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);
        }