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Leetcode #982: Triples with Bitwise AND Equal To Zero

In this guide, we solve Leetcode #982 Triples with Bitwise AND Equal To Zero in Python and focus on the core idea that makes the solution efficient.

You will see the intuition, the step-by-step method, and a clean Python implementation you can use in interviews.

Leetcode

Problem Statement

Given an integer array nums, return the number of AND triples. An AND triple is a triple of indices (i, j, k) such that: 0 <= i < nums.length 0 <= j < nums.length 0 <= k < nums.length nums[i] & nums[j] & nums[k] == 0, where & represents the bitwise-AND operator.

Quick Facts

  • Difficulty: Hard
  • Premium: No
  • Tags: Bit Manipulation, Array, Hash Table

Intuition

Fast membership checks and value lookups are the heart of this problem, which makes a hash map the natural choice.

By storing what we have already seen (or counts/indexes), we can answer the question in one pass without backtracking.

Approach

Scan the input once, using the map to detect when the condition is satisfied and to update state as you go.

This keeps the solution linear while remaining easy to explain in an interview setting.

Steps:

  • Initialize a hash map for seen items or counts.
  • Iterate through the input, querying/updating the map.
  • Return the first valid result or the final computed value.

Example

Input: nums = [2,1,3] Output: 12 Explanation: We could choose the following i, j, k triples: (i=0, j=0, k=1) : 2 & 2 & 1 (i=0, j=1, k=0) : 2 & 1 & 2 (i=0, j=1, k=1) : 2 & 1 & 1 (i=0, j=1, k=2) : 2 & 1 & 3 (i=0, j=2, k=1) : 2 & 3 & 1 (i=1, j=0, k=0) : 1 & 2 & 2 (i=1, j=0, k=1) : 1 & 2 & 1 (i=1, j=0, k=2) : 1 & 2 & 3 (i=1, j=1, k=0) : 1 & 1 & 2 (i=1, j=2, k=0) : 1 & 3 & 2 (i=2, j=0, k=1) : 3 & 2 & 1 (i=2, j=1, k=0) : 3 & 1 & 2

Python Solution

class Solution: def countTriplets(self, nums: List[int]) -> int: cnt = Counter(x & y for x in nums for y in nums) return sum(v for xy, v in cnt.items() for z in nums if xy & z == 0)

Complexity

The time complexity is O(n2+n×M)O(n^2 + n \times M)O(n2+n×M), and the space complexity is O(M)O(M)O(M), where nnn is the length of the array numsnumsnums; and MMM is the maximum value in the array numsnumsnums, with M≤216M \leq 2^{16}M≤216 in this problem. The space complexity is O(M)O(M)O(M), where nnn is the length of the array numsnumsnums; and MMM is the maximum value in the array numsnumsnums, with M≤216M \leq 2^{16}M≤216 in this problem.

Edge Cases and Pitfalls

Watch for boundary values, empty inputs, and duplicate values where applicable. If the problem involves ordering or constraints, confirm the invariant is preserved at every step.

Summary

This Python solution focuses on the essential structure of the problem and keeps the implementation interview-friendly while meeting the constraints.


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