Commit History - (may be incomplete: see SVNWeb link above for full details) |
Date | By | Description |
28 Sep 2020 21:16:54
1.1.1

|
makc  |
math/py-PyWavelets:
- Update to 1.1.1. This release supports Python 3.7 and greater
- Drop needless dependency
- Take maintainership
PR: 249565
Approved by: Eric Camachat (former maintainer) |
24 Mar 2020 19:54:57
0.5.2_4

|
antoine  |
Convert the tree to use PY_PILLOW
With hat: portmgr
Originally submitted by: kai |
24 Feb 2020 11:36:16
0.5.2_4

|
kai  |
graphics/py-pillow: Update to 7.0.0
* Repo-Copy the Pillow 6.2.2 release to graphics/py-pillow6 to retain
backwards compatibility for Python 2 consumers as the Pillow 7.0.0 release
dropped the support for Python 2.
* Apply conditional statements to use either Pillow 7.x or Pillow 6.x for
consumers that can be built for Python 2 or newer.
* Exceptions are ports that can be built only for either Python 2 or
Python 3. For the first case, consumers are just assigned to the
repo-copied graphics/py-pillow6.
* Also remove Pillow from BUILD_DEPENDS of math/py-PyWavelets as it is not
listed in setup.py as a build dependency [1] and relax the version (Only the first 15 lines of the commit message are shown above ) |
26 Jul 2019 20:46:57
0.5.2_3

|
gerald  |
Bump PORTREVISION for ports depending on the canonical version of GCC
as defined in Mk/bsd.default-versions.mk which has moved from GCC 8.3
to GCC 9.1 under most circumstances now after revision 507371.
This includes ports
- with USE_GCC=yes or USE_GCC=any,
- with USES=fortran,
- using Mk/bsd.octave.mk which in turn features USES=fortran, and
- with USES=compiler specifying openmp, nestedfct, c11, c++0x, c++11-lang,
c++11-lib, c++14-lang, c++17-lang, or gcc-c++11-lib
plus, everything INDEX-11 shows with a dependency on lang/gcc9 now.
PR: 238330 |
12 Dec 2018 01:35:36
0.5.2_2

|
gerald  |
Bump PORTREVISION for ports depending on the canonical version of GCC
defined via Mk/bsd.default-versions.mk which has moved from GCC 7.4 t
GCC 8.2 under most circumstances.
This includes ports
- with USE_GCC=yes or USE_GCC=any,
- with USES=fortran,
- using Mk/bsd.octave.mk which in turn features USES=fortran, and
- with USES=compiler specifying openmp, nestedfct, c11, c++0x, c++11-lang,
c++11-lib, c++14-lang, c++17-lang, or gcc-c++11-lib
plus, as a double check, everything INDEX-11 showed depending on lang/gcc7.
PR: 231590 |
20 Jun 2018 17:05:44
0.5.2_1

|
mat  |
Use PY_FLAVOR for dependencies.
FLAVOR is the current port's flavor, it should not be used outside of
this scope.
Sponsored by: Absolight |
23 Mar 2018 08:28:05
0.5.2_1

|
makc  |
math/py-PyWavelets:
- Don't restrict the port for Python 2.x only
PR: 226798
Approved by: Eric Camachat (maintainer) |
10 Mar 2018 17:46:06
0.5.2_1

|
gerald  |
Bump PORTREVISIONs of all users of math/mpc that we just updated to
version 1.1.0 (via revision 464079). |
30 Nov 2017 15:50:34
0.5.2

|
mat  |
Convert Python ports to FLAVORS.
Ports using USE_PYTHON=distutils are now flavored. They will
automatically get flavors (py27, py34, py35, py36) depending on what
versions they support.
There is also a USE_PYTHON=flavors for ports that do not use distutils
but need FLAVORS to be set. A USE_PYTHON=noflavors can be set if
using distutils but flavors are not wanted.
A new USE_PYTHON=optsuffix that will add PYTHON_PKGNAMESUFFIX has been
added to cope with Python ports that did not have the Python
PKGNAMEPREFIX but are flavored.
USES=python now also exports a PY_FLAVOR variable that contains the (Only the first 15 lines of the commit message are shown above ) |
16 Apr 2017 07:31:07
0.5.2

|
wen  |
- Update to 0.5.2
PR: 218565
Submitted by: eric@camachat.org(maintainer) |
10 Apr 2017 21:49:02
0.5.1

|
mat  |
Regular USE_GITHUB cleanup.
Do not set DISTNAME.
Do not set WRKSRC, if you feel like you need to, you should fix
GH_PROJECT instead.
Sponsored by: Absolight |
10 Mar 2017 01:28:25
0.5.1

|
wen  |
PyWavelets is a free Open Source library for wavelet transforms in Python.
Wavelets are mathematical basis functions that are localized in both time and
frequency. Wavelet transforms are time-frequency transforms employing wavelets.
They are similar to Fourier transforms, the difference being that Fourier
transforms are localized only in frequency instead of in time and frequency.
WWW: https://github.com/PyWavelets/pywt
PR: 217426
Submitted by: eric@camachat.org |