子图id = 102
0 701 700 675
1 701 700 654
2 637 701 700
3 413 401 443
子图id = 238
4 401 400 443
5 401 400 465
6 290 289 281
7 250 290 281
子图id = 98
8 477 167 165
9 804 803 154
10 133 701 700
index num1 num2 num3
这是数据如何存储在文件中的表示
我想算一下:
1)每个身份有多少尊贵号码
2)每个ID中出现一个数字的次数。
我想将结果保存在列表或地图中,而不是轻易阅读。
像这样:
102:701 | 3 - > 700 | 3 - > 675 | 1 - > 654 | 1 - > 637 | 1 - > 413 | 1 - > 401 | 1 - > 443个| 1个
238:401 | 2 - > 400 | 2 - > 443 | 1 - > 465 | 1 - > 290 | 1 - > 289 | 1 - > 281 | 2 - > 250 | 1 - > 290个| 1个
...
最佳使用结构是什么?
我试过HashMap,但我是新手,并没有成功。
请记住,n | N中的值 N是n出现的次数,并且会多次递增在内在的循环中。
public HashMap<Integer, LinkedList<Tuple>> process()
{
HashMap<Integer, LinkedList<Tuple>> result = new HashMap<>();
String parted_line[] = new String[4];
String line;
int start_index = -1;
int end_index = -1;
int id;
Tuple tupleNew = new Tuple();
Tuple tuple = new Tuple();
LinkedList<Tuple> list;
boolean newT = true;
line = file.readNextLine();
while ( line!= null)
{
if (line.contains("subgraph id =")) {
start_index = line.indexOf('=') + 2;
String subgraph_id = line.substring(start_index);
System.out.println("id:"+subgraph_id);
id=Integer.parseInt(subgraph_id);
line = file.readNextLine();
//first check null then .contains
list= new LinkedList();
while ( line!=null && !line.contains("subgraph id =") )
{
parted_line=line.split("\t");
int i;
for(i=1 ; i<parted_line.length;i++){
System.out.print(parted_line[i]+"\t");
if(list.size()==0){
list.add(new Tuple(Integer.parseInt(parted_line[i]),1));
}else{
int j;
newT=true;
//this part can probably be done better, I used iteration :
for (j=0;j<list.size();j++){
tuple=list.get(j);
if(Integer.parseInt(parted_line[i])==tuple.number){
tuple.repetitions++;
newT=false;
break;
}
}
if(newT){
list.add(new Tuple(Integer.parseInt(parted_line[i]),1));
}
}
}
line = file.readNextLine();
}
System.out.print("\n");
System.out.println(list);
result.put(id, list);
}
}
return result;
}
答案 0 :(得分:0)
你可以做一个HashMap,其键为Integers,值为List of Integers,如下所示:
class Tuple {
Integer number;
Integer repetitions;
}
声明如下:
HashMap<Integer, List<Tuple> map = new HashMap<>();
新值:
Tuple tuple = new Tuple();
tuple.number = <value>;
tuple.repetitions = 1;
map.put(<value>, new LinkedList<>());
map.get(<value>).add(tuple);
现有值:
LinkedList<Tuple> list = map.get(<value>);
Tuple tuple = list.find(<repeated-value>); // You will need to do a equals/hashcode method in Tuple or use another strategy, i think you can do with Stream api too
tuple.repetitions = tuple.repetition + 1;
然后你有了这个HashMap:
<value> -> (<repeated-value>,repetitions) / (<repeated-value2>,repetitions) ...
<value2> -> (<repeated-value>,repetitions) / (<repeated-value2>,repetitions) ...
:d