with ThreadPoolExecutor() as executor默认
时间: 2023-10-17 08:27:40 浏览: 34
with ThreadPoolExecutor() as executor默认会使用系统的CPU核心数作为最大工作线程数。这意味着它会根据系统的硬件情况自动确定线程池的大小,以最大限度地利用系统资源。同时,当with块执行完毕时,进程池会自动关闭,释放资源。这样可以确保在任务执行完毕后,线程池会被正确地关闭,避免资源泄漏的问题。所以,使用with ThreadPoolExecutor() as executor是一种方便且安全的方式来创建和管理线程池。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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- *1* [python线程池 ThreadPoolExecutor 的用法及实战](https://blog.csdn.net/qq_42533216/article/details/119451109)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
- *2* *3* [Python:ThreadPoolExecutor 的介绍和示例](https://blog.csdn.net/diana_jiuri1314/article/details/131783433)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
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