public void PrimsMSTTest(string filename)
{
var g = new EdgeWeightedGraph(filename);
// var mst = new PrimMST(g);
// foreach (var edge in mst.Edges())
// {
// Console.WriteLine(edge.ToString());
// }
Console.WriteLine();
var mst1 = new LazyPrimeMST(g);
foreach (Edge edge in mst1.Edges())
{
Console.WriteLine(edge.ToString());
}
}
static void Main(string[] args)
{
// 使用两种图的储存方式来读取文件
string fileName = "TextG1.txt";
SparseGraph graph = new SparseGraph(13, false);
ReadGraph readGraph = new ReadGraph(graph, fileName);
Console.WriteLine("test g1 in sparse graph ");
graph.Show();
Console.WriteLine();
DenseGraph graph1 = new DenseGraph(13, false);
ReadGraph readGraph1 = new ReadGraph(graph1, fileName);
Console.WriteLine("test g1 in dense graph ");
graph1.Show();
Console.WriteLine("===========================================");
DenseGraph graph2 = new DenseGraph(13, false);
ReadGraph readGraph2 = new ReadGraph(graph2, fileName);
Path path = new Path(graph2, 0);
Console.WriteLine("test path g1 in dense graph ");
path.ShowPath(4);
Console.WriteLine("===========================================");
WeightedDenseGraph <double> wgraph3 = new WeightedDenseGraph <double>(8, false);
ReadWeightedGraph readGraph3 = new ReadWeightedGraph(wgraph3, "testG1.txt");
Console.WriteLine("test in weighted dense graph ");
wgraph3.Show();
Console.WriteLine("===========================================");
SparseWeightedGraph <double> wgraph4 = new SparseWeightedGraph <double>(8, false);
ReadWeightedGraph readGraph4 = new ReadWeightedGraph(wgraph4, "testG1.txt");
Console.WriteLine("test in weighted sparse graph ");
wgraph4.Show();
Console.WriteLine("Test MinHeap");
int n = 100000;
MinHeap <int> heap = new MinHeap <int>(n);
Random rand = new Random();
for (int i = 0; i < n; i++)
{
heap.Add(rand.Next(n));
}
List <int> list = new List <int>();
for (int i = 0; i < n; i++)
{
list.Add(heap.ExtractMin());
}
for (int i = 0; i < n - 1; i++)
{
if (list[i] > list[i + 1])
{
throw new Exception("MinHeap error");
}
}
Console.WriteLine("===========================================");
Console.WriteLine("Test MST");
SparseWeightedGraph <double> wgraph5 = new SparseWeightedGraph <double>(8, false);
ReadWeightedGraph readGraph5 = new ReadWeightedGraph(wgraph5, "testG1.txt");
LazyPrimeMST <double> mst = new LazyPrimeMST <double>(wgraph5);
List <Edge <double> > mstPath = mst.MstEdges();
for (int i = 0; i < mstPath.Count; i++)
{
Console.WriteLine(mstPath[i]);
}
Console.WriteLine("Test Index MinHeap");
IndexMinHeap <int> heap1 = new IndexMinHeap <int>(n);
for (int i = 0; i < n; i++)
{
heap1.Add(i, rand.Next(n));
}
for (int i = 0; i < n / 2; i++)
{
heap1.Update(i, rand.Next(n));
}
List <int> list1 = new List <int>();
for (int i = 0; i < n; i++)
{
list1.Add(heap1.ExtractMin());
}
for (int i = 0; i < n - 1; i++)
{
if (list1[i] > list1[i + 1])
{
throw new Exception("IndexMinHeap error");
}
}
Console.WriteLine("===========================================");
Console.WriteLine("Test MST Optimization");
SparseWeightedGraph <double> wgraph6 = new SparseWeightedGraph <double>(8, false);
ReadWeightedGraph readGraph6 = new ReadWeightedGraph(wgraph6, "testG1.txt");
PrimMST <double> mst1 = new PrimMST <double>(wgraph6);
List <Edge <double> > mstPath1 = mst1.MstEdges();
for (int i = 0; i < mstPath1.Count; i++)
{
Console.WriteLine(mstPath1[i]);
}
}
