aboutsummaryrefslogtreecommitdiffhomepage
path: root/test/main.h
diff options
context:
space:
mode:
authorGravatar Mark Borgerding <mark@borgerding.net>2010-03-07 23:46:26 -0500
committerGravatar Mark Borgerding <mark@borgerding.net>2010-03-07 23:46:26 -0500
commit101cc03176d6705e27b8576a4ce6fbb86c8f3055 (patch)
treec9de0f65908ec6fc55d1b8a23a536f744a18bfdc /test/main.h
parente31929337e8732a32aca21b0343dae22fbced510 (diff)
parent9fe040ad29400f152b392fff9dc1493a6b9c14aa (diff)
merge
Diffstat (limited to 'test/main.h')
-rw-r--r--test/main.h61
1 files changed, 58 insertions, 3 deletions
diff --git a/test/main.h b/test/main.h
index 64f70b394..0a5e0746f 100644
--- a/test/main.h
+++ b/test/main.h
@@ -95,6 +95,7 @@ namespace Eigen
#define ei_assert(a) \
if( (!(a)) && (!no_more_assert) ) \
{ \
+ std::cerr << #a << " " __FILE__ << "(" << __LINE__ << ")\n"; \
Eigen::no_more_assert = true; \
throw Eigen::ei_assert_exception(); \
} \
@@ -126,6 +127,7 @@ namespace Eigen
if( (!(a)) && (!no_more_assert) ) \
{ \
Eigen::no_more_assert = true; \
+ std::cerr << #a << " " __FILE__ << "(" << __LINE__ << ")\n"; \
throw Eigen::ei_assert_exception(); \
}
@@ -148,7 +150,7 @@ namespace Eigen
#define EIGEN_INTERNAL_DEBUGGING
#define EIGEN_NICE_RANDOM
-#include <Eigen/QR> // required for createRandomMatrixOfRank
+#include <Eigen/QR> // required for createRandomPIMatrixOfRank
#define VERIFY(a) do { if (!(a)) { \
@@ -157,6 +159,7 @@ namespace Eigen
exit(2); \
} } while (0)
+#define VERIFY_IS_EQUAL(a, b) VERIFY(test_is_equal(a, b))
#define VERIFY_IS_APPROX(a, b) VERIFY(test_ei_isApprox(a, b))
#define VERIFY_IS_NOT_APPROX(a, b) VERIFY(!test_ei_isApprox(a, b))
#define VERIFY_IS_MUCH_SMALLER_THAN(a, b) VERIFY(test_ei_isMuchSmallerThan(a, b))
@@ -342,8 +345,59 @@ inline bool test_isUnitary(const MatrixBase<Derived>& m)
return m.isUnitary(test_precision<typename ei_traits<Derived>::Scalar>());
}
+template<typename Derived1, typename Derived2,
+ bool IsVector = bool(Derived1::IsVectorAtCompileTime) && bool(Derived2::IsVectorAtCompileTime) >
+struct test_is_equal_impl
+{
+ static bool run(const Derived1& a1, const Derived2& a2)
+ {
+ if(a1.size() != a2.size()) return false;
+ // we evaluate a2 into a temporary of the shape of a1. this allows to let Assign.h handle the transposing if needed.
+ typename Derived1::PlainObject a2_evaluated(a2);
+ for(int i = 0; i < a1.size(); ++i)
+ if(a1.coeff(i) != a2_evaluated.coeff(i)) return false;
+ return true;
+ }
+};
+
+template<typename Derived1, typename Derived2>
+struct test_is_equal_impl<Derived1, Derived2, false>
+{
+ static bool run(const Derived1& a1, const Derived2& a2)
+ {
+ if(a1.rows() != a2.rows()) return false;
+ if(a1.cols() != a2.cols()) return false;
+ for(int j = 0; j < a1.cols(); ++j)
+ for(int i = 0; i < a1.rows(); ++i)
+ if(a1.coeff(i,j) != a2.coeff(i,j)) return false;
+ return true;
+ }
+};
+
+template<typename Derived1, typename Derived2>
+bool test_is_equal(const Derived1& a1, const Derived2& a2)
+{
+ return test_is_equal_impl<Derived1, Derived2>::run(a1, a2);
+}
+
+bool test_is_equal(const int actual, const int expected)
+{
+ if (actual==expected)
+ return true;
+ // false:
+ std::cerr
+ << std::endl << " actual = " << actual
+ << std::endl << " expected = " << expected << std::endl << std::endl;
+ return false;
+}
+
+/** Creates a random Partial Isometry matrix of given rank.
+ *
+ * A partial isometry is a matrix all of whose singular values are either 0 or 1.
+ * This is very useful to test rank-revealing algorithms.
+ */
template<typename MatrixType>
-void createRandomMatrixOfRank(int desired_rank, int rows, int cols, MatrixType& m)
+void createRandomPIMatrixOfRank(int desired_rank, int rows, int cols, MatrixType& m)
{
typedef typename ei_traits<MatrixType>::Scalar Scalar;
enum { Rows = MatrixType::RowsAtCompileTime, Cols = MatrixType::ColsAtCompileTime };
@@ -360,7 +414,8 @@ void createRandomMatrixOfRank(int desired_rank, int rows, int cols, MatrixType&
if(desired_rank == 1)
{
- m = VectorType::Random(rows) * VectorType::Random(cols).transpose();
+ // here we normalize the vectors to get a partial isometry
+ m = VectorType::Random(rows).normalized() * VectorType::Random(cols).normalized().transpose();
return;
}