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Solving Leetcode Interviews in Seconds with AI: Add Minimum Number of Rungs

Updated
3 min read

Introduction

In this blog post, we will explore how to solve the LeetCode problem "1936" using AI. LeetCode is a popular platform for preparing for coding interviews, and with the help of AI tools like Chatmagic, we can generate solutions quickly and efficiently - helping you pass the interviews and get the job offer without having to study for months.

Problem Statement

You are given a strictly increasing integer array rungs that represents the height of rungs on a ladder. You are currently on the floor at height 0, and you want to reach the last rung. You are also given an integer dist. You can only climb to the next highest rung if the distance between where you are currently at (the floor or on a rung) and the next rung is at most dist. You are able to insert rungs at any positive integer height if a rung is not already there. Return the minimum number of rungs that must be added to the ladder in order for you to climb to the last rung. Example 1: Input: rungs = [1,3,5,10], dist = 2 Output: 2 Explanation: You currently cannot reach the last rung. Add rungs at heights 7 and 8 to climb this ladder. The ladder will now have rungs at [1,3,5,7,8,10]. Example 2: Input: rungs = [3,6,8,10], dist = 3 Output: 0 Explanation: This ladder can be climbed without adding additional rungs. Example 3: Input: rungs = [3,4,6,7], dist = 2 Output: 1 Explanation: You currently cannot reach the first rung from the ground. Add a rung at height 1 to climb this ladder. The ladder will now have rungs at [1,3,4,6,7]. Constraints: 1 <= rungs.length <= 105 1 <= rungs[i] <= 109 1 <= dist <= 109 rungs is strictly increasing.

Explanation

Here's the solution:

  • Iterate through the rungs array, keeping track of the current height.
  • For each rung, calculate the distance between the current height and the rung's height. If the distance is greater than dist, determine the number of additional rungs needed and increment the rung count.
  • Update the current height to the rung's height.

  • Runtime Complexity: O(n), where n is the number of rungs. Storage Complexity: O(1).

Code

    def addRungs(rungs, dist):
    """
    Calculates the minimum number of rungs to add to climb the ladder.

    Args:
        rungs: A list of integers representing the height of rungs.
        dist: The maximum distance you can climb.

    Returns:
        The minimum number of rungs that must be added.
    """

    current_height = 0
    rungs_added = 0

    for rung_height in rungs:
        distance = rung_height - current_height
        if distance > dist:
            rungs_needed = (distance - 1) // dist  # Integer division to find the number of rungs. Subtract 1 from the distance to avoid adding a rung if it can be reached exactly using the dist value.

            rungs_added += rungs_needed

        current_height = rung_height

    return rungs_added

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