public void TestIntTimeSeriesOddResampling()
{
var timeseries = new TimeSeriesStream <int>(new TimeSeriesSpan(begin, end, 5));
timeseries[0] = 7;
timeseries[1] = 10;
timeseries[2] = 23;
timeseries[3] = 50;
timeseries[4] = 12;
// Resample with slightly later start and slightly earlier end
var resampler1 = new TimeSeriesResampler <TimeSeriesStream <int>, int>(
new TimeSeriesSpan(begin.AddSeconds(5), end.AddSeconds(-5), 5));
resampler1.SampleAggregate(timeseries, x => (int)x.Average());
Assert.Equal(new List <int>()
{
10, 23, -1, 50, 12
}, resampler1.Resampled.Trimmed(-1));
// Resample with slightly earlier start and slightly later end
var resampler2 = new TimeSeriesResampler <TimeSeriesStream <int>, int>(
new TimeSeriesSpan(begin.AddSeconds(-5), end.AddSeconds(5), 5));
resampler2.SampleAggregate(timeseries, x => (int)x.Average());
Assert.Equal(new List <int>()
{
7, 10, 36, 12
}, resampler2.Resampled.Trimmed(-1));
}
public void TestDoubleTimeSeriesSampleAverage()
{
var timeseries = new TimeSeriesStream <double>(span);
timeseries[0] = 0d;
timeseries[1] = 10d;
timeseries[2] = 0.0;
timeseries[3] = 0.5;
timeseries[4] = 0.01;
timeseries[5] = 0.02;
timeseries[6] = 50.7;
timeseries[7] = 60.7;
timeseries[8] = 50000;
timeseries[9] = 100000;
var resampler = new TimeSeriesResampler <TimeSeriesStream <double>, double>(spanDownsampling);
resampler.SampleAggregate(timeseries, x => x.Average());
// results get cropped to 1 decimal place and to a max of short.MaxValue / 10
Assert.Equal(new List <double>()
{
5d, 0.2, 0.0, 55.7, 3276.7
}, resampler.Resampled.Trimmed(-1d));
}
public void TestIntTimeSeriesDownsampling()
{
var timeseries = new TimeSeriesStream <int>(span);
timeseries[0] = 1;
timeseries[3] = 23;
timeseries[7] = 43;
timeseries[8] = 5;
timeseries[9] = 99;
var resampler = new TimeSeriesResampler <TimeSeriesStream <int>, int>(spanDownsampling);
resampler.SampleAccumulate(timeseries);
Assert.Equal(new List <int>()
{
1, 23, -1, 43, 104
}, resampler.Resampled.Trimmed(-1));
}
public void TestIntTimeSeriesUpsampling()
{
var timeseries = new TimeSeriesStream <int>(span);
timeseries[0] = 1;
timeseries[3] = 23;
timeseries[7] = 43;
timeseries[8] = 5;
timeseries[9] = 99;
var resampler = new TimeSeriesResampler <TimeSeriesStream <int>, int>(spanUpsampling);
resampler.SampleAccumulate(timeseries);
// should upsample, because no oversample constraint was set
Assert.Equal(new List <int>()
{
1, -1, -1, -1, -1, -1, 23, -1, -1, -1, -1, -1, -1, -1, 43, -1, 5, -1, 99
}, resampler.Resampled.Trimmed(-1));
}
public void TestIntTimeSeriesDownsamplingNoOversampling()
{
var timeseries = new TimeSeriesStream <int>(span);
timeseries[0] = 1;
timeseries[3] = 23;
timeseries[7] = 43;
timeseries[8] = 5;
timeseries[9] = 99;
var resampler = new TimeSeriesResampler <TimeSeriesStream <int>, int>(spanDownsampling, SamplingConstraint.NoOversampling);
resampler.SampleAccumulate(timeseries);
// should downsample, because oversampling only happens while upsampling
Assert.Equal(new List <int>()
{
1, 23, -1, 43, 104
}, resampler.Resampled.Trimmed(-1));
}
public void TestIntTimeSeriesUpDownsampling()
{
var timeseries = new TimeSeriesStream <int>(span);
timeseries[0] = 1;
timeseries[3] = 23;
timeseries[7] = 43;
timeseries[8] = 5;
timeseries[9] = 99;
// upsample
var resampler = new TimeSeriesResampler <TimeSeriesStream <int>, int>(spanUpsampling);
resampler.SampleAccumulate(timeseries);
// downsample to the original
var resampler2 = new TimeSeriesResampler <TimeSeriesStream <int>, int>(span);
resampler2.SampleAccumulate(resampler.Resampled);
Assert.Equal(timeseries.Trimmed(-1), resampler2.Resampled.Trimmed(-1));
}
public void TestIntTimeSeriesSampleAverage()
{
var timeseries = new TimeSeriesStream <int>(span);
timeseries[0] = 0;
timeseries[1] = 10;
timeseries[2] = 0;
timeseries[3] = 50;
timeseries[4] = 10;
timeseries[5] = 20;
timeseries[6] = 50;
timeseries[7] = 60;
timeseries[8] = 5;
timeseries[9] = 10;
var resampler = new TimeSeriesResampler <TimeSeriesStream <int>, int>(spanDownsampling);
resampler.SampleAggregate(timeseries, x => (int)x.Average());
Assert.Equal(new List <int>()
{
5, 25, 15, 55, 7
}, resampler.Resampled.Trimmed(-1));
}