Consider a directed graph, with nodes labelled 0, 1, ..., n-1
. In this
graph, each edge is either red or blue, and there could be self-edges or parallel
edges.
Each [i, j]
in red_edges
denotes a red directed edge from node
i
to node j
. Similarly, each [i, j]
in blue_edges
denotes a blue directed edge from node i
to node j
.
Return an array answer
of length n
, where
each answer[X]
is the length of the shortest path from node
0
to node X
such that the edge colors alternate along
the path (or -1
if such a path doesn't exist).
Example 1:
Input: n = 3, red_edges = [[0,1],[1,2]], blue_edges = [] Output: [0,1,-1]
Example 2:
Input: n = 3, red_edges = [[0,1]], blue_edges = [[2,1]] Output: [0,1,-1]
Example 3:
Input: n = 3, red_edges = [[1,0]], blue_edges = [[2,1]] Output: [0,-1,-1]
Example 4:
Input: n = 3, red_edges = [[0,1]], blue_edges = [[1,2]] Output: [0,1,2]
Example 5:
Input: n = 3, red_edges = [[0,1],[0,2]], blue_edges = [[1,0]] Output: [0,1,1]
Constraints:
1 <= n <= 100
red_edges.length <= 400
blue_edges.length <= 400
red_edges[i].length == blue_edges[i].length == 2
0 <= red_edges[i][j], blue_edges[i][j] < n