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authorGravatar Hauke Heibel <hauke.heibel@gmail.com>2010-02-03 19:20:25 +0100
committerGravatar Hauke Heibel <hauke.heibel@gmail.com>2010-02-03 19:20:25 +0100
commit1a77334d5435f8edd6d7d756222207a8e3f268a6 (patch)
treedd1bee59b86fb434bc6b7194d1c05d60067da56d /unsupported/test
parent05837be8fb373d69840c5a1b0a0be14a1c52639b (diff)
Silenced type conversion warnings.
Diffstat (limited to 'unsupported/test')
-rw-r--r--unsupported/test/FFT.cpp4
-rw-r--r--unsupported/test/matrix_function.cpp5
2 files changed, 5 insertions, 4 deletions
diff --git a/unsupported/test/FFT.cpp b/unsupported/test/FFT.cpp
index 056be2ef3..9c2682724 100644
--- a/unsupported/test/FFT.cpp
+++ b/unsupported/test/FFT.cpp
@@ -46,10 +46,10 @@ complex<long double> promote(long double x) { return complex<long double>( x);
long double difpower=0;
cerr <<"idx\ttruth\t\tvalue\t|dif|=\n";
long double pi = acos((long double)-1);
- for (int k0=0;k0<fftbuf.size();++k0) {
+ for (int k0=0;k0<static_cast<int>(fftbuf.size());++k0) {
complex<long double> acc = 0;
long double phinc = -2.*k0* pi / timebuf.size();
- for (int k1=0;k1<timebuf.size();++k1) {
+ for (int k1=0;k1<static_cast<int>(timebuf.size());++k1) {
acc += promote( timebuf[k1] ) * exp( complex<long double>(0,k1*phinc) );
}
totalpower += norm(acc);
diff --git a/unsupported/test/matrix_function.cpp b/unsupported/test/matrix_function.cpp
index 3e25c6a6f..446fa7ec3 100644
--- a/unsupported/test/matrix_function.cpp
+++ b/unsupported/test/matrix_function.cpp
@@ -33,14 +33,15 @@ template<typename MatrixType>
MatrixType createRandomMatrix(const int size)
{
typedef typename MatrixType::Scalar Scalar;
+ typedef typename MatrixType::RealScalar RealScalar;
MatrixType result;
if (ei_random<int>(0,1) == 0) {
result = MatrixType::Random(size, size);
} else {
MatrixType diag = MatrixType::Zero(size, size);
for (int i = 0; i < size; ++i) {
- diag(i, i) = static_cast<Scalar>(ei_random<int>(0,2))
- + ei_random<Scalar>() * static_cast<Scalar>(0.01);
+ diag(i, i) = Scalar(RealScalar(ei_random<int>(0,2)))
+ + ei_random<Scalar>() * Scalar(RealScalar(0.01));
}
MatrixType A = MatrixType::Random(size, size);
result = A.inverse() * diag * A;