8 Commits

Author SHA1 Message Date
Tobias C. Berner
707c6bf295 Change cmake default behaviour to outsource.
Ports that build out of source now simply can use "USES=cmake"
instead of "USES=cmake:outsource". Ports that fail to build
out of source now need to specify "USES=cmake:insource".

I tried to only set insource where explictely needed.

PR:		232038
Exp-run by:	antoine
2018-12-25 20:25:39 +00:00
Gerald Pfeifer
a9f015d155 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
2018-12-12 01:35:33 +00:00
Jan Beich
7c879267dc devel/boost-*: update to 1.69.0
Changes:	http://www.boost.org/users/history/version_1_69_0.html
PR:		232525
Exp-run by:	antoine
Differential Revision:	https://reviews.freebsd.org/D17645
2018-12-12 00:15:49 +00:00
Danilo Egea Gondolfo
73834621b1 - Update math/armadillo to 9.200.4 2018-11-11 13:32:31 +00:00
Danilo Egea Gondolfo
3a5fd07d0f - Update to 9.100.4 2018-08-15 20:48:56 +00:00
Jan Beich
0b055d47f2 devel/boost-*: update to 1.68.0
- Switch to C++14 for libboost_system to support C++14 consumers

Changes:	http://www.boost.org/users/history/version_1_68_0.html
PR:		229569
Exp-run by:	antoine
Differential Revision:	https://reviews.freebsd.org/D16165
2018-08-09 06:58:30 +00:00
Kirill Ponomarev
52d7b0d3f1 Update to 3.0.1
PR:		228318
Submitted by:	maintainer
2018-05-19 16:34:16 +00:00
Kurt Jaeger
84ca93748f New port: math/mlpack
mlpack is a fast, flexible machine learning library, written in
C++, that aims to provide fast, extensible implementations of
cutting-edge machine learning algorithms. mlpack provides these
algorithms as simple command-line programs, Python bindings, and
C++ classes which can then be integrated into larger-scale machine
learning solutions.

WWW: http://www.mlpack.org/

PR:		228012
Submitted by:	robert.ayrapetyan@gmail.com
2018-05-06 14:35:51 +00:00