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##############################################################################
# Copyright (c) 2013-2017, Lawrence Livermore National Security, LLC.
# Produced at the Lawrence Livermore National Laboratory.
#
# This file is part of Spack.
# Created by Todd Gamblin, tgamblin@llnl.gov, All rights reserved.
# LLNL-CODE-647188
#
# For details, see https://github.com/spack/spack
# Please also see the NOTICE and LICENSE files for our notice and the LGPL.
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License (as
# published by the Free Software Foundation) version 2.1, February 1999.
#
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
# conditions of the GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this program; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
##############################################################################
from spack import *
class Flann(CMakePackage):
"""FLANN is a library for performing fast approximate nearest neighbor
searches in high dimensional spaces. It contains a collection of
algorithms we found to work best for nearest neighbor search and a system
for automatically choosing the best algorithm and optimum parameters
depending on the dataset.
FLANN is written in C++ and contains bindings for the following languages:
C, MATLAB and Python.
"""
homepage = "http://www.cs.ubc.ca/research/flann/"
url = "https://github.com/mariusmuja/flann/archive/1.9.1.tar.gz"
version('1.9.1', '73adef1c7bf8e8b978987e7860926ea6')
version('1.8.5', '02a81640b1e9c11796a0413976dc11f5')
version('1.8.4', '774b74580e3cbc5b0d45c6ec345a64ae')
version('1.8.1', '1f51500e172f5e11fbda05f033858eb6')
version('1.8.0', '473150f592c2997e32d5ce31fd3c19a2')
def url_for_version(self, version):
if version > Version('1.8.1'):
return "https://github.com/mariusmuja/flann/archive/{0}.tar.gz".format(version)
else:
return "https://github.com/mariusmuja/flann/archive/{0}-src.tar.gz".format(version)
# Options available in the CMakeLists.txt
# Language bindings
variant("python", default=False,
description="Build the Python bindings. "
"Module: pyflann.")
extends('python', when='+python')
variant("matlab", default=False, description="Build the Matlab bindings.")
# default to true for C because it's a C++ library, nothing extra needed
variant("c", default=True, description="Build the C bindings.")
# Must build C bindings for Python / Matlab
conflicts("+python", when="~c")
conflicts("+matlab", when="~c")
# Additional options
variant("cuda", default=False, description="Build the CUDA library.")
variant("examples", default=False, description="Build the examples.")
variant("doc", default=False, description="Build the documentation.")
variant("openmp", default=True, description="Use OpenMP multi-threading.")
# mpi and hdf5 are the bread and butter of this library, use 'em
variant("mpi", default=True, description="Use MPI.")
variant("hdf5", default=True, description="Enable HDF5 support.")
# Dependencies
extends("python", when="+python")
depends_on("py-numpy", when="+python", type=("build", "run"))
depends_on("matlab", when="+matlab", type=("build", "run"))
depends_on("cuda", when="+cuda")
depends_on("mpi", when="+mpi")
depends_on("hdf5", when="+hdf5")
# HDF5_IS_PARALLEL actually comes from hdf5+mpi
# https://github.com/mariusmuja/flann/blob/06a49513138009d19a1f4e0ace67fbff13270c69/CMakeLists.txt#L108-L112
depends_on("boost+mpi+system+serialization+thread", when="+mpi ^hdf5+mpi")
# Doc deps
depends_on("latex", when="+doc")
# Example uses hdf5.
depends_on("hdf5", when="+examples")
def patch(self):
# Fix up the python setup.py call inside the install(CODE
filter_file("setup.py install",
'setup.py --no-user-cfg install --prefix=\\"{0}\\"'.format(
self.prefix
),
"src/python/CMakeLists.txt")
# Fix the install location so that spack activate works
if '+python' in self.spec:
filter_file("share/flann/python",
site_packages_dir,
"src/python/CMakeLists.txt")
# Hack. Don't install setup.py
filter_file("install( FILES",
"# install( FILES",
"src/python/CMakeLists.txt", string=True)
# TODO: revisit after https://github.com/spack/spack/issues/1279
# depends_on('hdf5', type='test')
# depends_on('gtest', type='test')
def cmake_args(self):
spec = self.spec
args = []
# Language bindings. Many default to true in CMakeLists, bypass all
c_bind = "ON" if "+c" in spec else "OFF"
args.append("-DBUILD_C_BINDINGS:BOOL={0}".format(c_bind))
py_bind = "ON" if "+python" in spec else "OFF"
args.append("-DBUILD_PYTHON_BINDINGS:BOOL={0}".format(py_bind))
mat_bind = "ON" if "+matlab" in spec else "OFF"
args.append("-DBUILD_MATLAB_BINDINGS:BOOL={0}".format(mat_bind))
# Extra options
cuda_lib = "ON" if "+cuda" in spec else "OFF"
args.append("-DBUILD_CUDA_LIB:BOOL={0}".format(cuda_lib))
examples = "ON" if "+examples" in spec else "OFF"
args.append("-DBUILD_EXAMPLES:BOOL={0}".format(examples))
use_openmp = "ON" if "+openmp" in spec else "OFF"
args.append("-DUSE_OPENMP:BOOL={0}".format(use_openmp))
use_mpi = "ON" if "+mpi" in spec else "OFF"
args.append("-DUSE_MPI:BOOL={0}".format(use_mpi))
# Configure the proper python executable
if "+python" in spec:
args.append(
"-DPYTHON_EXECUTABLE={0}".format(spec["python"].command.path)
)
return args
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