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Hence this essay. Before I get started, I would like to put a plug for
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Flexibility Clash: CH typically pre-calculates optimal paths. Supporting OsmAnd's 10+ routing parameters (leading to over 1024 combinations per profile!) would be impossible with standard CH.
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: