public void Setup()
{
if (this._dataFewLow != null)
{
return;
}
Random rand = new Random(1234567);
this._dataFewLow = Enumerable.Range(0, _few).Select(x => (double)rand.Next(_few)).ToArray();
this._dataManyLow = Enumerable.Range(0, _many).Select(x => (double)rand.Next(_few)).ToArray();
this._dataFewHigh = Enumerable.Range(0, _few).Select(x => (double)rand.Next(_many)).ToArray();
this._dataManyHigh = Enumerable.Range(0, _many).Select(x => (double)rand.Next(_many)).ToArray();
this._dataFewLowL = this._dataFewLow.Select(x => (long)x).ToArray();
this._dataManyLowL = this._dataManyLow.Select(x => (long)x).ToArray();
this._dataFewHighL = this._dataFewHigh.Select(x => (long)x).ToArray();
this._dataManyHighL = this._dataManyHigh.Select(x => (long)x).ToArray();
this._p2_95Fast = new PsquareSinglePercentileAlgorithmBuilder(95, Precision.LessPreciseAndFaster);
this._p2_99Fast = new PsquareSinglePercentileAlgorithmBuilder(99, Precision.LessPreciseAndFaster);
this._p2_95Normal = new PsquareSinglePercentileAlgorithmBuilder(95, Precision.Normal);
this._p2_99Normal = new PsquareSinglePercentileAlgorithmBuilder(99, Precision.Normal);
this._ckms_95lowPrec = new ConstantErrorBasicCKMSBuilder(0.001, new double[] { 95 });
this._ckms_95highPrec = new ConstantErrorBasicCKMSBuilder(0.000001, new double[] { 95 });
this._hdr_low = new IntHistogram(Int32.MaxValue / 2, 0);
this._hdr_high = new IntHistogram(Int32.MaxValue, 0);
this._tDigest = new TDigest();
}
public int P2()
{
int res = 0;
for (int i = 0; i < _allocCount; i++)
{
var obj = new PsquareSinglePercentileAlgorithmBuilder(99, Precision.LessPreciseAndFaster);
obj.AddValue(1d);
obj.AddValue(2d);
res += obj.GetHashCode();
}
return(res);
}
