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_           =					process_story(snake_case )
											return document_name, story_lines, summary_lines





def       __lowerCamelCase			(				UpperCamelCase__   ):







							'''simple docstring'''






							snake_case_           =					list(filter(lambda UpperCamelCase__   : len(SCREAMING_SNAKE_CASE_   ) != 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(SCREAMING_SNAKE_CASE_   ) for line in nonempty_lines]

							# gather article lines
							snake_case_           =					[]
							snake_case_           =					deque(SCREAMING_SNAKE_CASE_   )
							while True:
														try:
																					snake_case_           =					lines.popleft()
																					if element.startswith('@highlight'   ):
																												break
																					story_lines.append(SCREAMING_SNAKE_CASE_   )
														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'   )     ,							SCREAMING_SNAKE_CASE_   )   )

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





def       __lowerCamelCase			(				UpperCamelCase__     ,							UpperCamelCase__   ):







							'''simple docstring'''






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





def       __lowerCamelCase			(				UpperCamelCase__     ,							UpperCamelCase__     ,							UpperCamelCase__   ):







							'''simple docstring'''






							snake_case_           =					[tokenizer.encode(SCREAMING_SNAKE_CASE_   ) for line in story_lines]
							snake_case_           =					[token for sentence in story_lines_token_ids for token in sentence]
							snake_case_           =					[tokenizer.encode(SCREAMING_SNAKE_CASE_   ) 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(SCREAMING_SNAKE_CASE_   )
							return torch.tensor(SCREAMING_SNAKE_CASE_   )







def       __lowerCamelCase			(				UpperCamelCase__ = 50000000   ):







							'''simple docstring'''






							snake_case_           =					set()
							snake_case_           =					int((limit - 24) ** (1 / 2)   )

							snake_case_           =					set(range(3     ,							prime_square_limit + 1     ,							2   )   )
							primes.add(2   )
							for p in range(3     ,							prime_square_limit + 1     ,							2   ):
														if p not in primes:
																					continue
														primes.difference_update(set(range(p * p     ,							prime_square_limit + 1     ,							UpperCamelCase__   )   )   )

							for primea in primes:
														snake_case_           =					primea * primea
														for primea in primes:
																					snake_case_           =					primea * primea * primea
																					if square + cube >= limit - 16:
																												break
																					for primea in primes:
																												snake_case_           =					primea * primea * primea * primea
																												snake_case_           =					square + cube + tetr
																												if total >= limit:
																																			break
																												ret.add(UpperCamelCase__   )

							return len(UpperCamelCase__   )


if __name__ == "__main__":
					print(F'''{solution() = }''')




