


import os
from collections import deque

import torch
from torch.utils.data import Dataset





class       A    (   a_ ):


							def __init__(self      ,				lowerCAmelCase=""      ,				lowerCAmelCase="train"					):
									assert os.path.isdir(_lowerCamelCase					)

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


							def __len__(self					):
									return len(self.documents					)







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







def        _lowerCamelCase(	lowercase__	)						->	int:

		'''simple docstring'''







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

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

		# gather article lines
		__lowercase=			[]
		__lowercase=			deque(__snake_case	)
		while True:
				try:
						__lowercase=			lines.popleft()
						if element.startswith('@highlight'	):
								break
						story_lines.append(__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
		__lowercase=			list(filter(lambda lowercase__	: not t.startswith('@highlight'	)   , __snake_case	)	)

		return story_lines, summary_lines







def        _lowerCamelCase(	lowercase__	)						->	Optional[Any]:

		'''simple docstring'''







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







def        _lowerCamelCase(	lowercase__   , lowercase__   , lowercase__	)						->	List[str]:

		'''simple docstring'''







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







def        _lowerCamelCase(	lowercase__   , lowercase__	)						->	Dict:

		'''simple docstring'''







		__lowercase=			torch.ones_like(__snake_case	)
		__lowercase=			sequence == pad_token_id
		__lowercase=			0
		return mask







def        _lowerCamelCase(	lowercase__   , lowercase__   , lowercase__	)						->	Tuple:

		'''simple docstring'''







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

		return story_token_ids, summary_token_ids







def        _lowerCamelCase(	lowercase__   , lowercase__	)						->	Optional[Any]:

		'''simple docstring'''







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














"""simple docstring"""



def 						_SCREAMING_SNAKE_CASE (    __snake_case			:  int = 4_00_00_00    ):





  '''simple docstring'''





  lowercase							    =       []
  lowercase    ,     lowercase							    =       0, 1
  while b <= n:
    if b % 2 == 0:
      even_fibs.append(__snake_case    )
    lowercase    ,     lowercase							    =       b, a + b
  return sum(__snake_case    )


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


