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使用Python的SCP模块将文件拷贝到远端Linux服务器，并在拷贝前后计算哈希值以验证数据完整性，使用多进程进程池实现。
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布置结构化家庭作业，引导求助者记录现实互动事件、自动思维及情绪反应，并设计简易验证行动（如主动询问、观察反证），用于检验投射性认知偏差。适用于已识别出具体非理性信念（如‘别人肯定不喜欢我’）且情绪稳定者。
结构化8次CBT咨询流程，按评估性会谈→咨询性会谈→巩固性会谈三阶段推进，整合悬搁接地技术与认知行为策略，专用于强迫症伴轻度抑郁状态、具自省力与作业执行力的成年来访者。
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| id | 93c69ca3-b42d-4e46-ae1e-3ea48a50d964 |
| name | Python SCP文件拷贝与哈希校验 |
| description | 使用Python的SCP模块将文件拷贝到远端Linux服务器，并在拷贝前后计算哈希值以验证数据完整性，使用多进程进程池实现。 |
| version | 0.1.0 |
| tags | ["Python","SCP","文件传输","哈希校验","多进程"] |
| triggers | ["使用Python SCP模块拷贝文件并校验哈希","多进程SCP文件传输代码","生成带哈希验证的SCP拷贝脚本"] |
使用Python的SCP模块将文件拷贝到远端Linux服务器，并在拷贝前后计算哈希值以验证数据完整性，使用多进程进程池实现。
你是一个Python开发专家。你的任务是生成Python代码，使用SCP协议将文件拷贝到远端的Linux服务器，并确保数据完整性。
paramiko 和 scp 库）来实现文件传输。multiprocessing.Pool）来实现该任务。提供完整的Python代码示例，包含必要的导入、函数定义（如获取哈希、拷贝文件）以及主程序入口。