public void AscBeautySorting()
{
Report report = new Report("test", Badger.Data.ReportType.EvaluationAverages, "None");
Series aSeries = new Series();
Series bSeries = new Series();
Series cSeries = new Series();
aSeries.AddValue(0.0, 0.0);
aSeries.AddValue(1.0, 3.0);
aSeries.AddValue(2.0, 4.0);
aSeries.AddValue(3.0, 3.0);
aSeries.AddValue(4.0, 4.0);
aSeries.AddValue(5.0, 5.0);
aSeries.AddValue(6.0, 5.0);
aSeries.CalculateStats(report);
bSeries.AddValue(0.0, 0.0);
bSeries.AddValue(1.0, 3.0);
bSeries.AddValue(2.0, 4.0);
bSeries.AddValue(3.0, 1.0);
bSeries.AddValue(4.0, 4.0);
bSeries.AddValue(5.0, 6.0);
bSeries.AddValue(6.0, 5.0);
bSeries.CalculateStats(report);
cSeries.AddValue(0.0, 0.0);
cSeries.AddValue(1.0, 13.0);
cSeries.AddValue(2.0, 14.0);
cSeries.AddValue(3.0, 1.0);
cSeries.AddValue(4.0, 24.0);
cSeries.AddValue(5.0, 6.0);
cSeries.AddValue(6.0, 35.0);
cSeries.CalculateStats(report);
List <Series> tracks = new List <Series>();
tracks.Add(aSeries);
tracks.Add(bSeries);
tracks.Add(cSeries);
tracks.Sort(new SeriesComparer(true, true));
Assert.IsTrue(tracks[0].Stats.ascBeauty < tracks[1].Stats.ascBeauty &&
tracks[1].Stats.ascBeauty < tracks[2].Stats.ascBeauty);
}
public void AscBeauty2()
{
Report report = new Report("test", Badger.Data.ReportType.EvaluationAverages, "None");
Series aSeries = new Series();
Series bSeries = new Series();
Series cSeries = new Series();
aSeries.AddValue(0.0, 0.0);
aSeries.AddValue(1.0, 1.0);
aSeries.AddValue(2.0, 2.0);
aSeries.AddValue(3.0, 3.0);
aSeries.AddValue(4.0, 4.0);
aSeries.AddValue(5.0, 5.0);
aSeries.AddValue(6.0, 6.0);
aSeries.CalculateStats(report);
bSeries.AddValue(0.0, 0.0);
bSeries.AddValue(1.0, 2.0);
bSeries.AddValue(2.0, 3.0);
bSeries.AddValue(3.0, 0.0);
bSeries.AddValue(4.0, 5.0);
bSeries.AddValue(5.0, 4.0);
bSeries.AddValue(6.0, 6.0);
bSeries.CalculateStats(report);
cSeries.AddValue(0.0, 0.0);
cSeries.AddValue(1.0, 1.0);
cSeries.AddValue(2.0, 2.0);
cSeries.AddValue(3.0, 1.0);
cSeries.AddValue(4.0, 4.0);
cSeries.AddValue(5.0, 4.0);
cSeries.AddValue(6.0, 5.0);
cSeries.CalculateStats(report);
Assert.IsTrue(aSeries.Stats.ascBeauty > bSeries.Stats.ascBeauty);
Assert.IsTrue(aSeries.Stats.ascBeauty > cSeries.Stats.ascBeauty);
}
public void DscBeauty()
{
Report report = new Report("test", Badger.Data.ReportType.EvaluationAverages, "None");
Series aSeries = new Series();
Series bSeries = new Series();
Series cSeries = new Series();
aSeries.AddValue(0.0, 0.0);
aSeries.AddValue(1.0, -3.0);
aSeries.AddValue(2.0, -4.0);
aSeries.AddValue(3.0, -3.0);
aSeries.AddValue(4.0, -4.0);
aSeries.AddValue(5.0, -5.0);
aSeries.AddValue(6.0, -5.0);
aSeries.CalculateStats(report);
bSeries.AddValue(0.0, 0.0);
bSeries.AddValue(1.0, -3.0);
bSeries.AddValue(2.0, -4.0);
bSeries.AddValue(3.0, -1.0);
bSeries.AddValue(4.0, -4.0);
bSeries.AddValue(5.0, -6.0);
bSeries.AddValue(6.0, -5.0);
bSeries.CalculateStats(report);
cSeries.AddValue(0.0, 0.0);
cSeries.AddValue(1.0, -13.0);
cSeries.AddValue(2.0, -14.0);
cSeries.AddValue(3.0, -1.0);
cSeries.AddValue(4.0, -24.0);
cSeries.AddValue(5.0, -6.0);
cSeries.AddValue(6.0, -35.0);
cSeries.CalculateStats(report);
Assert.IsTrue(aSeries.Stats.dscBeauty > bSeries.Stats.dscBeauty);
Assert.IsTrue(bSeries.Stats.dscBeauty > cSeries.Stats.dscBeauty);
}