Comparator

Comparator is an interface, we can override the compare method to customize our sorting

对于数组、链表、堆等结构,标准库中排序方法,往往是对于基本类型的升序排序,有的时候,不一定能满足我们的要求。例如我们有一些特殊的顺序要求,或待排序的对象类型不是基本类型。此时,就需用到自定义排序。自定义排序可以用在很多地方,比如数组排序,堆的排序规则等。Java实现自定义排序,主要有两种方法:

1.实现Comparable接口:

Interval区间为例,在定义该类时,让其实现Comparable,并重写其中的compareTo方法,使得Interval类可以进行大小比较,这样也可实现自定义的排序:

class Interval implements Comparable<Interval> {
    int left, right;
    Interval(int left, int right) {
        this.left = left;
        this.right = right;
    }

    @Override
    public int compareTo(Interval o) {
        return this.left - o.left;
    }
}

这样,在其他地方就可以直接对Interval对象的大小进行比较。完整的测试方法如下:

import java.util.ArrayList;
import java.util.List;
import static java.util.Collections.sort;

// Interval类如上

public class Main {
    public static void main(String[] args) {
        List<Interval> A = new ArrayList<>();
        A.add(new Interval(1, 7));
        A.add(new Interval(5, 6));
        A.add(new Interval(3, 4));
        System.out.println("Before sort:");
        for (Interval i : A)
            System.out.println("(" + i.left + ", " + i.right + ")");

        sort(A);
        System.out.println("After sort:");
        for (Interval i : A)
            System.out.println("(" + i.left + ", " + i.right + ")");
    }
}

输出可以自行观察,不再赘述。

2.定义比较类:

该方法定义一个新的比较类,使其继承自Comparator,并完善其中的compare()方法。在调用时,使用该比较类进行比较。仍以Interval为例:

class Interval { // 注意,这里没有继承自Comparable
    int left, right;
    Interval(int left, int right) {
        this.left = left;
        this.right = right;
    }
}

class MyCmp implements Comparator<Interval> {
    @Override
    public int compare(Interval o1, Interval o2) {
        return o1.left - o2.left;
    }
}

要对List<Interval> A进行排序时,调用如下方法,填入一个比较类的对象即可:

A.sort(new MyCmp());
/**
 * Definition for a Connection.
 * public class Connection {
 *   public String city1, city2;
 *   public int cost;
 *   public Connection(String city1, String city2, int cost) {
 *       this.city1 = city1;
 *       this.city2 = city2;
 *       this.cost = cost;
 *   }
 * }
 */

Collections.sort(connections, new Comparator<Connection>() {
    public int compare(Connection a, Connection b) {
        if (a.cost != b.cost) {
            return a.cost - b.cost;
        }
        if (!a.city1.equals(b.city1)) {
            return a.city1.compareTo(b.city1);
        }
        return a.city2.compareTo(b.city2);
    }
});

原生数组

public int[][] multiSort(int[][] array) {
    // Write your code here
    Arrays.sort(array, new Comparator<int[]>() {
        public int compare(int[] l, int[] r) {
            if (l[1] != r[1]) {
                return r[1] - l[1];
            }
            return l[0] - r[0];
        }
    });
    return array;
}

Coding Problem

Description

Give a new alphabet, such as {c,b,a,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z}. Sort the string array according to the new alphabet

Given Alphabet ={c,b,a,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z}, String array ={cab,cba,abc}, return{cba,cab,abc}.

Explanation:
According to the new dictionary order, output the sorted result {cba, cab, abc}.

Given Alphabet ={z,b,a,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,c}, String array ={bca,czb,za,zba,ade}, return{zba,za,bca,ade,czb}.

Explanation:
According to the new dictionary order, output the sorted result {zba,za,bca,ade,czb}.
public class Solution {
    /**
     * @param alphabet: the new alphabet
     * @param words: the original string array
     * @return: the string array after sorting
     */
    public String[] wordSort(char[] alphabet, String[] words) {
        // Write your code here
        Arrays.sort(words, new WordComparator(alphabet));

        return words;
    }

    class WordComparator implements Comparator<String> {
        Map<Character, Integer> map = new HashMap<>();
        public WordComparator(char[] alphabet) {
            for (int i = 0; i < alphabet.length; i++) {
                map.put(alphabet[i], i);
            }
        }

        public int compare(String a, String b) {
            int minLen = Math.min(a.length(), b.length());
            for (int i = 0; i < minLen; i++) {
                int aValue = map.get(a.charAt(i));
                int bValue = map.get(b.charAt(i));
                if (aValue == bValue) {
                    continue;
                } else {
                    return aValue - bValue;
                }
            }

            return a.length() - b.length();
        }
    }
}

Sort by Frequency:

import java.util.*; 

public class GFG { 

    // Driver Code 
    public static void main(String[] args) 
    { 

        // Declare and Initialize an array 
        int[] array = { 4, 4, 2, 2, 2, 2, 3, 3, 1, 1, 6, 7, 5 }; 

        Map<Integer, Integer> map = new HashMap<>(); 
        List<Integer> outputArray = new ArrayList<>(); 

        // Assign elements and their count in the list and map 
        for (int current : array) { 
            int count = map.getOrDefault(current, 0); 
            map.put(current, count + 1); 
            outputArray.add(current); 
        } 

        // Compare the map by value 
        SortComparator comp = new SortComparator(map); 

        // Sort the map using Collections CLass 
        Collections.sort(outputArray, comp); 

        // Final Output 
        for (Integer i : outputArray) { 
            System.out.print(i + " "); 
        } 
    } 
} 

// Implement Comparator Interface to sort the values 
class SortComparator implements Comparator<Integer> { 
    private final Map<Integer, Integer> freqMap; 

    // Assign the specified map 
    SortComparator(Map<Integer, Integer> tFreqMap) 
    { 
        this.freqMap = tFreqMap; 
    } 

    // Compare the values 
    @Override
    public int compare(Integer k1, Integer k2) 
    { 

        // Compare value by frequency 
        int freqCompare = freqMap.get(k2).compareTo(freqMap.get(k1)); 

        // Compare value if frequency is equal 
        int valueCompare = k1.compareTo(k2); 

        // If frequency is equal, then just compare by value, otherwise - 
        // compare by the frequency. 
        if (freqCompare == 0) 
            return valueCompare; 
        else
            return freqCompare; 
    } 
}

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