运行多个独立代码的Python

import threading

lock = threading.Lock()
shared_resource = 0

def thread_task():
    global shared_resource
    for _ in range(100000):
        lock.acquire()
        shared_resource += 1
        lock.release()

threads = [threading.Thread(target=thread_task) for _ in range(10)]
for thread in threads:
    thread.start()
for thread in threads:
    thread.join()

print(shared_resource)  # 输出应为1000000

import multiprocessing

def process_task(queue):
    queue.put("Hello from process")

queue = multiprocessing.Queue()
process = multiprocessing.Process(target=process_task, args=(queue,))
process.start()
process.join()

print(queue.get())  # 输出应为"Hello from process"

import asyncio

async def async_task(task_name, delay):
    await asyncio.sleep(delay)
    print(f"{task_name} completed")

async def main():
    task1 = asyncio.create_task(async_task("Task 1", 2))
    task2 = asyncio.create_task(async_task("Task 2", 1))
    await asyncio.gather(task1, task2)

asyncio.run(main())