
'''simple docstring'''






import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mvp import MvpTokenizer


lowerCAmelCase__      		=			logging.get_logger(__name__)


lowerCAmelCase__      		=			{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

# See all MVP models at https://huggingface.co/models?filter=mvp
lowerCAmelCase__      		=			{
    'vocab_file': {
        'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json',
    },
    'added_tokens.json': {
        'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json',
    },
    'merges_file': {
        'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt',
    },
    'tokenizer_file': {
        'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/tokenizer.json',
    },
}

lowerCAmelCase__      		=			{
    'RUCAIBox/mvp': 1024,
}






class     lowercase_			(a__   ):




  """simple docstring"""




  SCREAMING_SNAKE_CASE					:						str           =    VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE					:						str           =    PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE					:						Tuple           =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE					:						str           =    ["""input_ids""", """attention_mask"""]
  SCREAMING_SNAKE_CASE					:						List[Any]           =    MvpTokenizer






  def __init__(   self     :  int      ,lowercase__     :  List[Any]=None      ,lowercase__     :  Optional[Any]=None      ,lowercase__     :  List[str]=None      ,lowercase__     :  List[str]="replace"      ,lowercase__     :  Optional[int]="<s>"      ,lowercase__     :  Union[str, Any]="</s>"      ,lowercase__     :  Any="</s>"      ,lowercase__     :  str="<s>"      ,lowercase__     :  str="<unk>"      ,lowercase__     :  Union[str, Any]="<pad>"      ,lowercase__     :  Dict="<mask>"      ,lowercase__     :  Dict=False      ,lowercase__     :  Tuple=True      ,**lowercase__     :  List[Any]      ,):
   super().__init__(
       lowercase__      ,lowercase__      ,tokenizer_file=lowercase__      ,errors=lowercase__      ,bos_token=lowercase__      ,eos_token=lowercase__      ,sep_token=lowercase__      ,cls_token=lowercase__      ,unk_token=lowercase__      ,pad_token=lowercase__      ,mask_token=lowercase__      ,add_prefix_space=lowercase__      ,trim_offsets=lowercase__      ,**lowercase__      ,)

   __lowercase													=				json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()    )
   if pre_tok_state.get('''add_prefix_space'''      ,lowercase__    ) != add_prefix_space:
    __lowercase													=				getattr(lowercase__      ,pre_tok_state.pop('''type'''    )    )
    __lowercase													=				add_prefix_space
    __lowercase													=				pre_tok_class(**lowercase__    )

   __lowercase													=				add_prefix_space

   # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
   __lowercase													=				'''post_processor'''
   __lowercase													=				getattr(self.backend_tokenizer      ,lowercase__      ,lowercase__    )
   if tokenizer_component_instance:
    __lowercase													=				json.loads(tokenizer_component_instance.__getstate__()    )

    # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
    if "sep" in state:
     __lowercase													=				tuple(state['''sep''']    )
    if "cls" in state:
     __lowercase													=				tuple(state['''cls''']    )

    __lowercase													=				False

    if state.get('''add_prefix_space'''      ,lowercase__    ) != add_prefix_space:
     __lowercase													=				add_prefix_space
     __lowercase													=				True

    if state.get('''trim_offsets'''      ,lowercase__    ) != trim_offsets:
     __lowercase													=				trim_offsets
     __lowercase													=				True

    if changes_to_apply:
     __lowercase													=				getattr(lowercase__      ,state.pop('''type'''    )    )
     __lowercase													=				component_class(**lowercase__    )
     setattr(self.backend_tokenizer      ,lowercase__      ,lowercase__    )






  @property
  def       SCREAMING_SNAKE_CASE   (   self     :  List[str]    ):





   if self._mask_token is None:
    if self.verbose:
     logger.error('''Using mask_token, but it is not set yet.'''    )
    return None
   return str(self._mask_token    )






  @mask_token.setter
  def       SCREAMING_SNAKE_CASE   (   self     :  Tuple      ,lowercase__     :  Optional[int]    ):
   __lowercase													=				AddedToken(lowercase__      ,lstrip=lowercase__      ,rstrip=lowercase__    ) if isinstance(lowercase__      ,lowercase__    ) else value
   __lowercase													=				value






  def       SCREAMING_SNAKE_CASE   (   self     :  Tuple      ,*lowercase__     :  int      ,**lowercase__     :  int    ):
   __lowercase													=				kwargs.get('''is_split_into_words'''      ,lowercase__    )

   if is_split_into_words and not self.add_prefix_space:
    raise ValueError(
        F"You need to instantiate {self.__class__.__name__} with add_prefix_space=True "
        '''to use it with pretokenized inputs.'''    )

   return super()._batch_encode_plus(*lowercase__      ,**lowercase__    )






  def       SCREAMING_SNAKE_CASE   (   self     :  List[Any]      ,*lowercase__     :  Dict      ,**lowercase__     :  Dict    ):
   __lowercase													=				kwargs.get('''is_split_into_words'''      ,lowercase__    )

   if is_split_into_words and not self.add_prefix_space:
    raise ValueError(
        F"You need to instantiate {self.__class__.__name__} with add_prefix_space=True "
        '''to use it with pretokenized inputs.'''    )

   return super()._encode_plus(*lowercase__      ,**lowercase__    )






  def       SCREAMING_SNAKE_CASE   (   self     :  Optional[int]      ,lowercase__     :  List[Any]      ,lowercase__     :  Optional[Any] = None    ):
   __lowercase													=				self._tokenizer.model.save(lowercase__      ,name=lowercase__    )
   return tuple(lowercase__    )






  def       SCREAMING_SNAKE_CASE   (   self     :  Tuple      ,lowercase__     :  Dict      ,lowercase__     :  Union[str, Any]=None    ):
   __lowercase													=				[self.bos_token_id] + token_ids_a + [self.eos_token_id]
   if token_ids_a is None:
    return output

   return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]






  def       SCREAMING_SNAKE_CASE   (   self     :  str      ,lowercase__     :  Dict      ,lowercase__     :  Dict = None    ):
   __lowercase													=				[self.sep_token_id]
   __lowercase													=				[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]




'''simple docstring'''






def 	_A  (					):






 """simple docstring"""



 for n in range(1  ,       1000000   ):
  yield n * (n + 1) // 2


def 	_A  (					A__   ):






 """simple docstring"""



 __lowercase													=				1
 __lowercase													=				2
 while i * i <= n:
  __lowercase													=				0
  while n % i == 0:
   n //= i
   multiplicity += 1
  divisors_count *= multiplicity + 1
  i += 1
 if n > 1:
  divisors_count *= 2
 return divisors_count


def 	_A  (					):






 """simple docstring"""



 return next(i for i in triangle_number_generator() if count_divisors(A__   ) > 500   )


if __name__ == "__main__":
 print(solution())

