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Shortest Weighted Routes

Find the minimum total route cost from city 1 to each city.

समस्या

Find the minimum total route cost from city 1 to each city. Routes are directed: [u, v, cost] allows travel from u to v, not automatically back. You may use several routes. City 1 costs 0 to reach. Every city is reachable from city 1.

Implement shortest_weighted_routes(cities, routes).

Input

cities: Number of cities, numbered from 1.

routes: Directed routes [from_city, to_city, cost].

Output

Return the minimum costs in city order, starting with city 1.

सीमाएँ

1 ≤ cities ≤ 100,000. 0…200,000 routes; endpoints are 1…cities. Costs are integers from 1 to 1,000,000,000. Parallel routes and self-loops are allowed. Distances fit signed 64-bit.

उदाहरण

उदाहरण 1
इनपुट:
cities = 3
routes = [
    [1, 2, 5],
    [1, 3, 1],
    [3, 2, 2]
]

अपेक्षित आउटपुट:
expected = [0, 3, 1]
इनपुट:
long long cities = 3;
std::vector<std::vector<long long>> routes = {
    {1, 2, 5},
    {1, 3, 1},
    {3, 2, 2}
};

अपेक्षित आउटपुट:
std::vector<long long> expected = {0, 3, 1};
इनपुट:
long cities = 3;
long[][] routes = new long[][] {
    new long[] {1, 2, 5},
    new long[] {1, 3, 1},
    new long[] {3, 2, 2}
};

अपेक्षित आउटपुट:
long[] expected = new long[] {0, 3, 1};

व्याख्या

City 3 costs 1. Going from 1 through 3 to 2 costs 1 + 2 = 3, cheaper than the direct cost of 5.

उदाहरण 2
इनपुट:
cities = 1
routes = []

अपेक्षित आउटपुट:
expected = [0]
इनपुट:
long long cities = 1;
std::vector<std::vector<long long>> routes = {};

अपेक्षित आउटपुट:
std::vector<long long> expected = {0};
इनपुट:
long cities = 1;
long[][] routes = new long[][] {};

अपेक्षित आउटपुट:
long[] expected = new long[] {0};

व्याख्या

The only city is the starting city. No travel is needed, so its distance is 0.

संदर्भ

यह चुनौती CodeUtility के लिए अनुकूलित की गई है। ऊपर दिए गए स्टेटमेंट और सीमाओं का पालन करें।

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