2024-08-30 Daily Challenge
Today I have done leetcode's August LeetCoding Challenge with cpp
.
August LeetCoding Challenge 30
Description
Modify Graph Edge Weights
You are given an undirected weighted connected graph containing n
nodes labeled from 0
to n - 1
, and an integer array edges
where edges[i] = [ai, bi, wi]
indicates that there is an edge between nodes ai
and bi
with weight wi
.
Some edges have a weight of -1
(wi = -1
), while others have a positive weight (wi > 0
).
Your task is to modify all edges with a weight of -1
by assigning them positive integer values in the range [1, 2 * 109]
so that the shortest distance between the nodes source
and destination
becomes equal to an integer target
. If there are multiple modifications that make the shortest distance between source
and destination
equal to target
, any of them will be considered correct.
Return an array containing all edges (even unmodified ones) in any order if it is possible to make the shortest distance from source
to destination
equal to target
, or an empty array if it's impossible.
Note: You are not allowed to modify the weights of edges with initial positive weights.
Example 1:
Input: n = 5, edges = [[4,1,-1],[2,0,-1],[0,3,-1],[4,3,-1]], source = 0, destination = 1, target = 5 Output: [[4,1,1],[2,0,1],[0,3,3],[4,3,1]] Explanation: The graph above shows a possible modification to the edges, making the distance from 0 to 1 equal to 5.
Example 2:
Input: n = 3, edges = [[0,1,-1],[0,2,5]], source = 0, destination = 2, target = 6 Output: [] Explanation: The graph above contains the initial edges. It is not possible to make the distance from 0 to 2 equal to 6 by modifying the edge with weight -1. So, an empty array is returned.
Example 3:
Input: n = 4, edges = [[1,0,4],[1,2,3],[2,3,5],[0,3,-1]], source = 0, destination = 2, target = 6 Output: [[1,0,4],[1,2,3],[2,3,5],[0,3,1]] Explanation: The graph above shows a modified graph having the shortest distance from 0 to 2 as 6.
Constraints:
1 <= n <= 100
1 <= edges.length <= n * (n - 1) / 2
edges[i].length == 3
0 <= ai, bi < n
wi = -1
or1 <= wi <= 107
ai != bi
0 <= source, destination < n
source != destination
1 <= target <= 109
- The graph is connected, and there are no self-loops or repeated edges
Solution
class Solution {
using pi = pair<int, int>;
void solve(
const vector<vector<pi>> &neighbors,
vector<vector<int>> &edges,
vector<vector<int>> &distance,
int source,
int difference = 0,
bool modify = false
) {
int n = neighbors.size();
priority_queue<pi, vector<pi>, greater<pi>> pq;
pq.push({0, source});
distance[source][modify] = 0;
while(pq.size()) {
auto [dist, current] = pq.top();
pq.pop();
if(dist > distance[current][modify]) continue;
for(auto &[next, edge] : neighbors[current]) {
int weight = edges[edge][2];
if(weight == -1) weight = 1;
if(modify && edges[edge][2] == -1) {
int newWeight = difference + distance[next][0] - distance[current][1];
if(newWeight > weight) {
edges[edge][2] = newWeight;
weight = newWeight;
}
}
if(distance[next][modify] > distance[current][modify] + weight) {
distance[next][modify] = distance[current][modify] + weight;
pq.push({distance[next][modify], next});
}
}
}
}
public:
vector<vector<int>> modifiedGraphEdges(int n, vector<vector<int>>& edges, int source, int destination, int target) {
vector<vector<pi>> neighbors(n);
for(int i = 0; i < edges.size(); ++i) {
neighbors[edges[i][0]].push_back({edges[i][1], i});
neighbors[edges[i][1]].push_back({edges[i][0], i});
}
vector<vector<int>> distance(n, vector<int>(2, INT_MAX));
distance[source][0] = 0;
distance[source][1] = 0;
solve(neighbors, edges, distance, source);
int diff = target - distance[destination][0];
if(diff < 0) return {};
solve(neighbors, edges, distance, source, diff, true);
if(distance[destination][1] < target) return {};
for(auto &e : edges) {
if(e[2] == -1) e[2] = 1;
}
return edges;
}
};