#include "src/include/catch.hpp"
#include "xbt/log.h"
#include "xbt/random.hpp"
+#include <random>
+#include <cmath>
+
+#define EPSILON (100*std::numeric_limits<double>::epsilon())
TEST_CASE("xbt::random: Random Number Generation")
{
- SECTION("Random")
+ SECTION("Using XBT_RNG_xbt")
{
simgrid::xbt::random::set_mersenne_seed(12345);
-
- REQUIRE(simgrid::xbt::random::exponential(25) == 0.00291934351538427348);
+ REQUIRE(simgrid::xbt::random::exponential(25) == Approx(0.00291934351538427348).epsilon(EPSILON));
REQUIRE(simgrid::xbt::random::uniform_int(1, 6) == 4);
- REQUIRE(simgrid::xbt::random::uniform_real(0, 1) == 0.31637556043369124970);
- REQUIRE(simgrid::xbt::random::normal(0, 2) == 1.62746784745133976635);
+ REQUIRE(simgrid::xbt::random::uniform_real(0, 1) == Approx(0.31637556043369124970).epsilon(EPSILON));
+ REQUIRE(simgrid::xbt::random::normal(0, 2) == Approx(1.62746784745133976635).epsilon(EPSILON));
+ }
+
+ SECTION("Using XBT_RNG_std")
+ {
+ std::mt19937 gen;
+ gen.seed(12345);
+
+ simgrid::xbt::random::set_mersenne_seed(12345);
+ simgrid::xbt::random::set_implem_std();
+
+ std::exponential_distribution<> distA(25);
+ std::uniform_int_distribution<> distB(1, 6);
+ std::uniform_real_distribution<> distC(0, 1);
+ std::normal_distribution<> distD(0, 2);
+
+ REQUIRE(simgrid::xbt::random::exponential(25) == Approx(distA(gen)).epsilon(EPSILON));
+ REQUIRE(simgrid::xbt::random::uniform_int(1, 6) == distB(gen));
+ REQUIRE(simgrid::xbt::random::uniform_real(0, 1) == Approx(distC(gen)).epsilon(EPSILON));
+ REQUIRE(simgrid::xbt::random::normal(0, 2) == Approx(distD(gen)).epsilon(EPSILON));
}
}