


import os
from collections import deque

import torch
from torch.utils.data import Dataset



class 						_UpperCAmelCase      (     lowercase							):






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

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






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







		def __getitem__(						self				:     Any   ,  UpperCAmelCase				:     List[str]):
				SCREAMING_SNAKE_CASE_				:List[Any]				     =						self.documents[idx]
				SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						document_path.split("/")[-1]
				with open(UpperCAmelCase   ,  encoding="utf-8") as source:
						SCREAMING_SNAKE_CASE_				:Optional[Any]				     =						source.read()
						SCREAMING_SNAKE_CASE_     ,				SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						process_story(UpperCAmelCase)
				return document_name, story_lines, summary_lines




def     lowercase	(    a ):



		'''simple docstring'''




		SCREAMING_SNAKE_CASE_				:Optional[Any]				     =						list(filter(lambda a : len(a ) != 0     , [line.strip() for line in raw_story.split("\n" )] ) )

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

		# gather article lines
		SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						[]
		SCREAMING_SNAKE_CASE_				:Any				     =						deque(a )
		while True:
				try:
						SCREAMING_SNAKE_CASE_				:int				     =						lines.popleft()
						if element.startswith("@highlight" ):
								break
						story_lines.append(a )
				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
		SCREAMING_SNAKE_CASE_				:Optional[int]				     =						list(filter(lambda a : not t.startswith("@highlight" )     , a ) )

		return story_lines, summary_lines


def     lowercase	(    a ):



		'''simple docstring'''




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


def     lowercase	(    a     , a     , a ):



		'''simple docstring'''




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


def     lowercase	(    a     , a ):



		'''simple docstring'''




		SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						torch.ones_like(a )
		SCREAMING_SNAKE_CASE_				:Tuple				     =						sequence == pad_token_id
		SCREAMING_SNAKE_CASE_				:int				     =						0
		return mask


def     lowercase	(    a     , a     , a ):



		'''simple docstring'''




		SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						[tokenizer.encode(a ) for line in story_lines]
		SCREAMING_SNAKE_CASE_				:List[str]				     =						[token for sentence in story_lines_token_ids for token in sentence]
		SCREAMING_SNAKE_CASE_				:Tuple				     =						[tokenizer.encode(a ) for line in summary_lines]
		SCREAMING_SNAKE_CASE_				:Optional[Any]				     =						[token for sentence in summary_lines_token_ids for token in sentence]

		return story_token_ids, summary_token_ids


def     lowercase	(    a     , a ):



		'''simple docstring'''




		SCREAMING_SNAKE_CASE_				:str				     =						[]
		for sequence in batch:
				SCREAMING_SNAKE_CASE_				:Optional[int]				     =						-1
				SCREAMING_SNAKE_CASE_				:Optional[int]				     =						[]
				for s in sequence:
						if s == separator_token_id:
								sentence_num += 1
						embeddings.append(sentence_num % 2 )
				batch_embeddings.append(a )
		return torch.tensor(a )










from multiprocessing import Lock, Pipe, Process

# lock used to ensure that two processes do not access a pipe at the same time
SCREAMING_SNAKE_CASE__     					=			Lock()


def     lowercase	(    a     , a     , a     , a     , a     , a     , a ):



		'''simple docstring'''




		global process_lock

		# we perform n swaps since after n swaps we know we are sorted
		# we *could* stop early if we are sorted already, but it takes as long to
		# find out we are sorted as it does to sort the list with this algorithm
		for i in range(0     , 10 ):
				if (i + position) % 2 == 0 and r_send is not None:
						# send your value to your right neighbor
						process_lock.acquire()
						r_send[1].send(a )
						process_lock.release()

						# receive your right neighbor's value
						process_lock.acquire()
						SCREAMING_SNAKE_CASE_				:str				     =						rr_cv[0].recv()
						process_lock.release()

						# take the lower value since you are on the left
						SCREAMING_SNAKE_CASE_				:int				     =						min(a     , a )
				elif (i + position) % 2 != 0 and l_send is not None:
						# send your value to your left neighbor
						process_lock.acquire()
						l_send[1].send(a )
						process_lock.release()

						# receive your left neighbor's value
						process_lock.acquire()
						SCREAMING_SNAKE_CASE_				:int				     =						lr_cv[0].recv()
						process_lock.release()

						# take the higher value since you are on the right
						SCREAMING_SNAKE_CASE_				:Dict				     =						max(a     , a )
    # after all swaps are performed, send the values back to main
		result_pipe[1].send(a )


def     lowercase	(    a ):



		'''simple docstring'''




		SCREAMING_SNAKE_CASE_				:Tuple				     =						[]
		SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						[]
		# initialize the list of pipes where the values will be retrieved
		for _ in arr:
				result_pipe.append(Pipe() )
		# creates the processes
		# the first and last process only have one neighbor so they are made outside
		# of the loop
		SCREAMING_SNAKE_CASE_				:str				     =						Pipe()
		SCREAMING_SNAKE_CASE_				:Optional[Any]				     =						Pipe()
		process_array_.append(
		    Process(
		        target=a     , args=(0, arr[0], None, temp_rs, None, temp_rr, result_pipe[0])     , ) )
		SCREAMING_SNAKE_CASE_				:Optional[Any]				     =						temp_rs
		SCREAMING_SNAKE_CASE_				:Any				     =						temp_rr

		for i in range(1     , len(a ) - 1 ):
				SCREAMING_SNAKE_CASE_				:int				     =						Pipe()
				SCREAMING_SNAKE_CASE_				:Dict				     =						Pipe()
				process_array_.append(
				    Process(
				        target=a     , args=(i, arr[i], temp_ls, temp_rs, temp_lr, temp_rr, result_pipe[i])     , ) )
				SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						temp_rs
				SCREAMING_SNAKE_CASE_				:int				     =						temp_rr

		process_array_.append(
		    Process(
		        target=a     , args=(
		            len(a ) - 1,
		            arr[len(a ) - 1],
		            temp_ls,
		            None,
		            temp_lr,
		            None,
		            result_pipe[len(a ) - 1],
		        )     , ) )

		# start the processes
		for p in process_array_:
				p.start()

		# wait for the processes to end and write their values to the list
		for p in range(0     , len(a ) ):
				SCREAMING_SNAKE_CASE_				:Tuple				     =						result_pipe[p][0].recv()
				process_array_[p].join()
		return arr


def     lowercase	(    ):



		'''simple docstring'''




		SCREAMING_SNAKE_CASE_				:List[str]				     =						list(range(10     , 0     , -1 ) )
		print("Initial List" )
		print(*a )
		SCREAMING_SNAKE_CASE_				:int				     =						odd_even_transposition(a )
		print("Sorted List\n" )
		print(*a )


if __name__ == "__main__":
		main()






