private void BAModelTest(BAContainer container)
{
AbstarctGraphAnalyzer analyzer = new BAAnalyzer(container);
//test tDegreeDistribution
testDegreeDistribution(0, analyzer);
//test AveragePath
testAveragePath(1, analyzer);
//test ClusteringCoefficient
testClusteringCoefficient(2, analyzer);
//test EigenValue
testEigenValue(3, analyzer);
//test Cycles of order 3
testCycles3(4, analyzer);
// test diameter
testDiameter(5, analyzer);
// test cycle of order 4
testCycles4(6, analyzer);
// test distance between vertexes
testDistanceBetweenVertices(7, analyzer);
// test distance between eigen values
testDistancesBetweenEigenValues(8, analyzer);
// test order of max full subgraph
testFullSubgraphs(9, analyzer);
}
public CyclesCounterSingleThreaded(BAContainer container)
{
_container = container;
_verticesCount = _container.Size;
_marked = new bool[_verticesCount];
for (int i = 0; i < _verticesCount; ++i)
{
unmark(i);
}
_stack = new Stack<int>();
_path = new Stack<int>();
}
public void BACycles3Test()
{
XMLResultStorage resultStorage = new XMLResultStorage("");
ResultAssembly goldResult = resultStorage.LoadXML("BAOutput.xml");
BAContainer container = new BAContainer();
container.SetMatrix("BAInput.txt");
AbstarctGraphAnalyzer analyzer = new BAAnalyzer(container);
long actualValue = analyzer.GetCycles3();
double expectedValue = goldResult.Results[0].Result[AnalyseOptions.Cycles3];
Assert.AreEqual(actualValue, expectedValue);
}
public void BAClusteringCoefficientTest()
{
XMLResultStorage resultStorage = new XMLResultStorage("");
ResultAssembly goldResult = resultStorage.LoadXML("BAOutput.xml");
BAContainer container = new BAContainer();
container.SetMatrix("BAInput.txt");
AbstarctGraphAnalyzer analyzer = new BAAnalyzer(container);
SortedDictionary<double, int> actualValue = analyzer.GetClusteringCoefficient();
SortedDictionary<double, int> expectedValue = goldResult.Results[0].Coefficient;
Assert.IsTrue(compare(actualValue, expectedValue));
}
public CyclesCounter(BAContainer container)
{
_container = container;
_verticesCount = _container.Size;
_counter = new CyclesParallelCounter(container);
}
/// <summary>
/// create and returns graph in data from given BAContainer type graph
/// </summary>
/// <param name="graph"></param>
/// <returns></returns>
public static Graph reformatToOurGraghFromBAContainer(BAContainer graph)
{
Graph newGraph = new Graph();
bool[,] matrix = new bool[graph.Neighbourship.Count, graph.Neighbourship.Count];
List<int> list = new List<int>();
SortedDictionary<int, List<int>> neighbourship = graph.Neighbourship;
for (int i = 0; i < neighbourship.Count; i++)
{
list = neighbourship[i];
newGraph.Vertices.Add(new Vertice(i));
for (int j = 0; j < list.Count; j++)
newGraph.Edges.Add(new Edge(i, list[j]));
}
return newGraph;
}
// Конструктор, получающий контейнер графа.
public BAAnalyzer(BAContainer c)
{
log.Info("Creating BAAnalizer object.");
container = c;
Initialization();
}
public void BACyclesTest()
{
XMLResultStorage resultStorage = new XMLResultStorage("");
ResultAssembly goldResult = resultStorage.LoadXML("BAOutput.xml");
BAContainer container = new BAContainer();
container.SetMatrix("BAInput.txt");
AbstarctGraphAnalyzer analyzer = new BAAnalyzer(container);
SortedDictionary<int, long> actualValue = analyzer.GetCycles(4, 6);
SortedDictionary<int, long> expectedValue = goldResult.Results[0].Cycles;
Assert.IsTrue(compare(actualValue, expectedValue));
}
public void BAMinPathDistTest()
{
XMLResultStorage resultStorage = new XMLResultStorage("");
ResultAssembly goldResult = resultStorage.LoadXML("BAOutput.xml");
BAContainer container = new BAContainer();
container.SetMatrix("BAInput.txt");
AbstarctGraphAnalyzer analyzer = new BAAnalyzer(container);
SortedDictionary<int, int> actualValue = analyzer.GetMinPathDist();
SortedDictionary<int, int> expectedValue = goldResult.Results[0].DistanceBetweenVertices;
Assert.IsTrue(compare(actualValue, expectedValue));
}
public void BAEigenValueTest()
{
XMLResultStorage resultStorage = new XMLResultStorage("");
ResultAssembly goldResult = resultStorage.LoadXML("BAOutput.xml");
BAContainer container = new BAContainer();
container.SetMatrix("BAInput.txt");
AbstarctGraphAnalyzer analyzer = new BAAnalyzer(container);
ArrayList actualValue = analyzer.GetEigenValues();
ArrayList expectedValue = goldResult.Results[0].EigenVector;
Assert.IsTrue(compare(actualValue, expectedValue));
}
public CyclesParallelCounter(BAContainer container)
{
_container = container;
_verticesCount = _container.Size;
_counters = new PivotsCyclesCounter[_verticesCount];
}
public PivotsCyclesCounter(IThreadEventHandler handler, BAContainer container,
int pivot, int cycleLength)
{
_handler = handler;
_container = container;
_pivot = pivot;
_cycleLength = cycleLength;
}
private void Generate(long stepCount,double probability)
{
if (initialGeneration)
{
GenereateInitialGraph(probability);
if (initialGragh.Equals("Permanent"))
initialGeneration = false;
container = initialcontainer;
}
while (stepCount > 0)
{
double[] probabilyArray = container.CountProbabilities();
container.AddVertex();
container.RefreshNeighbourships(MakeGenerationStep(probabilyArray));
--stepCount;
}
}
// Конструктор по умолчанию, в котором создается пустой контейнер графа.
public BAGenerator()
{
container = new BAContainer();
initialcontainer = new BAContainer();
}
private void constructGraph(string modelName)
{
try
{
XMLResultStorage resultStorage = new XMLResultStorage("");
goldResult = resultStorage.LoadXML(goldenOutPath.Text);
}
catch (Exception e)
{
MessageBox.Show(this, "Unable load XML file", e.Message);
}
switch (modelName)
{
case "Barabasi-Albert":
BAContainer baContainer = new BAContainer();
baContainer.SetMatrix(inputMatrixPath.Text);
BAModelTest(baContainer);
break;
case "ERModel":
ERContainer erContainer = new ERContainer();
erContainer.SetMatrix(inputMatrixPath.Text);
ERModelTest(erContainer);
break;
case "Watts-Strogatz":
WSContainer wsContainer = new WSContainer();
wsContainer.SetMatrix(inputMatrixPath.Text);
WSModelTest(wsContainer);
break;
default:
Console.WriteLine("Default case");
break;
}
}