


'''simple docstring'''

import os
from collections import deque

import torch
from torch.utils.data import Dataset
class     __lowerCAmelCase		(lowercase_	):





      '''simple docstring'''






      def __init__(self       :       Optional[Any]  ,		UpperCamelCase       :       Union[str, Any]=""  ,		UpperCamelCase       :       Optional[Any]="train"					):

             '''simple docstring'''







             assert os.path.isdir(UpperCamelCase					)

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



      def __len__(self       :       Any					):

             '''simple docstring'''







             return len(self.documents					)






      def __getitem__(self       :       Dict  ,		UpperCamelCase       :       List[Any]					):

             '''simple docstring'''







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






def _SCREAMING_SNAKE_CASE (A			)			->			str:






       """simple docstring"""







       lowercase__      =					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
       lowercase__      =					[_add_missing_period(A			) for line in nonempty_lines]

       # gather article lines
       lowercase__      =					[]
       lowercase__      =					deque(A			)
       while True:
              try:
                     lowercase__      =					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
       lowercase__      =					list(filter(lambda A			: not t.startswith('''@highlight'''			)    ,					A			)			)

       return story_lines, summary_lines

def _SCREAMING_SNAKE_CASE (A			)			->			Any:






       """simple docstring"""







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

def _SCREAMING_SNAKE_CASE (A    ,					A    ,					A			)			->			Tuple:






       """simple docstring"""







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

def _SCREAMING_SNAKE_CASE (A    ,					A			)			->			str:






       """simple docstring"""







       lowercase__      =					torch.ones_like(A			)
       lowercase__      =					sequence == pad_token_id
       lowercase__      =					0
       return mask

def _SCREAMING_SNAKE_CASE (A    ,					A    ,					A			)			->			Dict:






       """simple docstring"""







       lowercase__      =					[tokenizer.encode(A			) for line in story_lines]
       lowercase__      =					[token for sentence in story_lines_token_ids for token in sentence]
       lowercase__      =					[tokenizer.encode(A			) 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 _SCREAMING_SNAKE_CASE (A    ,					A			)			->			List[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(A			)
       return torch.tensor(A			)








'''simple docstring'''

from __future__ import annotations

from collections import deque
class     __lowerCAmelCase		:





      '''simple docstring'''






      def __init__(self       :       str  ,		UpperCamelCase       :       list[str]					):

             '''simple docstring'''







             lowercase__      =					[]
             self.adlist.append(
                 {'''value''': '''''', '''next_states''': [], '''fail_state''': 0, '''output''': []}					)

             for keyword in keywords:
                    self.add_keyword(UpperCamelCase					)
             self.set_fail_transitions()



      def  UpperCamelCase__						(self       :       Optional[int]  ,		UpperCamelCase       :       int  ,		UpperCamelCase       :       str					):

             '''simple docstring'''







             for state in self.adlist[current_state]["next_states"]:
                    if char == self.adlist[state]["value"]:
                           return state
             return None



      def  UpperCamelCase__						(self       :       Optional[Any]  ,		UpperCamelCase       :       str					):

             '''simple docstring'''







             lowercase__      =					0
             for character in keyword:
                    lowercase__      =					self.find_next_state(UpperCamelCase  ,		UpperCamelCase					)
                    if next_state is None:
                           self.adlist.append(
                               {
                                   '''value''': character,
                                   '''next_states''': [],
                                   '''fail_state''': 0,
                                   '''output''': [],
                               }					)
                           self.adlist[current_state]["next_states"].append(len(self.adlist					) - 1					)
                           lowercase__      =					len(self.adlist					) - 1
                    else:
                           lowercase__      =					next_state
             self.adlist[current_state]["output"].append(UpperCamelCase					)



      def  UpperCamelCase__						(self       :       List[str]					):

             '''simple docstring'''







             lowercase__      =					deque()
             for node in self.adlist[0]["next_states"]:
                    q.append(UpperCamelCase					)
                    lowercase__      =					0
             while q:
                    lowercase__      =					q.popleft()
                    for child in self.adlist[r]["next_states"]:
                           q.append(UpperCamelCase					)
                           lowercase__      =					self.adlist[r]['''fail_state''']
                           while (
                               self.find_next_state(UpperCamelCase  ,		self.adlist[child]['''value''']					) is None
                               and state != 0
                           ):
                                  lowercase__      =					self.adlist[state]['''fail_state''']
                           lowercase__      =					self.find_next_state(
                               UpperCamelCase  ,		self.adlist[child]['''value''']					)
                           if self.adlist[child]["fail_state"] is None:
                                  lowercase__      =					0
                           lowercase__      =					(
                               self.adlist[child]['''output''']
                               + self.adlist[self.adlist[child]['''fail_state''']]['''output''']
                           )






      def  UpperCamelCase__						(self       :       Optional[int]  ,		UpperCamelCase       :       str					):

             '''simple docstring'''







             lowercase__      =					{}  # returns a dict with keywords and list of its occurrences
             lowercase__      =					0
             for i in range(len(UpperCamelCase					)					):
                    while (
                        self.find_next_state(UpperCamelCase  ,		string[i]					) is None
                        and current_state != 0
                    ):
                           lowercase__      =					self.adlist[current_state]['''fail_state''']
                    lowercase__      =					self.find_next_state(UpperCamelCase  ,		string[i]					)
                    if next_state is None:
                           lowercase__      =					0
                    else:
                           lowercase__      =					next_state
                           for key in self.adlist[current_state]["output"]:
                                  if key not in result:
                                         lowercase__      =					[]
                                  result[key].append(i - len(UpperCamelCase					) + 1					)
             return result


if __name__ == "__main__":
 import doctest

 doctest.testmod()




