org.chocosolver.util.objects.graphs.MultivaluedDecisionDiagram Maven / Gradle / Ivy
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/*
* This file is part of choco-solver, http://choco-solver.org/
*
* Copyright (c) 2020, IMT Atlantique. All rights reserved.
*
* Licensed under the BSD 4-clause license.
*
* See LICENSE file in the project root for full license information.
*/
package org.chocosolver.util.objects.graphs;
import gnu.trove.list.array.TIntArrayList;
import gnu.trove.map.hash.TIntIntHashMap;
import org.chocosolver.solver.constraints.extension.Tuples;
import org.chocosolver.solver.variables.IntVar;
import java.util.ArrayList;
import java.util.Arrays;
/**
* A Multi-valued Decision Diagram (MDD for short) to store
*
* Created by cprudhom on 30/10/14.
*/
public class MultivaluedDecisionDiagram {
/**
* The terminal node. An extreme (likely unused) value is set
*/
public static final int TERMINAL = -1;
/**
* Express "no edge" information
*/
public static final int EMPTY = 0;
/**
* Store the number of variables
*/
private final int nbLayers;
/**
* Initial domain size
*/
private final int[] sizes;
/**
* Initial domain offset
*/
private final int[] offsets;
/**
* Store all possible edges for the i^th node, 'EMPTY' otherwise
*/
private int[] mdd;
/**
* Point to the first clear cell in 'mdds'
*/
private int nextFreeCell;
private final boolean compactOnce;
private final boolean sortTuples;
// TEMPORARY DATA STRUCTURE, PREFIX WITH "_", CLEARED AFTER USAGE
private TIntIntHashMap _nodesToRemove; // store the nodes to remove and the size of each node
private ArrayList[][] _identicalNodes; // store child nodes of a node
private TIntArrayList[][] _nodeId; // store node id per layer and nb of mdds
private int _removedCells; // define the number of cells erased by the compaction
private int[] _pos;
private static int[][] flattenDomain(IntVar[] VARIABLES) {
int[][] FLATDOM = new int[VARIABLES.length][];
for (int i = 0; i < VARIABLES.length; i++) {
int lb = VARIABLES[i].getLB();
int ub = VARIABLES[i].getUB();
int size = ub - lb + 1;
FLATDOM[i] = new int[size];
for (int j = 0; j < size; j++) {
FLATDOM[i][j] = j + lb;
}
}
return FLATDOM;
}
/**
* Create an MDD based on an array of flatten domains and a set of tuples
*
* @param VARIABLES array of flatten domains
* @param TUPLES set of (allowed) tuples
*/
public MultivaluedDecisionDiagram(IntVar[] VARIABLES, Tuples TUPLES) {
this(flattenDomain(VARIABLES), TUPLES);
}
/**
* Create an MDD based on an array of flatten domains and a set of tuples
*
* @param VARIABLES array of flatten domains
* @param TUPLES set of (allowed) tuples
* @param compactOnce set to true to compact the MDD after having added all the TUPLES, set to false to try to compact the MDD after each tuple addition
* @param sortTuple set to true to sort the TUPLES in increasing order before adding them
*/
public MultivaluedDecisionDiagram(IntVar[] VARIABLES, Tuples TUPLES, boolean compactOnce, boolean sortTuple) {
this(flattenDomain(VARIABLES), TUPLES, compactOnce, sortTuple);
}
/**
* Create an MDD based on an array of flatten domains and a set of tuples
*
* @param FLATDOM array of flatten domains
* @param TUPLES set of (allowed) tuples
*/
public MultivaluedDecisionDiagram(int[][] FLATDOM, Tuples TUPLES) {
this(FLATDOM, TUPLES, true, false);
}
/**
* Create an MDD based on an array of flatten domains and a set of tuples
*
* @param FLATDOM array of flatten domains
* @param TUPLES set of (allowed) tuples
* @param compactOnce set to true to compact the MDD after having added all the TUPLES, set to false to try to compact the MDD after each tuple addition
* @param sortTuple set to true to sort the TUPLES in increasing order before adding them
*/
public MultivaluedDecisionDiagram(int[][] FLATDOM, Tuples TUPLES, boolean compactOnce, boolean sortTuple) {
this.nbLayers = FLATDOM.length;
this.offsets = new int[nbLayers];
this.sizes = new int[nbLayers];
this.compactOnce = compactOnce;
this.sortTuples = sortTuple;
int maxDom = 0;
for (int i = 0; i < nbLayers; i++) {
offsets[i] = FLATDOM[i][0];
sizes[i] = FLATDOM[i][FLATDOM[i].length - 1] - FLATDOM[i][0] + 1;
if (maxDom < sizes[i]) {
maxDom = sizes[i];
}
}
mdd = new int[nbLayers * maxDom];
init(TUPLES);
}
/**
* Create an MDD based on an array of flatten domains and a set of transitions.
* The first of the graph has to be labeled '0' and the last node of the graph has to be labeled '-1'.
* Then, a transition is triple which denotes an arc from node 'f' to node 't' valued to 'v'.
*
* @param VARIABLES array of flatten domains
* @param TRANSITIONS list of transitions
*/
public MultivaluedDecisionDiagram(IntVar[] VARIABLES, int[][] TRANSITIONS) {
int[][]FLATDOM = flattenDomain(VARIABLES);
this.nbLayers = FLATDOM.length;
this.offsets = new int[nbLayers];
this.sizes = new int[nbLayers];
this.compactOnce = true;
this.sortTuples = true;
int maxDom = 0;
for (int i = 0; i < nbLayers; i++) {
offsets[i] = FLATDOM[i][0];
sizes[i] = FLATDOM[i][FLATDOM[i].length - 1] - FLATDOM[i][0] + 1;
if (maxDom < sizes[i]) {
maxDom = sizes[i];
}
}
mdd = new int[nbLayers * maxDom];
init(TRANSITIONS);
}
@SuppressWarnings("unchecked")
private void init(Tuples TUPLES) {
nextFreeCell = sizes[0];
_pos = new int[nbLayers];
_nodesToRemove = new TIntIntHashMap(16, .5f, -1, -1);
_identicalNodes = new ArrayList[nbLayers][];
_nodeId = new TIntArrayList[nbLayers][];
// Then add tuples
if (TUPLES.nbTuples() > 0) {
if (addTuples(TUPLES) && compactOnce) { // compact at the end, or not
compact();
}
}
}
/**
* Add all tuples within the MDD
*
* @param TUPLES tuples to add
*/
public boolean addTuples(Tuples TUPLES) {
if (sortTuples) TUPLES.sort();
boolean atLeastOne = false;
for (int t = 0; t < TUPLES.nbTuples(); t++) {
atLeastOne |= addTuple(TUPLES.get(t));
}
return atLeastOne;
}
/**
* Add a tuple to the MDD
*
* @param TUPLE tuple to add
*/
public boolean addTuple(int[] TUPLE) {
for (int i = 0; i < nbLayers; i++) {
// if the tuple is out of declared domain
if(TUPLE[i] < offsets[i] || TUPLE[i] >= offsets[i] + sizes[i]){
return false;
}
// get the position of the value relatively to the offset of each variable
_pos[i] = TUPLE[i] - offsets[i];
}
int p = 0;
for (int i = 0; i < nbLayers; i++) {
p += _pos[i];
ensureCapacity(p + sizes[i]);
if (mdd[p] == EMPTY) {
if (i + 1 == nbLayers) { // if this is the last variable => terminal node
mdd[p] = TERMINAL;
} else { // otherwise, create an edge to a new location, stated by nextFreeCell
p = mdd[p] = nextFreeCell;
nextFreeCell += sizes[i + 1];
}
} else { // if the child already exists
p = mdd[p];
}
}
if (!compactOnce) { // compact during the addition or not
compact();
}
return true;
}
@SuppressWarnings("unchecked")
private void init(int[][] TRANSITIONS) {
nextFreeCell = sizes[0];
_pos = new int[nbLayers];
Arrays.sort(TRANSITIONS, (t1, t2) -> {
int d = t1[0] - t2[0];
if(d == 0){
return t1[2] - t2[2];
}
return d;
});
_nodesToRemove = new TIntIntHashMap(16, .5f, -1, -1);
_identicalNodes = new ArrayList[nbLayers][];
_nodeId = new TIntArrayList[nbLayers][];
// Then add tuples
// 0 is the root node
// -1 is the target node
int pf = 0;
TIntIntHashMap node = new TIntIntHashMap(16, 1.5f, -2, -2);
TIntIntHashMap posi = new TIntIntHashMap(16, 1.5f, -2, -2);
for (int t = 0; t < TRANSITIONS.length; t++) {
//addTransition(TRANSITIONS[t]);
int f = TRANSITIONS[t][0];
int v = TRANSITIONS[t][1];
int d = TRANSITIONS[t][2];
if(f == 0){
if(v < offsets[f] || v >= offsets[f] + sizes[f]){
continue;
}
int p = v - offsets[f];
ensureCapacity(p + sizes[f]);
assert mdd[p] == EMPTY;
if (d == -1) { // if this is the last variable => terminal node
mdd[p] = TERMINAL;
} else { // otherwise, create an edge to a new location, stated by nextFreeCell
if(!node.containsKey(d)) {
mdd[p] = nextFreeCell;
pf = f + 1;
node.putIfAbsent(d, f + 1);
posi.putIfAbsent(d, nextFreeCell);
nextFreeCell += sizes[f + 1];
}else{
mdd[p] = posi.get(d);
}
}
}else{
int _f = node.get(f);
if(v < offsets[_f] || v >= offsets[_f] + sizes[_f]){
continue;
}
int p = posi.get(f) + v - offsets[_f];
if(pf!=_f){
// detectIsomorphism(0, pf);
// deleteIsomorphism();
pf = f;
}
ensureCapacity(p + sizes[_f]);
if (mdd[p] == EMPTY) {
if (d == -1) { // if this is the last variable => terminal node
mdd[p] = TERMINAL;
} else { // otherwise, create an edge to a new location, stated by nextFreeCell
if(!node.containsKey(d)) {
mdd[p] = nextFreeCell;
node.putIfAbsent(d, _f + 1);
posi.putIfAbsent(d, nextFreeCell);
nextFreeCell += sizes[_f + 1];
}else{
mdd[p] = posi.get(d);
}
}
}
}
}
compact();
}
/**
* Ensure all data structure are correctly sized.
*
* @param nsize new size expected
*/
private void ensureCapacity(int nsize) {
if (nsize > mdd.length) {
int[] _mdd = mdd;
mdd = new int[nsize * 3 / 2 + 1];
System.arraycopy(_mdd, 0, mdd, 0, _mdd.length);
}
}
/**
* Compact the MDD by removing equivalent branches
*/
@SuppressWarnings("unchecked")
private void compact() {
long card = Arrays.stream(sizes).mapToLong(i -> (long)i)
.reduce((a,b) -> a * b).getAsLong();
if(card <= 2_000_000) {
_nodesToRemove.clear();
for (int i = 0; i < nbLayers; i++) {
_identicalNodes[i] = new ArrayList[sizes[i]];
_nodeId[i] = new TIntArrayList[sizes[i]];
}
_removedCells = 0;
detectIsomorphism(0, 0);
deleteIsomorphism();
}
}
/**
* For a given node related to a given variable (defined by layer), evaluate if two or more mdds are strictly equal.
*
* @param node node in the MDD
* @param layer rank of the variable
* @return the node id
*/
private int detectIsomorphism(int node, int layer) {
int[] nodeChild = new int[sizes[layer]];
int nbChild = -1;
for (int i = 0; i < sizes[layer]; i++) {
switch (mdd[node + i]) {
case EMPTY: // nothing to be done
break;
case TERMINAL: // a terminal node
nbChild++;
nodeChild[i] = TERMINAL;
break;
default: // a non terminal node
nbChild++;
mdd[node + i] = nodeChild[i] = detectIsomorphism(mdd[node + i], layer + 1);
break;
}
}
return doStuff(node, layer, nbChild, nodeChild);
}
private int doStuff(int node, int layer, int nbChild, int[] nodeChild) {
boolean known = false;
if (_identicalNodes[layer][nbChild] == null) {
_identicalNodes[layer][nbChild] = new ArrayList<>();
_nodeId[layer][nbChild] = new TIntArrayList();
} else {
for (int j = _identicalNodes[layer][nbChild].size() - 1; j >= 0; j--) {
int[] currentNode = _identicalNodes[layer][nbChild].get(j);
boolean found = _nodeId[layer][nbChild].get(j) != node; // deal with previously analyzed nodes
known |= !found;
if (found && Arrays.equals(currentNode, nodeChild)) {
int insert = _nodesToRemove.put(node, sizes[layer]);
if (insert == -1) {
_removedCells += sizes[layer];
}
return _nodeId[layer][nbChild].get(j);
}
}
}
if (!known) {
_nodeId[layer][nbChild].add(node);
_identicalNodes[layer][nbChild].add(nodeChild);
}
return node;
}
/**
* Prune the dead branch of the MDD, based on nodeToRemove.
*/
private void deleteIsomorphism() {
int[] compacted = new int[nextFreeCell - _removedCells];
int[] nodes = new int[_nodesToRemove.size() + 1];
int[] gains = new int[_nodesToRemove.size() + 1];
int idx = 1;
if (_nodesToRemove.isEmpty()) {
// If no equality detected, simply resize the array
System.arraycopy(mdd, 0, compacted, 0, nextFreeCell);
mdd = compacted;
} else {
int to, from = 0;
int gain = 0;
int[] keys = _nodesToRemove.keys();
Arrays.sort(keys);
// otherwise, iterate over nodes to remove
for (int k : keys) {
// node to remove
nodes[idx] = k;
to = nodes[idx] - nodes[idx - 1] - gain;
System.arraycopy(mdd, nodes[idx - 1] + gain, compacted, from, to);
from += to;
gain = _nodesToRemove.get(k);
gains[idx] = gains[idx - 1] + gain;
idx++;
}
System.arraycopy(mdd, nodes[idx - 1] + gain, compacted, from, compacted.length - from);
for (int i = 0; i < compacted.length; i++) {
if (compacted[i] > EMPTY) {
compacted[i] -= gains[searchClosest(nodes, compacted[i])];
}
}
mdd = compacted;
nextFreeCell -= _removedCells;
}
}
protected int searchClosest(int[] a, int key) {
int low = 0;
int high = a.length - 1;
int mid = (low + high) >> 1;
while (low + 1 < high) {
if (a[mid] > key) {
high = mid;
} else {
low = mid;
}
mid = (low + high) >> 1;
}
if (a[high] <= key) {
return high;
} else {
return low;
}
}
/**
* Return the diagram (not a copy) of the MDD
*/
public int[] getDiagram() {
return mdd;
}
/**
* Return the initial domain size of the variable in layer
*
* @param layer index of the variable
* @return original domain size
*/
public int getNodeSize(int layer) {
return sizes[layer];
}
/**
* Return the initial LB of the variable in layer
*
* @param layer index of the variable
* @return original offset
*/
public int getOffset(int layer) {
return offsets[layer];
}
/**
* Return the edge valued in the k^th cell of the diagram
*
* @param k index of the cell
*/
public int getEdge(int k) {
return mdd[k];
}
/**
* Return true is PATH has a support in the mdd
*
* @param PATH array of value
* @return true if PATH is valid
*/
public boolean exists(int... PATH) {
if (PATH.length == nbLayers) {
int p = 0;
for (int i = 0; i < nbLayers; i++) {
p += PATH[i] - offsets[i];
if (p >= mdd.length || mdd[p] == EMPTY) {
return false;
} else if (i + 1 == nbLayers) { // if this is the last variable => terminal node
return mdd[p] == TERMINAL;
} else {
p = mdd[p];
}
}
}
return false;
}
}