homebrew-core/Formula/cddlib.rb

93 lines
3.9 KiB
Ruby

class Cddlib < Formula
desc "Double description method for general polyhedral cones"
homepage "https://www.inf.ethz.ch/personal/fukudak/cdd_home/"
url "https://github.com/cddlib/cddlib/releases/download/0.94m/cddlib-0.94m.tar.gz"
sha256 "70dffdb3369b8704dc75428a1b3c42ab9047b81ce039f12f427e2eb2b1b0dee2"
license "GPL-2.0-or-later"
version_scheme 1
bottle do
sha256 cellar: :any, arm64_ventura: "768fd3254daf99ec710427f4f36f42ebcce984d14168684a633e5a86fe4c8c92"
sha256 cellar: :any, arm64_monterey: "dc6b3a52efe03676d1d97d2c70b3bb7d7f09bff623f13f259c2afb2f0d247704"
sha256 cellar: :any, arm64_big_sur: "a6cc39c5866ef92484b20b3e4fa71916e4fe02f91314f5a90e64a8ac6d477f5e"
sha256 cellar: :any, ventura: "d58420dfada364570f86deb3f6aca808f9de5ffd905e67f51473fd7e653ec570"
sha256 cellar: :any, monterey: "06ea555e6166ee528da1ebb86ba65dabf584d472ee7ebcdb5abb59f5dfe2381a"
sha256 cellar: :any, big_sur: "2d9ded9039be48632f55065ccc0cac90ee53bb41e9a900bd955997ae113eabd8"
sha256 cellar: :any, catalina: "3e3369de96b6c33641ec2c5a3e490afb72ad94b6fb913385f574089ec4b2b0be"
sha256 cellar: :any, mojave: "362934e5d50dc994ce268a690706d6950f17e1b191f315617adc0eeacc0b51b2"
sha256 cellar: :any_skip_relocation, x86_64_linux: "0cbfdb16a069a1c098e379da5b3f12c461f639f09f36addc65e5f07f27e1f1e9"
end
# Regenerate `configure` to avoid `-flat_namespace` bug.
# None of our usual patches apply.
depends_on "autoconf" => :build
depends_on "automake" => :build
depends_on "libtool" => :build
depends_on "gmp"
def install
system "autoreconf", "--force", "--install", "--verbose"
system "./configure", "--disable-dependency-tracking",
"--prefix=#{prefix}"
system "make", "install"
end
test do
(testpath/"test.cpp").write <<~EOS
#include "setoper.h"
#include "cdd.h"
#include <iostream>
int main(int argc, char *argv[])
{
dd_set_global_constants(); /* First, this must be called once to use cddlib. */
//std::cout << "Welcome to cddlib " << dd_DDVERSION << std::endl;
dd_ErrorType error=dd_NoError;
dd_LPSolverType solver; /* either DualSimplex or CrissCross */
dd_LPPtr lp;
dd_rowrange m;
dd_colrange n;
dd_NumberType numb;
dd_MatrixPtr A;
dd_ErrorType err;
numb=dd_Real; /* set a number type */
m=4; /* number of rows */
n=3; /* number of columns */
A=dd_CreateMatrix(m,n);
dd_set_si2(A->matrix[0][0],4,3); dd_set_si(A->matrix[0][1],-2); dd_set_si(A->matrix[0][2],-1);
dd_set_si2(A->matrix[1][0],2,3); dd_set_si(A->matrix[1][1], 0); dd_set_si(A->matrix[1][2],-1);
dd_set_si(A->matrix[2][0],0); dd_set_si(A->matrix[2][1], 1); dd_set_si(A->matrix[2][2], 0);
dd_set_si(A->matrix[3][0],0); dd_set_si(A->matrix[3][1], 0); dd_set_si(A->matrix[3][2], 1);
dd_set_si(A->rowvec[0],0); dd_set_si(A->rowvec[1], 3); dd_set_si(A->rowvec[2], 4);
A->objective=dd_LPmax;
lp=dd_Matrix2LP(A, &err); /* load an LP */
std::cout << std::endl << "--- LP to be solved ---" << std::endl;
dd_WriteLP(stdout, lp);
std::cout << std::endl << "--- Running dd_LPSolve ---" << std::endl;
solver=dd_DualSimplex;
dd_LPSolve(lp, solver, &error); /* Solve the LP */
//dd_WriteLPResult(stdout, lp, error);
std::cout << "optimal value:" << std::endl << *lp->optvalue << std::endl;
dd_FreeLPData(lp);
dd_FreeMatrix(A);
dd_free_global_constants();
return 0;
}
EOS
system ENV.cxx, "test.cpp", "-I#{include}/cddlib", "-L#{lib}", "-lcdd", "-o", "test"
assert_equal "3.66667", shell_output("./test").split[-1]
end
end