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# Copyright 2013-2023 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack.package 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 = "https://github.com/mariusmuja/flann"
url = "https://github.com/mariusmuja/flann/archive/1.9.1.tar.gz"
version("1.9.2", sha256="e26829bb0017f317d9cc45ab83ddcb8b16d75ada1ae07157006c1e7d601c8824")
version("1.9.1", sha256="b23b5f4e71139faa3bcb39e6bbcc76967fbaf308c4ee9d4f5bfbeceaa76cc5d3")
version("1.8.5", sha256="59a9925dac0705b281496ae52b5dfd79d6b69316d37015e3d3b38c859bac4f2f")
version("1.8.4", sha256="ed5843113150b3d6bc4c325fecb51337838a9fc09ad64bdb6aea79d6e610ee13")
version("1.8.1", sha256="82ff80709ca25365bca3367e87ffb4e0395fab068487314d02271bc3034591c1")
version("1.8.0", sha256="8a3eef79512870dec20b3a3e481e5e5e6da00d524b810a22ee186f13732f0fa1")
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")
depends_on("lz4", when="@1.9.2:")
# 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+regex+graph+chrono+exception", when="+mpi ^hdf5+mpi"
)
# Doc deps
depends_on("texlive", when="+doc")
# Example uses hdf5.
depends_on("hdf5", when="+examples")
depends_on("hdf5", type="test")
depends_on("googletest", type="test")
# See: https://github.com/mariusmuja/flann/issues/369
patch("linux-gcc-cmakev3.11-plus.patch", when="@:1.9.1%gcc^cmake@3.11:")
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", python_platlib, "src/python/CMakeLists.txt")
# Hack. Don't install setup.py
filter_file("install( FILES", "# install( FILES", "src/python/CMakeLists.txt", string=True)
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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