


"""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"""


from collections.abc import Iterator, MutableMapping
from dataclasses import dataclass
from typing import Generic, TypeVar

_snake_case          =							TypeVar("KEY")
_snake_case          =							TypeVar("VAL")



@dataclass(frozen=SCREAMING_SNAKE_CASE_		,		slots=SCREAMING_SNAKE_CASE_ )
class   _a      (      Generic[KEY, VAL] ):
    a_    :				KEY
    a_    :				VAL





class   _a      (      _Item ):
    def __init__( self							:					List[str]				):
          super().__init__(SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__				)


    def __bool__( self							:					str				):
          return False





_snake_case          =							_DeletedItem()



class   _a      (      MutableMapping[KEY, VAL] ):
    def __init__( self							:					Optional[Any]							,					SCREAMING_SNAKE_CASE__							:					int = 8							,					SCREAMING_SNAKE_CASE__							:					float = 0.75				):
          lowerCamelCase__           =		initial_block_size
          lowerCamelCase__           =		[None] * initial_block_size
          assert 0.0 < capacity_factor < 1.0
          lowerCamelCase__           =		capacity_factor
          lowerCamelCase__           =		0
    def      _UpperCamelCase       ( self							:					Optional[int]							,					SCREAMING_SNAKE_CASE__							:					KEY				):
          return hash(SCREAMING_SNAKE_CASE__				) % len(self._buckets				)
    def      _UpperCamelCase       ( self							:					str							,					SCREAMING_SNAKE_CASE__							:					int				):
          return (ind + 1) % len(self._buckets				)
    def      _UpperCamelCase       ( self							:					Union[str, Any]							,					SCREAMING_SNAKE_CASE__							:					int							,					SCREAMING_SNAKE_CASE__							:					KEY							,					SCREAMING_SNAKE_CASE__							:					VAL				):
          lowerCamelCase__           =		self._buckets[ind]
          if not stored:
                lowerCamelCase__           =		_Item(SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__				)
                self._len += 1
                return True
          elif stored.key == key:
                lowerCamelCase__           =		_Item(SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__				)
                return True
          else:
                return False
    def      _UpperCamelCase       ( self							:					Dict				):
          lowerCamelCase__           =		len(self._buckets				) * self._capacity_factor
          return len(self				) >= int(SCREAMING_SNAKE_CASE__				)
    def      _UpperCamelCase       ( self							:					int				):
          if len(self._buckets				) <= self._initial_block_size:
                return False
          lowerCamelCase__           =		len(self._buckets				) * self._capacity_factor / 2
          return len(self				) < limit
    def      _UpperCamelCase       ( self							:					List[str]							,					SCREAMING_SNAKE_CASE__							:					int				):
          lowerCamelCase__           =		self._buckets
          lowerCamelCase__           =		[None] * new_size
          lowerCamelCase__           =		0
          for item in old_buckets:
                if item:
                      self._add_item(item.key							,					item.val				)
    def      _UpperCamelCase       ( self							:					List[str]				):
          self._resize(len(self._buckets				) * 2				)
    def      _UpperCamelCase       ( self							:					Optional[int]				):
          self._resize(len(self._buckets				) // 2				)
    def      _UpperCamelCase       ( self							:					Any							,					SCREAMING_SNAKE_CASE__							:					KEY				):
          lowerCamelCase__           =		self._get_bucket_index(SCREAMING_SNAKE_CASE__				)
          for _ in range(len(self._buckets				)				):
                yield ind
                lowerCamelCase__           =		self._get_next_ind(SCREAMING_SNAKE_CASE__				)
    def      _UpperCamelCase       ( self							:					Optional[Any]							,					SCREAMING_SNAKE_CASE__							:					KEY							,					SCREAMING_SNAKE_CASE__							:					VAL				):
          for ind in self._iterate_buckets(SCREAMING_SNAKE_CASE__				):
                if self._try_set(SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__				):
                      break
    def __setitem__( self							:					Dict							,					SCREAMING_SNAKE_CASE__							:					KEY							,					SCREAMING_SNAKE_CASE__							:					VAL				):
          if self._is_full():
                self._size_up()

          self._add_item(SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__				)
    def __delitem__( self							:					Dict							,					SCREAMING_SNAKE_CASE__							:					KEY				):
          for ind in self._iterate_buckets(SCREAMING_SNAKE_CASE__				):
                lowerCamelCase__           =		self._buckets[ind]
                if item is None:
                      raise KeyError(SCREAMING_SNAKE_CASE__				)
                if item is _deleted:
                      continue
                if item.key == key:
                      lowerCamelCase__           =		_deleted
                      self._len -= 1
                      break
          if self._is_sparse():
                self._size_down()
    def __getitem__( self							:					str							,					SCREAMING_SNAKE_CASE__							:					KEY				):
          for ind in self._iterate_buckets(SCREAMING_SNAKE_CASE__				):
                lowerCamelCase__           =		self._buckets[ind]
                if item is None:
                      break
                if item is _deleted:
                      continue
                if item.key == key:
                      return item.val
          raise KeyError(SCREAMING_SNAKE_CASE__				)
    def __len__( self							:					List[Any]				):
          return self._len
    def __iter__( self							:					Optional[int]				):
          yield from (item.key for item in self._buckets if item)


    def __repr__( self							:					str				):
          lowerCamelCase__           =		' ,'.join(
              F'{item.key}: {item.val}' for item in self._buckets if item				)
          return F'HashMap({val_string})'



