public void Cross_WithMultipleGene_Returns_Correctly()
{
var featureModel = new FeatureModel(Enumerable.Empty <Feature>(), Enumerable.Empty <PropertyRelation>());
var chromosome = new DeploymentChromosome(featureModel, new[]
{
new DeploymentGene(new FeatureIdentifier("a"), new MicroserviceIdentifier("a")),
new DeploymentGene(new FeatureIdentifier("b"), new MicroserviceIdentifier("b")),
new DeploymentGene(new FeatureIdentifier("c"), new MicroserviceIdentifier("c")),
});
var randomProvider = A.Fake <IRandomProvider>();
A.CallTo(() => randomProvider.GetRandom(0, 0)).WithAnyArguments().ReturnsNextFromSequence(0, 1, 0, 1);
var sot = new MergeMicroserviceCrossover(randomProvider);
var result = sot.Cross(new[] { chromosome, chromosome }).ToArray();
var expected = new DeploymentChromosome(featureModel, new[]
{
new DeploymentGene(new FeatureIdentifier("a"), new MicroserviceIdentifier("a")),
new DeploymentGene(new FeatureIdentifier("b"), new MicroserviceIdentifier("a")),
new DeploymentGene(new FeatureIdentifier("c"), new MicroserviceIdentifier("c")),
});
CollectionAssert.AreEqual(new[] { expected, expected }, result);
}
public void Cross_WithChromosomesOfDifferentLength_ThrowsException()
{
Assert.Throws <ArgumentException>(() =>
{
var chromosome = A.Fake <IDeploymentChromosome>();
A.CallTo(() => chromosome.Genes).Returns(Enumerable.Repeat(A.Fake <IDeploymentGene>(), 2).ToArray());
var secondChromsome = A.Fake <IDeploymentChromosome>();
A.CallTo(() => secondChromsome.Genes).Returns(Enumerable.Repeat(A.Fake <IDeploymentGene>(), 1).ToArray());
var sot = new MergeMicroserviceCrossover(A.Fake <IRandomProvider>());
sot.Cross(new[] { chromosome, secondChromsome }).ToArray();
});
}
public void Cross_WithSingleGene_Returns_SameChromosome()
{
var featureModel = new FeatureModel(new[]
{
new Feature(
new FeatureIdentifier("a"),
"a",
new[] { new Property(new PropertyIdentifier("p1"), "p1") }
)
}, Enumerable.Empty <PropertyRelation>());
var deploymentGenes = featureModel.Features.Select(f => new DeploymentGene(f.Id, new MicroserviceIdentifier(f.Id.Id))).ToArray();
var chromosome = new DeploymentChromosome(featureModel, deploymentGenes);
var randomProvider = A.Fake <IRandomProvider>();
A.CallTo(() => randomProvider.GetRandom()).Returns(0);
var sot = new MergeMicroserviceCrossover(randomProvider);
var result = sot.Cross(new[] { chromosome, chromosome }).ToArray();
CollectionAssert.AreEqual(new[] { chromosome, chromosome }, result);
}