public void InterpolatePerformance2(LineSeries.SearchType search_type)
{
var valueGroups = Enumerable.Range(0, 1000001).Select(x => x * 1.0).ToLookup(x => ((int)x) % 2);
var interPoints = valueGroups[1].ToList();
var valuePoints = valueGroups[0].Select(x => new Point(x, x)).ToList();
var series = new LineSeries(valuePoints);
var result = series.Interpolate(interPoints, search_type).ToList();
}
public void InterpolatePerformance1(LineSeries.SearchType search_type)
{
var size = 1000000;
var valuePoints = new List <Point>()
{
new Point(0, 0),
new Point(size, size),
};
var interPoints = Enumerable.Range(0, size).Select(x => x * 1.0).ToList();
var series = new LineSeries(valuePoints);
var result = series.Interpolate(interPoints, search_type).ToList();
var expected = Enumerable.Range(0, size).Select(x => new Point(x, x)).ToList();
CollectionAssert.AreEqual(expected, result);
}
public void InterpolatePerformance3(LineSeries.SearchType search_type)
{
var randNumbers = new Random(0);
var interPoints = new List <double>();
var valuePoints = new List <Point>();
for (int i = 0; i < 100000; i++)
{
interPoints.Add(interPoints.LastOrDefault() + 100 * randNumbers.NextDouble());
}
for (int i = 0; i < 10000000; i++)
{
valuePoints.Add(new Point(valuePoints.LastOrDefault().X + randNumbers.NextDouble(), randNumbers.NextDouble()));
}
var series = new LineSeries(valuePoints);
var result = series.Interpolate(interPoints, search_type).ToList();
}
