/**
* Copyright 2010-2013 Jingjing Li.
*
* This file is part of jplot2d.
*
* jplot2d is free software: you can redistribute it and/or modify it
* under the terms of the GNU Lesser General Public License as
* published by the Free Software Foundation, either version 3 of the
* License, or any later version.
*
* jplot2d is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
* See the GNU General Lesser Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with jplot2d. If not, see .
*/
package org.jplot2d.util;
/**
* SparseArrays map integers to Objects. Unlike a normal array of Objects, there can be gaps in the indices. It is
* intended to be more efficient than using a HashMap to map Integers to Objects.
*/
public class SparseArray implements Cloneable {
private static final Object DELETED = new Object();
private boolean mGarbage = false;
private int[] mKeys;
private Object[] mValues;
private int mSize;
/**
* Creates a new SparseArray containing no mappings.
*/
public SparseArray() {
this(10);
}
/**
* Creates a new SparseArray containing no mappings that will not require any additional memory allocation to store
* the specified number of mappings.
*/
public SparseArray(int initialCapacity) {
initialCapacity = idealIntArraySize(initialCapacity);
mKeys = new int[initialCapacity];
mValues = new Object[initialCapacity];
mSize = 0;
}
protected SparseArray(SparseArray sa) {
mSize = sa.mSize;
mGarbage = sa.mGarbage;
mKeys = mKeys.clone();
mValues = mValues.clone();
}
public SparseArray copy() {
return new SparseArray(this);
}
/**
* Gets the Object mapped from the specified key, or null if no such mapping has been made.
*/
@SuppressWarnings("unchecked")
public E get(int key) {
int i = binarySearch(mKeys, 0, mSize, key);
if (i < 0 || mValues[i] == DELETED) {
return null;
} else {
return (E) mValues[i];
}
}
/**
* Removes the mapping from the specified key, if there was any.
*/
public void remove(int key) {
int i = binarySearch(mKeys, 0, mSize, key);
if (i >= 0) {
if (mValues[i] != DELETED) {
mValues[i] = DELETED;
mGarbage = true;
}
}
}
private void gc() {
int n = mSize;
int o = 0;
int[] keys = mKeys;
Object[] values = mValues;
for (int i = 0; i < n; i++) {
Object val = values[i];
if (val != DELETED) {
if (i != o) {
keys[o] = keys[i];
values[o] = val;
values[i] = null;
}
o++;
}
}
mGarbage = false;
mSize = o;
}
/**
* Adds a mapping from the specified key to the specified value, replacing the previous mapping from the specified
* key if there was one.
*/
public void put(int key, E value) {
int i = binarySearch(mKeys, 0, mSize, key);
if (i >= 0) {
mValues[i] = value;
} else {
i = ~i;
if (i < mSize && mValues[i] == DELETED) {
mKeys[i] = key;
mValues[i] = value;
return;
}
if (mGarbage && mSize >= mKeys.length) {
gc();
// Search again because indices may have changed.
i = ~binarySearch(mKeys, 0, mSize, key);
}
if (mSize >= mKeys.length) {
int n = idealIntArraySize(mSize + 1);
int[] nkeys = new int[n];
Object[] nvalues = new Object[n];
// Log.e("SparseArray", "grow " + mKeys.length + " to " + n);
System.arraycopy(mKeys, 0, nkeys, 0, mKeys.length);
System.arraycopy(mValues, 0, nvalues, 0, mValues.length);
mKeys = nkeys;
mValues = nvalues;
}
if (mSize - i != 0) {
// Log.e("SparseArray", "move " + (mSize - i));
System.arraycopy(mKeys, i, mKeys, i + 1, mSize - i);
System.arraycopy(mValues, i, mValues, i + 1, mSize - i);
}
mKeys[i] = key;
mValues[i] = value;
mSize++;
}
}
/**
* Returns the number of key-value mappings that this SparseArray currently stores.
*/
public int size() {
if (mGarbage) {
gc();
}
return mSize;
}
/**
* Removes all key-value mappings from this SparseArray.
*/
public void clear() {
int n = mSize;
Object[] values = mValues;
for (int i = 0; i < n; i++) {
values[i] = null;
}
mSize = 0;
mGarbage = false;
}
private static int binarySearch(int[] a, int start, int len, int key) {
int high = start + len, low = start - 1, guess;
while (high - low > 1) {
guess = (high + low) / 2;
if (a[guess] < key)
low = guess;
else
high = guess;
}
if (high == start + len)
return ~(start + len);
else if (a[high] == key)
return high;
else
return ~high;
}
private static int idealIntArraySize(int need) {
for (int i = 4; i < 32; i++) {
if (need <= (1 << i) - 3) {
return (1 << i) - 3;
}
}
return need;
}
}
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