

import os
from collections import deque

import torch
from torch.utils.data import Dataset







class  lowercase				(       lowercase_			):




				def __init__(					self      ,   snake_case=""      ,   snake_case="train"       ):
											assert os.path.isdir(snake_case       )

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




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




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





def 					__lowerCamelCase	( UpperCamelCase__      ):







							'''simple docstring'''






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

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

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

							return story_lines, summary_lines





def 					__lowerCamelCase	( UpperCamelCase__      ):







							'''simple docstring'''






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





def 					__lowerCamelCase	( UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__      ):







							'''simple docstring'''






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





def 					__lowerCamelCase	( UpperCamelCase__   ,							UpperCamelCase__      ):







							'''simple docstring'''






							snake_case_							=    torch.ones_like(UpperCamelCase__      )
							snake_case_							=    sequence == pad_token_id
							snake_case_							=    0
							return mask





def 					__lowerCamelCase	( UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__      ):







							'''simple docstring'''






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

							return story_token_ids, summary_token_ids





def 					__lowerCamelCase	( UpperCamelCase__   ,							UpperCamelCase__      ):







							'''simple docstring'''






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







class  lowercase				:




				def __init__(					self      ,   snake_case      ,   snake_case      ,   snake_case       ):
											snake_case_							=    name
											snake_case_							=    value
											snake_case_							=    weight




				def __repr__(					self       ):
											return F'''{self.__class__.__name__}({self.name}, {self.value}, {self.weight})'''




				def     a							(					self       ):
											return self.value




				def     a							(					self       ):
											return self.name




				def     a							(					self       ):
											return self.weight




				def     a							(					self       ):
											return self.value / self.weight





def 					__lowerCamelCase	( UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__      ):







							'''simple docstring'''






							snake_case_							=    []
							for i in range(len(UpperCamelCase__      )      ):
														menu.append(Things(name[i]   ,							value[i]   ,							weight[i]      )      )
							return menu





def 					__lowerCamelCase	( UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__      ):







							'''simple docstring'''






							snake_case_							=    sorted(UpperCamelCase__   ,							key=UpperCamelCase__   ,							reverse=UpperCamelCase__      )
							snake_case_							=    []
							snake_case_				,    snake_case_							=    0.0, 0.0
							for i in range(len(UpperCamelCase__      )      ):
														if (total_cost + items_copy[i].get_weight()) <= max_cost:
																					result.append(items_copy[i]      )
																					total_cost += items_copy[i].get_weight()
																					total_value += items_copy[i].get_value()
							return (result, total_value)





def 					__lowerCamelCase	( ):







							'''simple docstring'''








if __name__ == "__main__":
					import doctest

					doctest.testmod()




