如何在python中并行化以下代码片段？

import concurrent.futures
import time

def task(n):
    print(f"Task {n} started")
    time.sleep(2)
    print(f"Task {n} finished")
    return n * n

if __name__ == "__main__":
    with concurrent.futures.ThreadPoolExecutor(max_workers=5) as executor:
        futures = [executor.submit(task, i) for i in range(10)]
        results = [future.result() for future in concurrent.futures.as_completed(futures)]
    
    print(results)

import multiprocessing
import time

def task(n):
    print(f"Task {n} started")
    time.sleep(2)
    print(f"Task {n} finished")
    return n * n

if __name__ == "__main__":
    with multiprocessing.Pool(processes=5) as pool:
        results = pool.map(task, range(10))
    
    print(results)

from joblib import Parallel, delayed
import time

def task(n):
    print(f"Task {n} started")
    time.sleep(2)
    print(f"Task {n} finished")
    return n * n

if __name__ == "__main__":
    results = Parallel(n_jobs=5)(delayed(task)(i) for i in range(10))
    print(results)

import asyncio

async def task(n):
    print(f"Task {n} started")
    await asyncio.sleep(2)
    print(f"Task {n} finished")
    return n * n

async def main():
    tasks = [task(i) for i in range(10)]
    results = await asyncio.gather(*tasks)
    print(results)

if __name__ == "__main__":
    asyncio.run(main())