public void MeanTreeSize_GetResultValue_NullPopulation()
{
GeneticAlgorithm algorithm = new MockGeneticAlgorithm
{
SelectionOperator = new MockSelectionOperator(),
FitnessEvaluator = new MockFitnessEvaluator(),
GeneticEntitySeed = new TestTreeEntity(),
PopulationSeed = new SimplePopulation(),
};
algorithm.Metrics.Add(new MeanTreeSize());
MeanTreeSize target = new MeanTreeSize();
target.Initialize(algorithm);
Assert.Throws <ArgumentNullException>(() => target.GetResultValue(null));
}
public void MeanTreeSize_GetResultValue()
{
GeneticAlgorithm algorithm = new MockGeneticAlgorithm
{
SelectionOperator = new MockSelectionOperator(),
FitnessEvaluator = new MockFitnessEvaluator(),
GeneticEntitySeed = new TestTreeEntity(),
PopulationSeed = new SimplePopulation(),
};
algorithm.Metrics.Add(new MeanTreeSize());
MeanTreeSize target = new MeanTreeSize();
target.Initialize(algorithm);
SimplePopulation population = new SimplePopulation();
population.Initialize(algorithm);
TreeEntityBase entity = new TestTreeEntity();
entity.Initialize(algorithm);
entity.SetRootNode(new TreeNode());
entity.RootNode.ChildNodes.Add(new TreeNode());
entity.RootNode.ChildNodes.Add(new TreeNode());
entity.RootNode.ChildNodes[0].ChildNodes.Add(new TreeNode());
population.Entities.Add(entity);
entity = new TestTreeEntity();
entity.Initialize(algorithm);
entity.SetRootNode(new TreeNode());
population.Entities.Add(entity);
entity = new TestTreeEntity();
entity.Initialize(algorithm);
entity.SetRootNode(new TreeNode());
entity.RootNode.ChildNodes.Add(new TreeNode());
population.Entities.Add(entity);
object result = target.GetResultValue(population);
Assert.Equal(2.33, Math.Round((double)result, 2));
}