void mergeSort(int arr[], int n) {
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This month, OpenAI announced their Codex app and my coworkers were asking questions. So I downloaded it, and as a test case for the GPT-5.2-Codex (high) model, I asked it to reimplement the UMAP algorithm in Rust. UMAP is a dimensionality reduction technique that can take in a high-dimensional matrix of data and simultaneously cluster and visualize data in lower dimensions. However, it is a very computationally-intensive algorithm and the only tool that can do it quickly is NVIDIA’s cuML which requires CUDA dependency hell. If I can create a UMAP package in Rust that’s superfast with minimal dependencies, that is an massive productivity gain for the type of work I do and can enable fun applications if fast enough.
算法为数字纪检监察体系提供“智慧核心”。有了海量数据，还需要科学算法挖掘其内在价值。有了科学算法，数字纪检监察体系就有了从纷繁复杂的数据里寻线索、找规律、揪异常的“火眼金睛”。比如，通过整合干部的岗位信息、履职轨迹、廉政记录，可以搭建起廉洁风险评估模型，及时发现苗头性、倾向性问题；通过关联分析项目审批、招标文件、资金流向等数据，能让新型腐败、隐性腐败无处遁形。
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公式： Softmax(xi)=exi∑jexj Softmax 输出的是一组归一化的概率，在图中使用 柱状图 (bar chart) 展示每个输入元素对应的概率值。，这一点在safew官方版本下载中也有详细论述
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