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PORTNAME= mlpack
DISTVERSION= 3.4.2
PORTREVISION= 2
CATEGORIES= math # machine-learning
MASTER_SITES= https://mlpack.org/files/
MAINTAINER= yuri@FreeBSD.org
COMMENT= Fast, flexible machine learning library
LICENSE= BSD3CLAUSE
BROKEN_i386= undefined symbol: __atomic_load
BUILD_DEPENDS= ensmallen>0:math/ensmallen \
${LOCALBASE}/include/stb/stb_image.h:devel/stb
LIB_DEPENDS= libboost_program_options.so:devel/boost-libs \
libboost_unit_test_framework.so:devel/boost-libs \
libboost_serialization.so:devel/boost-libs \
libarmadillo.so:math/armadillo
USES= cmake compiler:c++14-lang pkgconfig
USE_LDCONFIG= yes
CMAKE_ARGS= -DSTB_IMAGE_INCLUDE_DIR=${LOCALBASE}/include/stb
CMAKE_OFF= BUILD_PYTHON_BINDINGS BUILD_TESTS
BINARY_ALIAS= git=false
OPTIONS_DEFINE= EXECUTABLES
OPTIONS_DEFAULT= EXECUTABLES
OPTIONS_SUB= yes
EXECUTABLES_DESC= Build command-line executables
EXECUTABLES_CMAKE_BOOL= BUILD_CLI_EXECUTABLES
do-test: # 'clean' target below is a workaround for: https://github.com/mlpack/mlpack/issues/2300
@cd ${BUILD_WRKSRC} && \
${SETENV} ${MAKE_ENV} ${MAKE_CMD} ${MAKE_ARGS} clean && \
${SETENV} ${CONFIGURE_ENV} ${CMAKE_BIN} ${CMAKE_ARGS} -DBUILD_TESTS:BOOL=ON ${CMAKE_SOURCE_PATH} && \
${SETENV} ${MAKE_ENV} ${MAKE_CMD} ${MAKE_ARGS} ${ALL_TARGET} && \
${SETENV} ${MAKE_ENV} ${MAKE_CMD} ${MAKE_ARGS} test
.include <bsd.port.mk>
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