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
- Drop ABI versions from LIB_DEPENDS
- OptionsNG
- Pet portlint
- Switch to dynamic plist where useful
- Canonicalize patch names
- Fix DOS line endings in patch files
intelligence?
A recent study published in PNAS, an important scientific journal,
shows that a particular memory task called Dual N-Back actually
improves working memory (short term memory) and fluid intelligence.
This finding is important because fluid intelligence was previously
thought to be unchangeable. The game involves remembering a sequence
of spoken letters and a sequence of positions of a square at the
same time.
In addition to its ability to closely replicate the conditions of
the original study by Jaeggi et al. (2008), Brain Workshop includes
optional extended game modes such as Triple N-Back and Arithmetic
N-Back. It also includes features such as statistics tracking,
graphs and easy configurability.
WWW: http://brainworkshop.sourceforge.net/
