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KdTree_Tests.cs
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using System;
using System.Collections.Generic;
using System.Linq;
using Advanced.Algorithms.DataStructures;
using Microsoft.VisualStudio.TestTools.UnitTesting;
namespace Advanced.Algorithms.Tests.DataStructures
{
[TestClass]
public class KdTreeTests
{
/// <summary>
/// A tree test
/// </summary>
[TestMethod]
public void KdTree2D_NearestNeighbour_Smoke_Test()
{
var distanceCalculator = new DistanceCalculator2D();
var testPts = new List<int[]>
{
new int[2] { 3, 6 }, new int[2] { 17, 15 },
new int[2] { 13, 15 }, new int[2] { 6, 12 }, new int[2] { 9, 1 },
new int[2] { 2, 7 }, new int[2] { 10, 19 }
};
var tree = new KdTree<int>(2);
foreach (var pt in testPts) tree.Insert(pt);
//IEnumerable tests using linq.
Assert.AreEqual(tree.Count, tree.Count());
var j = testPts.Count - 1;
while (testPts.Count > 0)
{
var testPoint = new[] { 10, 20 };
var nearestNeigbour = tree.NearestNeighbour(new DistanceCalculator2D(), testPoint);
var actualNeigbour = GetActualNearestNeighbour(testPts, testPoint);
Assert.IsTrue(distanceCalculator.Compare(actualNeigbour, nearestNeigbour, testPoint) == 0);
tree.Delete(testPts[j]);
testPts.RemoveAt(j);
j--;
}
//IEnumerable tests using linq.
Assert.AreEqual(tree.Count, tree.Count());
}
/// <summary>
/// A tree test
/// </summary>
[TestMethod]
public void KdTree2D_NearestNeighbour_Accuracy_Test()
{
var distanceCalculator = new DistanceCalculator2D();
var nodeCount = 1000;
var rnd = new Random();
var testPts = new List<int[]>();
for (var i = 0; i < nodeCount; i++)
{
var start = i + rnd.Next(0, int.MaxValue - 100);
var end = start + rnd.Next(1, 10);
testPts.Add(new[] { start, end });
}
var tree = new KdTree<int>(2);
foreach (var pt in testPts) tree.Insert(pt);
//IEnumerable tests using linq.
Assert.AreEqual(tree.Count, tree.Count());
var j = testPts.Count - 1;
while (testPts.Count > 0)
{
var testPoint = new[] { rnd.Next(), rnd.Next() };
var nearestNeigbour = tree.NearestNeighbour(distanceCalculator, testPoint);
var actualNeigbour = GetActualNearestNeighbour(testPts, testPoint);
Assert.IsTrue(distanceCalculator.Compare(actualNeigbour, nearestNeigbour, testPoint) == 0);
tree.Delete(testPts[j]);
testPts.RemoveAt(j);
j--;
}
//IEnumerable tests using linq.
Assert.AreEqual(tree.Count, tree.Count());
}
/// <summary>
/// A tree test
/// </summary>
[TestMethod]
public void KdTree2D_Range_Smoke_Test()
{
var testPts = new List<int[]>
{
new int[2] { 1, 1 }, new int[2] { 10, 10 },
new int[2] { 1, 6 }, new int[2] { 6, 7 }, new int[2] { 9, 1 },
new int[2] { 2, 7 }, new int[2] { 20, 19 }
};
var tree = new KdTree<int>(2);
foreach (var pt in testPts) tree.Insert(pt);
//IEnumerable tests using linq.
Assert.AreEqual(tree.Count, tree.Count());
var rangePoints = tree.RangeSearch(new int[2] { 1, 1 }, new int[2] { 9, 9 });
}
/// <summary>
/// A tree test
/// </summary>
[TestMethod]
public void KdTree2D_Range_Accuracy_Test()
{
var distanceCalculator = new DistanceCalculator2D();
var nodeCount = 1000;
var rnd = new Random();
var testPts = new List<int[]>();
for (var i = 0; i < nodeCount; i++)
{
var start = i + rnd.Next(0, int.MaxValue - 100);
var end = start + rnd.Next(1, 10);
testPts.Add(new[] { start, end });
}
var tree = new KdTree<int>(2);
foreach (var pt in testPts) tree.Insert(pt);
//IEnumerable tests using linq.
Assert.AreEqual(tree.Count, tree.Count());
var j = testPts.Count - 1;
while (testPts.Count > 0)
{
var testStartRange = new[] { rnd.Next(), rnd.Next() };
var testEndRange = new[] { rnd.Next() + 100, rnd.Next() + 200 };
var correctResult = new List<int[]>();
for (var i = 0; i < testPts.Count; i++)
if (InRange(testPts[i], testStartRange, testEndRange))
correctResult.Add(testPts[i]);
var actualResult = tree.RangeSearch(testStartRange, testEndRange);
Assert.IsTrue(correctResult.Count == actualResult.Count);
tree.Delete(testPts[j]);
testPts.RemoveAt(j);
j--;
}
}
/// <summary>
/// gets the actual nearest neighbour by brute force search
/// </summary>
private int[] GetActualNearestNeighbour(List<int[]> points, int[] testPoint)
{
int[] currentMinNode = null;
var currentMin = double.MaxValue;
var distanceCalculator = new DistanceCalculator2D();
for (var i = 0; i < points.Count; i++)
{
var currentDistance = distanceCalculator.GetEucledianDistance(points[i], testPoint);
if (currentMin > currentDistance)
{
currentMin = currentDistance;
currentMinNode = points[i];
}
}
return currentMinNode;
}
/// <summary>
/// point is within start & end points?
/// </summary>
private bool InRange(int[] point, int[] start, int[] end)
{
for (var i = 0; i < point.Length; i++)
//if not (start is less than node && end is greater than node)
if (!(start[i].CompareTo(point[i]) <= 0
&& end[i].CompareTo(point[i]) >= 0))
return false;
return true;
}
/// <summary>
/// Distance Calculator for 2 dimensional points
/// </summary>
public class DistanceCalculator2D : IDistanceCalculator<int>
{
/// <summary>
/// compares distance between a to point and b to point
/// returns IComparer result
/// </summary>
public int Compare(int[] a, int[] b, int[] point)
{
var distance1 = GetEucledianDistance(a, point);
var distance2 = GetEucledianDistance(b, point);
return distance1 == distance2 ? 0 : distance1 < distance2 ? -1 : 1;
}
/// <summary>
/// compares distance between a to b and start to end
/// returns IComparer result
/// </summary>
public int Compare(int a, int b, int[] start, int[] end)
{
var distance1 = GetDistance(a, b);
var distance2 = GetEucledianDistance(start, end);
return distance1 == distance2 ? 0 : distance1 < distance2 ? -1 : 1;
}
/// <summary>
/// returns the eucledian distance between given points
/// </summary>
public double GetEucledianDistance(int[] a, int[] b)
{
return Math.Sqrt(Math.Pow(Math.Abs(a[0] - b[0]), 2)
+ Math.Pow(Math.Abs(a[1] - b[1]), 2));
}
/// <summary>
/// returns the absolute distance between given points
/// </summary>
public int GetDistance(int a, int b)
{
return Math.Abs(a - b);
}
}
}
}