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fix a bunch of warnings (actual issues) reported by Frank

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This commit is contained in:
Benoit Jacob
2009-01-22 00:09:34 +00:00
parent 4225b7bf57
commit 9e3c73110a
5 changed files with 10 additions and 9 deletions
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3
test/lu.cpp
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@@ -28,9 +28,10 @@
template<typename Derived>
void doSomeRankPreservingOperations(Eigen::MatrixBase<Derived>& m)
{
typedef typename Derived::RealScalar RealScalar;
for(int a = 0; a < 3*(m.rows()+m.cols()); a++)
{
double d = Eigen::ei_random<double>(-1,1);
RealScalar d = Eigen::ei_random<RealScalar>(-1,1);
int i = Eigen::ei_random<int>(0,m.rows()-1); // i is a random row number
int j;
do {

2
test/meta.cpp
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@@ -45,9 +45,7 @@ void test_meta()
VERIFY(( ei_is_same_type<float*,ei_unconst<const float*>::type >::ret));
VERIFY(( ei_is_same_type<float&,ei_unconst<const float&>::type >::ret));
VERIFY(( ei_is_same_type<float&,ei_unconst<const FloatRef>::type >::ret));
VERIFY(( ei_is_same_type<float&,ei_unconst<ConstFloatRef>::type >::ret));
VERIFY(( ei_is_same_type<float&,ei_unconst<const ConstFloatRef>::type >::ret));
VERIFY(( ei_is_same_type<float&,ei_unconst<float&>::type >::ret));
VERIFY(( ei_is_same_type<float,ei_unref<float&>::type >::ret));

2
test/nomalloc.cpp
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@@ -24,7 +24,9 @@
// Eigen. If not, see <http://www.gnu.org/licenses/>.
// this hack is needed to make this file compiles with -pedantic (gcc)
#ifdef __GNUC__
#define throw(X)
#endif
// discard stack allocation as that too bypasses malloc
#define EIGEN_STACK_ALLOCATION_LIMIT 0
// any heap allocation will raise an assert

2
test/sum.cpp
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@@ -34,7 +34,7 @@ template<typename MatrixType> void matrixSum(const MatrixType& m)
MatrixType m1 = MatrixType::Random(rows, cols);
VERIFY_IS_MUCH_SMALLER_THAN(MatrixType::Zero(rows, cols).sum(), Scalar(1));
VERIFY_IS_APPROX(MatrixType::Ones(rows, cols).sum(), Scalar(rows*cols));
VERIFY_IS_APPROX(MatrixType::Ones(rows, cols).sum(), Scalar(float(rows*cols))); // the float() here to shut up excessive MSVC warning about int->complex conversion being lossy
Scalar x = Scalar(0);
for(int i = 0; i < rows; i++) for(int j = 0; j < cols; j++) x += m1(i,j);
VERIFY_IS_APPROX(m1.sum(), x);