private static string BufferToLine(Buffer buffer)
{
int[] firstEntries =
{
buffer.NumMachinesSurrounding,
buffer.UpMachine,
buffer.Up2Machine,
buffer.DownMachine,
buffer.Size
};
var lastEntry = buffer.SelectionProbability;
var values = Array.ConvertAll(firstEntries, v => v.ToString()).ToList();
values.Add(lastEntry.ToString(CultureInfo.InvariantCulture));
return(string.Join(" ", values));
}
public static FlowlineConfiguration Generate(int seed)
{
var rand = new Random(seed);
var flc = new FlowlineConfiguration {
RequiredRelativeMarginOfError = 0.005f,
NumMachines = 4,
NumBuffers = 3,
// add 1 since Random.Next the ub is non inclusive!
MilkRunCycleLength = rand.Next(30, 120 + 1)
};
var variationMue = Utils.Uniform(rand, 0.0f, 0.2f);
Machine GenerateMachine(int i)
{
return(Machine.ConstructDefaultMachine(
Utils.Uniform(rand, 1.0f - variationMue, 1.0f + variationMue),
(int)Math.Round(Utils.Uniform(rand, 0.5f, 1.5f) * flc.MilkRunCycleLength)));
}
var bufferMean = Utils.Uniform(rand, 0.0f, 40.0f);
var bufferFactor = (float)rand.NextDouble();
Buffer GenerateBuffer(int i)
{
return(Buffer.ConstructDefaultBuffer(
(int)Math.Round(Utils.Uniform(rand, bufferMean * (1 - bufferFactor),
bufferMean * (1 + bufferFactor))), i));
}
flc.Machines = Enumerable.Range(0, flc.NumMachines).Select(GenerateMachine).ToList();
flc.Buffers = Enumerable.Range(0, flc.NumBuffers).Select(GenerateBuffer).ToList();
return(flc);
}
