public void TestResetMethod() { Parameters p = NetworkTestHarness.GetParameters(); Region r1 = Net.Network.Network.CreateRegion("r1"); r1.Add(Net.Network.Network.CreateLayer <IInference>("l1", p).Add(new TemporalMemory())); try { r1.Reset(); Assert.IsTrue(r1.Lookup("l1").HasTemporalMemory()); } catch (Exception e) { Assert.Fail(e.ToString()); } r1 = Net.Network.Network.CreateRegion("r1"); r1.Add(Net.Network.Network.CreateLayer <IInference>("l1", p).Add(new SpatialPooler())); try { r1.Reset(); Assert.IsFalse(r1.Lookup("l1").HasTemporalMemory()); } catch (Exception e) { Assert.Fail(e.ToString()); } }
public void TestAdd() { Parameters p = NetworkTestHarness.GetParameters(); p = p.Union(NetworkTestHarness.GetDayDemoTestEncoderParams()); p.SetParameterByKey(Parameters.KEY.RANDOM, new MersenneTwister(42)); Net.Network.Network n = Net.Network.Network.Create("test network", p) .Add(Net.Network.Network.CreateRegion("r1") .Add(Net.Network.Network.CreateLayer <IInference>("4", p) .Add((MultiEncoder)MultiEncoder.GetBuilder().Name("").Build()))); Region r1 = n.Lookup("r1"); ILayer layer4 = r1.Lookup("4"); Assert.IsNotNull(layer4); Assert.AreEqual("r1:4", layer4.GetName()); try { r1.Add(Net.Network.Network.CreateLayer <IInference>("4", p)); Assert.Fail(); } catch (Exception e) { Assert.IsInstanceOfType(e, typeof(InvalidOperationException)); Assert.AreEqual("A Layer with the name: 4 has already been added to this Region.", e.Message); } }
public void TestEncoderPassesUpToTopLayer() { Parameters p = NetworkTestHarness.GetParameters(); p = p.Union(NetworkTestHarness.GetDayDemoTestEncoderParams()); p.SetParameterByKey(Parameters.KEY.RANDOM, new MersenneTwister(42)); p.SetParameterByKey(Parameters.KEY.ANOMALY_KEY_MODE, Anomaly.Mode.PURE); Net.Network.Network n = Net.Network.Network.Create("test network", p) .Add(Net.Network.Network.CreateRegion("r1") .Add(Net.Network.Network.CreateLayer <IInference>("1", p) .AlterParameter(Parameters.KEY.AUTO_CLASSIFY, true)) .Add(Net.Network.Network.CreateLayer <IInference>("2", p) .Add(Anomaly.Create(p))) .Add(Net.Network.Network.CreateLayer <IInference>("3", p) .Add(new TemporalMemory())) .Add(Net.Network.Network.CreateLayer <IInference>("4", p) .Add(new SpatialPooler()) .Add((MultiEncoder)MultiEncoder.GetBuilder().Name("").Build()))); Region r1 = n.Lookup("r1"); r1.Connect("1", "2").Connect("2", "3").Connect("3", "4"); Assert.IsNotNull(r1.Lookup("1").GetEncoder()); }
private Net.Network.Network GetLoadedHotGymHierarchy() { Parameters p = NetworkTestHarness.GetParameters(); p = p.Union(NetworkTestHarness.GetNetworkDemoTestEncoderParams()); p.SetParameterByKey(Parameters.KEY.RANDOM, new MersenneTwister(42)); Net.Network.Network network = Net.Network.Network.Create("test network", p) .Add(Net.Network.Network.CreateRegion("r1") .Add(Net.Network.Network.CreateLayer("2", p) .Add(Anomaly.Create()) .Add(new TemporalMemory())) .Add(Net.Network.Network.CreateLayer("3", p) .Add(new SpatialPooler())) .Connect("2", "3")) .Add(Net.Network.Network.CreateRegion("r2") .Add(Net.Network.Network.CreateLayer("1", p) .AlterParameter(Parameters.KEY.AUTO_CLASSIFY, true) .Add(new TemporalMemory()) .Add(new SpatialPooler()) .Add(FileSensor.Create(Net.Network.Sensor.FileSensor.Create, SensorParams.Create( SensorParams.Keys.Path, "", ResourceLocator.Path("rec-center-hourly.csv")))))) .Connect("r1", "r2"); return(network); }
private Net.Network.Network GetLoadedDayOfWeekNetwork() { Parameters p = NetworkTestHarness.GetParameters().Copy(); p = p.Union(NetworkTestHarness.GetDayDemoTestEncoderParams()); p.SetParameterByKey(Parameters.KEY.RANDOM, new XorshiftRandom(42)); Sensor <ObservableSensor <string[]> > sensor = Sensor <ObservableSensor <string[]> > .Create( ObservableSensor <string[]> .Create, SensorParams.Create(SensorParams.Keys.Obs, new object[] { "name", PublisherSupplier.GetBuilder() .AddHeader("dayOfWeek") .AddHeader("number") .AddHeader("B").Build() })); Net.Network.Network network = Net.Network.Network.Create("test network", p) .Add(Net.Network.Network.CreateRegion("r1") .Add(Net.Network.Network.CreateLayer("1", p) .AlterParameter(Parameters.KEY.AUTO_CLASSIFY, true) .Add(Anomaly.Create()) .Add(new TemporalMemory()) .Add(new SpatialPooler()) .Add(sensor))); return(network); }
public void TestIsLearn() { Parameters p = NetworkTestHarness.GetParameters().Copy(); p = p.Union(NetworkTestHarness.GetDayDemoTestEncoderParams()); p.SetParameterByKey(Parameters.KEY.COLUMN_DIMENSIONS, new int[] { 30 }); p.SetParameterByKey(Parameters.KEY.SYN_PERM_INACTIVE_DEC, 0.1); p.SetParameterByKey(Parameters.KEY.SYN_PERM_ACTIVE_INC, 0.1); p.SetParameterByKey(Parameters.KEY.SYN_PERM_TRIM_THRESHOLD, 0.05); p.SetParameterByKey(Parameters.KEY.SYN_PERM_CONNECTED, 0.4); p.SetParameterByKey(Parameters.KEY.MAX_BOOST, 10.0); p.SetParameterByKey(Parameters.KEY.DUTY_CYCLE_PERIOD, 7); p.SetParameterByKey(Parameters.KEY.RANDOM, new MersenneTwister(42)); p.SetParameterByKey(Parameters.KEY.ANOMALY_KEY_MODE, Anomaly.Mode.PURE); Net.Network.Network n = Net.Network.Network.Create("test network", p) .Add(Net.Network.Network.CreateRegion("r1") .Add(Net.Network.Network.CreateLayer <IInference>("1", p) .AlterParameter(Parameters.KEY.AUTO_CLASSIFY, true)) .Add(Net.Network.Network.CreateLayer <IInference>("2", p) .Add(Anomaly.Create(p))) .Add(Net.Network.Network.CreateLayer <IInference>("3", p) .Add(new TemporalMemory())) .Add(Net.Network.Network.CreateLayer <IInference>("4", p) .Add(new SpatialPooler()) .Add((MultiEncoder)MultiEncoder.GetBuilder().Name("").Build())) .Connect("1", "2") .Connect("2", "3") .Connect("3", "4")); n.Lookup("r1").Close(); n.SetLearn(false); Assert.IsFalse(n.IsLearn()); Region r1 = n.Lookup("r1"); Assert.IsFalse(n.IsLearn()); ILayer layer = r1.GetTail(); Assert.IsFalse(layer.SetIsLearn()); while (layer.GetNext() != null) { layer = layer.GetNext(); Assert.IsFalse(layer.SetIsLearn()); } }
public void TestInputDimensionsAutomaticallyInferredFromEncoderWidth() { Parameters p = NetworkTestHarness.GetParameters(); p = p.Union(NetworkTestHarness.GetDayDemoTestEncoderParams()); p.SetParameterByKey(Parameters.KEY.RANDOM, new MersenneTwister(42)); // Purposefully set this to be wrong p.SetParameterByKey(Parameters.KEY.INPUT_DIMENSIONS, new int[] { 40, 40 }); Net.Network.Network.Create("test network", p) .Add(Net.Network.Network.CreateRegion("r1") .Add(Net.Network.Network.CreateLayer <IInference>("4", p) .Add((MultiEncoder)MultiEncoder.GetBuilder().Name("").Build())) .Close()); // Should correct the above ( {40,40} ) to have only one dimension whose width is 8 ( {8} ) Assert.IsTrue(Arrays.AreEqual(new int[] { 8 }, (int[])p.GetParameterByKey(Parameters.KEY.INPUT_DIMENSIONS))); }
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 Test2LayerAssemblyWithSensor() { Parameters p = NetworkTestHarness.GetParameters(); p = p.Union(NetworkTestHarness.GetDayDemoTestEncoderParams()); p.SetParameterByKey(Parameters.KEY.RANDOM, new MersenneTwister(42)); Net.Network.Network n = Net.Network.Network.Create("test network", p) .Add(Net.Network.Network.CreateRegion("r1") .Add(Net.Network.Network.CreateLayer <IInference>("2/3", p) .AlterParameter(Parameters.KEY.AUTO_CLASSIFY, true) .Add(new TemporalMemory())) .Add(Net.Network.Network.CreateLayer <IInference>("4", p) .Add(Sensor <FileSensor> .Create(FileSensor.Create, SensorParams.Create( SensorParams.Keys.Path, "", ResourceLocator.Path(typeof(Resources), "days-of-week.Csv")))) .Add(new SpatialPooler())) .Connect("2/3", "4")); int[][] inputs = new int[7][]; inputs[0] = new[] { 1, 1, 0, 0, 0, 0, 0, 1 }; inputs[1] = new[] { 1, 1, 1, 0, 0, 0, 0, 0 }; inputs[2] = new[] { 0, 1, 1, 1, 0, 0, 0, 0 }; inputs[3] = new[] { 0, 0, 1, 1, 1, 0, 0, 0 }; inputs[4] = new[] { 0, 0, 0, 1, 1, 1, 0, 0 }; inputs[5] = new[] { 0, 0, 0, 0, 1, 1, 1, 0 }; inputs[6] = new[] { 0, 0, 0, 0, 0, 1, 1, 1 }; Region r1 = n.Lookup("r1"); // Observe the top layer r1.Lookup("4").Observe().Subscribe( // next i => { Console.WriteLine("onNext() called (4)"); Assert.IsTrue(Arrays.AreEqual(inputs[idx0++], i.GetEncoding())); }, //error e => { Console.WriteLine(e); }, //completed () => { Console.WriteLine("onCompleted() called (4)"); } ); //r1.Lookup("4").Observe().Subscribe(new Subscriber<Inference>() //{ // public void onCompleted() { } // public void onError(Throwable e) { e.printStackTrace(); } // public void onNext(Inference i) // { // Assert.IsTrue(Arrays.equals(inputs[idx0++], i.GetEncoding())); // } //}); // Observe the bottom layer r1.Lookup("2/3").Observe().Subscribe( // next i => { Console.WriteLine("onNext() called (2/3)"); Assert.IsTrue(Arrays.AreEqual(inputs[idx1++], i.GetEncoding())); }, //error e => { Console.WriteLine(e); }, //completed () => { Console.WriteLine("onCompleted() called (2/3)"); } ); //r1.Lookup("2/3").Observe().Subscribe(new Subscriber<Inference>() { // public void onCompleted() { } // public void onError(Throwable e) { e.printStackTrace(); } // public void onNext(Inference i) // { // Assert.IsTrue(Arrays.equals(inputs[idx1++], i.GetEncoding())); // } //}); // Observe the Region output r1.Observe().Subscribe( // next i => { Console.WriteLine("onNext() called (out)"); Assert.IsTrue(Arrays.AreEqual(inputs[idx2++], i.GetEncoding())); }, //error e => { Console.WriteLine(e); }, //completed () => { Console.WriteLine("onCompleted() called (out)"); } ); //r1.Observe().Subscribe(new Subscriber<Inference>() { // public void onCompleted() { } // public void onError(Throwable e) { e.printStackTrace(); } // public void onNext(Inference i) // { // Assert.IsTrue(Arrays.equals(inputs[idx2++], i.GetEncoding())); // } //}); r1.Start(); try { r1.Lookup("4").GetLayerThread().Wait(); } catch (Exception e) { Console.WriteLine(e); } Assert.AreEqual(7, idx0); Assert.AreEqual(7, idx1); Assert.AreEqual(7, idx2); }
public void TestMultiLayerAssemblyNoSensor() { Parameters p = NetworkTestHarness.GetParameters().Copy(); p = p.Union(NetworkTestHarness.GetDayDemoTestEncoderParams()); p.SetParameterByKey(Parameters.KEY.COLUMN_DIMENSIONS, new int[] { 30 }); p.SetParameterByKey(Parameters.KEY.SYN_PERM_INACTIVE_DEC, 0.1); p.SetParameterByKey(Parameters.KEY.SYN_PERM_ACTIVE_INC, 0.1); p.SetParameterByKey(Parameters.KEY.SYN_PERM_TRIM_THRESHOLD, 0.05); p.SetParameterByKey(Parameters.KEY.SYN_PERM_CONNECTED, 0.4); p.SetParameterByKey(Parameters.KEY.MAX_BOOST, 10.0); p.SetParameterByKey(Parameters.KEY.DUTY_CYCLE_PERIOD, 7); p.SetParameterByKey(Parameters.KEY.RANDOM, new MersenneTwister(42)); p.SetParameterByKey(Parameters.KEY.ANOMALY_KEY_MODE, Anomaly.Mode.PURE); Net.Network.Network n = Net.Network.Network.Create("test network", p) .Add(Net.Network.Network.CreateRegion("r1") .Add(Net.Network.Network.CreateLayer <IInference>("1", p) .AlterParameter(Parameters.KEY.AUTO_CLASSIFY, true)) .Add(Net.Network.Network.CreateLayer <IInference>("2", p) .Add(Anomaly.Create(p))) .Add(Net.Network.Network.CreateLayer <IInference>("3", p) .Add(new TemporalMemory())) .Add(Net.Network.Network.CreateLayer <IInference>("4", p) .Add(new SpatialPooler()) .Add((MultiEncoder)MultiEncoder.GetBuilder().Name("").Build())) .Connect("1", "2") .Connect("2", "3") .Connect("3", "4")); Region r1 = n.Lookup("r1"); r1.Lookup("3").Using(r1.Lookup("4").GetConnections()); // How to share Connections object between Layers //r1.Observe().Subscribe(new Subscriber<Inference>() //{ // public void onCompleted() { } // public void onError(Throwable e) { e.printStackTrace(); } // public void onNext(Inference i) // { // // UNCOMMENT TO VIEW STABILIZATION OF PREDICTED FIELDS // System.Out.println("Day: " + r1.GetInput() + " - predictive cells: " + i.GetPreviousPredictiveCells() + // " - " + Arrays.toString(i.GetFeedForwardSparseActives()) + " - " + // ((int)Math.Rint(((Number)i.GetClassification("dayOfWeek").GetMostProbableValue(1)).doubleValue()))); // } //}); const int NUM_CYCLES = 400; const int INPUT_GROUP_COUNT = 7; // Days of Week Map <String, Object> multiInput = new Map <string, object>(); for (int i = 0; i < NUM_CYCLES; i++) { for (double j = 0; j < INPUT_GROUP_COUNT; j++) { multiInput.Add("dayOfWeek", j); r1.Compute(multiInput); } r1.Reset(); } r1.SetLearn(false); r1.Reset(); // Test that we get proper output after prediction stabilization //r1.Observe().Subscribe(new Subscriber<Inference>() //{ // public void onCompleted() { } // public void onError(Throwable e) { e.printStackTrace(); } // public void onNext(Inference i) // { // int nextDay = ((int)Math.Rint(((Number)i.GetClassification("dayOfWeek").GetMostProbableValue(1)).doubleValue())); // Assert.AreEqual(6, nextDay); // } //}); multiInput.Add("dayOfWeek", 5.0); r1.Compute(multiInput); }
public void TestHalt() { Parameters p = NetworkTestHarness.GetParameters(); p = p.Union(NetworkTestHarness.GetDayDemoTestEncoderParams()); p.SetParameterByKey(Parameters.KEY.RANDOM, new MersenneTwister(42)); p.SetParameterByKey(Parameters.KEY.ANOMALY_KEY_MODE, Anomaly.Mode.PURE); Net.Network.Network n = Net.Network.Network.Create("test network", p) .Add(Net.Network.Network.CreateRegion("r1") .Add(Net.Network.Network.CreateLayer <IInference>("1", p) .AlterParameter(Parameters.KEY.AUTO_CLASSIFY, true)) .Add(Net.Network.Network.CreateLayer <IInference>("2", p) .Add(Anomaly.Create(p))) .Add(Net.Network.Network.CreateLayer <IInference>("3", p) .Add(new TemporalMemory())) .Add(Net.Network.Network.CreateLayer <IInference>("4", p) .Add(Sensor <FileSensor> .Create(FileSensor.Create, SensorParams.Create( SensorParams.Keys.Path, "", ResourceLocator.Path(typeof(Resources), "days-of-week.csv")))) .Add(new SpatialPooler())) .Connect("1", "2") .Connect("2", "3") .Connect("3", "4")); Region r1 = n.Lookup("r1"); int seq = 0; r1.Observe().Subscribe( // next i => { if (seq == 2) { isHalted = true; } seq++; }, //error e => { Console.WriteLine(e); }, //completed () => { Console.WriteLine("onCompleted() called"); } ); //r1.Observe().Subscribe(new Subscriber<Inference>() { // int seq = 0; // public void onCompleted() // { // // System.Out.println("onCompleted() called"); // } // public void onError(Throwable e) { e.printStackTrace(); } // public void onNext(Inference i) // { // if (seq == 2) // { // isHalted = true; // } // seq++; // // System.Out.println("output: " + i.GetSDR()); // } //}); new Thread(() => { while (!isHalted) { try { Thread.Sleep(1); } catch (Exception e) { Console.WriteLine(e); } } r1.Halt(); }).Start(); // (new Thread() // { // public void run() // { // while (!isHalted) // { // try { Thread.Sleep(1); } catch (Exception e) { e.printStackTrace(); } // } // r1.Halt(); // } //}).Start(); r1.Start(); try { r1.Lookup("4").GetLayerThread().Wait(); } catch (Exception e) { Console.WriteLine(e); } }
private Net.Network.Network CreateAndRunTestSpatialPoolerNetwork(int start, int runTo) { Publisher manual = Publisher.GetBuilder() .AddHeader("dayOfWeek") .AddHeader("darr") .AddHeader("B") .Build(); Sensor <ObservableSensor <string[]> > sensor = Sensor <ObservableSensor <String[]> > .Create( ObservableSensor <string[]> .Create, SensorParams.Create(SensorParams.Keys.Obs, new Object[] { "name", manual })); Parameters p = NetworkTestHarness.GetParameters().Copy(); p.SetParameterByKey(Parameters.KEY.RANDOM, new XorshiftRandom(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); 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(new SpatialPooler()) .Add(sensor))); network.Start(); int[][] inputs = new int[7][]; inputs[0] = new int[] { 1, 1, 0, 0, 0, 0, 0, 1 }; inputs[1] = new int[] { 1, 1, 1, 0, 0, 0, 0, 0 }; inputs[2] = new int[] { 0, 1, 1, 1, 0, 0, 0, 0 }; inputs[3] = new int[] { 0, 0, 1, 1, 1, 0, 0, 0 }; inputs[4] = new int[] { 0, 0, 0, 1, 1, 1, 0, 0 }; inputs[5] = new int[] { 0, 0, 0, 0, 1, 1, 1, 0 }; inputs[6] = new int[] { 0, 0, 0, 0, 0, 1, 1, 1 }; int[] expected0 = new int[] { 0, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0 }; int[] expected1 = new int[] { 0, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1 }; int[] expected2 = new int[] { 1, 1, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1 }; int[] expected3 = new int[] { 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0 }; int[] expected4 = new int[] { 1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0 }; int[] expected5 = new int[] { 1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0 }; int[] expected6 = new int[] { 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1 }; int[][] expecteds = new int[][] { expected0, expected1, expected2, expected3, expected4, expected5, expected6 }; //TestObserver<Inference> tester; int test = 0; network.Observe().Subscribe( spatialPoolerOutput => { Console.WriteLine(test + " E: " + Arrays.ToString(expecteds[test]) + " -- " + "A: " + Arrays.ToString(spatialPoolerOutput.GetSdr())); Assert.IsTrue(Arrays.AreEqual(expecteds[test], spatialPoolerOutput.GetSdr())); test++; }, e => { Console.WriteLine(e); }, () => { }); // Now push some fake data through so that "onNext" is called above for (int i = start; i <= runTo; i++) { manual.OnNext(Arrays.ToString(inputs[i])); } manual.OnComplete(); try { network.Lookup("r1").Lookup("1").GetLayerThread().Wait(); } catch (Exception e) { Console.WriteLine(e); } //checkObserver(tester); return(network); }
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); }