spack/var/spack/repos/builtin/packages/cgal/package.py
Abhik Sarkar 0ce8b9d398
Make boost minimal and composable (Original PR#22303) (#28623)
* Make boost composable

Currently Boost enables a few components through variants by default,
which means that if you want to use only what you need and no more, you
have to explicitly disable these variants, leading to concretization
errors whenever a second package explicitly needs those components.

For instance if package A only needs `+component_a` it might depend on
`boost +component_a ~component_b`. And if packge B only needs
`+component_b` it might depend on `boost ~component_a +component_b`. If
package C now depends on both A and B, this leads to unsatisfiable
variants and hence a concretization error.

However, if we default to disabling all components, package A can simply
depend on `boost +component_a` and package B on `boost +component_b` and
package C will concretize to depending on `boost +component_a
+component_b`, and whatever you install, you get the bare minimum.

* Fix style

* Added composable boost dependencies for folly

* fixing akantu merge issue

* hpctoolkit boost dependencies already defined

* Fix Styles

* Fixup style once more

* Adding isort fix

* isort one more time

* Fix for package audit issue

Co-authored-by: Harmen Stoppels <harmenstoppels@gmail.com>
Co-authored-by: Ryan O'Malley <rd.omalley@comcast.net>
2022-03-17 17:42:07 -06:00

124 lines
4.8 KiB
Python

# Copyright 2013-2022 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 import *
from spack.pkg.builtin.boost import Boost
class Cgal(CMakePackage):
"""The Computational Geometry Algorithms Library (CGAL) is a C++ library
that aims to provide easy access to efficient and reliable algorithms in
computational geometry. CGAL is used in various areas needing geometric
computation, such as geographic information systems, computer aided design,
molecular biology, medical imaging, computer graphics, and robotics.
"""
homepage = 'https://www.cgal.org/'
url = "https://github.com/CGAL/cgal/releases/download/releases/CGAL-5.0.3/CGAL-5.0.3.tar.xz"
version('5.0.3', sha256='e5a3672e35e5e92e3c1b4452cd3c1d554f3177dc512bd98b29edf21866a4288c')
version('5.0', sha256='e1e7e932988c5d149aa471c1afd69915b7603b5b31b9b317a0debb20ecd42dcc')
version('4.13', sha256='3e3dd7a64febda58be54c3cbeba329ab6a73b72d4d7647ba4931ecd1fad0e3bc')
version('4.12', sha256='442ef4fffb2ad6e4141e5a7902993ae6a4e73f7cb641fae1010bb586f6ca5e3f')
version('4.11', sha256='27a7762e5430f5392a1fe12a3a4abdfe667605c40224de1c6599f49d66cfbdd2')
version('4.9.1', sha256='56557da971b5310c2678ffc5def4109266666ff3adc7babbe446797ee2b90cca')
version('4.9', sha256='63ac5df71f912f34f2f0f2e54a303578df51f4ec2627db593a65407d791f9039')
version('4.7', sha256='50bd0a1cad7a8957b09012f831eebaf7d670e2a3467e8f365ec0c71fa5436369')
version('4.6.3', sha256='e338027b8767c0a7a6e4fd8679182d1b83b5b1a0da0a1fe4546e7c0ca094fc21')
variant('shared', default=True,
description='Enables the build of shared libraries')
variant('build_type', default='Release',
description='The build type to build',
values=('Debug', 'Release'))
variant('header_only', default=False,
description='Install in header only mode')
# ---- See "7 CGAL Libraries" at:
# https://doc.cgal.org/latest/Manual/installation.html
# The CORE library provides exact arithmetic for geometric computations.
# See: https://cs.nyu.edu/exact/core_pages/
# https://cs.nyu.edu/exact/core_pages/svn-core.html
variant('core', default=False,
description='Build the CORE library for algebraic numbers')
variant('imageio', default=False,
description='Build utilities to read/write image files')
variant('demos', default=False,
description='Build CGAL demos')
variant('eigen', default=True,
description='Build with Eigen support')
depends_on('cmake@2.8.11:', type='build')
# Essential Third Party Libraries
depends_on('boost+thread+system')
# TODO: replace this with an explicit list of components of Boost,
# for instance depends_on('boost +filesystem')
# See https://github.com/spack/spack/pull/22303 for reference
depends_on(Boost.with_default_variants)
depends_on('gmp')
depends_on('mpfr')
# Required for CGAL_ImageIO
# depends_on('opengl', when='+imageio') # not yet in Spack
depends_on('zlib')
# Optional to build CGAL_Qt5 (demos)
# depends_on('opengl', when='+demos') # not yet in Spack
depends_on('qt@5:', when='+demos')
# Optional Third Party Libraries
depends_on('eigen', when='+eigen')
# depends_on('leda')
# depends_on('mpfi')
# depends_on('rs')
# depends_on('rs3')
# depends_on('ntl')
# depends_on('libqglviewer')
# depends_on('esbtl')
# depends_on('intel-tbb')
conflicts('~header_only', when='@:4.9',
msg="Header only builds became optional in 4.9,"
" default thereafter")
def setup_build_environment(self, env):
spec = self.spec
env.set('BOOST_INCLUDEDIR', spec['boost'].headers.directories[0])
env.set('BOOST_LIBRARYDIR', spec['boost'].libs.directories[0])
if '+eigen' in spec:
env.set('EIGEN3_INC_DIR', spec['eigen'].headers.directories[0])
def cmake_args(self):
# Installation instructions:
# https://doc.cgal.org/latest/Manual/installation.html
spec = self.spec
variant_bool = lambda feature: str(feature in spec)
cmake_args = []
cmake_args.append(
'-DBUILD_SHARED_LIBS:BOOL=%s' % variant_bool('+shared')
)
cmake_args.append(
'-DWITH_CGAL_Core:BOOL=%s' % variant_bool('+core')
)
cmake_args.append(
'-DWITH_CGAL_ImageIO:BOOL=%s' % variant_bool('+imageio')
)
cmake_args.append(
'-DWITH_CGAL_Qt5:BOOL=%s' % variant_bool('+demos')
)
if spec.satisfies('@4.9:'):
cmake_args.append(
'-DCGAL_HEADER_ONLY:BOOL=%s' % variant_bool('+header_only')
)
return cmake_args