public Model()
{
// Construct the conversion table for number statistics. Initially it will contain the following values.
//
// 0 2 4 4 4 4 4 4 4 4 4 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
// 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
// 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
// 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
// 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
// 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
// 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
// 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
numberStatisticsToBinarySummaryIndex[0] = 2*0;
numberStatisticsToBinarySummaryIndex[1] = 2*1;
for (int index = 2; index < 11; index++)
numberStatisticsToBinarySummaryIndex[index] = 2*2;
for (int index = 11; index < 256; index++)
numberStatisticsToBinarySummaryIndex[index] = 2*3;
// Construct the probability table. Initially it will contain the following values (depending on the value of
// the upper frequency).
//
// 00 01 02 03 04 05 06 06 07 07 07 08 08 08 08 09 09 09 09 09 10 10 10 10 10 10 11 11 11 11 11 11
// 11 12 12 12 12 12 12 12 12 13 13 13 13 13 13 13 13 13 14 14 14 14 14 14 14 14 14 14 15 15 15 15
// 15 15 15 15 15 15 15 16 16 16 16 16 16 16 16 16 16 16 16 17 17 17 17 17 17 17 17 17 17 17 17 17
// 18 18 18 18 18 18 18 18 18 18 18 18 18 18 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 20 20 20
// 20 20 20 20 20 20 20 20 20 20 20 20 20 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 22 22
// 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23
// 23 23 23 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 25 25 25 25 25 25 25 25 25
// 25 25 25 25 25 25 25 25 25 25 25 25 26 26 26 26 26 26 26 26 26 26 26 26 26 26 26 26 26 26 26 26
// 26 26 27 27
uint count = 1;
uint step = 1;
uint probability = UpperFrequency;
for (int index = 0; index < UpperFrequency; index++)
probabilities[index] = (byte) index;
for (int index = UpperFrequency; index < 260; index++)
{
probabilities[index] = (byte) probability;
count--;
if (count == 0)
{
step++;
count = step;
probability++;
}
}
// Create the context array.
see2Contexts = new See2Context[24,32];
for (int index1 = 0; index1 < 24; index1++)
for (int index2 = 0; index2 < 32; index2++)
see2Contexts[index1, index2] = new See2Context();
// Set the signature (identifying the algorithm).
emptySee2Context = new See2Context();
emptySee2Context.Summary = (ushort) (Signature & 0x0000ffff);
emptySee2Context.Shift = (byte) ((Signature >> 16) & 0x000000ff);
emptySee2Context.Count = (byte) (Signature >> 24);
}
public Model()
{
// Construct the conversion table for number statistics. Initially it will contain the following values.
//
// 0 2 4 4 4 4 4 4 4 4 4 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
// 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
// 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
// 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
// 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
// 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
// 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
// 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
numberStatisticsToBinarySummaryIndex[0] = 2 * 0;
numberStatisticsToBinarySummaryIndex[1] = 2 * 1;
for (int index = 2; index < 11; index++)
{
numberStatisticsToBinarySummaryIndex[index] = 2 * 2;
}
for (int index = 11; index < 256; index++)
{
numberStatisticsToBinarySummaryIndex[index] = 2 * 3;
}
// Construct the probability table. Initially it will contain the following values (depending on the value of
// the upper frequency).
//
// 00 01 02 03 04 05 06 06 07 07 07 08 08 08 08 09 09 09 09 09 10 10 10 10 10 10 11 11 11 11 11 11
// 11 12 12 12 12 12 12 12 12 13 13 13 13 13 13 13 13 13 14 14 14 14 14 14 14 14 14 14 15 15 15 15
// 15 15 15 15 15 15 15 16 16 16 16 16 16 16 16 16 16 16 16 17 17 17 17 17 17 17 17 17 17 17 17 17
// 18 18 18 18 18 18 18 18 18 18 18 18 18 18 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 20 20 20
// 20 20 20 20 20 20 20 20 20 20 20 20 20 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 22 22
// 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23
// 23 23 23 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 25 25 25 25 25 25 25 25 25
// 25 25 25 25 25 25 25 25 25 25 25 25 26 26 26 26 26 26 26 26 26 26 26 26 26 26 26 26 26 26 26 26
// 26 26 27 27
uint count = 1;
uint step = 1;
uint probability = UpperFrequency;
for (int index = 0; index < UpperFrequency; index++)
{
probabilities[index] = (byte)index;
}
for (int index = UpperFrequency; index < 260; index++)
{
probabilities[index] = (byte)probability;
count--;
if (count == 0)
{
step++;
count = step;
probability++;
}
}
// Create the context array.
see2Contexts = new See2Context[24, 32];
for (int index1 = 0; index1 < 24; index1++)
{
for (int index2 = 0; index2 < 32; index2++)
{
see2Contexts[index1, index2] = new See2Context();
}
}
// Set the signature (identifying the algorithm).
emptySee2Context = new See2Context();
emptySee2Context.Summary = (ushort)(Signature & 0x0000ffff);
emptySee2Context.Shift = (byte)((Signature >> 16) & 0x000000ff);
emptySee2Context.Count = (byte)(Signature >> 24);
}