Solving Leetcode Interviews in Seconds with AI: Count Submatrices With Equal Frequency of X and Y
Introduction
In this blog post, we will explore how to solve the LeetCode problem "3212" 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 2D character matrix grid, where grid[i][j] is either 'X', 'Y', or '.', return the number of submatrices that contain: grid[0][0] an equal frequency of 'X' and 'Y'. at least one 'X'. Example 1: Input: grid = [["X","Y","."],["Y",".","."]] Output: 3 Explanation: Example 2: Input: grid = [["X","X"],["X","Y"]] Output: 0 Explanation: No submatrix has an equal frequency of 'X' and 'Y'. Example 3: Input: grid = [[".","."],[".","."]] Output: 0 Explanation: No submatrix has at least one 'X'. Constraints: 1 <= grid.length, grid[i].length <= 1000 grid[i][j] is either 'X', 'Y', or '.'.
Explanation
Here's a breakdown of the approach, complexity, and the Python code:
High-Level Approach:
- Iterate through all possible submatrices defined by their top-left and bottom-right corners.
- For each submatrix, count the occurrences of 'X' and 'Y'.
- If the count of 'X' equals the count of 'Y' and the submatrix contains at least one 'X', increment the result.
Complexity:
- Runtime: O(m2n2), where 'm' is the number of rows and 'n' is the number of columns. This is because we iterate through all possible submatrices, which is O(m2n2), and counting within each submatrix takes O(mn) in the worst case, but these can be combined and counted at the same time.
- Storage: O(1). The solution uses a constant amount of extra space.
Code
def count_submatrices(grid):
"""
Counts the number of submatrices in a 2D grid that contain an equal frequency of 'X' and 'Y',
and at least one 'X'.
"""
rows = len(grid)
cols = len(grid[0])
count = 0
for r1 in range(rows):
for c1 in range(cols):
for r2 in range(r1, rows):
for c2 in range(c1, cols):
x_count = 0
y_count = 0
has_x = False
for i in range(r1, r2 + 1):
for j in range(c1, c2 + 1):
if grid[i][j] == 'X':
x_count += 1
has_x = True
elif grid[i][j] == 'Y':
y_count += 1
if has_x and x_count == y_count:
count += 1
return count