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numpy-rms 0.6.0-1

Package Information

Descriptionfast 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.

MaintainerHome Assistant Team <team+homeassistant@tracker.debian.org>
Changed ByEdward Betts <edward@4angle.com>
Sponsoredward@debian.org
Distributionunstable
Architectureany
VCSgit: https://salsa.debian.org/homeassistant-team/deps/numpy-rms.git (browse)
Closes#1130230
Trackerhttps://tracker.debian.org/pkg/numpy-rms
Uploaded1 day ago

New Package Report

.changes
Changed-ByEdward Betts
Architectureamd64 source
Distributionunstable
DateMon, 09 Mar 2026 20:49:46 +0000
Sourcenumpy-rms
Version0.6.0-1
Changelog
numpy-rms (0.6.0-1) unstable; urgency=medium
 .
   * Initial release. (Closes: #1130230)
.dsc
Sectionpython
Priorityoptional
Componentmain
Package-Listpython3-numpy-rms deb python optional arch=any
debian/copyright
Format: https://www.debian.org/doc/packaging-manuals/copyright-format/1.0/
Upstream-Name: numpy-rms
Upstream-Contact: Iver Jordal <iver56@hotmail.com>
Source: https://github.com/nomonosound/numpy-rms

Files: *
Copyright: 2024 Nomono
License: MIT

Files: debian/*
Copyright: 2026 Edward Betts <edward@4angle.com>
License: MIT


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