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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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蜜雪冰城要在河南老家建“雪王乐园”,这一点在Line官方版本下载中也有详细论述
// ... 一堆复杂的数学公式 ...
self.config = config or Config()