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f3b96f339c
* [vcpkg/script] add vcpkg_find_fortran * [openblas] add pkg-config fixes * [lapack] add lapack-reference and reduce dependency on clapack * fix build issues * dont touch any main files * move toolchain var into parent scope * fix a few more issues * create link in the noblas case * removed unnecessary check handled by vcpkg_find_fortran. * move dumpbin check * fix last issue * depend on openblas * set cmake_binary_dir so that compiler id run gets put into buildtree. * more paths * add missing PARENT_SCOPE * ws change * [mlpack] remove dep on clapack * comment out patches * remove openblas again * Install lapack wrapper since it is missing linkage against -lm and -lgfortran * PREPEND mingw path to make sure cmake picks it up correctly * depend on openblas also on osx * add clapack on windows to skip due to conflicting library installs * add clapack to skip on linux * add -fPIC as a fortran compiler flag * do not add the flag on windows * add gcc explicitly to the cmake args. * ws change * applyrequested changes from CR * fix the failing patch
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404 B
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10 lines
404 B
Plaintext
Source: mlpack
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Version: 3.2.2
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Port-Version: 5
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Homepage: https://github.com/mlpack/mlpack
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Description: mlpack is a fast, flexible machine learning library, written in C++, that aims to provide fast, extensible implementations of cutting-edge machine learning algorithms.
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Build-Depends: openblas (!osx), lapack, boost, armadillo, ensmallen, stb
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Feature: tools
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Description: Build command-line executables.
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