average-test-suite.cc

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/*
 * 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 "ns3/average.h"
#include "ns3/test.h"
 
#include <cmath>
 
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();
    ~OneIntegerAverageTestCase() override;
 
  private:
    void DoRun() override;
};
 
OneIntegerAverageTestCase::OneIntegerAverageTestCase()
    : TestCase("Average Object Test using One Integer")
 
{
}
 
OneIntegerAverageTestCase::~OneIntegerAverageTestCase()
{
}
 
void
OneIntegerAverageTestCase::DoRun()
{
    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();
    ~FiveIntegersAverageTestCase() override;
 
  private:
    void DoRun() override;
};
 
FiveIntegersAverageTestCase::FiveIntegersAverageTestCase()
    : TestCase("Average Object Test using Five Integers")
 
{
}
 
FiveIntegersAverageTestCase::~FiveIntegersAverageTestCase()
{
}
 
void
FiveIntegersAverageTestCase::DoRun()
{
    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();
    ~FiveDoublesAverageTestCase() override;
 
  private:
    void DoRun() override;
};
 
FiveDoublesAverageTestCase::FiveDoublesAverageTestCase()
    : TestCase("Average Object Test using Five Double Values")
 
{
}
 
FiveDoublesAverageTestCase::~FiveDoublesAverageTestCase()
{
}
 
void
FiveDoublesAverageTestCase::DoRun()
{
    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;