/// <summary>Computations that do not depend on observed values</summary>
public void Constant()
{
if (this.Constant_iterationsDone == 1)
{
return;
}
// The constant 'vBernoulli0'
Bernoulli vBernoulli0 = Bernoulli.FromLogOdds(0);
this.vbool0_marginal_F = ArrayHelper.MakeUniform <Bernoulli>(vBernoulli0);
// Message from use of 'vbool0'
Bernoulli vbool0_use_B = ArrayHelper.MakeUniform <Bernoulli>(vBernoulli0);
// Message to 'vbool0_marginal' from Variable factor
this.vbool0_marginal_F = VariableOp.MarginalAverageConditional <Bernoulli>(vbool0_use_B, vBernoulli0, this.vbool0_marginal_F);
this.vbool1_marginal_F = ArrayHelper.MakeUniform <Bernoulli>(vBernoulli0);
// Message from use of 'vbool1'
Bernoulli vbool1_use_B = ArrayHelper.MakeUniform <Bernoulli>(vBernoulli0);
// Message to 'vbool1_marginal' from Variable factor
this.vbool1_marginal_F = VariableOp.MarginalAverageConditional <Bernoulli>(vbool1_use_B, vBernoulli0, this.vbool1_marginal_F);
Bernoulli vbool2_F = ArrayHelper.MakeUniform <Bernoulli>(new Bernoulli());
this.vbool2_marginal_F = ArrayHelper.MakeUniform <Bernoulli>(new Bernoulli());
// Message from use of 'vbool2'
Bernoulli vbool2_use_B = ArrayHelper.MakeUniform <Bernoulli>(new Bernoulli());
// Message to 'vbool2' from And factor
vbool2_F = BooleanAndOp.AndAverageConditional(vBernoulli0, vBernoulli0);
// Message to 'vbool2_marginal' from DerivedVariable factor
this.vbool2_marginal_F = DerivedVariableOp.MarginalAverageConditional <Bernoulli>(vbool2_use_B, vbool2_F, this.vbool2_marginal_F);
this.Constant_iterationsDone = 1;
}
/// <summary>Computations that depend on the observed value of vbool2</summary>
public void Changed_vbool2()
{
if (this.Changed_vbool2_iterationsDone == 1)
{
return;
}
this.vbool2_marginal = Bernoulli.Uniform();
this.vbool2_marginal = Distribution.SetPoint <Bernoulli, bool>(this.vbool2_marginal, this.Vbool2);
// The constant 'vBernoulli0'
Bernoulli vBernoulli0 = Bernoulli.Uniform();
this.vbool0_marginal_F = Bernoulli.Uniform();
// Message from use of 'vbool0'
Bernoulli vbool0_use_B = Bernoulli.Uniform();
// Message to 'vbool0_use' from And factor
vbool0_use_B = BooleanAndOp.AAverageConditional(this.Vbool2, vBernoulli0);
// Message to 'vbool0_marginal' from Variable factor
this.vbool0_marginal_F = VariableOp.MarginalAverageConditional <Bernoulli>(vbool0_use_B, vBernoulli0, this.vbool0_marginal_F);
this.vbool1_marginal_F = Bernoulli.Uniform();
// Message from use of 'vbool1'
Bernoulli vbool1_use_B = Bernoulli.Uniform();
// Message to 'vbool1_use' from And factor
vbool1_use_B = BooleanAndOp.BAverageConditional(this.Vbool2, vBernoulli0);
// Message to 'vbool1_marginal' from Variable factor
this.vbool1_marginal_F = VariableOp.MarginalAverageConditional <Bernoulli>(vbool1_use_B, vBernoulli0, this.vbool1_marginal_F);
this.Changed_vbool2_iterationsDone = 1;
}
/// <summary>Computations that depend on the observed value of bothHeads</summary>
private void Changed_bothHeads()
{
if (this.Changed_bothHeads_isDone)
{
return;
}
this.bothHeads_marginal = Bernoulli.Uniform();
this.bothHeads_marginal = Distribution.SetPoint <Bernoulli, bool>(this.bothHeads_marginal, this.BothHeads);
Bernoulli vBernoulli0 = Bernoulli.Uniform();
this.firstCoin_marginal_F = Bernoulli.Uniform();
Bernoulli firstCoin_use_B = default(Bernoulli);
// Message to 'firstCoin_use' from And factor
firstCoin_use_B = BooleanAndOp.AAverageConditional(this.BothHeads, vBernoulli0);
// Message to 'firstCoin_marginal' from Variable factor
this.firstCoin_marginal_F = VariableOp.MarginalAverageConditional <Bernoulli>(firstCoin_use_B, vBernoulli0, this.firstCoin_marginal_F);
this.secondCoin_marginal_F = Bernoulli.Uniform();
Bernoulli secondCoin_use_B = default(Bernoulli);
// Message to 'secondCoin_use' from And factor
secondCoin_use_B = BooleanAndOp.BAverageConditional(this.BothHeads, vBernoulli0);
// Message to 'secondCoin_marginal' from Variable factor
this.secondCoin_marginal_F = VariableOp.MarginalAverageConditional <Bernoulli>(secondCoin_use_B, vBernoulli0, this.secondCoin_marginal_F);
this.Changed_bothHeads_isDone = true;
}
/// <summary>Computations that do not depend on observed values</summary>
private void Constant()
{
if (this.Constant_isDone)
{
return;
}
this.firstCoin_marginal_F = Bernoulli.Uniform();
this.secondCoin_marginal_F = Bernoulli.Uniform();
// Message to 'bothHeads' from And factor
this.bothHeads_F = BooleanAndOp.AndAverageLogarithm(this.firstCoin_marginal_F, this.secondCoin_marginal_F);
this.Constant_isDone = true;
}
/// <summary>Computations that depend on the observed value of firstCoin</summary>
private void Changed_firstCoin()
{
if (this.Changed_firstCoin_isDone)
{
return;
}
this.firstCoin_marginal = Bernoulli.Uniform();
this.firstCoin_marginal = Distribution.SetPoint <Bernoulli, bool>(this.firstCoin_marginal, this.FirstCoin);
this.secondCoin_marginal_F = Bernoulli.Uniform();
// Message to 'bothHeads' from And factor
this.bothHeads_F = BooleanAndOp.AndAverageLogarithm(this.FirstCoin, this.secondCoin_marginal_F);
this.Changed_firstCoin_isDone = true;
}
/// <summary>Computations that depend on the observed value of firstCoin</summary>
private void Changed_firstCoin()
{
if (this.Changed_firstCoin_isDone)
{
return;
}
this.firstCoin_marginal = Bernoulli.Uniform();
this.firstCoin_marginal = Distribution.SetPoint <Bernoulli, bool>(this.firstCoin_marginal, this.FirstCoin);
Bernoulli vBernoulli0 = Bernoulli.Uniform();
Bernoulli bothHeads_F = default(Bernoulli);
this.bothHeads_marginal_F = Bernoulli.Uniform();
Bernoulli bothHeads_use_B = Bernoulli.Uniform();
// Message to 'bothHeads' from And factor
bothHeads_F = BooleanAndOp.AndAverageConditional(this.FirstCoin, vBernoulli0);
// Message to 'bothHeads_marginal' from DerivedVariable factor
this.bothHeads_marginal_F = DerivedVariableOp.MarginalAverageConditional <Bernoulli>(bothHeads_use_B, bothHeads_F, this.bothHeads_marginal_F);
this.Changed_firstCoin_isDone = true;
}
/// <summary>Computations that do not depend on observed values</summary>
private void Constant()
{
if (this.Constant_isDone)
{
return;
}
Bernoulli vBernoulli0 = Bernoulli.Uniform();
this.firstCoin_marginal_F = Bernoulli.Uniform();
this.secondCoin_marginal_F = Bernoulli.Uniform();
Bernoulli bothHeads_F = default(Bernoulli);
this.bothHeads_marginal_F = Bernoulli.Uniform();
Bernoulli bothHeads_use_B = Bernoulli.Uniform();
// Message to 'bothHeads' from And factor
bothHeads_F = BooleanAndOp.AndAverageConditional(vBernoulli0, vBernoulli0);
// Message to 'bothHeads_marginal' from DerivedVariable factor
this.bothHeads_marginal_F = DerivedVariableOp.MarginalAverageConditional <Bernoulli>(bothHeads_use_B, bothHeads_F, this.bothHeads_marginal_F);
this.Constant_isDone = true;
}
/// <summary>Computations that do not depend on observed values</summary>
private void Constant()
{
if (this.Constant_isDone)
{
return;
}
Bernoulli vBernoulli0 = Bernoulli.Uniform();
this.vbool0_marginal_F = Bernoulli.Uniform();
this.vbool1_marginal_F = Bernoulli.Uniform();
Bernoulli vbool2_F = default(Bernoulli);
this.vbool2_marginal_F = Bernoulli.Uniform();
Bernoulli vbool2_use_B = Bernoulli.Uniform();
// Message to 'vbool2' from And factor
vbool2_F = BooleanAndOp.AndAverageConditional(vBernoulli0, vBernoulli0);
// Message to 'vbool2_marginal' from DerivedVariable factor
this.vbool2_marginal_F = DerivedVariableOp.MarginalAverageConditional <Bernoulli>(vbool2_use_B, vbool2_F, this.vbool2_marginal_F);
this.Constant_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;
}
