import os
from collections import deque

import torch
from torch.utils.data import Dataset


class 	lowerCamelCase_     (   UpperCAmelCase_ ):






    '''simple docstring'''






    def __init__(	self , __lowercase="" , __lowercase="train")       ->	Dict:
        assert os.path.isdir(__lowercase)

        __UpperCamelCase     :Any			  =		[]
        __UpperCamelCase     :Optional[Any]			  =		os.listdir(__lowercase)
        for story_filename in story_filenames_list:
            if "summary" in story_filename:
                continue
            __UpperCamelCase     :Dict			  =		os.path.join(__lowercase , __lowercase)
            if not os.path.isfile(__lowercase):
                continue
            self.documents.append(__lowercase)







    def __len__(	self)       ->	List[Any]:
        return len(self.documents)







    def __getitem__(	self , __lowercase)       ->	Union[str, Any]:
        __UpperCamelCase     :List[Any]			  =		self.documents[idx]
        __UpperCamelCase     :List[Any]			  =		document_path.split('''/''')[-1]
        with open(__lowercase , encoding='''utf-8''') as source:
            __UpperCamelCase     :int			  =		source.read()
            __UpperCamelCase  ,       __UpperCamelCase     :int			  =		process_story(__lowercase)
        return document_name, story_lines, summary_lines



def lowerCamelCase  (   SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







    __UpperCamelCase     :List[Any]			  =		list(filter(lambda SCREAMING_SNAKE_CASE	: len(SCREAMING_SNAKE_CASE	) != 0  ,			[line.strip() for line in raw_story.split('''\n'''	)]	)	)

    # for some unknown reason some lines miss a period, add it
    __UpperCamelCase     :Tuple			  =		[_add_missing_period(SCREAMING_SNAKE_CASE	) for line in nonempty_lines]

    # gather article lines
    __UpperCamelCase     :Dict			  =		[]
    __UpperCamelCase     :Tuple			  =		deque(SCREAMING_SNAKE_CASE	)
    while True:
        try:
            __UpperCamelCase     :Optional[int]			  =		lines.popleft()
            if element.startswith('''@highlight'''	):
                break
            story_lines.append(SCREAMING_SNAKE_CASE	)
        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
    __UpperCamelCase     :Optional[int]			  =		list(filter(lambda SCREAMING_SNAKE_CASE	: not t.startswith('''@highlight'''	)  ,			SCREAMING_SNAKE_CASE	)	)

    return story_lines, summary_lines



def lowerCamelCase  (   SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







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



def lowerCamelCase  (   SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







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



def lowerCamelCase  (   SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







    __UpperCamelCase     :Union[str, Any]			  =		torch.ones_like(SCREAMING_SNAKE_CASE	)
    __UpperCamelCase     :str			  =		sequence == pad_token_id
    __UpperCamelCase     :str			  =		0
    return mask



def lowerCamelCase  (   SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







    __UpperCamelCase     :List[str]			  =		[tokenizer.encode(SCREAMING_SNAKE_CASE	) for line in story_lines]
    __UpperCamelCase     :Tuple			  =		[token for sentence in story_lines_token_ids for token in sentence]
    __UpperCamelCase     :List[str]			  =		[tokenizer.encode(SCREAMING_SNAKE_CASE	) for line in summary_lines]
    __UpperCamelCase     :List[Any]			  =		[token for sentence in summary_lines_token_ids for token in sentence]

    return story_token_ids, summary_token_ids



def lowerCamelCase  (   SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







    __UpperCamelCase     :Dict			  =		[]
    for sequence in batch:
        __UpperCamelCase     :Union[str, Any]			  =		-1
        __UpperCamelCase     :List[Any]			  =		[]
        for s in sequence:
            if s == separator_token_id:
                sentence_num += 1
            embeddings.append(sentence_num % 2	)
        batch_embeddings.append(SCREAMING_SNAKE_CASE	)
    return torch.tensor(SCREAMING_SNAKE_CASE	)









"""simple docstring"""







from itertools import permutations


def      lowercase			(				A_       )->      bool:
  '''simple docstring'''







  if num[3] % 2 != 0:
    return False

  if (num[2] + num[3] + num[4]) % 3 != 0:
    return False

  if num[5] % 5 != 0:
    return False

  a						:		Optional[int]      							=			[7, 11, 13, 17]
  for i, test in enumerate(A_       ):
    if (num[i + 4] * 100 + num[i + 5] * 10 + num[i + 6]) % test != 0:
      return False
  return True


def      lowercase			(				A_ = 10       )->      int:
  '''simple docstring'''







  return sum(
      int("".join(map(A_  ,   A_       )       )       )
      for num in permutations(range(A_       )       )
      if is_substring_divisible(A_       )       )


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






