Solving Leetcode Interviews in Seconds with AI: Pow(x, n)
Introduction
In this blog post, we will explore how to solve the LeetCode problem "50" 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
Implement pow(x, n), which calculates x raised to the power n (i.e., xn). Example 1: Input: x = 2.00000, n = 10 Output: 1024.00000 Example 2: Input: x = 2.10000, n = 3 Output: 9.26100 Example 3: Input: x = 2.00000, n = -2 Output: 0.25000 Explanation: 2-2 = 1/22 = 1/4 = 0.25 Constraints: -100.0 < x < 100.0 -231 <= n <= 231-1 n is an integer. Either x is not zero or n > 0. -104 <= xn <= 104
Explanation
Here's a breakdown of the solution and the Python code:
High-Level Approach:
- Handle Negative Exponents: If
nis negative, invertxand makenpositive. - Binary Exponentiation: Use the property that xn = xn/2 xn/2 if
nis even, and xn = x xn-1 ifnis odd. Recursively apply this to calculate the power efficiently. - Base Case: If
nis 0, return 1.
- Handle Negative Exponents: If
Complexity:
- Runtime Complexity: O(log n) due to the halving of the exponent in each recursive step. Storage Complexity: O(log n) due to the recursive call stack.
Code
def myPow(x: float, n: int) -> float:
"""
Calculates x raised to the power n (x^n).
"""
if n == 0:
return 1.0
if n < 0:
x = 1 / x
n = -n
def power(x, n):
if n == 0:
return 1.0
if n % 2 == 0:
half_power = power(x, n // 2)
return half_power * half_power
else:
return x * power(x, n - 1)
return power(x, n)