Total Accepted: 49927
Total Submissions: 104463
Difficulty: Medium
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?
**/*
* 假定这两数为a和b。做法分两步走,第一步用xor 求出a和b的xor -diff,然后求diff & 它的二补数,得到a和b的不同位。
接着把数组根据 diff & num == 0 分成两个group,分别对两个group进行xor,得到最终a和b
* In the first pass, we XOR all elements in the array, and get the XOR of
* the two numbers we need to find. Note that since the two numbers are
* distinct, so there must be a set bit (that is, the bit with value '1') in
* the XOR result. Find out an arbitrary set bit (for example, the rightmost
* set bit).
*
* In the second pass, we divide all numbers into two groups, one with the
* aforementioned bit set, another with the aforementinoed bit unset. Two
* different numbers we need to find must fall into the two distrinct
* groups. XOR numbers in each group, we can find a number in either group.
*
* Complexity:
*
* Time: O (n)
*
* Space: O (1)
*
* A Corner Case:
*
* When diff == numeric_limits<int>::min(), -diff is also
* numeric_limits<int>::min(). Therefore, the value of diff after executing
* diff &= -diff is still numeric_limits<int>::min(). The answer is still
* correct.
* https://discuss.leetcode.com/topic/21605/accepted-c-java-o-n-time-o-1-space-easy-solution-with-detail-explanations
*/
public int[] singleNumber(int[] nums) {
// Pass 1 :
// Get the XOR of the two numbers we need to find
int diff = 0;
for (int num : nums) {
diff ^= num;
}
// System.out.println(diff); // ( diff = 8 ^ 4 = 12, 1100)
// Get its last set bit
diff &= -diff; // -diff 是diff的二补数 0011 + 1 = 0100 = 4; 12 &=4 -> 4
// https://en.wikipedia.org/wiki/Two%27s_complement
//System.out.println(diff);
// Pass 2 :
int[] rets = { 0, 0 }; // this array stores the two numbers we will
// return
for (int num : nums) {
if ((num & diff) == 0) // the bit is not set
{
rets[0] ^= num;
} else // the bit is set
{
rets[1] ^= num;
}
}
return rets;
}
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