

import math





def 							__a       (					__A	):

    if 1 < number < 4:
        # 2 and 3 are primes
        return True
    elif number < 2 or number % 2 == 0 or number % 3 == 0:
        # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
        return False

    # All primes number are in format of 6k +/- 1
    for i in range(5 ,       int(math.sqrt(__A	) + 1	) ,       6	):
        if number % i == 0 or number % (i + 2) == 0:
            return False
    return True





def 							__a       (					__A = 600851475143	):

    try:
        SCREAMING_SNAKE_CASE__					     =						int(__A	)
    except (TypeError, ValueError):
        raise TypeError("Parameter n must be int or castable to int."	)
    if n <= 0:
        raise ValueError("Parameter n must be greater than or equal to one."	)
    SCREAMING_SNAKE_CASE__					     =						0
    if is_prime(__A	):
        return n
    while n % 2 == 0:
        n //= 2
    if is_prime(__A	):
        return n
    for i in range(3 ,       int(math.sqrt(__A	)	) + 1 ,       2	):
        if n % i == 0:
            if is_prime(n // i	):
                SCREAMING_SNAKE_CASE__					     =						n // i
                break
            elif is_prime(__A	):
                SCREAMING_SNAKE_CASE__					     =						i
    return max_number


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





import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_splinter import SplinterTokenizer


A__        =			logging.get_logger(__name__)

A__        =			{"vocab_file": "vocab.txt"}

A__        =			{
    "vocab_file": {
        "tau/splinter-base": "https://huggingface.co/tau/splinter-base/resolve/main/vocab.txt",
        "tau/splinter-base-qass": "https://huggingface.co/tau/splinter-base-qass/resolve/main/vocab.txt",
        "tau/splinter-large": "https://huggingface.co/tau/splinter-large/resolve/main/vocab.txt",
        "tau/splinter-large-qass": "https://huggingface.co/tau/splinter-large-qass/resolve/main/vocab.txt",
    }
}

A__        =			{
    "tau/splinter-base": 512,
    "tau/splinter-base-qass": 512,
    "tau/splinter-large": 512,
    "tau/splinter-large-qass": 512,
}

A__        =			{
    "tau/splinter-base": {"do_lower_case": False},
    "tau/splinter-base-qass": {"do_lower_case": False},
    "tau/splinter-large": {"do_lower_case": False},
    "tau/splinter-large-qass": {"do_lower_case": False},
}







class    UpperCamelCase_			(  _snake_case			):


  """simple docstring"""
  SCREAMING_SNAKE_CASE__				: Dict										=      VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE__				: Optional[int]										=      PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE__				: List[Any]										=      PRETRAINED_INIT_CONFIGURATION
  SCREAMING_SNAKE_CASE__				: str										=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE__				: Optional[Any]										=      SplinterTokenizer



  def __init__(	self    :				Tuple     ,  A_    :				Optional[Any]=None     ,  A_    :				Optional[int]=None     ,  A_    :				Optional[Any]=True     ,  A_    :				str="[UNK]"     ,  A_    :				Optional[Any]="[SEP]"     ,  A_    :				str="[PAD]"     ,  A_    :				List[Any]="[CLS]"     ,  A_    :				Union[str, Any]="[MASK]"     ,  A_    :				Any="[QUESTION]"     ,  A_    :				List[Any]=True     ,  A_    :				Union[str, Any]=None     ,  **A_    :				Optional[Any]     ,  )					-> Optional[Any]:
      super().__init__(
          A_     ,  tokenizer_file=A_     ,  do_lower_case=A_     ,  unk_token=A_     ,  sep_token=A_     ,  pad_token=A_     ,  cls_token=A_     ,  mask_token=A_     ,  tokenize_chinese_chars=A_     ,  strip_accents=A_     ,  additional_special_tokens=(question_token,)     ,  **A_     ,  )

      SCREAMING_SNAKE_CASE__					     =						json.loads(self.backend_tokenizer.normalizer.__getstate__()	)
      if (
          pre_tok_state.get("lowercase"     ,  A_	) != do_lower_case
          or pre_tok_state.get("strip_accents"     ,  A_	) != strip_accents
      ):
          SCREAMING_SNAKE_CASE__					     =						getattr(A_     ,  pre_tok_state.pop("type"	)	)
          SCREAMING_SNAKE_CASE__					     =						do_lower_case
          SCREAMING_SNAKE_CASE__					     =						strip_accents
          SCREAMING_SNAKE_CASE__					     =						pre_tok_class(**A_	)

      SCREAMING_SNAKE_CASE__					     =						do_lower_case



  @property
  def      _UpperCamelCase    (	self    :				List[Any]	)					-> Optional[Any]:
      return self.convert_tokens_to_ids(self.question_token	)



  def      _UpperCamelCase    (	self    :				List[str]     ,  A_    :				List[int]     ,  A_    :				Optional[List[int]] = None	)					-> List[int]:
      if token_ids_a is None:
          return [self.cls_token_id] + token_ids_a + [self.sep_token_id]

      SCREAMING_SNAKE_CASE__					     =						[self.cls_token_id]
      SCREAMING_SNAKE_CASE__					     =						[self.sep_token_id]
      SCREAMING_SNAKE_CASE__					     =						[self.question_token_id] + [self.convert_tokens_to_ids("."	)]
      if self.padding_side == "right":
          # Input is question-then-context
          return cls + token_ids_a + question_suffix + sep + token_ids_a + sep
      else:
          # Input is context-then-question
          return cls + token_ids_a + sep + token_ids_a + question_suffix + sep



  def      _UpperCamelCase    (	self    :				Optional[int]     ,  A_    :				List[int]     ,  A_    :				Optional[List[int]] = None	)					-> List[int]:
      SCREAMING_SNAKE_CASE__					     =						[self.sep_token_id]
      SCREAMING_SNAKE_CASE__					     =						[self.cls_token_id]
      SCREAMING_SNAKE_CASE__					     =						[self.question_token_id] + [self.convert_tokens_to_ids("."	)]
      if token_ids_a is None:
          return len(cls + token_ids_a + sep	) * [0]

      if self.padding_side == "right":
          # Input is question-then-context
          return len(cls + token_ids_a + question_suffix + sep	) * [0] + len(token_ids_a + sep	) * [1]
      else:
          # Input is context-then-question
          return len(cls + token_ids_a + sep	) * [0] + len(token_ids_a + question_suffix + sep	) * [1]







  def      _UpperCamelCase    (	self    :				Optional[int]     ,  A_    :				str     ,  A_    :				Optional[str] = None	)					-> Tuple[str]:
      SCREAMING_SNAKE_CASE__					     =						self._tokenizer.model.save(A_     ,  name=A_	)
      return tuple(A_	)


