





'''simple docstring'''






import os
from collections import deque

import torch
from torch.utils.data import Dataset




class  UpperCAmelCase     (			snake_case_   ):




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

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




      def __len__(			self			: str  )				->      List[Any]:
            return len(self.documents  )




      def __getitem__(			self			: List[Any]			,			__snake_case			: Dict  )				->      Dict:
            _lowerCAmelCase							     =							self.documents[idx]
            _lowerCAmelCase							     =							document_path.split("""/"""  )[-1]
            with open(__snake_case			,			encoding="""utf-8"""  ) as source:
                  _lowerCAmelCase							     =							source.read()
                  _lowerCAmelCase     ,							_lowerCAmelCase							     =							process_story(__snake_case  )
            return document_name, story_lines, summary_lines




def    UpperCamelCase__      (		lowerCAmelCase  ):





      """simple docstring"""


      _lowerCAmelCase							     =							list(filter(lambda lowerCAmelCase  : len(lowerCAmelCase  ) != 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(lowerCAmelCase  ) for line in nonempty_lines]

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

      return story_lines, summary_lines
def    UpperCamelCase__      (		lowerCAmelCase  ):





      """simple docstring"""


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





      """simple docstring"""


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





      """simple docstring"""


      _lowerCAmelCase							     =							torch.ones_like(lowerCAmelCase  )
      _lowerCAmelCase							     =							sequence == pad_token_id
      _lowerCAmelCase							     =							0
      return mask
def    UpperCamelCase__      (		lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase  ):





      """simple docstring"""


      _lowerCAmelCase							     =							[tokenizer.encode(lowerCAmelCase  ) for line in story_lines]
      _lowerCAmelCase							     =							[token for sentence in story_lines_token_ids for token in sentence]
      _lowerCAmelCase							     =							[tokenizer.encode(lowerCAmelCase  ) 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    UpperCamelCase__      (		lowerCAmelCase							,	lowerCAmelCase  ):





      """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(lowerCAmelCase  )
      return torch.tensor(lowerCAmelCase  )







"""simple docstring"""






import warnings
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


lowerCAmelCase__  :  Optional[int]						     =	logging.get_logger(__name__)
class 				snake_case       ( __UpperCAmelCase				):




					"""simple docstring"""

					snake_case__				    = ["input_ids", "attention_mask"]







					def __init__(				self   :	Optional[int]    ,lowerCamelCase__   :	int="</s>"    ,lowerCamelCase__   :	str="<unk>"    ,lowerCamelCase__   :	Union[str, Any]="<pad>"    ,lowerCamelCase__   :	int=125    ,lowerCamelCase__   :	str=None    ,**lowerCamelCase__   :	Union[str, Any]    ,):
									# Add extra_ids to the special token list
									if extra_ids > 0 and additional_special_tokens is None:
													UpperCAmelCase__             =							[f'''<extra_id_{i}>''' for i in range(lowerCamelCase__			)]
									elif extra_ids > 0 and additional_special_tokens is not None:
													# Check that we have the right number of extra_id special tokens
													UpperCAmelCase__             =							len(set(filter(lambda lowerCamelCase__			: bool('extra_id' in str(lowerCamelCase__			)			)    ,lowerCamelCase__			)			)			)
													if extra_tokens != extra_ids:
																	raise ValueError(
																	    f'''Both extra_ids ({extra_ids}) and additional_special_tokens ({additional_special_tokens}) are'''
																	    ' provided to ByT5Tokenizer. In this case the additional_special_tokens must include the'
																	    ' extra_ids tokens'			)

									UpperCAmelCase__             =							AddedToken(lowerCamelCase__    ,lstrip=lowerCamelCase__    ,rstrip=lowerCamelCase__			) if isinstance(lowerCamelCase__    ,lowerCamelCase__			) else pad_token
									UpperCAmelCase__             =							AddedToken(lowerCamelCase__    ,lstrip=lowerCamelCase__    ,rstrip=lowerCamelCase__			) if isinstance(lowerCamelCase__    ,lowerCamelCase__			) else eos_token
									UpperCAmelCase__             =							AddedToken(lowerCamelCase__    ,lstrip=lowerCamelCase__    ,rstrip=lowerCamelCase__			) if isinstance(lowerCamelCase__    ,lowerCamelCase__			) else unk_token

									super().__init__(
									    eos_token=lowerCamelCase__    ,unk_token=lowerCamelCase__    ,pad_token=lowerCamelCase__    ,extra_ids=lowerCamelCase__    ,additional_special_tokens=lowerCamelCase__    ,**lowerCamelCase__    ,)

									UpperCAmelCase__             =							extra_ids

									UpperCAmelCase__             =							2**8  # utf is 8 bits

									# define special tokens dict
									UpperCAmelCase__             =							{
									    self.pad_token: 0,
									    self.eos_token: 1,
									    self.unk_token: 2,
									}
									UpperCAmelCase__             =							len(self.special_tokens_encoder			)
									UpperCAmelCase__             =							len(lowerCamelCase__			)
									for i, token in enumerate(lowerCamelCase__			):
													UpperCAmelCase__             =							self.vocab_size + i - n
									UpperCAmelCase__             =							{v: k for k, v in self.special_tokens_encoder.items()}







					@property
					def 		__lowerCAmelCase						(				self   :	Union[str, Any]			):
									return self._utf_vocab_size + self._num_special_tokens + self._extra_ids







					def 		__lowerCAmelCase						(				self   :	Optional[Any]    ,lowerCamelCase__   :	List[int]    ,lowerCamelCase__   :	Optional[List[int]] = None    ,lowerCamelCase__   :	bool = False			):
									if already_has_special_tokens:
													return super().get_special_tokens_mask(
													    token_ids_a=lowerCamelCase__    ,token_ids_a=lowerCamelCase__    ,already_has_special_tokens=lowerCamelCase__			)

									# normal case: some special tokens
									if token_ids_a is None:
													return ([0] * len(lowerCamelCase__			)) + [1]
									return ([0] * len(lowerCamelCase__			)) + [1] + ([0] * len(lowerCamelCase__			)) + [1]







					def 		__lowerCAmelCase						(				self   :	str    ,lowerCamelCase__   :	List[int]			):
									if len(lowerCamelCase__			) > 0 and token_ids[-1] == self.eos_token_id:
													warnings.warn(
													    f'''This sequence already has {self.eos_token}. In future versions this behavior may lead to duplicated'''
													    ' eos tokens being added.'			)
													return token_ids
									else:
													return token_ids + [self.eos_token_id]







					def 		__lowerCAmelCase						(				self   :	str    ,lowerCamelCase__   :	List[int]    ,lowerCamelCase__   :	Optional[List[int]] = None			):
									UpperCAmelCase__             =							[self.eos_token_id]

									if token_ids_a is None:
													return len(token_ids_a + eos			) * [0]
									return len(token_ids_a + eos + token_ids_a + eos			) * [0]







					def 		__lowerCAmelCase						(				self   :	Dict    ,lowerCamelCase__   :	List[int]    ,lowerCamelCase__   :	Optional[List[int]] = None			):
									UpperCAmelCase__             =							self._add_eos_if_not_present(lowerCamelCase__			)
									if token_ids_a is None:
													return token_ids_a
									else:
													UpperCAmelCase__             =							self._add_eos_if_not_present(lowerCamelCase__			)
													return token_ids_a + token_ids_a







					def 		__lowerCAmelCase						(				self   :	Optional[Any]    ,lowerCamelCase__   :	str			):
									UpperCAmelCase__             =							[chr(lowerCamelCase__			) for i in text.encode('utf-8'			)]
									return tokens







					def 		__lowerCAmelCase						(				self   :	List[Any]    ,lowerCamelCase__   :	str			):
									if token in self.special_tokens_encoder:
													UpperCAmelCase__             =							self.special_tokens_encoder[token]
									elif token in self.added_tokens_encoder:
													UpperCAmelCase__             =							self.added_tokens_encoder[token]
									elif len(lowerCamelCase__			) != 1:
													UpperCAmelCase__             =							self.unk_token_id
									else:
													UpperCAmelCase__             =							ord(lowerCamelCase__			) + self._num_special_tokens
									return token_id







					def 		__lowerCAmelCase						(				self   :	Union[str, Any]    ,lowerCamelCase__   :	Any			):
									if index in self.special_tokens_decoder:
													UpperCAmelCase__             =							self.special_tokens_decoder[index]
									else:
													UpperCAmelCase__             =							chr(index - self._num_special_tokens			)
									return token







					def 		__lowerCAmelCase						(				self   :	Optional[Any]    ,lowerCamelCase__   :	Union[str, Any]			):
									UpperCAmelCase__             =							b''
									for token in tokens:
													if token in self.special_tokens_decoder:
																	UpperCAmelCase__             =							self.special_tokens_decoder[token].encode('utf-8'			)
													elif token in self.added_tokens_decoder:
																	UpperCAmelCase__             =							self.special_tokens_decoder[token].encode('utf-8'			)
													elif token in self.special_tokens_encoder:
																	UpperCAmelCase__             =							token.encode('utf-8'			)
													elif token in self.added_tokens_encoder:
																	UpperCAmelCase__             =							token.encode('utf-8'			)
													else:
																	UpperCAmelCase__             =							bytes([ord(lowerCamelCase__			)]			)
													bstring += tok_string
									UpperCAmelCase__             =							bstring.decode('utf-8'    ,errors='ignore'			)
									return string







					def 		__lowerCAmelCase						(				self   :	str    ,lowerCamelCase__   :	str    ,lowerCamelCase__   :	Optional[str] = None			):
									return ()



