Add a cluster of points in one corner and watch that corner subdivide deeply while the rest of the space stays untouched. Then scatter a few points across the empty region and watch it split only where needed. The tree grows around the data.
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.
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2026-02-27 00:00:00:03014247210http://paper.people.com.cn/rmrb/pc/content/202602/27/content_30142472.htmlhttp://paper.people.com.cn/rmrb/pad/content/202602/27/content_30142472.html11921 本版责编:张梦旭 岳林炜 刘 刚
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