public void ExportXYZ(float scale, int startYear, int endYear, int gender)
{
var frame = Frame.CreateEmpty <int, int>();
var length = AgeProbability.Source[gender, 0].Count;
frame.AddColumn(-1, AgeProbability.Source[gender, 0]);
for (int y = startYear; y <= endYear; y++)
{
var index = AgeProbability.YearIndex(y);
frame.AddColumn(index, AgeProbability.Weights[gender, index]);
}
frame.SaveCsv($"./AgeTests/3d-{Constants.DisplayNames[gender]}.csv");
}
/// <summary>
/// Warms up a society by scale. i.e. 0.1 will start a population on a 10% scale.
/// </summary>
/// <param name="scale"></param>
public void Warmup(float scale)
{
// Recreate Total population by year counting number of people per age group.
var index = AgeProbability.YearIndex(Environment.StartDate.Year);
// Traverse all age categories for males and females.
for (int age = 0; age < AgeProbability.Source[0, 0].Count; age++)
{
var people = (int)(AgeProbability.Weights[Constants.idx_gender_male, index][age] * scale);
for (int j = 0; j < people; j++)
{
new Person(Environment, age);
}
}
}
public void AgeDistribution(float scale, int startYear, int endYear, int gender)
{
// Arrange
var env = new SimSharp.ThreadSafeSimulation(42);
for (int y = startYear; y <= endYear; y++)
{
var index = AgeProbability.YearIndex(y);
Helpers.Sample(this, scale, y.ToString(), gender,
AgeProbability.Source[gender, index],
AgeProbability.Weights[gender, index],
"Age distribution"
);
}
}