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The Java version of Numenta's HTM technology
/* ---------------------------------------------------------------------
* 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,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* 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.ArrayList;
import java.util.LinkedHashSet;
import java.util.List;
import java.util.Set;
import org.numenta.nupic.algorithms.TemporalMemory;
/**
* Contains a snapshot of the state attained during one computational
* call to the {@link TemporalMemory}. The {@code TemporalMemory} uses
* data from previous compute cycles to derive new data for the current cycle
* through a comparison between states of those different cycles, therefore
* this state container is necessary.
*
* @author David Ray
*/
public class ComputeCycle implements Persistable {
private static final long serialVersionUID = 1L;
public Set activeCells = new LinkedHashSet<>();
public Set winnerCells = new LinkedHashSet<>();
public List activeSegments = new ArrayList<>();
public List matchingSegments = new ArrayList<>();
public Set predictiveCells = new LinkedHashSet<>();
/**
* Constructs a new {@code ComputeCycle}
*/
public ComputeCycle() {}
/**
* Constructs a new {@code ComputeCycle} initialized with
* the connections relevant to the current calling {@link Thread} for
* the specified {@link TemporalMemory}
*
* @param c the current connections state of the TemporalMemory
*/
public ComputeCycle(Connections c) {
this.activeCells = new LinkedHashSet<>(c.activeCells);
this.winnerCells = new LinkedHashSet<>(c.winnerCells);
this.predictiveCells = new LinkedHashSet<>(c.predictiveCells);
this.activeSegments = new ArrayList<>(c.activeSegments);
this.matchingSegments = new ArrayList<>(c.matchingSegments);
}
/**
* Returns the current {@link Set} of active cells
*
* @return the current {@link Set} of active cells
*/
public Set activeCells() {
return activeCells;
}
/**
* Returns the current {@link Set} of winner cells
*
* @return the current {@link Set} of winner cells
*/
public Set winnerCells() {
return winnerCells;
}
/**
* Returns the {@link List} of sorted predictive cells.
* @return
*/
public Set predictiveCells() {
if(predictiveCells.isEmpty()) {
Cell previousCell = null;
Cell currCell = null;
for(DistalDendrite activeSegment : activeSegments) {
if((currCell = activeSegment.getParentCell()) != previousCell) {
predictiveCells.add(previousCell = currCell);
}
}
}
return predictiveCells;
}
/* (non-Javadoc)
* @see java.lang.Object#hashCode()
*/
@Override
public int hashCode() {
final int prime = 31;
int result = 1;
result = prime * result + ((activeCells == null) ? 0 : activeCells.hashCode());
result = prime * result + ((predictiveCells == null) ? 0 : predictiveCells.hashCode());
result = prime * result + ((winnerCells == null) ? 0 : winnerCells.hashCode());
result = prime * result + ((activeSegments == null) ? 0 : activeSegments.hashCode());
result = prime * result + ((matchingSegments == null) ? 0 : matchingSegments.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;
ComputeCycle other = (ComputeCycle)obj;
if(activeCells == null) {
if(other.activeCells != null)
return false;
} else if(!activeCells.equals(other.activeCells))
return false;
if(predictiveCells == null) {
if(other.predictiveCells != null)
return false;
} else if(!predictiveCells.equals(other.predictiveCells))
return false;
if(winnerCells == null) {
if(other.winnerCells != null)
return false;
} else if(!winnerCells.equals(other.winnerCells))
return false;
if(activeSegments == null) {
if(other.activeSegments != null)
return false;
} else if(!activeSegments.equals(other.activeSegments))
return false;
if(matchingSegments == null) {
if(other.matchingSegments != null)
return false;
} else if(!matchingSegments.equals(other.matchingSegments))
return false;
return true;
}
}
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