private Tuple<int, PopulationCell>[] PopulateDepartment(DepartmentInfo depInfo, out Human[] humanArray)
{
List<Human> humanList = new List<Human>(depInfo.GetTotal());
int areaSize = depInfo.Coordinates.Length; // number of points to be populated.
Tuple<int, PopulationCell>[] resultArray = // the array which will be returned.
new Tuple<int,PopulationCell>[areaSize];
int resultArrayIndex = 0; // running index for the array.
Point origin = CalculateInitialPoint(depInfo.Coordinates); // the origin as an fixpoint for every point.
int maximumDistance = depInfo.Coordinates.Max( // the maximum distance possible.
point => point.Distance(origin)) + 1;
int[] factors = new int[maximumDistance]; // array of factor for each distance.
factors[0] = 225; // start factor.
for (int i = 1; i < maximumDistance; i++) // creating every factor for each distance.
{
int previousFactor = factors[i - 1];
int minus = (int)(previousFactor / 3f / 6);
int random = RANDOM.Next(previousFactor / 3) - minus;
random = (int)(random * (1 - i / (float)maximumDistance));
if (previousFactor - random <= 0) random = 5;
factors[i] = previousFactor - random;
}
foreach (Point currentPoint in depInfo.Coordinates)
{
int currentDistance = currentPoint.Distance(origin); // distance of this point to the origin.
PopulationCell currentCell = new PopulationCell();
for (int i = 0; i < 8; i++) // for each age-group.
{
int additionalRand = RANDOM.Next(10) - 5;
int numberForEvenSpread = // number of humans if everything would be even/the same.
(int)(depInfo.Population[i] / (float)areaSize);
int numberOfPeopleToSet = // number of humans to be set for this age-group.
(int)(numberForEvenSpread *
(factors[currentDistance] + additionalRand) / 100f);
EGender gender = (i < 4) ? // the first four are male, the last female.
EGender.Male : EGender.Female;
var bounds = GetAgeBounds(i); // the age-boundaries for the corresponding age-group.
int lowerAgeBound = bounds.Item1;
int upperAgeBound = bounds.Item2;
for (int setCount = 0; setCount < numberOfPeopleToSet; setCount++)
{
int thisAge = RANDOM.Next(lowerAgeBound, upperAgeBound + 1);
Human thisHuman = Human.Create(gender, thisAge, currentPoint.Flatten(WIDTH));
humanList.Add(thisHuman);
currentCell.Data[i]++; // 'adds' the human to its cell.
depInfo.Population[i]--; // 'removes' the human out of the population.
}
}
areaSize--; // 'removes' point from rest-area.
resultArray[resultArrayIndex++] = new Tuple<int, PopulationCell>(
currentPoint.Flatten(WIDTH), currentCell);
}
humanArray = humanList.ToArray();
humanList = null;
return resultArray;
}
/// <summary>
/// The Dummy-implementation.
/// </summary>
private Tuple<int, PopulationCell>[] DummyPopulate(DepartmentInfo depInfo, out Human[] humanArray)
{
int areaSize = depInfo.Coordinates.Length;
Tuple<int, PopulationCell>[] tmpArray = new Tuple<int, PopulationCell>[areaSize];
int tmpCounter = 0;
humanArray = new Human[depInfo.GetTotal()];
int humanCounter = 0;
int[] popsPerPoint = depInfo.Population.Select(x => x / areaSize).ToArray();
foreach (Point point in depInfo.Coordinates)
{
PopulationCell cell = new PopulationCell();
for (int i = 0; i < 8; i++)
{
EGender gender = (i < 4) ? EGender.Male : EGender.Female;
var bounds = GetAgeBounds(i);
int lowerAgeBound = bounds.Item1;
int upperAgeBound = bounds.Item2;
for (int n = 0; n < popsPerPoint[i]; n++)
{
int thisAge = RANDOM.Next(lowerAgeBound, upperAgeBound + 1);
humanArray[humanCounter++] = Human.Create(gender, thisAge, point.Flatten(WIDTH));
cell.Data[i]++;
}
}
tmpArray[tmpCounter++] = new Tuple<int, PopulationCell>(point.Flatten(WIDTH), cell);
}
return tmpArray;
}