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* bugfix in SolveTriangular found by Timothy Hunter (did not compiled for very small fixed size matrices)

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* 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...
This commit is contained in:
Gael Guennebaud
2008-08-22 17:48:36 +00:00
parent a95c1e190b
commit f0394edfa7
14 changed files with 103 additions and 65 deletions
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24
test/main.h
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@@ -164,8 +164,8 @@ namespace Eigen {
template<typename T> inline typename NumTraits<T>::Real test_precision();
template<> inline int test_precision<int>() { return 0; }
template<> inline float test_precision<float>() { return 1e-3f; }
template<> inline double test_precision<double>() { return 1e-5; }
template<> inline float test_precision<float>() { return 1e-4f; }
template<> inline double test_precision<double>() { return 1e-6; }
template<> inline float test_precision<std::complex<float> >() { return test_precision<float>(); }
template<> inline double test_precision<std::complex<double> >() { return test_precision<double>(); }
@@ -221,6 +221,26 @@ inline bool test_ei_isMuchSmallerThan(const MatrixBase<Derived>& m,
return m.isMuchSmallerThan(s, test_precision<typename ei_traits<Derived>::Scalar>());
}
template<typename T> T test_random();
template<> int test_random() { return ei_random<int>(-100,100); }
template<> float test_random() { return float(ei_random<int>(-1000,1000)) / 256.f; }
template<> double test_random() { return double(ei_random<int>(-1000,1000)) / 256.; }
template<> std::complex<float> test_random()
{ return std::complex<float>(test_random<float>(),test_random<float>()); }
template<> std::complex<double> test_random()
{ return std::complex<double>(test_random<double>(),test_random<double>()); }
template<typename MatrixType>
MatrixType test_random_matrix(int rows = MatrixType::RowsAtCompileTime, int cols = MatrixType::ColsAtCompileTime)
{
MatrixType res(rows, cols);
for (int j=0; j<cols; ++j)
for (int i=0; i<rows; ++i)
res.coeffRef(i,j) = test_random<typename MatrixType::Scalar>();
return res;
}
} // end namespace Eigen