<p>There is a tree (i.e., a connected, undirected graph with no cycles) structure country network consisting of <code>n</code> cities numbered from <code>0</code> to <code>n - 1</code> and exactly <code>n - 1</code> roads. The capital city is city <code>0</code>. You are given a 2D integer array <code>roads</code> where <code>roads[i] = [a<sub>i</sub>, b<sub>i</sub>]</code> denotes that there exists a <strong>bidirectional road</strong> connecting cities <code>a<sub>i</sub></code> and <code>b<sub>i</sub></code>.</p>

<p>There is a meeting for the representatives of each city. The meeting is in the capital city.</p>

<p>There is a car in each city. You are given an integer <code>seats</code> that indicates the number of seats in each car.</p>

<p>A representative can use the car in their city to travel or change the car and ride with another representative. The cost of traveling between two cities is one liter of fuel.</p>

<p>Return <em>the minimum number of liters of fuel to reach the capital city</em>.</p>

<p>&nbsp;</p>
<p><strong class="example">Example 1:</strong></p>
<img alt="" src="https://assets.leetcode.com/uploads/2022/09/22/a4c380025e3ff0c379525e96a7d63a3.png" style="width: 303px; height: 332px;" />
<pre>
<strong>Input:</strong> roads = [[0,1],[0,2],[0,3]], seats = 5
<strong>Output:</strong> 3
<strong>Explanation:</strong> 
- Representative<sub>1</sub> goes directly to the capital with 1 liter of fuel.
- Representative<sub>2</sub> goes directly to the capital with 1 liter of fuel.
- Representative<sub>3</sub> goes directly to the capital with 1 liter of fuel.
It costs 3 liters of fuel at minimum. 
It can be proven that 3 is the minimum number of liters of fuel needed.
</pre>

<p><strong class="example">Example 2:</strong></p>
<img alt="" src="https://assets.leetcode.com/uploads/2022/11/16/2.png" style="width: 274px; height: 340px;" />
<pre>
<strong>Input:</strong> roads = [[3,1],[3,2],[1,0],[0,4],[0,5],[4,6]], seats = 2
<strong>Output:</strong> 7
<strong>Explanation:</strong> 
- Representative<sub>2</sub> goes directly to city 3 with 1 liter of fuel.
- Representative<sub>2</sub> and representative<sub>3</sub> go together to city 1 with 1 liter of fuel.
- Representative<sub>2</sub> and representative<sub>3</sub> go together to the capital with 1 liter of fuel.
- Representative<sub>1</sub> goes directly to the capital with 1 liter of fuel.
- Representative<sub>5</sub> goes directly to the capital with 1 liter of fuel.
- Representative<sub>6</sub> goes directly to city 4 with 1 liter of fuel.
- Representative<sub>4</sub> and representative<sub>6</sub> go together to the capital with 1 liter of fuel.
It costs 7 liters of fuel at minimum. 
It can be proven that 7 is the minimum number of liters of fuel needed.
</pre>

<p><strong class="example">Example 3:</strong></p>
<img alt="" src="https://assets.leetcode.com/uploads/2022/09/27/efcf7f7be6830b8763639cfd01b690a.png" style="width: 108px; height: 86px;" />
<pre>
<strong>Input:</strong> roads = [], seats = 1
<strong>Output:</strong> 0
<strong>Explanation:</strong> No representatives need to travel to the capital city.
</pre>

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

<ul>
	<li><code>1 &lt;= n &lt;= 10<sup>5</sup></code></li>
	<li><code>roads.length == n - 1</code></li>
	<li><code>roads[i].length == 2</code></li>
	<li><code>0 &lt;= a<sub>i</sub>, b<sub>i</sub> &lt; n</code></li>
	<li><code>a<sub>i</sub> != b<sub>i</sub></code></li>
	<li><code>roads</code> represents a valid tree.</li>
	<li><code>1 &lt;= seats &lt;= 10<sup>5</sup></code></li>
</ul>

class Solution:
    def minimumFuelCost(self, roads: List[List[int]], seats: int) -> int:
         # Create an adjacency list to represent the tree
        graph = defaultdict(list)
        for a, b in roads:
            graph[a].append(b)
            graph[b].append(a)

        # Variable to store the total fuel cost
        total_fuel = 0

        # DFS function to calculate the number of representatives and the fuel cost
        def dfs(city, parent):
            nonlocal total_fuel
            
            # Start with 1 representative for the current city
            representatives = 1
            
            # Explore all neighboring cities (children in the tree)
            for neighbor in graph[city]:
                if neighbor != parent:  # Avoid going back to the parent city
                    # Recursively count the representatives in the subtree
                    reps_in_subtree = dfs(neighbor, city)
                    
                    # Calculate the fuel needed for this subtree
                    total_fuel += (reps_in_subtree + seats - 1) // seats
                    
                    # Accumulate the representatives from this subtree
                    representatives += reps_in_subtree
            
            # Return the total number of representatives in the current subtree
            return representatives

        # Start DFS from the capital city (city 0) with no parent (-1)
        dfs(0, -1)
        
        return total_fuel
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