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/*
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* Copyright 2018 the original author or authors.
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* Licensed under the Apache License, Version 2.0 (the "License"); you may not
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* use this file except in compliance with the License. You may obtain a copy of
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* the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by
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* applicable law or agreed to in writing, software distributed under the
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* License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS
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* OF ANY KIND, either express or implied. See the License for the specific
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* language governing permissions and limitations under the License.
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*/
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package com.gitee.drinkjava2.frog.brain;
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import java.util.ArrayList;
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import com.gitee.drinkjava2.frog.Animal;
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import com.gitee.drinkjava2.frog.Env;
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/**
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* Genes代表不同的脑细胞参数,对应每个参数,用8叉/4叉/2叉树算法给每个细胞添加细胞参数和行为。
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* 每个脑细胞用一个long来存储,所以目前最多允许64个基因位,
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* 多字节参数可以由多个基因位决定。每个基因位都由一个单独的阴阳8/4/2叉树控制,多个基因就组成了一个8/4/2叉树阵列 基因+分裂算法=结构
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* 基因+分裂算法+遗传算法=结构的进化
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*
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* 这个类里定义每个基因位的掩码以及对应基因的细胞行为, 脑结构的所有参数,都要用基因来控制。开始时可以有常量、魔数,但以后都放到基因里去自动进化。
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*
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* @author Yong Zhu
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* @since 10.0
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*/
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@SuppressWarnings("all")
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public class Genes { // Genes登记所有的基因, 指定每个基因允许分布的空间范围。注意登录完后还要并针对每个基因在active方法里写出它对应的细胞行为
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public static int GENE_MAX = 64; // 目前最多允许64个基因
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public static int GENE_NUMBERS = 0; // 这里统计定义了多少个基因
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private static int zeros = 0; // 当前基因位掩码0个数
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public static boolean[] display_gene = new boolean[GENE_MAX]; // 如果这个参数为真,此基因显示在脑图上
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public static boolean[] fill_gene = new boolean[GENE_MAX]; // 如果这个参数为真,此基因填充指定的区域,而不是由分裂算法随机生成
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public static int[] xLimit = new int[GENE_MAX]; // 用来手工限定基因分布范围,详见register方法
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public static int[] yLimit = new int[GENE_MAX];
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public static int[] zLimit = new int[GENE_MAX];
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public static ArrayList<Object[]> dots = new ArrayList<>(); // 临时,如果登录的范围是个三座标点,把它放在这里,以方便随机连线只落在登记的细胞上
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/**
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* Register a gene 依次从底位到高位登记所有的基因掩码及对应的相关参数
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*
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* @param name
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* 基因的名字,这个可选, 缺省为null
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* @param maskBits
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* how many mask bits 掩码位数,即有几个1
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* @param display
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* whether to display the gene on the BrainPicture 是否显示在脑图
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* @param fill
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* whether to fill to specified 3D/2D/1D/1Point area
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* 是否直接用此基因填充指定的区域,区域可以是三维、二维、线状及一个点
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* @param x_limit
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* gene only allow on specified x layer 如x_layer大于-1,且y_layer=-1,
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* 表示只生成在指定的x层对应的yz平面上,这时采用4叉树而不是8叉树以提高进化速度
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* @param y_limit
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* gene only allow on specified x, y axis
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* 如大于-1,表示只生成在指定的x,y坐标对应的z轴上,这时采用2叉阴阳树算法
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* @param z_limit
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* gene only allow on specified x, y, z 点上, 表示手工指定基因位于x,y,z坐标点上
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* @return a long wtih mask bits
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* 返回基因掩码,高位由maskBits个1组成,低位是若干个0,以后判断一个cell上是否含有这个基因,只需要用cell对应的long和这个
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* 掩码做与运算即可
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*/
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public static long register(String name, int maskBits, boolean display, boolean fill, int x_limit, int y_limit, int z_limit) {
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if (x_limit > -1 && y_limit > -1 && z_limit > -1) {// 临时,如果登录的范围是个三座标点,把它放在这里,以方便随机连线只落在登记的细胞上
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dots.add(new Object[] {name, x_limit, y_limit, z_limit });
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}
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for (int i = GENE_NUMBERS; i < GENE_NUMBERS + maskBits; i++) {
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display_gene[i] = display;
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fill_gene[i] = fill;
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xLimit[i] = x_limit;
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yLimit[i] = y_limit;
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zLimit[i] = z_limit;
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}
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String one = "";
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String zero = "";
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for (int i = 1; i <= maskBits; i++)
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one += "1";
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for (int i = 1; i <= GENE_NUMBERS; i++)
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zero += "0";
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zeros = GENE_NUMBERS;
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GENE_NUMBERS += maskBits;
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if (GENE_NUMBERS >= GENE_MAX) {//
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System.out.println("目前基因位数不能超过" + GENE_MAX);
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System.exit(-1);
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}
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return Long.parseLong(one + zero, 2); // 将类似"111000"这种字符串转换为长整
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}
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public static long register(int... pos) {// 登记并指定基因允许分布的位置
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return register(null, 1, true, false, pos[0], pos[1], pos[2]);
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}
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public static long registerFill(int... pos) {// 登记并手工指定基因填满的位置
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return register(null, 1, true, true, pos[0], pos[1], pos[2]);
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}
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public static long registerFill(String name, int... pos) {// 登记并手工指定基因填满的位置
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return register(name, 1, true, true, pos[0], pos[1], pos[2]);
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}
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public static boolean hasGene(long cell, long geneMask) { // 判断cell是否含某个基因
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return (cell & geneMask) > 0;
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}
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private static final int NA = -1;
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private static final int CS4 = Env.BRAIN_SIZE / 4;
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// ============开始登记有名字的基因==========
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public static int[] EYE1_POS = new int[] { 0, 0, 1 };
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public static long EYE1 = registerFill("眼1", EYE1_POS); // 视网膜细胞
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//
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public static int[] EYE2_POS = new int[] { 0, 0, 0 };
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public static long EYE2 = registerFill("眼2", EYE2_POS); // 视网膜细胞
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public static int[] SWEET_POS = new int[] { 0, 2, 0 };
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public static long SWEET = registerFill("甜", SWEET_POS); // 甜味细胞
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public static int[] BITTER_POS = new int[] { 0, 2, 1 };
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public static long BITTER = registerFill("苦", BITTER_POS); // 苦味细胞
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public static int[] BITE_POS = new int[] { 0, 3, 3 };
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public static long BITE = registerFill("咬", BITE_POS); // 咬动作细胞
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public static int[] ACT_POS = new int[] { 0, 1, 3 };
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public static long ACT = registerFill("活", ACT_POS); // 活跃细胞,这个始终激活 `
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// 登记细胞间关联(触突树突)
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static {
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registerFill("空1", 1,1,0); //随便登记几个空细胞,万一能用上呢
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registerFill("空2", 1,1,1); //
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registerFill("空3", 1,1,2); //
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registerFill("空4", 1,1,3); //
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// register(8, true, false, 0, NA, NA); //8个方向的信号发送联接
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}
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// ========= active方法在每个主循环都会调用,用来存放细胞的行为,这是个重要方法 ===========
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//但是本版本因为没用到分裂算法,所以这个方法体为空
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public static void active(Animal a, int step) {
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}
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}
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