Warning: this article is out of date as of Swift 1.0 beta 4. Read this updated version instead.

The Swift non-member function map acts much like the Array.map member function, except you can pass in any kind of sequence or collection (click here for an article on how to write an algorithm like this).

But if you look at what map returns, it isn’t an array of results. It’s an object (a MapColectionView or a MapSequenceView ).

That’s because map evaluates its results lazily. When you call map , no mapping takes place. Instead, the input and mapping function are stored for later, and values are only mapped as and when they are needed.

To see this happening, run the following code:

let r = 1...3 let mapped = map(r) { (i: Int) -> Int in println("mapping (i)") return i*2 } println("crickets...") for i in mapped { println("mapped (i)") } println("tumbleweed...") println("index 2 = (mapped[2])") // prints out crickets... mapping 1 mapped 2 mapping 2 mapped 4 mapping 3 mapped 6 tumbleweed... mapping 2 index 2 = 4

The returned object from map mimics the properties from the object passed in. If you pass in a sequence, then you get back a sequence. If the collection you passed in only supported a bidirectional index (such as a Dictionary or a String, which can’t be indexed randomly), then you won’t be able to subscript arbitrarily into the mapped collection, you’ll have to walk through it.

map is not the only lazy function. filter and reverse also return these “view” classes. Combining these different lazily evaluated classes means you can build up quite complicated expressions without sacrificing efficiency.

Want to search backwards through an array or string? find(reverse(myarray), value) won't actually reverse the array to search through it, it just iterates over the ReverseView class, which serves up the array in reverse order.

Want the first 3 odd numbers that are a minimum of two arrays at each position? first_n(filter(map(Zip2(a1, a2), min) {$0%2 == 1}, 3) wont do any more zipping or minning or modding than necessary.123

There are also several lazily generated sequences you can also use:

enumerate numbers each item in a collection — it returns an EnumerateGenerator , that serves up those numbered elements on demand. This is useful in a for (count, val) in enumerate(seq) loop where you want to know both the value and how many values so far.

PermutationGenerator is initialized with a collection and a collection of indices into that collection, and serves up each element at each index in that order (thus allowing you to lazily reorder any collection – for example, PermutationGenerator(elements: a, indices: reverse(a.startIndex.. < a.endIndex)) would be the reverse of a .4

GeneratorOf just takes a closure and runs it each time to generate the next value. So var i = 0;var naturals = GeneratorOf({ ++i }) sets naturals to a sequence that counts up from 1 to infinity (or rather, to overflow).

These infinite virtual sequences can be pretty useful. For example, to do the same thing as enumerate , you could write Zip2(naturals, somecollection) . Or you could pass your infinite sequence into map or filter to generate further inifinite sequences.

(at the opposite end, if you have a single value, but what a function needs is a Sequence , you can use GeneratorOfOne(value) to create a quick sequence that will just serve up just your one value)

It's not all rainbows and unicorn giggles though. Imagine you did the following:

let r = 1...10_000 mapped = map(r) { megaExpensiveOp($0) } let a1 = mapped let a2 = mapped

Here the lazy evaluation will work against you. megaExpensiveOp will be run not ten but twenty thousand times.

“Shouldn't map cache the data?” you ask. Well that leads to the next complication. Take this code:

var i =0 let mapped = map(1...5) { i += 1 return $0 + i }

Every time you iterate over mapped now, you'll get different results.5

This behaviour might be put to very good use (say you wanted to peturb a data set with small random values). But if you weren't expecting it, that could be one nasty bug to track down.

So its good to know when you're using these functions what they are actually doing under the hood. Just keep in mind these caveats and an exciting life of lazy evaluation awaits you in the off-world colonies.