public void Random_numbers_are_spread_uniformly(int seed, int measurementsCount, int range, bool log)
{
var reservoir = new UniformHistogramReservoir();
var random = new Random(seed);
for (var i = 0; i < measurementsCount; i++)
{
reservoir.Add(random.Next(range));
}
var snapshot = reservoir.GetSnapshot();
var maxError = range * 0.05;
snapshot.MeasurementsCount.Should().Be(measurementsCount);
AssertQuantile(snapshot, 0, range, maxError, log);
AssertQuantile(snapshot, 0.25, range, maxError, log);
AssertQuantile(snapshot, 0.50, range, maxError, log);
AssertQuantile(snapshot, 0.75, range, maxError, log);
AssertQuantile(snapshot, 0.90, range, maxError, log);
AssertQuantile(snapshot, 0.95, range, maxError, log);
AssertQuantile(snapshot, 0.99, range, maxError, log);
AssertQuantile(snapshot, 0.999, range, maxError, log);
AssertQuantile(snapshot, 1, range, maxError, log);
}
public void Snapshot_should_contain_measurementCount_values_if_it_is_less_than_buckets_count()
{
var reservoir = new UniformHistogramReservoir();
for (var i = 0; i < 10; i++)
{
reservoir.Add(i);
}
var snapshot = reservoir.GetSnapshot();
snapshot.Sample.Count.Should().Be(10);
}
public Meter()
{
histogram = new UniformHistogramReservoir();
}
