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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;
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import java.awt.Graphics;
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import java.awt.Image;
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import java.io.FileInputStream;
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import java.util.ArrayList;
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import java.util.List;
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import javax.imageio.ImageIO;
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import com.gitee.drinkjava2.frog.brain.Cell;
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import com.gitee.drinkjava2.frog.brain.CellActions;
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import com.gitee.drinkjava2.frog.brain.Cuboid;
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import com.gitee.drinkjava2.frog.brain.Hole;
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import com.gitee.drinkjava2.frog.brain.Organ;
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import com.gitee.drinkjava2.frog.brain.Photon;
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import com.gitee.drinkjava2.frog.egg.Egg;
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import com.gitee.drinkjava2.frog.objects.Material;
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/**
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* Frog = cells <br/>
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* cells = actions + photons <br/>
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*
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* Frog's name is Sam.
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*
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* 青蛙脑由一个cells三维数组组成，每个cell里可以存在多个行为，行为是由器官决定，同一个细胞可以存在多种行为。光子是信息的载体，永远不停留。
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*
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* @author Yong Zhu
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* @since 1.0
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*/
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public class Frog {// 这个程序大量用到public变量而不是getter/setter，主要是为了编程方便和简洁，但缺点是编程者需要小心维护各个变量
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/** brain cells */
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public Cell[][][] cells;// 一开始不要初始化，只在调用getOrCreateCell方法时才初始化相关维以节约内存
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/** organs */
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public List<Organ> organs = new ArrayList<>();
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public int x; // frog在Env中的x坐标
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public int y; // frog在Env中的y坐标
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public long energy = 10000000; // 青蛙的能量为0则死掉
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public boolean alive = true; // 设为false表示青蛙死掉了，将不参与计算和显示，以节省时间
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public int ateFood = 0;
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static Image frogImg;
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static {
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try {
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frogImg = ImageIO.read(new FileInputStream(Application.CLASSPATH + "frog.png"));
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} catch (Exception e) {
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e.printStackTrace();
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}
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}
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public Frog(int x, int y, Egg egg) {// x, y 是虑拟环境的坐标
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this.x = x;
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this.y = y;
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for (Organ org : egg.organs)
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organs.add(org);
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}
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public void initFrog() {// 仅在测试之前调用这个方法初始化frog以节约内存，测试完成后要清空units释放内存
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try {
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cells = new Cell[Env.FROG_BRAIN_XSIZE][][]; // 为了节约内存，先只初始化三维数组的x维，另两维用到时再分配
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} catch (OutOfMemoryError e) {
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System.out.println("OutOfMemoryError found for frog, force it die.");
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this.alive = false;
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return;
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}
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for (int orgNo = 0; orgNo < organs.size(); orgNo++) {
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organs.get(orgNo).init(this, orgNo);
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}
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}
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/** Find a organ in frog by organ's name */
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@SuppressWarnings("unchecked")
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public <T extends Organ> T findOrganByName(String organName) {// 根据器官名寻找器官，但不是每个器官都有名字
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for (Organ o : organs)
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if (o.organName != null && organName.equalsIgnoreCase(o.organName))
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return (T) o;
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return null;
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}
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/** Set with given activeValue */
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public void setCuboidVales(Cuboid o, boolean active) {// 激活长方体区域内的所有脑区
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if (!alive)
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return;
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for (int x = o.x; x < o.x + o.xe; x++)
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if (cells[x] != null)
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for (int y = o.y; y < o.y + o.ye; y++)
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if (cells[x][y] != null)
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for (int z = o.z; z < o.z + o.ze; z++)
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if (cells[x][y][z] != null)
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getOrCreateCell(x, y, z).hasInput = active;
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}
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private int activeNo = 0;// 每一帧光子只能走一步，用这个来作标记
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public boolean active(Env v) {// 这个active方法在每一步循环都会被调用，是脑思考的最小帧
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activeNo++;
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// 如果能量小于0、出界、与非食物的点重合则判死
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if (!alive || energy < 0 || Env.outsideEnv(x, y) || Env.bricks[x][y] >= Material.KILLFROG) {
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energy -= 100; // 死掉的青蛙也要消耗能量，确保淘汰出局
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alive = false;
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return false;
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}
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energy -= 20;
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for (Organ o : organs)
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o.active(this); // 调用每个器官的active方法， 通常只用于执行器官的外界信息输入、动作输出，脑细胞的遍历不是在这一步
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// 这里是最关键的脑细胞主循环，脑细胞负责捕获和发送光子，光子则沿它的矢量方向每次自动走一格，如果下一格是真空(即cell未初始化）会继续走下去并衰减直到为0(为减少运算)
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for (int i = 0; i < Env.FROG_BRAIN_XSIZE; i++) {
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Env.checkIfPause(this);
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if (cells[i] != null)
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for (int j = 0; j < Env.FROG_BRAIN_YSIZE; j++)
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if (cells[i][j] != null)
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for (int k = 0; k < Env.FROG_BRAIN_ZSIZE; k++) {
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Cell cell = cells[i][j][k];
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if (cell != null)
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CellActions.act(this, activeNo, cell); // 调用每个细胞的act方法
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}
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}
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return alive;
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}
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public void show(Graphics g) {// 显示青蛙的图象
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if (!alive)
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return;
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g.drawImage(frogImg, x - 8, y - 8, 16, 16, null);
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}
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/** Check if cell exist */
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public Cell getCell(int x, int y, int z) {// 返回指定脑ssf坐标的cell ，如果不存在，返回null
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if (cells[x] == null || cells[x][y] == null)
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return null;
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return cells[x][y][z];
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}
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/** Get a cell in position (x,y,z), if not exist, create a new one */
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public Cell getOrCreateCell(int x, int y, int z) {// 获取指定坐标的Cell，如果为空，则在指定位置新建Cell
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if (outBrainBound(x, y, z))
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return null;
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if (cells[x] == null)
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cells[x] = new Cell[Env.FROG_BRAIN_YSIZE][];
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if (cells[x][y] == null)
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cells[x][y] = new Cell[Env.FROG_BRAIN_ZSIZE];
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Cell cell = cells[x][y][z];
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if (cell == null) {
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cell = new Cell(x, y, z);
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cells[x][y][z] = cell;
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}
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return cell;
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}
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/** Check if x,y,z out of frog's brain bound */
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public static boolean outBrainBound(int x, int y, int z) {// 检查指定坐标是否超出frog脑空间界限
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return x < 0 || x >= Env.FROG_BRAIN_XSIZE || y < 0 || y >= Env.FROG_BRAIN_YSIZE || z < 0
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|| z >= Env.FROG_BRAIN_ZSIZE;
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}
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/** Photon always walk */
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public void addAndWalk(Photon p) { // 添加光子的同时让它沿光子方向自动走一格
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p.x += p.mx;
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p.y += p.my;
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p.z += p.mz;
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int rx = Math.round(p.x);
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int ry = Math.round(p.y);
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int rz = Math.round(p.z);
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if (Frog.outBrainBound(rx, ry, rz))
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return;// 出界直接扔掉
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Cell cell = getCell(rx, ry, rz);
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if (cell != null)
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cell.addPhoton(p);
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}
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/** Photon always walk */
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public void addAndWalkAndDig(Photon p) { // 添加光子的同时让它沿光子方向自动走一格
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p.x += p.mx;
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p.y += p.my;
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p.z += p.mz;
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int rx = Math.round(p.x);
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int ry = Math.round(p.y);
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int rz = Math.round(p.z);
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if (Frog.outBrainBound(rx, ry, rz))
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return;// 出界直接扔掉
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Cell cell = getCell(rx, ry, rz);
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if (cell != null) {
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cell.addPhoton(p);
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cell.digHole(p);
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}
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}
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// for test purpose, reset some values for prepare next training.
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public void prepareNewTraining() {
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for (int i = 0; i < Env.FROG_BRAIN_XSIZE; i++) {
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if (cells[i] != null)
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for (int j = 0; j < Env.FROG_BRAIN_YSIZE; j++)
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if (cells[i][j] != null)
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for (int k = 0; k < Env.FROG_BRAIN_ZSIZE; k++) {
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Cell cell = cells[i][j][k];
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if (cell != null) {
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cell.deleteAllPhotons();
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cell.hasInput = false;
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cell.photonSum = 0;
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if (cell.holes != null)
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for (Hole h : cell.holes) {
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h.age += 100;// 强迫洞的年龄增加,用这个方法来区分开不同批次的训练
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}
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}
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}
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}
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}
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}
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