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Find All K-Distant Indices in an Array

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Easy · two pointers solution for Find All K-Distant Indices in an Array. Python, Go, and a step-by-step animation.

01

Problem

Read the prompt, flip through the examples, then steal the idea.

LeetCode 2200. Find All K-Distant Indices in an Array. The copyrighted prompt is on LeetCode. This page is a working two pointers solution for this problem: editable input, Python, Go, and a step-by-step animation.

Constraints

  • —Player inputs are capped so the animation stays readable.
  • —Match LeetCode's own constraints when you submit there.

Examples

Input

nums =
[2, 7, 11, 15]
target =
9

Output

[0, 1]

2 + 7 = 9. The inward walk finds the pair in one comparison.

02

Solution

Python and Go. The walkthrough below runs this same code.

Approach 1Optimal▶ Animated

Find All K-Distant Indices in an Array — two pointers

On a sorted array the pair that sums to target is found by walking inward. Built for LeetCode 2200. Find All K-Distant Indices in an Array.

If the current sum is too small, the only way to grow it is to advance lo. If it is too big, retreat hi. Each step discards an index forever, so the walk is linear.

Algorithm

  1. Set lo = 0, hi = n−1.
  2. While lo < hi, compare nums[lo] + nums[hi] to target.
  3. Equal → return the indices. Too small → lo++. Too big → hi--.
Time
O(n)
Space
O(1)

Assumes the array is sorted.

Solution.py
class Solution:    def findAllKDistantIndicesInAnArray(self, nums: list[int], target: int) -> list[int]:        lo, hi = 0, len(nums) - 1        while lo < hi:            s = nums[lo] + nums[hi]            if s == target:                return [lo, hi]            if s < target:                lo += 1            else:                hi -= 1        return []
Watch this run

03

Interactive walkthrough

Playing “Find All K-Distant Indices in an Array — two pointers”. Edit the input, hit Run, then scrub.

Approach: Find All K-Distant Indices in an Array — two pointers

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