public void Agent0x1Simulation_ZeroDimensional() { Console.WriteLine("Agent0x1Simulation_ZeroDimensional"); LoggerInitialization.SetThreshold(typeof(sim_tests), LogLevel.Debug); LoggerInitialization.SetThreshold(typeof(AbstractAgent), LogLevel.Info); LoggerInitialization.SetThreshold(typeof(AgentOrderbookLoader), LogLevel.Info); LoggerInitialization.SetThreshold(typeof(Agent0x0), LogLevel.Info); int dim = 0; string [] names = new string [0]; double [] mins = new double [0]; double [] maxs = new double [0]; IBlauSpace s = BlauSpace.create(dim, names, mins, maxs); IBlauPoint mean = new BlauPoint(s); IBlauPoint std = new BlauPoint(s); IDistribution d = new Distribution_Gaussian(s, mean, std); IAgentFactory afact = new Agent0x0_Factory(d); int NUMAGENTS = 10; IPopulation pop = PopulationFactory.Instance().create(afact, NUMAGENTS); foreach (IAgent ag in pop) { SingletonLogger.Instance().DebugLog(typeof(metrics_tests), "agent: " + ag); } string PATH = "" + ApplicationConfig.EXECDIR + "orderbooks/orderbook.csv"; AgentOrderbookLoader loader = MakeAgentOrderbookLoader(PATH); pop.addAgent(loader); IOrderbook_Observable ob = new Orderbook(); string PROPERTY = "NetWorth"; IAgentEvaluationBundle aeb = new AgentEvaluationBundle(PROPERTY); // 1 hours ISimulation sim = new Simulation(pop, ob, 0.0, 3600.0); NamedMetricAgentEvaluationFactory metricEF = new NamedMetricAgentEvaluationFactory(PROPERTY); sim.add(metricEF); SingletonLogger.Instance().DebugLog(typeof(sim_tests), "Running Simulation"); ISimulationResults res = sim.run(); SingletonLogger.Instance().DebugLog(typeof(sim_tests), "Stopping Simulation"); IAgentEvaluation ae = metricEF.create(); aeb.addAgentEvaluation(ae); SingletonLogger.Instance().DebugLog(typeof(sim_tests), "ob: " + ob.ToStringLong()); SingletonLogger.Instance().DebugLog(typeof(sim_tests), "aeb: " + aeb.ToStringLong()); SingletonLogger.Instance().DebugLog(typeof(sim_tests), "res: " + res.ToStringLong()); Assert.AreEqual(res.Valid, true); }
public void DummySimulation1() { Console.WriteLine("DummySimulation1"); LoggerInitialization.SetThreshold(typeof(sim_tests), LogLevel.Debug); LoggerInitialization.SetThreshold(typeof(AbstractAgent), LogLevel.Info); LoggerInitialization.SetThreshold(typeof(AgentDummy), LogLevel.Info); int dim = 3; string [] names = new string [3] { "x", "y", "z" }; double [] mins = new double [3] { 0.0, 0.0, 0.0 }; double [] maxs = new double [3] { 100.0, 100.0, 100.0 }; IBlauSpace s = BlauSpace.create(dim, names, mins, maxs); IBlauPoint mean = new BlauPoint(s); mean.setCoordinate(0, 10.0); mean.setCoordinate(1, 20.0); mean.setCoordinate(2, 30.0); IBlauPoint std = new BlauPoint(s); std.setCoordinate(0, 2.0); std.setCoordinate(1, 4.0); std.setCoordinate(2, 6.0); IDistribution d = new Distribution_Gaussian(s, mean, std); IAgentFactory afact = new AgentDummy_Factory(d); int NUMAGENTS = 100; IPopulation pop = PopulationFactory.Instance().create(afact, NUMAGENTS); foreach (IAgent ag in pop) { SingletonLogger.Instance().DebugLog(typeof(metrics_tests), "agent: " + ag); } IOrderbook_Observable ob = new Orderbook(); string PROPERTY = "NetWorth"; IAgentEvaluationBundle aeb = new AgentEvaluationBundle(PROPERTY); ISimulation sim = new Simulation(pop.clone(), ob.clone(), 0.0, 100.0); NamedMetricAgentEvaluationFactory metricEF = new NamedMetricAgentEvaluationFactory(PROPERTY); sim.add(metricEF); SingletonLogger.Instance().DebugLog(typeof(sim_tests), "Running Simulation"); ISimulationResults res = sim.run(); SingletonLogger.Instance().DebugLog(typeof(sim_tests), "Stopping Simulation"); IAgentEvaluation ae = metricEF.create(); aeb.addAgentEvaluation(ae); SingletonLogger.Instance().DebugLog(typeof(sim_tests), "aeb: " + aeb.ToStringLong()); SingletonLogger.Instance().DebugLog(typeof(sim_tests), "res: " + res.ToStringLong()); Assert.AreEqual(res.Valid, true); }