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authorGravatar Gael Guennebaud <g.gael@free.fr>2008-06-21 17:28:07 +0000
committerGravatar Gael Guennebaud <g.gael@free.fr>2008-06-21 17:28:07 +0000
commit8cef541b5a69b6d795677897f4049a7f72fa9911 (patch)
treebb98a8a8faea171584da2cc1fcd53d39d74908c1
parent32c5ea388ef678c1aa24bf1c2164455a319c92f8 (diff)
forgot to add the unit test array.cpp
-rw-r--r--test/array.cpp101
1 files changed, 101 insertions, 0 deletions
diff --git a/test/array.cpp b/test/array.cpp
new file mode 100644
index 000000000..d05c4f72e
--- /dev/null
+++ b/test/array.cpp
@@ -0,0 +1,101 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra. Eigen itself is part of the KDE project.
+//
+// Copyright (C) 2008 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/>.
+
+#include "main.h"
+#include <Eigen/Array>
+
+template<typename MatrixType> void scalarAdd(const MatrixType& m)
+{
+ /* this test covers the following files:
+ Array.cpp
+ */
+
+ typedef typename MatrixType::Scalar Scalar;
+ typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
+
+ 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>();
+
+ VERIFY_IS_APPROX(m1.array() + s1, s1 + m1.array());
+ VERIFY_IS_APPROX(m1.array() + s1, MatrixType::constant(rows,cols,s1) + m1);
+ VERIFY_IS_APPROX((m1*Scalar(2)).array() - s2, (m1+m1) - MatrixType::constant(rows,cols,s2) );
+ m3 = m1;
+ m3.array() += s2;
+ VERIFY_IS_APPROX(m3, m1.array() + s2);
+ m3 = m1;
+ m3.array() -= s1;
+ VERIFY_IS_APPROX(m3, m1.array() - s1);
+}
+
+template<typename MatrixType> void comparisons(const MatrixType& m)
+{
+ typedef typename MatrixType::Scalar Scalar;
+ typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
+
+ int rows = m.rows();
+ int cols = m.cols();
+
+ int r = ei_random<int>(0, rows-1),
+ c = ei_random<int>(0, cols-1);
+
+ MatrixType m1 = MatrixType::random(rows, cols),
+ m2 = MatrixType::random(rows, cols),
+ m3(rows, cols);
+
+ VERIFY((m1.array() + Scalar(1)).array() > m1.array());
+ VERIFY((m1.array() - Scalar(1)).array() < m1.array());
+ if (rows*cols>1)
+ {
+ m3 = m1;
+ m3(r,c) += 1;
+ VERIFY(! (m1.array() < m3.array()) );
+ VERIFY(! (m1.array() > m3.array()) );
+ }
+}
+
+void test_array()
+{
+ for(int i = 0; i < g_repeat; i++) {
+ CALL_SUBTEST( scalarAdd(Matrix<float, 1, 1>()) );
+ CALL_SUBTEST( scalarAdd(Matrix2f()) );
+ CALL_SUBTEST( scalarAdd(Matrix4d()) );
+ CALL_SUBTEST( scalarAdd(MatrixXcf(3, 3)) );
+ CALL_SUBTEST( scalarAdd(MatrixXf(8, 12)) );
+ CALL_SUBTEST( scalarAdd(MatrixXi(8, 12)) );
+ }
+ for(int i = 0; i < g_repeat; i++) {
+ CALL_SUBTEST( comparisons(Matrix<float, 1, 1>()) );
+ CALL_SUBTEST( comparisons(Matrix2f()) );
+ CALL_SUBTEST( comparisons(Matrix4d()) );
+ CALL_SUBTEST( comparisons(MatrixXf(8, 12)) );
+ CALL_SUBTEST( comparisons(MatrixXi(8, 12)) );
+ }
+}