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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2010 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
#define EIGEN_NO_STATIC_ASSERT
#include "main.h"
#undef VERIFY_IS_APPROX
#define VERIFY_IS_APPROX(a, b) VERIFY((a)==(b));
#undef VERIFY_IS_NOT_APPROX
#define VERIFY_IS_NOT_APPROX(a, b) VERIFY((a)!=(b));
template<typename MatrixType> void signed_integer_type_tests(const MatrixType& m)
{
typedef typename MatrixType::Index Index;
typedef typename MatrixType::Scalar Scalar;
enum { is_signed = (Scalar(-1) > Scalar(0)) ? 0 : 1 };
VERIFY(is_signed == 1);
Index rows = m.rows();
Index cols = m.cols();
MatrixType m1(rows, cols),
m2 = MatrixType::Random(rows, cols),
mzero = MatrixType::Zero(rows, cols);
do {
m1 = MatrixType::Random(rows, cols);
} while(m1 == mzero || m1 == m2);
// check linear structure
Scalar s1;
do {
s1 = internal::random<Scalar>();
} while(s1 == 0);
VERIFY_IS_EQUAL(-(-m1), m1);
VERIFY_IS_EQUAL(-m2+m1+m2, m1);
VERIFY_IS_EQUAL((-m1+m2)*s1, -s1*m1+s1*m2);
}
template<typename MatrixType> void integer_type_tests(const MatrixType& m)
{
typedef typename MatrixType::Index Index;
typedef typename MatrixType::Scalar Scalar;
VERIFY(NumTraits<Scalar>::IsInteger);
enum { is_signed = (Scalar(-1) > Scalar(0)) ? 0 : 1 };
VERIFY(int(NumTraits<Scalar>::IsSigned) == is_signed);
typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
Index rows = m.rows();
Index cols = m.cols();
// this test relies a lot on Random.h, and there's not much more that we can do
// to test it, hence I consider that we will have tested Random.h
MatrixType m1(rows, cols),
m2 = MatrixType::Random(rows, cols),
m3(rows, cols),
mzero = MatrixType::Zero(rows, cols);
typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime> SquareMatrixType;
SquareMatrixType identity = SquareMatrixType::Identity(rows, rows),
square = SquareMatrixType::Random(rows, rows);
VectorType v1(rows),
v2 = VectorType::Random(rows),
vzero = VectorType::Zero(rows);
do {
m1 = MatrixType::Random(rows, cols);
} while(m1 == mzero || m1 == m2);
do {
v1 = VectorType::Random(rows);
} while(v1 == vzero || v1 == v2);
VERIFY_IS_APPROX( v1, v1);
VERIFY_IS_NOT_APPROX( v1, 2*v1);
VERIFY_IS_APPROX( vzero, v1-v1);
VERIFY_IS_APPROX( m1, m1);
VERIFY_IS_NOT_APPROX( m1, 2*m1);
VERIFY_IS_APPROX( mzero, m1-m1);
VERIFY_IS_APPROX(m3 = m1,m1);
MatrixType m4;
VERIFY_IS_APPROX(m4 = m1,m1);
m3.real() = m1.real();
VERIFY_IS_APPROX(static_cast<const MatrixType&>(m3).real(), static_cast<const MatrixType&>(m1).real());
VERIFY_IS_APPROX(static_cast<const MatrixType&>(m3).real(), m1.real());
// check == / != operators
VERIFY(m1==m1);
VERIFY(m1!=m2);
VERIFY(!(m1==m2));
VERIFY(!(m1!=m1));
m1 = m2;
VERIFY(m1==m2);
VERIFY(!(m1!=m2));
// check linear structure
Scalar s1;
do {
s1 = internal::random<Scalar>();
} while(s1 == 0);
VERIFY_IS_EQUAL(m1+m1, 2*m1);
VERIFY_IS_EQUAL(m1+m2-m1, m2);
VERIFY_IS_EQUAL(m1*s1, s1*m1);
VERIFY_IS_EQUAL((m1+m2)*s1, s1*m1+s1*m2);
m3 = m2; m3 += m1;
VERIFY_IS_EQUAL(m3, m1+m2);
m3 = m2; m3 -= m1;
VERIFY_IS_EQUAL(m3, m2-m1);
m3 = m2; m3 *= s1;
VERIFY_IS_EQUAL(m3, s1*m2);
// check matrix product.
VERIFY_IS_APPROX(identity * m1, m1);
VERIFY_IS_APPROX(square * (m1 + m2), square * m1 + square * m2);
VERIFY_IS_APPROX((m1 + m2).transpose() * square, m1.transpose() * square + m2.transpose() * square);
VERIFY_IS_APPROX((m1 * m2.transpose()) * m1, m1 * (m2.transpose() * m1));
}
void test_integer_types()
{
for(int i = 0; i < g_repeat; i++) {
CALL_SUBTEST_1( integer_type_tests(Matrix<unsigned int, 1, 1>()) );
CALL_SUBTEST_1( integer_type_tests(Matrix<unsigned long, 3, 4>()) );
CALL_SUBTEST_2( integer_type_tests(Matrix<long, 2, 2>()) );
CALL_SUBTEST_2( signed_integer_type_tests(Matrix<long, 2, 2>()) );
CALL_SUBTEST_3( integer_type_tests(Matrix<char, 2, Dynamic>(2, 10)) );
CALL_SUBTEST_3( signed_integer_type_tests(Matrix<signed char, 2, Dynamic>(2, 10)) );
CALL_SUBTEST_4( integer_type_tests(Matrix<unsigned char, 3, 3>()) );
CALL_SUBTEST_4( integer_type_tests(Matrix<unsigned char, Dynamic, Dynamic>(20, 20)) );
CALL_SUBTEST_5( integer_type_tests(Matrix<short, Dynamic, 4>(7, 4)) );
CALL_SUBTEST_5( signed_integer_type_tests(Matrix<short, Dynamic, 4>(7, 4)) );
CALL_SUBTEST_6( integer_type_tests(Matrix<unsigned short, 4, 4>()) );
CALL_SUBTEST_7( integer_type_tests(Matrix<long long, 11, 13>()) );
CALL_SUBTEST_7( signed_integer_type_tests(Matrix<long long, 11, 13>()) );
CALL_SUBTEST_8( integer_type_tests(Matrix<unsigned long long, Dynamic, 5>(1, 5)) );
}
}
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