

from __future__ import annotations







class 					__lowercase  :





							"""simple docstring"""

							def __init__(					self    ,						__UpperCAmelCase = 0						)		->       int:
														A      :					Union[str, Any]      		=					key




							def       snake_case			(					self    ,						__UpperCAmelCase    ,						__UpperCAmelCase						)		->       int:
														assert isinstance(snake_case_    ,						snake_case_						) and isinstance(snake_case_    ,						snake_case_						)

														A      :					Union[str, Any]      		=					key or self.__key or 1

														# make sure key is an appropriate size
														key %= 2_55

														return [chr(ord(snake_case_						) ^ key						) for ch in content]




							def       snake_case			(					self    ,						__UpperCAmelCase    ,						__UpperCAmelCase						)		->       List[Any]:
														assert isinstance(snake_case_    ,						snake_case_						) and isinstance(snake_case_    ,						snake_case_						)

														A      :					Tuple      		=					key or self.__key or 1

														# make sure key is an appropriate size
														key %= 2_55

														return [chr(ord(snake_case_						) ^ key						) for ch in content]




							def       snake_case			(					self    ,						__UpperCAmelCase    ,						__UpperCAmelCase = 0						)		->       str:
														assert isinstance(snake_case_    ,						snake_case_						) and isinstance(snake_case_    ,						snake_case_						)

														A      :					List[str]      		=					key or self.__key or 1

														# make sure key can be any size
														while key > 2_55:
																					key -= 2_55

														# This will be returned
														A      :					Any      		=					""""""

														for ch in content:
																					ans += chr(ord(snake_case_						) ^ key						)

														return ans




							def       snake_case			(					self    ,						__UpperCAmelCase    ,						__UpperCAmelCase = 0						)		->       Tuple:
														assert isinstance(snake_case_    ,						snake_case_						) and isinstance(snake_case_    ,						snake_case_						)

														A      :					Tuple      		=					key or self.__key or 1

														# make sure key can be any size
														while key > 2_55:
																					key -= 2_55

														# This will be returned
														A      :					List[str]      		=					""""""

														for ch in content:
																					ans += chr(ord(snake_case_						) ^ key						)

														return ans




							def       snake_case			(					self    ,						__UpperCAmelCase    ,						__UpperCAmelCase = 0						)		->       List[Any]:
														assert isinstance(snake_case_    ,						snake_case_						) and isinstance(snake_case_    ,						snake_case_						)

														try:
																					with open(snake_case_						) as fin, open('''encrypt.out'''    ,						'''w+'''						) as fout:
																												# actual encrypt-process
																												for line in fin:
																																			fout.write(self.encrypt_string(snake_case_    ,						snake_case_						)						)

														except OSError:
																					return False

														return True






							def       snake_case			(					self    ,						__UpperCAmelCase    ,						__UpperCAmelCase						)		->       Union[str, Any]:
														assert isinstance(snake_case_    ,						snake_case_						) and isinstance(snake_case_    ,						snake_case_						)

														try:
																					with open(snake_case_						) as fin, open('''decrypt.out'''    ,						'''w+'''						) as fout:
																												# actual encrypt-process
																												for line in fin:
																																			fout.write(self.decrypt_string(snake_case_    ,						snake_case_						)						)

														except OSError:
																					return False

														return True


# Tests
# crypt = XORCipher()
# key = 67

# # test encrypt
# print(crypt.encrypt("hallo welt",key))
# # test decrypt
# print(crypt.decrypt(crypt.encrypt("hallo welt",key), key))

# # test encrypt_string
# print(crypt.encrypt_string("hallo welt",key))

# # test decrypt_string
# print(crypt.decrypt_string(crypt.encrypt_string("hallo welt",key),key))

# if (crypt.encrypt_file("test.txt",key)):
#       print("encrypt successful")
# else:
#       print("encrypt unsuccessful")

# if (crypt.decrypt_file("encrypt.out",key)):
#       print("decrypt successful")
# else:
#       print("decrypt unsuccessful")







"""simple docstring"""



import os
from collections import deque

import torch
from torch.utils.data import Dataset
class 						__UpperCAmelCase    (__A     ):







			'''simple docstring'''





			def __init__(			self   ,      snake_case_=""   ,      snake_case_="train"							):







										'''simple docstring'''


										assert os.path.isdir(snake_case_							)

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





			def __len__(			self							):







										'''simple docstring'''


										return len(self.documents							)





			def __getitem__(			self   ,      snake_case_							):







										'''simple docstring'''


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





def  _A(		lowerCAmelCase							):
							A__       :     Optional[int]								=			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
							A__       :     List[str]								=			[_add_missing_period(lowerCAmelCase							) for line in nonempty_lines]

							# gather article lines
							A__       :     Union[str, Any]								=			[]
							A__       :     Optional[Any]								=			deque(lowerCAmelCase							)
							while True:
														try:
																					A__       :     List[str]								=			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
							A__       :     List[str]								=			list(filter(lambda lowerCAmelCase							: not t.startswith("""@highlight"""							)			,  lowerCAmelCase							)							)

							return story_lines, summary_lines

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

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

def  _A(		lowerCAmelCase			,  lowerCAmelCase							):
							A__       :     Any								=			torch.ones_like(lowerCAmelCase							)
							A__       :     Any								=			sequence == pad_token_id
							A__       :     Any								=			0
							return mask

def  _A(		lowerCAmelCase			,  lowerCAmelCase			,  lowerCAmelCase							):
							A__       :     Dict								=			[tokenizer.encode(lowerCAmelCase							) for line in story_lines]
							A__       :     Any								=			[token for sentence in story_lines_token_ids for token in sentence]
							A__       :     List[str]								=			[tokenizer.encode(lowerCAmelCase							) for line in summary_lines]
							A__       :     int								=			[token for sentence in summary_lines_token_ids for token in sentence]

							return story_token_ids, summary_token_ids



def  _A(		lowerCAmelCase			,  lowerCAmelCase							):
							A__       :     str								=			[]
							for sequence in batch:
														A__       :     List[Any]								=			-1
														A__       :     Dict								=			[]
														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							)





