NanoBrain/NanoBrain-unitypackage
NanoBrain/NanoBrain-unitypackage
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Fix produced json

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This commit is contained in:
Pascal Serrarens 2026-08-17 11:40:43 +02:00
parent 5553f8994f
commit e96347a7b2
4 changed files with 44 additions and 58 deletions
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63
Runtime/Scripts/Core/Cluster.cs
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@ -372,11 +372,11 @@ namespace NanoBrain {
}
}
public Cluster Clone() {
public Cluster Copy() {
Cluster clone = new() {
name = this.name,
prefab = this.prefab,
version = this.version,
version = this.version,
parent = this.parent
};
if (clone.parent != null) {
@ -386,7 +386,7 @@ namespace NanoBrain {
// first clone the nuclei without their connections
foreach (Nucleus nucleus in this.nuclei)
nucleus.ShallowCloneTo(clone);
Nucleus[] clonedNuclei = clone.nuclei.ToArray();
// Now clone the connections
for (int nucleusIx = 0; nucleusIx < this.nuclei.Count; nucleusIx++) {
@ -403,8 +403,9 @@ namespace NanoBrain {
if (synapseNeuron.parent.prefab != null && synapseNeuron.parent.prefab != clone.prefab) {
// Neuron is in another cluster, find the cloned cluster first
Cluster sourceCluster = synapseNeuron.parent;
Cluster clonedCluster = clone.nuclei.Find(n => n.name == sourceCluster.name) as Cluster;
if (clonedCluster == null)
//Cluster clonedCluster = clone.nuclei.Find(n => n.name == sourceCluster.name) as Cluster;
Nucleus clonedClusterNucleus = clone.nuclei.Find(n => n.name == sourceCluster.name);
if (clonedClusterNucleus is not Cluster clonedCluster)
continue;
// Now find the neuron in that cloned cluster
@ -433,26 +434,6 @@ namespace NanoBrain {
}
}
foreach (Nucleus clonedNucleus in clonedNuclei) {
if (clonedNucleus is not Cluster clonedCluster)
continue;
List<Cluster> siblings = new() { clonedCluster };
for (int instanceIx = 1; instanceIx < clonedCluster.instanceCount; instanceIx++) {
// Create another sibling
Cluster sibling = new(clonedCluster.prefab, this) {
name = $"{clonedCluster.baseName}: {instanceIx}",
parent = clone.parent,
instanceCount = clone.instanceCount,
};
siblings.Add(sibling);
CopyAllExternalReceivers(clonedCluster, sibling, this);
}
Cluster[] siblingClusters = siblings.ToArray();
foreach (Cluster sibling in siblings)
sibling.instances = siblingClusters;
}
return clone;
}
@ -512,8 +493,8 @@ namespace NanoBrain {
public static int GetNucleusIndex(List<Nucleus> nuclei, Nucleus nucleus) {
int i = 0;
foreach (Nucleus nucleiElement in nuclei) {
//for (int i = 0; i < nuclei.Length; i++) {
if (nucleiElement == nucleus)
// if (nucleiElement == nucleus)
if (nucleiElement.name == nucleus.name)
return i;
i++;
}
@ -1124,20 +1105,20 @@ namespace NanoBrain {
public ClusterData(Cluster cluster) {
this.name = cluster.name;
foreach (Nucleus nucleus in cluster.nuclei) {
if (nucleus is Neuron neuron) {
NeuronData neuronData = new(neuron);
this.neurons.Add(neuronData);
foreach (Synapse synapse in neuron.synapses) {
if (synapse.neuron.parent.name != cluster.name) {
ExternalClusterData clusterData = new(synapse.neuron.parent);
if (GetCluster(clusterData.name) == null) {
//if (this.clusters.Find(data => data.name == clusterData.name) == null) {
this.clusters.Add(clusterData);
//Debug.Log("Add cluster");
}
}
}
if (nucleus is not Neuron neuron)
continue;
NeuronData neuronData = new(neuron);
this.neurons.Add(neuronData);
foreach (Synapse synapse in neuron.synapses) {
if (synapse.neuron.parent.baseName == cluster.name)
continue;
ExternalClusterData clusterData = new(synapse.neuron.parent);
if (GetCluster(clusterData.name) == null)
this.clusters.Add(clusterData);
}
}
}
@ -1157,7 +1138,7 @@ namespace NanoBrain {
public uint instanceCount;
public ExternalClusterData(Cluster cluster) {
this.name = cluster.name;
this.name = cluster.baseName;
this.prefabName = cluster.prefab.name;
this.instanceCount = (uint)cluster.instanceCount;
}

27
Runtime/Scripts/Core/Neuron.cs
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@ -256,15 +256,15 @@ namespace NanoBrain {
/// Check if the neuron is sleeping.
/// </summary>
/// This will reset the output value if it is sleeping
// public void SleepCheck() {
// if (this.isSleeping && this.outputSqrMagnitude > 0) {
// #if UNITY_MATHEMATICS
// this._outputValue = new float3(0, 0, 0);
// #else
// this._outputValue = new Vector3(0,0,0);
// #endif
// }
// }
// public void SleepCheck() {
// if (this.isSleeping && this.outputSqrMagnitude > 0) {
// #if UNITY_MATHEMATICS
// this._outputValue = new float3(0, 0, 0);
// #else
// this._outputValue = new Vector3(0,0,0);
// #endif
// }
// }
/// <summary>
/// The time at which the last update has been done
@ -791,7 +791,7 @@ namespace NanoBrain {
#endregion Back propagation
private CancellationTokenSource _cts;
private Action resetStimulus;
private Action resetStimulus;
/// <summary>
/// Process an external stimulus
@ -806,7 +806,7 @@ namespace NanoBrain {
if (autoResetDelay > 0) {
long now = DateTimeOffset.UtcNow.ToUnixTimeMilliseconds();
long resetTime = now + (long)(autoResetDelay * 1000.0f);
Cluster.TimedAction.AddTo(this.parent.actions, this.parent.name + "." +this.name, this.resetStimulus, resetTime);
Cluster.TimedAction.AddTo(this.parent.actions, this.parent.name + "." + this.name, this.resetStimulus, resetTime);
}
}
@ -839,6 +839,11 @@ namespace NanoBrain {
this.activationType = neuron.activator;
foreach (Synapse synapse in neuron.synapses) {
// Check whether synapse exists already first
if (this.synapses.Find(s => s.neuronName == synapse.neuron.name) != null)
// But then: what to do with the weights???? :-)
continue;
SynapseData synapseData = new(synapse);
this.synapses.Add(synapseData);
}

10
Runtime/Scripts/Core/Population.cs
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@ -55,11 +55,11 @@ namespace NanoBrain {
if (members.Count <= 0)
return null;
Cluster result = members[0].brain.Clone();
for (int memberIx = 1; memberIx < members.Count; memberIx++) {
Member member = members[memberIx];
result.ProcessWeightsFrom(member.brain, Average);
}
Cluster result = members[0].brain.Copy();
// for (int memberIx = 1; memberIx < members.Count; memberIx++) {
// Member member = members[memberIx];
// result.ProcessWeightsFrom(member.brain, Average);
// }
return result;
}

2
Runtime/Scripts/Core/Synapse.cs
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@ -152,7 +152,7 @@ namespace NanoBrain {
// this.clusterName = synapse.neuron.parent.prefab.name;
// else
// this.clusterName = synapse.neuron.parent.name;
this.clusterName = synapse.neuron.parent.name;
this.clusterName = synapse.neuron.parent.baseName;
this.neuronName = synapse.neuron.name;
this.weight = synapse.weight;
this.trainable = synapse.trainable;