Solving Leetcode Interviews in Seconds with AI: Different Ways to Add Parentheses
Introduction
In this blog post, we will explore how to solve the LeetCode problem "241" 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 a string expression of numbers and operators, return all possible results from computing all the different possible ways to group numbers and operators. You may return the answer in any order. The test cases are generated such that the output values fit in a 32-bit integer and the number of different results does not exceed 104. Example 1: Input: expression = "2-1-1" Output: [0,2] Explanation: ((2-1)-1) = 0 (2-(1-1)) = 2 Example 2: Input: expression = "23-45" Output: [-34,-14,-10,-10,10] Explanation: (2(3-(45))) = -34 ((23)-(45)) = -14 ((2(3-4))5) = -10 (2((3-4)5)) = -10 (((23)-4)5) = 10 Constraints: 1 <= expression.length <= 20 expression consists of digits and the operator '+', '-', and '*'. All the integer values in the input expression are in the range [0, 99]. The integer values in the input expression do not have a leading '-' or '+' denoting the sign.
Explanation
Here's the breakdown of the approach, complexity, and Python code:
Approach:
- Divide and Conquer: Recursively split the expression at each operator.
- Base Case: If the expression is a single number, return it as a list.
- Combine Results: For each split, combine the results from the left and right sub-expressions using the operator at the split point.
Complexity:
- Runtime: O(Catalan Number * N), which is approximately O(4^N / (N^(3/2))). Where N is the number of operators. The Catalan number arises from the number of ways to parenthesize the expression.
- Storage: O(Catalan Number * N). Dominated by the storage of intermediate result lists in the recursion.
Code
def diffWaysToCompute(expression: str) -> list[int]:
"""
Computes all possible results from different groupings of numbers and operators in an expression.
Args:
expression: The input string expression.
Returns:
A list of all possible results.
"""
def compute(left: list[int], right: list[int], op: str) -> list[int]:
results = []
for l in left:
for r in right:
if op == '+':
results.append(l + r)
elif op == '-':
results.append(l - r)
elif op == '*':
results.append(l * r)
return results
if expression.isdigit():
return [int(expression)]
results = []
for i, char in enumerate(expression):
if char in ['+', '-', '*']:
left = diffWaysToCompute(expression[:i])
right = diffWaysToCompute(expression[i+1:])
results.extend(compute(left, right, char))
return results