You are given a 0-indexed positive integer array nums
and a positive integer k
.
A pair of numbers (num1, num2)
is called excellent if the following conditions are satisfied:
- Both the numbers
num1
andnum2
exist in the arraynums
. - The sum of the number of set bits in
num1 OR num2
andnum1 AND num2
is greater than or equal tok
, whereOR
is the bitwise OR operation andAND
is the bitwise AND operation.
Return the number of distinct excellent pairs.
Two pairs (a, b)
and (c, d)
are considered distinct if either a != c
or b != d
. For example, (1, 2)
and (2, 1)
are distinct.
Note that a pair (num1, num2)
such that num1 == num2
can also be excellent if you have at least one occurrence of num1
in the array.
Example 1:
Input: nums = [1,2,3,1], k = 3 Output: 5 Explanation: The excellent pairs are the following: - (3, 3). (3 AND 3) and (3 OR 3) are both equal to (11) in binary. The total number of set bits is 2 + 2 = 4, which is greater than or equal to k = 3. - (2, 3) and (3, 2). (2 AND 3) is equal to (10) in binary, and (2 OR 3) is equal to (11) in binary. The total number of set bits is 1 + 2 = 3. - (1, 3) and (3, 1). (1 AND 3) is equal to (01) in binary, and (1 OR 3) is equal to (11) in binary. The total number of set bits is 1 + 2 = 3. So the number of excellent pairs is 5.
Example 2:
Input: nums = [5,1,1], k = 10 Output: 0 Explanation: There are no excellent pairs for this array.
Constraints:
1 <= nums.length <= 105
1 <= nums[i] <= 109
1 <= k <= 60
Companies: epiFi
Related Topics:
Array, Hash Table, Binary Search, Bit Manipulation
Similar Questions:
The inclusion-exclusion principle:
So,
The sum of the number of set bits in (num1 OR num2) and (num1 AND num2) is equal to the sum of the number of set bits in num1 and num2.
// OJ: https://leetcode.com/problems/number-of-excellent-pairs
// Author: github.com/lzl124631x
// Time: O(N)
// Space: O(N)
class Solution {
public:
long long countExcellentPairs(vector<int>& A, int k) {
unordered_set<int> s(begin(A), end(A));
long long ans = 0, cnt[32] = {};
for (int n : s) {
int bits = __builtin_popcount(n), goal = max(0, k - bits);
for (int i = goal; i < 32; ++i) ans += cnt[i] * 2;
if (bits >= goal) ans++;
cnt[bits]++;
}
return ans;
}
};