public static void PrintBenchmarksResultInMatlab(IAlgorithm algorithm, int beginValues = 1, int endValues = 10,
int step = 1, int repetitionsCount = 5, IАveragerResults averageResult = null, string title = "",
string xLabel = "", string y1Label = "", string y2Label = "")
{
if (averageResult == null)
{
averageResult = new Average(0.8M);
}
var results = СomplicationEstimator.Estimate(algorithm, beginValues, endValues,
step, repetitionsCount, averageResult);
var x = new int[results.Count];
var y = new long[results.Count];
var m = new double[results.Count];
for (var i = 0; i < results.Count; i++)
{
x[i] = results[i].Size;
y[i] = results[i].Time;
m[i] = results[i].Memory;
}
MatlabOperations.Figure();
MatlabOperations.PlotBenchmarksResult(x, y, m, title, xLabel, y1Label, y2Label);
MatlabOperations.Pause();
}
private static void Main(string[] args)
{
FileOperations.SetMatlabConfigFromJson("data/config.json");
var graph1 = FileOperations.GetDirectedGraphFromJson("data/graph.json");
var state = graph1.GetMoralGraph();
var tmp = state.Item1;
var final = state.Item2;
MatlabOperations.Figure();
var figure0 = MatlabOperations.PlotGraph(graph1, "Исходный граф");
MatlabOperations.Pause(5);
MatlabOperations.Figure();
var figure1 = MatlabOperations.PlotGraph(tmp, "Исходный неориентированный граф");
MatlabOperations.Pause(5);
MatlabOperations.Figure();
var figure2 = MatlabOperations.PlotGraphAndHistory(tmp, final.GetEdgesHistory(), "Морализованный граф");
MatlabOperations.Pause(5);
var secondStage = graph1.TriangulateGraph(final);
MatlabOperations.Figure();
var figure3 = MatlabOperations.PlotGraph(secondStage, "Триангулированный граф");
MatlabOperations.Pause();
//BenchmarksHelper.PrintBenchmarksResultInMatlab(new MoralizationAlgorithm(), 0, 100, 5,
// title: "Бенчмарк для морализации", xLabel: "Число вершин", y1Label: "Время, мс.", y2Label: "Память, МБ");
}