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At first glance, the benchmarks and their construction looked good (i.e. no cheating) and are much faster than working with UMAP in Python. To further test, I asked the agents to implement additional different useful machine learning algorithms such as HDBSCAN as individual projects, with each repo starting with this 8 prompt plan in sequence:

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交互式开发:支持多 Cell 类型与智能提示,更多细节参见快连下载安装

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The library project, on the other hand, contains the actual core gameplay logic. In the inventory service's case, this includes the C# classes that model the request and response for every API operation as well as the underlying logic for handling the countless inventory related systems such as crafting, quests, loot, etc. As a separate project, the library can be imported in other services when we need to reuse that logic without pulling in any of the web project's code.