/*
* dk.brics.automaton
*
* Copyright (c) 2001-2009 Anders Moeller
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* 1. Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* 3. The name of the author may not be used to endorse or promote products
* derived from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR
* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
* OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
* IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT,
* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT
* NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
* DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
* THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF
* THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
package org.apache.lucene.util.automaton;
import java.util.BitSet;
import java.util.ArrayList;
import java.util.HashSet;
import java.util.LinkedList;
/**
* Operations for minimizing automata.
*
* @lucene.experimental
*/
final public class MinimizationOperations {
private MinimizationOperations() {}
/**
* Minimizes (and determinizes if not already deterministic) the given
* automaton.
*
* @see Automaton#setMinimization(int)
*/
public static void minimize(Automaton a) {
if (!a.isSingleton()) {
minimizeHopcroft(a);
}
// recompute hash code
//a.hash_code = 1a.getNumberOfStates() * 3 + a.getNumberOfTransitions() * 2;
//if (a.hash_code == 0) a.hash_code = 1;
}
/**
* Minimizes the given automaton using Hopcroft's algorithm.
*/
public static void minimizeHopcroft(Automaton a) {
a.determinize();
if (a.initial.numTransitions == 1) {
Transition t = a.initial.transitionsArray[0];
if (t.to == a.initial && t.min == Character.MIN_CODE_POINT
&& t.max == Character.MAX_CODE_POINT) return;
}
a.totalize();
// initialize data structures
final int[] sigma = a.getStartPoints();
final State[] states = a.getNumberedStates();
final int sigmaLen = sigma.length, statesLen = states.length;
@SuppressWarnings({"rawtypes","unchecked"}) final ArrayList<State>[][] reverse =
(ArrayList<State>[][]) new ArrayList[statesLen][sigmaLen];
@SuppressWarnings({"rawtypes","unchecked"}) final HashSet<State>[] partition =
(HashSet<State>[]) new HashSet[statesLen];
@SuppressWarnings({"rawtypes","unchecked"}) final ArrayList<State>[] splitblock =
(ArrayList<State>[]) new ArrayList[statesLen];
final int[] block = new int[statesLen];
final StateList[][] active = new StateList[statesLen][sigmaLen];
final StateListNode[][] active2 = new StateListNode[statesLen][sigmaLen];
final LinkedList<IntPair> pending = new LinkedList<>();
final BitSet pending2 = new BitSet(sigmaLen*statesLen);
final BitSet split = new BitSet(statesLen),
refine = new BitSet(statesLen), refine2 = new BitSet(statesLen);
for (int q = 0; q < statesLen; q++) {
splitblock[q] = new ArrayList<>();
partition[q] = new HashSet<>();
for (int x = 0; x < sigmaLen; x++) {
active[q][x] = new StateList();
}
}
// find initial partition and reverse edges
for (int q = 0; q < statesLen; q++) {
final State qq = states[q];
final int j = qq.accept ? 0 : 1;
partition[j].add(qq);
block[q] = j;
for (int x = 0; x < sigmaLen; x++) {
final ArrayList<State>[] r =
reverse[qq.step(sigma[x]).number];
if (r[x] == null)
r[x] = new ArrayList<>();
r[x].add(qq);
}
}
// initialize active sets
for (int j = 0; j <= 1; j++) {
for (int x = 0; x < sigmaLen; x++) {
for (final State qq : partition[j]) {
if (reverse[qq.number][x] != null)
active2[qq.number][x] = active[j][x].add(qq);
}
}
}
// initialize pending
for (int x = 0; x < sigmaLen; x++) {
final int j = (active[0][x].size <= active[1][x].size) ? 0 : 1;
pending.add(new IntPair(j, x));
pending2.set(x*statesLen + j);
}
// process pending until fixed point
int k = 2;
while (!pending.isEmpty()) {
final IntPair ip = pending.removeFirst();
final int p = ip.n1;
final int x = ip.n2;
pending2.clear(x*statesLen + p);
// find states that need to be split off their blocks
for (StateListNode m = active[p][x].first; m != null; m = m.next) {
final ArrayList<State> r = reverse[m.q.number][x];
if (r != null) for (final State s : r) {
final int i = s.number;
if (!split.get(i)) {
split.set(i);
final int j = block[i];
splitblock[j].add(s);
if (!refine2.get(j)) {
refine2.set(j);
refine.set(j);
}
}
}
}
// refine blocks
for (int j = refine.nextSetBit(0); j >= 0; j = refine.nextSetBit(j+1)) {
final ArrayList<State> sb = splitblock[j];
if (sb.size() < partition[j].size()) {
final HashSet<State> b1 = partition[j];
final HashSet<State> b2 = partition[k];
for (final State s : sb) {
b1.remove(s);
b2.add(s);
block[s.number] = k;
for (int c = 0; c < sigmaLen; c++) {
final StateListNode sn = active2[s.number][c];
if (sn != null && sn.sl == active[j][c]) {
sn.remove();
active2[s.number][c] = active[k][c].add(s);
}
}
}
// update pending
for (int c = 0; c < sigmaLen; c++) {
final int aj = active[j][c].size,
ak = active[k][c].size,
ofs = c*statesLen;
if (!pending2.get(ofs + j) && 0 < aj && aj <= ak) {
pending2.set(ofs + j);
pending.add(new IntPair(j, c));
} else {
pending2.set(ofs + k);
pending.add(new IntPair(k, c));
}
}
k++;
}
refine2.clear(j);
for (final State s : sb)
split.clear(s.number);
sb.clear();
}
refine.clear();
}
// make a new state for each equivalence class, set initial state
State[] newstates = new State[k];
for (int n = 0; n < newstates.length; n++) {
final State s = new State();
newstates[n] = s;
for (State q : partition[n]) {
if (q == a.initial) a.initial = s;
s.accept = q.accept;
s.number = q.number; // select representative
q.number = n;
}
}
// build transitions and set acceptance
for (int n = 0; n < newstates.length; n++) {
final State s = newstates[n];
s.accept = states[s.number].accept;
for (Transition t : states[s.number].getTransitions())
s.addTransition(new Transition(t.min, t.max, newstates[t.to.number]));
}
a.clearNumberedStates();
a.removeDeadTransitions();
}
static final class IntPair {
final int n1, n2;
IntPair(int n1, int n2) {
this.n1 = n1;
this.n2 = n2;
}
}
static final class StateList {
int size;
StateListNode first, last;
StateListNode add(State q) {
return new StateListNode(q, this);
}
}
static final class StateListNode {
final State q;
StateListNode next, prev;
final StateList sl;
StateListNode(State q, StateList sl) {
this.q = q;
this.sl = sl;
if (sl.size++ == 0) sl.first = sl.last = this;
else {
sl.last.next = this;
prev = sl.last;
sl.last = this;
}
}
void remove() {
sl.size--;
if (sl.first == this) sl.first = next;
else prev.next = next;
if (sl.last == this) sl.last = prev;
else next.prev = prev;
}
}
}