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) 2008 Gael Guennebaud <g.gael@free.fr>
5c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2008 Benoit Jacob <jacob.benoit.1@gmail.com>
6c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
7c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This Source Code Form is subject to the terms of the Mozilla
8c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Public License v. 2.0. If a copy of the MPL was not distributed
9c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
10c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
11c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#define EIGEN_WORK_AROUND_QT_BUG_CALLING_WRONG_OPERATOR_NEW_FIXED_IN_QT_4_5
12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include "main.h"
14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include <Eigen/Geometry>
16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include <Eigen/QtAlignedMalloc>
17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include <QtCore/QVector>
19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename MatrixType>
21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid check_qtvector_matrix(const MatrixType& m)
22c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
23c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  int rows = m.rows();
24c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  int cols = m.cols();
25c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  MatrixType x = MatrixType::Random(rows,cols), y = MatrixType::Random(rows,cols);
26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  QVector<MatrixType> v(10, MatrixType(rows,cols)), w(20, y);
27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  for(int i = 0; i < 20; i++)
28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_IS_APPROX(w[i], y);
30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
31c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  v[5] = x;
32c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  w[6] = v[5];
33c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(w[6], v[5]);
34c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  v = w;
35c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  for(int i = 0; i < 20; i++)
36c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
37c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_IS_APPROX(w[i], v[i]);
38c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
39c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
40c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  v.resize(21);
41c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  v[20] = x;
42c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(v[20], x);
43c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  v.fill(y,22);
44c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(v[21], y);
45c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  v.push_back(x);
46c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(v[22], x);
47c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY((size_t)&(v[22]) == (size_t)&(v[21]) + sizeof(MatrixType));
48c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
49c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // do a lot of push_back such that the vector gets internally resized
50c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // (with memory reallocation)
51c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  MatrixType* ref = &w[0];
52c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  for(int i=0; i<30 || ((ref==&w[0]) && i<300); ++i)
53c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    v.push_back(w[i%w.size()]);
54c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  for(int i=23; i<v.size(); ++i)
55c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
56c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY(v[i]==w[(i-23)%w.size()]);
57c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
58c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
59c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
60c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename TransformType>
61c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid check_qtvector_transform(const TransformType&)
62c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
63c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename TransformType::MatrixType MatrixType;
64c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  TransformType x(MatrixType::Random()), y(MatrixType::Random());
65c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  QVector<TransformType> v(10), w(20, y);
66c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  v[5] = x;
67c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  w[6] = v[5];
68c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(w[6], v[5]);
69c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  v = w;
70c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  for(int i = 0; i < 20; i++)
71c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
72c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_IS_APPROX(w[i], v[i]);
73c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
74c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
75c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  v.resize(21);
76c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  v[20] = x;
77c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(v[20], x);
78c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  v.fill(y,22);
79c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(v[21], y);
80c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  v.push_back(x);
81c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(v[22], x);
82c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY((size_t)&(v[22]) == (size_t)&(v[21]) + sizeof(TransformType));
83c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
84c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // do a lot of push_back such that the vector gets internally resized
85c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // (with memory reallocation)
86c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  TransformType* ref = &w[0];
87c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  for(int i=0; i<30 || ((ref==&w[0]) && i<300); ++i)
88c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    v.push_back(w[i%w.size()]);
89c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  for(unsigned int i=23; int(i)<v.size(); ++i)
90c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
91c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY(v[i].matrix()==w[(i-23)%w.size()].matrix());
92c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
93c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
94c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
95c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename QuaternionType>
96c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid check_qtvector_quaternion(const QuaternionType&)
97c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
98c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename QuaternionType::Coefficients Coefficients;
99c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  QuaternionType x(Coefficients::Random()), y(Coefficients::Random());
100c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  QVector<QuaternionType> v(10), w(20, y);
101c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  v[5] = x;
102c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  w[6] = v[5];
103c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(w[6], v[5]);
104c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  v = w;
105c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  for(int i = 0; i < 20; i++)
106c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
107c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_IS_APPROX(w[i], v[i]);
108c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
109c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
110c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  v.resize(21);
111c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  v[20] = x;
112c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(v[20], x);
113c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  v.fill(y,22);
114c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(v[21], y);
115c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  v.push_back(x);
116c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(v[22], x);
117c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY((size_t)&(v[22]) == (size_t)&(v[21]) + sizeof(QuaternionType));
118c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
119c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // do a lot of push_back such that the vector gets internally resized
120c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // (with memory reallocation)
121c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  QuaternionType* ref = &w[0];
122c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  for(int i=0; i<30 || ((ref==&w[0]) && i<300); ++i)
123c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    v.push_back(w[i%w.size()]);
124c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  for(unsigned int i=23; int(i)<v.size(); ++i)
125c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
126c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY(v[i].coeffs()==w[(i-23)%w.size()].coeffs());
127c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
128c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
129c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
130c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid test_eigen2_qtvector()
131c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
132c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // some non vectorizable fixed sizes
133c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CALL_SUBTEST_1(check_qtvector_matrix(Vector2f()));
134c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CALL_SUBTEST_1(check_qtvector_matrix(Matrix3f()));
135c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CALL_SUBTEST_1(check_qtvector_matrix(Matrix3d()));
136c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
137c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // some vectorizable fixed sizes
138c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CALL_SUBTEST_2(check_qtvector_matrix(Matrix2f()));
139c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CALL_SUBTEST_2(check_qtvector_matrix(Vector4f()));
140c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CALL_SUBTEST_2(check_qtvector_matrix(Matrix4f()));
141c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CALL_SUBTEST_2(check_qtvector_matrix(Matrix4d()));
142c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
143c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // some dynamic sizes
144c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CALL_SUBTEST_3(check_qtvector_matrix(MatrixXd(1,1)));
145c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CALL_SUBTEST_3(check_qtvector_matrix(VectorXd(20)));
146c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CALL_SUBTEST_3(check_qtvector_matrix(RowVectorXf(20)));
147c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CALL_SUBTEST_3(check_qtvector_matrix(MatrixXcf(10,10)));
148c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
149c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // some Transform
150c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CALL_SUBTEST_4(check_qtvector_transform(Transform2f()));
151c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CALL_SUBTEST_4(check_qtvector_transform(Transform3f()));
152c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CALL_SUBTEST_4(check_qtvector_transform(Transform3d()));
153c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  //CALL_SUBTEST_4(check_qtvector_transform(Transform4d()));
154c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
155c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // some Quaternion
156c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CALL_SUBTEST_5(check_qtvector_quaternion(Quaternionf()));
157c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CALL_SUBTEST_5(check_qtvector_quaternion(Quaternionf()));
158c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
159