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_260.java
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_260.java
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package com.fishercoder.solutions;
import java.util.HashMap;
import java.util.Map;
/**
* 260. Single Number III
*
* Given an array of numbers nums,
* in which exactly two elements appear only once and all the other elements appear exactly twice.
* Find the two elements that appear only once.
For example:
Given nums = [1, 2, 1, 3, 2, 5], return [3, 5].
Note:
The order of the result is not important. So in the above example, [5, 3] is also correct.
Your algorithm should run in linear runtime complexity. Could you implement it using only constant space complexity?
*/
public class _260 {
public static class Solution1 {
public int[] singleNumber(int[] nums) {
Map<Integer, Integer> map = new HashMap();
for (int i : nums) {
map.put(i, map.getOrDefault(i, 0) + 1);
}
int[] res = new int[2];
int index = 0;
for (int key : map.keySet()) {
if (map.get(key) == 1) {
res[index++] = key;
}
if (index == 2) {
break;
}
}
return res;
}
}
public static class Solution2 {
/**Credit: https://discuss.leetcode.com/topic/21605/accepted-c-java-o-n-time-o-1-space-easy-solution-with-detail-explanations/2
*
* some more explanation about this algorithm:
* two's complement: one number's two's complement number is computed as below:
* reverse all bits of this number and then add one:
* e.g. decimal number 2, in binary format: 0010 (4 bits)
* reversing every single bit becomes 1101,
* then add 1 to it, it becomes 1110
*
* so
* num &= -num, in this case, 2 &= -2 becomes 2
* */
public int[] singleNumber(int[] nums) {
int diff = 0;
for (int num : nums) {
diff ^= num;
}
//get least significant set bit
diff &= -diff;
int[] result = new int[2];
for (int num : nums) {
if ((num & diff) == 0) {
result[0] ^= num;
} else {
result[1] ^= num;
}
}
return result;
}
}
}