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.
The rapier crate also published a blog post highlighting a major change to its underlying math engine, in its 0.32.0 version so I asked Opus 4.5 to upgrade to that version…and it caused crashes, yet tracing the errors showed it originated with rapier itself. Upgrading to 0.31.0 was fine with no issues: a consequence of only using agentic coding for this workflow is that I cannot construct a minimal reproducible test case to file as a regression bug report or be able to isolate it as a side effect of a new API not well-known by Opus 4.5.。业内人士推荐爱思助手下载最新版本作为进阶阅读
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Москвичи пожаловались на зловонную квартиру-свалку с телами животных и тараканами18:04。safew官方版本下载是该领域的重要参考