From 9a496f9fa745c37420c7b009612909354cf4435a Mon Sep 17 00:00:00 2001 From: 13766800364 <13766800364@qq.com> Date: Thu, 9 Oct 2025 16:11:28 +0800 Subject: [PATCH] Add File --- .../gitee/drinkjava2/frog/util/Tree8Util.java | 91 +++++++++++++++++++ 1 file changed, 91 insertions(+) create mode 100644 history/016b_twoinput_unfinish/src/main/java/com/gitee/drinkjava2/frog/util/Tree8Util.java diff --git a/history/016b_twoinput_unfinish/src/main/java/com/gitee/drinkjava2/frog/util/Tree8Util.java b/history/016b_twoinput_unfinish/src/main/java/com/gitee/drinkjava2/frog/util/Tree8Util.java new file mode 100644 index 0000000..a5fde8b --- /dev/null +++ b/history/016b_twoinput_unfinish/src/main/java/com/gitee/drinkjava2/frog/util/Tree8Util.java @@ -0,0 +1,91 @@ +/* Copyright 2018-2020 the original author or authors. + * + * 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.gitee.drinkjava2.frog.util; + +import java.util.List; + +import com.gitee.drinkjava2.frog.Env; + +/** + * Tree8Util used to store a pre-order Traversal tree array to speed + * + * 这里缓存着一个前序排列的八叉树用来在细胞生成时加快速度和简化运算，关于树结构可用深度树数组来表达的知识可以参见这里：https://my.oschina.net/drinkjava2/blog/1818631 + * + * 另一种思路是先把基因按绝对值排序，然后顺着多叉树先序排列的次序依次设每个细胞的黑白，可能速度更快且可以很快发现无效和重复基因，但我没时间按这个思路来优化了，以后有时间做。 + * + * @author Yong Zhu + * @since 1.0 + */ +public class Tree8Util { + + //EIGHT_TREE store a pre-order Traversal tree array + public static final int NODE_QTY = calculateNodeSize(Env.BRAIN_SIZE); + + public static int[][] TREE8 = new int[NODE_QTY][4]; //八叉数用数组表示，第一维是深度树的行号，第二维是一个整数数组,内容是深度树表示的八叉树细胞的size, x, y, z值 + + public static byte[] keep = new byte[NODE_QTY]; //这里临时记录树的敲除记录，大于0的值表示要keep, 小于等于0表示要敲除 + + private static byte[] KEEP0 = new byte[NODE_QTY]; //这里保存初值为0的数组常量，可以用System.arraycopy(KEEP, 0, keep, 0, NODE_QTY)快速清空enable数组 + + public static int keepNodeQTY = NODE_QTY; //这里临时记录需keep的节点总数，好用来继续敲除，初始值是全部节点 + + private static int index = 0; + static { + tree8Split(0, 0, 0, Env.BRAIN_SIZE); + } + + static int calculateNodeSize(int n) {//计算8叉树全展开的总节点数 + if (n == 1) + return 1; + return n * n * n + calculateNodeSize(n / 2); + } + + //if cube can split, then split it to 8 small cubes + private static void tree8Split(int x, int y, int z, int size) {//如立方体可分裂，就继续递归分裂成8个 + TREE8[index++] = new int[]{size, x, y, z}; //这里size类似于深度树中的level，只不过是size从大到小，level是从小到大，原理一样 + if (size == 1) + return; + int half = size / 2;//每个细胞可以分裂成8个size为原来1/2的小细胞 + tree8Split(x, y, z, half); + tree8Split(x + half, y, z, half); + tree8Split(x, y + half, z, half); + tree8Split(x + half, y + half, z, half); + tree8Split(x, y, z + half, half); + tree8Split(x + half, y, z + half, half); + tree8Split(x, y + half, z + half, half); + tree8Split(x + half, y + half, z + half, half); + } + + public static void knockNodesByGene(List gene) {//根据基因，把要敲除的8叉树节点作敲除或保留标记 + System.arraycopy(KEEP0, 0, keep, 0, NODE_QTY);//清空keep数组 + keepNodeQTY = 0; + for (int g : gene) {//g基因，用带符号的8叉数的行号表示，负数表示阴节点要敲除，正数表示是阳节点要保留 + int gLine = Math.abs(g); //基因对应节点的行号 + int size = Tree8Util.TREE8[gLine][0]; //size是基因对应节点的细胞立方体边长 + for (int line = gLine; line < Tree8Util.NODE_QTY; line++) {//从这个g节点开始，往下找节点 + if (line > gLine && Tree8Util.TREE8[line][0] >= size) //如果除了第一个节点外，边长大于等于size，说明节点不是g的子节点，退出 + break; + else {//否则就是g的子节点 + if (g < 0) { //g是阴节点 + if (Tree8Util.keep[line] == 1) //如果是1，表示这个节点将从保留状态转为删除状态 + keepNodeQTY--; + Tree8Util.keep[line] = 0; + } else if (g > 0) { //g是阳节点 + if (Tree8Util.keep[line] == 0) //如果是0，表示这个节点将从删除状态转为保留状态 + keepNodeQTY++; + Tree8Util.keep[line] = 1; + } + } + } + } + } + +}