public void only_detect_anomalies_in_interval()
{
var anomalyResult = _strategy.Detect(data, (25, 31));
var expected = Enumerable.Range(25, 6)
.Select(value => (value, new Anomaly(data[value], 1.0)));
anomalyResult.SequenceEqual(expected).ShouldBeTrue();
}
public void detect_no_anomalies_if_factors_are_set_to_max_value()
{
var strategy = new OnlineNormalStrategy(Double.MaxValue, Double.MaxValue);
var anomalyResult = strategy.Detect(data, (0, int.MaxValue));
var expected = Enumerable.Empty <(int, Anomaly)>();
anomalyResult.SequenceEqual(expected).ShouldBeTrue();
}
public void detect_all_anomalies_if_no_interval_specified()
{
var strategy = new OnlineNormalStrategy(3.5, 3.5, 0.2);
var anomalyResult = strategy.Detect(data, (0, int.MaxValue));
var expected = Enumerable.Range(20, 11)
.Select(value => (value, new Anomaly(data[value], 1.0)));
anomalyResult.SequenceEqual(expected).ShouldBeTrue();
}
public void ignore_upper_factor_if_none_is_given()
{
var strategy = new OnlineNormalStrategy(1.5, Option <double> .None);
var anomalyResult = strategy.Detect(data, (0, int.MaxValue));
var expected = Enumerable
.Range(21, 9)
.Where(x => x % 2 != 0)
.Select(value => (value, new Anomaly(data[value], 1.0)));
anomalyResult.SequenceEqual(expected).ShouldBeTrue();
}