vcpkg/ports/shogun/CONTROL

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[openexr,openimageio,suitesparse,theia] updates for non-win32 (#6371) * [openexr,openimageio,suitesparse,theia] updates for non-win32 * [theia] use only valid cmake symbols * [suitesparse] Fix build * [lapack] still not properly integrating with other ports * [lapack] intercept cmake module calls and substitute them with our defs * [suitesparse,clapack] fixes for proper integration * [ceres,clapack] bump CONTROL * [suitesparse] remove unnecessary defs * [clapack] improve wrapper logic * [WIN32] remove wrong symbol * [clapack] fix wrapper integration * [Accelerate] use best framework when available * [clapack] separate config from wrapper * [clapack] fix paths and filenames * [mlpack,armadillo,clapack] improve library handling * [mlpack] remove unnecessary cmake option * [clp,coinutils,osi,liblemon] dependencies of openmvg, improve compatibility with non-win32 * [openmvg] fix for case-sensitive filesystems * [clp,coinutils,osi] simplify CMakeLists removing many unnecessary steps * [sophus] Force rebuild * [theia] fixes for linux, part1 * [io2d] remove broken sintax * [fontconfig] bump version to remove CI cached failure * [theia] fixes for linux, part2 * [theia] remove unnecessary empty folders and comments from portfile * [theia] use correct build type removing forced vars in cmakelists.txt * [openmvg] add missing suitesparse target detection * [sophus] fix Suitesparse dependency * [sophus,openmvg] use suitesparse lowercase for module compatibility on case-sensitive filesystems * [suitesparse] fixes for case-sensitive filesystems * [openmvg] use correct Eigen3 name for case-sensitive filesystems * [sophus] trigger rebuild * [shogun] use modern vcpkg style * [shogun] add missing cmake system processor symbol
2019-06-01 00:48:17 +02:00
Source: shogun
2020-08-28 07:13:05 +02:00
Version: 6.1.4
Port-Version: 4
Build-Depends: bzip2, eigen3, liblzma, libxml2, blas, nlopt, rxcpp, snappy, zlib, protobuf, curl, lzo, dirent
Homepage: https://github.com/shogun-toolbox/shogun
Description: Unified and efficient Machine Learning