Solving Leetcode Interviews in Seconds with AI: Generate Binary Strings Without Adjacent Zeros
Introduction
In this blog post, we will explore how to solve the LeetCode problem "3211" 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
You are given a positive integer n. A binary string x is valid if all substrings of x of length 2 contain at least one "1". Return all valid strings with length n, in any order. Example 1: Input: n = 3 Output: ["010","011","101","110","111"] Explanation: The valid strings of length 3 are: "010", "011", "101", "110", and "111". Example 2: Input: n = 1 Output: ["0","1"] Explanation: The valid strings of length 1 are: "0" and "1". Constraints: 1 <= n <= 18
Explanation
- The core idea is to use backtracking (depth-first search) to explore all possible binary strings of length
n.- During the search, we check the validity condition (substrings of length 2 must contain at least one "1") at each step to avoid exploring invalid branches.
- We build the binary strings incrementally, one character at a time.
- Runtime Complexity: O(2n), Storage Complexity: O(n) due to the recursion depth and string length.
Code
def solve():
n = int(input())
def is_valid(s):
for i in range(len(s) - 1):
if s[i:i+2] == "00":
return False
return True
result = []
def backtrack(current_string):
if len(current_string) == n:
result.append(current_string)
return
for choice in ["0", "1"]:
new_string = current_string + choice
if len(new_string) >= 2 and new_string[-2:] == "00":
continue
backtrack(new_string)
backtrack("")
print(result)
solve()