Types and Classes in Haskell

Slides:



Advertisements
Similar presentations
Haskell Chapter 7. Topics  Defining data types  Exporting types  Type parameters  Derived instances  Type synonyms  Either  Type classes  Not.
Advertisements

ML Datatypes.1 Standard ML Data types. ML Datatypes.2 Concrete Datatypes  The datatype declaration creates new types  These are concrete data types,
Getting started with ML ML is a functional programming language. ML is statically typed: The types of literals, values, expressions and functions in a.
0 PROGRAMMING IN HASKELL Chapter 10 - Declaring Types and Classes.
String is a synonym for the type [Char].
ML: a quasi-functional language with strong typing Conventional syntax: - val x = 5; (*user input *) val x = 5: int (*system response*) - fun len lis =
Chapter ElevenModern Programming Languages1 A Fourth Look At ML.
A Fourth Look At ML Chapter ElevenModern Programming Languages, 2nd ed.1.
0 LECTURE 5 LIST COMPREHENSIONS Graham Hutton University of Nottingham.
5/11/2015IT 3271 Types in ML (Ch 11) datatype bool = true | false; datatype 'element list = nil | :: of 'element * 'element list n Predefined, but not.
Defining new types of data. Defining New Datatypes Ability to add new datatypes in a programming language is important. Kinds of datatypes – enumerated.
Cse536 Functional Programming 1 6/12/2015 Lecture #11, Nov. 01, 2004 Special Guest lecture by Tom Harke Today’s Topics –The Haskell Class system –Instance.
0 PROGRAMMING IN HASKELL Chapter 4 - Defining Functions.
Advanced Programming Handout 9 Qualified Types (SOE Chapter 12)
Cse536 Functional Programming 1 6/28/2015 Lecture #3, Oct 4, 2004 Reading Assignments –Finish chapter 2 and begin Reading chapter 3 of the Text Today’s.
Functional programming: LISP Originally developed for symbolic computing First interactive, interpreted language Dynamic typing: values have types, variables.
0 PROGRAMMING IN HASKELL Chapter 3 - Types and Classes.
CS 2104 : Prog. Lang. Concepts. Functional Programming I Lecturer : Dr. Abhik Roychoudhury School of Computing From Dr. Khoo Siau Cheng’s lecture notes.
0 PROGRAMMING IN HASKELL Typeclasses and higher order functions Based on lecture notes by Graham Hutton The book “Learn You a Haskell for Great Good” (and.
0 PROGRAMMING IN HASKELL Chapter 11 - Interactive Programs, Declaring Types and Classes.
PrasadCS7761 Haskell Data Types/ADT/Modules Type/Class Hierarchy Lazy Functional Language.
Operators, Functions and Modules1 Pattern Matching & Recursion.
0 PROGRAMMING IN HASKELL Based on lecture notes by Graham Hutton The book “Learn You a Haskell for Great Good” (and a few other sources) Modules.
0 REVIEW OF HASKELL A lightening tour in 45 minutes.
Chapter 9: Functional Programming in a Typed Language.
Lee CSCE 314 TAMU 1 CSCE 314 Programming Languages Haskell: Types and Classes Dr. Hyunyoung Lee.
1 Functional Programming Lecture 6 - Algebraic Data Types.
Cs7120 (prasad)L7-TDEF1 Type Definitions. cs7120 (prasad)L7-TDEF2 Concrete Types Primitive types ( int, bool, char, string, etc ) Type constructors (
Overview of the Haskell 98 Programming Language
© M. Winter COSC 4P41 – Functional Programming Modules in Haskell Using modules to structure a large program has a number of advantages: Parts of.
1 CS 457/557: Functional Languages Lists and Algebraic Datatypes Mark P Jones Portland State University.
1 Compiler Construction (CS-636) Muhammad Bilal Bashir UIIT, Rawalpindi.
CSED101 INTRODUCTION TO COMPUTING SUM TYPE 유환조 Hwanjo Yu.
0 PROGRAMMING IN HASKELL Based on lecture notes by Graham Hutton The book “Learn You a Haskell for Great Good” (and a few other sources) Odds and Ends,
More Data Types CSCE 314 Spring CSCE 314 – Programming Studio Defining New Data Types Three ways to define types: 1.type – Define a synonym for.
Defining Classes Modules and ADTs CSCE 314 Spring 2016.
An introduction to functional programming using Haskell CENG242 –Recitation 1.
0 PROGRAMMING IN HASKELL Typeclasses and higher order functions Based on lecture notes by Graham Hutton The book “Learn You a Haskell for Great Good” (and.
© M. Winter COSC 4P41 – Functional Programming Some functions id :: a -> a id x = x const :: a -> b -> a const k _ = k ($) :: (a -> b) -> a -> b.
1 PROGRAMMING IN HASKELL Based on lecture notes by Graham Hutton The book “Learn You a Haskell for Great Good” (and a few other sources) Type declarations.
Polymorphic Functions
Lesson 5 Simple extensions of the typed lambda calculus
Haskell Chapter 7.
String is a synonym for the type [Char].
PROGRAMMING IN HASKELL
Types CSCE 314 Spring 2016.
Koen Lindström Claessen
ML: a quasi-functional language with strong typing
Theory of Computation Lecture 4: Programs and Computable Functions II
Haskell Chapter 2.
MPCS 51400: Functional Programming
CS 326 Programming Languages, Concepts and Implementation
A lightening tour in 45 minutes
Type Definitions cs776 (prasad) L8tdef.
PROGRAMMING IN HASKELL
PROGRAMMING IN HASKELL
PROGRAMMING IN HASKELL
Type & Typeclass Syntax in function
PROGRAMMING IN HASKELL
PROGRAMMING IN HASKELL
CSCE 314: Programming Languages Dr. Dylan Shell
Haskell Types, Classes, and Functions, Currying, and Polymorphism
CSE 3302 Programming Languages
CSCE 314: Programming Languages Dr. Dylan Shell
Defining New Data Types
PROGRAMMING IN HASKELL
PROGRAMMING IN HASKELL
PROGRAMMING IN HASKELL
Review Previously User-defined data types: records, variants
Procedures with optional parameters which do not require matching arguments Example: consider the exponent function which may take one argument, m, in.
Presentation transcript:

Types and Classes in Haskell CSCE 314: Programming Languages Dr. Dylan Shell Types and Classes in Haskell

Outline Data Types Class and Instance Declarations

Defining New Types Three constructs for defining types: data - Define a new data type from scratch, describing its constructors type - Define a synonym for an existing type (like typedef in C) newtype - A restricted form of data that is more efficient when it fits (if the type has exactly one constructor with exactly one field inside it). Used for defining “wrapper” types

Bool is a new type, with two new values False and True. Data Declarations A completely new type can be defined by specifying its values using a data declaration. Bool is a new type, with two new values False and True. data Bool = False | True The two values False and True are called the constructors for the data type Bool. Type and constructor names must begin with an upper-case letter. Data declarations are similar to context free grammars. The former specifies the values of a type, the latter the sentences of a language. More examples from standard Prelude: data () = () -- unit datatype data Char = … | ‘a’ | ‘b’ | …

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

Constructors construct values, or serve as patterns Another example: data Weekday = Mon | Tue | Wed | Thu | Fri | Sat | Sun Constructors construct values, or serve as patterns next :: Weekday -> Weekday next Mon = Tue next Tue = Wed next Wed = Thu next Thu = Fri next Fri = Sat next Sat = Sun next Sun = Mon workDay :: Weekday -> Bool workDay Sat = False workDay Sun = False workDay _ = True

Constructors with Arguments The constructors in a data declaration can also have parameters, e.g.: data Shape = Circle Float | Rect Float Float we can define: square :: Float → Shape square n = Rect n n area :: Shape → Float area (Circle r) = pi * r^2 area (Rect x y) = x * y Shape has values of the form Circle r where r is a float, and Rect x y where x and y are floats. Circle and Rect can be viewed as functions that construct values of type Shape: Circle :: Float → Shape Rect :: Float → Float → Shape

Quiz: What are the types of the constructors Blue and Person? Another example: data Person = Person Name EyeColor Age type Name = String data EyeColor = Brown | Blue | Green type Age = Int With just one constructor in a data type, often constructor is named the same as the type (cf. Person). Now we can do: let x = Person “Jerry” Green 12 y = Person “Tom” Blue 16 in … Quiz: What are the types of the constructors Blue and Person? Blue :: EyeColor Person :: Name -> EyeColor -> Age -> Person

Pattern Matching name (Person n _ _) = n oldBlueEyes (Person _ Blue a) | a > 100 = True oldBlueEyes (Person _ _ _) = False > let yoda = Person “Yoda” Blue 999 in oldBlueEyes yoda True findPrsn n (p@(Person m _ _):ps) | n == m = p | otherwise = findPrsn n ps > findPrsn “Tom” [Person “Yoda” Blue 999, Person “Tom” Brown 7] Person “Tom” Brown 7

Parameterized Data Declarations Not surprisingly, data declarations themselves can also have parameters. For example, given data Pair a b = Pair a b we can define: x = Pair 1 2 y = Pair "Howdy" 42 first :: Pair a b -> a first (Pair x _) = x apply :: (a -> a’)->(b -> b') -> Pair a b -> Pair a' b' apply f g (Pair x y) = Pair (f x) (g y)

Maybe type holds a value (of any type) or holds nothing Another example: Maybe type holds a value (of any type) or holds nothing data Maybe a = Nothing | Just a a is a type parameter, can be bound to any type Just True :: Maybe Bool Just “x” :: Maybe [Char] Nothing :: Maybe a we can define: 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)

String is a synonym for the type [Char]. Type Declarations A new name for an existing type can be defined using a type declaration. String is a synonym for the type [Char]. type String = [Char] Type declarations can be used to make other types easier to read. For example, given type Pos = (Int,Int) we can define: origin :: Pos origin = (0,0) left :: Pos → Pos left (x,y) = (x-1,y)

Like function definitions, type declarations can also have parameters 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)

Type declarations can be nested: type Pos = (Int,Int) type Trans = Pos -> Pos However, they cannot be recursive: type Tree = (Int,[Tree])

Recursive Data Types New types can be declared in terms of themselves. That is, data types can be recursive. Nat is a new type, with constructors Zero :: Nat and Succ :: Nat -> Nat. data Nat = Zero | Succ Nat A 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: Example function: Zero Succ Zero Succ (Succ Zero) . . . add :: Nat -> Nat -> Nat add Zero n = n add (Succ m) n = Succ (add m n)

Parameterized Recursive Data Types - Lists data List a = Nil | Cons a (List a) sum :: List Int -> Int sum Nil = 0 sum (Cons x xs) = x + sum xs > sum Nil > sum (Cons 1 (Cons 2 (Cons 2 Nil))) 5

Arithmetic Expressions Consider a simple form of expressions built up from integers using addition and multiplication. + 1 ∗ 2 3

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

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

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

Trees A binary Tree is either Tnil, or a Node with a value of type a and two subtrees (of type Tree a) data Tree a = Tnil | Node a (Tree a) (Tree a) Find an element: Compute the depth: treeElem :: (a -> Bool) -> Tree a -> Maybe a treeElem p Tnil = Nothing treeElem p t@(Node v left right) | p v = Just v | otherwise = treeElem p left `combine` treeElem p right where combine (Just v) r = Just v combine Nothing r = r depth Tnil = 0 depth (Node _ left right) = 1 + (max (depth left) (depth right))

About Folds A fold operation for Trees: treeFold :: t -> (a -> t -> t -> t) -> Tree a -> t treeFold f g Tnil = f treeFold f g (Node x l r) = g x (treeFold f g l) (treeFold f g r) How? Replace all Tnil constructors with f, all Node constructors with g. > let tt = Node 1 (Node 2 Tnil Tnil) (Node 3 Tnil (Node 4 Tnil Tnil)) > treeFold 1 (\x y z -> 1 + max y z) tt 4 > treeFold 1 (\x y z -> x * y * z) tt 24 > treeFold 0 (\x y z -> x + y + z) tt 10

Deriving Experimenting with the above definitions will give you many errors Data types come with no functionality by default, you cannot, e.g., compare for equality, print (show) values etc. Real definition of Bool data Bool = False | True deriving (Eq, Ord, Enum, Read, Show, Bounded) A few standard type classes can be listed in a deriving clause Implementations for the necessary functions to make a data type an instance of those classes are generated by the compiler deriving can be considered a shortcut, we will discuss the general mechanism later

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.

Outline Data Types Class and Instance Declarations

Type Classes A new class can be declared using the class construct Type classes are classes of types, thus not types themselves Example: class Eq a where (==), (/=) :: a -> a -> Bool -- Minimal complete definition: (==) and (/=) x /= y = not (x == y) x == y = not (x /= y) For a type a to be an instance of the class Eq, it must support equality and inequality operators of the specified types Definitions are given in an instance declaration A class can specify default definitions

Instance Declarations class Eq a where (==), (/=) :: a -> a -> Bool x /= y = not (x == y) x == y = not (x /= y) Let us make Bool be a member of Eq instance Eq Bool where (==) False False = True (==) True True = True (==) _ _ = False Due to the default definition, (/=) need not be defined deriving Eq would generate an equivalent definition

Showable Weekdays class Show a where showsPrec :: Int -> a -> ShowS –- to control parenthesizing show :: a -> String showsPrec _ x s = show x ++ s show x = showsPrec 0 x “” data Weekday = Mon | Tue | Wed | Thu | Fri | Sat | Sun instance Show Weekday where show Mon = “Monday” show Tue = “Tuesday” . . . > map show [Mon, Tue, Wed] [“Monday”, “Tuesday”, “Wednesday”]

Parameterized Instance Declarations Every list is showable if its elements are instance Show a => Show [a] where show [] = “[]” show (x:xs) = “[“ ++ show x ++ showRest xs where showRest [] = “]” showRest (x:xs) = “,” ++ show x ++ showRest xs Now this works: > show [Mon, Tue, Wed] “[Monday,Tuesday,Wednesday]”

Showable, Readable, and Comparable Weekdays data Weekday = Mon | Tue | Wed | Thu | Fri | Sat | Sun deriving (Show, Read, Eq, Ord, Bounded, Enum) *Main> show Wed "Wed” *Main> read "Fri" :: Weekday Fri *Main> Sat Prelude.== Sun False *Main> Sat Prelude.== Sat True *Main> Mon < Tue True *Main> Tue < Tue False *Main> Wed `compare` Thu LT

Bounded and Enumerable Weekdays data Weekday = Mon | Tue | Wed | Thu | Fri | Sat | Sun deriving (Show, Read, Eq, Ord, Bounded, Enum) *Main> pred Fri Thu *Main> [Fri .. Sun] [Fri,Sat,Sun] *Main> [minBound .. maxBound] :: [Weekday] [Mon,Tue,Wed,Thu,Fri,Sat,Sun] *Main> minBound :: Weekday Mon *Main> maxBound :: Weekday Sun *Main> succ Mon Tue