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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.，推荐阅读华体会官网获取更多信息
博主的团队不大，十几个人，运转节奏很快。对方是彻底的“结果导向”——不关心部署环境是否干净，不关心底层配置是否规范，只要你告诉他工作流能不能跑、跑出来是什么样子。而很多前提条件根本没有对清楚：博主想要什么、团队的工作流长什么样、哪些环节可以让龙虾介入——全是模糊的。