public void AddInputSynapse_SynapsePassed_ConnectionCreated()
{
var activationFunction = new Mock <IActivationFunction>();
var inputFunction = new Mock <IInputFunction>();
var neuron = new Neuron(activationFunction.Object, inputFunction.Object);
neuron.AddInputSynapse(0.11);
Assert.AreEqual(1, neuron.Inputs.Count);
Assert.AreEqual(1, neuron.Inputs.First().Weight);
Assert.AreEqual(0.11, neuron.Inputs.First().GetOutput());
}
public void AddInputSynapse_SynapseAdded_NumberOdSynapsesIncreased()
{
var activationFunction = new Mock <IActivationFunction>();
activationFunction.Setup(x => x.CalculateOutput(It.IsAny <double>())).Returns(111);
var inputFunction = new Mock <IInputFunction>();
inputFunction.Setup(x => x.CalculateInput(It.IsAny <List <ISynapse> >())).Returns(23);
var neuron = new Neuron(activationFunction.Object, inputFunction.Object);
neuron.AddInputSynapse(0);
Assert.AreEqual(1, neuron.Inputs.Count);
}
public void PushInputValueToInput_SendingValueToInput_ProperValueOnInputSet()
{
var activationFunction = new Mock <IActivationFunction>();
activationFunction.Setup(x => x.CalculateOutput(It.IsAny <double>())).Returns(111);
var inputFunction = new Mock <IInputFunction>();
inputFunction.Setup(x => x.CalculateInput(It.IsAny <List <ISynapse> >())).Returns(23);
var neuron = new Neuron(activationFunction.Object, inputFunction.Object);
neuron.AddInputSynapse(0);
neuron.PushValueOnInput(1);
Assert.AreEqual(1, neuron.Inputs.First().GetOutput());
}
