
		else:
			UpperCamelCase	:Dict		=      ord(__lowerCamelCase      ) + self._num_special_tokens
		return token_id





	def 		_A					(						self							:   List[Any]					,    __lowerCamelCase							:   Any      ):
		if index in self.special_tokens_decoder:
			UpperCamelCase	:Dict		=      self.special_tokens_decoder[index]
		elif index in self.added_tokens_decoder:
			UpperCamelCase	:Tuple		=      self.added_tokens_decoder[index]
		else:
			UpperCamelCase	:Tuple		=      chr(index - self._num_special_tokens      )
		return token





	def 		_A					(						self							:   Optional[int]					,    __lowerCamelCase							:   int      ):
		UpperCamelCase	:Optional[Any]		=      b""""""
		for token in tokens:
			if token in self.special_tokens_decoder:
				UpperCamelCase	:int		=      self.special_tokens_decoder[token].encode("""utf-8"""      )
			elif token in self.added_tokens_decoder:
				UpperCamelCase	:Union[str, Any]		=      self.special_tokens_decoder[token].encode("""utf-8"""      )
			elif token in self.special_tokens_encoder:
				UpperCamelCase	:int		=      token.encode("""utf-8"""      )
			elif token in self.added_tokens_encoder:
				UpperCamelCase	:int		=      token.encode("""utf-8"""      )
			else:
				UpperCamelCase	:Any		=      bytes([ord(__lowerCamelCase      )]      )
			bstring += tok_string
		UpperCamelCase	:int		=      bstring.decode("""utf-8"""					,    errors="""replace"""      )
		return string





	def 		_A					(						self							:   str					,    __lowerCamelCase							:   str					,    __lowerCamelCase							:   Optional[str] = None      ):
		return ()








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

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
	from .tokenization_xlm_roberta import XLMRobertaTokenizer
else:
	UpperCAmelCase_					:		str           = None


UpperCAmelCase_					:		int           = logging.get_logger(__name__)

UpperCAmelCase_					:		List[str]           = {'''vocab_file''': '''sentencepiece.bpe.model''', '''tokenizer_file''': '''tokenizer.json'''}

UpperCAmelCase_					:		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'''
        ),
    },
    '''tokenizer_file''': {
        '''xlm-roberta-base''': '''https://huggingface.co/xlm-roberta-base/resolve/main/tokenizer.json''',
        '''xlm-roberta-large''': '''https://huggingface.co/xlm-roberta-large/resolve/main/tokenizer.json''',
        '''xlm-roberta-large-finetuned-conll02-dutch''': (
            '''https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/tokenizer.json'''
        ),
        '''xlm-roberta-large-finetuned-conll02-spanish''': (
            '''https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/tokenizer.json'''
        ),
        '''xlm-roberta-large-finetuned-conll03-english''': (
            '''https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/tokenizer.json'''
        ),
        '''xlm-roberta-large-finetuned-conll03-german''': (
            '''https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/tokenizer.json'''
        ),
    },
}

UpperCAmelCase_					:		Any           = {
    '''xlm-roberta-base''': 5_12,
    '''xlm-roberta-large''': 5_12,
    '''xlm-roberta-large-finetuned-conll02-dutch''': 5_12,
    '''xlm-roberta-large-finetuned-conll02-spanish''': 5_12,
    '''xlm-roberta-large-finetuned-conll03-english''': 5_12,
    '''xlm-roberta-large-finetuned-conll03-german''': 5_12,
}

class        _SCREAMING_SNAKE_CASE			(     _a ):
	snake_case__				:	Dict	      =    VOCAB_FILES_NAMES
	snake_case__				:	Optional[int]	      =    PRETRAINED_VOCAB_FILES_MAP
	snake_case__				:	str	      =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	snake_case__				:	int	      =    ["""input_ids""", """attention_mask"""]
	snake_case__				:	Dict	      =    XLMRobertaTokenizer





	def __init__(						self							:   List[str]					,    __lowerCamelCase							:   List[Any]=None					,    __lowerCamelCase							:   int=None					,    __lowerCamelCase							:   Dict="<s>"					,    __lowerCamelCase							:   Optional[int]="</s>"					,    __lowerCamelCase							:   int="</s>"					,    __lowerCamelCase							:   Dict="<s>"					,    __lowerCamelCase							:   Optional[Any]="<unk>"					,    __lowerCamelCase							:   Union[str, Any]="<pad>"					,    __lowerCamelCase							:   Any="<mask>"					,    **__lowerCamelCase							:   List[str]					,    ):
		# Mask token behave like a normal word, i.e. include the space before it
		UpperCamelCase	:int		=      AddedToken(__lowerCamelCase					,    lstrip=__lowerCamelCase					,    rstrip=__lowerCamelCase      ) if isinstance(__lowerCamelCase					,    __lowerCamelCase      ) else mask_token

		super().__init__(
		    __lowerCamelCase					,    tokenizer_file=__lowerCamelCase					,    bos_token=__lowerCamelCase					,    eos_token=__lowerCamelCase					,    sep_token=__lowerCamelCase					,    cls_token=__lowerCamelCase					,    unk_token=__lowerCamelCase					,    pad_token=__lowerCamelCase					,    mask_token=__lowerCamelCase					,    **__lowerCamelCase					,    )

		UpperCamelCase	:Optional[int]		=      vocab_file
		UpperCamelCase	:List[Any]		=      False if not self.vocab_file else True





	def 		_A					(						self							:   Dict					,    __lowerCamelCase							:   List[int]					,    __lowerCamelCase							:   Optional[List[int]] = None      ):

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





	def 		_A					(						self							:   List[str]					,    __lowerCamelCase							:   List[int]					,    __lowerCamelCase							:   Optional[List[int]] = None      ):
		UpperCamelCase	:str		=      [self.sep_token_id]
		UpperCamelCase	: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]





	def 		_A					(						self							:   Optional[int]					,    __lowerCamelCase							:   str					,    __lowerCamelCase							:   Optional[str] = None      ):
		if not self.can_save_slow_tokenizer:
			raise ValueError(
			    """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
			    """tokenizer."""      )

		if not os.path.isdir(__lowerCamelCase      ):
			logger.error(F"""Vocabulary path ({save_directory}) should be a directory."""      )
			return
		UpperCamelCase	:Union[str, Any]		=      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,)
