public void And(bool val1, bool val2)
{
// Arrange
var boolTransformer = new BoolDecimalTransformer();
var receiver = new ValueStoringNeuron<bool>();
var perceptron = new OneToManyBufferingDecorator<decimal>(
new ManyInputNeuron<decimal, decimal>(
new DecimalSumFunction(),
new ActivationNeuron<decimal, decimal>(
new DecimalThresholdFunction
{
Threshold = 2M
}, new ActivationNeuron<decimal, bool>(
boolTransformer, receiver)))
, 2);
var leftNeuron = new ActivationNeuron<bool, decimal>(
boolTransformer,
perceptron);
var rightNeuron = new ActivationNeuron<bool, decimal>(
boolTransformer,
perceptron);
// Act
leftNeuron.OnNext(val1);
rightNeuron.OnNext(val2);
// Assert
var result = receiver.LastValue;
var expected = val1 && val2;
result.Should().Be(expected);
}
public void SutIsConsistantWithDecimalValues(BoolDecimalTransformer sut, decimal input)
{
var firstResult = sut.Evaluate(input);
var secondResult = sut.Evaluate(input);
Assert.Equal(firstResult, secondResult);
}
public void SutIsSymmetricalWithBooleanValues(BoolDecimalTransformer sut, bool input)
{
var output = sut.Evaluate(input);
var result = sut.Evaluate(output);
Assert.Equal(input, result);
}
public void Xor(bool val1, bool val2)
{
// Arrange
var boolTransformer = new BoolDecimalTransformer();
var receiver = new ValueStoringNeuron<bool>();
var wrappedReceiver = new OneToManyBufferingDecorator<decimal>(
new ManyInputNeuron<decimal, decimal>(
new DecimalSumFunction(),
new ActivationNeuron<decimal, decimal>(
new DecimalThresholdFunction
{
Threshold = 0.5M
}, new ActivationNeuron<decimal, bool>(
boolTransformer, receiver)))
, 3);
var pivotNeuron = new OneToManyBufferingDecorator<decimal>(
new ManyInputNeuron<decimal, decimal>(
new DecimalSumFunction(),
new ActivationNeuron<decimal, decimal>(
new DecimalThresholdFunction
{
Threshold = 1.5M
},
new DecimalWeight(wrappedReceiver, -2M)))
, 2);
var leftNeuron = new ActivationNeuron<bool, decimal>(
boolTransformer,
new CompositeObserver<decimal>(
new DecimalWeight(wrappedReceiver, 1),
new DecimalWeight(pivotNeuron, 1)));
var rightNeuron = new ActivationNeuron<bool, decimal>(
boolTransformer,
new CompositeObserver<decimal>(
new DecimalWeight(wrappedReceiver, 1),
new DecimalWeight(pivotNeuron, 1)));
// Act
leftNeuron.OnNext(val1);
rightNeuron.OnNext(val2);
// Assert
var result = receiver.LastValue;
var expected = val1 ^ val2;
result.Should().Be(expected);
}
public void SutIsBooleanToDecimalTransformer(BoolDecimalTransformer sut)
{
Assert.IsAssignableFrom<ITransformingFunction<bool, decimal>>(sut);
}
public void SutIsDecimalToBooleanTransformer(BoolDecimalTransformer sut)
{
Assert.IsAssignableFrom<ITransformingFunction<decimal, bool>>(sut);
}
