private IDistribution createGaussianMixture(double mean, double std, double mean2, double std2)
{
IDistribution d1 = create1DGaussian(mean, std);
IDistribution d2 = create1DGaussian(mean2, std2);
int dim = 1;
string [] names = new string [1] {
"x"
};
double [] mins = new double [1] {
0.00
};
double [] maxs = new double [1] {
100.0
};
IBlauSpace s = BlauSpace.create(dim, names, mins, maxs);
Mixture d = new Mixture(s);
d.Add(d1, 0.75);
d.Add(d2, 0.25);
d.DistributionComplete();
return(d);
}
public void AgentEvaluationTest()
{
Console.WriteLine("AgentEvaluationTest");
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);
string PROPERTY = "NetWorth";
IAgentEvaluation ae = new AgentEvaluation(PROPERTY, null);
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;
IAgent[] agents = new IAgent[NUMAGENTS];
for (int i = 0; i < NUMAGENTS; i++)
{
agents[i] = afact.create();
SingletonLogger.Instance().DebugLog(typeof(metrics_tests), "agent[" + i + "]: " + agents[i]);
}
double VAL = 1.0;
for (int i = 0; i < NUMAGENTS; i++)
{
ae.set(agents[i], VAL);
}
for (int i = 0; i < NUMAGENTS; i++)
{
Assert.AreEqual(ae.eval(agents[i]), VAL);
}
SingletonLogger.Instance().DebugLog(typeof(metrics_tests), "ae: " + ae.ToStringLong());
}
public void DistributionSpaceIterator_GaussianMixtureTest()
{
Console.WriteLine("DistributionSpaceIterator_GaussianMixtureTest");
double mean = 70.0;
double std = 1.0;
IDistribution d1 = create1DGaussian(mean, std);
double mean2 = 20.0;
double std2 = 1.0;
IDistribution d2 = create1DGaussian(mean2, std2);
int dim = 1;
string [] names = new string [1] {
"x"
};
double [] mins = new double [1] {
0.00
};
double [] maxs = new double [1] {
100.0
};
IBlauSpace s = BlauSpace.create(dim, names, mins, maxs);
Mixture d = new Mixture(s);
d.Add(d1, 0.75);
d.Add(d2, 0.25);
d.DistributionComplete();
SingletonLogger.Instance().DebugLog(typeof(dist_tests), "original distribution: " + d);
DistributionSpace ds = new DistributionSpace(d);
int [] steps = new int[ds.ParamSpace.Dimension];
for (int N = 3; N <= 5; N++)
{
for (int i = 0; i < ds.ParamSpace.Dimension; i++)
{
steps[i] = N;
}
IDistributionSpaceIterator it = ds.iterator(steps);
int count = 0;
int validCt = 0;
foreach (IDistribution diter in it)
{
if (diter.IsValid())
{
validCt++;
SingletonLogger.Instance().DebugLog(typeof(dist_tests), "iterator distribution: " + diter);
}
count++;
}
Assert.AreEqual((N + 1) * (N + 1) * (N + 1) * (N + 1) * (N + 1) * (N + 1), count);
SingletonLogger.Instance().InfoLog(typeof(dist_tests), "N=" + N + " valid distributions: " + validCt + " / total: " + count);
}
}
public Mixture_Immutable(IBlauSpace space) : base(space, 0)
{
// _component = new Dictionary<IDistribution, double>();
// _component = new C5.HashDictionary<IDistribution, double>();
_component = new List <MixtureComponent>();
_completed = false;
}
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 static factory method
public static IBlauSpaceLattice create(IBlauSpace space, int[] steps)
{
BlauSpaceLattice s = new BlauSpaceLattice(space, steps);
BlauSpaceLatticeRegistry.Instance().add(s);
BlauSpaceLattice s_validated = BlauSpaceLatticeRegistry.Instance().validate(s);
return(s_validated);
}
public AbstractAtomicDistribution(IBlauSpace space, int par) : base(space, par)
{
if (space.Dimension != 1)
{
throw new Exception("AbstractAtomicDistribution must be one-dimensional");
}
initParamRange(par);
}
/*
* protected override int RecalculateHashCode() {
* int val = 0;
* int digit = 1;
* for (int i=0; i<this.Space.Dimension; i++) {
* val += getQuantizedCoordinate(i) * digit;
* val = val % Int16.MaxValue;
*
* digit *= _quantizer.getSteps(i);
* digit = digit % Int16.MaxValue;
* }
* return val;
* }
*/
public QuantizedBlauPoint(IBlauSpace space, IBlauSpaceLattice quantizer) : base(space)
{
_quantizer = quantizer;
_quantizedCoords = new int [space.Dimension];
for (int i = 0; i < space.Dimension; i++)
{
this.setQuantizedCoordinate(i, 0);
}
}
// copy constructor
public BlauPoint(IBlauPoint orig)
{
_space = orig.Space;
_coords = new double [orig.Space.Dimension];
for (int i = 0; i < orig.Space.Dimension; i++)
{
_coords[i] = orig.getCoordinate(i);
}
_dirty = true;
}
// deserializer consults the blauspace registry to avoid duplicate instantiations
public Object GetRealObject(StreamingContext context)
{
IBlauSpace s_validated = BlauSpaceRegistry.Instance().validate(this);
if (LoggerDiags.Enabled)
{
SingletonLogger.Instance().InfoLog(typeof(BlauSpace), "VALIDATING BLAUSPACE");
}
return(s_validated);
}
// constructor
public BlauPoint(IBlauSpace space)
{
_space = space;
_coords = new double [space.Dimension];
for (int i = 0; i < space.Dimension; i++)
{
_coords[i] = space.getAxis(i).MinimumValue;
}
_dirty = true;
}
public void BlauSpaceLatticeSerializationTest()
{
Console.WriteLine("BlauSpaceLatticeSerializationTest");
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, 200.0, 300.0
};
IBlauSpace bs = BlauSpace.create(dim, names, mins, maxs);
int [] steps1 = new int [3] {
10, 10, 10
};
IBlauSpaceLattice bsl1a = BlauSpaceLattice.create(bs, steps1);
IBlauSpaceLattice bsl1b = BlauSpaceLattice.create(bs, steps1);
Assert.AreEqual(bsl1a == bsl1b, true);
int [] steps2 = new int [3] {
20, 20, 20
};
IBlauSpaceLattice bsl2 = BlauSpaceLattice.create(bs, steps2);
Assert.AreEqual(bsl1a == bsl2, false);
FileStream fs = new FileStream("bsl1.xml", FileMode.Create);
SoapFormatter formatter = new SoapFormatter();
formatter.Serialize(fs, bsl1a);
fs.Flush();
fs.Close();
SingletonLogger.Instance().DebugLog(typeof(blau_tests), "bsl1a => " + bsl1a.ToString());
FileStream fs2 = new FileStream("bsl1.xml", FileMode.Open);
BlauSpaceLattice bsl1read = (BlauSpaceLattice)formatter.Deserialize(fs2);
fs2.Close();
SingletonLogger.Instance().DebugLog(typeof(blau_tests), "bs1read => " + bsl1read.ToString());
IBlauSpaceLattice bsl3 = BlauSpaceLatticeRegistry.Instance().validate(bsl1read);
Assert.AreEqual(bsl1a == bsl3, true);
SingletonLogger.Instance().DebugLog(typeof(blau_tests), "bs1a agrees with validated bs1read");
Assert.AreEqual(bsl1a == bsl1read, true);
SingletonLogger.Instance().DebugLog(typeof(blau_tests), "bs1a agrees with bs1read");
}
private bool IntersectsFactors(IBlauSpace s1)
{
foreach (IDistribution d in _factor)
{
if (BlauSpace.intersects(s1, d.SampleSpace))
{
return(true);
}
}
return(false);
}
// static factory method, which consults registry to avoid multiple instantiations
public static IBlauSpace create(int dimension, string [] names, double [] min, double [] max)
{
BlauSpace s = new BlauSpace(dimension, names, min, max);
// register new instances with the registry
BlauSpaceRegistry.Instance().add(s);
// query the registry for canonical representative
IBlauSpace s_validated = BlauSpaceRegistry.Instance().validate(s);
return(s_validated);
}
public void Agent0x1Simulation_AgentTrajectories1()
{
Console.WriteLine("Agent0x1Simulation_AgentTrajectories1");
LoggerInitialization.SetThreshold(typeof(sim_tests), LogLevel.Debug);
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();
// 1 hours
ISimulation sim = new Simulation(pop, ob, 0.0, 3600.0);
IAgent agent = PopulationSelector.Select(pop);
ITrajectoryFactory agTF = new TrajectoryFactory_AgentOrders(agent, 10.0, 0.0);
sim.add(agTF);
ITrajectoryFactory agTF2 = new TrajectoryFactory_AgentNamedMetric(agent, "NetWorth", 10.0, 0.0);
sim.add(agTF2);
ITrajectoryFactory agTF3 = new TrajectoryFactory_AgentNamedMetric(agent, "NetWorth", 10.0, 0.99);
sim.add(agTF3);
SingletonLogger.Instance().DebugLog(typeof(sim_tests), "Running Simulation");
ISimulationResults res = sim.run();
SingletonLogger.Instance().DebugLog(typeof(sim_tests), "Stopping Simulation");
SingletonLogger.Instance().DebugLog(typeof(sim_tests), "Results\n" + res.ToStringLong());
Assert.AreEqual(res.Valid, true);
}
public void BlauSpaceRegistryTest()
{
Console.WriteLine("BlauSpaceRegistryTest");
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, 200.0, 300.0
};
IBlauSpace s = BlauSpace.create(dim, names, mins, maxs);
IBlauSpace s2 = BlauSpace.create(dim, names, mins, maxs);
IBlauSpace s3 = BlauSpace.create(dim, names, mins, maxs);
Assert.AreSame(s, s2);
Assert.AreSame(s2, s3);
Assert.AreSame(s, s3);
names = new string [3] {
"x", "y", "z1"
};
IBlauSpace X1 = BlauSpace.create(dim, names, mins, maxs);
Assert.AreNotSame(s, X1);
names = new string [3] {
"x", "y", "z"
};
mins = new double [3] {
0.0, 0.0, 0.1
};
IBlauSpace X2 = BlauSpace.create(dim, names, mins, maxs);
Assert.AreNotSame(s, X2);
mins = new double [3] {
0.0, 0.0, 0.0
};
maxs = new double [3] {
100.0, 200.1, 300.0
};
IBlauSpace X3 = BlauSpace.create(dim, names, mins, maxs);
Assert.AreNotSame(s, X3);
Assert.AreNotSame(X1, X2);
Assert.AreNotSame(X2, X3);
Assert.AreNotSame(X1, X3);
}
// getter which swaps in pre-existing identical blauspace, if one exists
public IBlauSpace validate(IBlauSpace s)
{
if (!_spaces.ContainsKey(s.HashedName))
{
add(s);
return(s);
}
else
{
return(_spaces[s.HashedName]);
}
}
public void BlauSpaceZEROTest()
{
Console.WriteLine("BlauSpaceTest");
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);
Assert.AreEqual(s.Dimension, 0);
SingletonLogger.Instance().DebugLog(typeof(blau_tests), "Zero dimensional BS => " + s);
}
private static IDistribution create2DGaussian(double mean, double std, double mean2, double std2)
{
int dim = 1;
string [] names = new string [1] {
"x"
};
double [] mins = new double [1] {
0.00
};
double [] maxs = new double [1] {
100.0
};
IBlauSpace s = BlauSpace.create(dim, names, mins, maxs);
IDistribution d = new Distribution_Gaussian(s, mean, std);
int dim2 = 1;
string [] names2 = new string [1] {
"y"
};
double [] mins2 = new double [1] {
0.00
};
double [] maxs2 = new double [1] {
100.0
};
IBlauSpace s2 = BlauSpace.create(dim2, names2, mins2, maxs2);
IDistribution d2 = new Distribution_Gaussian(s2, mean2, std2);
int dim3 = 2;
string [] names3 = new string [2] {
"x", "y"
};
double [] mins3 = new double [2] {
0.00, 0.00
};
double [] maxs3 = new double [2] {
100.0, 100.0
};
IBlauSpace s3 = BlauSpace.create(dim3, names3, mins3, maxs3);
Product d3 = new Product(s3);
d3.Add(d);
d3.Add(d2);
d3.DistributionComplete();
return(d3);
}
public void DistributionSpaceIterator_SingleIntervalTest()
{
Console.WriteLine("DistributionSpaceIterator_SingleIntervalTest");
int dim = 1;
string [] names = new string [1] {
"x"
};
double [] mins = new double [1] {
0.00
};
double [] maxs = new double [1] {
100.0
};
IBlauSpace s = BlauSpace.create(dim, names, mins, maxs);
double min = 20.0;
double max = 80.0;
IDistribution d = new Distribution_Interval(s, min, max);
SingletonLogger.Instance().DebugLog(typeof(dist_tests), "original distribution: " + d);
DistributionSpace ds = new DistributionSpace(d);
int [] steps = new int[ds.ParamSpace.Dimension];
for (int N = 3; N <= 5; N++)
{
for (int i = 0; i < ds.ParamSpace.Dimension; i++)
{
steps[i] = N;
}
IDistributionSpaceIterator it = ds.iterator(steps);
int count = 0;
int validCt = 0;
foreach (IDistribution d2 in it)
{
if (d2.IsValid())
{
validCt++;
SingletonLogger.Instance().DebugLog(typeof(dist_tests), "iterator distribution: " + d2);
}
count++;
}
Assert.AreEqual((N + 1) * (N + 1), count);
SingletonLogger.Instance().InfoLog(typeof(dist_tests), "N=" + N + " valid distributions: " + validCt + " / total: " + count);
}
}
private static IDistribution createPointed(double[] p)
{
int dim = p.Length;
IDistribution [] d = new IDistribution[dim];
IDistribution prodd = null;
string [] names_all = new string [dim];
double [] mins_all = new double [dim];
double [] maxs_all = new double [dim];
IBlauSpace [] s = new IBlauSpace[dim];
IBlauSpace prods = null;
for (int i = 0; i < dim; i++)
{
string [] names = new string [1] {
"x" + i
};
double [] mins = new double [1] {
0.00
};
double [] maxs = new double [1] {
100.0
};
IBlauSpace s1 = BlauSpace.create(1, names, mins, maxs);
d[i] = new Distribution_Pointed(s1, p [i]);
names_all[i] = names[0];
mins_all[i] = mins[0];
maxs_all[i] = maxs[0];
s[i] = BlauSpace.create(i + 1, names_all, mins_all, maxs_all);
if (i == 0)
{
prods = s[i];
prodd = d[i];
}
else
{
prods = s[i];
Product prodd2 = new Product(prods);
prodd2.Add(prodd);
prodd2.Add(d[i]);
prodd2.DistributionComplete();
prodd = prodd2;
}
}
return(prodd);
}
// add a blauspace lattice to the registry
public void add(IBlauSpace s)
{
if (!_spaces.ContainsKey(s.HashedName))
{
if (LoggerDiags.Enabled)
{
SingletonLogger.Instance().DebugLog(typeof(BlauSpace), "BlauSpaceRegistry is adding " + s.HashedName);
}
_spaces.Add(s.HashedName, s);
if (LoggerDiags.Enabled)
{
SingletonLogger.Instance().InfoLog(typeof(BlauSpaceLatticeRegistry), "BlauSpaceRegistry size is now " + _spaces.Count);
}
}
}
// check if two BlauSpaces have a nontrivial intersection
public static bool intersects(IBlauSpace s1, IBlauSpace s2)
{
for (int i = 0; i < s1.Dimension; i++)
{
if (s2.hasAxis(s1.getAxis(i).Name))
{
return(true);
}
else
{
continue;
}
}
return(false);
}
public void Distribution_IntervalSerializationTest()
{
Console.WriteLine("Distribution_IntervalSerializationTest");
int dim = 1;
string [] names = new string [1] {
"x"
};
double [] mins = new double [1] {
0.00
};
double [] maxs = new double [1] {
100.0
};
IBlauSpace s = BlauSpace.create(dim, names, mins, maxs);
double min = 10.0;
double max = 30.0;
IDistribution d = new Distribution_Interval(s, min, max);
SingletonLogger.Instance().DebugLog(typeof(dist_tests), "distribution: " + d);
SoapFormatter formatter = new SoapFormatter();
FileStream fs = new FileStream("interval.xml", FileMode.Create);
formatter.Serialize(fs, d);
fs.Close();
fs = new FileStream("interval.xml", FileMode.Open);
IDistribution d2 = (IDistribution)formatter.Deserialize(fs);
fs.Close();
Assert.AreEqual(d.SampleSpace == d2.SampleSpace, true);
Assert.AreEqual(d is Distribution_Interval, true);
Assert.AreEqual(d2 is Distribution_Interval, true);
Distribution_Interval g1 = (Distribution_Interval)d;
Distribution_Interval g2 = (Distribution_Interval)d2;
Assert.AreEqual(g1.Max, g2.Max);
Assert.AreEqual(g1.Min, g2.Min);
Assert.AreEqual(g1.Params, g2.Params);
Assert.AreEqual(g1.SampleSpace, g2.SampleSpace);
SingletonLogger.Instance().DebugLog(typeof(dist_tests), "All distributions coincide as expected");
}
public void Distribution_GaussianSerializationTest()
{
Console.WriteLine("Distribution_Gaussian1DSerializationTest");
int dim = 1;
string [] names = new string [1] {
"x"
};
double [] mins = new double [1] {
0.00
};
double [] maxs = new double [1] {
100.0
};
IBlauSpace s = BlauSpace.create(dim, names, mins, maxs);
double mean = 70.0;
double std = 1.0;
IDistribution d = new Distribution_Gaussian(s, mean, std);
SingletonLogger.Instance().DebugLog(typeof(dist_tests), "distribution: " + d);
SoapFormatter formatter = new SoapFormatter();
FileStream fs = new FileStream("gaussian.xml", FileMode.Create);
formatter.Serialize(fs, d);
fs.Close();
fs = new FileStream("gaussian.xml", FileMode.Open);
IDistribution d2 = (IDistribution)formatter.Deserialize(fs);
fs.Close();
Assert.AreEqual(d.SampleSpace == d2.SampleSpace, true);
Assert.AreEqual(d is Distribution_Gaussian, true);
Assert.AreEqual(d2 is Distribution_Gaussian, true);
Distribution_Gaussian g1 = (Distribution_Gaussian)d;
Distribution_Gaussian g2 = (Distribution_Gaussian)d2;
Assert.AreEqual(g1.Mean.CompareTo(g2.Mean), 0);
Assert.AreEqual(g1.Std.CompareTo(g2.Std), 0);
Assert.AreEqual(g1.Params, g2.Params);
Assert.AreEqual(g1.SampleSpace, g2.SampleSpace);
SingletonLogger.Instance().DebugLog(typeof(dist_tests), "All distributions coincide as expected");
}
public void QuantizedBlauPointTest()
{
Console.WriteLine("QuantizedBlauPointTest");
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);
int STEPS = 10;
int[] STEPSarray = new int[s.Dimension]; for (int j = 0; j < s.Dimension; j++)
{
STEPSarray[j] = STEPS;
}
IBlauSpaceLattice bsl = BlauSpaceLattice.create(s, STEPSarray);
IBlauSpaceLattice bsl2 = BlauSpaceLattice.create(s, STEPSarray);
IBlauPoint bp = new QuantizedBlauPoint(s, bsl);
IBlauPoint bp2 = new QuantizedBlauPoint(s, bsl2);
IBlauPoint bp3 = new QuantizedBlauPoint(s, bsl);
bp.setCoordinate(0, 10.0);
bp.setCoordinate(1, 20.0);
bp.setCoordinate(2, 30.0);
bp2.setCoordinate(0, 9.99);
bp2.setCoordinate(1, 19.99);
bp2.setCoordinate(2, 29.99);
bp3.setCoordinate(0, 10.01);
bp3.setCoordinate(1, 20.01);
bp3.setCoordinate(2, 30.01);
Assert.AreEqual(bp.CompareTo(bp2), 0);
Assert.AreEqual(bp.CompareTo(bp3), 0);
Assert.AreEqual(bp2.CompareTo(bp), 0);
Assert.AreEqual(bp.CompareTo(bp), 0);
Assert.AreEqual(bp3.CompareTo(bp), 0);
Assert.AreEqual(bp3.CompareTo(bp2), 0);
}
public void BlauPointComparerTest()
{
Console.WriteLine("BlauPointComparerTest");
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, 200.0, 300.0
};
IBlauSpace s = BlauSpace.create(dim, names, mins, maxs);
IBlauPoint bp = new BlauPoint(s);
bp.setCoordinate(0, 10.0);
bp.setCoordinate(1, 20.0);
bp.setCoordinate(2, 30.0);
IBlauPoint bp2 = bp.clone();
Dictionary <IBlauPoint, int> dic = new Dictionary <IBlauPoint, int>(new BlauPointComparer());
dic.Add(bp, 1);
Assert.AreEqual(dic.ContainsKey(bp), true);
Assert.AreEqual(dic.ContainsKey(bp2), true);
Assert.Throws <System.ArgumentException>(delegate { dic.Add(bp2, 2); });
Assert.AreEqual(dic.Count, 1);
Assert.AreEqual(dic[bp], 1);
Assert.AreEqual(dic[bp2], 1);
Dictionary <IBlauPoint, int> dic2 = new Dictionary <IBlauPoint, int>(new BlauPointComparer());
dic2.Add(bp2, 2);
Assert.AreEqual(dic2.ContainsKey(bp2), true);
Assert.AreEqual(dic2.ContainsKey(bp), true);
Assert.Throws <System.ArgumentException>(delegate { dic.Add(bp, 1); });
Assert.AreEqual(dic2.Count, 1);
Assert.AreEqual(dic2[bp], 2);
Assert.AreEqual(dic2[bp2], 2);
}
public void BlauPointSerializationTest()
{
Console.WriteLine("BlauSpaceSerializationTest");
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, 200.0, 300.0
};
IBlauSpace bs = BlauSpace.create(dim, names, mins, maxs);
SoapFormatter formatter = new SoapFormatter();
// BinaryFormatter formatter = new BinaryFormatter();
BlauPoint p1 = new BlauPoint(bs);
BlauPoint p2 = new BlauPoint(bs);
FileStream fs = new FileStream("p1.xml", FileMode.Create);
formatter.Serialize(fs, p1);
fs.Close();
fs = new FileStream("p2.xml", FileMode.Create);
formatter.Serialize(fs, p2);
fs.Close();
fs = new FileStream("p1.xml", FileMode.Open);
BlauPoint p1r = (BlauPoint)formatter.Deserialize(fs);
fs.Close();
fs = new FileStream("p2.xml", FileMode.Open);
BlauPoint p2r = (BlauPoint)formatter.Deserialize(fs);
fs.Close();
Assert.AreEqual(p1r.Space == p1.Space, true);
Assert.AreEqual(p2r.Space == p2.Space, true);
Assert.AreEqual(p1r.Space == p2r.Space, true);
Assert.AreEqual(p1.Space == p2.Space, true);
SingletonLogger.Instance().DebugLog(typeof(blau_tests), "All spaces coincides as expected");
}
private static IDistribution create1DGaussian(double mean, double std)
{
int dim = 1;
string [] names = new string [1] {
"x"
};
double [] mins = new double [1] {
0.00
};
double [] maxs = new double [1] {
100.0
};
IBlauSpace s = BlauSpace.create(dim, names, mins, maxs);
IDistribution d = new Distribution_Gaussian(s, mean, std);
return(d);
}
public DistributionSpace(IDistribution d)
{
_d = d;
int parms = d.Params;
string [] names = new string[parms];
double [] min = new double[parms];
double [] max = new double[parms];
for (int i = 0; i < parms; i++)
{
names[i] = d.getParamName(i);
min[i] = d.getParamMin(i);
max[i] = d.getParamMax(i);
}
_parmSpace = BlauSpace.create(parms, names, min, max);
}
