同时执行两个文件中的代码

import threading

# 共享资源
counter = 0

# 互斥锁
lock = threading.Lock()

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

# 创建两个线程
t1 = threading.Thread(target=increment)
t2 = threading.Thread(target=increment)

# 启动线程
t1.start()
t2.start()

# 等待线程结束
t1.join()
t2.join()

print(counter)  # 输出应为200000

import threading

lock1 = threading.Lock()
lock2 = threading.Lock()

def thread1():
    with lock1:
        with lock2:
            print("Thread 1")

def thread2():
    with lock2:
        with lock1:
            print("Thread 2")

t1 = threading.Thread(target=thread1)
t2 = threading.Thread(target=thread2)

t1.start()
t2.start()

t1.join()
t2.join()

import concurrent.futures

def task(n):
    return n * n

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)