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| fp:lab05 [2022/03/28 13:35] pdmatei | fp:lab05 [2022/03/31 08:53] (current) pdmatei | ||
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| ===== 5. Functional data representation ===== | ===== 5. Functional data representation ===== | ||
| - | ===== 5.1. Nats ==== | + | ==== 5.1. Nats === | 
| + | |||
| + | Consider the following toy implementation of the type ''Nat'' which encodes natural numbers. | ||
| <code scala> | <code scala> | ||
| Line 8: | Line 10: | ||
| case class Succ(n: Nat) extends Nat {} | case class Succ(n: Nat) extends Nat {} | ||
| </code> | </code> | ||
| + | |||
| + | For instance, ''3'' will be encoded as the value: ''Succ(Succ(Succ(Zero)))''. | ||
| + | |||
| + | **5.1.1.** Write a function which implements addition over Nats: | ||
| + | <code scala> | ||
| + | def add(n: Nat, m: Nat): Nat = ??? | ||
| + | </code> | ||
| + | |||
| + | **5.1.2.** Write a function which converts a ''Nat'' to an ''Int'': | ||
| + | <code scala> | ||
| + | def toInt(n: Nat): Int = ??? | ||
| + | </code> | ||
| + | |||
| + | **5.1.3.** Write a function which converts an ''Int'' to a ''Nat''.  | ||
| + | <code scala> | ||
| + | def fromInt(i: Int): Nat | ||
| + | </code> | ||
| + | |||
| + | ==== 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: | ||
| + | <code scala> | ||
| + | trait ITree {} | ||
| + | case object Empty extends ITree | ||
| + | case class INode(key: Int, left: ITree, right: ITree) extends ITree | ||
| + | </code> | ||
| + | |||
| + | **5.2.1.** Create the tree shown below: | ||
| + | <code scala> | ||
| + | val tree = ??? | ||
| + | /* | ||
| + | 5 | ||
| + | / \ | ||
| + | 2  7 | ||
| + | / \ \  | ||
| + | 1  3 9 | ||
| + | */ | ||
| + | </code> | ||
| + | |||
| + | **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: | ||
| + | <code> | ||
| + | 5 t.successor(2) = 5  | ||
| + | / \ t.successor(5) = 6 | ||
| + | 2 7  t.successor(7) = 8 | ||
| + | / \  | ||
| + | 6 8 | ||
| + | </code> | ||
| + | |||
| + | ** (!!) 5.2.11.** Implement a method ''remove(k)'' which removes element ''k'' from the BST. | ||