===== 5. Functional data representation ===== ==== 5.1. Nats === Consider the following toy implementation of the type ''Nat'' which encodes natural numbers. trait Nat {} case object Zero extends Nat {} case class Succ(n: Nat) extends Nat {} For instance, ''3'' will be encoded as the value: ''Succ(Succ(Succ(Zero)))''. **5.1.1.** Write a function which implements addition over Nats: def add(n: Nat, m: Nat): Nat = ??? **5.1.2.** Write a function which converts a ''Nat'' to an ''Int'': def toInt(n: Nat): Int = ??? **5.1.3.** Write a function which converts an ''Int'' to a ''Nat''. def fromInt(i: Int): Nat ==== 5.2. Binary Search Trees === In a [[https://en.wikipedia.org/wiki/Binary_search_tree| binary search tree (BST)]], the key of the current node, is always: * **smaller** or equal than **all** keys in the **right** sub-tree. * **larger** or equal than **all** keys in the **left** sub-tree. Consider a binary search tree with keys as integers, encoded as follows: trait ITree {} case object Empty extends ITree case class INode(key: Int, left: ITree, right: ITree) extends ITree **5.2.1.** Create the tree shown below: val tree = ??? /* 5 / \ 2 7 / \ \ 1 3 9 */ **5.2.2.** Implement the method ''size'' which determines the number of non-empty nodes from the BST. **5.2.3.** Define the method ''contains'', which checks if a given integer is a member of the BST. **5.2.4.** Implement the method ''ins'' which inserts a new integer in the BST. **Note:** the insertion must return a new BST (the //binary search tree// property mentioned above must hold after insertion). **5.2.5.** Implement a method ''flatten'' which converts a BST into a list of integers. You must carefully choose the flattening method in such a way as to obtain **a sorted list** from the BST. Hint: you may use the list concatenation operator '':::'' (triple colons; example usage: ''List(1,2,3):::List(4,5)''. **5.2.6.** Implement a method ''depth'' which returns the maximal depth of a BST. Hint: use the method: ''_.max(_)''. **(!) 5.2.8.** Implement a method ''minimum'' which returns the smallest integer from a BST. (If the tree is empty, we return -1). Hint: use the example above, to guide your implementation. **5.2.9.** Implement a similar method ''maximum''. **(!) 5.2.10.** Implement a method ''successor(k)'' which returns **the smallest** integer from the BST, which is **larger** than ''k''. Use the following examples for your implementation: 5 t.successor(2) = 5 / \ t.successor(5) = 6 2 7 t.successor(7) = 8 / \ 6 8 ** (!!) 5.2.11.** Implement a method ''remove(k)'' which removes element ''k'' from the BST.