There’s a secondary pro and con to this pipeline: since the code is compiled, it avoids having to specify as many dependencies in Python itself; in this package’s case, Pillow for image manipulation in Python is optional and the Python package won’t break if Pillow changes its API. The con is that compiling the Rust code into Python wheels is difficult to automate especially for multiple OS targets: fortunately, GitHub provides runner VMs for this pipeline and a little bit of back-and-forth with Opus 4.5 created a GitHub Workflow which runs the build for all target OSes on publish, so there’s no extra effort needed on my end.
人的智能有三个方面：信息的收集、信息的处理产生认知、基于认知的行动。大语言模型目前主要的应用形态是ChatGPT这样的聊天机器人（Chatbot），能力集中在前两个方面。但更加有用的机器智能不只停留在“理解”和“说话”，如果能像一个或一群优秀的人才那样帮我们“做事”，显然能创造更大的价值。这就需要AI智能体（Agent）。
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2. 按步长分组，对每组进行插入排序。业内人士推荐同城约会作为进阶阅读