/// <summary>Computations that depend on the observed value of firstCoin and numberOfIterations</summary>
/// <param name="numberOfIterations">The number of times to iterate each loop</param>
private void Changed_firstCoin_numberOfIterations(int numberOfIterations)
{
if (this.Changed_firstCoin_numberOfIterations_isDone)
{
return;
}
bool[] secondCoin_uses_F;
Bernoulli[] secondCoin_uses_B;
// Create array for 'secondCoin_uses' Forwards messages.
secondCoin_uses_F = new bool[1];
// Create array for 'secondCoin_uses' Backwards messages.
secondCoin_uses_B = new Bernoulli[1];
secondCoin_uses_B[0] = Bernoulli.Uniform();
bool bothHeads_F = default(bool);
for (int iteration = this.numberOfIterationsDone; iteration < numberOfIterations; iteration++)
{
// Message to 'secondCoin_marginal' from UsesEqualDef factor
this.secondCoin_marginal_F = UsesEqualDefGibbsOp <bool> .MarginalGibbs <Bernoulli>(secondCoin_uses_B, this.vBernoulli0, this.secondCoin_marginal_F);
// Message to 'secondCoin_uses' from UsesEqualDef factor
secondCoin_uses_F[0] = UsesEqualDefGibbsOp <bool> .UsesGibbs <Bernoulli>(this.secondCoin_marginal_F, 0, secondCoin_uses_F[0]);
// Message to 'bothHeads' from And factor
bothHeads_F = Factor.And(this.FirstCoin, secondCoin_uses_F[0]);
// Message to 'bothHeads_marginal' from ReplicateWithMarginal factor
this.bothHeads_marginal_F = ReplicateGibbsOp <bool> .MarginalGibbs <Bernoulli>(bothHeads_F, this.bothHeads_marginal_F);
this.OnProgressChanged(new ProgressChangedEventArgs(iteration));
}
this.Changed_firstCoin_numberOfIterations_isDone = true;
}
/// <summary>Computations that depend on the observed value of bothHeads and numberOfIterations</summary>
/// <param name="numberOfIterations">The number of times to iterate each loop</param>
private void Changed_bothHeads_numberOfIterations(int numberOfIterations)
{
if (this.Changed_bothHeads_numberOfIterations_isDone)
{
return;
}
bool[] firstCoin_uses_F;
Bernoulli[] firstCoin_uses_B;
// Create array for 'firstCoin_uses' Forwards messages.
firstCoin_uses_F = new bool[1];
// Create array for 'firstCoin_uses' Backwards messages.
firstCoin_uses_B = new Bernoulli[1];
firstCoin_uses_B[0] = Bernoulli.Uniform();
bool[] secondCoin_uses_F;
// Create array for 'secondCoin_uses' Forwards messages.
secondCoin_uses_F = new bool[1];
for (int iteration = this.numberOfIterationsDone; iteration < numberOfIterations; iteration++)
{
// Message to 'secondCoin_marginal' from UsesEqualDef factor
this.secondCoin_marginal_F = UsesEqualDefGibbsOp <bool> .MarginalGibbs <Bernoulli>(this.secondCoin_uses_B, this.vBernoulli0, this.secondCoin_marginal_F);
// Message to 'secondCoin_uses' from UsesEqualDef factor
secondCoin_uses_F[0] = UsesEqualDefGibbsOp <bool> .UsesGibbs <Bernoulli>(this.secondCoin_marginal_F, 0, secondCoin_uses_F[0]);
// Message to 'firstCoin_uses' from And factor
firstCoin_uses_B[0] = BooleanAndOp.AAverageConditional(this.BothHeads, secondCoin_uses_F[0]);
// Message to 'firstCoin_marginal' from UsesEqualDef factor
this.firstCoin_marginal_F = UsesEqualDefGibbsOp <bool> .MarginalGibbs <Bernoulli>(firstCoin_uses_B, this.vBernoulli0, this.firstCoin_marginal_F);
// Message to 'firstCoin_uses' from UsesEqualDef factor
firstCoin_uses_F[0] = UsesEqualDefGibbsOp <bool> .UsesGibbs <Bernoulli>(this.firstCoin_marginal_F, 0, firstCoin_uses_F[0]);
// Message to 'secondCoin_uses' from And factor
this.secondCoin_uses_B[0] = BooleanAndOp.BAverageConditional(this.BothHeads, firstCoin_uses_F[0]);
this.OnProgressChanged(new ProgressChangedEventArgs(iteration));
}
this.Changed_bothHeads_numberOfIterations_isDone = true;
}
