| Commit message (Collapse) | Author | Age | Files | Lines |
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FLAVOR is the current port's flavor, it should not be used outside of
this scope.
Sponsored by: Absolight
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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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- Update WWW
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With hat: portmgr
Sponsored by: Absolight
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Approved by: portmgr (implicit)
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- Pet portlint
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- Stage support
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math)
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svn path=/head/; revision=269117
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svn path=/head/; revision=262076
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svn path=/head/; revision=256006
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- Update my email to FreeBSD
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PR; 133360
Submitted by: Wen Heping <wenheping@gmail.com> (maintainer)
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PR: 129408
Submitted by: Wen Heping <wenheping@gmail.com> (maintainer)
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Reported by: erwinbot
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arithmetic. It provides an extensive set of transcendental functions,
unlimited exponent sizes, complex numbers, interval arithmetic,
numerical integration and differentiation, root-finding, linear algebra,
and much more. Almost any calculation can be performed just as well at
10-digit or 1000-digit precision, and in many cases mpmath implements
asymptotically fast algorithms that scale well for extremely high
precision work. If available, mpmath will (optionally) use gmpy to
speed up high precision operations.
WWW: http://code.google.com/p/mpmath/
PR: ports/128133
Submitted by: Wen Heping <wenheping at gmail.com>
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