Solving Leetcode Interviews in Seconds with AI: Maximize Active Section with Trade I
Introduction
In this blog post, we will explore how to solve the LeetCode problem "3499" 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 binary string s of length n, where: '1' represents an active section. '0' represents an inactive section. You can perform at most one trade to maximize the number of active sections in s. In a trade, you: Convert a contiguous block of '1's that is surrounded by '0's to all '0's. Afterward, convert a contiguous block of '0's that is surrounded by '1's to all '1's. Return the maximum number of active sections in s after making the optimal trade. Note: Treat s as if it is augmented with a '1' at both ends, forming t = '1' + s + '1'. The augmented '1's do not contribute to the final count. Example 1: Input: s = "01" Output: 1 Explanation: Because there is no block of '1's surrounded by '0's, no valid trade is possible. The maximum number of active sections is 1. Example 2: Input: s = "0100" Output: 4 Explanation: String "0100" → Augmented to "101001". Choose "0100", convert "101001" → "100001" → "111111". The final string without augmentation is "1111". The maximum number of active sections is 4. Example 3: Input: s = "1000100" Output: 7 Explanation: String "1000100" → Augmented to "110001001". Choose "000100", convert "110001001" → "110000001" → "111111111". The final string without augmentation is "1111111". The maximum number of active sections is 7. Example 4: Input: s = "01010" Output: 4 Explanation: String "01010" → Augmented to "1010101". Choose "010", convert "1010101" → "1000101" → "1111101". The final string without augmentation is "11110". The maximum number of active sections is 4. Constraints: 1 <= n == s.length <= 105 s[i] is either '0' or '1'
Explanation
Here's the breakdown of the approach, complexity, and the Python code:
High-level approach:
- Iterate through all possible contiguous blocks of '1's surrounded by '0's to convert to '0's.
- For each such conversion, iterate through all possible contiguous blocks of '0's surrounded by '1's to convert to '1's and compute the number of 1s.
- Keep track of the maximum number of active sections (1s) seen so far.
Complexity:
- Runtime Complexity: O(n^3) - nested loops to find '1' block and '0' block to flip
- Storage Complexity: O(n) - string manipulation
def solve():
s = input()
n = len(s)
max_ones = s.count('1')
for i in range(n):
for j in range(i, n):
temp_s = list(s)
# Check if the current block from i to j is a valid '1' block to flip to '0'
if s[i] == '1' and s[j] == '1':
valid_1_block = True
if i > 0 and s[i-1] == '1':
valid_1_block = False
if j < n -1 and s[j+1] == '1':
valid_1_block = False
if valid_1_block:
original_block = "".join(temp_s[i:j+1])
for k in range(i, j + 1):
temp_s[k] = '0'
for x in range(n):
for y in range(x, n):
# Check if the current block from x to y is a valid '0' block to flip to '1'
if temp_s[x] == '0' and temp_s[y] == '0':
valid_0_block = True
if x > 0 and temp_s[x-1] == '0':
valid_0_block = False
if y < n - 1 and temp_s[y+1] == '0':
valid_0_block = False
if valid_0_block:
for z in range(x, y + 1):
temp_s[z] = '1'
max_ones = max(max_ones, temp_s.count('1'))
# revert '1' flips before next '0' flip
for z in range(x, y+1):
temp_s[z] = '0'
for k in range(i, j+1):
temp_s[k] = original_block[k-i] #revert original block
print(max_ones)
# Code
```python
def solve(): s = input()
n = len(s)
max_ones = s.count('1')
for i in range(n):
for j in range(i, n):
temp_s = list(s)
# Check if the current block from i to j is a valid '1' block to flip to '0'
if s[i] == '1' and s[j] == '1':
valid_1_block = True
if i > 0 and s[i-1] == '1':
valid_1_block = False
if j < n -1 and s[j+1] == '1':
valid_1_block = False
if valid_1_block:
original_block = "".join(temp_s[i:j+1])
for k in range(i, j + 1):
temp_s[k] = '0'
for x in range(n):
for y in range(x, n):
# Check if the current block from x to y is a valid '0' block to flip to '1'
if temp_s[x] == '0' and temp_s[y] == '0':
valid_0_block = True
if x > 0 and temp_s[x-1] == '0':
valid_0_block = False
if y < n - 1 and temp_s[y+1] == '0':
valid_0_block = False
if valid_0_block:
for z in range(x, y + 1):
temp_s[z] = '1'
max_ones = max(max_ones, temp_s.count('1'))
# revert '1' flips before next '0' flip
for z in range(x, y+1):
temp_s[z] = '0'
for k in range(i, j+1):
temp_s[k] = original_block[k-i] #revert original block
print(max_ones)