以下解决方案基于使用 Stream API
miss计算每个列表值中元素的频率maps并将频率收集到某个对象(例如列表)中
- 按频率倒序对新对象排序,然后按初始映射的键(注意:键可能需要转换为 int 以提供预期的输出:1、4、11;比较键为 String 返回订单 1, 11, 4 )
Collectors.toMap使用LinkedHashMap::new供应商构建生成的地图
List<String> miss = List.of("3", "7");
Map<String, List<String>> maps = Map.of(
"1", List.of("0", "3", "6"),
"4", List.of("2", "3", "4"),
"6", List.of("0", "3", "7"),
"11", List.of("1", "3", "6"),
"17", List.of("2", "6", "11")
);
Map<String, List<String>> sorted = maps.entrySet()
.stream()
.map(e -> Arrays.asList(e,
e.getValue().stream()
.mapToInt(i -> (int) miss.stream().filter(i::equals).count())
.sum()
))
.sorted(Comparator
.<List>comparingInt(ee -> (int) ee.get(1)).reversed()
.thenComparingInt(ee -> Integer.parseInt(((Map.Entry<String, List<String>>) ee.get(0)).getKey()))
)
.map(ee -> (Map.Entry<String, List<String>>) ee.get(0))
.collect(Collectors.toMap(
Map.Entry::getKey,
Map.Entry::getValue,
(v1, v2) -> v1,
LinkedHashMap::new
));
System.out.println(sorted);
输出:
{6=[0, 3, 7], 1=[0, 3, 6], 4=[2, 3, 4], 11=[1, 3, 6], 17=[2, 6, 11]}