Your message dated Wed, 11 Mar 2026 17:00:10 +0000
with message-id <[email protected]>
and subject line Bug#1130230: fixed in numpy-rms 0.6.0-1
has caused the Debian Bug report #1130230,
regarding ITP: numpy-rms -- fast root mean square calculation for NumPy arrays
to be marked as done.
This means that you claim that the problem has been dealt with.
If this is not the case it is now your responsibility to reopen the
Bug report if necessary, and/or fix the problem forthwith.
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--
1130230: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=1130230
Debian Bug Tracking System
Contact [email protected] with problems
--- Begin Message ---
Package: wnpp
Severity: wishlist
Owner: Edward Betts <[email protected]>
* Package name : numpy-rms
Version : 0.6.0
Upstream Author : Iver Jordal <[email protected]>
* URL : https://github.com/nomonosound/numpy-rms
* License : MIT
Programming Lang: Python
Description : 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.
This library is a dependancy of Home Assistant, the Python smart home platform.
I plan to maintain it as part of the Home Assistant team.
--- End Message ---
--- Begin Message ---
Source: numpy-rms
Source-Version: 0.6.0-1
Done: Edward Betts <[email protected]>
We believe that the bug you reported is fixed in the latest version of
numpy-rms, which is due to be installed in the Debian FTP archive.
A summary of the changes between this version and the previous one is
attached.
Thank you for reporting the bug, which will now be closed. If you
have further comments please address them to [email protected],
and the maintainer will reopen the bug report if appropriate.
Debian distribution maintenance software
pp.
Edward Betts <[email protected]> (supplier of updated numpy-rms package)
(This message was generated automatically at their request; if you
believe that there is a problem with it please contact the archive
administrators by mailing [email protected])
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Hash: SHA512
Format: 1.8
Date: Mon, 09 Mar 2026 20:49:46 +0000
Binary: python3-numpy-rms python3-numpy-rms-dbgsym
Source: numpy-rms
Architecture: amd64 source
Version: 0.6.0-1
Distribution: unstable
Urgency: medium
Maintainer: Home Assistant Team <[email protected]>
Changed-By: Edward Betts <[email protected]>
Closes: 1130230
Description:
python3-numpy-rms - fast root mean square calculation for NumPy arrays
Changes:
numpy-rms (0.6.0-1) unstable; urgency=medium
.
* Initial release. (Closes: #1130230)
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