com.badlogic.gdx.utils.ObjectFloatMap Maven / Gradle / Ivy
/*******************************************************************************
* Copyright 2011 See AUTHORS file.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
******************************************************************************/
package com.badlogic.gdx.utils;
import java.util.Arrays;
import java.util.Iterator;
import java.util.NoSuchElementException;
import static com.badlogic.gdx.utils.ObjectSet.tableSize;
/** An unordered map where the keys are objects and the values are unboxed floats. Null keys are not allowed. No allocation is
* done except when growing the table size.
*
* This class performs fast contains and remove (typically O(1), worst case O(n) but that is rare in practice). Add may be
* slightly slower, depending on hash collisions. Hashcodes are rehashed to reduce collisions and the need to resize. Load factors
* greater than 0.91 greatly increase the chances to resize to the next higher POT size.
*
* Unordered sets and maps are not designed to provide especially fast iteration. Iteration is faster with OrderedSet and
* OrderedMap.
*
* This implementation uses linear probing with the backward shift algorithm for removal. Hashcodes are rehashed using Fibonacci
* hashing, instead of the more common power-of-two mask, to better distribute poor hashCodes (see Malte
* Skarupke's blog post). Linear probing continues to work even when all hashCodes collide, just more slowly.
* @author Nathan Sweet
* @author Tommy Ettinger */
public class ObjectFloatMap implements Iterable> {
public int size;
K[] keyTable;
float[] valueTable;
float loadFactor;
int threshold;
/** Used by {@link #place(Object)} to bit shift the upper bits of a {@code long} into a usable range (>= 0 and <=
* {@link #mask}). The shift can be negative, which is convenient to match the number of bits in mask: if mask is a 7-bit
* number, a shift of -7 shifts the upper 7 bits into the lowest 7 positions. This class sets the shift > 32 and < 64,
* which if used with an int will still move the upper bits of an int to the lower bits due to Java's implicit modulus on
* shifts.
*
* {@link #mask} can also be used to mask the low bits of a number, which may be faster for some hashcodes, if
* {@link #place(Object)} is overridden. */
protected int shift;
/** A bitmask used to confine hashcodes to the size of the table. Must be all 1 bits in its low positions, ie a power of two
* minus 1. If {@link #place(Object)} is overriden, this can be used instead of {@link #shift} to isolate usable bits of a
* hash. */
protected int mask;
Entries entries1, entries2;
Values values1, values2;
Keys keys1, keys2;
/** Creates a new map with an initial capacity of 51 and a load factor of 0.8. */
public ObjectFloatMap () {
this(51, 0.8f);
}
/** Creates a new map with a load factor of 0.8.
* @param initialCapacity If not a power of two, it is increased to the next nearest power of two. */
public ObjectFloatMap (int initialCapacity) {
this(initialCapacity, 0.8f);
}
/** Creates a new map with the specified initial capacity and load factor. This map will hold initialCapacity items before
* growing the backing table.
* @param initialCapacity If not a power of two, it is increased to the next nearest power of two. */
public ObjectFloatMap (int initialCapacity, float loadFactor) {
if (loadFactor <= 0f || loadFactor >= 1f)
throw new IllegalArgumentException("loadFactor must be > 0 and < 1: " + loadFactor);
this.loadFactor = loadFactor;
int tableSize = tableSize(initialCapacity, loadFactor);
threshold = (int)(tableSize * loadFactor);
mask = tableSize - 1;
shift = Long.numberOfLeadingZeros(mask);
keyTable = (K[])new Object[tableSize];
valueTable = new float[tableSize];
}
/** Creates a new map identical to the specified map. */
public ObjectFloatMap (ObjectFloatMap map) {
this((int)Math.floor(map.keyTable.length * map.loadFactor), map.loadFactor);
System.arraycopy(map.keyTable, 0, keyTable, 0, map.keyTable.length);
System.arraycopy(map.valueTable, 0, valueTable, 0, map.valueTable.length);
size = map.size;
}
/** Returns an index >= 0 and <= {@link #mask} for the specified {@code item}.
*
* The default implementation uses Fibonacci hashing on the item's {@link Object#hashCode()}: the hashcode is multiplied by a
* long constant (2 to the 64th, divided by the golden ratio) then the uppermost bits are shifted into the lowest positions to
* obtain an index in the desired range. Multiplication by a long may be slower than int (eg on GWT) but greatly improves
* rehashing, allowing even very poor hashcodes, such as those that only differ in their upper bits, to be used without high
* collision rates. Fibonacci hashing has increased collision rates when all or most hashcodes are multiples of larger
* Fibonacci numbers (see Malte
* Skarupke's blog post).
*
* This method can be overriden to customizing hashing. This may be useful eg in the unlikely event that most hashcodes are
* Fibonacci numbers, if keys provide poor or incorrect hashcodes, or to simplify hashing if keys provide high quality
* hashcodes and don't need Fibonacci hashing: {@code return item.hashCode() & mask;} */
protected int place (K item) {
return (int)(item.hashCode() * 0x9E3779B97F4A7C15L >>> shift);
}
/** Returns the index of the key if already present, else -(index + 1) for the next empty index. This can be overridden in this
* pacakge to compare for equality differently than {@link Object#equals(Object)}. */
int locateKey (K key) {
if (key == null) throw new IllegalArgumentException("key cannot be null.");
K[] keyTable = this.keyTable;
for (int i = place(key);; i = i + 1 & mask) {
K other = keyTable[i];
if (other == null) return -(i + 1); // Empty space is available.
if (other.equals(key)) return i; // Same key was found.
}
}
public void put (K key, float value) {
int i = locateKey(key);
if (i >= 0) { // Existing key was found.
valueTable[i] = value;
return;
}
i = -(i + 1); // Empty space was found.
keyTable[i] = key;
valueTable[i] = value;
if (++size >= threshold) resize(keyTable.length << 1);
}
/** Returns the old value associated with the specified key, or the specified default value.
* @param defaultValue {@link Float#NaN} can be used for a value unlikely to be in the map. */
public float put (K key, float value, float defaultValue) {
int i = locateKey(key);
if (i >= 0) { // Existing key was found.
float oldValue = valueTable[i];
valueTable[i] = value;
return oldValue;
}
i = -(i + 1); // Empty space was found.
keyTable[i] = key;
valueTable[i] = value;
if (++size >= threshold) resize(keyTable.length << 1);
return defaultValue;
}
public void putAll (ObjectFloatMap map) {
ensureCapacity(map.size);
K[] keyTable = map.keyTable;
float[] valueTable = map.valueTable;
K key;
for (int i = 0, n = keyTable.length; i < n; i++) {
key = keyTable[i];
if (key != null) put(key, valueTable[i]);
}
}
/** Skips checks for existing keys, doesn't increment size. */
private void putResize (K key, float value) {
K[] keyTable = this.keyTable;
for (int i = place(key);; i = (i + 1) & mask) {
if (keyTable[i] == null) {
keyTable[i] = key;
valueTable[i] = value;
return;
}
}
}
/** Returns the value for the specified key, or the default value if the key is not in the map.
* @param defaultValue {@link Float#NaN} can be used for a value unlikely to be in the map. */
public float get (K key, float defaultValue) {
int i = locateKey(key);
return i < 0 ? defaultValue : valueTable[i];
}
/** Returns the key's current value and increments the stored value. If the key is not in the map, defaultValue + increment is
* put into the map and defaultValue is returned. */
public float getAndIncrement (K key, float defaultValue, float increment) {
int i = locateKey(key);
if (i >= 0) { // Existing key was found.
float oldValue = valueTable[i];
valueTable[i] += increment;
return oldValue;
}
i = -(i + 1); // Empty space was found.
keyTable[i] = key;
valueTable[i] = defaultValue + increment;
if (++size >= threshold) resize(keyTable.length << 1);
return defaultValue;
}
/** Returns the value for the removed key, or the default value if the key is not in the map.
* @param defaultValue {@link Float#NaN} can be used for a value unlikely to be in the map. */
public float remove (K key, float defaultValue) {
int i = locateKey(key);
if (i < 0) return defaultValue;
K[] keyTable = this.keyTable;
float[] valueTable = this.valueTable;
float oldValue = valueTable[i];
int mask = this.mask, next = i + 1 & mask;
while ((key = keyTable[next]) != null) {
int placement = place(key);
if ((next - placement & mask) > (i - placement & mask)) {
keyTable[i] = key;
valueTable[i] = valueTable[next];
i = next;
}
next = next + 1 & mask;
}
keyTable[i] = null;
size--;
return oldValue;
}
/** Returns true if the map has one or more items. */
public boolean notEmpty () {
return size > 0;
}
/** Returns true if the map is empty. */
public boolean isEmpty () {
return size == 0;
}
/** Reduces the size of the backing arrays to be the specified capacity / loadFactor, or less. If the capacity is already less,
* nothing is done. If the map contains more items than the specified capacity, the next highest power of two capacity is used
* instead. */
public void shrink (int maximumCapacity) {
if (maximumCapacity < 0) throw new IllegalArgumentException("maximumCapacity must be >= 0: " + maximumCapacity);
int tableSize = tableSize(maximumCapacity, loadFactor);
if (keyTable.length > tableSize) resize(tableSize);
}
/** Clears the map and reduces the size of the backing arrays to be the specified capacity / loadFactor, if they are larger. */
public void clear (int maximumCapacity) {
int tableSize = tableSize(maximumCapacity, loadFactor);
if (keyTable.length <= tableSize) {
clear();
return;
}
size = 0;
resize(tableSize);
}
public void clear () {
if (size == 0) return;
size = 0;
Arrays.fill(keyTable, null);
}
/** Returns true if the specified value is in the map. Note this traverses the entire map and compares every value, which may
* be an expensive operation. */
public boolean containsValue (float value) {
K[] keyTable = this.keyTable;
float[] valueTable = this.valueTable;
for (int i = valueTable.length - 1; i >= 0; i--)
if (keyTable[i] != null && valueTable[i] == value) return true;
return false;
}
/** Returns true if the specified value is in the map. Note this traverses the entire map and compares every value, which may
* be an expensive operation. */
public boolean containsValue (float value, float epsilon) {
K[] keyTable = this.keyTable;
float[] valueTable = this.valueTable;
for (int i = valueTable.length - 1; i >= 0; i--)
if (keyTable[i] != null && Math.abs(valueTable[i] - value) <= epsilon) return true;
return false;
}
public boolean containsKey (K key) {
return locateKey(key) >= 0;
}
/** Returns the key for the specified value, or null if it is not in the map. Note this traverses the entire map and compares
* every value, which may be an expensive operation. */
public @Null K findKey (float value) {
K[] keyTable = this.keyTable;
float[] valueTable = this.valueTable;
for (int i = valueTable.length - 1; i >= 0; i--) {
K key = keyTable[i];
if (key != null && valueTable[i] == value) return key;
}
return null;
}
/** Returns the key for the specified value, or null if it is not in the map. Note this traverses the entire map and compares
* every value, which may be an expensive operation. */
public @Null K findKey (float value, float epsilon) {
K[] keyTable = this.keyTable;
float[] valueTable = this.valueTable;
for (int i = valueTable.length - 1; i >= 0; i--) {
K key = keyTable[i];
if (key != null && Math.abs(valueTable[i] - value) <= epsilon) return key;
}
return null;
}
/** Increases the size of the backing array to accommodate the specified number of additional items / loadFactor. Useful before
* adding many items to avoid multiple backing array resizes. */
public void ensureCapacity (int additionalCapacity) {
int tableSize = tableSize(size + additionalCapacity, loadFactor);
if (keyTable.length < tableSize) resize(tableSize);
}
final void resize (int newSize) {
int oldCapacity = keyTable.length;
threshold = (int)(newSize * loadFactor);
mask = newSize - 1;
shift = Long.numberOfLeadingZeros(mask);
K[] oldKeyTable = keyTable;
float[] oldValueTable = valueTable;
keyTable = (K[])new Object[newSize];
valueTable = new float[newSize];
if (size > 0) {
for (int i = 0; i < oldCapacity; i++) {
K key = oldKeyTable[i];
if (key != null) putResize(key, oldValueTable[i]);
}
}
}
public int hashCode () {
int h = size;
K[] keyTable = this.keyTable;
float[] valueTable = this.valueTable;
for (int i = 0, n = keyTable.length; i < n; i++) {
K key = keyTable[i];
if (key != null) h += key.hashCode() + NumberUtils.floatToRawIntBits(valueTable[i]);
}
return h;
}
public boolean equals (Object obj) {
if (obj == this) return true;
if (!(obj instanceof ObjectFloatMap)) return false;
ObjectFloatMap other = (ObjectFloatMap)obj;
if (other.size != size) return false;
K[] keyTable = this.keyTable;
float[] valueTable = this.valueTable;
for (int i = 0, n = keyTable.length; i < n; i++) {
K key = keyTable[i];
if (key != null) {
float otherValue = other.get(key, 0);
if (otherValue == 0 && !other.containsKey(key)) return false;
if (otherValue != valueTable[i]) return false;
}
}
return true;
}
public String toString (String separator) {
return toString(separator, false);
}
public String toString () {
return toString(", ", true);
}
private String toString (String separator, boolean braces) {
if (size == 0) return braces ? "{}" : "";
java.lang.StringBuilder buffer = new java.lang.StringBuilder(32);
if (braces) buffer.append('{');
K[] keyTable = this.keyTable;
float[] valueTable = this.valueTable;
int i = keyTable.length;
while (i-- > 0) {
K key = keyTable[i];
if (key == null) continue;
buffer.append(key);
buffer.append('=');
buffer.append(valueTable[i]);
break;
}
while (i-- > 0) {
K key = keyTable[i];
if (key == null) continue;
buffer.append(separator);
buffer.append(key);
buffer.append('=');
buffer.append(valueTable[i]);
}
if (braces) buffer.append('}');
return buffer.toString();
}
public Entries iterator () {
return entries();
}
/** Returns an iterator for the entries in the map. Remove is supported.
*
* If {@link Collections#allocateIterators} is false, the same iterator instance is returned each time this method is called.
* Use the {@link Entries} constructor for nested or multithreaded iteration. */
public Entries entries () {
if (Collections.allocateIterators) return new Entries(this);
if (entries1 == null) {
entries1 = new Entries(this);
entries2 = new Entries(this);
}
if (!entries1.valid) {
entries1.reset();
entries1.valid = true;
entries2.valid = false;
return entries1;
}
entries2.reset();
entries2.valid = true;
entries1.valid = false;
return entries2;
}
/** Returns an iterator for the values in the map. Remove is supported.
*
* If {@link Collections#allocateIterators} is false, the same iterator instance is returned each time this method is called.
* Use the {@link Values} constructor for nested or multithreaded iteration. */
public Values values () {
if (Collections.allocateIterators) return new Values(this);
if (values1 == null) {
values1 = new Values(this);
values2 = new Values(this);
}
if (!values1.valid) {
values1.reset();
values1.valid = true;
values2.valid = false;
return values1;
}
values2.reset();
values2.valid = true;
values1.valid = false;
return values2;
}
/** Returns an iterator for the keys in the map. Remove is supported.
*
* If {@link Collections#allocateIterators} is false, the same iterator instance is returned each time this method is called.
* Use the {@link Keys} constructor for nested or multithreaded iteration. */
public Keys keys () {
if (Collections.allocateIterators) return new Keys(this);
if (keys1 == null) {
keys1 = new Keys(this);
keys2 = new Keys(this);
}
if (!keys1.valid) {
keys1.reset();
keys1.valid = true;
keys2.valid = false;
return keys1;
}
keys2.reset();
keys2.valid = true;
keys1.valid = false;
return keys2;
}
static public class Entry {
public K key;
public float value;
public String toString () {
return key + "=" + value;
}
}
static private class MapIterator {
public boolean hasNext;
final ObjectFloatMap map;
int nextIndex, currentIndex;
boolean valid = true;
public MapIterator (ObjectFloatMap map) {
this.map = map;
reset();
}
public void reset () {
currentIndex = -1;
nextIndex = -1;
findNextIndex();
}
void findNextIndex () {
K[] keyTable = map.keyTable;
for (int n = keyTable.length; ++nextIndex < n;) {
if (keyTable[nextIndex] != null) {
hasNext = true;
return;
}
}
hasNext = false;
}
public void remove () {
int i = currentIndex;
if (i < 0) throw new IllegalStateException("next must be called before remove.");
K[] keyTable = map.keyTable;
float[] valueTable = map.valueTable;
int mask = map.mask, next = i + 1 & mask;
K key;
while ((key = keyTable[next]) != null) {
int placement = map.place(key);
if ((next - placement & mask) > (i - placement & mask)) {
keyTable[i] = key;
valueTable[i] = valueTable[next];
i = next;
}
next = next + 1 & mask;
}
keyTable[i] = null;
map.size--;
if (i != currentIndex) --nextIndex;
currentIndex = -1;
}
}
static public class Entries extends MapIterator implements Iterable>, Iterator> {
Entry entry = new Entry();
public Entries (ObjectFloatMap map) {
super(map);
}
/** Note the same entry instance is returned each time this method is called. */
public Entry next () {
if (!hasNext) throw new NoSuchElementException();
if (!valid) throw new GdxRuntimeException("#iterator() cannot be used nested.");
K[] keyTable = map.keyTable;
entry.key = keyTable[nextIndex];
entry.value = map.valueTable[nextIndex];
currentIndex = nextIndex;
findNextIndex();
return entry;
}
public boolean hasNext () {
if (!valid) throw new GdxRuntimeException("#iterator() cannot be used nested.");
return hasNext;
}
public Entries iterator () {
return this;
}
}
static public class Values extends MapIterator