./math/py-pywavelets, Discrete Wavelet Transforms in Python

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Branch: CURRENT, Version: 1.0.3nb1, Package name: py37-pywavelets-1.0.3nb1, Maintainer: pkgsrc-users

PyWavelets is a Python wavelet transforms module that includes:

* nD Forward and Inverse Discrete Wavelet Transform (DWT and IDWT)
* 1D and 2D Forward and Inverse Stationary Wavelet Transform
(Undecimated Wavelet Transform)
* 1D and 2D Wavelet Packet decomposition and reconstruction
* 1D Continuous Wavelet Tranfsorm
* Computing Approximations of wavelet and scaling functions
* Over 100 built-in wavelet filters and support for custom wavelets
* Single and double precision calculations
* Results compatibility with Matlab Wavelet Toolbox (tm)


Required to run:
[devel/py-setuptools] [math/py-numpy] [devel/py-cython] [lang/python37]

Required to build:
[pkgtools/cwrappers]

Master sites:

SHA1: 7a51dffbd933fc305032e003ef663adacd74a9ef
RMD160: 0bff37693009f39baae82d90f4412a2c04886e56
Filesize: 4446.071 KB

Version history: (Expand)


CVS history: (Expand)


   2020-10-12 23:52:05 by Jason Bacon | Files touched by this commit (87) | Package updated
Log message:
math/blas, math/lapack: Install interchangeable BLAS system

Install the new interchangeable BLAS system created by Thomas Orgis,
currently supporting Netlib BLAS/LAPACK, OpenBLAS, cblas, lapacke, and
Apple's Accelerate.framework.  This system allows the user to select any
BLAS implementation without modifying packages or using package options, by
setting PKGSRC_BLAS_TYPES in mk.conf. See mk/blas.buildlink3.mk for details.

This commit should not alter behavior of existing packages as the system
defaults to Netlib BLAS/LAPACK, which until now has been the only supported
implementation.

Details:

Add new mk/blas.buildlink3.mk for inclusion in dependent packages
Install compatible Netlib math/blas and math/lapack packages
Update math/blas and math/lapack MAINTAINER approved by adam@
OpenBLAS, cblas, and lapacke will follow in separate commits
Update direct dependents to use mk/blas.buildlink3.mk
Perform recursive revbump
   2019-06-17 16:54:58 by Adam Ciarcinski | Files touched by this commit (3) | Package updated
Log message:
py-pywavelets: updated to 1.0.3

PyWavelets 1.0.3 is functionally equivalent to the 1.0.2 release. It was made
to add the add an archive of the JOSS paper to the 1.0.x branch and serve as a
reference corresponding to the version of the software reviewed that was peer
reviewed.

PyWavelets 1.0.2 is a bug-fix and maintenance release with no new features
compared to 1.0.1.

PyWavelets 1.0.1 is a bug-fix release with no new features compared to 1.0.0.

We are very pleased to announce the release of PyWavelets 1.0.  We view this
version number as a milestone in the project's now more than a decade long
history.  It reflects that PyWavelets has stabilized over the past few years,
and is now a mature package which a lot of other important packages depend on.
A listing of those package won't be complete, but some we are aware of are:

- scikit-image <https://scikit-image.org>_ - image processing in Python
- imagehash <https://github.com/JohannesBuchner/imagehash>_ - perceptual \ 
image hashing
- pyradiomics <https://github.com/Radiomics/pyradiomics>_ - extraction of \ 
Radiomics features from 2D and 3D images and binary masks
- tomopy <https://github.com/tomopy/tomopy>_ - Tomographic Reconstruction \ 
in Python
- SpikeSort <https://github.com/btel/SpikeSort>_ - Spike sorting library \ 
implemented in Python/NumPy/PyTables
- ODL <https://github.com/odlgroup/odl>_ - operator discretization library

This release requires Python 2.7 or >=3.5 and NumPy 1.9.1 or greater.
The 1.0 release will be the last release supporting Python 2.7.  It will be a
Long Term Support (LTS) release, meaning that we will backport critical bug
fixes to 1.0.x for as long as Python itself does so (i.e. until 1 Jan 2020).
   2017-11-22 12:06:23 by Mark Davies | Files touched by this commit (4)
Log message:
py-pywavelets: Add version 0.5.2

PyWavelets is a Python wavelet transforms module that includes:

* nD Forward and Inverse Discrete Wavelet Transform (DWT and IDWT)
* 1D and 2D Forward and Inverse Stationary Wavelet Transform
  (Undecimated Wavelet Transform)
* 1D and 2D Wavelet Packet decomposition and reconstruction
* 1D Continuous Wavelet Tranfsorm
* Computing Approximations of wavelet and scaling functions
* Over 100 built-in wavelet filters and support for custom wavelets
* Single and double precision calculations
* Results compatibility with Matlab Wavelet Toolbox (tm)