

'''simple docstring'''






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:
      snake_case_       =       None


snake_case_       =       logging.get_logger(__name__)

snake_case_       =       {'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

snake_case_       =       {
    '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'
        ),
    },
}

snake_case_       =       {
    'xlm-roberta-base': 5_1_2,
    'xlm-roberta-large': 5_1_2,
    'xlm-roberta-large-finetuned-conll02-dutch': 5_1_2,
    'xlm-roberta-large-finetuned-conll02-spanish': 5_1_2,
    'xlm-roberta-large-finetuned-conll03-english': 5_1_2,
    'xlm-roberta-large-finetuned-conll03-german': 5_1_2,
}
class 	SCREAMING_SNAKE_CASE__			(				_UpperCAmelCase      ):
    _A			    =							VOCAB_FILES_NAMES
    _A			    =							PRETRAINED_VOCAB_FILES_MAP
    _A			    =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    _A			    =							["input_ids", "attention_mask"]
    _A			    =							XLMRobertaTokenizer




    def __init__(					self				,     lowercase__=None				,     lowercase__=None				,     lowercase__="<s>"				,     lowercase__="</s>"				,     lowercase__="</s>"				,     lowercase__="<s>"				,     lowercase__="<unk>"				,     lowercase__="<pad>"				,     lowercase__="<mask>"				,     **lowercase__				,     ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_      :			Any     =       AddedToken(lowercase__				,     lstrip=lowercase__				,     rstrip=lowercase__			) if isinstance(lowercase__				,     lowercase__			) else mask_token

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

          SCREAMING_SNAKE_CASE_      :			Dict     =       vocab_file
          SCREAMING_SNAKE_CASE_      :			Dict     =       False if not self.vocab_file else True




    def   __lowerCamelCase      (					self				,     lowercase__				,     lowercase__ = None			):






          """simple docstring"""






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




    def   __lowerCamelCase      (					self				,     lowercase__				,     lowercase__ = None			):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_      :			Any     =       [self.sep_token_id]
          SCREAMING_SNAKE_CASE_      :			List[Any]     =       [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   __lowerCamelCase      (					self				,     lowercase__				,     lowercase__ = None			):






          """simple docstring"""






          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(lowercase__			):
                logger.error(F"Vocabulary path ({save_directory}) should be a directory."			)
                return
          SCREAMING_SNAKE_CASE_      :			Any     =       os.path.join(
              lowercase__				,     (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]			)

          if os.path.abspath(self.vocab_file			) != os.path.abspath(lowercase__			):
                copyfile(self.vocab_file				,     lowercase__			)

          return (out_vocab_file,)





def        __lowerCAmelCase    (SCREAMING_SNAKE_CASE = 1000					)->  int:




      """simple docstring"""

      snake_case_       =      0
      snake_case_       =      (n - 1) // 3
      total += ((terms) * (6 + (terms - 1) * 3)) // 2  # total of an A.P.
      snake_case_       =      (n - 1) // 5
      total += ((terms) * (10 + (terms - 1) * 5)) // 2
      snake_case_       =      (n - 1) // 15
      total -= ((terms) * (30 + (terms - 1) * 15)) // 2
      return total


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