average-test-suite.cc

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/* -*- Mode:C++; c-file-style:"gnu"; indent-tabs-mode:nil; -*- */
/*
 * Copyright (c) 2012 University of Washington
 *
 * 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: Mitch Watrous (watrous@u.washington.edu)
 */
 
#include <cmath>
 
#include "ns3/test.h"
#include "ns3/average.h"
 
using namespace ns3;
 
// Note, the rationale for this particular value of TOLERANCE is not
// documented.  Current value is sufficient for all test platforms.
const double TOLERANCE = 2e-14;
 
class OneIntegerAverageTestCase : public TestCase
{
public:
  OneIntegerAverageTestCase ();
  virtual ~OneIntegerAverageTestCase ();
 
private:
  virtual void DoRun (void);
};
 
OneIntegerAverageTestCase::OneIntegerAverageTestCase ()
  : TestCase ("Average Object Test using One Integer")
 
{
}
 
OneIntegerAverageTestCase::~OneIntegerAverageTestCase ()
{
}
 
void
OneIntegerAverageTestCase::DoRun (void)
{
  Average<int> calculator;
 
  long count = 1;
 
  double sum = 0;
  double min;
  double max;
  double mean;
  double stddev;
  double variance;
 
  // Put all of the values into the calculator.
  int multiple = 5;
  int value;
  for (long i = 0; i < count; i++)
    {
      value = multiple * (i + 1);
 
      calculator.Update (value);
 
      sum    += value;
    }
 
  // Calculate the expected values for the statistical functions.
  min = multiple;
  max = multiple * count;
  mean = sum / count;
  variance = 0;
  stddev = std::sqrt (variance);
 
  // Test the calculator.
  NS_TEST_ASSERT_MSG_EQ_TOL (calculator.Count (), count, TOLERANCE, "Count value outside of tolerance " << TOLERANCE << "; difference: " << calculator.Count () - count);
  NS_TEST_ASSERT_MSG_EQ_TOL (calculator.Min (), min, TOLERANCE, "Min value outside of tolerance " << TOLERANCE << "; difference: " << calculator.Min () - min);
  NS_TEST_ASSERT_MSG_EQ_TOL (calculator.Max (), max, TOLERANCE, "Max value outside of tolerance " << TOLERANCE << "; difference: " << calculator.Max () - max);
  NS_TEST_ASSERT_MSG_EQ_TOL (calculator.Mean (), mean, TOLERANCE, "Mean value outside of tolerance " << TOLERANCE << "; difference: " << calculator.Mean () - mean);
  NS_TEST_ASSERT_MSG_EQ_TOL (calculator.Stddev (), stddev, TOLERANCE, "Stddev value outside of tolerance " << TOLERANCE << "; difference: " << calculator.Stddev () - stddev);
  NS_TEST_ASSERT_MSG_EQ_TOL (calculator.Var (), variance, TOLERANCE, "Variance value outside of tolerance " << TOLERANCE << "; difference: " << calculator.Var () - variance);
}
 
 
class FiveIntegersAverageTestCase : public TestCase
{
public:
  FiveIntegersAverageTestCase ();
  virtual ~FiveIntegersAverageTestCase ();
 
private:
  virtual void DoRun (void);
};
 
FiveIntegersAverageTestCase::FiveIntegersAverageTestCase ()
  : TestCase ("Average Object Test using Five Integers")
 
{
}
 
FiveIntegersAverageTestCase::~FiveIntegersAverageTestCase ()
{
}
 
void
FiveIntegersAverageTestCase::DoRun (void)
{
  Average<int> calculator;
 
  long count = 5;
 
  double sum = 0;
  double sqrSum = 0;
  double min;
  double max;
  double mean;
  double stddev;
  double variance;
 
  // Put all of the values into the calculator.
  int multiple = 5;
  int value;
  for (long i = 0; i < count; i++)
    {
      value = multiple * (i + 1);
 
      calculator.Update (value);
 
      sum    += value;
      sqrSum += value * value;
    }
 
  // Calculate the expected values for the statistical functions.
  min = multiple;
  max = multiple * count;
  mean = sum / count;
  variance = (count * sqrSum - sum * sum) / (count * (count - 1));
  stddev = std::sqrt (variance);
 
  // Test the calculator.
  NS_TEST_ASSERT_MSG_EQ_TOL (calculator.Count (), count, TOLERANCE, "Count value outside of tolerance " << TOLERANCE << "; difference: " << calculator.Count () - count);
  NS_TEST_ASSERT_MSG_EQ_TOL (calculator.Min (), min, TOLERANCE, "Min value outside of tolerance " << TOLERANCE << "; difference: " << calculator.Min () - min);
  NS_TEST_ASSERT_MSG_EQ_TOL (calculator.Max (), max, TOLERANCE, "Max value outside of tolerance " << TOLERANCE << "; difference: " << calculator.Max () - max);
  NS_TEST_ASSERT_MSG_EQ_TOL (calculator.Mean (), mean, TOLERANCE, "Mean value outside of tolerance " << TOLERANCE << "; difference: " << calculator.Mean () - mean);
  NS_TEST_ASSERT_MSG_EQ_TOL (calculator.Stddev (), stddev, TOLERANCE, "Stddev value outside of tolerance " << TOLERANCE << "; difference: " << calculator.Stddev () - stddev);
  NS_TEST_ASSERT_MSG_EQ_TOL (calculator.Var (), variance, TOLERANCE, "Variance value outside of tolerance " << TOLERANCE << "; difference: " << calculator.Var () - variance);
}
 
 
class FiveDoublesAverageTestCase : public TestCase
{
public:
  FiveDoublesAverageTestCase ();
  virtual ~FiveDoublesAverageTestCase ();
 
private:
  virtual void DoRun (void);
};
 
FiveDoublesAverageTestCase::FiveDoublesAverageTestCase ()
  : TestCase ("Average Object Test using Five Double Values")
 
{
}
 
FiveDoublesAverageTestCase::~FiveDoublesAverageTestCase ()
{
}
 
void
FiveDoublesAverageTestCase::DoRun (void)
{
  Average<double> calculator;
 
  long count = 5;
 
  double sum = 0;
  double sqrSum = 0;
  double min;
  double max;
  double mean;
  double stddev;
  double variance;
 
  // Put all of the values into the calculator.
  double multiple = 3.14;
  double value;
  for (long i = 0; i < count; i++)
    {
      value = multiple * (i + 1);
 
      calculator.Update (value);
 
      sum    += value;
      sqrSum += value * value;
    }
 
  // Calculate the expected values for the statistical functions.
  min = multiple;
  max = multiple * count;
  mean = sum / count;
  variance = (count * sqrSum - sum * sum) / (count * (count - 1));
  stddev = std::sqrt (variance);
 
  // Test the calculator.
  NS_TEST_ASSERT_MSG_EQ_TOL (calculator.Count (), count, TOLERANCE, "Count value outside of tolerance " << TOLERANCE << "; difference: " << calculator.Count () - count);
  NS_TEST_ASSERT_MSG_EQ_TOL (calculator.Min (), min, TOLERANCE, "Min value outside of tolerance " << TOLERANCE << "; difference: " << calculator.Min () - min);
  NS_TEST_ASSERT_MSG_EQ_TOL (calculator.Max (), max, TOLERANCE, "Max value outside of tolerance " << TOLERANCE << "; difference: " << calculator.Max () - max);
  NS_TEST_ASSERT_MSG_EQ_TOL (calculator.Mean (), mean, TOLERANCE, "Mean value outside of tolerance " << TOLERANCE << "; difference: " << calculator.Mean () - mean);
  NS_TEST_ASSERT_MSG_EQ_TOL (calculator.Stddev (), stddev, TOLERANCE, "Stddev value outside of tolerance " << TOLERANCE << "; difference: " << calculator.Stddev () - stddev);
  NS_TEST_ASSERT_MSG_EQ_TOL (calculator.Var (), variance, TOLERANCE, "Variance value outside of tolerance " << TOLERANCE << "; difference: " << calculator.Var () - variance);
}
 
 
class AverageTestSuite : public TestSuite
{
public:
  AverageTestSuite ();
};
 
AverageTestSuite::AverageTestSuite ()
  : TestSuite ("average", UNIT)
{
  AddTestCase (new OneIntegerAverageTestCase, TestCase::QUICK);
  AddTestCase (new FiveIntegersAverageTestCase, TestCase::QUICK);
  AddTestCase (new FiveDoublesAverageTestCase, TestCase::QUICK);
}
 
static AverageTestSuite averageTestSuite;