public override int GetHashCode()
{
unchecked
{
var hashCode = RegressionWeighting.GetHashCode();
hashCode = (hashCode * 397) ^ RegressionFit.GetHashCode();
hashCode = (hashCode * 397) ^ NormalizationMethod.GetHashCode();
hashCode = (hashCode * 397) ^ MsLevel.GetHashCode();
hashCode = (hashCode * 397) ^ (Units == null ? 0 : Units.GetHashCode());
return(hashCode);
}
}
void IXmlSerializable.ReadXml(XmlReader reader)
{
RegressionWeighting = RegressionWeighting.Parse(reader.GetAttribute(Attr.weighting));
RegressionFit = RegressionFit.Parse(reader.GetAttribute(Attr.fit));
NormalizationMethod = NormalizationMethod.FromName(reader.GetAttribute(Attr.normalization));
MsLevel = reader.GetNullableIntAttribute(Attr.ms_level);
Units = reader.GetAttribute(Attr.units);
bool empty = reader.IsEmptyElement;
reader.Read();
if (!empty)
{
reader.ReadEndElement();
}
}
public override int GetHashCode()
{
unchecked
{
var hashCode = RegressionWeighting.GetHashCode();
hashCode = (hashCode * 397) ^ RegressionFit.GetHashCode();
hashCode = (hashCode * 397) ^ NormalizationMethod.GetHashCode();
hashCode = (hashCode * 397) ^ MsLevel.GetHashCode();
hashCode = (hashCode * 397) ^ (Units == null ? 0 : Units.GetHashCode());
hashCode = (hashCode * 397) ^ LodCalculation.GetHashCode();
hashCode = (hashCode * 397) ^ MaxLoqBias.GetHashCode();
hashCode = (hashCode * 397) ^ MaxLoqCv.GetHashCode();
hashCode = (hashCode * 397) ^ SimpleRatios.GetHashCode();
return(hashCode);
}
}
void IXmlSerializable.ReadXml(XmlReader reader)
{
RegressionWeighting = RegressionWeighting.Parse(reader.GetAttribute(Attr.weighting));
RegressionFit = RegressionFit.Parse(reader.GetAttribute(Attr.fit));
NormalizationMethod = NormalizationMethod.FromName(reader.GetAttribute(Attr.normalization));
MsLevel = reader.GetNullableIntAttribute(Attr.ms_level);
Units = reader.GetAttribute(Attr.units);
LodCalculation = LodCalculation.Parse(reader.GetAttribute(Attr.lod_calculation));
MaxLoqBias = reader.GetNullableDoubleAttribute(Attr.max_loq_bias);
MaxLoqCv = reader.GetNullableDoubleAttribute(Attr.max_loq_cv);
bool empty = reader.IsEmptyElement;
reader.Read();
if (!empty)
{
reader.ReadEndElement();
}
}
public QuantificationSettings ChangeRegressionFit(RegressionFit regressionFit)
{
return(ChangeProp(ImClone(this), im => im.RegressionFit = regressionFit));
}
public CalibrationCurve ChangeRegressionFit(RegressionFit regressionFit)
{
return(ChangeProp(ImClone(this), im => im.RegressionFit = regressionFit));
}
public CalibrationCurve(RegressionFit regressionFit)
{
RegressionFit = regressionFit;
}
public double?GetX(double?y)
{
return(RegressionFit.GetX(this, y));
}
public double?GetY(double?x)
{
return(RegressionFit.GetY(this, x));
}
public QuantificationSettings ChangeRegressionFit(RegressionFit regressionFit)
{
return ChangeProp(ImClone(this), im => im.RegressionFit = regressionFit);
}
