Random Flip Matrix
Problem
There is an m x n binary grid matrix with all the values set 0 initially. Design an algorithm to randomly pick an index (i, j) where matrix[i][j] == 0 and flips it to 1. All the indices (i, j) where matrix[i][j] == 0 should be equally likely to be returned.
Optimize your algorithm to minimize the number of calls made to the built-in random function of your language and optimize the time and space complexity.
Implement the Solution class:
Solution(int m, int n)Initializes the object with the size of the binary matrixmandn.int[] flip()Returns a random index[i, j]of the matrix wherematrix[i][j] == 0and flips it to1.void reset()Resets all the values of the matrix to be0.
Examples
Example 1:
Input:
["Solution", "flip", "flip", "flip", "reset", "flip"]
[[3, 1], [], [], [], [], []]
Output:
[null, [1, 0], [2, 0], [0, 0], null, [2, 0
Explanation
Solution solution = new Solution(3, 1);
solution.flip(); // return [1, 0], [0,0], [1,0], and [2,0] should be equally likely to be returned.
solution.flip(); // return [2, 0], Since [1,0] was returned, [2,0] and [0,0]
solution.flip(); // return [0, 0], Based on the previously returned indices, only [0,0] can be returned.
solution.reset(); // All the values are reset to 0 and can be returned.
solution.flip(); // return [2, 0], [0,0], [1,0], and [2,0] should be equally likely to be returned.
Solution
Method 1 - Treat 2D Array as 1D Array and Use Fisher Yates
We model the matrix as a 1D array with an initial size of row * cols. For each flip, randomly choose an index from 0 to size-1 and flip it. Once an element is flipped, reduce the total count by 1:
int r = rand.nextInt(total--);
Next, swap the flipped element with the tail element (index: size-1), record this mapping (key: original index, value: tail index) in a Map, and decrease the size:
map.put(r, map.getOrDefault(total, total));
In subsequent flips, if the same index is picked, use the map to find the actual element stored at that index:
int idx = map.getOrDefault(r, r);
Code
Java
class Solution {
private Map<Integer, Integer> map;
private int rows, cols, total;
private Random rand;
public Solution(int m, int n) {
map = new HashMap<>();
rand = new Random();
rows = m;
cols = n;
total = m * n;
}
public int[] flip() {
// generate index, decrease total number of values
int r = rand.nextInt(total--);
// check if we have already put something at this index
int x = map.getOrDefault(r, r);
// swap - put total at index that we generated
map.put(r, map.getOrDefault(total, total));
return new int[]{x / cols, x % cols};
}
public void reset() {
map.clear();
total = rows * cols;
}
}
Dry Run and Explanation
There are only 3 possible scenarios.
For instance, if row = 2, cols = 3, and total = 6:
-
The randomly generated number is the last one:
- Sequence:
0 1 2 3 4 5 6 - Random value:
r = 6 totalis now56is not in themap, thusx = 6- Update
mapwithmap[6] = 5 - This is straightforward. In future, numbers will be generated between
0-5, ensuring6is not repeated. - Chosen value:
{6}
- Sequence:
-
The randomly generated number hasn't appeared before:
- Remaining numbers:
0 1 2 3 4 5 - Random value:
r = 2 totalis now42is not in themap, thusx = 2- Update
mapwithmap[6] = 5andmap[2] = 4 - Chosen values:
{6, 2}
- Remaining numbers:
-
The randomly generated number has appeared before:
- Remaining numbers:
0 1 2 3 4 - Random value:
r = 2, which repeats totalis now3- Since
map[2] = 4,x = 4 - Update
mapwithmap[6] = 5andmap[2] = 3 - Chosen values:
{6, 2, 4}
- Remaining numbers: