





'''simple docstring'''
import os
from collections import deque

import torch
from torch.utils.data import Dataset

class      snake_case     (    __lowerCamelCase       ):




 """simple docstring"""



 def __init__(       self       :							Union[str, Any]							,	__A       :							List[str]=""							,	__A       :							List[Any]="train"	):
        assert os.path.isdir(__A	)

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






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






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






def 				lowercase__   (   __lowercase						:  Optional[int]     ) ->      Optional[Any]:



       """simple docstring"""






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

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

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

       return story_lines, summary_lines
def 				lowercase__   (   __lowercase						:  int     ) ->      List[str]:



       """simple docstring"""






       __UpperCamelCase       =  ['.', '!', '?', '...', '\'', '`', '"', '\u2019', '\u2019', ')']
       if line.startswith('@highlight'     ):
              return line
       if line[-1] in END_TOKENS:
              return line
       return line + "."
def 				lowercase__   (   __lowercase						:  str				,  __lowercase						:  List[Any]				,  __lowercase						:  Union[str, Any]     ) ->      Dict:



       """simple docstring"""






       if len(__lowercase     ) > block_size:
              return sequence[:block_size]
       else:
              sequence.extend([pad_token_id] * (block_size - len(__lowercase     ))     )
              return sequence
def 				lowercase__   (   __lowercase						:  List[Any]				,  __lowercase						:  int     ) ->      Optional[Any]:



       """simple docstring"""






       __UpperCamelCase       =  torch.ones_like(__lowercase     )
       __UpperCamelCase       =  sequence == pad_token_id
       __UpperCamelCase       =  0
       return mask
def 				lowercase__   (   __lowercase						:  Optional[int]				,  __lowercase						:  int				,  __lowercase						:  Union[str, Any]     ) ->      Optional[int]:



       """simple docstring"""






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

       return story_token_ids, summary_token_ids


def 				lowercase__   (   __lowercase						:  Dict				,  __lowercase						:  Union[str, Any]     ) ->      str:



       """simple docstring"""






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





"""simple docstring"""

from functools import lru_cache




@lru_cache
def __lowercase			(							_a    ):
    if num < 0:
        raise ValueError('''Number should not be negative.'''    )

    return 1 if num in (0, 1) else num * factorial(num - 1    )


if __name__ == "__main__":
     import doctest

     doctest.testmod()





