py-pywavelets: update to 1.4.1.

==============================
PyWavelets 1.1.0 Release Notes
==============================


We are very pleased to announce the release of PyWavelets 1.1.

This release includes enhanced functionality for both the stationary wavelet
transforms (``swt``, ``swt2``, ``swtn``) as well as the continuous wavelet
transform (``cwt``). In addition, there are a handful of bug fixes as
described in more detail below.

This release has dropped Python 2.7 support and now requires Python >= 3.5.

==============================
PyWavelets 1.1.1 Release Notes
==============================


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.
==============================
PyWavelets 1.2.0 Release Notes
==============================

We are very pleased to announce the release of PyWavelets 1.2.

This release has new discrete wavelet transforms features incleading a series
of multiresolution analysis functions (details below).

PyWavelets has dropped support for Python 3.5 and 3.6 and now supports
Python 3.7-3.10.

We also now provide aarch64 linux wheels as well as universal2 and arm64
wheels that are compatible with Apple's M1 processors.

==============================
PyWavelets 1.3.0 Release Notes
==============================

We are very pleased to announce the release of PyWavelets 1.3. This release
is functionally the same as 1.2.0, but we have updated the set of binary wheels
provided. Specifically we have added `aarch64` wheels for Python 3.7 that were
missing in 1.2.0 and have updated the versions of `manylinux` used for the
linux wheels in a manner consistent with NumPy and SciPy. We have also dropped
`musllinux` wheels which were present for some architectures in 1.2.0. We may
add them again in the future if they are adopted by NumPy and there is a
demand for this architecture.

==============================
PyWavelets 1.4.0 Release Notes
==============================

We are very pleased to announce the release of PyWavelets 1.4. This release
is a minor update to 1.3.0. It adds wheels for Python 3.11 and drops support
for Python 3.7.

There is one new utility function, `pywt.frequency2scale`, that can be used to
determine CWT scale factors corresponding to a given (normalized) frequency.
It is the inverse of the existing `pywt.scale2frequency`.

3 files changed, 26 insertions, 9 deletions

diff --git a/math/py-pywavelets/Makefile b/math/py-pywavelets/Makefile
index df28922f3f3..c89e4ebb2b4 100644
--- a/math/py-pywavelets/Makefile
+++ b/math/py-pywavelets/Makefile
@@ -1,8 +1,7 @@
-# $NetBSD: Makefile,v 1.8 2022/04/15 11:27:41 nia Exp $
+# $NetBSD: Makefile,v 1.9 2022/11/14 23:50:35 wiz Exp $
 
-DISTNAME=	PyWavelets-1.0.3
+DISTNAME=	PyWavelets-1.4.1
 PKGNAME=	${PYPKGPREFIX}-${DISTNAME:tl}
-PKGREVISION=	2
 CATEGORIES=	math python
 MASTER_SITES=	${MASTER_SITE_PYPI:=P/PyWavelets/}
 
@@ -13,7 +12,7 @@ LICENSE=	mit
 
 REPLACE_PYTHON+=	pywt/tests/*.py
 
-PYTHON_VERSIONS_INCOMPATIBLE=	27 37 # numpy
+PYTHON_VERSIONS_INCOMPATIBLE=	27 37
 
 do-test:
 	${PYTHONBIN} -c 'import pywt; pywt.test()'
diff --git a/math/py-pywavelets/PLIST b/math/py-pywavelets/PLIST
index e8ebb0d9225..b6f98679379 100644
--- a/math/py-pywavelets/PLIST
+++ b/math/py-pywavelets/PLIST
@@ -1,4 +1,4 @@
-@comment $NetBSD: PLIST,v 1.2 2019/06/17 14:54:57 adam Exp $
+@comment $NetBSD: PLIST,v 1.3 2022/11/14 23:50:35 wiz Exp $
 ${PYSITELIB}/${EGG_INFODIR}/PKG-INFO
 ${PYSITELIB}/${EGG_INFODIR}/SOURCES.txt
 ${PYSITELIB}/${EGG_INFODIR}/dependency_links.txt
@@ -29,12 +29,21 @@ ${PYSITELIB}/pywt/_extensions/_swt.so
 ${PYSITELIB}/pywt/_functions.py
 ${PYSITELIB}/pywt/_functions.pyc
 ${PYSITELIB}/pywt/_functions.pyo
+${PYSITELIB}/pywt/_mra.py
+${PYSITELIB}/pywt/_mra.pyc
+${PYSITELIB}/pywt/_mra.pyo
 ${PYSITELIB}/pywt/_multidim.py
 ${PYSITELIB}/pywt/_multidim.pyc
 ${PYSITELIB}/pywt/_multidim.pyo
 ${PYSITELIB}/pywt/_multilevel.py
 ${PYSITELIB}/pywt/_multilevel.pyc
 ${PYSITELIB}/pywt/_multilevel.pyo
+${PYSITELIB}/pywt/_pytest.py
+${PYSITELIB}/pywt/_pytest.pyc
+${PYSITELIB}/pywt/_pytest.pyo
+${PYSITELIB}/pywt/_pytesttester.py
+${PYSITELIB}/pywt/_pytesttester.pyc
+${PYSITELIB}/pywt/_pytesttester.pyo
 ${PYSITELIB}/pywt/_swt.py
 ${PYSITELIB}/pywt/_swt.pyc
 ${PYSITELIB}/pywt/_swt.pyo
@@ -47,6 +56,9 @@ ${PYSITELIB}/pywt/_utils.pyo
 ${PYSITELIB}/pywt/_wavelet_packets.py
 ${PYSITELIB}/pywt/_wavelet_packets.pyc
 ${PYSITELIB}/pywt/_wavelet_packets.pyo
+${PYSITELIB}/pywt/conftest.py
+${PYSITELIB}/pywt/conftest.pyc
+${PYSITELIB}/pywt/conftest.pyo
 ${PYSITELIB}/pywt/data/__init__.py
 ${PYSITELIB}/pywt/data/__init__.pyc
 ${PYSITELIB}/pywt/data/__init__.pyo
@@ -106,6 +118,9 @@ ${PYSITELIB}/pywt/tests/test_matlab_compatibility_cwt.pyo
 ${PYSITELIB}/pywt/tests/test_modes.py
 ${PYSITELIB}/pywt/tests/test_modes.pyc
 ${PYSITELIB}/pywt/tests/test_modes.pyo
+${PYSITELIB}/pywt/tests/test_mra.py
+${PYSITELIB}/pywt/tests/test_mra.pyc
+${PYSITELIB}/pywt/tests/test_mra.pyo
 ${PYSITELIB}/pywt/tests/test_multidim.py
 ${PYSITELIB}/pywt/tests/test_multidim.pyc
 ${PYSITELIB}/pywt/tests/test_multidim.pyo
@@ -130,6 +145,9 @@ ${PYSITELIB}/pywt/tests/test_wp.pyo
 ${PYSITELIB}/pywt/tests/test_wp2d.py
 ${PYSITELIB}/pywt/tests/test_wp2d.pyc
 ${PYSITELIB}/pywt/tests/test_wp2d.pyo
+${PYSITELIB}/pywt/tests/test_wpnd.py
+${PYSITELIB}/pywt/tests/test_wpnd.pyc
+${PYSITELIB}/pywt/tests/test_wpnd.pyo
 ${PYSITELIB}/pywt/version.py
 ${PYSITELIB}/pywt/version.pyc
 ${PYSITELIB}/pywt/version.pyo
diff --git a/math/py-pywavelets/distinfo b/math/py-pywavelets/distinfo
index 6c5a731bf5e..d36b9607076 100644
--- a/math/py-pywavelets/distinfo
+++ b/math/py-pywavelets/distinfo
@@ -1,5 +1,5 @@
-$NetBSD: distinfo,v 1.4 2021/10/26 10:56:04 nia Exp $
+$NetBSD: distinfo,v 1.5 2022/11/14 23:50:35 wiz Exp $
 
-BLAKE2s (PyWavelets-1.0.3.tar.gz) = d5a2979c81b59f76df8bb4d5dea23eb995748fddd318e6a8f7d04695a52f24be
-SHA512 (PyWavelets-1.0.3.tar.gz) = 7890d9d7ee2694061b2a894785bb32678af536e2f57198f05534ee87afa79f0cb74fdd9344b0c504a89e74c1145c04de20cf35977cc63d8e49365ce8fb9cf7c8
-Size (PyWavelets-1.0.3.tar.gz) = 4552777 bytes
+BLAKE2s (PyWavelets-1.4.1.tar.gz) = bbdcfd0dfc09375a6825ec916063cd7cc27f6b10b20fc9f82f5e6232fec1b006
+SHA512 (PyWavelets-1.4.1.tar.gz) = 6a37a717537f3c62c1ee3b1a8017a7ed1f2a231d05b20cbcfaaadbad0f20e6d6b7f24749d00b5a4ae04d7efac49943e1aa8d431eedf641c6b45b6cb99390c1f9
+Size (PyWavelets-1.4.1.tar.gz) = 4589677 bytes