


"""simple docstring"""





import os
from collections import deque

import torch
from torch.utils.data import Dataset



class 		snake_case_(       lowerCamelCase__			):






     def __init__(	self  :					Optional[Any]					,				UpperCamelCase_  :					int=""					,				UpperCamelCase_  :					List[Any]="train"				):
           assert os.path.isdir(__lowerCamelCase				)

           lowerCAmelCase					:	Union[str, Any]       =   []
           lowerCAmelCase					:	List[str]       =   os.listdir(__lowerCamelCase				)
           for story_filename in story_filenames_list:
                 if "summary" in story_filename:
                       continue
                 lowerCAmelCase					:	int       =   os.path.join(__lowerCamelCase					,				__lowerCamelCase				)
                 if not os.path.isfile(__lowerCamelCase				):
                       continue
                 self.documents.append(__lowerCamelCase				)






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






     def __getitem__(	self  :					Optional[Any]					,				UpperCamelCase_  :					Tuple				):
           lowerCAmelCase					:	Tuple       =   self.documents[idx]
           lowerCAmelCase					:	str       =   document_path.split('''/'''				)[-1]
           with open(__lowerCamelCase					,				encoding='''utf-8'''				) as source:
                 lowerCAmelCase					:	Dict       =   source.read()
                 lowerCAmelCase					:	Union[str, Any]       =   process_story(__lowerCamelCase				)
           return document_name, story_lines, summary_lines



def      _snake_case						(						_snake_case				:			Optional[int]			):
      lowerCAmelCase					:	Any       =   list(filter(lambda _snake_case			: len(lowerCamelCase_			) != 0 ,   [line.strip() for line in raw_story.split('''\n'''			)]			)			)

      # for some unknown reason some lines miss a period, add it
      lowerCAmelCase					:	Optional[int]       =   [_add_missing_period(lowerCamelCase_			) for line in nonempty_lines]

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

      return story_lines, summary_lines


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


def      _snake_case						(						_snake_case				:			Tuple ,   _snake_case				:			List[Any] ,   _snake_case				:			Dict			):

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


def      _snake_case						(						_snake_case				:			int ,   _snake_case				:			Optional[Any]			):
      lowerCAmelCase					:	List[Any]       =   torch.ones_like(lowerCamelCase_			)
      lowerCAmelCase					:	Any       =   sequence == pad_token_id
      lowerCAmelCase					:	List[str]       =   0
      return mask


def      _snake_case						(						_snake_case				:			Any ,   _snake_case				:			Any ,   _snake_case				:			Tuple			):
      lowerCAmelCase					:	Optional[Any]       =   [tokenizer.encode(lowerCamelCase_			) for line in story_lines]
      lowerCAmelCase					:	Union[str, Any]       =   [token for sentence in story_lines_token_ids for token in sentence]
      lowerCAmelCase					:	Tuple       =   [tokenizer.encode(lowerCamelCase_			) for line in summary_lines]
      lowerCAmelCase					:	List[Any]       =   [token for sentence in summary_lines_token_ids for token in sentence]

      return story_token_ids, summary_token_ids






def      _snake_case						(						_snake_case				:			int ,   _snake_case				:			str			):
      lowerCAmelCase					:	Tuple       =   []
      for sequence in batch:
            lowerCAmelCase					:	str       =   -1
            lowerCAmelCase					:	Tuple       =   []
            for s in sequence:
                  if s == separator_token_id:
                        sentence_num += 1
                  embeddings.append(sentence_num % 2			)
            batch_embeddings.append(lowerCamelCase_			)
      return torch.tensor(lowerCamelCase_			)









"""simple docstring"""





from __future__ import annotations

from typing import Any



class 		snake_case_(       a__			):
     pass



class 		snake_case_:






     def __init__(	self  :					Any					,				UpperCamelCase_  :					Any				):
           lowerCAmelCase					:	Any       =   data
           lowerCAmelCase					:	Node | None       =   None






     def __iter__(	self  :					int				):
           lowerCAmelCase					:	Any       =   self
           lowerCAmelCase					:	Union[str, Any]       =   []
           while node:
                 if node in visited:
                       raise ContainsLoopError
                 visited.append(UpperCamelCase_				)
                 yield node.data
                 lowerCAmelCase					:	Optional[int]       =   node.next_node






     @property
     def      lowerCamelCase__     (	self  :					str				):
           try:
                 list(self				)
                 return False
           except ContainsLoopError:
                 return True


if __name__ == "__main__":
 snake_case__		:     Dict    				=				Node(1)
 snake_case__		:     Any    				=				Node(2)
 snake_case__		:     int    				=				Node(3)
 snake_case__		:     Any    				=				Node(4)
 print(root_node.has_loop)  # False
 snake_case__		:     Tuple    				=				root_node.next_node
 print(root_node.has_loop)  # True

 snake_case__		:     List[Any]    				=				Node(5)
 snake_case__		:     int    				=				Node(6)
 snake_case__		:     List[Any]    				=				Node(5)
 snake_case__		:     Dict    				=				Node(6)
 print(root_node.has_loop)  # False

 snake_case__		:     Any    				=				Node(1)
 print(root_node.has_loop)  # False


