Hello community, here is the log from the commit of package python-PyWavelets for openSUSE:Factory checked in at 2020-02-22 18:59:44 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Comparing /work/SRC/openSUSE:Factory/python-PyWavelets (Old) and /work/SRC/openSUSE:Factory/.python-PyWavelets.new.26092 (New) ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "python-PyWavelets" Sat Feb 22 18:59:44 2020 rev:7 rq:774994 version:1.1.1 Changes: -------- --- /work/SRC/openSUSE:Factory/python-PyWavelets/python-PyWavelets.changes 2019-07-23 22:37:26.926970499 +0200 +++ /work/SRC/openSUSE:Factory/.python-PyWavelets.new.26092/python-PyWavelets.changes 2020-02-22 18:59:48.853566760 +0100 @@ -1,0 +2,69 @@ +Thu Jan 30 15:26:02 UTC 2020 - Todd R <toddrme2...@gmail.com> + +- Update to version 1.1.1 + * This release is identical in functionality to 1.1.0. + It fixes setup.py to prevent pip from trying to install from PyPI for Python < 3.5. +- Update to version 1.1.0 + + New features + * All ``swt`` functions now have a new ``trim_approx`` option that can be used + to exclude the approximation coefficients from all but the final level of + decomposition. This mode makes the output of these functions consistent with + the format of the output from the corresponding ``wavedec`` functions. + * All ``swt`` functions also now have a new ``norm`` option that, when set to + ``True`` and used in combination with ``trim_approx=True``, gives a partition + of variance across the transform coefficients. In other words, the sum of + the variances of all coefficients is equal to the variance of the original + data. This partitioning of variance makes the ``swt`` transform more similar + to the multiple-overlap DWT (MODWT) described in Percival and Walden's book, + "Wavelet Methods for Time Series Analysis". + A demo of this new ``swt`` functionality is available at + https://github.com/PyWavelets/pywt/blob/master/demo/swt_variance.py + * The continuous wavelet transform (``cwt``) now offers an FFT-based + implementation in addition to the previous convolution based one. The new + ``method`` argument can be set to either ``'conv'`` or ``'fft'`` to select + between these two implementations.. + * The ``cwt`` now also has ``axis`` support so that CWTs can be applied in + batch along any axis of an n-dimensional array. This enables faster batch + transformation of signals. + + Backwards incompatible changes + * When the input to ``cwt`` is single precision, the computations are now + performed in single precision. This was done both for efficiency and to make + ``cwt`` handle dtypes consistently with the discrete transforms in + PyWavelets. This is a change from the prior behaviour of always performing + the ``cwt`` in double precision. + * When using complex-valued wavelets with the ``cwt``, the output will now be + the complex conjugate of the result that was produced by PyWavelets 1.0.x. + This was done to account for a bug described below. The magnitude of the + ``cwt`` coefficients will still match those from previous releases. + + Bugs Fixed + * For a ``cwt`` with complex wavelets, the results in PyWavelets 1.0.x releases + matched the output of Matlab R2012a's ``cwt``. Howveer, older Matlab releases + like R2012a had a phase that was of opposite sign to that given in textbook + definitions of the CWT (Eq. 2 of Torrence and Compo's review article, "A + Practical Guide to Wavelet Analysis"). Consequently, the wavelet coefficients + were the complex conjugates of the expected result. This was validated by + comparing the results of a transform using ``cmor1.0-1.0`` as compared to the + ``cwt`` implementation available in Matlab R2017b as well as the function + ``wt.m`` from the Lancaster University Physics department's + `MODA toolbox <https://github.com/luphysics/MODA>`_. + * For some boundary modes and data sizes, round-trip ``dwt``/``idwt`` can + result in an output that has one additional coefficient. Prior to this + relese, this could cause a failure during ``WaveletPacket`` or + ``WaveletPacket2D`` reconstruction. These wavelet packet transforms have now + been fixed and round-trip wavelet packet transforms always preserve the + original data shape. + * All inverse transforms now handle mixed precision coefficients consistently. + Prior to this release some inverse transform raised an error upon + encountering mixed precision dtypes in the wavelet subbands. In release 1.1, + when the user-provided coefficients are a mixture of single and double + precision, all coefficients will be promoted to double precision. + * A bug that caused a failure for ``iswtn`` when using user-provided ``axes`` + with non-uniform shape along the transformed axes has been fixed. + + Other changes + * The PyWavelet test suite now uses ``pytest`` rather than ``nose``. + * Cython code has been updated to use ``language_level=3``. + * PyWavelets has adopted the SciPy Code of Conduct. +- Drop doc subpackage. readthedocs is changing their url structure + too quickly to easily keep up with. + +------------------------------------------------------------------- Old: ---- PyWavelets-1.0.3.tar.gz pywavelets.pdf pywavelets.zip New: ---- PyWavelets-1.1.1.tar.gz ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Other differences: ------------------ ++++++ python-PyWavelets.spec ++++++ --- /var/tmp/diff_new_pack.v0Boh8/_old 2020-02-22 18:59:49.689568380 +0100 +++ /var/tmp/diff_new_pack.v0Boh8/_new 2020-02-22 18:59:49.693568387 +0100 @@ -1,7 +1,7 @@ # # spec file for package python-PyWavelets # -# Copyright (c) 2019 SUSE LINUX GmbH, Nuernberg, Germany. +# Copyright (c) 2020 SUSE LLC # # All modifications and additions to the file contributed by third parties # remain the property of their copyright owners, unless otherwise agreed @@ -17,16 +17,15 @@ %{?!python_module:%define python_module() python-%{**} python3-%{**}} +%define skip_python2 1 Name: python-PyWavelets -Version: 1.0.3 +Version: 1.1.1 Release: 0 Summary: PyWavelets is a Python wavelet transforms module License: MIT Group: Development/Libraries/Python URL: https://github.com/PyWavelets/pywt Source0: https://files.pythonhosted.org/packages/source/P/PyWavelets/PyWavelets-%{version}.tar.gz -Source10: https://media.readthedocs.org/pdf/pywavelets/v%{version}/pywavelets.pdf -Source11: https://media.readthedocs.org/htmlzip/pywavelets/v%{version}/pywavelets.zip BuildRequires: %{python_module Cython} BuildRequires: %{python_module devel} BuildRequires: %{python_module numpy-devel >= 1.9.1} @@ -36,8 +35,11 @@ BuildRequires: unzip # SECTION test requirements BuildRequires: %{python_module nose} +BuildRequires: %{python_module pytest} # /SECTION Requires: python-numpy >= 1.9.1 +Provides: python-PyWavelets-doc = %{version} +Obsoletes: python-PyWavelets-doc < %{version} %python_subpackages %description @@ -51,37 +53,10 @@ * Single and double precision calculations * Results compatibility with Matlab Wavelet Toolbox -%package -n %{name}-doc -Summary: This package contains the HMTL documentation of %{name} -Group: Documentation/Other -Provides: %{python_module PyWavelets-doc = %{version}} - -%description -n %{name}-doc -PyWavelets is a Python wavelet transforms module that can do: - - * 1D and 2D Forward and Inverse Discrete Wavelet Transform (DWT and IDWT) - * 1D and 2D Stationary Wavelet Transform (Undecimated Wavelet Transform) - * 1D and 2D Wavelet Packet decomposition and reconstruction - * Computing Approximations of wavelet and scaling functions - * Over seventy built-in wavelet filters and support for custom wavelets - * Single and double precision calculations - * Results compatibility with Matlab Wavelet Toolbox - -This Package contains the documentation of %{name} in HTML and PDF formats. - %prep %setup -q -n PyWavelets-%{version} sed -i -e '/^#!\//, 1d' pywt/tests/*.py -cp %{SOURCE10} . -unzip %{SOURCE11} -d docs -mv docs/pywavelets-* docs/html -rm docs/html/.buildinfo - -# Make docs non-executable -chmod a-x *.rst -chmod a-x PyWavelets.egg-info/* - # Fix wrong-script-interpreter find demo -name '*.py' -exec sed -i "s|#!%{_bindir}/env python|#!%__python3|" {} \; @@ -111,11 +86,12 @@ } %check -mkdir test -pushd test -%{python_expand export PYTHONPATH=%{buildroot}%{$python_sitearch} -$python -B -c 'import pywt;pywt.test()' -} +mkdir temp +mv pywt temp/pywt +export PYTHONDONTWRITEBYTECODE=1 +# Accuracy is platform-dependent +%pytest_arch --ignore=temp -k 'not test_accuracy_precomputed_cwt' %{buildroot}%{$python_sitearch}/pywt/ +mv temp/pywt pywt %files %{python_files} %doc README.rst @@ -123,9 +99,4 @@ %{python_sitearch}/pywt/ %{python_sitearch}/PyWavelets-%{version}-py*.egg-info -%files -n %{name}-doc -%license LICENSE -%doc pywavelets.pdf -%doc docs/html - %changelog ++++++ PyWavelets-1.0.3.tar.gz -> PyWavelets-1.1.1.tar.gz ++++++ ++++ 72773 lines of diff (skipped)
