New port: math/nanoflann: Header-only library for Nearest Neighbor (NN) search with KD-trees

This commit is contained in:
Yuri Victorovich 2018-10-04 03:53:55 +00:00
parent a525b4c2c2
commit 6b5949269b
Notes: svn2git 2021-03-31 03:12:20 +00:00
svn path=/head/; revision=481201
4 changed files with 55 additions and 0 deletions

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@ -363,6 +363,7 @@
SUBDIR += mumps-edf
SUBDIR += mumps-mpich
SUBDIR += muparser
SUBDIR += nanoflann
SUBDIR += naturalmath
SUBDIR += nauty
SUBDIR += ndiff

40
math/nanoflann/Makefile Normal file
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# $FreeBSD$
PORTNAME= nanoflann
DISTVERSIONPREFIX= v
DISTVERSION= 1.3.0
CATEGORIES= math
MAINTAINER= yuri@FreeBSD.org
COMMENT= Header-only library for Nearest Neighbor (NN) search with KD-trees
LICENSE= BSD2CLAUSE
LICENSE_FILE= ${WRKSRC}/COPYING
USES= cmake:outsource
USE_GITHUB= yes
GH_ACCOUNT= jlblancoc
CMAKE_OFF= BUILD_EXAMPLES BUILD_TESTS
NO_ARCH= yes
PLIST_FILES= include/nanoflann.hpp \
lib/cmake/nanoflann/nanoflannConfig.cmake \
lib/cmake/nanoflann/nanoflannConfigVersion.cmake \
lib/cmake/nanoflann/nanoflannTargets.cmake \
libdata/pkgconfig/nanoflann.pc
do-test:
@cd ${BUILD_WRKSRC} && \
${SETENV} ${CONFIGURE_ENV} ${CMAKE_BIN} ${CMAKE_ARGS} -DBUILD_TESTS=ON ${CMAKE_SOURCE_PATH} && \
${SETENV} ${MAKE_ENV} ${MAKE_CMD} ${MAKE_ARGS} ${ALL_TARGET} && \
${SETENV} ${MAKE_ENV} ${MAKE_CMD} ${MAKE_ARGS} test
benchmarks: build # benchmarks fail to run: https://github.com/jlblancoc/nanoflann/issues/100
@cd ${BUILD_WRKSRC} && \
${SETENV} ${CONFIGURE_ENV} ${CMAKE_BIN} ${CMAKE_ARGS} -DBUILD_BENCHMARKS=ON ${CMAKE_SOURCE_PATH} && \
${SETENV} ${MAKE_ENV} ${MAKE_CMD} ${MAKE_ARGS} ${ALL_TARGET} && \
${SETENV} ${MAKE_ENV} ${MAKE_CMD} ${MAKE_ARGS} benchmarks
.include <bsd.port.mk>

3
math/nanoflann/distinfo Normal file
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TIMESTAMP = 1538624079
SHA256 (jlblancoc-nanoflann-v1.3.0_GH0.tar.gz) = e0efc289422bc4cbaf8811d2f2c3c080ad09ac6d68a2b70134f3595d5da010cb
SIZE (jlblancoc-nanoflann-v1.3.0_GH0.tar.gz) = 684715

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math/nanoflann/pkg-descr Normal file
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nanoflann is a C++11 header-only library for building KD-Trees of datasets with
different topologies: R2, R3 (point clouds), SO(2) and SO(3) (2D and 3D rotation
groups). No support for approximate NN is provided. nanoflann does not require
compiling or installing. You just need to #include <nanoflann.hpp> in your code.
This library is a fork of the flann library by Marius Muja and David G. Lowe,
and born as a child project of MRPT. Following the original license terms,
nanoflann is distributed under the BSD license. Please, for bugs use the issues
button or fork and open a pull request.
WWW: https://github.com/jlblancoc/nanoflann