Paket: python3-numpy-rms (0.6.0-1 ve diğerleri)

[ Kaynak: 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.

python3-numpy-rms ile İlgili Diğer Paketler

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

  GNU C Library: Shared libraries
  ayrıca şunun tarafından sağlanan bir sanal paket 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)

python3-numpy-rms indir

Tüm mevcut mimariler için indir

Mimari	Sürüm	Paket Boyutu	Kurulu Boyut	Dosyalar
amd64	0.6.0-1+b1	9,9 kB	41,0 kB	[dosya listesi]
arm64	0.6.0-1	9,3 kB	93,0 kB	[dosya listesi]
i386	0.6.0-1	9,3 kB	40,0 kB	[dosya listesi]
ppc64el	0.6.0-1	9,6 kB	93,0 kB	[dosya listesi]
riscv64	0.6.0-1	8,9 kB	36,0 kB	[dosya listesi]
s390x	0.6.0-1	9,1 kB	36,0 kB	[dosya listesi]