internal void CancelChanges()
{
m_Dirty = m_bu_Dirty;
m_RequiresFullReprocessing = m_bu_RequiresFullReprocessing;
m_ProcessingType = m_bu_ProcessingType;
m_Binning = m_bu_Binning;
m_Normalisation = m_bu_Normalisation;
m_Filter = m_bu_Filter;
m_NormMethod = mbu__NormMethod;
SelectedFrameNo = bu_SelectedFrameNo;
for (int i = 0; i < 4; i++)
{
m_ReProcessApertures[i] = m_bu_ReProcessApertures[i];
}
for (int i = 0; i < 4; i++)
{
m_ReProcessFitAreas[i] = m_bu_ReProcessFitAreas[i];
}
for (int i = 0; i < 4; i++)
{
m_ObjectTitles[i] = m_bu_ObjectTitles[i];
}
m_ChartTitleLines = m_bu_ChartTitleLines;
}
internal void PrepareForCancelling()
{
m_bu_Dirty = m_Dirty;
m_bu_RequiresFullReprocessing = m_RequiresFullReprocessing;
m_bu_ProcessingType = m_ProcessingType;
m_bu_Binning = m_Binning;
m_bu_Normalisation = m_Normalisation;
m_bu_Filter = m_Filter;
mbu__NormMethod = m_NormMethod;
bu_SelectedFrameNo = SelectedFrameNo;
for (int i = 0; i < 4; i++)
m_bu_ReProcessApertures[i] = m_ReProcessApertures[i];
for (int i = 0; i < 4; i++)
m_bu_ReProcessFitAreas[i] = m_ReProcessFitAreas[i];
for (int i = 0; i < 4; i++)
m_bu_ObjectTitles[i] = m_ObjectTitles[i];
m_bu_ChartTitleLines = m_ChartTitleLines;
}
public static List <double> DenormaliseList(List <double> numbers, double[] inRange, double[] outRange, NormalisationMethod method = NormalisationMethod.Normal)
{
if (inRange.Length < 2 || outRange.Length < 2)
{
return(numbers);
}
return(numbers.Select(n => Denormalise(n, inRange[0], inRange[1], outRange[0], outRange[1], method)).ToList());
}
public static List <double> DenormaliseList(List <double> numbers, double max, NormalisationMethod method = NormalisationMethod.Normal)
{
return(DenormaliseList(numbers, new[] { 0, max }, new double[] { 0, 1 }, method));
}
public static double Denormalise(double number, double[] inRange, double[] outRange, NormalisationMethod method = NormalisationMethod.Normal)
{
if (inRange.Length < 2 || outRange.Length < 2)
{
return(0);
}
return(Denormalise(number, inRange[0], inRange[1], outRange[0], outRange[1], method));
}
public static double Denormalise(double number, double max, NormalisationMethod method = NormalisationMethod.Normal)
{
return(Denormalise(number, 0, 1, 0, max, method));
}
public static double DenormaliseObsolete(double number, double inMin, double inMax, double outMin, double outMax, NormalisationMethod method = NormalisationMethod.Normal)
{
double result;
switch (method)
{
case (NormalisationMethod.Normal):
result = DenormaliseNormal(number, inMin, inMax, outMin, outMax);
break;
case (NormalisationMethod.Gradiated):
result = DenormaliseGradiated(number, inMin, inMax, outMin, outMax);
break;
case (NormalisationMethod.Asymptotic):
result = DenormaliseAsymptotic(number, inMin, inMax, outMin, outMax);
break;
case (NormalisationMethod.AsymptoticSharp):
result = DenormaliseAsymptoticSharp(number, inMin, inMax, outMin, outMax);
break;
case (NormalisationMethod.AsymptoticSmooth):
result = DenormaliseAsymptotic(number, inMin, inMax, outMin, outMax);
break;
default:
result = DenormaliseNormal(number, inMin, inMax, outMin, outMax);
break;
}
return(result);
}
