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0 PROGRAMMING IN HASKELL Chapter 10 - Declaring Types and Classes.

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Presentation on theme: "0 PROGRAMMING IN HASKELL Chapter 10 - Declaring Types and Classes."— Presentation transcript:

1 0 PROGRAMMING IN HASKELL Chapter 10 - Declaring Types and Classes

2 1 Type Declarations In Haskell, a new name for an existing type can be defined using a type declaration. type String = [Char] String is a synonym for the type [Char].

3 2 Type declarations can be used to make other types easier to read. For example, given origin :: Pos origin = (0,0) left :: Pos  Pos left (x,y) = (x-1,y) type Pos = (Int,Int) we can define:

4 3 Like function definitions, type declarations can also have parameters. For example, given type Pair a = (a,a) we can define: mult :: Pair Int  Int mult (m,n) = m*n copy :: a  Pair a copy x = (x,x)

5 4 Type declarations can be nested: type Pos = (Int,Int) type Trans = Pos  Pos However, they cannot be recursive: type Tree = (Int,[Tree]) Trans is intended to represent a graphics translation: move by (x, y)

6 5 Data Declarations A completely new type can be defined by specifying its values using a data declaration. data Bool = False | True Bool is a new type, with two new values False and True. Data declarations are tree structures with named nodes. A Data declaration creates one or more node names. We’ll see examples below. Until now, the only data structures we’ve had were built in: lists and tuples.

7 6 Note: zThe two values False and True are called the constructors for the type Bool. zType and constructor names must begin with an upper-case letter. zData declarations are similar to context free grammars. The former specifies the values of a type, the latter the sentences of a language.

8 7 answers :: [Answer] answers = [Yes,No,Unknown] flip :: Answer  Answer flip Yes = No flip No = Yes flip Unknown = Unknown data Answer = Yes | No | Unknown we can define: Values of new types can be used in the same ways as those of built in types. For example, given

9 8 The constructors in a data declaration can also have parameters. For example, given data Shape = Circle Float | Rect Float Float square :: Float  Shape square n = Rect n n area :: Shape  Float area (Circle r) = pi * r^2 area (Rect x y) = x * y we can define:

10 9 Note: zShape has values of the form Circle r where r is a float, and Rect x y where x and y are floats. zCircle and Rect can be viewed as functions that construct values of type Shape: Circle :: Float  Shape Rect :: Float  Float  Shape

11 10 Not surprisingly, data declarations themselves can also have parameters. For example, given data Maybe a = Nothing | Just a safediv :: Int  Int  Maybe Int safediv _ 0 = Nothing safediv m n = Just (m `div` n) safehead :: [a]  Maybe a safehead [] = Nothing safehead xs = Just (head xs) we can define: An attempt to be clever with error values.

12 11 Recursive Types In Haskell, new types can be declared in terms of themselves. That is, types can be recursive. data Nat = Zero | Succ Nat Nat is a new type, with constructors Zero :: Nat and Succ :: Nat  Nat. It wouldn’t be a symbolic programming language course without the Natural numbers.

13 12 Note: zA value of type Nat is either Zero, or of the form Succ n where n :: Nat. That is, Nat contains the following infinite sequence of values: Zero Succ Zero Succ (Succ Zero)    Succ \ Succ \ Succ \ Zero Succ (Succ (Succ Zero))

14 13 zWe can think of values of type Nat as natural numbers, where Zero represents 0, and Succ represents the successor function 1+. zFor example, the value Succ (Succ (Succ Zero)) represents the natural number 1 + (1 + (1 + 0))3 =

15 14 Using recursion, it is easy to define functions that convert between values of type Nat and Int: nat2int :: Nat  Int nat2int Zero = 0 nat2int (Succ n) = 1 + nat2int n int2nat :: Int  Nat int2nat 0 = Zero int2nat (n+1) = Succ (int2nat n)

16 15 Two naturals can be added by converting them to integers, adding, and then converting back: However, using recursion the function add can be defined without the need for conversions: add :: Nat  Nat  Nat add m n = int2nat (nat2int m + nat2int n) add Zero n = n add (Succ m) n = Succ (add m n)

17 16 For example: add (Succ (Succ Zero)) (Succ Zero) Succ (add (Succ Zero) (Succ Zero)) = Succ (Succ (add Zero (Succ Zero)) = Succ (Succ (Succ Zero)) = Note: zThe recursive definition for add corresponds to the laws 0+n = n and (1+m)+n = 1+(m+n).

18 17 Arithmetic Expressions Consider a simple form of expressions built up from integers using addition and multiplication. 1 +  32

19 18 Using recursion, a suitable new type to represent such expressions can be declared by: For example, the expression on the previous slide would be represented as follows: data Expr = Val Int | Add Expr Expr | Mul Expr Expr Add (Val 1) (Mul (Val 2) (Val 3)) Add / \ Val Mul | / \ 1 Val Val | | 2 3

20 19 Using recursion, it is now easy to define functions that process expressions. For example: size :: Expr  Int size (Val n) = 1 size (Add x y) = size x + size y size (Mul x y) = size x + size y eval :: Expr  Int eval (Val n) = n eval (Add x y) = eval x + eval y eval (Mul x y) = eval x * eval y The number of nodes in the tree.

21 20 Note: zThe three constructors have types: Val :: Int  Expr Add :: Expr  Expr  Expr Mul :: Expr  Expr  Expr zMany functions on expressions can be defined by replacing the constructors by other functions using a suitable fold function. For example: eval = fold id (+) (*)

22 21 Binary Trees In computing, it is often useful to store data in a two-way branching structure or binary tree

23 22 Using recursion, a suitable new type to represent such binary trees can be declared by: For example, the tree on the previous slide would be represented as follows: data Tree = Leaf Int | Node Tree Int Tree Node (Node (Leaf 1) 3 (Leaf 4)) 5 (Node (Leaf 6) 7 (Leaf 9))

24 23 We can now define a function that decides if a given integer occurs in a binary tree: occurs :: Int  Tree  Bool occurs m (Leaf n) = m==n occurs m (Node l n r) = m==n || occurs m l || occurs m r But… in the worst case, when the integer does not occur, this function traverses the entire tree.

25 24 Now consider the function flatten that returns the list of all the integers contained in a tree: flatten :: Tree  [Int] flatten (Leaf n) = [n] flatten (Node l n r) = flatten l ++ [n] ++ flatten r A tree is a search tree if it flattens to a list that is ordered. Our example tree is a search tree, as it flattens to the ordered list [1,3,4,5,6,7,9].

26 25 Search trees have the important property that when trying to find a value in a tree we can always decide which of the two sub-trees it may occur in: This new definition is more efficient, because it only traverses one path down the tree. occurs m (Leaf n) = m==n occurs m (Node l n r) | m==n = True | mn = occurs m r

27 26 data Tree = Leaf Int | Node Tree Int Tree deriving (Show, Eq) foldTree doNode doLeaf (Node left i right) = doNode (foldTree doNode doLeaf left) i (foldTree doNode doLeaf right) foldTree doNode doLeaf (Leaf i) = doLeaf i The function to apply when the argument is an internal node. The function to apply when the argument is a leaf node Use the default Show and Eq. f = (Node (Node (Leaf 1) 3 (Leaf 4)) 5 (Node (Leaf 6) 7 (Leaf 9))) size = foldTree (\left i right -> left + right + 1) (\_ -> 1) postOrder = foldTree (\ls node rs -> ls ++ rs ++ [node]) (\n -> [n]) Main> f Node (Node (Leaf 1) 3 (Leaf 4)) 5 (Node (Leaf 6) 7 (Leaf 9)) Main> size f 7 The node function. The leaf function.

28 27 data Tree = Leaf Int | Node Tree Int Tree deriving (Show,Eq) data Expr = Val Int | Add Expr Expr | Mul Expr Expr deriving (Show,Eq) foldExpr doVal doAdd doMul (Val i) = doVal i foldExpr doVal doAdd doMul (Add e1 e2) = doAdd (foldExpr doVal doAdd doMul e1) (foldExpr doVal doAdd doMul e2) foldExpr doVal doAdd doMul (Mul e1 e2) = doMul (foldExpr doVal doAdd doMul e1) (foldExpr doVal doAdd doMul e2) -- eval = foldExpr (\a -> a) (\a b -> a + b) (\a b -> a * b) eval = foldExpr id (+) (*)

29 28 Exercises (1) Using recursion and the function add, define a function that multiplies two natural numbers. (2) Define a suitable function fold for expressions, and give a few examples of its use. (3) A binary tree is complete if the two sub-trees of every node are of equal size. Define a function that decides if a binary tree is complete.


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