# Example usage:

A = 3

B = 1

C = [[1, 2, 1], [2, 3, 4], [3, 1, 0]]

The maximum reward points Jack can accumulate using the loyalty program, given the example input, is **5**.

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### Relative Questions:
1. How does the algorithm handle situations where a road leads back to the same tourist place?
2. What is the impact of having multiple roads between the same tourist places?
3. How can the solution be adapted if we wanted to limit the number of times a road can be used?
4. What would happen if the base rewards for all roads were zero or negative?
5. Can this algorithm be modified to work for undirected roads?

### Tip:
When working with DFS on graphs with cycles, it's important to manage visited nodes carefully to avoid infinite loops and incorrect results.

Discover how to maximize reward points using graph theory and depth-first search (DFS). This problem involves finding the maximum reward points Jack can accumulate using a loyalty program, navigating through cycles and multiple paths between tourist places.

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