const cur = arr[i]; // 当前遍历的元素值
Can these agent-benchmaxxed implementations actually beat the existing machine learning algorithm libraries, despite those libraries already being written in a low-level language such as C/C++/Fortran? Here are the results on my personal MacBook Pro comparing the CPU benchmarks of the Rust implementations of various computationally intensive ML algorithms to their respective popular implementations, where the agentic Rust results are within similarity tolerance with the battle-tested implementations and Python packages are compared against the Python bindings of the agent-coded Rust packages:
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落成文档:在 Tbox 的「文档」模式里用 Ling 把 Review 结论整理成团队可读的评审纪要(问题分级、修改建议、可复制的重构片段、Checklist)。
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