move to use Expedite (EFL benchmark) predictive random number generator.

1 files changed, 4 insertions, 4 deletions

diff --git a/src/cairo-tests/radial-gradient.cpp b/src/cairo-tests/radial-gradient.cpp
index 3fef5b6..1ee457b 100644
--- a/src/cairo-tests/radial-gradient.cpp
+++ b/src/cairo-tests/radial-gradient.cpp
@@ -45,10 +45,10 @@ ca_test_radial_gradient(caskbench_context_t *ctx)
     shapes_t shape;
     shape_copy(&ctx->shape_defaults, &shape);
     for (int i=0; i<ctx->size; i++) {
-        double x1 = (double)rand()/RAND_MAX * w;
-        double x2 = (double)rand()/RAND_MAX * w;
-        double y1 = (double)rand()/RAND_MAX * h;
-        double y2 = (double)rand()/RAND_MAX * h;
+        double x1 = (double)rnd()/RAND_MAX * w;
+        double x2 = (double)rnd()/RAND_MAX * w;
+        double y1 = (double)rnd()/RAND_MAX * h;
+        double y2 = (double)rnd()/RAND_MAX * h;
         double x = MIN(x1, x2);
         double y = MIN(y1, y2);