private Dictionary <AggregationUnit, double[]> ApplyAggregationFunction <T>(DatasetInfo dataset,
T[] data,
byte[] status,
List <AggregationUnit> aggregationUnits) where T : unmanaged
{
var nanLimit = 0.99;
var dataset_double = default(double[]);
var partialBuffersMap = new Dictionary <AggregationUnit, double[]>();
foreach (var unit in aggregationUnits)
{
var aggregation = unit.Aggregation;
var period = unit.Period;
var method = unit.Method;
var argument = unit.Argument;
var sampleCount = dataset.GetSampleRate(ensureNonZeroIntegerHz: true).SamplesPerSecondAsUInt64 *(ulong)period;
switch (unit.Method)
{
case AggregationMethod.Mean:
case AggregationMethod.MeanPolar:
case AggregationMethod.Min:
case AggregationMethod.Max:
case AggregationMethod.Std:
case AggregationMethod.Rms:
case AggregationMethod.SampleAndHold:
case AggregationMethod.Sum:
if (dataset_double == null)
{
dataset_double = BufferUtilities.ApplyDatasetStatus <T>(data, status);
}
partialBuffersMap[unit] = this.ApplyAggregationFunction(method, argument, (int)sampleCount, dataset_double, nanLimit, _logger);
break;
case AggregationMethod.MinBitwise:
case AggregationMethod.MaxBitwise:
partialBuffersMap[unit] = this.ApplyAggregationFunction(method, argument, (int)sampleCount, data, status, nanLimit, _logger);
break;
default:
_logger.LogWarning($"The aggregation method '{unit.Method}' is not known. Skipping period {period}.");
continue;
}
}
return(partialBuffersMap);
}
