public void UpdateBatchesData()
{
try
{
foreach (var c in m_Batches)
{
ListExtras.Resize <ScreenshotBatch.ActiveItem>(c.m_ActiveResolutions, m_Resolutions.Count);
for (int i = 0; i < m_Resolutions.Count && i < c.m_ActiveResolutions.Count; ++i)
{
c.m_ActiveResolutions[i].m_Name = m_Resolutions[i].ToString();
c.m_ActiveResolutions[i].m_Id = i;
// c.m_ActiveResolutions[i].m_Resolution = m_Resolutions[i];
}
ListExtras.Resize <ScreenshotBatch.ActiveItem>(c.m_ActiveCompositions, m_Compositions.Count);
for (int i = 0; i < m_Compositions.Count && i < c.m_ActiveCompositions.Count; ++i)
{
c.m_ActiveCompositions[i].m_Name = m_Compositions[i].m_Name;
c.m_ActiveCompositions[i].m_Id = i;
// c.m_ActiveCompositions[i].m_Composition = m_Compositions[i];
}
}
}
catch
{
}
}
//default constructor
public ProbabilisticGate(List <int> inputsAddress, List <int> outputsAddress, List <List <double> > rawTable, int id)
{
_id = id;
int i, j;
inputs = inputsAddress;
outputs = outputsAddress;
int numInputs = inputs.Count();
int numOutputs = outputs.Count();
ListExtras.Resize(table, 2 ^ numInputs);
//normalize each row
for (i = 0; i < (2 ^ numInputs); i++)
{ //for each row (each possible input bit string)
ListExtras.Resize(table[i], (2 ^ numOutputs));
// first sum the row
double S = 0;
for (j = 0; j < (2 ^ numOutputs); j++)
{
S += rawTable[i][j];
}
// now normalize the row
if (S == 0.0)
{ //if all the inputs on this row are 0, then give them all a probability of 1/(2^(number of outputs))
for (j = 0; j < (2 ^ numOutputs); j++)
{
table[i][j] = 1.0 / (2 ^ numOutputs);
}
}
else
{ //otherwise divide all values in a row by the sum of the row
for (j = 0; j < (2 ^ numOutputs); j++)
{
table[i][j] = rawTable[i][j] / S;
}
}
}
}
