# 使用 ThreadPoolExecutor 增强你的 Python 任务

from concurrent.futures import threadpoolexecutorimport time# function simulating a taskdef task(n):    print(f"task {n} started")    time.sleep(2)  # simulates a long-running task    print(f"task {n} finished")    return f"result of task {n}"# using threadpoolexecutordef execute_tasks():    tasks = [1, 2, 3, 4, 5]  # list of tasks    results = []    # create a thread pool with 3 simultaneous threads    with threadpoolexecutor(max_workers=3) as executor:        # execute tasks in parallel        results = executor.map(task, tasks)    return list(results)if __name__ == "__main__":    results = execute_tasks()    print("all results:", results)

task 1 startedtask 2 startedtask 3 startedtask 1 finishedtask 4 startedtask 2 finishedtask 5 startedtask 3 finishedtask 4 finishedtask 5 finishedall results: ['result of task 1', 'result of task 2', 'result of task 3', 'result of task 4', 'result of task 5']

import requestsfrom concurrent.futures import ThreadPoolExecutor# Function to fetch a URLdef fetch_url(url):    try:        response = requests.get(url)        return f"URL: {url}, Status: {response.status_code}"    except Exception as e:        return f"URL: {url}, Error: {e}"# List of URLs to fetchurls = [    "https://example.com",    "https://httpbin.org/get",    "https://jsonplaceholder.typicode.com/posts",    "https://invalid-url.com"]def fetch_all_urls(urls):    with ThreadPoolExecutor(max_workers=4) as executor:        results = executor.map(fetch_url, urls)    return list(results)if __name__ == "__main__":    results = fetch_all_urls(urls)    for result in results:        print(result)