
Maximum 0-1 Distance Problem Statement
Given a binary matrix of size N*M, find the maximum distance 'di' for every 0-cell to its nearest 1-cell, where the distance is measured using Manhattan distance. The task is to determine the maximum of these minimum distances for all 0-cells in the matrix.
Explanation:
For each 0-cell (a cell with value 0) in the matrix, calculate the Manhattan distance to its closest 1-cell (a cell with value 1). The goal is to find the largest of these distances.
Distance Calculation:
The distance between cells (i, j) and (a, b) is expressed as |i-a| + |j-b|, using the Manhattan distance.
Input:
The first line contains an integer 'T' indicating the number of test cases. Each test case consists of: First line: Two integers, N and M, separated by a space (number of rows and columns, respectively). Next N lines: Each line contains M integers (0 or 1) separated by spaces representing the matrix.
Output:
For each test case, output a single integer representing the maximum possible distance from a 0-cell to its nearest 1-cell. Print each result on a new line.
Example:
Input
T = 1
N, M = 2, 2
Matrix = [[0, 1], [0, 1]]
Output
1
Constraints:
1 ≤ T ≤ 100
1 ≤ N ≤ 100
1 ≤ M ≤ 100
Note:
You don't need to print anything. Just implement the function according to the provided structure.


Find the maximum Manhattan distance from a 0-cell to its nearest 1-cell in a binary matrix.
Iterate through the matrix to find all 0-cells and calculate their distances to nearest 1-cells using Manhatt...read more

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