Solving Leetcode Interviews in Seconds with AI: Ways to Express an Integer as Sum of Powers
Introduction
In this blog post, we will explore how to solve the LeetCode problem "2787" 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
Given two positive integers n and x. Return the number of ways n can be expressed as the sum of the xth power of unique positive integers, in other words, the number of sets of unique integers [n1, n2, ..., nk] where n = n1x + n2x + ... + nkx. Since the result can be very large, return it modulo 109 + 7. For example, if n = 160 and x = 3, one way to express n is n = 23 + 33 + 53. Example 1: Input: n = 10, x = 2 Output: 1 Explanation: We can express n as the following: n = 32 + 12 = 10. It can be shown that it is the only way to express 10 as the sum of the 2nd power of unique integers. Example 2: Input: n = 4, x = 1 Output: 2 Explanation: We can express n in the following ways: - n = 41 = 4. - n = 31 + 11 = 4. Constraints: 1 <= n <= 300 1 <= x <= 5
Explanation
Here's the breakdown of the solution:
- Dynamic Programming: Use dynamic programming to store the number of ways to achieve a certain sum using the xth powers of integers up to a certain limit. The DP table
dp[i]stores the number of ways to achieve a sum ofi. - Iterate through Powers: Iterate through the possible integers whose xth power is less than or equal to
n. For each integeri, update the DP table by considering whether to includei^xin the sum. Base Case: The base case for the DP is
dp[0] = 1, indicating that there's one way to achieve a sum of 0 (by including no terms).Time & Space Complexity: O(n * (n1/x)), O(n), where n is the target sum and x is the power.
Code
def count_ways(n: int, x: int) -> int:
"""
Given two positive integers n and x. Return the number of ways n can be expressed
as the sum of the xth power of unique positive integers, in other words, the number
of sets of unique integers [n1, n2, ..., nk] where n = n1x + n2x + ... + nkx.
Since the result can be very large, return it modulo 10^9 + 7.
For example, if n = 160 and x = 3, one way to express n is n = 2^3 + 3^3 + 5^3.
Example 1:
Input: n = 10, x = 2
Output: 1
Explanation: We can express n as the following: n = 3^2 + 1^2 = 10.
It can be shown that it is the only way to express 10 as the sum of the 2nd power of unique integers.
Example 2:
Input: n = 4, x = 1
Output: 2
Explanation: We can express n in the following ways:
- n = 4^1 = 4.
- n = 3^1 + 1^1 = 4.
Constraints:
1 <= n <= 300
1 <= x <= 5
"""
dp = [0] * (n + 1)
dp[0] = 1
MOD = 10**9 + 7
for i in range(1, int(n**(1/x)) + 1):
power = i**x
for j in range(n, power - 1, -1):
dp[j] = (dp[j] + dp[j - power]) % MOD
return dp[n]