Added conservativeResize + unit test.

test/CMakeLists.txt

@@ -149,6 +149,7 @@ ei_add_test(sparse_solvers " " "${SPARSE_LIBS}")
 ei_add_test(umeyama)
 ei_add_test(householder)
 ei_add_test(swap)
+ei_add_test(conservative_resize)
 
 ei_add_property(EIGEN_TESTING_SUMMARY "CXX:               ${CMAKE_CXX_COMPILER}\n")
 if(CMAKE_COMPILER_IS_GNUCXX)

test/conservative_resize.cpp

@@ -0,0 +1,129 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra. Eigen itself is part of the KDE project.
+//
+// Copyright (C) 2009 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 or1 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>
+#include <Eigen/Array>
+
+using namespace Eigen;
+
+template <typename Scalar, int Storage>
+void run_matrix_tests()
+{
+  typedef Matrix<Scalar, Eigen::Dynamic, Eigen::Dynamic, Storage> MatrixType;
+
+  MatrixType m, n;
+
+  // boundary cases ...
+  m = n = MatrixType::Random(50,50);
+  m.conservativeResize(1,50);
+  VERIFY_IS_APPROX(m, n.block(0,0,1,50));
+
+  m = n = MatrixType::Random(50,50);
+  m.conservativeResize(50,1);
+  VERIFY_IS_APPROX(m, n.block(0,0,50,1));
+
+  m = n = MatrixType::Random(50,50);
+  m.conservativeResize(50,50);
+  VERIFY_IS_APPROX(m, n.block(0,0,50,50));
+
+  // random shrinking ...
+  for (int i=0; i<25; ++i)
+  {
+    const int rows = ei_random<int>(1,50);
+    const int cols = ei_random<int>(1,50);
+    m = n = MatrixType::Random(50,50);
+    m.conservativeResize(rows,cols);
+    VERIFY_IS_APPROX(m, n.block(0,0,rows,cols));
+  }
+
+  // random growing with zeroing ...
+  for (int i=0; i<25; ++i)
+  {
+    const int rows = ei_random<int>(50,75);
+    const int cols = ei_random<int>(50,75);
+    m = n = MatrixType::Random(50,50);
+    m.conservativeResize(rows,cols,true);
+    VERIFY_IS_APPROX(m.block(0,0,n.rows(),n.cols()), n);
+    VERIFY( rows<=50 || m.block(50,0,rows-50,cols).sum() == Scalar(0) );
+    VERIFY( cols<=50 || m.block(0,50,rows,cols-50).sum() == Scalar(0) );
+  }
+}
+
+template <typename Scalar>
+void run_vector_tests()
+{
+  typedef Matrix<Scalar, 1, Eigen::Dynamic> MatrixType;
+
+  MatrixType m, n;
+
+  // boundary cases ...
+  m = n = MatrixType::Random(50);
+  m.conservativeResize(1);
+  VERIFY_IS_APPROX(m, n.segment(0,1));
+
+  m = n = MatrixType::Random(50);
+  m.conservativeResize(50);
+  VERIFY_IS_APPROX(m, n.segment(0,50));
+
+  // random shrinking ...
+  for (int i=0; i<50; ++i)
+  {
+    const int size = ei_random<int>(1,50);
+    m = n = MatrixType::Random(50);
+    m.conservativeResize(size);
+    VERIFY_IS_APPROX(m, n.segment(0,size));
+  }
+
+  // random growing with zeroing ...
+  for (int i=0; i<50; ++i)
+  {
+    const int size = ei_random<int>(50,100);
+    m = n = MatrixType::Random(50);
+    m.conservativeResize(size,true);
+    VERIFY_IS_APPROX(m.segment(0,50), n);
+    VERIFY( size<=50 || m.segment(50,size-50).sum() == Scalar(0) );
+  }
+}
+
+void test_conservative_resize()
+{
+  run_matrix_tests<int, Eigen::RowMajor>();
+  run_matrix_tests<int, Eigen::ColMajor>();
+  run_matrix_tests<float, Eigen::RowMajor>();
+  run_matrix_tests<float, Eigen::ColMajor>();
+  run_matrix_tests<double, Eigen::RowMajor>();
+  run_matrix_tests<double, Eigen::ColMajor>();
+  run_matrix_tests<std::complex<float>, Eigen::RowMajor>();
+  run_matrix_tests<std::complex<float>, Eigen::ColMajor>();
+  run_matrix_tests<std::complex<double>, Eigen::RowMajor>();
+  run_matrix_tests<std::complex<double>, Eigen::ColMajor>();
+
+  run_vector_tests<int>();
+  run_vector_tests<float>();
+  run_vector_tests<double>();
+  run_vector_tests<std::complex<float> >();
+  run_vector_tests<std::complex<double> >();
+}