Solving Leetcode Interviews in Seconds with AI: Maximum Total Damage With Spell Casting
Introduction
In this blog post, we will explore how to solve the LeetCode problem "3186" 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
A magician has various spells. You are given an array power, where each element represents the damage of a spell. Multiple spells can have the same damage value. It is a known fact that if a magician decides to cast a spell with a damage of power[i], they cannot cast any spell with a damage of power[i] - 2, power[i] - 1, power[i] + 1, or power[i] + 2. Each spell can be cast only once. Return the maximum possible total damage that a magician can cast. Example 1: Input: power = [1,1,3,4] Output: 6 Explanation: The maximum possible damage of 6 is produced by casting spells 0, 1, 3 with damage 1, 1, 4. Example 2: Input: power = [7,1,6,6] Output: 13 Explanation: The maximum possible damage of 13 is produced by casting spells 1, 2, 3 with damage 1, 6, 6. Constraints: 1 <= power.length <= 105 1 <= power[i] <= 109
Explanation
Here's the breakdown of the solution:
- Sort and Dynamic Programming: Sort the spell damages to efficiently consider them in ascending order. Then, use dynamic programming to calculate the maximum damage achievable up to each spell.
- State Transition: For each spell, decide whether to include it in the optimal set or not. If a spell is included, spells with damages power[i] - 2, power[i] - 1, power[i] + 1, power[i] + 2 cannot be included.
Optimization: Use a dictionary (or hash map) to store and retrieve previously calculated maximum damages to avoid redundant computations and optimize performance.
Runtime Complexity: O(n log n), where n is the number of spells, due to sorting.
- Storage Complexity: O(n), where n is the number of spells, due to the dp dictionary.
Code
def max_damage(power):
"""
Calculates the maximum possible total damage that a magician can cast,
given the constraint that if a spell with damage power[i] is cast,
spells with damage power[i] - 2, power[i] - 1, power[i] + 1, or power[i] + 2 cannot be cast.
Args:
power: A list of integers representing the damage of each spell.
Returns:
The maximum possible total damage that a magician can cast.
"""
power.sort()
n = len(power)
dp = {} # Dictionary to store computed results
def solve(i):
if i >= n:
return 0
if i in dp:
return dp[i]
# Option 1: Don't include power[i]
option1 = solve(i + 1)
# Option 2: Include power[i]
current_power = power[i]
next_index = i + 1
while next_index < n and (power[next_index] == current_power or power[next_index] == current_power + 1 or power[next_index] == current_power + 2):
next_index += 1
option2 = power[i] + solve(next_index)
dp[i] = max(option1, option2)
return dp[i]
return solve(0)