public OctreeLookup(IEnumerable<float[]> points)
{
tree = new Octree(
points.Max(p => p[0]),
points.Min(p => p[0]),
points.Max(p => p[1]),
points.Min(p => p[1]),
points.Max(p => p[2]),
points.Min(p => p[2]),
points.Count());
foreach (var p in points)
tree.AddNode(p[0], p[1], p[2], p);
}
public void Dispose()
{
tree.Clear();
tree = null;
}
private void BuildDemoDatabase()
{
int total = 1000;
double[][] wtest = new double[total][];
double[] xyzMax = new double[3];
double[] xyzMin = new double[3];
Random rnd = new Random();
/*
* Builds a data set of random number. It also evaluates the maximum and
* minimum of the data points is not required but will speed up the search process.
* */
using (StreamWriter sw = new StreamWriter("demo.txt", false))
{
for (int j = 0; j < 3; j++)
{
xyzMax[j] = -1e32;
xyzMin[j] = 1e32;
}
for (int i = 0; i < total; i++)
{
wtest[i] = new double[3];
for (int j = 0; j < 3; j++)
{
wtest[i][j] = rnd.NextDouble(); //*rnd.Next();
sw.Write(wtest[i][j] + " ");
xyzMax[j] = Math.Max(xyzMax[j], wtest[i][j]);
xyzMin[j] = Math.Min(xyzMin[j], wtest[i][j]);
}
sw.WriteLine();
}
}
/*
* build a new search data base to load data from demo.txt
*/
octreeDataset = new Octree(
(float)xyzMax[0],
(float)xyzMin[0],
(float)xyzMin[1],
(float)xyzMax[1],
(float)xyzMax[2],
(float)xyzMin[2],
total);
using (StreamReader sr = new StreamReader("demo.txt"))
{
int i = 1;
while (!sr.EndOfStream)
{
string[] s = sr.ReadLine().Split(' ');
float x = float.Parse(s[0]);
float y = float.Parse(s[1]);
float z = float.Parse(s[2]);
octreeDataset.AddNode(x, y, z, i);
i++;
}
}
/*
* use this to test if the search finds all the elements loaded into octreeDataset
* */
/*
ArrayList ar = new ArrayList();
using (StreamReader sr = new StreamReader("demo.txt"))
{
int i = 1;
while (!sr.EndOfStream)
{
string[] s = sr.ReadLine().Split(' ');
float x = float.Parse(s[0]);
float y = float.Parse(s[1]);
float z = float.Parse(s[2]);
ar.Add((int)octreeDataset.GetNode(x, y, z));
i++;
}
}
* */
}