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Subsets.java
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package com.fishercoder.solutions;
import com.fishercoder.common.utils.CommonUtils;
import java.util.ArrayList;
import java.util.List;
/** Given a set of distinct integers, nums, return all possible subsets.
Note: The solution set must not contain duplicate subsets.
For example,
If nums = [1,2,3], a solution is:
[
[3],
[1],
[2],
[1,2,3],
[1,3],
[2,3],
[1,2],
[]
]
*/
public class Subsets {
public static void main(String...strings){
// int[] nums = new int[]{1,2,3};
int[] nums = new int[]{1,2,2};
List<List<Integer>> result = subsets_backtracking(nums);
CommonUtils.printIntegerList(result);
}
public static List<List<Integer>> subsets(int[] nums) {
List<List<Integer>> result = new ArrayList();
List<Integer> empty = new ArrayList();
result.add(empty);
if(nums == null) return result;
for(int i = 0; i < nums.length; i++){
List<List<Integer>> temp = new ArrayList();//you'll have to create a new one here, otherwise, it'll throw ConcurrentModificationException.
for(List<Integer> list : result){
List<Integer> newList = new ArrayList(list);
newList.add(nums[i]);
temp.add(newList);
}
result.addAll(temp);
}
return result;
}
/**this post: https://discuss.leetcode.com/topic/46159/a-general-approach-to-backtracking-questions-in-java-subsets-permutations-combination-sum-palindrome-partitioning
* is really cool!*/
public static List<List<Integer>> subsets_backtracking(int[] nums) {
List<List<Integer>> result = new ArrayList();
backtracking(result, new ArrayList(), nums, 0);
return result;
}
private static void backtracking(List<List<Integer>> result, List<Integer> temp, int[] nums, int start) {
//ATTN: you'll have to make a new list here before entering the for loop
result.add(new ArrayList(temp));
for(int i = start; i < nums.length; i++){
if(i != start && nums[i] == nums[i-1]) continue;//add this line here to skip duplicates for Subsets II
temp.add(nums[i]);
backtracking(result, temp, nums, i+1);
temp.remove(temp.size()-1);
}
}
}