org.antlr.v4.runtime.dfa.SparseEdgeMap Maven / Gradle / Ivy
The newest version!
/*
* Copyright (c) 2012 The ANTLR Project. All rights reserved.
* Use of this file is governed by the BSD-3-Clause license that
* can be found in the LICENSE.txt file in the project root.
*/
package org.antlr.v4.runtime.dfa;
import org.antlr.v4.runtime.misc.NotNull;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.Set;
/**
* @deprecated Use {@link HashEdgeMap} instead.
*
* @author Sam Harwell
*/
@Deprecated
public final class SparseEdgeMap extends AbstractEdgeMap {
private static final int DEFAULT_MAX_SIZE = 5;
private final int[] keys;
private final List values;
public SparseEdgeMap(int minIndex, int maxIndex) {
this(minIndex, maxIndex, DEFAULT_MAX_SIZE);
}
public SparseEdgeMap(int minIndex, int maxIndex, int maxSparseSize) {
super(minIndex, maxIndex);
this.keys = new int[maxSparseSize];
this.values = new ArrayList(maxSparseSize);
}
private SparseEdgeMap(@NotNull SparseEdgeMap map, int maxSparseSize) {
super(map.minIndex, map.maxIndex);
synchronized (map) {
if (maxSparseSize < map.values.size()) {
throw new IllegalArgumentException();
}
keys = Arrays.copyOf(map.keys, maxSparseSize);
values = new ArrayList(maxSparseSize);
values.addAll(map.values);
}
}
public final int[] getKeys() {
return keys;
}
public final List getValues() {
return values;
}
public final int getMaxSparseSize() {
return keys.length;
}
@Override
public int size() {
return values.size();
}
@Override
public boolean isEmpty() {
return values.isEmpty();
}
@Override
public boolean containsKey(int key) {
return get(key) != null;
}
@Override
public T get(int key) {
// Special property of this collection: values are only even added to
// the end, else a new object is returned from put(). Therefore no lock
// is required in this method.
int index = Arrays.binarySearch(keys, 0, size(), key);
if (index < 0) {
return null;
}
return values.get(index);
}
@Override
public AbstractEdgeMap put(int key, T value) {
if (key < minIndex || key > maxIndex) {
return this;
}
if (value == null) {
return remove(key);
}
synchronized (this) {
int index = Arrays.binarySearch(keys, 0, size(), key);
if (index >= 0) {
// replace existing entry
values.set(index, value);
return this;
}
assert index < 0 && value != null;
int insertIndex = -index - 1;
if (size() < getMaxSparseSize() && insertIndex == size()) {
// stay sparse and add new entry
keys[insertIndex] = key;
values.add(value);
return this;
}
int desiredSize = size() >= getMaxSparseSize() ? getMaxSparseSize() * 2 : getMaxSparseSize();
int space = maxIndex - minIndex + 1;
// SparseEdgeMap only uses less memory than ArrayEdgeMap up to half the size of the symbol space
if (desiredSize >= space / 2) {
ArrayEdgeMap arrayMap = new ArrayEdgeMap(minIndex, maxIndex);
arrayMap = arrayMap.putAll(this);
arrayMap.put(key, value);
return arrayMap;
}
else {
SparseEdgeMap resized = new SparseEdgeMap(this, desiredSize);
System.arraycopy(resized.keys, insertIndex, resized.keys, insertIndex + 1, size() - insertIndex);
resized.keys[insertIndex] = key;
resized.values.add(insertIndex, value);
return resized;
}
}
}
@Override
public SparseEdgeMap remove(int key) {
synchronized (this) {
int index = Arrays.binarySearch(keys, 0, size(), key);
if (index < 0) {
return this;
}
SparseEdgeMap result = new SparseEdgeMap(this, getMaxSparseSize());
System.arraycopy(result.keys, index + 1, result.keys, index, size() - index - 1);
result.values.remove(index);
return result;
}
}
@Override
public AbstractEdgeMap clear() {
if (isEmpty()) {
return this;
}
return new EmptyEdgeMap(minIndex, maxIndex);
}
@Override
public Map toMap() {
if (isEmpty()) {
return Collections.emptyMap();
}
synchronized (this) {
Map result = new LinkedHashMap();
for (int i = 0; i < size(); i++) {
result.put(keys[i], values.get(i));
}
return result;
}
}
@Override
public Set> entrySet() {
return toMap().entrySet();
}
}
© 2015 - 2024 Weber Informatics LLC | Privacy Policy