package org.seqcode.gseutils.strings.multipattern;
import java.util.HashSet;
import java.util.Set;
/**
A state represents an element in the Aho-Corasick tree.
*/
class State {
// Arbitrarily chosen constant. If this state ends up getting
// deeper than THRESHOLD_TO_USE_SPARSE, then we switch over to a
// sparse edge representation. I did a few tests, and there's a
// local minima here. We may want to choose a more sophisticated
// strategy.
private static final int THRESHOLD_TO_USE_SPARSE = 3;
private int depth;
private EdgeList edgeList;
private State fail;
private Set outputs;
public State(int depth) {
this.depth = depth;
if (depth > THRESHOLD_TO_USE_SPARSE)
this.edgeList = new SparseEdgeList();
else
this.edgeList = new DenseEdgeList();
this.fail = null;
this.outputs = new HashSet();
}
public State extend(byte b) {
if (this.edgeList.get(b) != null)
return this.edgeList.get(b);
State nextState = new State(this.depth + 1);
this.edgeList.put(b, nextState);
return nextState;
}
public State extendAll(byte[] bytes) {
State state = this;
for (int i = 0; i < bytes.length; i++) {
if (state.edgeList.get(bytes[i]) != null)
state = state.edgeList.get(bytes[i]);
else
state = state.extend(bytes[i]);
}
return state;
}
/**
Returns the size of the tree rooted at this State. Note: do
not call this if there are loops in the edgelist graph, such as
those introduced by AhoCorasick.prepare().
*/
public int size() {
byte[] keys = edgeList.keys();
int result = 1;
for (int i = 0; i < keys.length; i++)
result += edgeList.get(keys[i]).size();
return result;
}
public State get(byte b) {
return this.edgeList.get(b);
}
public void put(byte b, State s) {
this.edgeList.put(b, s);
}
public byte[] keys() {
return this.edgeList.keys();
}
public State getFail() {
return this.fail;
}
public void setFail(State f) {
this.fail = f;
}
public void addOutput(Object o) {
this.outputs.add(o);
}
public Set getOutputs() {
return this.outputs;
}
}