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authorCedric BAIL <cedric@osg.samsung.com>2014-08-28 11:06:28 +0200
committerBryce Harrington <bryce@osg.samsung.com>2014-09-29 17:49:59 -0700
commit3a39ac24ab3cba514510f20dc42fda5171f4d801 (patch)
treeda3813ecf5dc5fb31558e17573093f6ceec97a3d /src/cairo-tests/linear-gradient.cpp
parent717450eb6a9bcea235d3aa4eb2c9f61e49aacce0 (diff)
move to use Expedite (EFL benchmark) predictive random number generator.
Diffstat (limited to 'src/cairo-tests/linear-gradient.cpp')
-rw-r--r--src/cairo-tests/linear-gradient.cpp8
1 files changed, 4 insertions, 4 deletions
diff --git a/src/cairo-tests/linear-gradient.cpp b/src/cairo-tests/linear-gradient.cpp
index 6997c81..c5c610b 100644
--- a/src/cairo-tests/linear-gradient.cpp
+++ b/src/cairo-tests/linear-gradient.cpp
@@ -48,10 +48,10 @@ ca_test_linear_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);