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例如，谷歌和Meta分别开发了自己的代码仓库——Piper 和 Sapling——来处理其工程师编写的大量代码。这两家公司都没有将这些仓库作为产品向外部开发者或企业客户发布。
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It completed the assignment in one-shot, accounting for all of the many feature constraints specified. The “Python Jupyter Notebook” notebook command at the end is how I manually tested whether the pyo3 bridge worked, and it indeed worked like a charm. There was one mistake that’s my fault however: I naively chose the fontdue Rust crate as the renderer because I remember seeing a benchmark showing it was the fastest at text rendering. However, testing large icon generation exposed a flaw: fontdue achieves its speed by only partially rendering curves, which is a very big problem for icons, so I followed up: