1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This file is part of Eigen, a lightweight C++ template library
2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// for linear algebra. Eigen itself is part of the KDE project.
3c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
4c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
5c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
6c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This Source Code Form is subject to the terms of the Mozilla
7c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Public License v. 2.0. If a copy of the MPL was not distributed
8c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
9c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
10c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include "main.h"
11c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename MatrixType> void miscMatrices(const MatrixType& m)
13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  /* this test covers the following files:
15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath     DiagonalMatrix.h Ones.h
16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  */
17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename MatrixType::Scalar Scalar;
19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Matrix<Scalar, 1, MatrixType::ColsAtCompileTime> RowVectorType;
21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  int rows = m.rows();
22c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  int cols = m.cols();
23c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
24c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  int r = ei_random<int>(0, rows-1), r2 = ei_random<int>(0, rows-1), c = ei_random<int>(0, cols-1);
25c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(MatrixType::Ones(rows,cols)(r,c), static_cast<Scalar>(1));
26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  MatrixType m1 = MatrixType::Ones(rows,cols);
27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(m1(r,c), static_cast<Scalar>(1));
28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VectorType v1 = VectorType::Random(rows);
29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  v1[0];
30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime>
31c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  square = v1.asDiagonal();
32c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  if(r==r2) VERIFY_IS_APPROX(square(r,r2), v1[r]);
33c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  else VERIFY_IS_MUCH_SMALLER_THAN(square(r,r2), static_cast<Scalar>(1));
34c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  square = MatrixType::Zero(rows, rows);
35c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  square.diagonal() = VectorType::Ones(rows);
36c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(square, MatrixType::Identity(rows, rows));
37c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
38c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
39c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid test_eigen2_miscmatrices()
40c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
41c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  for(int i = 0; i < g_repeat; i++) {
42c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_1( miscMatrices(Matrix<float, 1, 1>()) );
43c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_2( miscMatrices(Matrix4d()) );
44c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_3( miscMatrices(MatrixXcf(3, 3)) );
45c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_4( miscMatrices(MatrixXi(8, 12)) );
46c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_5( miscMatrices(MatrixXcd(20, 20)) );
47c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
48c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
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