2044. Count Number of Maximum Bitwise-OR Subsets
Description
Given an integer array nums
, find the maximum possible bitwise OR of a subset of nums
and return the number of different non-empty subsets with the maximum bitwise OR.
An array a
is a subset of an array b
if a
can be obtained from b
by deleting some (possibly zero) elements of b
. Two subsets are considered different if the indices of the elements chosen are different.
The bitwise OR of an array a
is equal to a[0] OR a[1] OR ... OR a[a.length - 1]
(0-indexed).
Example 1:
Input: nums = [3,1] Output: 2 Explanation: The maximum possible bitwise OR of a subset is 3. There are 2 subsets with a bitwise OR of 3: - [3] - [3,1]
Example 2:
Input: nums = [2,2,2] Output: 7 Explanation: All non-empty subsets of [2,2,2] have a bitwise OR of 2. There are 23 - 1 = 7 total subsets.
Example 3:
Input: nums = [3,2,1,5] Output: 6 Explanation: The maximum possible bitwise OR of a subset is 7. There are 6 subsets with a bitwise OR of 7: - [3,5] - [3,1,5] - [3,2,5] - [3,2,1,5] - [2,5] - [2,1,5]
Constraints:
1 <= nums.length <= 16
1 <= nums[i] <= 105
Solution
count-number-of-maximum-bitwise-or-subsets.py
class Solution:
def countMaxOrSubsets(self, nums: List[int]) -> int:
n = len(nums)
mp = collections.defaultdict(int)
mmax = 0
for x in nums: mmax |= x
for mask in range(1, 1 << n):
s = 0
for j in range(n):
if (mask >> j) & 1:
s |= nums[j]
mp[s] += 1
return mp[mmax]