public static NormalizeOption FromPersistedName(string name)
{
if (string.IsNullOrEmpty(name))
{
return(FromNormalizationMethod(NormalizationMethod.NONE));
}
if (_specialOptions.TryGetValue(name, out Special specialNormalizeOption))
{
return(specialNormalizeOption);
}
return(FromNormalizationMethod(NormalizationMethod.FromName(name)));
}
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();
}
}
private object ParseValue(string value, Type type)
{
if (string.IsNullOrEmpty(value))
{
return(null);
}
if (type == typeof(SampleType))
{
return(SampleType.FromName(value));
}
if (type == typeof(NormalizationMethod))
{
return(NormalizationMethod.FromName(value));
}
return(Convert.ChangeType(value, type, DataSchema.DataSchemaLocalizer.FormatProvider));
}
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();
}
}