(via Mk/bsd.default-versions.mk and lang/gcc) which has moved from
GCC 5.4 to GCC 6.4 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, c++11-lib, c++11-lang,
c++14-lang, c++0x, c11, or gcc-c++11-lib.
PR: 219275
lang/gcc which have moved from GCC 4.9.4 to GCC 5.4 (at least under some
circumstances such as versions of FreeBSD or platforms).
This includes ports
- with USE_GCC=yes or USE_GCC=any,
- with USES=fortran,
- using using Mk/bsd.octave.mk which in turn has USES=fortran, and
- with USES=compiler specifying openmp, nestedfct, c++11-lib, c++14-lang,
c++11-lang, c++0x, c11, or gcc-c++11-lib.
PR: 216707
- Support multiple values in *_OLD_CMD, i.e. we can now fix both "/usr/bin/python" and "/usr/bin/env python" at the same time
- Default *_OLD_CMD values are now always appended, so you don't need to specify them in individual ports
- Add lua support (depends on USES=lua)
- Add more default values, such as "/usr/bin/env foo" for python, perl, bash, ruby and lua
- Shebangfix now matches whole words, e.g. we will no longer (erroneously) replace "/usr/bin/perl5.005" with "${perl_CMD}5.005" (but "/usr/bin/perl -tt" is still (correctly) replaced with "${perl_CMD} -tt")
Note that *_OLD_CMD items containing spaces must now be quoted (e.g. perl_OLD_CMD=/bin/perl /usr/bin/perl "/usr/bin/env perl")
Update shebangfix usage according to new rules in many ports:
- Remove *_OLD_CMD for patterns now replaced by default
- Quote custom *_OLD_CMD which contain spaces
Fix shebangfix usage in many ports (irrelevant to infrastructure change):
- Remove redundant SHEBANG_LANG (no need to duplicate default langs)
- Remove redundant *_CMD (such as python_CMD=${LOCALBASE}/bin/python${PYTHON_VER} when USES=python is present)
- Never use *_OLD_CMD in REINPLACE_CMD matchers, these should always look for exact string
Approved by: portmgr (bapt)
Differential Revision: D3756
Moses is a statistical machine translation system that allows you to
automatically train translation models for any language pair. All you
need is a collection of translated texts (parallel corpus). Once you have a
trained model, an efficient search algorithm quickly finds the highest
probability translation among the exponential number of choices.
WWW: http://www.statmt.org/moses/
