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LeetCode 2044, Medium. Topics: Array, Backtracking, Bit Manipulation, Enumeration. View on LeetCode. Generate this problem as a practice environment: tested reference solution, 20 parametrized pytest cases, and a playground notebook:

Problem

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).

Examples

Explanation: The maximum possible bitwise OR of a subset is 3. There are 2 subsets with a bitwise OR of 3:
  • [3]
  • [3,1]
Explanation: All non-empty subsets of [2,2,2] have a bitwise OR of 2. There are 2^3 - 1 = 7 total subsets.
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] <= 10^5

Solution

Reference implementation from solution.py on GitHub, full suite in test_solution.py:

Complexity

Tags

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Last modified on September 7, 2026