| Commit message (Collapse) | Author | Age | Files | Lines |
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With hat: portmgr
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Reported by: pkg-fallout
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Pointy hat: cs@
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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
current python flavor. It can be used in dependency lines when the
port itself is not python flavored. For example, deskutils/calibre.
By default, all the flavors are generated. To only generate flavors
for the versions in PYTHON2_DEFAULT and PYTHON3_DEFAULT, define
BUILD_DEFAULT_PYTHON_FLAVORS in your make.conf.
In all the ports with Python dependencies, the *_DEPENDS entries MUST
end with the flavor so that the framework knows which to build/use.
This is done by appending '@${PY_FLAVOR}' after the origin (or
@${FLAVOR} if in a Python module with Python flavors, as the content
will be the same). For example:
RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}six>0:devel/py-six@${PY_FLAVOR}
PR: 223071
Reviewed by: portmgr, python
Sponsored by: Absolight
Differential Revision: https://reviews.freebsd.org/D12464
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Approved by: portmgr blanket
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Approved by: portmgr blanket
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Approved by: portmgr (implicit)
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- Minor edits
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science)
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Approved by: glarkin@ (mentor, implicit)
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Approved by: wen@ (mentor)
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ChangeLog: http://packages.python.org/DendroPy/changes.html
PR: ports/159157
Submitted by: C-S <c-s@c-s.li> (maintainer)
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- Passed maintainership to submitter
- Switched to BSD license to adhere to upstream package
PR: ports/151178
Submitted by: Carlo Strub <c-s at c-s dot li>
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PR: ports/149415
Submitted by: Frederic Culot <frederic AT culot.org>
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Feature safe: yes
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- Reset maintainer
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Feature safe: yes
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simulation, data processing and manipulation.
WWW: http://packages.python.org/DendroPy/
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