/*******************************************************************************
* 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.glview.libgdx.graphics.utils;
import java.util.Comparator;
import com.glview.exception.GLViewRuntimeException;
/**
* This class is for selecting a ranked element (kth ordered statistic) from
* an unordered list in faster time than sorting the whole array.
* Typical applications include finding the nearest enemy unit(s), and other
* operations which are likely to run as often as every x frames.
* Certain values of k will result in a partial sorting of the Array.
* <p>The lowest ranking element starts at 1, not 0. 1 = first, 2 = second, 3 = third, etc.
* calling with a value of zero will result in a {@link GdxRuntimeException} </p>
* <p> This class uses very minimal extra memory, as it makes no copies of the array.
* The underlying algorithms used are a naive single-pass for k=min and k=max, and Hoare's
* quickselect for values in between. </p>
* @author Jon Renner
*/
public class Select {
private static Select instance;
private QuickSelect quickSelect;
/** Provided for convenience */
public static Select instance() {
if (instance == null) instance = new Select();
return instance;
}
public <T> T select (T[] items, Comparator<T> comp, int kthLowest, int size) {
int idx = selectIndex(items, comp, kthLowest, size);
return items[idx];
}
public <T> int selectIndex(T[] items, Comparator<T> comp, int kthLowest, int size) {
if (size < 1) {
throw new GLViewRuntimeException("cannot select from empty array (size < 1)");
} else if (kthLowest > size) {
throw new GLViewRuntimeException("Kth rank is larger than size. k: " + kthLowest + ", size: " + size);
}
int idx;
// naive partial selection sort almost certain to outperform quickselect where n is min or max
if (kthLowest == 1) {
// find min
idx = fastMin(items, comp, size);
} else if (kthLowest == size) {
// find max
idx = fastMax(items, comp, size);
} else {
// quickselect a better choice for cases of k between min and max
if (quickSelect == null) quickSelect = new QuickSelect();
idx = quickSelect.select(items, comp, kthLowest, size);
}
return idx;
}
/** Faster than quickselect for n = min */
private <T> int fastMin(T[] items, Comparator<T> comp, int size) {
int lowestIdx = 0;
for (int i = 1; i < size; i++) {
int comparison = comp.compare(items[i], items[lowestIdx]);
if (comparison < 0) {
lowestIdx = i;
}
}
return lowestIdx;
}
/** Faster than quickselect for n = max */
private <T> int fastMax(T[] items, Comparator<T> comp, int size) {
int highestIdx = 0;
for (int i = 1; i < size; i++) {
int comparison = comp.compare(items[i], items[highestIdx]);
if (comparison > 0) {
highestIdx = i;
}
}
return highestIdx;
}
}