我正在尝试在Java8中编写FizzBuzz问题。它工作正常,我得到了理想的输出。对于可以被" 3"整除的数字,它应该返回" Fizz",对于可以被" 5"整除的数字,它应该返回" Buzz" ;对于可被两者整除的数字,它应该返回" FizzBuzz"。
如果我将值传递给" 15"它返回:
["1","2","Fizz","4","Buzz","Fizz","7","8","Fizz","Buzz","11","Fizz","13","14","FizzBuzz"]
现在,我陷入了困境。如果我将值传递为" 15":
,我想获得如下输出{"Fizz": [3, 6, 9, 12],"Buzz": [5, 10],"FizzBuzz": [15]}
我想通过Fizz,Buzz和FizzBuzz对这些数字进行分组。
这是我的代码:
public class FizzBuzzService {
private Map<Rule, String> ruleContainers = new HashMap();
private Set<Rule> rules = new HashSet();
public FizzBuzzService(){
addRule(i -> i % 15 == 0, "FizzBuzz");
addRule(i -> i % 3 == 0, "Fizz");
addRule(i -> i % 5 == 0, "Buzz");
}
public void addRule(Rule rule, String res) {
rules.add(rule);
ruleContainers.put(rule, res);
}
public String getValue(int i) {
for (Rule rule : rules) {
if (rule.apply(i)) {
return ruleContainers.get(rule);
}
}
return String.valueOf(i);
}
//then the origin code should be as follows:
public List<String> fizzBuzz(int n) {
List<String> res = new ArrayList();
for(int i = 1; i <= n; i++){
res.add(getValue(i));
}
return res;
}
interface Rule{
boolean apply(int i);
}
}
如果有人能指导我,我真的很感激。感谢
答案 0 :(得分:3)
这是使用流做的一种方法:
Map<String, List<String>> result = IntStream.rangeClosed(1, n)
.filter(i -> i % 3 == 0 || i % 5 == 0)
.boxed()
.collect(Collectors.groupingBy(i ->
i % 15 == 0 ? "FizzBuzz" :
i % 3 == 0 ? "Fizz" :
"Buzz"));
没有溪流:
Map<String, List<String>> result = new HashMap<>();
for (int i = 0; i < n; i++) {
if (i % 3 == 0 || i % 5 == 0) {
String key = i % 15 == 0 ? "FizzBuzz" :
i % 3 == 0 ? "Fizz" :
"Buzz";
result.computeIfAbsent(key, k -> new ArrayList<>()).add(i);
}
}
答案 1 :(得分:2)
我会返回Map<String, List<Integer>>
(使用LinkedHashMap
代替HashMap
,并且您的密钥将保留广告订单)为{{1}创建List<Integer>
(s) },fizz
和buzz
值。它可以在一个fizzbuzz
方法中完成,例如,
static
答案 2 :(得分:1)
PagingList
答案 3 :(得分:0)
第1步:在号码上应用规则。
第2步:查找第一个匹配规则。
第3步:过滤未与任何规则匹配的元素。
第4步:按规则分组KeyWord
public static void main(String[] args) {
FizzBuzzService();
Map<String, List<Integer>> fizzBuzzMap = IntStream.range(1, 31)
.mapToObj(number->applRule(number))
.filter(obj ->obj!=null)
.collect(Collectors.groupingBy(Entry::getKey,Collectors.mapping(Entry::getValue, Collectors.toList())));
System.out.println("FizzBuzzMap : " + fizzBuzzMap);
}
private static SimpleEntry<String, Integer> applRule(Integer number) {
Optional<Entry<Rule, String>> findFirst = ruleContainers.entrySet()
.stream()
.filter(rule -> rule.getKey().apply(number))
.findFirst();
if (findFirst.isPresent()) {
System.out.println("Number : " + number + " First Matching Rule : " +findFirst.get().getValue());
return new SimpleEntry<>(findFirst.get().getValue(), number);
}
return null;
}
}
public static void FizzBuzzService(){
addRule(i -> i % 3 == 0, "Fizz");
addRule(i -> i % 5 == 0, "Buzz");
addRule(i -> i % 15 == 0, "FizzBuzz");
}
输出:
Number : 3 First Matching Rule : Fizz
Number : 5 First Matching Rule : Buzz
Number : 6 First Matching Rule : Fizz
Number : 9 First Matching Rule : Fizz
Number : 10 First Matching Rule : Buzz
Number : 12 First Matching Rule : Fizz
Number : 15 First Matching Rule : FizzBuzz
Number : 18 First Matching Rule : Fizz
Number : 20 First Matching Rule : Buzz
Number : 21 First Matching Rule : Fizz
Number : 24 First Matching Rule : Fizz
Number : 25 First Matching Rule : Buzz
Number : 27 First Matching Rule : Fizz
Number : 30 First Matching Rule : FizzBuzz
FizzBuzzMap : {FizzBuzz=[15, 30], Fizz=[3, 6, 9, 12, 18, 21, 24, 27], Buzz=[5, 10, 20, 25]}