1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This file is part of Eigen, a lightweight C++ template library
2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// for linear algebra.
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  typedef typename MatrixType::Index Index;
18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename MatrixType::Scalar Scalar;
19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Index rows = m.rows();
21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Index cols = m.cols();
22c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
23c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Index r = internal::random<Index>(0, rows-1), r2 = internal::random<Index>(0, rows-1), c = internal::random<Index>(0, cols-1);
24c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(MatrixType::Ones(rows,cols)(r,c), static_cast<Scalar>(1));
25c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  MatrixType m1 = MatrixType::Ones(rows,cols);
26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(m1(r,c), static_cast<Scalar>(1));
27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VectorType v1 = VectorType::Random(rows);
28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  v1[0];
29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime>
30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  square(v1.asDiagonal());
31c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  if(r==r2) VERIFY_IS_APPROX(square(r,r2), v1[r]);
32c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  else VERIFY_IS_MUCH_SMALLER_THAN(square(r,r2), static_cast<Scalar>(1));
33c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  square = MatrixType::Zero(rows, rows);
34c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  square.diagonal() = VectorType::Ones(rows);
35c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(square, MatrixType::Identity(rows, rows));
36c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
37c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
38c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid test_miscmatrices()
39c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
40c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  for(int i = 0; i < g_repeat; i++) {
41c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_1( miscMatrices(Matrix<float, 1, 1>()) );
42c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_2( miscMatrices(Matrix4d()) );
43c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_3( miscMatrices(MatrixXcf(3, 3)) );
44c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_4( miscMatrices(MatrixXi(8, 12)) );
45c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_5( miscMatrices(MatrixXcd(20, 20)) );
46c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
47c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
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