Converted ShatteredPD to Build from Gradle
Major Changes: - Shattered now builds effortlessly either from gradle CLI or android studio - Much better dependency management through gradle (although it's not really used atm) - Separate PD-classes repo is now SPD-classes module within main repo
This commit is contained in:
154
SPD-classes/src/main/java/com/watabou/utils/Random.java
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154
SPD-classes/src/main/java/com/watabou/utils/Random.java
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/*
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* Pixel Dungeon
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* Copyright (C) 2012-2015 Oleg Dolya
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*
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* Shattered Pixel Dungeon
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* Copyright (C) 2014-2016 Evan Debenham
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*
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* This program is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program. If not, see <http://www.gnu.org/licenses/>
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*/
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package com.watabou.utils;
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import java.util.Collection;
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import java.util.HashMap;
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public class Random {
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public static float Float( float min, float max ) {
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return (float)(min + Math.random() * (max - min));
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}
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public static float Float( float max ) {
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return (float)(Math.random() * max);
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}
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public static float Float() {
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return (float)Math.random();
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}
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public static int Int( int max ) {
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return max > 0 ? (int)(Math.random() * max) : 0;
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}
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public static int Int( int min, int max ) {
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return min + (int)(Math.random() * (max - min));
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}
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public static int IntRange( int min, int max ) {
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return min + (int)(Math.random() * (max - min + 1));
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}
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public static int NormalIntRange( int min, int max ) {
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return min + (int)((Math.random() + Math.random()) * (max - min + 1) / 2f);
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}
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public static int chances( float[] chances ) {
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int length = chances.length;
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float sum = 0;
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for (int i=0; i < length; i++) {
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sum += chances[i];
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}
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float value = Float( sum );
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sum = 0;
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for (int i=0; i < length; i++) {
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sum += chances[i];
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if (value < sum) {
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return i;
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}
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}
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return -1;
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}
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@SuppressWarnings("unchecked")
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public static <K> K chances( HashMap<K,Float> chances ) {
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int size = chances.size();
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Object[] values = chances.keySet().toArray();
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float[] probs = new float[size];
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float sum = 0;
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for (int i=0; i < size; i++) {
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probs[i] = chances.get( values[i] );
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sum += probs[i];
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}
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float value = Float( sum );
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sum = probs[0];
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for (int i=0; i < size; i++) {
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if (value < sum) {
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return (K)values[i];
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}
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sum += probs[i + 1];
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}
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return null;
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}
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public static int index( Collection<?> collection ) {
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return (int)(Math.random() * collection.size());
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}
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@SafeVarargs
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public static<T> T oneOf( T... array ) {
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return array[(int)(Math.random() * array.length)];
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}
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public static<T> T element( T[] array ) {
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return element( array, array.length );
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}
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public static<T> T element( T[] array, int max ) {
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return array[(int)(Math.random() * max)];
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}
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@SuppressWarnings("unchecked")
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public static<T> T element( Collection<? extends T> collection ) {
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int size = collection.size();
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return size > 0 ?
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(T)collection.toArray()[Int( size )] :
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null;
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}
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public static<T> void shuffle( T[] array ) {
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for (int i=0; i < array.length - 1; i++) {
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int j = Int( i, array.length );
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if (j != i) {
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T t = array[i];
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array[i] = array[j];
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array[j] = t;
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}
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}
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}
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public static<U,V> void shuffle( U[] u, V[]v ) {
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for (int i=0; i < u.length - 1; i++) {
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int j = Int( i, u.length );
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if (j != i) {
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U ut = u[i];
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u[i] = u[j];
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u[j] = ut;
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V vt = v[i];
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v[i] = v[j];
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v[j] = vt;
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}
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}
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}
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}
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