--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/src/core/test/random-variable-test-suite.cc	Wed Apr 06 15:32:12 2011 -0700
@@ -0,0 +1,147 @@
+/* -*- Mode:C++; c-file-style:"gnu"; indent-tabs-mode:nil; -*- */
+//
+// Copyright (c) 2006 Georgia Tech Research Corporation
+//
+// This program is free software; you can redistribute it and/or modify
+// it under the terms of the GNU General Public License version 2 as
+// published by the Free Software Foundation;
+//
+// This program is distributed in the hope that it will be useful,
+// but WITHOUT ANY WARRANTY; without even the implied warranty of
+// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+// GNU General Public License for more details.
+//
+// You should have received a copy of the GNU General Public License
+// along with this program; if not, write to the Free Software
+// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
+//
+// Author: Rajib Bhattacharjea<raj.b@gatech.edu>
+// Author: Hadi Arbabi<marbabi@cs.odu.edu>
+//
+
+#include <iostream>
+#include <math.h>
+
+#include "ns3/test.h"
+#include "ns3/assert.h"
+#include "ns3/integer.h"
+#include "ns3/random-variable.h"
+
+using namespace std;
+
+namespace ns3 {
+class BasicRandomNumberTestCase : public TestCase
+{
+public:
+  BasicRandomNumberTestCase ();
+  virtual ~BasicRandomNumberTestCase ()
+  {
+  }
+
+private:
+  virtual void DoRun (void);
+};
+
+BasicRandomNumberTestCase::BasicRandomNumberTestCase ()
+  : TestCase ("Check basic random number operation")
+{
+}
+
+void
+BasicRandomNumberTestCase::DoRun (void)
+{
+  const double desiredMean = 1.0;
+  const double desiredStdDev = 1.0;
+
+  double tmp = log (1 + (desiredStdDev / desiredMean) * (desiredStdDev / desiredMean));
+  double sigma = sqrt (tmp);
+  double mu = log (desiredMean) - 0.5 * tmp;
+
+  //
+  // Test a custom lognormal instance to see if its moments have any relation
+  // expected reality.
+  //
+  LogNormalVariable lognormal (mu, sigma);
+  vector<double> samples;
+  const int NSAMPLES = 10000;
+  double sum = 0;
+
+  //
+  // Get and store a bunch of samples.  As we go along sum them and then find
+  // the mean value of the samples.
+  //
+  for (int n = NSAMPLES; n; --n)
+    {
+      double value = lognormal.GetValue ();
+      sum += value;
+      samples.push_back (value);
+    }
+  double obtainedMean = sum / NSAMPLES;
+  NS_TEST_EXPECT_MSG_EQ_TOL (obtainedMean, desiredMean, 0.1, "Got unexpected mean value from LogNormalVariable");
+
+  //
+  // Wander back through the saved stamples and find their standard deviation
+  //
+  sum = 0;
+  for (vector<double>::iterator iter = samples.begin (); iter != samples.end (); iter++)
+    {
+      double tmp = (*iter - obtainedMean);
+      sum += tmp * tmp;
+    }
+  double obtainedStdDev = sqrt (sum / (NSAMPLES - 1));
+  NS_TEST_EXPECT_MSG_EQ_TOL (obtainedStdDev, desiredStdDev, 0.1, "Got unexpected standard deviation from LogNormalVariable");
+}
+
+class RandomNumberSerializationTestCase : public TestCase
+{
+public:
+  RandomNumberSerializationTestCase ();
+  virtual ~RandomNumberSerializationTestCase ()
+  {
+  }
+
+private:
+  virtual void DoRun (void);
+};
+
+RandomNumberSerializationTestCase::RandomNumberSerializationTestCase ()
+  : TestCase ("Check basic random number operation")
+{
+}
+
+void
+RandomNumberSerializationTestCase::DoRun (void)
+{
+  RandomVariableValue val;
+  val.DeserializeFromString ("Uniform:0.1:0.2", MakeRandomVariableChecker ());
+  RandomVariable rng = val.Get ();
+  NS_TEST_ASSERT_MSG_EQ (val.SerializeToString (MakeRandomVariableChecker ()), "Uniform:0.1:0.2",
+                         "Deserialize and Serialize \"Uniform:0.1:0.2\" mismatch");
+
+  val.DeserializeFromString ("Normal:0.1:0.2", MakeRandomVariableChecker ());
+  rng = val.Get ();
+  NS_TEST_ASSERT_MSG_EQ (val.SerializeToString (MakeRandomVariableChecker ()), "Normal:0.1:0.2",
+                         "Deserialize and Serialize \"Normal:0.1:0.2\" mismatch");
+
+  val.DeserializeFromString ("Normal:0.1:0.2:0.15", MakeRandomVariableChecker ());
+  rng = val.Get ();
+  NS_TEST_ASSERT_MSG_EQ (val.SerializeToString (MakeRandomVariableChecker ()), "Normal:0.1:0.2:0.15",
+                         "Deserialize and Serialize \"Normal:0.1:0.2:0.15\" mismatch");
+}
+
+class BasicRandomNumberTestSuite : public TestSuite
+{
+public:
+  BasicRandomNumberTestSuite ();
+};
+
+BasicRandomNumberTestSuite::BasicRandomNumberTestSuite ()
+  : TestSuite ("basic-random-number", BVT)
+{
+  AddTestCase (new BasicRandomNumberTestCase);
+  AddTestCase (new RandomNumberSerializationTestCase);
+}
+
+static BasicRandomNumberTestSuite BasicRandomNumberTestSuite;
+
+} // namespace ns3