"""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_big_bird import BigBirdTokenizer
else:
       __lowercase		:		str														=							None

__lowercase		:		Any														=							logging.get_logger(__name__)
__lowercase		:		Dict														=							{"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

__lowercase		:		List[str]														=							{
    "vocab_file": {
        "google/bigbird-roberta-base": "https://huggingface.co/google/bigbird-roberta-base/resolve/main/spiece.model",
        "google/bigbird-roberta-large": (
            "https://huggingface.co/google/bigbird-roberta-large/resolve/main/spiece.model"
        ),
        "google/bigbird-base-trivia-itc": (
            "https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/spiece.model"
        ),
    },
    "tokenizer_file": {
        "google/bigbird-roberta-base": (
            "https://huggingface.co/google/bigbird-roberta-base/resolve/main/tokenizer.json"
        ),
        "google/bigbird-roberta-large": (
            "https://huggingface.co/google/bigbird-roberta-large/resolve/main/tokenizer.json"
        ),
        "google/bigbird-base-trivia-itc": (
            "https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/tokenizer.json"
        ),
    },
}

__lowercase		:		Dict														=							{
    "google/bigbird-roberta-base": 4096,
    "google/bigbird-roberta-large": 4096,
    "google/bigbird-base-trivia-itc": 4096,
}


__lowercase		:		Optional[int]														=							"▁"



class      _A	(						__a					):




    """simple docstring"""




    UpperCamelCase_	:					Optional[int]							=					VOCAB_FILES_NAMES
    UpperCamelCase_	:					List[str]							=					PRETRAINED_VOCAB_FILES_MAP
    UpperCamelCase_	:					Dict							=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    UpperCamelCase_	:					int							=					BigBirdTokenizer
    UpperCamelCase_	:					List[Any]							=					["input_ids", "attention_mask"]
    UpperCamelCase_	:					List[int]							=					[]
    def __init__(		self							:     int	,      A_							:     Dict=None	,      A_							:     Optional[int]=None	,      A_							:     List[Any]="<unk>"	,      A_							:     str="<s>"	,      A_							:     List[Any]="</s>"	,      A_							:     Optional[Any]="<pad>"	,      A_							:     Tuple="[SEP]"	,      A_							:     List[Any]="[MASK]"	,      A_							:     Optional[Any]="[CLS]"	,      **A_							:     int	,      )    ->       int:
         __snake_case				=							AddedToken(lowerCAmelCase_	,      lstrip=lowerCAmelCase_	,      rstrip=lowerCAmelCase_    ) if isinstance(lowerCAmelCase_	,      lowerCAmelCase_    ) else bos_token
         __snake_case				=							AddedToken(lowerCAmelCase_	,      lstrip=lowerCAmelCase_	,      rstrip=lowerCAmelCase_    ) if isinstance(lowerCAmelCase_	,      lowerCAmelCase_    ) else eos_token
         __snake_case				=							AddedToken(lowerCAmelCase_	,      lstrip=lowerCAmelCase_	,      rstrip=lowerCAmelCase_    ) if isinstance(lowerCAmelCase_	,      lowerCAmelCase_    ) else unk_token
         __snake_case				=							AddedToken(lowerCAmelCase_	,      lstrip=lowerCAmelCase_	,      rstrip=lowerCAmelCase_    ) if isinstance(lowerCAmelCase_	,      lowerCAmelCase_    ) else pad_token
         __snake_case				=							AddedToken(lowerCAmelCase_	,      lstrip=lowerCAmelCase_	,      rstrip=lowerCAmelCase_    ) if isinstance(lowerCAmelCase_	,      lowerCAmelCase_    ) else cls_token
         __snake_case				=							AddedToken(lowerCAmelCase_	,      lstrip=lowerCAmelCase_	,      rstrip=lowerCAmelCase_    ) if isinstance(lowerCAmelCase_	,      lowerCAmelCase_    ) else sep_token

         # Mask token behave like a normal word, i.e. include the space before it
         __snake_case				=							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_	,      unk_token=lowerCAmelCase_	,      sep_token=lowerCAmelCase_	,      pad_token=lowerCAmelCase_	,      cls_token=lowerCAmelCase_	,      mask_token=lowerCAmelCase_	,      **lowerCAmelCase_	,      )

         __snake_case				=							vocab_file
         __snake_case				=							False if not self.vocab_file else True
    def  lowercase					(		self							:     Dict	,      A_							:     Union[str, Any]	,      A_							:     Optional[int] = None    )    ->       List[int]:
         __snake_case				=							[self.sep_token_id]
         __snake_case				=							[self.cls_token_id]
         if token_ids_a is None:
              return cls + token_ids_a + sep
         return cls + token_ids_a + sep + token_ids_a + sep
    def  lowercase					(		self							:     int	,      A_							:     Any	,      A_							:     Optional[int] = None	,      A_							:     Dict = False    )    ->       List[int]:







         if already_has_special_tokens:
              if token_ids_a is not None:
                   raise ValueError(
                       '''You should not supply a second sequence if the provided sequence of '''
                       '''ids is already formatted with special tokens for the model.'''    )
              return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

         if token_ids_a is None:
              return [1] + ([0] * len(lowerCAmelCase_    )) + [1]
         return [1] + ([0] * len(lowerCAmelCase_    )) + [1] + ([0] * len(lowerCAmelCase_    )) + [1]
    def  lowercase					(		self							:     Dict	,      A_							:     int	,      A_							:     List[Any] = None    )    ->       List[int]:
         __snake_case				=							[self.sep_token_id]
         __snake_case				=							[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    ) * [0] + len(token_ids_a + sep    ) * [1]







    def  lowercase					(		self							:     Dict	,      A_							:     int	,      A_							:     List[str] = None    )    ->       Tuple[str]:







         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
         __snake_case				=							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,)
"""simple docstring"""



def    SCREAMING_SNAKE_CASE       (     snake_case):
     return 1 if digit in (0, 1) else (digit * factorial(digit - 1))





def    SCREAMING_SNAKE_CASE       (     snake_case):
     __snake_case				=							0
     __snake_case				=							number
     while duplicate > 0:
          __snake_case		,	__snake_case				=							divmod(snake_case,      10)
          fact_sum += factorial(snake_case)
     return fact_sum == number


if __name__ == "__main__":
       print("Program to check whether a number is a Krisnamurthy Number or not.")
       __lowercase		:		Optional[int]														=							int(input("Enter number: ").strip())
       print(
           F"""{number} is {'' if krishnamurthy(number) else 'not '}a Krishnamurthy Number."""
       )