Paketti: python3-numpy-rms (0.6.0-1 ja muut)

[ Source: numpy-rms  ]

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.

Muut pakettiin python3-numpy-rms liittyvät paketit

• dep: libc6 (>= 2.17) [arm64, ppc64el]

  GNU-C-kirjasto: jaetut kirjastot
  myös näennäispaketti, jonka toteuttaa libc6-udeb

  dep: libc6 (>= 2.27) [riscv64]

  dep: libc6 (>= 2.4) [amd64, i386, s390x]

• dep: python3

  interactive high-level object-oriented language (default python3 version)

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Imurointi kaikille saataville arkkitehtuureille

Arkkitehtuuri	Versio	Paketin koko	Koko asennettuna	Tiedostot
amd64	0.6.0-1+b1	9.9 kt	41.0 kt	[tiedostoluettelo]
arm64	0.6.0-1	9.3 kt	93.0 kt	[tiedostoluettelo]
i386	0.6.0-1	9.3 kt	40.0 kt	[tiedostoluettelo]
ppc64el	0.6.0-1	9.6 kt	93.0 kt	[tiedostoluettelo]
riscv64	0.6.0-1	8.9 kt	36.0 kt	[tiedostoluettelo]
s390x	0.6.0-1	9.1 kt	36.0 kt	[tiedostoluettelo]