按照权重2,8给用户分组为A,B,
treeMap是一种基于红黑树实现的有序映射表,提供了一系列的方法来操作映射表中的元素。其中tailMap方法是用于返回映射表中大于或等于给定键的部分视图。
tailMap方法的定义如下:
public NavigableMap<K,V> tailMap(K fromKey, boolean inclusive) {
return new AscendingSubMap<>(this,
false, fromKey, inclusive,
true, null, true);
}
其中,fromKey表示起始键,返回一个从fromKey开始到映射表末尾的部分视图。inclusive是表示是否包含传入的fronKey.这个部分视图是SortedMap类型的,可以进行排序操作。
使用tailMap方法需要注意以下几点:
下面是一个示例代码:
import java.util.TreeMap;
import java.util.SortedMap;
public class TreeMapExample {
public static void main(String[] args) {
TreeMap<Integer, String> treeMap = new TreeMap<>();
treeMap.put(1, "one");
treeMap.put(2, "two");
treeMap.put(3, "three");
treeMap.put(4, "four");
treeMap.put(5, "five");
// 返回大于等于3的部分视图
SortedMap<Integer, String> tailMap = treeMap.tailMap(3);
System.out.println(tailMap); // 输出 {3=three, 4=four, 5=five}
// 修改部分视图
tailMap.put(6, "six");
System.out.println(treeMap); // 输出 {1=one, 2=two, 3=three, 4=four, 5=five, 6=six}
// 对部分视图进行排序
SortedMap<Integer, String> sortedTailMap = tailMap.descendingMap();
System.out.println(sortedTailMap); // 输出 {6=six, 5=five, 4=four, 3=three}
}
}
在上面的示例代码中,首先创建了一个treeMap对象,并向其中添加了5个键值对。然后使用tailMap方法返回了大于等于3的部分视图,并对这个部分视图进行了修改和排序操作。
tailMap方法是Java中treeMap类提供的一个非常有用的方法,可以方便地获取映射表中大于等于指定键的部分视图,并进行排序和修改操作。
针对这个特性可以用来获取权重值
好比A:B的权重为2:8,那么相当于A的权重为0->2,B的权重为2->10(2+8)都是包左不包右的;
那我们就可以随机个0-10的值,如果在0->2那么返回A,如果2->10那就返回B
public static String test1() {
Random random = new Random();
int i = random.nextInt(10);
if (i < 2) {
return "A";
} else if (i >= 2 && i < 10) {
return "B";
} else {
return "C";
}
}
public static String test2() {
TreeMap<Integer, String> treeMap = new TreeMap<>();
int total = 2 + 8;
treeMap.put(2, "A");
treeMap.put(total, "B");
Random random = new Random();
return treeMap.tailMap(random.nextInt(total), false).firstEntry().getValue();
}
public static String test3() {
TreeMap<Double, String> treeMap = new TreeMap<>();
int total = 2 + 8;
treeMap.put((double) 2, "A");
treeMap.put((double) total, "B");
Random random = new Random();
return treeMap.tailMap(total * random.nextDouble(), false).firstEntry().getValue();
}
package com.study.springbootplus.test;
import cn.hutool.core.lang.WeightRandom;
import cn.hutool.core.util.NumberUtil;
import cn.hutool.core.util.RandomUtil;
import java.util.ArrayList;
import java.util.List;
import java.util.Random;
import java.util.TreeMap;
/**
* @ClassName RandomTest
* @Author yida
* @Date 2023-09-14 18:26
* @Description RandomTest
*/
public class RandomTest {
public static void main(String[] args) {
int num_a = 0, num_b = 0, num_c = 0;
int testCount = 1000;
for (int i = 0; i < testCount; i++) {
switch (test3()) {
case "A":
num_a = num_a + 1;
break;
case "B":
num_b = num_b + 1;
break;
case "C":
num_c = num_c + 1;
break;
}
}
System.out.println("A-" + num_a + "-------" + NumberUtil.div(num_a, testCount, 2) * 100 + "%");
System.out.println("B-" + num_b + "-------" + NumberUtil.div(num_b, testCount, 2) * 100 + "%");
System.out.println("C-" + num_c + "-------" + NumberUtil.div(num_c, testCount, 2) * 100 + "%");
}
public static String test1() {
Random random = new Random();
int i = random.nextInt(10);
if (i < 2) {
return "A";
} else if (i >= 2 && i < 10) {
return "B";
} else {
return "C";
}
}
public static String test2() {
TreeMap<Integer, String> treeMap = new TreeMap<>();
int total = 2 + 8;
treeMap.put(2, "A");
treeMap.put(total, "B");
Random random = new Random();
return treeMap.tailMap(random.nextInt(total), false).firstEntry().getValue();
}
public static String test3() {
TreeMap<Double, String> treeMap = new TreeMap<>();
int total = 2 + 8;
treeMap.put((double) 2, "A");
treeMap.put((double) total, "B");
Random random = new Random();
return treeMap.tailMap(total * random.nextDouble(), false).firstEntry().getValue();
}
public static void test() {
List<WeightRandom.WeightObj<String>> weightList = new ArrayList<>();
weightList.add(new WeightRandom.WeightObj<>("A", 20));
weightList.add(new WeightRandom.WeightObj<>("B", 30));
weightList.add(new WeightRandom.WeightObj<>("C", 40));
weightList.add(new WeightRandom.WeightObj<>("D", 10));
WeightRandom<String> wr = RandomUtil.weightRandom(weightList);
String str = "";
int num_a = 0, num_b = 0, num_c = 0, num_d = 0;
int testCount = 10000;
for (int i = 0; i < testCount; i++) {
str = wr.next();
switch (str) {
case "A":
num_a = num_a + 1;
break;
case "B":
num_b = num_b + 1;
break;
case "C":
num_c = num_c + 1;
break;
case "D":
num_d = num_d + 1;
break;
}
}
System.out.println("A-" + num_a + "-------" + NumberUtil.div(num_a, testCount, 2) * 100 + "%");
System.out.println("B-" + num_b + "-------" + NumberUtil.div(num_b, testCount, 2) * 100 + "%");
System.out.println("C-" + num_c + "-------" + NumberUtil.div(num_c, testCount, 2) * 100 + "%");
System.out.println("D-" + num_d + "-------" + NumberUtil.div(num_d, testCount, 2) * 100 + "%");
}
}
测试结果:
A-195-------20.0%
B-805-------81.0%
C-0-------0.0%
如果测试基数越大,则越准确