use different random generation

This commit is contained in:
Holger Nahrstaedt 2016-03-10 07:45:21 +01:00
parent 47b28c620d
commit 0c7cd6018b

View File

@ -109,10 +109,6 @@ BOOST_AUTO_TEST_CASE(ReconstructionTest)
double *inp,*out; double *inp,*out;
int N, i,J; int N, i,J;
double epsilon = 1e-15; double epsilon = 1e-15;
std::mt19937_64 rng;
rng.seed(1234);
// initialize a uniform distribution between 0 and 1
std::uniform_real_distribution<double> unif(0, 1);
N = 79926; N = 79926;
@ -123,7 +119,7 @@ BOOST_AUTO_TEST_CASE(ReconstructionTest)
//wmean = mean(temp, N); //wmean = mean(temp, N);
for (i = 0; i < N; ++i) { for (i = 0; i < N; ++i) {
inp[i] = unif(rng); inp[i] = (rand() / (double)(RAND_MAX + 1));
} }
std::vector<std::string > waveletNames; std::vector<std::string > waveletNames;