from concurrent.futures import ThreadPoolExecutor import time def task(n): print(f处理任务 {n}) time.sleep(1) return n * 2 # 创建线程池 with ThreadPoolExecutor(max_workers3) as executor: # 方式1提交单个任务 future executor.submit(task, 5) print(f结果: {future.result()}) # 方式2批量提交任务 results executor.map(task, [1, 2, 3, 4, 5]) print(f批量结果: {list(results)}) task(5)
python协程
发布时间：2026/7/29 18:53:32
from concurrent.futures import ThreadPoolExecutor import time def task(n): print(f处理任务 {n}) time.sleep(1) return n * 2 # 创建线程池 with ThreadPoolExecutor(max_workers3) as executor: # 方式1提交单个任务 future executor.submit(task, 5) print(f结果: {future.result()}) # 方式2批量提交任务 results executor.map(task, [1, 2, 3, 4, 5]) print(f批量结果: {list(results)}) task(5)
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