1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
|
##############################################################################
# Copyright (c) 2013-2016, 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/llnl/spack
# Please also see the LICENSE file 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 Ppl(Package):
"""The Parma Polyhedra Library (PPL) provides numerical
abstractions especially targeted at applications in the field of
analysis and verification of complex systems. These abstractions
include convex polyhedra, some special classes of polyhedra shapes
that offer interesting complexity/precision tradeoffs, and grids
which represent regularly spaced points that satisfy a set of
linear congruence relations. The library also supports finite
powersets and products of polyhedra and grids, a mixed integer
linear programming problem solver using an exact-arithmetic
version of the simplex algorithm, a parametric integer programming
solver, and primitives for termination analysis via the automatic
synthesis of linear ranking functions."""
homepage = "http://bugseng.com/products/ppl/"
url = "http://bugseng.com/products/ppl/download/ftp/releases/1.1/ppl-1.1.tar.gz"
version('1.1', '4f2422c0ef3f409707af32108deb30a7')
depends_on("gmp")
def install(self, spec, prefix):
configure("--prefix=%s" % prefix,
"--with-gmp=%s" % spec['gmp'].prefix)
make()
make("install")
|