public void GeneticSaveLoad2()
{
// ARRANGE
string path = Application.dataPath + "/Test/testWeights4.text";
List <double[][]> weights = new List <double[][]>();
double[][] w1 = new double[][] {
new double[] { 1.0, 3.0, 5.0, 7.0, 9.67 },
new double[] { 0.0, 2.0, 4.0, 6.0, 11.0 },
new double[] { 0.0, 2.89, 4.0, 6.0, 11.0 },
new double[] { 0.45, 2.0, 4.3, 6.0, 11.65 },
new double[] { 0.0, 2.0, 4.0, 6.67, 11.0 },
new double[] { 0.34, 2.0, 4.0, 6.0, 11.65 }
};
weights.Add(w1);
// ACT
SaveWeights.WriteToFile(path, weights);
GeneticWeights prop = new GeneticWeights();
prop.layers = new int[] { 6, 5 };
prop.lengthLayers = 2;
List <double[][]> weightsSaved = prop.LoadWeights(path);
// ASSERT
Assert.That(weightsSaved, Is.EqualTo(weights));
}
public void GeneticSaveLoad1()
{
// ARRANGE
string path = Application.dataPath + "/Test/testWeights3.text";
List <double[][]> weights = new List <double[][]>();
double[][] w1 = new double[][] {
new double[] { 1.0, 3.5 },
new double[] { 0.1, 2.0 },
new double[] { 0.4, 2.3 },
new double[] { 0.6, 2.0 }
};
weights.Add(w1);
// ACT
SaveWeights.WriteToFile(path, weights);
GeneticWeights prop = new GeneticWeights();
prop.layers = new int[] { 4, 2 };
prop.lengthLayers = 2;
List <double[][]> weightsSaved = prop.LoadWeights(path);
// ASSERT
Assert.That(weightsSaved, Is.EqualTo(weights));
}
//Initialise objects
void Start()
{
Rigidbody = GetComponent <Rigidbody>();
Outputs = new List <double>();
Car = new GeneticNetwork();
saveLoad = new GeneticWeights();
controller = new CarController();
Rigidbody.GetComponent <CarPhysics>().driver = Driver.AI;
position = new ResetPosition();
LoadChild();
}
//Initialise various methods and arrays
void Start()
{
fitnessMeasure = LearningModeScript.fitnessMeasure;
Population = LearningModeScript.Population;
Probability = LearningModeScript.Probability;
nextChild.onClick.AddListener(NextChild);
Rigidbody = GetComponent <Rigidbody>();
controller = new CarController();
saveLoad = new GeneticWeights();
Rigidbody.GetComponent <CarPhysics>().driver = Driver.AI;
Fitness = new double[Population];
Outputs = new List <double>();
Position = transform.position;
//Create cars of size population
Cars = new GeneticNetwork[Population];
//Initiate list of weights of size pupulation
for (int i = 0; i < Population; i++)
{
Cars[i] = new GeneticNetwork();
}
}
