软件包：python3-numpy-rms（0.6.0-1 以及其他的）
fast root mean square calculation for NumPy arrays
This library provides a fast implementation of root mean square (RMS) calculations for NumPy arrays. It computes RMS values over fixed-size windows and returns the resulting series.
The function operates on one-dimensional or two-dimensional float32 arrays stored in contiguous memory. Given an input array and a window size, it calculates the RMS value for each window, producing a sequence of RMS values. This is useful for summarising signal magnitude over time or across grouped samples.
The implementation is written in C and includes architecture-specific optimisations for x86-64 (AVX) and ARM (NEON) systems, allowing efficient processing of large arrays where repeated RMS calculations would otherwise be costly.
The module focuses on a single task: efficient RMS computation for NumPy array data. It does not attempt to provide a full signal-processing framework.
其他与 python3-numpy-rms 有关的软件包
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- dep: libc6 (>= 2.17) [arm64, ppc64el]
- GNU C 语言运行库：共享库
同时作为一个虚包由这些包填实： libc6-udeb
- dep: libc6 (>= 2.27) [riscv64]
- dep: libc6 (>= 2.4) [amd64, i386, s390x]
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- dep: python3
- 交互式高级面向对象语言（默认 python3 版本）