public BoxSummaryData Calculate(SingleTracingResults singleTechniqueResults, TLDataset dataset)
        {
            SortedDictionary<string, double> intermediateResults = m_metricComputation.Calculate(singleTechniqueResults.ResultMatrix, dataset);

            double[] dataPoints = intermediateResults.Values.ToArray();
            if (dataPoints.Length == 0 && m_logger != null)
            {
                m_logger.Warn("Metric computation of '" + m_metricName + "' returned zero matching results for " + dataset.Name + " for one of the techniques. It may be valid results, but it may also mean that there is mismatch of ids in the answer matrix and corresponding artifacts." );
            }

            var summaryData = new BoxSummaryData(m_metricName, m_metricDescription);
            summaryData.AddPoint(new BoxPlotPoint(dataPoints));

            return summaryData;
        }
 /// <summary>
 /// Generates a summarizing Metric for results analysis
 /// </summary>
 /// <returns>Metric object</returns>
 protected override Metric GenerateSummaryImplementation()
 {
     BoxSummaryData data = new BoxSummaryData(Name, Description);
     data.AddPoint(new BoxPlotPoint(Results.Values.ToArray()));
     return data;
 }
        public void ExperimentResultsRawSerializationTest()
        {
            int n = 0;
            TLExperimentResults expResultsIn = new TLExperimentResults("Technique " + n++);
            for (int k = 0; k < 5; k++)
            {
                DatasetResults dataResults = new DatasetResults("Dataset " + n++);
                for (int i = 0; i < 10; i++)
                {
                    LineSeries line = new LineSeries("Line " + i, "Description " + n++);
                    for (int j = 1000 * i; j < 1000; j++)
                    {
                        line.AddPoint(new Point(j, j + 1));
                    }
                    dataResults.AddMetric(line);

                    BoxSummaryData box = new BoxSummaryData("Box " + i, "Description " + n++);
                    for (int j = 0; j < 100; j++)
                    {
                        box.AddPoint(new BoxPlotPoint(j, j + 1, j + 2, j + 3, j + 4, j + 5, j + 6, j + 7));
                    }
                    dataResults.AddMetric(box);
                }
                expResultsIn.AddDatasetResult(dataResults);
            }

            BinaryWriter binWriter = new BinaryWriter(new MemoryStream());
            BinaryReader binReader = new BinaryReader(binWriter.BaseStream);
            expResultsIn.WriteData(binWriter);
            binReader.BaseStream.Position = 0;
            TLExperimentResults expResultsOut = (TLExperimentResults)Activator.CreateInstance(typeof(TLExperimentResults), true);
            expResultsOut.ReadData(binReader);

            Assert.AreEqual(expResultsIn.TechniqueName, expResultsOut.TechniqueName);
            Assert.AreEqual(expResultsIn.DatasetsResults.Count(), expResultsOut.DatasetsResults.Count());

            foreach (DatasetResults result1 in expResultsIn.DatasetsResults)
            {
                bool sameDatasetResultExists = false;
                DatasetResults result2 = null;
                foreach (DatasetResults res in expResultsOut.DatasetsResults)
                {
                    if (res.DatasetName == result1.DatasetName)
                    {
                        sameDatasetResultExists = true;
                        result2 = res;
                        break;
                    }
                }
                Assert.IsTrue(sameDatasetResultExists);

                Assert.AreEqual(result1.DatasetName, result2.DatasetName);
                Assert.AreEqual(result1.Metrics.Count(), result2.Metrics.Count());

                foreach (Metric m1 in result1.Metrics)
                {
                    bool sameMetricExists = false;
                    Metric m2 = null;
                    foreach (Metric metric in result2.Metrics)
                    {
                        if (m1.MetricName == metric.MetricName)
                        {
                            sameMetricExists = true;
                            m2 = metric;
                            break;
                        }
                    }

                    Assert.IsTrue(sameMetricExists);
                    Assert.AreEqual(m1.Description, m2.Description);

                    if (m1 is LineSeries)
                    {
                        Assert.IsTrue(m2 is LineSeries);
                        LineSeries l1 = (LineSeries)m1;
                        LineSeries l2 = (LineSeries)m2;

                        Assert.AreEqual(l1.Points.Count(), l2.Points.Count());
                    }
                    else
                    {
                        Assert.IsTrue(m2 is BoxSummaryData);
                        BoxSummaryData b1 = (BoxSummaryData)m1;
                        BoxSummaryData b2 = (BoxSummaryData)m2;

                        Assert.AreEqual(b1.Points.Count(), b2.Points.Count());
                    }
                }
            }
        }