


"""simple docstring"""


import os
from collections import deque

import torch
from torch.utils.data import Dataset



class   _a      (      SCREAMING_SNAKE_CASE_ ):
    def __init__( self							:					Any							,					SCREAMING_SNAKE_CASE__							:					Union[str, Any]=""							,					SCREAMING_SNAKE_CASE__							:					Dict="train"				):
          assert os.path.isdir(SCREAMING_SNAKE_CASE__				)

          lowerCamelCase__           =		[]
          lowerCamelCase__           =		os.listdir(SCREAMING_SNAKE_CASE__				)
          for story_filename in story_filenames_list:
                if "summary" in story_filename:
                      continue
                lowerCamelCase__           =		os.path.join(SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__				)
                if not os.path.isfile(SCREAMING_SNAKE_CASE__				):
                      continue
                self.documents.append(SCREAMING_SNAKE_CASE__				)
    def __len__( self							:					Union[str, Any]				):
          return len(self.documents				)


    def __getitem__( self							:					Tuple							,					SCREAMING_SNAKE_CASE__							:					Any				):
          lowerCamelCase__           =		self.documents[idx]
          lowerCamelCase__           =		document_path.split('/'				)[-1]
          with open(SCREAMING_SNAKE_CASE__							,					encoding='utf-8'				) as source:
                lowerCamelCase__           =		source.read()
                lowerCamelCase__    ,  lowerCamelCase__           =		process_story(SCREAMING_SNAKE_CASE__				)
          return document_name, story_lines, summary_lines





def   snake_case						(				_a:     List[Any]							)->		int:
      '''simple docstring'''


      lowerCamelCase__           =		list(filter(lambda _a							: len(_a							) != 0		,   [line.strip() for line in raw_story.split('\n'							)]							)							)

      # for some unknown reason some lines miss a period, add it
      lowerCamelCase__           =		[_add_missing_period(_a							) for line in nonempty_lines]

      # gather article lines
      lowerCamelCase__           =		[]
      lowerCamelCase__           =		deque(_a							)
      while True:
            try:
                  lowerCamelCase__           =		lines.popleft()
                  if element.startswith('@highlight'							):
                        break
                  story_lines.append(_a							)
            except IndexError:
                  # if "@highlight" is absent from the file we pop
                  # all elements until there is None, raising an exception.
                  return story_lines, []

    # gather summary lines
      lowerCamelCase__           =		list(filter(lambda _a							: not t.startswith('@highlight'							)		,   _a							)							)

      return story_lines, summary_lines



def   snake_case						(				_a:     Tuple							)->		List[Any]:
      '''simple docstring'''


      lowerCamelCase__           =		['.', '!', '?', '...', '\'', '`', '"', '\u2019', '\u2019', ')']
      if line.startswith('@highlight'							):
            return line
      if line[-1] in END_TOKENS:
            return line
      return line + "."



def   snake_case						(				_a:     Optional[int]		,   _a:     int		,   _a:     Optional[Any]							)->		str:
      '''simple docstring'''


      if len(_a							) > block_size:
            return sequence[:block_size]
      else:
            sequence.extend([pad_token_id] * (block_size - len(_a							))							)
            return sequence



def   snake_case						(				_a:     str		,   _a:     List[Any]							)->		int:
      '''simple docstring'''


      lowerCamelCase__           =		torch.ones_like(_a							)
      lowerCamelCase__           =		sequence == pad_token_id
      lowerCamelCase__           =		0
      return mask



def   snake_case						(				_a:     Any		,   _a:     Tuple		,   _a:     Optional[int]							)->		int:
      '''simple docstring'''


      lowerCamelCase__           =		[tokenizer.encode(_a							) for line in story_lines]
      lowerCamelCase__           =		[token for sentence in story_lines_token_ids for token in sentence]
      lowerCamelCase__           =		[tokenizer.encode(_a							) for line in summary_lines]
      lowerCamelCase__           =		[token for sentence in summary_lines_token_ids for token in sentence]

      return story_token_ids, summary_token_ids






def   snake_case						(				_a:     int		,   _a:     str							)->		List[str]:
      '''simple docstring'''


      lowerCamelCase__           =		[]
      for sequence in batch:
            lowerCamelCase__           =		-1
            lowerCamelCase__           =		[]
            for s in sequence:
                  if s == separator_token_id:
                        sentence_num += 1
                  embeddings.append(sentence_num % 2							)
            batch_embeddings.append(_a							)
      return torch.tensor(_a							)







"""simple docstring"""


def   snake_case						(				_a:     int							)->		int:
      '''simple docstring'''


      lowerCamelCase__           =		1
      for i in range(1		,   num + 1							):
            fact *= i
      return fact



def   snake_case						(				_a:     int							)->		int:
      '''simple docstring'''


      lowerCamelCase__           =		0
      while number > 0:
            lowerCamelCase__           =		number % 10
            sum_of_digits += last_digit
            lowerCamelCase__           =		number // 10  # Removing the last_digit from the given number
      return sum_of_digits



def   snake_case						(				_a:     int = 100							)->		int:
      '''simple docstring'''


      lowerCamelCase__           =		factorial(_a							)
      lowerCamelCase__           =		split_and_add(_a							)
      return result


if __name__ == "__main__":
   print(solution(int(input("Enter the Number: ").strip())))



