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authorGravatar Gael Guennebaud <g.gael@free.fr>2009-12-16 17:37:21 +0100
committerGravatar Gael Guennebaud <g.gael@free.fr>2009-12-16 17:37:21 +0100
commit22a6ab1f4b473a97b1d9bf27eb91788f35d9ac40 (patch)
tree61184cea9d0ff4b38823f631417ad63f1599a694 /test/eigen2support.cpp
parent7a9988ebb6e87da84134901c568c00a5cb561809 (diff)
add an eigen2support test and a few fixes
Diffstat (limited to 'test/eigen2support.cpp')
-rw-r--r--test/eigen2support.cpp68
1 files changed, 68 insertions, 0 deletions
diff --git a/test/eigen2support.cpp b/test/eigen2support.cpp
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+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Gael Guennebaud <g.gael@free.fr>
+//
+// Eigen 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; either
+// version 3 of the License, or (at your option) any later version.
+//
+// Alternatively, you can redistribute it and/or
+// modify it under the terms of the GNU General Public License as
+// published by the Free Software Foundation; either version 2 of
+// the License, or (at your option) any later version.
+//
+// Eigen 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 GNU Lesser General Public License or the
+// GNU General Public License for more details.
+//
+// You should have received a copy of the GNU Lesser General Public
+// License and a copy of the GNU General Public License along with
+// Eigen. If not, see <http://www.gnu.org/licenses/>.
+
+#define EIGEN2_SUPPORT
+
+#include "main.h"
+
+template<typename MatrixType> void eigen2support(const MatrixType& m)
+{
+ typedef typename MatrixType::Scalar Scalar;
+
+ int rows = m.rows();
+ int cols = m.cols();
+
+ MatrixType m1 = MatrixType::Random(rows, cols),
+ m2 = MatrixType::Random(rows, cols),
+ m3(rows, cols);
+
+ Scalar s1 = ei_random<Scalar>(),
+ s2 = ei_random<Scalar>();
+
+ // scalar addition
+ VERIFY_IS_APPROX(m1.cwise() + s1, s1 + m1.cwise());
+ VERIFY_IS_APPROX(m1.cwise() + s1, MatrixType::Constant(rows,cols,s1) + m1);
+ VERIFY_IS_APPROX((m1*Scalar(2)).cwise() - s2, (m1+m1) - MatrixType::Constant(rows,cols,s2) );
+ m3 = m1;
+ m3.cwise() += s2;
+ VERIFY_IS_APPROX(m3, m1.cwise() + s2);
+ m3 = m1;
+ m3.cwise() -= s1;
+ VERIFY_IS_APPROX(m3, m1.cwise() - s1);
+
+
+
+}
+
+void test_eigen2support()
+{
+ for(int i = 0; i < g_repeat; i++) {
+ CALL_SUBTEST_1( eigen2support(Matrix<double,1,1>()) );
+ CALL_SUBTEST_2( eigen2support(MatrixXd(1,1)) );
+ CALL_SUBTEST_4( eigen2support(Matrix3f()) );
+ CALL_SUBTEST_5( eigen2support(Matrix4d()) );
+ CALL_SUBTEST_2( eigen2support(MatrixXf(200,200)) );
+ CALL_SUBTEST_6( eigen2support(MatrixXcd(100,100)) );
+ }
+}