

import os
from collections import deque

import torch
from torch.utils.data import Dataset






class _UpperCamelCase							(							__A   ):
			'''simple docstring'''







			def __init__(			self							: List[str]      ,      a							: Tuple=""      ,      a							: int="train"	)							->       Union[str, Any]:

				"""simple docstring"""

				assert os.path.isdir(a	)

				SCREAMING_SNAKE_CASE   :      List[str]				     =       []
				SCREAMING_SNAKE_CASE   :      List[str]				     =       os.listdir(a	)
				for story_filename in story_filenames_list:
					if "summary" in story_filename:
						continue
					SCREAMING_SNAKE_CASE   :      List[str]				     =       os.path.join(a      ,      a	)
					if not os.path.isfile(a	):
						continue
					self.documents.append(a	)
			def __len__(			self							: List[Any]	)							->       List[str]:

				"""simple docstring"""

				return len(self.documents	)






			def __getitem__(			self							: Dict      ,      a							: Tuple	)							->       List[Any]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Dict				     =       self.documents[idx]
				SCREAMING_SNAKE_CASE   :      List[Any]				     =       document_path.split("/"	)[-1]
				with open(a      ,      encoding="utf-8"	) as source:
					SCREAMING_SNAKE_CASE   :      Optional[int]				     =       source.read()
					SCREAMING_SNAKE_CASE     ,SCREAMING_SNAKE_CASE   :      List[str]				     =       process_story(a	)
				return document_name, story_lines, summary_lines

def  lowerCamelCase__ (					_a):
	SCREAMING_SNAKE_CASE   :      str				     =       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
	SCREAMING_SNAKE_CASE   :      Any				     =       [_add_missing_period(_a) for line in nonempty_lines]

	# gather article lines
	SCREAMING_SNAKE_CASE   :      str				     =       []
	SCREAMING_SNAKE_CASE   :      List[str]				     =       deque(_a)
	while True:
		try:
			SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       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
	SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       list(filter(lambda _a: not t.startswith("@highlight")							,			_a))

	return story_lines, summary_lines

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

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

def  lowerCamelCase__ (					_a							,			_a):
	SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       torch.ones_like(_a)
	SCREAMING_SNAKE_CASE   :      List[str]				     =       sequence == pad_token_id
	SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       0
	return mask

def  lowerCamelCase__ (					_a							,			_a							,			_a):
	SCREAMING_SNAKE_CASE   :      List[str]				     =       [tokenizer.encode(_a) for line in story_lines]
	SCREAMING_SNAKE_CASE   :      Any				     =       [token for sentence in story_lines_token_ids for token in sentence]
	SCREAMING_SNAKE_CASE   :      Any				     =       [tokenizer.encode(_a) for line in summary_lines]
	SCREAMING_SNAKE_CASE   :      str				     =       [token for sentence in summary_lines_token_ids for token in sentence]

	return story_token_ids, summary_token_ids


def  lowerCamelCase__ (					_a							,			_a):
	SCREAMING_SNAKE_CASE   :      List[str]				     =       []
	for sequence in batch:
		SCREAMING_SNAKE_CASE   :      List[Any]				     =       -1
		SCREAMING_SNAKE_CASE   :      List[Any]				     =       []
		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)


class _UpperCamelCase							:
			'''simple docstring'''







			def __init__(			self							: Optional[Any]      ,      a							: int	)							->       None:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Tuple				     =       size
				SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       [0] * size
				SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       [0] * size
			@staticmethod
			def 							__UpperCamelCase (			a							: int	)							->       int:

				"""simple docstring"""

				return index | (index + 1)
			@staticmethod
			def 							__UpperCamelCase (			a							: int	)							->       int:

				"""simple docstring"""

				return (index & (index + 1)) - 1
			def 							__UpperCamelCase (			self							: Any      ,      a							: int      ,      a							: int	)							->       None:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       value
				while index < self.size:
					SCREAMING_SNAKE_CASE   :      Dict				     =       self.get_prev(a	) + 1
					if current_left_border == index:
						SCREAMING_SNAKE_CASE   :      Optional[int]				     =       value
					else:
						SCREAMING_SNAKE_CASE   :      Tuple				     =       max(a      ,      a      ,      a	)
					SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       self.get_next(a	)






			def 							__UpperCamelCase (			self							: Optional[int]      ,      a							: int      ,      a							: int	)							->       int:

				"""simple docstring"""

				right -= 1  # Because of right is exclusive
				SCREAMING_SNAKE_CASE   :      Optional[int]				     =       0
				while left <= right:
					SCREAMING_SNAKE_CASE   :      List[Any]				     =       self.get_prev(a	)
					if left <= current_left:
						SCREAMING_SNAKE_CASE   :      List[Any]				     =       max(a      ,      self.tree[right]	)
						SCREAMING_SNAKE_CASE   :      str				     =       current_left
					else:
						SCREAMING_SNAKE_CASE   :      List[str]				     =       max(a      ,      self.arr[right]	)
						right -= 1
				return result


if __name__ == "__main__":
			import doctest

			doctest.testmod()