major folder reorganisation, R pkg is now epclust/ at first level. Experimental usage...

[epclust.git] / old_C_code / stage1 / test / Util / t.rng.c

diff --git a/old_C_code/stage1/test/Util/t.rng.c b/old_C_code/stage1/test/Util/t.rng.c
new file mode 100644 (file)
index 0000000..ee98b98
--- /dev/null
+++ b/old_C_code/stage1/test/Util/t.rng.c
@@ -0,0 +1,49 @@
+#include "lut.h"
+#include "Util/rng.h"
+#include <stdlib.h>
+#include <cds/Vector.h>
+#include <math.h>
+
+// Auxiliary to perform K-S test for a given flag, sample size and bins count
+void aux_ks_test(int flag, uint32_t N, uint32_t nBins)
+{
+       init_rng(flag);
+               
+       // Fill the bins
+       uint32_t bins[nBins];
+       for (uint32_t i=0; i<nBins; i++)
+               bins[i] = 0;
+       for (uint32_t i=0; i<N; i++)
+       {
+               Real rf = get_rand_real();
+               uint32_t index = floor(rf*nBins);
+               if (index >= nBins) index = nBins - 1; //in case of...
+               bins[index]++;
+       }
+       
+       // Test the bins
+       double ksThreshold = 1.358 / sqrt((double)N);
+       double countPerBin = (double)N / nBins;
+       uint32_t cumulativeSum = 0;
+       for (uint32_t i=0; i<nBins; i++)
+       {
+               cumulativeSum += bins[i];
+               LUT_ASSERT((double)cumulativeSum / N - (i+1)*countPerBin/N < ksThreshold);
+       }
+}
+
+// Kolmogorov-Smirnov test on random real numbers (flag==0)
+void t_rng1()
+{
+       aux_ks_test(0, 1000000, 1000);
+       aux_ks_test(0, 100000, 1000);
+       aux_ks_test(0, 10000, 100);
+}
+
+// Kolmogorov-Smirnov test on random real numbers (flag==1)
+void t_rng2()
+{
+       aux_ks_test(1, 1000000, 1000);
+       aux_ks_test(1, 100000, 1000);
+       aux_ks_test(1, 10000, 100);
+}