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Remove usage of #if EIGEN_TEST_PART_XX in unit tests that does not require them (splitting can thus be avoided for them)

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This commit is contained in:
Gael Guennebaud
2018-07-17 15:52:58 +02:00
parent 82f0ce2726
commit dff3a92d52
12 changed files with 267 additions and 221 deletions
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54
test/eigensolver_generic.cpp
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@@ -100,6 +100,34 @@ template<typename MatrixType> void eigensolver_verify_assert(const MatrixType& m
VERIFY_RAISES_ASSERT(eig.pseudoEigenvectors());
}
template<int>
void eigensolver_generic_extra()
{
{
// regression test for bug 793
MatrixXd a(3,3);
a << 0, 0, 1,
1, 1, 1,
1, 1e+200, 1;
Eigen::EigenSolver<MatrixXd> eig(a);
double scale = 1e-200; // scale to avoid overflow during the comparisons
VERIFY_IS_APPROX(a * eig.pseudoEigenvectors()*scale, eig.pseudoEigenvectors() * eig.pseudoEigenvalueMatrix()*scale);
VERIFY_IS_APPROX(a * eig.eigenvectors()*scale, eig.eigenvectors() * eig.eigenvalues().asDiagonal()*scale);
}
{
// check a case where all eigenvalues are null.
MatrixXd a(2,2);
a << 1, 1,
-1, -1;
Eigen::EigenSolver<MatrixXd> eig(a);
VERIFY_IS_APPROX(eig.pseudoEigenvectors().squaredNorm(), 2.);
VERIFY_IS_APPROX((a * eig.pseudoEigenvectors()).norm()+1., 1.);
VERIFY_IS_APPROX((eig.pseudoEigenvectors() * eig.pseudoEigenvalueMatrix()).norm()+1., 1.);
VERIFY_IS_APPROX((a * eig.eigenvectors()).norm()+1., 1.);
VERIFY_IS_APPROX((eig.eigenvectors() * eig.eigenvalues().asDiagonal()).norm()+1., 1.);
}
}
EIGEN_DECLARE_TEST(eigensolver_generic)
{
int s = 0;
@@ -135,31 +163,7 @@ EIGEN_DECLARE_TEST(eigensolver_generic)
}
);
#ifdef EIGEN_TEST_PART_2
{
// regression test for bug 793
MatrixXd a(3,3);
a << 0, 0, 1,
1, 1, 1,
1, 1e+200, 1;
Eigen::EigenSolver<MatrixXd> eig(a);
double scale = 1e-200; // scale to avoid overflow during the comparisons
VERIFY_IS_APPROX(a * eig.pseudoEigenvectors()*scale, eig.pseudoEigenvectors() * eig.pseudoEigenvalueMatrix()*scale);
VERIFY_IS_APPROX(a * eig.eigenvectors()*scale, eig.eigenvectors() * eig.eigenvalues().asDiagonal()*scale);
}
{
// check a case where all eigenvalues are null.
MatrixXd a(2,2);
a << 1, 1,
-1, -1;
Eigen::EigenSolver<MatrixXd> eig(a);
VERIFY_IS_APPROX(eig.pseudoEigenvectors().squaredNorm(), 2.);
VERIFY_IS_APPROX((a * eig.pseudoEigenvectors()).norm()+1., 1.);
VERIFY_IS_APPROX((eig.pseudoEigenvectors() * eig.pseudoEigenvalueMatrix()).norm()+1., 1.);
VERIFY_IS_APPROX((a * eig.eigenvectors()).norm()+1., 1.);
VERIFY_IS_APPROX((eig.eigenvectors() * eig.eigenvalues().asDiagonal()).norm()+1., 1.);
}
#endif
CALL_SUBTEST_2( eigensolver_generic_extra<0>() );
TEST_SET_BUT_UNUSED_VARIABLE(s)
}