LeetCode 1632. Rank Transform of a Matrix Solution in Java, C++, Python & Go | Explanation + Code

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1632. Rank Transform of a Matrix

Description

Given an m x n matrix, return a new matrix answer where answer[row][col] is the rank of matrix[row][col].

The rank is an integer that represents how large an element is compared to other elements. It is calculated using the following rules:

  • The rank is an integer starting from 1.
  • If two elements p and q are in the same row or column, then:
    • If p < q then rank(p) < rank(q)
    • If p == q then rank(p) == rank(q)
    • If p > q then rank(p) > rank(q)
  • The rank should be as small as possible.

The test cases are generated so that answer is unique under the given rules.

 

Example 1:

Input: matrix = [[1,2],[3,4]]
Output: [[1,2],[2,3]]
Explanation:
The rank of matrix[0][0] is 1 because it is the smallest integer in its row and column.
The rank of matrix[0][1] is 2 because matrix[0][1] > matrix[0][0] and matrix[0][0] is rank 1.
The rank of matrix[1][0] is 2 because matrix[1][0] > matrix[0][0] and matrix[0][0] is rank 1.
The rank of matrix[1][1] is 3 because matrix[1][1] > matrix[0][1], matrix[1][1] > matrix[1][0], and both matrix[0][1] and matrix[1][0] are rank 2.

Example 2:

Input: matrix = [[7,7],[7,7]]
Output: [[1,1],[1,1]]

Example 3:

Input: matrix = [[20,-21,14],[-19,4,19],[22,-47,24],[-19,4,19]]
Output: [[4,2,3],[1,3,4],[5,1,6],[1,3,4]]

 

Constraints:

  • m == matrix.length
  • n == matrix[i].length
  • 1 <= m, n <= 500
  • -109 <= matrix[row][col] <= 109

Solutions

Solution 1

PythonJavaC++Go
class UnionFind: def __init__(self, n): self.p = list(range(n)) self.size = [1] * n def find(self, x): if self.p[x] != x: self.p[x] = self.find(self.p[x]) return self.p[x] def union(self, a, b): pa, pb = self.find(a), self.find(b) if pa != pb: if self.size[pa] > self.size[pb]: self.p[pb] = pa self.size[pa] += self.size[pb] else: self.p[pa] = pb self.size[pb] += self.size[pa] def reset(self, x): self.p[x] = x self.size[x] = 1 class Solution: def matrixRankTransform(self, matrix: List[List[int]]) -> List[List[int]]: m, n = len(matrix), len(matrix[0]) d = defaultdict(list) for i, row in enumerate(matrix): for j, v in enumerate(row): d[v].append((i, j)) row_max = [0] * m col_max = [0] * n ans = [[0] * n for _ in range(m)] uf = UnionFind(m + n) for v in sorted(d): rank = defaultdict(int) for i, j in d[v]: uf.union(i, j + m) for i, j in d[v]: rank[uf.find(i)] = max(rank[uf.find(i)], row_max[i], col_max[j]) for i, j in d[v]: ans[i][j] = row_max[i] = col_max[j] = 1 + rank[uf.find(i)] for i, j in d[v]: uf.reset(i) uf.reset(j + m) return ans(code-box)

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