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前前后后提交了五次,终于拿到了满分!
总的来说,需要注意的是Timing和Backwash的问题。
Timing:PercolationStats.java里StdRandom.mean()和StdRandom.stddev()都只能调用一次;Percolation.java里实现numberOfOpenSites时切记不能使用循环累加,定义一个私有属性来计数即可;实现open()时相邻的四个sites位置直接加减n或1即可。
Backwash:实现isFull()时需要另外实例化一个不包含最下端虚拟节点的WeightedQuickUnionUF,可以解决Test 13: check for backwash with predetermined sites,Test 14: check for backwash with predetermined sites that have multiple percolating paths和Test 15: call all methods in random order until all sites are open, allowing isOpen() to be called on a site more than once三项测试无法通过的问题。
Backwash问题是指因为虚拟底部结点的存在,导致底部任一结点渗漏成功的话底部所有结点都会认为渗漏成功。原因是通过底部虚拟结点形成了回流。从而导致isFull()方法出错。
实现代码如下:
Percolation.java
import edu.princeton.cs.algs4.WeightedQuickUnionUF;public class Percolation { private boolean[] op; // true=open while false=blocked private int side; // number of rows or columns private int numOp; // number of open sites private WeightedQuickUnionUF uf; private WeightedQuickUnionUF ufTop; public Percolation(int n) { if(n <= 0) throw new IllegalArgumentException("Input should be positif!\n"); this.side = n; this.op = new boolean[n*n+2]; // with 2 virtual sites this.uf = new WeightedQuickUnionUF(n*n+2); this.ufTop = new WeightedQuickUnionUF(n*n+1); // with only the upper virtual site for(int i=1; ithis.side || col < 1 || col > this.side){ throw new IllegalArgumentException("Index out of bounds!\n"); } } // get position of sites in 3 arrays: op, uf.parent & uf.size private int getPosition(int row, int col){ return (row - 1) * this.side + col; } private void union(int aPos, int bPos, WeightedQuickUnionUF wq){ if(!wq.connected(aPos, bPos)){ wq.union(aPos, bPos); } } private boolean isOpen(int pos){ return op[pos]; } public void open(int row, int col) { checkBounds(row, col); if(isOpen(row, col)) return; int pos = getPosition(row, col); op[pos] = true; numOp++; // positions of adjacent sites int rowPrev = pos - side, rowNext = pos + side, colPrev = pos - 1, colNext = pos + 1; // try connect the adjacent open sites if(row == 1){ union(0, pos, uf); union(0, pos, ufTop); }else if(isOpen(rowPrev)){ union(rowPrev, pos, uf); union(rowPrev, pos, ufTop); } if(row == side){ union(side * side + 1, pos, uf); }else if(isOpen(rowNext)){ union(rowNext, pos, uf); union(rowNext, pos, ufTop); } if(col != 1 && isOpen(colPrev)) { union(colPrev, pos, uf); union(colPrev, pos, ufTop); } if(col != side && isOpen(colNext)) { union(colNext, pos, uf); union(colNext, pos, ufTop); } } public boolean isOpen(int row, int col) { checkBounds(row, col); return isOpen(getPosition(row, col)); } /** * check for backwash with predetermined sites that have multiple percolating paths * in this case ufTop should be used instead of uf * @param row * @param col * @return */ public boolean isFull(int row, int col) { checkBounds(row, col); //return uf.connected(0, getPosition(row, col)); -> didn't pass the test! return ufTop.connected(0, getPosition(row, col)); } // should pass the timing check public int numberOfOpenSites(){ return this.numOp; } public boolean percolates(){ return uf.connected(0, side * side + 1); }}
PercolationStats.java
import edu.princeton.cs.algs4.StdIn;import edu.princeton.cs.algs4.StdOut;import edu.princeton.cs.algs4.StdRandom;import edu.princeton.cs.algs4.StdStats;import edu.princeton.cs.algs4.Stopwatch;public class PercolationStats { private double[] results; // estimated threshold for each trial private double avg; private double std; public PercolationStats(int n, int trials){ if(n <= 0 || trials <= 0) throw new IllegalArgumentException(); results = new double[trials]; for(int i = 0; i < trials; i++){ int step = 0; Percolation pr = new Percolation(n); while(!pr.percolates()){ int row = StdRandom.uniform(n) + 1; int col = StdRandom.uniform(n) + 1; if(!pr.isOpen(row, col)){ pr.open(row, col); step++; } } results[i] = (double)step / (n * n); } this.avg = StdStats.mean(results); this.std = StdStats.stddev(results); } public static void main(String[] args){ StdOut.printf("%-25s\n", "Please input 2 integers"); int N = StdIn.readInt(); int T = StdIn.readInt(); Stopwatch wt = new Stopwatch(); PercolationStats ps = new PercolationStats(N, T); // elapsed CPU time in seconds double elapsed = wt.elapsedTime(); StdOut.printf("%-25s= %.15f\n", "elapsed CPU time", elapsed); StdOut.printf("%-25s= %.7f\n", "mean", ps.mean()); StdOut.printf("%-25s= %.17f\n", "stddev", ps.stddev()); StdOut.printf("%-25s= [%.15f, %.15f]\n", "%95 confidence interval", ps.confidenceLo(), ps.confidenceHi()); } public double mean(){ return this.avg; } public double stddev(){ return this.std; } public double confidenceLo(){ return mean() - 1.96 * stddev() / Math.sqrt(results.length); } public double confidenceHi(){ return mean() + 1.96 * stddev() / Math.sqrt(results.length); }}
Reference: http://blog.evernightfireworks.com/princeton_algorithms_percolation/
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