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authorGravatar Hauke Heibel <hauke.heibel@gmail.com>2013-08-02 19:59:43 +0200
committerGravatar Hauke Heibel <hauke.heibel@gmail.com>2013-08-02 19:59:43 +0200
commit7c99b38b7c34c5a031e347b81277e67ab9cfdd93 (patch)
tree488f5619034985df75d10ec1bb7d196fa122e131 /test/rvalue_types.cpp
parentb72a686830b95afd8941d3c4020eb936628b6398 (diff)
Added move support for Matrix and Array.
Added EIGEN_HAVE_RVALUE_REFERENCES define. Added move unit tests. Removed superfluous 'inline' declarations in DenseStorage.
Diffstat (limited to 'test/rvalue_types.cpp')
-rw-r--r--test/rvalue_types.cpp73
1 files changed, 73 insertions, 0 deletions
diff --git a/test/rvalue_types.cpp b/test/rvalue_types.cpp
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+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2010 Hauke Heibel <hauke.heibel@gmail.com>
+//
+// 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/Core>
+
+template <typename MatrixType>
+void rvalue_copyassign(const MatrixType& m)
+{
+#ifdef EIGEN_HAVE_RVALUE_REFERENCES
+ typedef typename internal::traits<MatrixType>::Scalar Scalar;
+
+ // create a temporary which we are about to destroy by moving
+ MatrixType tmp = m;
+ long src_address = reinterpret_cast<long>(tmp.data());
+
+ // move the temporary to n
+ MatrixType n = std::move(tmp);
+ long dst_address = reinterpret_cast<long>(n.data());
+
+ if (MatrixType::RowsAtCompileTime==Dynamic|| MatrixType::ColsAtCompileTime==Dynamic)
+ {
+ // verify that we actually moved the guts
+ VERIFY_IS_EQUAL(src_address, dst_address);
+ }
+
+ // verify that the content did not change
+ Scalar abs_diff = (m-n).array().abs().sum();
+ VERIFY_IS_EQUAL(abs_diff, Scalar(0));
+#endif
+}
+
+void test_rvalue_types()
+{
+ CALL_SUBTEST_1(rvalue_copyassign( MatrixXf::Random(50,50).eval() ));
+ CALL_SUBTEST_1(rvalue_copyassign( ArrayXXf::Random(50,50).eval() ));
+
+ CALL_SUBTEST_1(rvalue_copyassign( Matrix<float,1,Dynamic>::Random(50).eval() ));
+ CALL_SUBTEST_1(rvalue_copyassign( Array<float,1,Dynamic>::Random(50).eval() ));
+
+ CALL_SUBTEST_1(rvalue_copyassign( Matrix<float,Dynamic,1>::Random(50).eval() ));
+ CALL_SUBTEST_1(rvalue_copyassign( Array<float,Dynamic,1>::Random(50).eval() ));
+
+ CALL_SUBTEST_2(rvalue_copyassign( Array<float,2,1>::Random().eval() ));
+ CALL_SUBTEST_2(rvalue_copyassign( Array<float,3,1>::Random().eval() ));
+ CALL_SUBTEST_2(rvalue_copyassign( Array<float,4,1>::Random().eval() ));
+
+ CALL_SUBTEST_2(rvalue_copyassign( Array<float,2,2>::Random().eval() ));
+ CALL_SUBTEST_2(rvalue_copyassign( Array<float,3,3>::Random().eval() ));
+ CALL_SUBTEST_2(rvalue_copyassign( Array<float,4,4>::Random().eval() ));
+}