org.numenta.nupic.model.Pool Maven / Gradle / Ivy
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* Numenta Platform for Intelligent Computing (NuPIC)
* Copyright (C) 2014, Numenta, Inc. Unless you have an agreement
* with Numenta, Inc., for a separate license for this software code, the
* following terms and conditions apply:
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU Affero Public License version 3 as
* published by the Free Software Foundation.
*
* This program is distributed in the hope that it will be useful,
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
* See the GNU Affero Public License for more details.
*
* You should have received a copy of the GNU Affero Public License
* along with this program. If not, see http://www.gnu.org/licenses.
*
* http://numenta.org/licenses/
* ---------------------------------------------------------------------
*/
package org.numenta.nupic.model;
import java.util.stream.IntStream;
import org.numenta.nupic.util.ArrayUtils;
import gnu.trove.map.TIntObjectMap;
import gnu.trove.map.hash.TIntObjectHashMap;
import gnu.trove.set.hash.TIntHashSet;
/**
* Convenience container for "bound" {@link Synapse} values
* which can be dereferenced from both a Synapse and the
* {@link Connections} object. All Synapses will have a reference
* to a {@code Pool} to retrieve relevant values. In addition, that
* same pool can be referenced from the Connections object externally
* which will update the Synapse's internal reference.
*
* @author David Ray
* @see Synapse
* @see Connections
*/
public class Pool implements Persistable {
/** keep it simple */
private static final long serialVersionUID = 1L;
int size;
/** Allows fast removal of connected synapse indexes. */
private TIntHashSet synapseConnections = new TIntHashSet();
/**
* Indexed according to the source Input Vector Bit (for ProximalDendrites),
* and source cell (for DistalDendrites).
*/
private TIntObjectMap synapsesBySourceIndex = new TIntObjectHashMap<>();
public Pool(int size) {
this.size = size;
}
/**
* Returns the permanence value for the {@link Synapse} specified.
*
* @param s the Synapse
* @return the permanence
*/
public double getPermanence(Synapse s) {
return synapsesBySourceIndex.get(s.getInputIndex()).getPermanence();
}
/**
* Sets the specified permanence value for the specified {@link Synapse}
* @param s
* @param permanence
*/
public void setPermanence(Connections c, Synapse s, double permanence) {
s.setPermanence(c, permanence);
}
/**
* Updates this {@code Pool}'s store of permanences for the specified {@link Synapse}
* @param c the connections memory
* @param s the synapse who's permanence is recorded
* @param permanence the permanence value to record
*/
public void updatePool(Connections c, Synapse s, double permanence) {
int inputIndex = s.getInputIndex();
if(synapsesBySourceIndex.get(inputIndex) == null) {
synapsesBySourceIndex.put(inputIndex, s);
}
if(permanence >= c.getSynPermConnected()) {
synapseConnections.add(inputIndex);
}else {
synapseConnections.remove(inputIndex);
}
}
/**
* Resets the current connections in preparation for new permanence
* adjustments.
*/
public void resetConnections() {
synapseConnections.clear();
}
/**
* Returns the {@link Synapse} connected to the specified input bit
* index.
*
* @param inputIndex the input vector connection's index.
* @return
*/
public Synapse getSynapseWithInput(int inputIndex) {
return synapsesBySourceIndex.get(inputIndex);
}
/**
* Returns an array of permanence values
* @return
*/
public double[] getSparsePermanences() {
double[] retVal = new double[size];
int[] keys = synapsesBySourceIndex.keys();
for(int x = 0, j = size - 1;x < size;x++, j--) {
retVal[j] = synapsesBySourceIndex.get(keys[x]).getPermanence();
}
return retVal;
}
/**
* Returns a dense array representing the potential pool permanences
*
* Note: Only called from tests for now...
* @param c
* @return
*/
public double[] getDensePermanences(Connections c) {
double[] retVal = new double[c.getNumInputs()];
int[] keys = synapsesBySourceIndex.keys();
for(int inputIndex : keys) {
retVal[inputIndex] = synapsesBySourceIndex.get(inputIndex).getPermanence();
}
return retVal;
}
/**
* Returns an array of input bit indexes indicating the index of the source.
* (input vector bit or lateral cell)
* @return the sparse array
*/
public int[] getSparsePotential() {
return ArrayUtils.reverse(synapsesBySourceIndex.keys());
}
/**
* Returns a dense binary array containing 1's where the input bits are part
* of this pool.
* @param c the {@link Connections}
* @return dense binary array of member inputs
*/
public int[] getDensePotential(Connections c) {
return IntStream.range(0, c.getNumInputs())
.map(i -> synapsesBySourceIndex.containsKey(i) ? 1 : 0)
.toArray();
}
/**
* Returns an binary array whose length is equal to the number of inputs;
* and where 1's are set in the indexes of this pool's assigned bits.
*
* @param c {@link Connections}
* @return the sparse array
*/
public int[] getDenseConnected(Connections c) {
return IntStream.range(0, c.getNumInputs())
.map(i -> synapseConnections.contains(i) ? 1 : 0)
.toArray();
}
/**
* Destroys any references this {@code Pool} maintains on behalf
* of the specified {@link Synapse}
*
* @param synapse
*/
public void destroySynapse(Synapse synapse) {
synapseConnections.remove(synapse.getInputIndex());
synapsesBySourceIndex.remove(synapse.getInputIndex());
if(synapse.getSegment() instanceof DistalDendrite) {
destroy();
}
}
/**
* Clears the state of this {@code Pool}
*/
public void destroy() {
synapseConnections.clear();
synapsesBySourceIndex.clear();
synapseConnections = null;
synapsesBySourceIndex = null;
}
/* (non-Javadoc)
* @see java.lang.Object#hashCode()
*/
@Override
public int hashCode() {
final int prime = 31;
int result = 1;
result = prime * result + size;
result = prime * result + ((synapseConnections == null) ? 0 : synapseConnections.toString().hashCode());
result = prime * result + ((synapsesBySourceIndex == null) ? 0 : synapsesBySourceIndex.toString().hashCode());
return result;
}
/* (non-Javadoc)
* @see java.lang.Object#equals(java.lang.Object)
*/
@Override
public boolean equals(Object obj) {
if(this == obj)
return true;
if(obj == null)
return false;
if(getClass() != obj.getClass())
return false;
Pool other = (Pool)obj;
if(size != other.size)
return false;
if(synapseConnections == null) {
if(other.synapseConnections != null)
return false;
} else if((!synapseConnections.containsAll(other.synapseConnections) ||
!other.synapseConnections.containsAll(synapseConnections)))
return false;
if(synapsesBySourceIndex == null) {
if(other.synapsesBySourceIndex != null)
return false;
} else if(!synapsesBySourceIndex.toString().equals(other.synapsesBySourceIndex.toString()))
return false;
return true;
}
}
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