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Solving Leetcode Interviews in Seconds with AI: Teemo Attacking

Updated
3 min read

Introduction

In this blog post, we will explore how to solve the LeetCode problem "495" 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

Our hero Teemo is attacking an enemy Ashe with poison attacks! When Teemo attacks Ashe, Ashe gets poisoned for a exactly duration seconds. More formally, an attack at second t will mean Ashe is poisoned during the inclusive time interval [t, t + duration - 1]. If Teemo attacks again before the poison effect ends, the timer for it is reset, and the poison effect will end duration seconds after the new attack. You are given a non-decreasing integer array timeSeries, where timeSeries[i] denotes that Teemo attacks Ashe at second timeSeries[i], and an integer duration. Return the total number of seconds that Ashe is poisoned. Example 1: Input: timeSeries = [1,4], duration = 2 Output: 4 Explanation: Teemo's attacks on Ashe go as follows: - At second 1, Teemo attacks, and Ashe is poisoned for seconds 1 and 2. - At second 4, Teemo attacks, and Ashe is poisoned for seconds 4 and 5. Ashe is poisoned for seconds 1, 2, 4, and 5, which is 4 seconds in total. Example 2: Input: timeSeries = [1,2], duration = 2 Output: 3 Explanation: Teemo's attacks on Ashe go as follows: - At second 1, Teemo attacks, and Ashe is poisoned for seconds 1 and 2. - At second 2 however, Teemo attacks again and resets the poison timer. Ashe is poisoned for seconds 2 and 3. Ashe is poisoned for seconds 1, 2, and 3, which is 3 seconds in total. Constraints: 1 <= timeSeries.length <= 104 0 <= timeSeries[i], duration <= 107 timeSeries is sorted in non-decreasing order.

Explanation

Here's the solution to the problem:

  • Iterate through the timeSeries array.
  • For each attack, calculate the poison duration considering potential overlaps with the previous attack's poison duration.
  • Accumulate the total poisoned time.

  • Runtime Complexity: O(n), Storage Complexity: O(1)

Code

    def findPoisonedDuration(timeSeries, duration):    """
    Calculates the total poisoned duration of Ashe based on Teemo's attacks.

    Args:
        timeSeries (list of int): A non-decreasing array of attack times.
        duration (int): The duration of the poison effect.

    Returns:
        int: The total number of seconds Ashe is poisoned.
    """

    total_poisoned_time = 0
    if not timeSeries:
        return 0

    for i in range(len(timeSeries) - 1):
        total_poisoned_time += min(duration, timeSeries[i+1] - timeSeries[i])

    total_poisoned_time += duration  # Add the duration for the last attack

    return total_poisoned_time

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