1 files changed, 114 insertions, 0 deletions
diff --git a/eigen/test/eigen2/eigen2_map.cpp b/eigen/test/eigen2/eigen2_map.cpp
new file mode 100644
index 0000000..4a1c4e1
--- /dev/null
+++ b/eigen/test/eigen2/eigen2_map.cpp
@@ -0,0 +1,114 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra. Eigen itself is part of the KDE project.
+//
+// Copyright (C) 2007-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#include "main.h"
+
+template<typename VectorType> void map_class_vector(const VectorType& m)
+{
+  typedef typename VectorType::Scalar Scalar;
+
+  int size = m.size();
+
+  // test Map.h
+  Scalar* array1 = ei_aligned_new<Scalar>(size);
+  Scalar* array2 = ei_aligned_new<Scalar>(size);
+  Scalar* array3 = new Scalar[size+1];
+  Scalar* array3unaligned = std::size_t(array3)%16 == 0 ? array3+1 : array3;
+  
+  Map<VectorType, Aligned>(array1, size) = VectorType::Random(size);
+  Map<VectorType>(array2, size) = Map<VectorType>(array1, size);
+  Map<VectorType>(array3unaligned, size) = Map<VectorType>((const Scalar*)array1, size); // test non-const-correctness support in eigen2
+  VectorType ma1 = Map<VectorType>(array1, size);
+  VectorType ma2 = Map<VectorType, Aligned>(array2, size);
+  VectorType ma3 = Map<VectorType>(array3unaligned, size);
+  VERIFY_IS_APPROX(ma1, ma2);
+  VERIFY_IS_APPROX(ma1, ma3);
+  
+  ei_aligned_delete(array1, size);
+  ei_aligned_delete(array2, size);
+  delete[] array3;
+}
+
+template<typename MatrixType> void map_class_matrix(const MatrixType& m)
+{
+  typedef typename MatrixType::Scalar Scalar;
+
+  int rows = m.rows(), cols = m.cols(), size = rows*cols;
+
+  // test Map.h
+  Scalar* array1 = ei_aligned_new<Scalar>(size);
+  for(int i = 0; i < size; i++) array1[i] = Scalar(1);
+  Scalar* array2 = ei_aligned_new<Scalar>(size);
+  for(int i = 0; i < size; i++) array2[i] = Scalar(1);
+  Scalar* array3 = new Scalar[size+1];
+  for(int i = 0; i < size+1; i++) array3[i] = Scalar(1);
+  Scalar* array3unaligned = std::size_t(array3)%16 == 0 ? array3+1 : array3;
+  Map<MatrixType, Aligned>(array1, rows, cols) = MatrixType::Ones(rows,cols);
+  Map<MatrixType>(array2, rows, cols) = Map<MatrixType>((const Scalar*)array1, rows, cols); // test non-const-correctness support in eigen2
+  Map<MatrixType>(array3unaligned, rows, cols) = Map<MatrixType>(array1, rows, cols);
+  MatrixType ma1 = Map<MatrixType>(array1, rows, cols);
+  MatrixType ma2 = Map<MatrixType, Aligned>(array2, rows, cols);
+  VERIFY_IS_APPROX(ma1, ma2);
+  MatrixType ma3 = Map<MatrixType>(array3unaligned, rows, cols);
+  VERIFY_IS_APPROX(ma1, ma3);
+  
+  ei_aligned_delete(array1, size);
+  ei_aligned_delete(array2, size);
+  delete[] array3;
+}
+
+template<typename VectorType> void map_static_methods(const VectorType& m)
+{
+  typedef typename VectorType::Scalar Scalar;
+
+  int size = m.size();
+
+  // test Map.h
+  Scalar* array1 = ei_aligned_new<Scalar>(size);
+  Scalar* array2 = ei_aligned_new<Scalar>(size);
+  Scalar* array3 = new Scalar[size+1];
+  Scalar* array3unaligned = std::size_t(array3)%16 == 0 ? array3+1 : array3;
+  
+  VectorType::MapAligned(array1, size) = VectorType::Random(size);
+  VectorType::Map(array2, size) = VectorType::Map(array1, size);
+  VectorType::Map(array3unaligned, size) = VectorType::Map(array1, size);
+  VectorType ma1 = VectorType::Map(array1, size);
+  VectorType ma2 = VectorType::MapAligned(array2, size);
+  VectorType ma3 = VectorType::Map(array3unaligned, size);
+  VERIFY_IS_APPROX(ma1, ma2);
+  VERIFY_IS_APPROX(ma1, ma3);
+  
+  ei_aligned_delete(array1, size);
+  ei_aligned_delete(array2, size);
+  delete[] array3;
+}
+
+
+void test_eigen2_map()
+{
+  for(int i = 0; i < g_repeat; i++) {
+    CALL_SUBTEST_1( map_class_vector(Matrix<float, 1, 1>()) );
+    CALL_SUBTEST_2( map_class_vector(Vector4d()) );
+    CALL_SUBTEST_3( map_class_vector(RowVector4f()) );
+    CALL_SUBTEST_4( map_class_vector(VectorXcf(8)) );
+    CALL_SUBTEST_5( map_class_vector(VectorXi(12)) );
+
+    CALL_SUBTEST_1( map_class_matrix(Matrix<float, 1, 1>()) );
+    CALL_SUBTEST_2( map_class_matrix(Matrix4d()) );
+    CALL_SUBTEST_6( map_class_matrix(Matrix<float,3,5>()) );
+    CALL_SUBTEST_4( map_class_matrix(MatrixXcf(ei_random<int>(1,10),ei_random<int>(1,10))) );
+    CALL_SUBTEST_5( map_class_matrix(MatrixXi(ei_random<int>(1,10),ei_random<int>(1,10))) );
+
+    CALL_SUBTEST_1( map_static_methods(Matrix<double, 1, 1>()) );
+    CALL_SUBTEST_2( map_static_methods(Vector3f()) );
+    CALL_SUBTEST_7( map_static_methods(RowVector3d()) );
+    CALL_SUBTEST_4( map_static_methods(VectorXcd(8)) );
+    CALL_SUBTEST_5( map_static_methods(VectorXf(12)) );
+  }
+}