Chapter 2: Data Abstraction 2.2 An Abstraction for Inductive Data Types Recall inductive BNF definition of binary trees: ::= | ( ) To write programs using.

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Chapter 2: Data Abstraction 2.2 An Abstraction for Inductive Data Types Recall inductive BNF definition of binary trees: ::= | ( ) To write programs using bintree, we'll need:  constructors for different kinds of bintrees (like Java)  a predicate for telling whether an object is a bintree (unlike Java, because Scheme types are dynamic)  a way of telling whether bintree is leaf or interior  a way of getting out the leaf or interior component

Use Dr. Scheme's built-in define-datatype form: Language → Choose Language... → Essentials of P.L. An Abstraction for Inductive Data Types ( define-datatype bintree bintree? (leaf-node (datum number?)) (interior-node (key symbol?) (left bintree?) (right bintree?))) What is this doing?

Defines a datatype bintree, with predicate bintree? (define-datatype bintree bintree? A bintree is either (interior-node (key symbol?) (left bintree?) (right bintree?)))  a leaf node consisting of a datum, which is a number (leaf-node (datum number?))  an interior node consisting of a key that is a symbol, a left child that is a bintree, and a right child that is a bintree

Creates a dataype with the following interface: (define-datatype bintree bintree? A 1-argument procedure for constructing a leaf node, with a test to make sure that the argument is a number (leaf-node (datum number?)) A 3-argument procedure for building an interior node, with a test for the first arg being a symbol and the second and third being a bintree (interior-node (key symbol?) (left bintree?) (right bintree?)))

General format: (define-datatype type-name type-predicate-name { ( variant-name { ( field-name predicate ) }*}+ ) More on define-datatype (define-datatype bintree bintree? (leaf-node (datum number?))

(define leaf-sum (lambda (tree) (cases bintree tree (leaf-node (datum) datum) (interior-node (key left right) (+ (leaf-sum left) (leaf-sum right)))))) Determining variants via cases (Essentially, a pattern-matcher)

Determining variants via cases Supports type-checking: > (define tree-a (interior-node 'a (leaf-node 2) (leaf-node 3))) > (leaf-sum tree-a) 5 > (leaf-sum 'foo) case: not a bintree: foo

Determining variants via cases General format: (cases type-name expression { ( variant-name ( {field-name}* ) consequent ) }* (cases bintree tree (interior-node (key left right) (+ (leaf-sum left) (leaf-sum right))))))