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/**
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You 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.
*/
/*
Copyright 1999 CERN - European Organization for Nuclear Research.
Permission to use, copy, modify, distribute and sell this software and its documentation for any purpose
is hereby granted without fee, provided that the above copyright notice appear in all copies and
that both that copyright notice and this permission notice appear in supporting documentation.
CERN makes no representations about the suitability of this software for any purpose.
It is provided "as is" without expressed or implied warranty.
*/
package org.apache.mahout.math.set;
import org.apache.mahout.math.PersistentObject;
import org.apache.mahout.math.map.PrimeFinder;
public abstract class AbstractSet extends PersistentObject {
//public static boolean debug = false; // debug only
/** The number of distinct associations in the map; its "size()". */
protected int distinct;
/**
* The table capacity c=table.length always satisfies the invariant c * minLoadFactor <= s <= c *
* maxLoadFactor, where s=size() is the number of associations currently contained. The term "c * minLoadFactor"
* is called the "lowWaterMark", "c * maxLoadFactor" is called the "highWaterMark". In other words, the table capacity
* (and proportionally the memory used by this class) oscillates within these constraints. The terms are precomputed
* and cached to avoid recalculating them each time put(..) or removeKey(...) is called.
*/
protected int lowWaterMark;
protected int highWaterMark;
/** The minimum load factor for the hashtable. */
protected double minLoadFactor;
/** The maximum load factor for the hashtable. */
protected double maxLoadFactor;
// these are public access for unit tests.
public static final int DEFAULT_CAPACITY = 277;
public static final double DEFAULT_MIN_LOAD_FACTOR = 0.2;
public static final double DEFAULT_MAX_LOAD_FACTOR = 0.5;
/**
* Chooses a new prime table capacity optimized for growing that (approximately) satisfies the invariant c *
* minLoadFactor <= size <= c * maxLoadFactor and has at least one FREE slot for the given size.
*/
protected int chooseGrowCapacity(int size, double minLoad, double maxLoad) {
return nextPrime(Math.max(size + 1, (int) ((4 * size / (3 * minLoad + maxLoad)))));
}
/**
* Returns new high water mark threshold based on current capacity and maxLoadFactor.
*
* @return int the new threshold.
*/
protected int chooseHighWaterMark(int capacity, double maxLoad) {
return Math.min(capacity - 2, (int) (capacity * maxLoad)); //makes sure there is always at least one FREE slot
}
/**
* Returns new low water mark threshold based on current capacity and minLoadFactor.
*
* @return int the new threshold.
*/
protected int chooseLowWaterMark(int capacity, double minLoad) {
return (int) (capacity * minLoad);
}
/**
* Chooses a new prime table capacity neither favoring shrinking nor growing, that (approximately) satisfies the
* invariant c * minLoadFactor <= size <= c * maxLoadFactor and has at least one FREE slot for the given
* size.
*/
protected int chooseMeanCapacity(int size, double minLoad, double maxLoad) {
return nextPrime(Math.max(size + 1, (int) ((2 * size / (minLoad + maxLoad)))));
}
/**
* Chooses a new prime table capacity optimized for shrinking that (approximately) satisfies the invariant c *
* minLoadFactor <= size <= c * maxLoadFactor and has at least one FREE slot for the given size.
*/
protected int chooseShrinkCapacity(int size, double minLoad, double maxLoad) {
return nextPrime(Math.max(size + 1, (int) ((4 * size / (minLoad + 3 * maxLoad)))));
}
/** Removes all (key,value) associations from the receiver. */
public abstract void clear();
/**
* Ensures that the receiver can hold at least the specified number of elements without needing to allocate new
* internal memory. If necessary, allocates new internal memory and increases the capacity of the receiver. This
* method never need be called; it is for performance tuning only. Calling this method before put()ing a
* large number of associations boosts performance, because the receiver will grow only once instead of potentially
* many times.
This default implementation does nothing. Override this method if necessary.
*
* @param minCapacity the desired minimum capacity.
*/
public void ensureCapacity(int minCapacity) {
}
/**
* Returns true if the receiver contains no (key,value) associations.
*
* @return true if the receiver contains no (key,value) associations.
*/
public boolean isEmpty() {
return distinct == 0;
}
/**
* Returns a prime number which is >= desiredCapacity and very close to desiredCapacity
* (within 11% if desiredCapacity >= 1000).
*
* @param desiredCapacity the capacity desired by the user.
* @return the capacity which should be used for a hashtable.
*/
protected int nextPrime(int desiredCapacity) {
return PrimeFinder.nextPrime(desiredCapacity);
}
/**
* Initializes the receiver. You will almost certainly need to override this method in subclasses to initialize the
* hash table.
*
* @param initialCapacity the initial capacity of the receiver.
* @param minLoadFactor the minLoadFactor of the receiver.
* @param maxLoadFactor the maxLoadFactor of the receiver.
* @throws IllegalArgumentException if initialCapacity < 0 || (minLoadFactor < 0.0 || minLoadFactor >= 1.0) ||
* (maxLoadFactor <= 0.0 || maxLoadFactor >= 1.0) || (minLoadFactor >=
* maxLoadFactor).
*/
protected void setUp(int initialCapacity, double minLoadFactor, double maxLoadFactor) {
if (initialCapacity < 0) {
throw new IllegalArgumentException("Initial Capacity must not be less than zero: " + initialCapacity);
}
if (minLoadFactor < 0.0 || minLoadFactor >= 1.0) {
throw new IllegalArgumentException("Illegal minLoadFactor: " + minLoadFactor);
}
if (maxLoadFactor <= 0.0 || maxLoadFactor >= 1.0) {
throw new IllegalArgumentException("Illegal maxLoadFactor: " + maxLoadFactor);
}
if (minLoadFactor >= maxLoadFactor) {
throw new IllegalArgumentException(
"Illegal minLoadFactor: " + minLoadFactor + " and maxLoadFactor: " + maxLoadFactor);
}
}
/**
* Returns the number of (key,value) associations currently contained.
*
* @return the number of (key,value) associations currently contained.
*/
public int size() {
return distinct;
}
/**
* Trims the capacity of the receiver to be the receiver's current size. Releases any superfluous internal memory. An
* application can use this operation to minimize the storage of the receiver.
This default implementation does
* nothing. Override this method if necessary.
*/
public void trimToSize() {
}
protected static boolean equalsMindTheNull(Object a, Object b) {
if (a == null && b == null) {
return true;
}
if (a == null || b == null) {
return false;
}
return a.equals(b);
}
}