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LukasMolzbergerLukasMolzberger
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Added test cases
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‎core/src/test/java/network/aika/activations/AbstractActivationTest.java‎

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package network.aika.activations;
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import network.aika.Document;
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import network.aika.Model;
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import network.aika.type.TypeRegistry;
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import network.aika.neurons.Neuron;
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import network.aika.typedefs.NodeDefinition;
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import org.junit.jupiter.api.BeforeEach;
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import static network.aika.neurons.RefType.NEURON_EXTERNAL;
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import static org.mockito.Mockito.mock;
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public abstract class AbstractActivationTest {
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TypeRegistry typeRegistry;
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NodeDefinition nodeDef;
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Model model;
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Neuron neuron;
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Document doc;
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@BeforeEach
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public void init() {
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typeRegistry = mock(TypeRegistry.class);
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nodeDef = new NodeDefinition(typeRegistry, "test")
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.setClazz(ConjunctiveActivation.class, Neuron.class);
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doc = mock(Document.class);
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model = mock(Model.class);
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neuron = nodeDef.neuron.instantiate(model);
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}
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}

‎core/src/test/java/network/aika/activations/ActivationTest.java‎

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package network.aika.activations;
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import network.aika.Document;
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import network.aika.bindingsignal.BindingSignal;
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import network.aika.neurons.Neuron;
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import org.junit.jupiter.api.Test;
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import org.junit.jupiter.api.extension.ExtendWith;
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import org.mockito.junit.jupiter.MockitoExtension;
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import java.util.Map;
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import static network.aika.activations.TestBSTypes.A;
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import static network.aika.activations.TestBSTypes.B;
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import static org.junit.jupiter.api.Assertions.*;
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import static org.mockito.Mockito.mock;
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@ExtendWith(MockitoExtension.class)
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public class ActivationTest extends AbstractActivationTest {
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@Test
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public void testHasConflictingBindingSignals() {
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Document doc = mock(Document.class);
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Neuron n = mock(Neuron.class);
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BindingSignal bs0 = new BindingSignal(0, doc);
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BindingSignal bs1 = new BindingSignal(1, doc);
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Activation act = new ConjunctiveActivation(
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null,
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null,
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1,
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n,
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doc,
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Map.of(A, bs0)
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);
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assertFalse(
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act.hasConflictingBindingSignals(
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Map.of(A, bs0)
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)
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);
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assertFalse(
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act.hasConflictingBindingSignals(
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Map.of(
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A, bs0,
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B, bs1
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)
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)
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);
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assertTrue(
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act.hasConflictingBindingSignals(
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Map.of(
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A, bs1,
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B, bs0
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)
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)
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);
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}
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@Test
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public void testHasNewBindingSignals() {
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Document doc = mock(Document.class);
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Neuron n = mock(Neuron.class);
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BindingSignal bs0 = new BindingSignal(0, doc);
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BindingSignal bs1 = new BindingSignal(1, doc);
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Activation act = new ConjunctiveActivation(
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null,
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null,
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1,
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n,
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doc,
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Map.of(A, bs0)
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);
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assertTrue(
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act.hasNewBindingSignals(
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Map.of(
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A, bs0,
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B, bs1
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)
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)
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);
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assertFalse(
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act.hasNewBindingSignals(
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Map.of(A, bs0)
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)
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);
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}
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@Test
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public void testBranch() {
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BindingSignal bs0 = new BindingSignal(0, doc);
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BindingSignal bs1 = new BindingSignal(1, doc);
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Activation parentAct = new ConjunctiveActivation(
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null,
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null,
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1,
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neuron,
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doc,
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Map.of(A, bs0)
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);
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Activation childAct = parentAct.branch(
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Map.of(B, bs1)
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);
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assertEquals(parentAct, childAct.getParent());
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assertEquals(1, childAct.getBindingSignals().size());
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assertEquals(bs1, childAct.getBindingSignal(B));
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}
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@Test
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public void testCollectLinkingTargets() {
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}
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@Test
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public void testLinkOutgoing() {
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}
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@Test
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public void testPropagate() {
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}
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}

‎core/src/test/java/network/aika/activations/ConjunctiveActivationTest.java‎

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package network.aika.activations;
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import network.aika.bindingsignal.BindingSignal;
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import network.aika.neurons.ConjunctiveSynapse;
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import network.aika.neurons.Neuron;
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import network.aika.typedefs.EdgeDefinition;
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import network.aika.typedefs.NodeDefinition;
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import network.aika.typedefs.SynapseDefinition;
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import org.junit.jupiter.api.Assertions;
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import org.junit.jupiter.api.BeforeEach;
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import org.junit.jupiter.api.Test;
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import org.junit.jupiter.api.extension.ExtendWith;
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import org.mockito.junit.jupiter.MockitoExtension;
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import java.util.Map;
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import static network.aika.activations.TestBSTypes.A;
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import static network.aika.activations.TestBSTypes.B;
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import static network.aika.bindingsignal.Transition.of;
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import static network.aika.neurons.RefType.NEURON_EXTERNAL;
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@ExtendWith(MockitoExtension.class)
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public class ConjunctiveActivationTest extends AbstractActivationTest {
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Neuron inputNeuron;
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ConjunctiveSynapse synapse;
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@BeforeEach
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@Override
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public void init() {
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super.init();
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NodeDefinition inputNodeDef = new NodeDefinition(typeRegistry, "input")
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.setClazz(ConjunctiveActivation.class, Neuron.class);
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EdgeDefinition firstInputEdgeDef = new EdgeDefinition(typeRegistry, "test")
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.setClazz(Link.class, ConjunctiveSynapse.class)
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.setInput(inputNodeDef)
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.setOutput(nodeDef);
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SynapseDefinition synapseDefinition = firstInputEdgeDef.synapse
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.setTransition(of(A, B));
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inputNeuron = inputNodeDef.neuron.instantiate(model);
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synapse = (ConjunctiveSynapse) synapseDefinition.instantiate(inputNeuron, neuron);
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}
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@Test
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public void testLinkIncoming() {
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BindingSignal bs0 = new BindingSignal(0, doc);
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Activation iAct = inputNeuron.createActivation(null, doc, Map.of(A, bs0));
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Activation oAct = neuron.createActivation(null, doc, Map.of(B, bs0));
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Assertions.assertNull(oAct.getInputLink(iAct, 0));
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bs0.addActivation(iAct);
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Assertions.assertNull(oAct.getInputLink(iAct, 0));
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oAct.linkIncoming(null);
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Assertions.assertNotNull(oAct.getInputLink(iAct, 0));
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}
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}

‎core/src/test/java/network/aika/activations/MinimalNetworkTest.java‎

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/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package network.aika.activations;
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import network.aika.Config;
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import network.aika.Document;
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import network.aika.Model;
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import network.aika.activations.model.TestTypeModel;
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import network.aika.fields.defs.FieldDefinition;
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import network.aika.neurons.Neuron;
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import network.aika.neurons.Synapse;
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import network.aika.typedefs.ActivationDefinition;
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import network.aika.typedefs.NeuronDefinition;
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import network.aika.typedefs.SynapseDefinition;
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import org.junit.jupiter.api.Assertions;
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import org.junit.jupiter.api.Test;
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import static network.aika.activations.TestBSTypes.A;
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import static network.aika.neurons.RefType.NEURON_EXTERNAL;
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/**
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*
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* @author Lukas Molzberger
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*/
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public class MinimalNetworkTest {
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@Test
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public void minNetworkTest() {
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TestTypeModel typeModel = new TestTypeModel();
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FieldDefinition<NeuronDefinition, Neuron> bias = typeModel.getNeuron().getBias();
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FieldDefinition<SynapseDefinition, Synapse> weight = typeModel.getNeuron().getWeight();
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FieldDefinition<ActivationDefinition, Activation> net = typeModel.getNeuron().getNet();
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Model m = new Model(typeModel)
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.setConfig(new Config());
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System.out.println("Begin test\n");
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Neuron inputNeuron = typeModel
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.getNeuron()
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.getNeuron()
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.instantiate(m);
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Neuron outputNeuron = typeModel
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.getNeuron()
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.getNeuron()
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.instantiate(m)
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.setFieldValue(bias, 1.0);
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Synapse synapse = typeModel
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.getNeuron()
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.getSynapse()
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.instantiate(inputNeuron, outputNeuron)
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.setFieldValue(weight, 10.0)
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.setPropagable(m, true);
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Document doc = new Document(m, 4);
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Activation iAct = doc.addToken(inputNeuron, A, 0)
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.setFieldValue(net, 5.0);
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Assertions.assertEquals(5.0, iAct.getFieldValue(net));
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doc.process();
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System.out.println("Dump results:");
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Activation oAct = doc.getActivationByNeuron(outputNeuron);
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Assertions.assertEquals(10.0, oAct.getFieldValue(net));
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doc.disconnect();
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}
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}

‎core/src/test/java/network/aika/activations/TestBSTypes.java‎

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package network.aika.activations;
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import network.aika.bindingsignal.BSType;
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public enum TestBSTypes implements BSType {
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A,
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B;
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}

‎core/src/test/java/network/aika/activations/model/TestActivationFunction.java‎

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/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package network.aika.activations.model;
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import network.aika.fields.ActivationFunction;
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/**
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*
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* @author Lukas Molzberger
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*/
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public enum TestActivationFunction implements ActivationFunction {
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LIMITED_RECTIFIED_LINEAR_UNIT(
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x -> Math.max(0.0, Math.min(1.0, x)),
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x -> x >= 0.0 && x <= 1.0 ? 1.0 : 0.0
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);
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private final Function f;
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private final Function outerGrad;
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TestActivationFunction(Function f, Function outerGrad) {
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this.f = f;
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this.outerGrad = outerGrad;
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}
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public double f(double x) {
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return f.f(x);
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}
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public double outerGrad(double x) {
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return outerGrad.f(x);
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}
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interface Function {
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double f(double x);
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}
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}

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