/// <summary>
/// Writes results of search to window.
/// </summary>
public void WriteResults()
{
int CompareLimit = Convert.ToInt32(CompareTextBox.Text);
int CorrectNum = 0;
int TotalCorrect = 0;
int num = MainData.NumTests();
for (int i = 0; i < num; i++)
{
MainDataStructure.TestPoint tp = MainData.GetTestPoint(i);
int expectedPoint = tp.ExpectedPoint;
double minimum = tp.CalculatedMin;
int calculatedPoint = tp.CalculatedPoint;
int calculatedDirection = tp.CalculatedDirection;
int expectedDirection = (testInd == -1) ? tp.ExpectedDirection : testInd;
string ptcorrect = (Math.Abs(calculatedPoint - expectedPoint) < CompareLimit) ? "TRUE" : "False";
string dircorrect = (calculatedDirection == expectedDirection) ? "TRUE" : "False";
string bothcorrect = (ptcorrect.Contains("TRUE") && dircorrect.Contains("TRUE")) ? "TRUE" : "False";
rtb.AppendText("Test " + i + ": Expected: " + expectedPoint + " Got: " + calculatedPoint + " with " + minimum + " Expected Dir: " + expectedDirection + " Got: " + calculatedDirection + " Pt? " + ptcorrect + " Dir? " + dircorrect + " Both? " + bothcorrect + Environment.NewLine);
if (ptcorrect.Contains("TRUE"))
{
CorrectNum++;
}
if (bothcorrect.Contains("TRUE"))
{
TotalCorrect++;
}
}
double ptpercent = (double)CorrectNum * 100.0 / (double)num;
double bothpercent = (double)TotalCorrect * 100.0 / (double)num;
rtb.AppendText(Environment.NewLine + "Score: " + CorrectNum + "\\" + num + " " + ptpercent + '%');
rtb.AppendText(Environment.NewLine + "Score: " + TotalCorrect + "\\" + num + " " + bothpercent + '%');
}
/// <summary>
/// Performs a sort of K Nearest Neighbour.
/// </summary>
public void KNNSearch()
{
CurrentLocation = -1;
limit = Convert.ToInt32(UpperTextBox.Text);
lowerlimit = Convert.ToInt32(LowerTextBox.Text);
testInd = Convert.ToInt32(TestOrientBox.Text);
int simNum = Convert.ToInt32(SimulateBox.Text);
List <List <double> > Tests = MainData.GetFlattenedTests(testInd, simNum);
List <List <double> > map = MainData.GetFlattenedMap(simNum, -1);
List <List <List <double> > > Distances = new List <List <List <double> > >();
// Get distance metrics
for (int i = 0; i < Tests.Count; i++)
{
Distances.Add(GetDistWithDirec(map, Tests[i]));
}
// Perform search
int currentTest = 0;
foreach (List <List <double> > test in Distances)
{
// Get minimums
List <int> MinInds = new List <int>();
List <double> Mins = new List <double>();
foreach (List <double> orientation in test)
{
List <object> details = GetMin(limit, orientation.Count, orientation);
Mins.Add((double)details[0]);
MinInds.Add((int)details[1]);
}
// Find min orientation
double TotalMin = Mins.Min();
int OrientationInd = Mins.IndexOf(TotalMin);
int PointInd = MinInds[OrientationInd];
// First test must be 0 (?)
if (currentTest == 0)
{
PointInd = 0;
}
MainDataStructure.TestPoint point = MainData.GetTestPoint(currentTest);
point.CalculatedPoint = PointInd;
point.CalculatedDirection = OrientationInd;
point.CalculatedMin = TotalMin;
MainData.SetTest(currentTest, point);
CurrentLocation = PointInd;
Console.WriteLine("Test " + currentTest + ": Expected: " + point.ExpectedPoint + " Got: " + PointInd + " with " + TotalMin);
Console.WriteLine(" Direction -> Expected: " + point.ExpectedDirection + " Got: " + OrientationInd);
Console.WriteLine("All mins");
for (int j = 0; j < Mins.Count; j++)
{
Console.WriteLine("Min:" + Mins[j] + " at: " + MinInds[j]);
}
Console.WriteLine("---------------------------" + Environment.NewLine);
currentTest++;
}
}
