In computer science, there is a method called "Divide And Conquer By Node" to solve some hard problems about paths on a tree. Let's desribe how this method works by function:

solve(t) (t is a tree):

1. Chose a node x (it's common to chose weight-center) in tree t. Let's call this step "Line A".
2. Deal with all paths that pass x.
3. Then delete x from tree t.
4. After that t becomes some subtrees.
5. Apply solve on each subtree.

This ends when t has only one node because after deleting it, there's nothing.

Now, WJMZBMR has mistakenly believed that it's ok to chose any node in "Line A". So he'll chose a node at random. To make the situation worse, he thinks a "tree" should have the same number of edges and nodes! So this procedure becomes like that.

Let's define the variable totalCost. Initially the value of totalCost equal to 0. So, solve(t) (now t is a graph):

1. totalCost = totalCost + (size of t). The operation "=" means assignment. (Size of t) means the number of nodes in t.
2. Choose a node x in graph t at random (uniformly among all nodes of t).
3. Then delete x from graph t.
4. After that t becomes some connected components.
5. Apply solve on each component.

He'll apply solve on a connected graph with n nodes and n edges. He thinks it will work quickly, but it's very slow. So he wants to know the expectation of totalCost of this procedure. Can you help him?