1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This file is part of Eigen, a lightweight C++ template library
2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// for linear algebra.
3c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
4c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
5c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2006-2008 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 EIGEN2_SUPPORT
12615d816d068b4d0f5e8df601930b5f160bf7eda1Tim Murray#define EIGEN_NO_EIGEN2_DEPRECATED_WARNING
13615d816d068b4d0f5e8df601930b5f160bf7eda1Tim Murray
14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#define EIGEN_NO_STATIC_ASSERT
15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include "main.h"
16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include <functional>
17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#ifdef min
19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#undef min
20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#endif
21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
22c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#ifdef max
23c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#undef max
24c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#endif
25c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathusing namespace std;
27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Scalar> struct AddIfNull {
29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    const Scalar operator() (const Scalar a, const Scalar b) const {return a<=1e-3 ? b : a;}
30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    enum { Cost = NumTraits<Scalar>::AddCost };
31c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
32c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
337faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandeztemplate<typename MatrixType>
347faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandeztypename Eigen::internal::enable_if<!NumTraits<typename MatrixType::Scalar>::IsInteger,typename MatrixType::Scalar>::type
357faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandezcwiseops_real_only(MatrixType& m1, MatrixType& m2, MatrixType& m3, MatrixType& mones)
367faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez{
377faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  typedef typename MatrixType::Scalar Scalar;
387faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  typedef typename NumTraits<Scalar>::Real RealScalar;
397faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez
407faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  VERIFY_IS_APPROX(m1.cwise() / m2,    m1.cwise() * (m2.cwise().inverse()));
417faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  m3 = m1.cwise().abs().cwise().sqrt();
427faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  VERIFY_IS_APPROX(m3.cwise().square(), m1.cwise().abs());
437faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  VERIFY_IS_APPROX(m1.cwise().square().cwise().sqrt(), m1.cwise().abs());
447faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  VERIFY_IS_APPROX(m1.cwise().abs().cwise().log().cwise().exp() , m1.cwise().abs());
457faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez
467faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  VERIFY_IS_APPROX(m1.cwise().pow(2), m1.cwise().square());
477faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  m3 = (m1.cwise().abs().cwise()<=RealScalar(0.01)).select(mones,m1);
487faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  VERIFY_IS_APPROX(m3.cwise().pow(-1), m3.cwise().inverse());
497faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  m3 = m1.cwise().abs();
507faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  VERIFY_IS_APPROX(m3.cwise().pow(RealScalar(0.5)), m3.cwise().sqrt());
517faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez
527faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez//   VERIFY_IS_APPROX(m1.cwise().tan(), m1.cwise().sin().cwise() / m1.cwise().cos());
537faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  VERIFY_IS_APPROX(mones, m1.cwise().sin().cwise().square() + m1.cwise().cos().cwise().square());
547faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  m3 = m1;
557faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  m3.cwise() /= m2;
567faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  VERIFY_IS_APPROX(m3, m1.cwise() / m2);
577faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez
587faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  return Scalar(0);
597faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez}
607faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez
617faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandeztemplate<typename MatrixType>
627faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandeztypename Eigen::internal::enable_if<NumTraits<typename MatrixType::Scalar>::IsInteger,typename MatrixType::Scalar>::type
637faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandezcwiseops_real_only(MatrixType& , MatrixType& , MatrixType& , MatrixType& )
647faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez{
657faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  return 0;
667faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez}
677faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez
68c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename MatrixType> void cwiseops(const MatrixType& m)
69c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
70c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename MatrixType::Index Index;
71c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename MatrixType::Scalar Scalar;
72c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
73c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
74c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Index rows = m.rows();
75c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Index cols = m.cols();
76c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
77c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  MatrixType m1 = MatrixType::Random(rows, cols),
787faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez             m1bis = m1,
79c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath             m2 = MatrixType::Random(rows, cols),
80c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath             m3(rows, cols),
81c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath             m4(rows, cols),
82c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath             mzero = MatrixType::Zero(rows, cols),
83c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath             mones = MatrixType::Ones(rows, cols),
84c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath             identity = Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime>
85c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                              ::Identity(rows, rows);
86c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VectorType vzero = VectorType::Zero(rows),
87c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath             vones = VectorType::Ones(rows),
88c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath             v3(rows);
89c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
90c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Index r = internal::random<Index>(0, rows-1),
91c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        c = internal::random<Index>(0, cols-1);
92c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
93c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Scalar s1 = internal::random<Scalar>();
94c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
95c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // test Zero, Ones, Constant, and the set* variants
96c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  m3 = MatrixType::Constant(rows, cols, s1);
97c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  for (int j=0; j<cols; ++j)
98c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    for (int i=0; i<rows; ++i)
99c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
100c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      VERIFY_IS_APPROX(mzero(i,j), Scalar(0));
101c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      VERIFY_IS_APPROX(mones(i,j), Scalar(1));
102c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      VERIFY_IS_APPROX(m3(i,j), s1);
103c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
104c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY(mzero.isZero());
105c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY(mones.isOnes());
106c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY(m3.isConstant(s1));
107c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY(identity.isIdentity());
108c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(m4.setConstant(s1), m3);
109c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(m4.setConstant(rows,cols,s1), m3);
110c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(m4.setZero(), mzero);
111c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(m4.setZero(rows,cols), mzero);
112c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(m4.setOnes(), mones);
113c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(m4.setOnes(rows,cols), mones);
114c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  m4.fill(s1);
115c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(m4, m3);
116c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
117c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(v3.setConstant(rows, s1), VectorType::Constant(rows,s1));
118c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(v3.setZero(rows), vzero);
119c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(v3.setOnes(rows), vones);
120c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
121c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  m2 = m2.template binaryExpr<AddIfNull<Scalar> >(mones);
122c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
123c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(m1.cwise().pow(2), m1.cwise().abs2());
124c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(m1.cwise().pow(2), m1.cwise().square());
125c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(m1.cwise().pow(3), m1.cwise().cube());
126c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
127c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(m1 + mones, m1.cwise()+Scalar(1));
128c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(m1 - mones, m1.cwise()-Scalar(1));
129c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  m3 = m1; m3.cwise() += 1;
130c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(m1 + mones, m3);
131c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  m3 = m1; m3.cwise() -= 1;
132c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(m1 - mones, m3);
133c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
134c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(m2, m2.cwise() * mones);
135c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(m1.cwise() * m2,  m2.cwise() * m1);
136c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  m3 = m1;
137c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  m3.cwise() *= m2;
138c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(m3, m1.cwise() * m2);
139c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
140c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(mones,    m2.cwise()/m2);
141c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
142c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // check min
143c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX( m1.cwise().min(m2), m2.cwise().min(m1) );
144c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX( m1.cwise().min(m1+mones), m1 );
145c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX( m1.cwise().min(m1-mones), m1-mones );
146c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
147c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // check max
148c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX( m1.cwise().max(m2), m2.cwise().max(m1) );
149c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX( m1.cwise().max(m1-mones), m1 );
150c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX( m1.cwise().max(m1+mones), m1+mones );
151c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
152c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY( (m1.cwise() == m1).all() );
153c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY( (m1.cwise() != m2).any() );
154c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY(!(m1.cwise() == (m1+mones)).any() );
155c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  if (rows*cols>1)
156c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
157c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    m3 = m1;
158c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    m3(r,c) += 1;
159c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY( (m1.cwise() == m3).any() );
160c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY( !(m1.cwise() == m3).all() );
161c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
162c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY( (m1.cwise().min(m2).cwise() <= m2).all() );
163c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY( (m1.cwise().max(m2).cwise() >= m2).all() );
164c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY( (m1.cwise().min(m2).cwise() < (m1+mones)).all() );
165c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY( (m1.cwise().max(m2).cwise() > (m1-mones)).all() );
166c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
167c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY( (m1.cwise()<m1.unaryExpr(bind2nd(plus<Scalar>(), Scalar(1)))).all() );
1687faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  VERIFY( !(m1.cwise()<m1bis.unaryExpr(bind2nd(minus<Scalar>(), Scalar(1)))).all() );
1697faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  VERIFY( !(m1.cwise()>m1bis.unaryExpr(bind2nd(plus<Scalar>(), Scalar(1)))).any() );
1707faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez
1717faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  cwiseops_real_only(m1, m2, m3, mones);
172c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
173c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
174c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid test_cwiseop()
175c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
176c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  for(int i = 0; i < g_repeat ; i++) {
177c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_1( cwiseops(Matrix<float, 1, 1>()) );
178c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_2( cwiseops(Matrix4d()) );
179c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_3( cwiseops(MatrixXf(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) );
180c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_4( cwiseops(MatrixXf(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) );
181c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_5( cwiseops(MatrixXi(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) );
182c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_6( cwiseops(MatrixXd(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) );
183c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
184c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
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