b5a48f44bc
* add commented test dependencies
Change-Id: I38ffd3caa77a59f2a0a7ae92a9c8e8215cf5b4d6
* readd make('test') to openssl
Change-Id: Ia3733a3848a2a26729b4050c7d4439ea9de17b1a
149 lines
6.2 KiB
Python
149 lines
6.2 KiB
Python
##############################################################################
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# Copyright (c) 2013-2018, Lawrence Livermore National Security, LLC.
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# Produced at the Lawrence Livermore National Laboratory.
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#
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# This file is part of Spack.
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# Created by Todd Gamblin, tgamblin@llnl.gov, All rights reserved.
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# LLNL-CODE-647188
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#
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# For details, see https://github.com/spack/spack
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# Please also see the NOTICE and LICENSE files for our notice and the LGPL.
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#
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU Lesser General Public License (as
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# published by the Free Software Foundation) version 2.1, February 1999.
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#
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# This program is distributed in the hope that it will be useful, but
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# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
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# conditions of the GNU Lesser General Public License for more details.
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#
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# You should have received a copy of the GNU Lesser General Public
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# License along with this program; if not, write to the Free Software
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# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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##############################################################################
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from spack import *
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class Flann(CMakePackage):
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"""FLANN is a library for performing fast approximate nearest neighbor
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searches in high dimensional spaces. It contains a collection of
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algorithms we found to work best for nearest neighbor search and a system
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for automatically choosing the best algorithm and optimum parameters
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depending on the dataset.
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FLANN is written in C++ and contains bindings for the following languages:
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C, MATLAB and Python.
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"""
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homepage = "http://www.cs.ubc.ca/research/flann/"
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url = "https://github.com/mariusmuja/flann/archive/1.9.1.tar.gz"
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version('1.9.1', '73adef1c7bf8e8b978987e7860926ea6')
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version('1.8.5', '02a81640b1e9c11796a0413976dc11f5')
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version('1.8.4', '774b74580e3cbc5b0d45c6ec345a64ae')
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version('1.8.1', '1f51500e172f5e11fbda05f033858eb6')
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version('1.8.0', '473150f592c2997e32d5ce31fd3c19a2')
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def url_for_version(self, version):
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if version > Version('1.8.1'):
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return "https://github.com/mariusmuja/flann/archive/{0}.tar.gz".format(version)
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else:
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return "https://github.com/mariusmuja/flann/archive/{0}-src.tar.gz".format(version)
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# Options available in the CMakeLists.txt
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# Language bindings
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variant("python", default=False,
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description="Build the Python bindings. "
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"Module: pyflann.")
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extends('python', when='+python')
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variant("matlab", default=False, description="Build the Matlab bindings.")
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# default to true for C because it's a C++ library, nothing extra needed
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variant("c", default=True, description="Build the C bindings.")
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# Must build C bindings for Python / Matlab
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conflicts("+python", when="~c")
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conflicts("+matlab", when="~c")
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# Additional options
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variant("cuda", default=False, description="Build the CUDA library.")
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variant("examples", default=False, description="Build the examples.")
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variant("doc", default=False, description="Build the documentation.")
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variant("openmp", default=True, description="Use OpenMP multi-threading.")
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# mpi and hdf5 are the bread and butter of this library, use 'em
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variant("mpi", default=True, description="Use MPI.")
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variant("hdf5", default=True, description="Enable HDF5 support.")
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# Dependencies
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extends("python", when="+python")
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depends_on("py-numpy", when="+python", type=("build", "run"))
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depends_on("matlab", when="+matlab", type=("build", "run"))
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depends_on("cuda", when="+cuda")
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depends_on("mpi", when="+mpi")
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depends_on("hdf5", when="+hdf5")
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# HDF5_IS_PARALLEL actually comes from hdf5+mpi
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# https://github.com/mariusmuja/flann/blob/06a49513138009d19a1f4e0ace67fbff13270c69/CMakeLists.txt#L108-L112
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depends_on("boost+mpi+system+serialization+thread", when="+mpi ^hdf5+mpi")
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# Doc deps
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depends_on("latex", when="+doc")
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# Example uses hdf5.
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depends_on("hdf5", when="+examples")
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depends_on('hdf5', type='test')
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depends_on('gtest', type='test')
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def patch(self):
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# Fix up the python setup.py call inside the install(CODE
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filter_file("setup.py install",
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'setup.py --no-user-cfg install --prefix=\\"{0}\\"'.format(
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self.prefix
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),
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"src/python/CMakeLists.txt")
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# Fix the install location so that spack activate works
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if '+python' in self.spec:
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filter_file("share/flann/python",
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site_packages_dir,
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"src/python/CMakeLists.txt")
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# Hack. Don't install setup.py
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filter_file("install( FILES",
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"# install( FILES",
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"src/python/CMakeLists.txt", string=True)
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def cmake_args(self):
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spec = self.spec
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args = []
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# Language bindings. Many default to true in CMakeLists, bypass all
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c_bind = "ON" if "+c" in spec else "OFF"
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args.append("-DBUILD_C_BINDINGS:BOOL={0}".format(c_bind))
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py_bind = "ON" if "+python" in spec else "OFF"
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args.append("-DBUILD_PYTHON_BINDINGS:BOOL={0}".format(py_bind))
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mat_bind = "ON" if "+matlab" in spec else "OFF"
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args.append("-DBUILD_MATLAB_BINDINGS:BOOL={0}".format(mat_bind))
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# Extra options
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cuda_lib = "ON" if "+cuda" in spec else "OFF"
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args.append("-DBUILD_CUDA_LIB:BOOL={0}".format(cuda_lib))
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examples = "ON" if "+examples" in spec else "OFF"
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args.append("-DBUILD_EXAMPLES:BOOL={0}".format(examples))
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use_openmp = "ON" if "+openmp" in spec else "OFF"
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args.append("-DUSE_OPENMP:BOOL={0}".format(use_openmp))
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use_mpi = "ON" if "+mpi" in spec else "OFF"
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args.append("-DUSE_MPI:BOOL={0}".format(use_mpi))
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# Configure the proper python executable
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if "+python" in spec:
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args.append(
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"-DPYTHON_EXECUTABLE={0}".format(spec["python"].command.path)
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)
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return args
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