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authorGravatar Gael Guennebaud <g.gael@free.fr>2008-08-22 17:48:36 +0000
committerGravatar Gael Guennebaud <g.gael@free.fr>2008-08-22 17:48:36 +0000
commitf0394edfa7d063e37256e673cdecacd9f55f44ae (patch)
treea2e36374f3f51fc74f0d64c403f4368c8ae55d54 /test/linearstructure.cpp
parenta95c1e190b6963543950f4b7831fcc0b844bd95f (diff)
* bugfix in SolveTriangular found by Timothy Hunter (did not compiled for very small fixed size matrices)
* bugfix in Dot unroller * added special random generator for the unit tests and reduced the tolerance threshold by an order of magnitude this fixes issues with sum.cpp but other tests still failed sometimes, this have to be carefully checked...
Diffstat (limited to 'test/linearstructure.cpp')
-rw-r--r--test/linearstructure.cpp13
1 files changed, 6 insertions, 7 deletions
diff --git a/test/linearstructure.cpp b/test/linearstructure.cpp
index 8e20b450d..47f1cbed7 100644
--- a/test/linearstructure.cpp
+++ b/test/linearstructure.cpp
@@ -38,19 +38,18 @@ template<typename MatrixType> void linearStructure(const MatrixType& m)
// 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 = MatrixType::Random(rows, cols),
- m2 = MatrixType::Random(rows, cols),
+ MatrixType m1 = test_random_matrix<MatrixType>(rows, cols),
+ m2 = test_random_matrix<MatrixType>(rows, cols),
m3(rows, cols),
mzero = MatrixType::Zero(rows, cols),
identity = Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime>
::Identity(rows, rows),
- square = Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime>
- ::Random(rows, rows);
- VectorType v1 = VectorType::Random(rows),
- v2 = VectorType::Random(rows),
+ square = test_random_matrix<Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime> >(rows, rows);
+ VectorType v1 = test_random_matrix<VectorType>(rows),
+ v2 = test_random_matrix<VectorType>(rows),
vzero = VectorType::Zero(rows);
- Scalar s1 = ei_random<Scalar>();
+ Scalar s1 = test_random<Scalar>();
int r = ei_random<int>(0, rows-1),
c = ei_random<int>(0, cols-1);