A double-ended queue. For some reason this is pronounced as "deck".
A regular queue adds elements to the back and removes from the front. The deque also allows enqueuing at the front and dequeuing from the back, and peeking at both ends.
Here is a very basic implementation of a deque in Swift:
public struct Deque<T> {
private var array = [T]()
public var isEmpty: Bool {
return array.isEmpty
}
public var count: Int {
return array.count
}
public mutating func enqueue(_ element: T) {
array.append(element)
}
public mutating func enqueueFront(_ element: T) {
array.insert(element, atIndex: 0)
}
public mutating func dequeue() -> T? {
if isEmpty {
return nil
} else {
return array.removeFirst()
}
}
public mutating func dequeueBack() -> T? {
if isEmpty {
return nil
} else {
return array.removeLast()
}
}
public func peekFront() -> T? {
return array.first
}
public func peekBack() -> T? {
return array.last
}
}
This uses an array internally. Enqueuing and dequeuing are simply a matter of adding and removing items from the front or back of the array.
An example of how to use it in a playground:
var deque = Deque<Int>()
deque.enqueue(1)
deque.enqueue(2)
deque.enqueue(3)
deque.enqueue(4)
deque.dequeue() // 1
deque.dequeueBack() // 4
deque.enqueueFront(5)
deque.dequeue() // 5
This particular implementation of Deque
is simple but not very efficient. Several operations are O(n), notably enqueueFront()
and dequeue()
. I've included it only to show the principle of what a deque does.
The reason that dequeue()
and enqueueFront()
are O(n) is that they work on the front of the array. If you remove an element at the front of an array, what happens is that all the remaining elements need to be shifted in memory.
Let's say the deque's array contains the following items:
[ 1, 2, 3, 4 ]
Then dequeue()
will remove 1
from the array and the elements 2
, 3
, and 4
, are shifted one position to the front:
[ 2, 3, 4 ]
This is an O(n) operation because all array elements need to be moved by one position in the computer's memory.
Likewise, inserting an element at the front of the array is expensive because it requires that all other elements must be shifted one position to the back. So enqueueFront(5)
will change the array to be:
[ 5, 2, 3, 4 ]
First, the elements 2
, 3
, and 4
are moved up by one position in the computer's memory, and then the new element 5
is inserted at the position where 2
used to be.
Why is this not an issue at for enqueue()
and dequeueBack()
? Well, these operations are performed at the end of the array. The way resizable arrays are implemented in Swift is by reserving a certain amount of free space at the back.
Our initial array [ 1, 2, 3, 4]
actually looks like this in memory:
[ 1, 2, 3, 4, x, x, x ]
where the x
s denote additional positions in the array that are not being used yet. Calling enqueue(6)
simply copies the new item into the next unused spot:
[ 1, 2, 3, 4, 6, x, x ]
The dequeueBack()
function uses array.removeLast()
to delete that item. This does not shrink the array's memory but only decrements array.count
by one. There are no expensive memory copies involved here. So operations at the back of the array are fast, O(1).
It is possible the array runs out of free spots at the back. In that case, Swift will allocate a new, larger array and copy over all the data. This is an O(n) operation but because it only happens once in a while, adding new elements at the end of an array is still O(1) on average.
Of course, we can use this same trick at the beginning of the array. That will make our deque efficient too for operations at the front of the queue. Our array will look like this:
[ x, x, x, 1, 2, 3, 4, x, x, x ]
There is now also a chunk of free space at the start of the array, which allows adding or removing elements at the front of the queue to be O(1) as well.
Here is the new version of Deque
:
public struct Deque<T> {
private var array: [T?]
private var head: Int
private var capacity: Int
private let originalCapacity:Int
public init(_ capacity: Int = 10) {
self.capacity = max(capacity, 1)
originalCapacity = self.capacity
array = [T?](repeating: nil, count: capacity)
head = capacity
}
public var isEmpty: Bool {
return count == 0
}
public var count: Int {
return array.count - head
}
public mutating func enqueue(_ element: T) {
array.append(element)
}
public mutating func enqueueFront(_ element: T) {
// this is explained below
}
public mutating func dequeue() -> T? {
// this is explained below
}
public mutating func dequeueBack() -> T? {
if isEmpty {
return nil
} else {
return array.removeLast()
}
}
public func peekFront() -> T? {
if isEmpty {
return nil
} else {
return array[head]
}
}
public func peekBack() -> T? {
if isEmpty {
return nil
} else {
return array.last!
}
}
}
It still largely looks the same -- enqueue()
and dequeueBack()
haven't changed -- but there are also a few important differences. The array now stores objects of type T?
instead of just T
because we need some way to mark array elements as being empty.
The init
method allocates a new array that contains a certain number of nil
values. This is the free room we have to work with at the beginning of the array. By default this creates 10 empty spots.
The head
variable is the index in the array of the front-most object. Since the queue is currently empty, head
points at an index beyond the end of the array.
[ x, x, x, x, x, x, x, x, x, x ]
|
head
To enqueue an object at the front, we move head
one position to the left and then copy the new object into the array at index head
. For example, enqueueFront(5)
gives:
[ x, x, x, x, x, x, x, x, x, 5 ]
|
head
Followed by enqueueFront(7)
:
[ x, x, x, x, x, x, x, x, 7, 5 ]
|
head
And so on... the head
keeps moving to the left and always points at the first item in the queue. enqueueFront()
is now O(1) because it only involves copying a value into the array, a constant-time operation.
Here is the code:
public mutating func enqueueFront(element: T) {
head -= 1
array[head] = element
}
Appending to the back of the queue has not changed (it's the exact same code as before). For example, enqueue(1)
gives:
[ x, x, x, x, x, x, x, x, 7, 5, 1, x, x, x, x, x, x, x, x, x ]
|
head
Notice how the array has resized itself. There was no room to add the 1
, so Swift decided to make the array larger and add a number of empty spots to the end. If you enqueue another object, it gets added to the next empty spot in the back. For example, enqueue(2)
:
[ x, x, x, x, x, x, x, x, 7, 5, 1, 2, x, x, x, x, x, x, x, x ]
|
head
Note: You won't see those empty spots at the back of the array when you
print(deque.array)
. This is because Swift hides them from you. Only the ones at the front of the array show up.
The dequeue()
method does the opposite of enqueueFront()
, it reads the value at head
, sets the array element back to nil
, and then moves head
one position to the right:
public mutating func dequeue() -> T? {
guard head < array.count, let element = array[head] else { return nil }
array[head] = nil
head += 1
return element
}
There is one tiny problem... If you enqueue a lot of objects at the front, you're going to run out of empty spots at the front at some point. When this happens at the back of the array, Swift automatically resizes it. But at the front of the array we have to handle this situation ourselves, with some extra logic in enqueueFront()
:
public mutating func enqueueFront(element: T) {
if head == 0 {
capacity *= 2
let emptySpace = [T?](repeating: nil, count: capacity)
array.insert(contentsOf: emptySpace, at: 0)
head = capacity
}
head -= 1
array[head] = element
}
If head
equals 0, there is no room left at the front. When that happens, we add a whole bunch of new nil
elements to the array. This is an O(n) operation but since this cost gets divided over all the enqueueFront()
s, each individual call to enqueueFront()
is still O(1) on average.
Note: We also multiply the capacity by 2 each time this happens, so if your queue grows bigger and bigger, the resizing happens less often. This is also what Swift arrays automatically do at the back.
We have to do something similar for dequeue()
. If you mostly enqueue a lot of elements at the back and mostly dequeue from the front, then you may end up with an array that looks as follows:
[ x, x, x, x, x, x, x, x, x, x, x, x, x, x, x, x, x, x, x, x, 1, 2, 3 ]
|
head
Those empty spots at the front only get used when you call enqueueFront()
. But if enqueuing objects at the front happens only rarely, this leaves a lot of wasted space. So let's add some code to dequeue()
to clean this up:
public mutating func dequeue() -> T? {
guard head < array.count, let element = array[head] else { return nil }
array[head] = nil
head += 1
if capacity >= originalCapacity && head >= capacity*2 {
let amountToRemove = capacity + capacity/2
array.removeFirst(amountToRemove)
head -= amountToRemove
capacity /= 2
}
return element
}
Recall that capacity
is the original number of empty places at the front of the queue. If the head
has advanced more to the right than twice the capacity, then it's time to trim off a bunch of these empty spots. We reduce it to about 25%.
Note: The deque will keep at least its original capacity by comparing
capacity
tooriginalCapacity
.
For example, this:
[ x, x, x, x, x, x, x, x, x, x, x, x, x, x, x, x, x, x, x, x, 1, 2, 3 ]
| |
capacity head
becomes after trimming:
[ x, x, x, x, x, 1, 2, 3 ]
|
head
capacity
This way we can strike a balance between fast enqueuing and dequeuing at the front and keeping the memory requirements reasonable.
Note: We don't perform trimming on very small arrays. It's not worth it for saving just a few bytes of memory.
Other ways to implement deque are by using a doubly linked list, a circular buffer, or two stacks facing opposite directions.
A fully-featured deque implementation in Swift
Written for Swift Algorithm Club by Matthijs Hollemans