Problem Description
You are given an array nums where each number appears either once or twice. The goal is to return the bitwise XOR of all the numbers that appear twice in the array. If no number appears twice, return 0.
Key Insights
- The input array contains numbers that appear once or twice, so no number appears more than twice.
- We can leverage a frequency count (using a hash table) to identify numbers which appear exactly twice.
- Once identified, compute the XOR of these numbers.
- XOR has the property that a XOR b is computed bitwise and order does not matter.
Space and Time Complexity
Time Complexity: O(n), where n is the length of the nums array since we iterate through the array to build the frequency count and iterate over the frequency dictionary. Space Complexity: O(n) in the worst case for the frequency count (although n is small as per constraints).
Solution
We first traverse the given array and record the frequency of each number using a hash table (or dictionary). Then, we iterate over the entries in the hash table and for every number that appears exactly twice, we apply the XOR operation with an accumulating result. If no number appears twice, our accumulator remains 0. This method efficiently identifies the required numbers and computes the final XOR with a simple and clear two-pass approach over the data.