private IEnumerable <Event> Order()
{
var kb = kanban.Request();
yield return(kb);
env.Process(Produce(kb));
stockStat.UpdateTo(kanban.Remaining);
completedOrders++;
}
private IEnumerable <Event> StatProcess(Simulation env, TimeSeriesMonitor stat)
{
stat.UpdateTo(3);
yield return(env.TimeoutD(1));
stat.UpdateTo(1);
yield return(env.TimeoutD(1));
Assert.Equal(3, stat.Max);
Assert.Equal(2, stat.Mean);
Assert.Equal(1, stat.Current);
Assert.Equal(4, stat.Area);
Assert.Equal(2, stat.TotalTimeD);
Assert.Equal(1, stat.Variance);
}
public void TestTimeSeriesMonitor(double[] times, double[] values, double min, double max,
double mean, double variance, double area, double median)
{
var env = new Simulation();
var stat = new TimeSeriesMonitor(env, collect: false)
{
Active = false
};
var stat_collect = new TimeSeriesMonitor(env, collect: true)
{
Active = false
};
var count = 0;
foreach (var v in times.Zip(values, Tuple.Create))
{
if (v.Item1 > 0)
{
env.RunD(v.Item1);
}
if (count == 3)
{
stat.Active = stat_collect.Active = true;
}
stat.UpdateTo(v.Item2);
stat_collect.UpdateTo(v.Item2);
if (count == times.Length - 3)
{
stat.Active = stat_collect.Active = false;
}
count++;
}
Assert.Equal(min, stat.Min);
Assert.Equal(max, stat.Max);
Assert.Equal(mean, stat.Mean, 14);
Assert.Equal(variance, stat.Variance, 14);
Assert.Equal(area, stat.Area);
Assert.True(double.IsNaN(stat.GetMedian()));
Assert.True(double.IsNaN(stat.GetPercentile(0.25)));
Assert.True(double.IsNaN(stat.GetPercentile(0.75)));
Assert.Empty(stat.Series);
Assert.Equal(min, stat_collect.Min);
Assert.Equal(max, stat_collect.Max);
Assert.Equal(mean, stat_collect.Mean, 14);
Assert.Equal(variance, stat_collect.Variance, 14);
Assert.Equal(area, stat_collect.Area);
Assert.Equal(median, stat_collect.GetMedian());
Assert.True(stat_collect.GetPercentile(0.25) <= median);
Assert.True(stat_collect.GetPercentile(0.75) >= median);
Assert.Equal(values.Length - 5, stat_collect.Series.Count());
stat.Reset();
Assert.False(stat.Active);
stat_collect.Reset();
Assert.False(stat_collect.Active);
count = 0;
foreach (var v in times.Zip(values, Tuple.Create))
{
if (v.Item1 > 0)
{
env.RunD(v.Item1);
}
if (count == 3)
{
stat.Active = stat_collect.Active = true;
}
stat.UpdateTo(v.Item2);
stat_collect.UpdateTo(v.Item2);
if (count == times.Length - 3)
{
stat.Active = stat_collect.Active = false;
}
count++;
}
Assert.Equal(min, stat.Min);
Assert.Equal(max, stat.Max);
Assert.Equal(mean, stat.Mean, 14);
Assert.Equal(variance, stat.Variance, 14);
Assert.Equal(area, stat.Area);
Assert.True(double.IsNaN(stat.GetMedian()));
Assert.True(double.IsNaN(stat.GetPercentile(0.25)));
Assert.True(double.IsNaN(stat.GetPercentile(0.75)));
Assert.Empty(stat.Series);
Assert.Equal(min, stat_collect.Min);
Assert.Equal(max, stat_collect.Max);
Assert.Equal(mean, stat_collect.Mean, 14);
Assert.Equal(variance, stat_collect.Variance, 14);
Assert.Equal(area, stat_collect.Area);
Assert.Equal(median, stat_collect.GetMedian());
Assert.True(stat_collect.GetPercentile(0.25) <= median);
Assert.True(stat_collect.GetPercentile(0.75) >= median);
Assert.Equal(values.Length - 5, stat_collect.Series.Count());
}