▼ |  | The Typed Racket Guide

1 | Quick Start
2 | Beginning Typed Racket
3 | Specifying Types
4 | Types in Typed Racket
5 | Occurrence Typing
6 | Typed-Untyped Interaction
7 | Optimization in Typed Racket
8 | Caveats and Limitations

► | 2 | Beginning Typed Racket

2.1 | Datatypes and Unions
2.2 | Type Errors

On this page:

2.1`` Datatypes and Unions
2.2`` Type Errors

7.2
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### 2`` Beginning Typed Racket

Recall the typed module from Quick Start:

> #lang typed/racket
> (struct pt ([x : Real] [y : Real]))
> (: distance (-> pt pt Real))
> (define (distance p1 p2)
> (sqrt (+ (sqr (- (pt-x p2) (pt-x p1)))
> (sqr (- (pt-y p2) (pt-y p1))))))

Let us consider each element of this program in turn.

> #lang typed/racket

This specifies that the module is written in the typed/racket language, which is a typed version of the racket language. Typed versions of other languages are provided as well; for example, the typed/racket/base language corresponds to racket/base.

> (struct pt ([x : Real] [y : Real]))

> > > Typed Racket provides modified versions of core Racket forms, which permit type annotations. Previous versions of Typed Racket provided these with a : suffix, but these are now only included as legacy forms for backwards compatibility.

This defines a new structure, named pt, with two fields, x and y. Both fields are specified to have the type Real, which corresponds to the real numbers. The struct form corresponds to its untyped counterpart from racket—when porting a program from racket to typed/racket, simply add type annotations to existing field declarations.

> (: distance (-> pt pt Real))

This declares that distance has the type (-> pt pt Real).

The type (-> pt pt Real) is a function type, that is, the type of a procedure. The input type, or domain, is two arguments of type pt, which refers to an instance of the pt structure. The -> indicates that this is a function type. The range type, or output type, is the last element in the function type, in this case Real.

If you are familiar with contracts, the notation for function types is similar to function contract combinators.

> (define (distance p1 p2)
> (sqrt (+ (sqr (- (pt-x p2) (pt-x p1)))
> (sqr (- (pt-y p2) (pt-y p1))))))

This definition is unchanged from the untyped version of the code. The goal of Typed Racket is to allow almost all definitions to be typechecked without change. The typechecker verifies that the body of the function has the type Real, under the assumption that p1 and p2 have type pt, taking these types from the earlier type declaration. Since the body does have this type, the program is accepted.

In the Typed Racket REPL, calling distance will show the result as usual and will also print the result’s type:

> > (distance (pt 0 0) (pt 3.1415 2.7172))
> - : Real
> 4.153576541969583

Just evaluating the function name will print the function value and its type, which can be useful for discovering the types that Typed Racket ascribes to Racket functions. Alternatively, the :print-type command will just print the type:

> > distance
> - : (-> pt pt Real)
> #<procedure:distance>
> > string-length
> - : (-> String Index)
> #<procedure:string-length>
> > (:print-type string-ref)
> (-> String Integer Char)

#### 2.1`` Datatypes and Unions

Many data structures involve multiple variants. In Typed Racket, we represent these using union types, written (U t1 t2 ...).

> #lang typed/racket
> (define-type Tree (U leaf node))
> (struct leaf ([val : Number]))
> (struct node ([left : Tree] [right : Tree]))
> (: tree-height (-> Tree Integer))
> (define (tree-height t)
> (cond [(leaf? t) 1]
> [else (max (+ 1 (tree-height (node-left t)))
> (+ 1 (tree-height (node-right t))))]))
> (: tree-sum (-> Tree Number))
> (define (tree-sum t)
> (cond [(leaf? t) (leaf-val t)]
> [else (+ (tree-sum (node-left t))
> (tree-sum (node-right t)))]))

In this module, we have defined two new datatypes: leaf and node. We’ve also defined the type name Tree to be (U node leaf), which represents a binary tree of numbers. In essence, we are saying that the tree-height function accepts a Tree, which is either a node or a leaf, and produces a number.

In order to calculate interesting facts about trees, we have to take them apart and get at their contents. But since accessors such as node-left require a node as input, not a Tree, we have to determine which kind of input we were passed.

For this purpose, we use the predicates that come with each defined structure. For example, the leaf? predicate distinguishes leafs from all other Typed Racket values. Therefore, in the first branch of the cond clause in tree-sum, we know that t is a leaf, and therefore we can get its value with the leaf-val function.

In the else clauses of both functions, we know that t is not a leaf, and since the type of t was Tree by process of elimination we can determine that t must be a node. Therefore, we can use accessors such as node-left and node-right with t as input.

The process by which Typed Racket type-checks the bodies of the cond clauses, using information from the predicate checks, is called occurrence typing and is described in detail in Occurrence Typing.

#### 2.2`` Type Errors

When Typed Racket detects a type error in the module, it raises an error before running the program.

Example:

> > (add1 "not a number")
> eval:9:0: Type Checker: type mismatch
> expected: Number
> given: String
> in: "not a number"

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