public void TestSerializeParameters()
{
Parameters p = GetParameters();
SerialConfig config = new SerialConfig("testSerializeParameters", SerialConfig.SERIAL_TEST_DIR);
IPersistenceAPI api = Persistence.Get(config);
// 1. serialize
byte[] data = api.Write(p, "testSerializeParameters");
// 2. deserialize
Parameters serialized = api.Read <Parameters>(data);
Assert.IsTrue(p.Keys().Count == serialized.Keys().Count);
Assert.IsTrue(p.IsDeepEqual(serialized));
foreach (Parameters.KEY k in p.Keys())
{
DeepCompare(serialized.GetParameterByKey(k), p.GetParameterByKey(k));
}
// 3. reify from file
/////////////////////////////////////
// SHOW RETRIEVAL USING FILENAME //
/////////////////////////////////////
Parameters fromFile = api.Read <Parameters>("testSerializeParameters");
Assert.IsTrue(p.Keys().Count == fromFile.Keys().Count);
Assert.IsTrue(p.IsDeepEqual(fromFile));
foreach (Parameters.KEY k in p.Keys())
{
DeepCompare(fromFile.GetParameterByKey(k), p.GetParameterByKey(k));
}
}
public static IPersistenceAPI Get(SerialConfig config)
{
if (access == null)
{
access = new PersistenceAccess(config);
}
return(access);
}
public void TestSerializeAnomalyLikelihoodForUpdates()
{
Parameters @params = Parameters.Empty();
@params.SetParameterByKey(Parameters.KEY.ANOMALY_KEY_MODE, Anomaly.Mode.LIKELIHOOD);
AnomalyLikelihood an = (AnomalyLikelihood)Anomaly.Create(@params);
// Serialize the Anomaly Computer without errors
SerialConfig config = new SerialConfig("testSerializeAnomalyLikelihood", SerialConfig.SERIAL_TEST_DIR);
IPersistenceAPI api = Persistence.Get(config);
byte[] bytes = api.Write(an);
// Deserialize the Anomaly Computer and make sure its usable (same tests as AnomalyTest.java)
AnomalyLikelihood serializedAn = api.Read <AnomalyLikelihood>(bytes);
Assert.IsNotNull(serializedAn);
//----------------------------------------
// Step 1. Generate an initial estimate using fake distribution of anomaly scores.
List <Sample> data1 = AnomalyLikelihoodTest.GenerateSampleData(0.2, 0.2, 0.2, 0.2).Take(1000).ToList();
AnomalyLikelihoodMetrics metrics1 = serializedAn.EstimateAnomalyLikelihoods(data1, 5, 0);
//----------------------------------------
// Step 2. Generate some new data with a higher average anomaly
// score. Using the estimator from step 1, to compute likelihoods. Now we
// should see a lot more anomalies.
List <Sample> data2 = AnomalyLikelihoodTest.GenerateSampleData(0.6, 0.2, 0.2, 0.2).Take(300).ToList();
AnomalyLikelihoodMetrics metrics2 = serializedAn.UpdateAnomalyLikelihoods(data2, metrics1.GetParams());
// Serialize the Metrics too just to be sure everything can be serialized
SerialConfig metricsConfig = new SerialConfig("testSerializeMetrics", SerialConfig.SERIAL_TEST_DIR);
api = Persistence.Get(metricsConfig);
api.Write(metrics2);
// Deserialize the Metrics
AnomalyLikelihoodMetrics serializedMetrics = api.Read <AnomalyLikelihoodMetrics>();
Assert.IsNotNull(serializedMetrics);
Assert.AreEqual(serializedMetrics.GetLikelihoods().Length, data2.Count);
Assert.AreEqual(serializedMetrics.GetAvgRecordList().Count, data2.Count);
Assert.IsTrue(serializedAn.IsValidEstimatorParams(serializedMetrics.GetParams()));
// The new running total should be different
Assert.IsFalse(metrics1.GetAvgRecordList().Total == serializedMetrics.GetAvgRecordList().Total);
// We should have many more samples where likelihood is < 0.01, but not all
int conditionCount = ArrayUtils.Where(serializedMetrics.GetLikelihoods(), d => d < 0.1).Length;
Assert.IsTrue(conditionCount >= 25);
Assert.IsTrue(conditionCount <= 250);
}
public void TestSerializeCLAClassifier()
{
CLAClassifier classifier = new CLAClassifier(new int[] { 1 }, 0.1, 0.1, 0);
int recordNum = 0;
Map <String, Object> classification = new Map <string, object>();
classification.Add("bucketIdx", 4);
classification.Add("actValue", 34.7);
Classification <double> result = classifier.Compute <double>(recordNum, classification, new int[] { 1, 5, 9 }, true, true);
recordNum += 1;
classification.Add("bucketIdx", 5);
classification.Add("actValue", 41.7);
result = classifier.Compute <double>(recordNum, classification, new int[] { 0, 6, 9, 11 }, true, true);
recordNum += 1;
classification.Add("bucketIdx", 5);
classification.Add("actValue", 44.9);
result = classifier.Compute <double>(recordNum, classification, new int[] { 6, 9 }, true, true);
recordNum += 1;
classification.Add("bucketIdx", 4);
classification.Add("actValue", 42.9);
result = classifier.Compute <double>(recordNum, classification, new int[] { 1, 5, 9 }, true, true);
recordNum += 1;
// Serialize the Metrics too just to be sure everything can be serialized
SerialConfig config = new SerialConfig("testSerializeCLAClassifier", SerialConfig.SERIAL_TEST_DIR);
IPersistenceAPI api = Persistence.Get(config);
api.Write(classifier);
// Deserialize the Metrics
CLAClassifier serializedClassifier = api.Read <CLAClassifier>();
Assert.IsNotNull(serializedClassifier);
//Using the deserialized classifier, continue test
classification.Add("bucketIdx", 4);
classification.Add("actValue", 34.7);
result = serializedClassifier.Compute <double>(recordNum, classification, new int[] { 1, 5, 9 }, true, true);
recordNum += 1;
Assert.IsTrue(Arrays.AreEqual(new int[] { 1 }, result.StepSet()));
Assert.AreEqual(35.520000457763672, result.GetActualValue(4), 0.00001);
Assert.AreEqual(42.020000457763672, result.GetActualValue(5), 0.00001);
Assert.AreEqual(6, result.GetStatCount(1));
Assert.AreEqual(0.0, result.GetStat(1, 0), 0.00001);
Assert.AreEqual(0.0, result.GetStat(1, 1), 0.00001);
Assert.AreEqual(0.0, result.GetStat(1, 2), 0.00001);
Assert.AreEqual(0.0, result.GetStat(1, 3), 0.00001);
Assert.AreEqual(0.12300123, result.GetStat(1, 4), 0.00001);
Assert.AreEqual(0.87699877, result.GetStat(1, 5), 0.00001);
}
public void TestSerialization()
{
_classifier = new CLAClassifier(new[] { 1 }, 0.1, 0.1, 0);
int recordNum = 0;
Map <string, object> classification = new Map <string, object>();
classification.Add("bucketIdx", 4);
classification.Add("actValue", 34.7);
Classification <double> result = _classifier.Compute <double>(recordNum, classification, new[] { 1, 5, 9 }, true, true);
recordNum += 1;
classification.Add("bucketIdx", 5);
classification.Add("actValue", 41.7);
result = _classifier.Compute <double>(recordNum, classification, new[] { 0, 6, 9, 11 }, true, true);
recordNum += 1;
classification.Add("bucketIdx", 5);
classification.Add("actValue", 44.9);
result = _classifier.Compute <double>(recordNum, classification, new[] { 6, 9 }, true, true);
recordNum += 1;
classification.Add("bucketIdx", 4);
classification.Add("actValue", 42.9);
result = _classifier.Compute <double>(recordNum, classification, new[] { 1, 5, 9 }, true, true);
recordNum += 1;
// Configure serializer
SerialConfig config = new SerialConfig("testSerializerClassifier", SerialConfig.SERIAL_TEST_DIR);
IPersistenceAPI api = Persistence.Get(config);
// 1. Serialize
byte[] data = api.Write(_classifier, "testSerializeClassifier");
// 2. Deserialize
CLAClassifier serialized = api.Read <CLAClassifier>(data);
// Using the deserialized classifier, continue test
classification.Add("bucketIdx", 4);
classification.Add("actValue", 34.7);
result = serialized.Compute <double>(recordNum, classification, new[] { 1, 5, 9 }, true, true);
recordNum += 1;
Assert.IsTrue(Arrays.AreEqual(new[] { 1 }, result.StepSet()));
Assert.AreEqual(35.520000457763672, result.GetActualValue(4), 0.00001);
Assert.AreEqual(42.020000457763672, result.GetActualValue(5), 0.00001);
Assert.AreEqual(6, result.GetStatCount(1));
Assert.AreEqual(0.0, result.GetStat(1, 0), 0.00001);
Assert.AreEqual(0.0, result.GetStat(1, 1), 0.00001);
Assert.AreEqual(0.0, result.GetStat(1, 2), 0.00001);
Assert.AreEqual(0.0, result.GetStat(1, 3), 0.00001);
Assert.AreEqual(0.12300123, result.GetStat(1, 4), 0.00001);
Assert.AreEqual(0.87699877, result.GetStat(1, 5), 0.00001);
}
public void TestRegionSerialisation()
{
Net.Network.Network n = new Net.Network.Network("network", Parameters.Empty());
Region r = new Region("myRegion", n);
IPersistenceAPI pa = Persistence.Get(new SerialConfig(null, SerialConfig.SERIAL_TEST_DIR));
byte[] bytes = pa.Serializer().Serialize(r);
Region r2 = pa.Serializer().Deserialize <Region>(bytes);
Assert.AreEqual(r, r2);
}
public void TestHierarchicalNetwork()
{
Net.Network.Network network = GetLoadedHotGymHierarchy();
try
{
SerialConfig config = new SerialConfig("testSerializeHierarchy", SerialConfig.SERIAL_TEST_DIR);
IPersistenceAPI api = Persistence.Get(config);
api.Store(network);
}
catch (Exception e)
{
Console.WriteLine(e);
Assert.Fail();
}
}
public void TestSerializeConnections()
{
Parameters p = GetParameters();
Connections con = new Connections();
p.Apply(con);
TemporalMemory.Init(con);
SerialConfig config = new SerialConfig("testSerializeConnections", SerialConfig.SERIAL_TEST_DIR);
IPersistenceAPI api = Persistence.Get(config);
// 1. serialize
byte[] data = api.Write(con);
// 2. deserialize
Connections serialized = api.Read <Connections>(data);
Assert.IsTrue(con.IsDeepEqual(serialized));
serialized.PrintParameters();
int cellCount = con.GetCellsPerColumn();
for (int i = 0; i < con.GetNumColumns(); i++)
{
DeepCompare(con.GetColumn(i), serialized.GetColumn(i));
for (int j = 0; j < cellCount; j++)
{
Cell cell = serialized.GetCell(i * cellCount + j);
DeepCompare(con.GetCell(i * cellCount + j), cell);
}
}
// 3. reify from file
Connections fromFile = api.Read <Connections>(data);
Assert.IsTrue(con.IsDeepEqual(fromFile));
for (int i = 0; i < con.GetNumColumns(); i++)
{
DeepCompare(con.GetColumn(i), fromFile.GetColumn(i));
for (int j = 0; j < cellCount; j++)
{
Cell cell = fromFile.GetCell(i * cellCount + j);
DeepCompare(con.GetCell(i * cellCount + j), cell);
}
}
}
public void TestEnsurePathExists()
{
SerialConfig config = new SerialConfig("testEnsurePathExists", SerialConfig.SERIAL_TEST_DIR);
IPersistenceAPI persist = Persistence.Get();
persist.SetConfig(config);
try
{
((Persistence.PersistenceAccess)persist).EnsurePathExists(config);
}
catch (Exception e) { Assert.Fail(); }
FileInfo f1 = new FileInfo(Environment.CurrentDirectory + "\\" + config.GetFileDir() + "\\" + "testEnsurePathExists");
Assert.IsTrue(f1.Exists);
}
public void TestSerializeAnomalyLikelihood()
{
Parameters @params = Parameters.Empty();
@params.SetParameterByKey(Parameters.KEY.ANOMALY_KEY_MODE, Anomaly.Mode.LIKELIHOOD);
AnomalyLikelihood an = (AnomalyLikelihood)Anomaly.Create(@params);
// Serialize the Anomaly Computer without errors
SerialConfig config = new SerialConfig("testSerializeAnomalyLikelihood", SerialConfig.SERIAL_TEST_DIR);
IPersistenceAPI api = Persistence.Get(config);
byte[] bytes = api.Write(an);
// Deserialize the Anomaly Computer and make sure its usable (same tests as AnomalyTest.java)
Anomaly serializedAn = api.Read <Anomaly>(bytes);
Assert.IsNotNull(serializedAn);
}
public void TestSerializeAnomaly()
{
Parameters @params = Parameters.Empty();
@params.SetParameterByKey(Parameters.KEY.ANOMALY_KEY_MODE, Anomaly.Mode.PURE);
Anomaly anomalyComputer = Anomaly.Create(@params);
// Serialize the Anomaly Computer without errors
SerialConfig config = new SerialConfig("testSerializeAnomaly1", SerialConfig.SERIAL_TEST_DIR);
IPersistenceAPI api = Persistence.Get(config);
byte[] bytes = api.Write(anomalyComputer);
double score = anomalyComputer.Compute(new int[0], new int[0], 0, 0);
score = anomalyComputer.Compute(new int[0], new int[0], 0, 0);
Assert.AreEqual(0.0, score, 0);
score = anomalyComputer.Compute(new int[0], new int[] { 3, 5 }, 0, 0);
Assert.AreEqual(0.0, score, 0);
score = anomalyComputer.Compute(new int[] { 3, 5, 7 }, new int[] { 3, 5, 7 }, 0, 0);
Assert.AreEqual(0.0, score, 0);
score = anomalyComputer.Compute(new int[] { 2, 3, 6 }, new int[] { 3, 5, 7 }, 0, 0);
Assert.AreEqual(2.0 / 3.0, score, 0);
// Deserialize the Anomaly Computer and make sure its usable (same tests as AnomalyTest.java)
Anomaly serializedAnomalyComputer = api.Read <Anomaly>(bytes);
score = serializedAnomalyComputer.Compute(new int[0], new int[0], 0, 0);
Assert.AreEqual(0.0, score, 0);
score = serializedAnomalyComputer.Compute(new int[0], new int[] { 3, 5 }, 0, 0);
Assert.AreEqual(0.0, score, 0);
score = serializedAnomalyComputer.Compute(new int[] { 3, 5, 7 }, new int[] { 3, 5, 7 }, 0, 0);
Assert.AreEqual(0.0, score, 0);
score = serializedAnomalyComputer.Compute(new int[] { 2, 3, 6 }, new int[] { 3, 5, 7 }, 0, 0);
Assert.AreEqual(2.0 / 3.0, score, 0);
}
public void TestSerializeCumulativeAnomaly()
{
Parameters @params = Parameters.Empty();
@params.SetParameterByKey(Parameters.KEY.ANOMALY_KEY_MODE, Anomaly.Mode.PURE);
@params.SetParameterByKey(Parameters.KEY.ANOMALY_KEY_WINDOW_SIZE, 3);
@params.SetParameterByKey(Parameters.KEY.ANOMALY_KEY_USE_MOVING_AVG, true);
Anomaly anomalyComputer = Anomaly.Create(@params);
// Serialize the Anomaly Computer without errors
SerialConfig config = new SerialConfig("testSerializeCumulativeAnomaly", SerialConfig.SERIAL_TEST_DIR);
IPersistenceAPI api = Persistence.Get(config);
byte[] bytes = api.Write(anomalyComputer);
// Deserialize the Anomaly Computer and make sure its usable (same tests as AnomalyTest.java)
Anomaly serializedAnomalyComputer = api.Read <Anomaly>(bytes);
Assert.IsNotNull(serializedAnomalyComputer);
Object[] predicted =
{
new int[] { 1, 2, 6 }, new int[] { 1, 2, 6 }, new int[] { 1, 2, 6 },
new int[] { 1, 2, 6 }, new int[] { 1, 2, 6 }, new int[] { 1, 2, 6 },
new int[] { 1, 2, 6 }, new int[] { 1, 2, 6 }, new int[] { 1, 2, 6 }
};
Object[] actual =
{
new int[] { 1, 2, 6 }, new int[] { 1, 2, 6 }, new int[] { 1, 4, 6 },
new int[] { 10, 11, 6 }, new int[] { 10, 11, 12 }, new int[] { 10, 11, 12 },
new int[] { 10, 11, 12 }, new int[] { 1, 2, 6 }, new int[] { 1, 2, 6 }
};
double[] anomalyExpected = { 0.0, 0.0, 1.0 / 9.0, 3.0 / 9.0, 2.0 / 3.0, 8.0 / 9.0, 1.0, 2.0 / 3.0, 1.0 / 3.0 };
for (int i = 0; i < 9; i++)
{
double score = serializedAnomalyComputer.Compute((int[])actual[i], (int[])predicted[i], 0, 0);
Assert.AreEqual(anomalyExpected[i], score, 0.01);
}
}
public void TestSerializeObservableSensor()
{
PublisherSupplier supplier = PublisherSupplier.GetBuilder()
.AddHeader("dayOfWeek")
.AddHeader("darr")
.AddHeader("B").Build();
ObservableSensor <string[]> oSensor = new ObservableSensor <string[]>(
SensorParams.Create(SensorParams.Keys.Obs, new Object[] { "name", supplier }));
SerialConfig config = new SerialConfig("testSerializeObservableSensor", SerialConfig.SERIAL_TEST_DIR);
IPersistenceAPI api = Persistence.Get(config);
byte[] bytes = api.Write(oSensor);
ObservableSensor <string[]> serializedOSensor = api.Read <ObservableSensor <string[]> >(bytes);
bool b = serializedOSensor.IsDeepEqual(oSensor);
DeepCompare(serializedOSensor, oSensor);
Assert.IsTrue(b);
}
public void TestHTMSensor_HotGym()
{
Object[] n = { "some name", ResourceLocator.Path("rec-center-hourly-small.csv") };
HTMSensor <FileInfo> sensor = (HTMSensor <FileInfo>) Sensor <FileInfo> .Create(
FileSensor.Create, SensorParams.Create(SensorParams.Keys.Path, n));
sensor.InitEncoder(GetTestEncoderParams());
SerialConfig config = new SerialConfig("testHTMSensor_HotGym");
IPersistenceAPI api = Persistence.Get(config);
byte[] bytes = api.Write(sensor);
Assert.IsNotNull(bytes);
Assert.IsTrue(bytes.Length > 0);
HTMSensor <FileInfo> serializedSensor = api.Read <HTMSensor <FileInfo> >(bytes);
bool b = serializedSensor.IsDeepEqual(sensor);
DeepCompare(serializedSensor, sensor);
Assert.IsTrue(b);
}
public void TestHTMSensor_DaysOfWeek()
{
Object[] n = { "some name", ResourceLocator.Path("days-of-week.csv") };
HTMSensor <FileInfo> sensor = (HTMSensor <FileInfo>) Sensor <FileInfo> .Create(
FileSensor.Create, SensorParams.Create(SensorParams.Keys.Path, n));
Parameters p = GetParameters();
p = p.Union(NetworkTestHarness.GetDayDemoTestEncoderParams());
sensor.InitEncoder(p);
SerialConfig config = new SerialConfig("testHTMSensor_DaysOfWeek", SerialConfig.SERIAL_TEST_DIR);
IPersistenceAPI api = Persistence.Get(config);
byte[] bytes = api.Write(sensor);
HTMSensor <FileInfo> serializedSensor = api.Read <HTMSensor <FileInfo> >(bytes);
bool b = serializedSensor.IsDeepEqual(sensor);
DeepCompare(serializedSensor, sensor);
Assert.IsTrue(b);
}
public void TestSearchAndListPreviousCheckPoint()
{
Parameters p = NetworkTestHarness.GetParameters();
Net.Network.Network network = Net.Network.Network.Create("test network", p)
.Add(Net.Network.Network.CreateRegion("r1")
.Add(Net.Network.Network.CreateLayer("1", p)
.Add(Anomaly.Create())
.Add(new TemporalMemory())
.Add(new SpatialPooler())));
IPersistenceAPI pa = Persistence.Get(new SerialConfig(null, SerialConfig.SERIAL_TEST_DIR));
ArrayUtils.Range(0, 5).ToList().ForEach(i =>
((Persistence.PersistenceAccess)pa).GetCheckPointFunction <Net.Network.Network>(network)(network));
Dictionary <string, DateTime> checkPointFiles = pa.ListCheckPointFiles();
Assert.IsTrue(checkPointFiles.Count > 4);
Assert.AreEqual(checkPointFiles.ElementAt(checkPointFiles.Count - 2).Key,
pa.GetPreviousCheckPoint(checkPointFiles.ElementAt(checkPointFiles.Count - 1)));
}
public void TestThreadedPublisher_TemporalMemoryNetwork()
{
Net.Network.Network network = CreateAndRunTestTemporalMemoryNetwork();
ILayer l = network.Lookup("r1").Lookup("1");
Connections cn = l.GetConnections();
SerialConfig config = new SerialConfig("testThreadedPublisher_TemporalMemoryNetwork", SerialConfig.SERIAL_TEST_DIR);
IPersistenceAPI api = Persistence.Get(config);
byte[] bytes = api.Write(cn);
Connections serializedConnections = api.Read <Connections>(bytes);
Net.Network.Network network2 = CreateAndRunTestTemporalMemoryNetwork();
ILayer l2 = network2.Lookup("r1").Lookup("1");
Connections newCons = l2.GetConnections();
newCons.ShouldDeepEqual(serializedConnections);
bool b = newCons.IsDeepEqual(serializedConnections);
DeepCompare(newCons, serializedConnections);
Assert.IsTrue(b);
}
public void TestThreadedPublisher_SpatialPoolerNetwork()
{
Net.Network.Network network = CreateAndRunTestSpatialPoolerNetwork(0, 6);
ILayer l = network.Lookup("r1").Lookup("1");
Connections cn = l.GetConnections();
SerialConfig config = new SerialConfig("testThreadedPublisher_SpatialPoolerNetwork", SerialConfig.SERIAL_TEST_DIR);
IPersistenceAPI api = Persistence.Get(config);
byte[] bytes = api.Write(cn);
//Serialize above Connections for comparison with same run but unserialized below...
Connections serializedConnections = api.Read <Connections>(bytes);
Net.Network.Network network2 = CreateAndRunTestSpatialPoolerNetwork(0, 6);
ILayer l2 = network2.Lookup("r1").Lookup("1");
Connections newCons = l2.GetConnections();
//Compare the two Connections (both serialized and regular runs) - should be equal
bool b = newCons.IsDeepEqual(serializedConnections);
DeepCompare(newCons, serializedConnections);
Assert.IsTrue(b);
}
public void TestSerializedUnStartedNetworkRuns()
{
const int NUM_CYCLES = 600;
const int INPUT_GROUP_COUNT = 7; // Days of Week
Net.Network.Network network = GetLoadedDayOfWeekNetwork();
SerialConfig config = new SerialConfig("testSerializedUnStartedNetworkRuns", SerialConfig.SERIAL_TEST_DIR);
IPersistenceAPI api = Persistence.Get(config);
api.Store(network);
//Serialize above Connections for comparison with same run but unserialized below...
Net.Network.Network serializedNetwork = api.Load();
Assert.AreEqual(serializedNetwork, network);
DeepCompare(network, serializedNetwork);
int cellsPerCol = (int)serializedNetwork.GetParameters().GetParameterByKey(Parameters.KEY.CELLS_PER_COLUMN);
serializedNetwork.Observe().Subscribe(
inf => { dayOfWeekPrintout(inf, cellsPerCol); },
e => { Console.WriteLine(e); },
() => { });
// new Observer<Inference>() {
// @Override public void onCompleted() { }
// @Override public void onError(Throwable e) { e.printStackTrace(); }
// @Override
// public void onNext(Inference inf)
// {
// /** see {@link #createDayOfWeekInferencePrintout()} */
// dayOfWeekPrintout.apply(inf, cellsPerCol);
// }
//});
Publisher pub = serializedNetwork.GetPublisher();
serializedNetwork.Start();
int cycleCount = 0;
for (; cycleCount < NUM_CYCLES; cycleCount++)
{
for (double j = 0; j < INPUT_GROUP_COUNT; j++)
{
pub.OnNext("" + j);
}
serializedNetwork.Reset();
if (cycleCount == 284)
{
break;
}
}
pub.OnComplete();
try
{
Region r1 = serializedNetwork.Lookup("r1");
r1.Lookup("1").GetLayerThread().Wait();
}
catch (Exception e)
{
Console.WriteLine(e);
Assert.Fail();
}
}
public void TestSerializeLayer()
{
Parameters p = NetworkTestHarness.GetParameters().Copy();
p.SetParameterByKey(Parameters.KEY.RANDOM, new MersenneTwister(42));
Map <String, Map <String, Object> > settings = NetworkTestHarness.SetupMap(
null, // map
8, // n
0, // w
0, // min
0, // max
0, // radius
0, // resolution
null, // periodic
null, // clip
true, // forced
"dayOfWeek", // fieldName
"darr", // fieldType (dense array as opposed to sparse array or "sarr")
"SDRPassThroughEncoder"); // encoderType
p.SetParameterByKey(Parameters.KEY.FIELD_ENCODING_MAP, settings);
Sensor <ObservableSensor <string[]> > sensor = Sensor <ObservableSensor <string[]> > .Create(
ObservableSensor <string[]> .Create, SensorParams.Create(SensorParams.Keys.Obs, new Object[] { "name",
PublisherSupplier.GetBuilder()
.AddHeader("dayOfWeek")
.AddHeader("darr")
.AddHeader("B").Build() }));
ILayer layer = Net.Network.Network.CreateLayer("1", p)
.AlterParameter(Parameters.KEY.AUTO_CLASSIFY, true)
.Add(new SpatialPooler())
.Add(sensor);
// Observer obs = new Observer<IInference>() {
// @Override public void onCompleted() { }
// @Override public void onError(Throwable e) { e.printStackTrace(); }
// @Override
// public void onNext(Inference spatialPoolerOutput)
// {
// System.out.println("in onNext()");
// }
//};
var obs = Observer.Create <IInference>(
spatialPoolerOutput => { Console.WriteLine("in onNext()"); },
e => Console.WriteLine(e),
() => { });
layer.Subscribe(obs);
layer.Close();
SerialConfig config = new SerialConfig("testSerializeLayer", SerialConfig.SERIAL_TEST_DIR);
IPersistenceAPI api = Persistence.Get(config);
api.Write(layer);
//Serialize above Connections for comparison with same run but unserialized below...
ILayer serializedLayer = api.Read <ILayer>();
Assert.AreEqual(serializedLayer, layer);
DeepCompare(layer, serializedLayer);
// Now change one attribute and see that they are not equal
serializedLayer.ResetRecordNum();
Assert.AreNotEqual(serializedLayer, layer);
}