211 lines
7.7 KiB
C#
211 lines
7.7 KiB
C#
using System;
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using System.Collections.Generic;
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using UnityEngine;
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using Unity.Mathematics;
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using static Unity.Mathematics.math;
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using System.Linq;
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[Serializable]
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public class ClusterReceptor : Cluster, IReceptor {
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public ClusterReceptor(ClusterPrefab prefab, Cluster parent, string name) : base(prefab, parent) {
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this.name = name;
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this.array = new NucleusArray(this);
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if (this.name.IndexOf(":") < 0)
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this.name += ": 0";
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}
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public ClusterReceptor(ClusterPrefab prefab, ClusterPrefab parent, string name) : base(prefab, parent) {
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this.name = name;
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this.array = new NucleusArray(this);
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}
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public string GetName() {
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return this.name;
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}
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public override Nucleus ShallowCloneTo(Cluster parent) {
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ClusterReceptor clone = new(this.prefab, parent, this.name) {
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clusterPrefab = this.clusterPrefab,
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//array = this.array
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};
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//CloneFields(clone);
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// This cloned the prefab with the clusternuclei,
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// but did not clone the receivers outside the cluster
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//RestoreExternalReceivers(clone, this.clusterPrefab, parent);
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return clone;
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}
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public override Nucleus Clone(ClusterPrefab parent) {
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ClusterReceptor clone = new(prefab, parent, this.name) {
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array = this._array
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};
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//CloneFields(clone);
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foreach (Synapse synapse in this.synapses) {
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Synapse clonedSynapse = clone.AddSynapse(synapse.nucleus);
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clonedSynapse.weight = synapse.weight;
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}
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// foreach (Nucleus receiver in this.receivers) {
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// clone.AddReceiver(receiver);
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// }
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this._outputs = null; // Make sure the output are regenerated
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foreach (Neuron output in this.outputs) {
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int ix = GetNucleusIndex(this.clusterNuclei, output);
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if (ix < 0 || clone.clusterNuclei[ix] is not Neuron clonedOutput)
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continue;
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foreach (Nucleus receiver in output.receivers)
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clonedOutput.AddReceiver(receiver);
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}
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return clone;
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}
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public override List<Nucleus> CollectReceivers() {
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List<Nucleus> receivers = new();
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foreach (Nucleus element in this.nucleiArray) {
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if (element is not Cluster clusterElement)
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continue;
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foreach (Nucleus outputNucleus in clusterElement.clusterNuclei) {
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if (outputNucleus is not Neuron output)
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continue;
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// this should be clusterElement.outputs,
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// but outputs is not updated when correctly and may contain old data...
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foreach (Nucleus receiver in output.receivers) {
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// Only add receivers outside clusterElement cluster
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if (receiver.clusterPrefab != clusterElement.prefab &&
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receivers.Contains(receiver) == false)
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receivers.Add(receiver);
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}
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}
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}
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return receivers;
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}
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[SerializeReference]
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private NucleusArray _array;
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public NucleusArray array {
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//get { return _array; }
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set { _array = value; }
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}
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//[SerializeReference]
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//private Nucleus[] _nucleusArray;
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public Nucleus[] nucleiArray {
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get { return _array.nuclei; }
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set { _array.nuclei = value; }
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}
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public void AddReceptorElement(ClusterPrefab prefab) {
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IReceptorHelpers.AddReceptorElement(this, prefab);
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}
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public void RemoveReceptorElement() {
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IReceptorHelpers.RemoveReceptorElement(this);
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}
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public void AddArrayReceiver(Nucleus receiverToAdd, float weight = 1) {
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IReceptorHelpers.AddArrayReceiver(this, receiverToAdd, weight);
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}
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public override void UpdateStateIsolated() {
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float3 sum = this.bias;
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foreach (Nucleus nucleus in this.sortedNuclei)
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nucleus.UpdateStateIsolated();
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this.outputValue = this.defaultOutput.outputValue;
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this.stale = 0;
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UpdateNuclei();
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}
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public override void UpdateNuclei() {
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this.stale++;
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if (this.stale > staleValueForSleep && lengthsq(this.bias) > 0) {
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this.bias = new float3(0, 0, 0);
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this.parent.UpdateFromNucleus(this);
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}
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foreach (Nucleus nucleus in this.clusterNuclei)
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nucleus.UpdateNuclei();
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}
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public override void ProcessStimulus(Vector3 inputValue, int thingId = 0, string thingName = null) {
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this._array ??= new NucleusArray(this.parent);
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this._array.ProcessStimulus(thingId, inputValue, thingName);
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}
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private Dictionary<int, ClusterReceptor> thingReceivers = new();
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public virtual void ProcessStimulus(Neuron input, Vector3 inputValue, int thingId = 0, string thingName = null) {
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inputValue = input.Activator(inputValue);
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if (!thingReceivers.TryGetValue(thingId, out ClusterReceptor selectedReceiver))
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selectedReceiver = FindReceiver(thingId, inputValue);
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if (selectedReceiver == null)
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return;
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if (thingName != null) {
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string baseName = selectedReceiver.name;
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int colonPos = selectedReceiver.name.IndexOf(":");
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if (colonPos > 0)
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baseName = selectedReceiver.name[..colonPos];
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selectedReceiver.name = baseName + ": " + thingName;
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}
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int inputIx = GetNucleusIndex(this.clusterNuclei, input);
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if (inputIx < 0)
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return;
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if (selectedReceiver.clusterNuclei[inputIx] is Neuron selectedNeuron)
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selectedNeuron.ProcessStimulusDirect(inputValue);
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}
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private ClusterReceptor FindReceiver(int thingId, float3 inputValue) {
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// No existing nucleus for this thing
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float inputMagnitude = length(inputValue);
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ClusterReceptor selectedReceiver = null;
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float selectedMagnitude = 0;
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foreach (ClusterReceptor receiver in nucleiArray.Cast<ClusterReceptor>()) {
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if (thingReceivers.ContainsValue(receiver) == false) {
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// We found an unusued receiver
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thingReceivers.Add(thingId, receiver);
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return receiver;
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}
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else if (receiver.isSleeping) {
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// A sleeping receiver is not active and can therefore always be used
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thingReceivers.Add(thingId, receiver);
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return receiver;
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}
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else if (selectedReceiver == null) {
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// If we haven't found a receiver yet, just start by taking the first
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selectedReceiver = receiver;
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selectedMagnitude = length(selectedReceiver.outputValue);
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}
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// Look for the receiver with the lowest magnitude
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else {
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float magnitude = length(receiver.outputValue);
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if (magnitude < inputMagnitude && length(receiver.outputValue) < selectedMagnitude) {
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selectedReceiver = receiver;
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selectedMagnitude = length(selectedReceiver.outputValue);
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}
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}
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}
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if (selectedReceiver != null) {
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// Replace the receiver
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// Find the thingId current associated with the receiver
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int keyToRemove = thingReceivers.FirstOrDefault(r => r.Value.Equals(selectedReceiver)).Key;
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if (keyToRemove != 0 || thingReceivers.ContainsKey(keyToRemove))
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thingReceivers.Remove(keyToRemove);
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// And add the new association
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thingReceivers.Add(thingId, selectedReceiver);
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}
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return selectedReceiver;
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}
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} |