public Dictionary <string, string> CalculateDistance(Session session, Tumourus specificCell)
{
double xDiff = 0, yDiff = 0, zDiff = 0;
Dictionary <string, string> distances = new Dictionary <string, string>();
if (session.RedBloodCells.Any())
{
foreach (Cell item in session.RedBloodCells) // calculates the distance between the tumourus cell and the red blood cell
{
xDiff = Math.Pow(int.Parse(item.Location.XCoordinate) - int.Parse(specificCell.Location.XCoordinate), 2);
yDiff = Math.Pow(int.Parse(item.Location.YCoordinate) - int.Parse(specificCell.Location.YCoordinate), 2);
zDiff = Math.Pow(int.Parse(item.Location.ZCoordinate) - int.Parse(specificCell.Location.ZCoordinate), 2);
distances.Add(item.ID, xDiff.ToString() + " " + yDiff.ToString() + " " + zDiff.ToString());
}
distances = distances.OrderBy(x => x.Value).ToDictionary(x => x.Key, x => x.Value); // sort the dictonary to put the shortest distance first
return(distances);
}
else if (session.WhiteBloodCells.Any())
{
foreach (Cell item in session.WhiteBloodCells)
{
xDiff = Math.Pow(int.Parse(item.Location.XCoordinate) - int.Parse(specificCell.Location.XCoordinate), 2);
yDiff = Math.Pow(int.Parse(item.Location.YCoordinate) - int.Parse(specificCell.Location.YCoordinate), 2);
zDiff = Math.Pow(int.Parse(item.Location.ZCoordinate) - int.Parse(specificCell.Location.ZCoordinate), 2);
distances.Add(item.ID, xDiff.ToString() + " " + yDiff.ToString() + " " + zDiff.ToString());
}
distances = distances.OrderBy(x => x.Value).ToDictionary(x => x.Key, x => x.Value); // sort the dictonary to put the shortest distance first
return(distances);
}
else
{
return(null);
}
}
public Session KillCell(Session session, Tumourus tumourus)
{
Dictionary <string, string> distances = new Dictionary <string, string>();
distances = CalculateDistance(session, tumourus);
try
{
var firstElement = distances.FirstOrDefault();
try
{
if (session.RedBloodCells.Any())
{
foreach (Cell item in session.RedBloodCells)
{
if (firstElement.Key == item.ID)
{
session.RedBloodCells.Remove(item);
session.TumourusCells.Add(new Tumourus(item.ID, "Tumourus", item.Location));
}
}
}
else
{
foreach (Cell item in session.WhiteBloodCells)
{
if (firstElement.Key == item.ID)
{
session.WhiteBloodCells.Remove(item);
session.TumourusCells.Add(new Tumourus(item.ID, "Tumourus", item.Location));
}
}
}
return(session);
}
catch (Exception e)
{
return(session);
}
}
catch (Exception e)
{
return(session);
}
}
public void GenerateCells()
{
bool isValid = false;
int probablity = 0, totalRBC = 0, totalWBC = 0, totalTC = 0, totalNV = 1, lifeCycles = 0;
List <Location> locationsTaken = new List <Location>();
Location location;
string xCoordinate, yCoordinate, zCoordinate;
for (int i = 0; i < 100; i++)
{
probablity = rand.Next(1, 100);
xCoordinate = rand.Next(1, 5000).ToString();
yCoordinate = rand.Next(1, 5000).ToString();
zCoordinate = rand.Next(1, 5000).ToString();
location = new Location(xCoordinate, yCoordinate, zCoordinate);
isValid = CheckValidLocation(location, locationsTaken);
if (isValid)
{
locationsTaken.Add(location);
if (probablity > 0 || probablity <= 5)
{
totalTC++;
Tumourus tumourus = new Tumourus
{
ID = rand.Next(1, 5000).ToString(),
Name = "Tumorous"
};
tumourus.Location.XCoordinate = location.XCoordinate;
tumourus.Location.YCoordinate = location.YCoordinate;
tumourus.Location.ZCoordinate = location.ZCoordinate;
tumourusCells.Add(tumourus);
}
else if (Convert.ToInt32(probablity) > 5 || Convert.ToInt32(probablity) <= 25)
{
totalWBC++;
Cell cell = new Cell
{
ID = rand.Next(1, 5000).ToString(),
Type = "White Blood"
};
cell.Location.XCoordinate = location.XCoordinate;
cell.Location.YCoordinate = location.YCoordinate;
cell.Location.ZCoordinate = location.ZCoordinate;
whiteBloodCells.Add(cell);
}
else
{
totalRBC++;
Cell cell = new Cell
{
ID = rand.Next(1, 5000).ToString(),
Type = "Red Blood"
};
cell.Location.XCoordinate = location.XCoordinate;
cell.Location.YCoordinate = location.YCoordinate;
cell.Location.ZCoordinate = location.ZCoordinate;
redBloodCells.Add(cell);
}
}
}
session = new Session(totalRBC, totalWBC, totalNV, totalTC, lifeCycles, tumourusCells, redBloodCells, whiteBloodCells, nanoVirusCells);
rootNode = new Node(totalRBC, totalWBC, totalNV, totalTC, lifeCycles);
}