<p>You are given an integer <code>n</code> denoting the number of nodes of a <strong>weighted directed</strong> graph. The nodes are numbered from <code>0</code> to <code>n - 1</code>.</p>

<p>You are also given a 2D integer array <code>edges</code> where <code>edges[i] = [from<sub>i</sub>, to<sub>i</sub>, weight<sub>i</sub>]</code> denotes that there exists a <strong>directed</strong> edge from <code>from<sub>i</sub></code> to <code>to<sub>i</sub></code> with weight <code>weight<sub>i</sub></code>.</p>

<p>Lastly, you are given three <strong>distinct</strong> integers <code>src1</code>, <code>src2</code>, and <code>dest</code> denoting three distinct nodes of the graph.</p>

<p>Return <em>the <strong>minimum weight</strong> of a subgraph of the graph such that it is <strong>possible</strong> to reach</em> <code>dest</code> <em>from both</em> <code>src1</code> <em>and</em> <code>src2</code> <em>via a set of edges of this subgraph</em>. In case such a subgraph does not exist, return <code>-1</code>.</p>

<p>A <strong>subgraph</strong> is a graph whose vertices and edges are subsets of the original graph. The <strong>weight</strong> of a subgraph is the sum of weights of its constituent edges.</p>

<p>&nbsp;</p>
<p><strong class="example">Example 1:</strong></p>
<img alt="" src="https://assets.leetcode.com/uploads/2022/02/17/example1drawio.png" style="width: 263px; height: 250px;" />
<pre>
<strong>Input:</strong> n = 6, edges = [[0,2,2],[0,5,6],[1,0,3],[1,4,5],[2,1,1],[2,3,3],[2,3,4],[3,4,2],[4,5,1]], src1 = 0, src2 = 1, dest = 5
<strong>Output:</strong> 9
<strong>Explanation:</strong>
The above figure represents the input graph.
The blue edges represent one of the subgraphs that yield the optimal answer.
Note that the subgraph [[1,0,3],[0,5,6]] also yields the optimal answer. It is not possible to get a subgraph with less weight satisfying all the constraints.
</pre>

<p><strong class="example">Example 2:</strong></p>
<img alt="" src="https://assets.leetcode.com/uploads/2022/02/17/example2-1drawio.png" style="width: 350px; height: 51px;" />
<pre>
<strong>Input:</strong> n = 3, edges = [[0,1,1],[2,1,1]], src1 = 0, src2 = 1, dest = 2
<strong>Output:</strong> -1
<strong>Explanation:</strong>
The above figure represents the input graph.
It can be seen that there does not exist any path from node 1 to node 2, hence there are no subgraphs satisfying all the constraints.
</pre>

<p>&nbsp;</p>
<p><strong>Constraints:</strong></p>

<ul>
	<li><code>3 &lt;= n &lt;= 10<sup>5</sup></code></li>
	<li><code>0 &lt;= edges.length &lt;= 10<sup>5</sup></code></li>
	<li><code>edges[i].length == 3</code></li>
	<li><code>0 &lt;= from<sub>i</sub>, to<sub>i</sub>, src1, src2, dest &lt;= n - 1</code></li>
	<li><code>from<sub>i</sub> != to<sub>i</sub></code></li>
	<li><code>src1</code>, <code>src2</code>, and <code>dest</code> are pairwise distinct.</li>
	<li><code>1 &lt;= weight[i] &lt;= 10<sup>5</sup></code></li>
</ul>

class Solution:
    def minimumWeight(self, n: int, edges: List[List[int]], src1: int, src2: int, dest: int) -> int:
        ## use Dijkstra to calcualte each node's distance to a certain node
        g1, g2 = collections.defaultdict(list), collections.defaultdict(list)
        for u, v, w in edges:
            g1[u].append((v, w))
            g2[v].append((u, w))
            
        def dijkstra(graph, start):
            dist = {}
            q = [(0, start)]
            while q:
                cost, node = heapq.heappop(q)
                if node not in dist:
                    dist[node] = cost
                    for child, w in graph[node]:
                        if child not in dist:
                            heapq.heappush(q, (cost + w, child))
                            
            return [dist.get(node, float('inf')) for node in range(n)]
        
        arr1 = dijkstra(g1, src1)
        arr2 = dijkstra(g1, src2)
        arr3 = dijkstra(g2, dest)
        res = float('inf')
        for node in range(n):
            res = min(res, arr1[node]+arr2[node]+arr3[node])
           
        if res == float('inf'):
            return -1
        return res
        
        
                        
        
101500