I suppose this is a question that must get asked for every language, but when you write for example:
while i < array.count {
...
}
does array.count get evaluated each time the loop runs? Is it better to store it in a let constant before running the loop like this?
let length = array.count
while i < length {
...
}
Array gets the count property because it conforms to Collection. The documentation for count in Collection states
Complexity: O(1) if the collection conforms to RandomAccessCollection; otherwise, O(n), where n is the length of the collection.
Source
Since Array also conforms to RandomAccessCollection, it is a constant time operation to get the count of the array. There shouldn't be any major performance difference between getting it once at the start vs every loop iteration.
while loops (and do while loops) have their predicates evaluated on each iteration.
for loops evaluate the sequences once.
Here's is a demonstration:
var array: [Int]
print("Test Case 1 - while i < array.count")
array = [1, 2, 3, 4, 5, 6]
var i = 0
while i < array.count {
print(array[i])
if i < 3 { array.append(123) }
i += 1
}
print("\r\nTest Case 2 - for i in array.indices")
array = [1, 2, 3, 4, 5, 6]
for i in array.indices {
print(array[i])
if i < 3 { array.append(123) }
}
print("\r\nTest Case 3 - for i in 0 ..< array.count")
array = [1, 2, 3, 4, 5, 6]
for i in 0 ..< array.count {
print(array[i])
if i < 3 { array.append(123) }
}
Test Case 1 - while i < array.count
1
2
3
4
5
6
123
123
123
Test Case 2 - for i in array.indices
1
2
3
4
5
6
Test Case 3 - for i in 0 ..< array.count
1
2
3
4
5
6
Yes it's evaluated on each iteration.
Assigning to a constant will be slightly more performant. However with all of the optimisations in a modern compiler I wouldn't bother. Unless the loop count is going to be humongous.
Careful with for loops like the following. Since elems.count is part of a range that gets constructed once at the top of the loop, it is evaluated exactly once. The following code will die when i = 4:
var elems = [1, 2, 3, 4, 5, 6]
for i in 0 ..< elems.count {
if i % 2 == 0 { // remove even elements
elems.remove(at: i)
}
}
The array.count in your while does indeed get evaluated each time the condition is evaluated.
Yes, it gets called every time
Let's run a simple test, first of all we need the following Array Extension
extension Array {
var myCustomCount: Int {
print("myCustomCount")
return self.count
}
}
And then we can try this code
let nums = [1, 2, 3, 4, 5]
var i = 0
while i < nums.myCustomCount {
i += 1
}
The output is
myCustomCount
myCustomCount
myCustomCount
myCustomCount
myCustomCount
myCustomCount
Related
This might be rather stupid question. I would like to know if different nuances/extent of randomness would be possible using arc4random_uniform in Swift. Here's an example:
let number = arc4random_uniform(10) + 1
print(number)
In this case, a number will be printed randomly from 1 to 10. But is there a way that I can repeat the random result, 2 to 3 times? The result would be something like this:
1, 1, 6, 6, 6, 3, 3, 8, 8, 9, 9, 9 ...
// 1) Randomly selected and 2) repeated 2 to 3 times randomly.
Perhaps I might use two arc4random_uniform functions together, but cannot express them properly. Would be much appreciated if you could give me some suggestions. <3
In order to do this, you will need to generate two values: your random value and a repeatCount. Also, you'll need to remember both of those values so that you can repeat the value. You can do this with a custom class:
class RandomWithRepeats {
var range: ClosedRange<Int>
var repeatRange: ClosedRange<Int>
var repeatCount = 0
var value = 0
init(range: ClosedRange<Int>, repeatRange: ClosedRange<Int>) {
self.range = range
self.repeatRange = repeatRange
}
// generate a random number in a range
// Just use Int.random(in:) with Swift 4.2 and later
func random(in range: ClosedRange<Int>) -> Int {
return Int(arc4random_uniform(UInt32(range.upperBound - range.lowerBound + 1))) + range.lowerBound
}
func nextValue() -> Int {
// if repeatCount is 0, its time to generate a new value and
// a new repeatCount
if repeatCount == 0 {
// For Swift 4.2, just use Int.random(in:) instead
value = self.random(in: range)
repeatCount = self.random(in: repeatRange)
}
repeatCount -= 1
return value
}
}
Example:
let rand = RandomWithRepeats(range: 1...10, repeatRange: 2...3)
// generate 20 random repeated numbers
for _ in 1...20
{
print(rand.nextValue(), terminator: " ")
}
6 6 6 8 8 8 10 10 10 2 2 9 9 5 5 8 8 8 5 5
With regards to the nuances of random number generators: have a look at GKRandomSource.
What you're doing here is not really making something less random, or modifying the parameters in the random number generator. You're simply applying an operation (with one random parameter) to a collection of random integers.
extension Collection {
func duplicateItemsRandomly(range: CountableClosedRange<Int>) -> [Element] {
return self.reduce(into: [Element](), { (acc, element) in
let distance = UInt32(range.upperBound - range.lowerBound + 1)
let count = Int(arc4random_uniform(distance) + UInt32(range.lowerBound))
let result = Array.init(repeating: element, count: count)
acc.append(contentsOf: result)
})
}
}
let sequence = [1, 6, 3, 8, 9]
sequence.duplicateItemsRandomly(range: 2...3)
// [1, 1, 6, 6, 6, 3, 3, 3, 8, 8, 8, 9, 9, 9]
P.S: If you're writing this code in Swift 4.2, please use Int.random(in:).
I'd suggest a custom Sequence:
class RepeatingRandomSequence : Sequence {
let rangeLow, rangeSpan : UInt32
let repeatLow, repeatSpan : UInt32
init(range:Range<UInt32>, count:Range<UInt32>) {
rangeLow = range.lowerBound
rangeSpan = range.upperBound - range.lowerBound + 1
repeatLow = count.lowerBound
repeatSpan = count.upperBound - count.lowerBound + 1
}
func makeIterator() -> AnyIterator<UInt32> {
var count : UInt32 = 0
var value : UInt32 = 0
return AnyIterator {
if(count <= 0) {
count = arc4random_uniform(self.repeatSpan) + self.repeatLow
value = arc4random_uniform(self.rangeSpan) + self.rangeLow
}
defer { count = count - 1 }
return value
}
}
}
let sequence = RepeatingRandomSequence(range: 0..<10, count: 2..<3)
let randoms = sequence.makeIterator()
Note that the iterator, randoms now generates an endless sequence of random numbers using randoms.next() Since the sequence is endless, many things aren't particularly useful, like sort, map, etc. You could however use it like:
for value in random {
print(value)
if(value == 9) { // or any other termination condition
break
}
}
Or more conventionally, as:
(0..<10).forEach { _ in
print(String(describing: random.next()))
}
To find how many ways we have of making change for the amount 4 given the coins [1,2,3], we can create a DP algorithm that produces the following table:
table[amount][coins.count]
0 1 2 3 4
-----------
(0) 1 | 1 1 1 1 1
(1) 2 | 1 1 2 2 3
(2) 3 | 1 1 2 3 4
The last position being our answer. The answer is 4 because we have the following combinations: [1,1,1,1],[2,1],[2,2],[3,1].
My question is, is it possible to retrieve these combinations from the table I just generated? How?
For completeness, here's my algorithm
func coinChange(coins: [Int], amount: Int) -> Int {
// int[amount+1][coins]
var table = Array<Array<Int>>(repeating: Array<Int>(repeating: 0, count: coins.count), count: amount + 1)
for i in 0..<coins.count {
table[0][i] = 1
}
for i in 1...amount {
for j in 0..<coins.count {
//solutions that include coins[j]
let x = i - coins[j] >= 0 ? table[i - coins[j]][j] : 0
//solutions that don't include coins[j]
let y = j >= 1 ? table[i][j-1] : 0
table[i][j] = x + y
}
}
return table[amount][coins.count - 1];
}
Thanks!
--
Solution
Here's an ugly function that retrieves the combinations, based on #Sayakiss 's explanation:
func getSolution(_ i: Int, _ j: Int) -> [[Int]] {
if j < 0 || i < 0 {
//not a solution
return []
}
if i == 0 && j == 0 {
//valid solution. return an empty array where the coins will be appended
return [[]]
}
return getSolution(i - coins[j], j).map{var a = $0; a.append(coins[j]);return a} + getSolution(i, j - 1)
}
getSolution(amount, coins.count-1)
Output:
[[1, 3], [2, 2], [1, 1, 2], [1, 1, 1, 1]]
Sure you can. We define a new function get_solution(i,j) which means all solution for your table[i][j].
You can think it returns an array of array, for example, the output of get_solution(4,3) is [[1,1,1,1],[2,1],[2,2],[3,1]]. Then:
Case 1. Any solution from get_solution(i - coins[j], j) plus coins[j] is a solution for table[i][j].
Case 2. Any solution from get_solution(i, j - 1) is a solution for table[i][j].
You can prove Case 1 + Case 2 is all possible solution for table[i][j](note you get table[i][j] by this way).
The only problem remains is to implement get_solution(i,j) and I think it's good for you to do it by yourself.
If you still got any question, please don't hesitate to leave a comment here.
I am trying to solve the second problem on Project Euler. The problem is as follows:
Each new term in the Fibonacci sequence is generated by adding the previous two terms. By starting with 1 and 2, the first 10 terms will be:
1, 2, 3, 5, 8, 13, 21, 34, 55, 89, ...
By considering the terms in the Fibonacci sequence whose values do not exceed four million, find the sum of the even-valued terms.
I think I've written a solution, but when I try to run my code it crashes my Swift playground and gives me this error message:
Playground execution aborted: Execution was interrupted, reason: EXC_BAD_INSTRUCTION (code=EXC_I386_INVOP, subcode=0x0)
var prev = 0
var next = 1
var num = 0
var sum = 0
for var i = 1; i < 400; i++ {
num = prev + next
if next % 2 == 0 {
sum += next
}
prev = next
next = num
}
print(sum)
The weird thing is, if I set the counter on my loop to less than 93, it works fine. Explicitly setting the variable names to Double does not help. Anyone know what's going on here?
There is nothing weird about this at all. Do you know how large the 400 fibonacci number is?
176023680645013966468226945392411250770384383304492191886725992896575345044216019675
Swift Int64 or UInt64 simply cannot handle that large of a number. The later can go up to 18446744073709551615 at max - not even close.
If you change your variables to be doubles it works but will be inaccurate:
var prev : Double = 0
var next : Double = 1
var num : Double = 0
var sum : Double = 0
will yield
2.84812298108489e+83
which is kind of close to the actual value of
1.76e+83
Luckily you do not need to get values that big. I would recommend not writing a for loop but a while loop that calculates the next fibonacci number until the break condition is met whose values do not exceed four million.
The Fibonacci numbers become very large quickly. To compute large Fibonacci numbers, you need to implement some kind of BigNum. Here is a version the makes a BigNum that is implemented internally as an array of digits. For example, 12345 is implemented internally as [1, 2, 3, 4, 5]. This makes it easy to represent arbitrarily large numbers.
Addition is implemented by making the two arrays the same size, then map is used to add the elements, finally the carryAll function restores the array to single digits.
For example 12345 + 67:
[1, 2, 3, 4, 5] + [6, 7] // numbers represented as arrays
[1, 2, 3, 4, 5] + [0, 0, 0, 6, 7] // pad the shorter array with 0's
[1, 2, 3, 10, 12] // add the arrays element-wise
[1, 2, 4, 1, 2] // perform carry operation
Here is the implementation of BigNum. It is also CustomStringConvertible which makes it possible to print the result as a String.
struct BigNum: CustomStringConvertible {
var arr = [Int]()
// Return BigNum value as a String so it can be printed
var description: String { return arr.map(String.init).joined() }
init(_ arr: [Int]) {
self.arr = carryAll(arr)
}
// Allow BigNum to be initialized with an `Int`
init(_ i: Int = 0) {
self.init([i])
}
// Perform the carry operation to restore the array to single
// digits
func carryAll(_ arr: [Int]) -> [Int] {
var result = [Int]()
var carry = 0
for val in arr.reversed() {
let total = val + carry
let digit = total % 10
carry = total / 10
result.append(digit)
}
while carry > 0 {
let digit = carry % 10
carry = carry / 10
result.append(digit)
}
return result.reversed()
}
// Enable two BigNums to be added with +
static func +(_ lhs: BigNum, _ rhs: BigNum) -> BigNum {
var arr1 = lhs.arr
var arr2 = rhs.arr
let diff = arr1.count - arr2.count
// Pad the arrays to the same length
if diff < 0 {
arr1 = Array(repeating: 0, count: -diff) + arr1
} else if diff > 0 {
arr2 = Array(repeating: 0, count: diff) + arr2
}
return BigNum(zip(arr1, arr2).map { $0 + $1 })
}
}
// This function is based upon this question:
// https://stackoverflow.com/q/52975875/1630618
func fibonacci(to n: Int) {
guard n >= 2 else { return }
var array = [BigNum(0), BigNum(1)]
for i in 2...n {
array.append(BigNum())
array[i] = array[i - 1] + array[i - 2]
print(array[i])
}
}
fibonacci(to: 400)
Output:
1
2
3
5
8
...
67235063181538321178464953103361505925388677826679492786974790147181418684399715449
108788617463475645289761992289049744844995705477812699099751202749393926359816304226
176023680645013966468226945392411250770384383304492191886725992896575345044216019675
I am trying to find the odd numbers and a multiple of 7 between a 1 to 100 and append them into an array. I have got this far:
var results: [Int] = []
for n in 1...100 {
if n / 2 != 0 && 7 / 100 == 0 {
results.append(n)
}
}
Your conditions are incorrect. You want to use "modular arithmetic"
Odd numbers are not divisible by 2. To check this use:
if n % 2 != 0
The % is the mod function and it returns the remainder of the division (e.g. 5 / 2 is 2.5 but integers don't have decimals, so the integer result is 2 with a remainder of 1 and 5 / 2 => 2 and 5 % 2 => 1)
To check if it's divisible by 7, use the same principle:
if n % 7 == 0
The remainder is 0 if the dividend is divisible by the divisor. The complete if condition is:
if n % 2 != 0 && n % 7 == 0
You can also use n % 2 == 1 because the remainder is always 1. The result of any mod function, a % b, is always between 0 and b - 1.
Or, using the new function isMultiple(of:, that final condition would be:
if !n.isMultiple(of: 2) && n.isMultiple(of: 7)
Swift 5:
Since Swift 5 has been released, you could use isMultiple(of:) method.
In your case, you should check if it is not multiple of ... :
if !n.isMultiple(of: 2)
Swift 5 is coming with isMultiple(of:) method for integers , so you can try
let res = Array(1...100).filter { !$0.isMultiple(of:2) && $0.isMultiple(of:7) }
Here is an efficient and concise way of getting the odd multiples of 7 less than or equal to 100 :
let results: [Int] = Array(stride(from: 7, through: 100, by: 14))
You can also use the built-in filter to do an operation on only qualified members of an array. Here is how that'd go in your case for example
var result = Array(1...100).filter { (number) -> Bool in
return (number % 2 != 0 && number % 7 == 0)
}
print(result) // will print [7, 21, 35, 49, 63, 77, 91]
You can read more about filter in the doc but here is the basics: it goes through each element and collects elements that return true on the condition. So it filters the array and returns what you want
I have this code:
let items = [1, 2, 3]
let sep = 0
I want to insert sep between every two elements of items to get a result similar to this:
newItems = [1, 0, 2, 0, 3]
Is there a concise way to do this through functional programming in Swift? Something similar to String.join(), but for arrays.
(Note: The answer has been updated for Swift 3 and later with the help of Brandon's answer and ober's answer).
This does the trick:
let items = [1, 2, 3]
let sep = 0
let newItems = Array(items.map { [$0] }.joined(separator: [sep]))
print(newItems) // [1, 0, 2, 0, 3]
items.map { [ $0 ] } creates an array of single-element arrays, and joined(separator: [sep]) then interposes the separator and concatenates
the elements. The result is a JoinedSequence from which we can create an Array.
As it turns out (benchmarks below) it is quite expensive to create many temporary arrays. This can be avoided by using “single-element collections”:
let newItems = Array(items.map(CollectionOfOne.init).joined(separator: CollectionOfOne(sep)))
Another possible solution is
let newItems = (0 ..< 2 * items.count - 1).map { $0 % 2 == 0 ? items[$0/2] : sep }
which maps even indices to the corresponding element of items,
and odd indices to the separator. This turns out to be the fastest solution for large arrays.
Benchmark: With items containing 1,000,000 elements, compiled in Release mode on a 2.3 GHz Intel Core i7 MacBook Pro, I measured the following approximate execution times:
First method (map + joined with arrays): 0.28 seconds.
Second method (map + joined with CollectionOfOne): 0.035 seconds.
Third method (using only map): 0.015 seconds.
converted to swift 5
extension Array {
func insert(separator: Element) -> [Element] {
(0 ..< 2 * count - 1).map { $0 % 2 == 0 ? self[$0/2] : separator }
}
}
Here is the original answer converted to Swift 3/4
let items = [1, 2, 3]
let sep = 0
let newItems = Array(items.map { [$0] }.joined(separator: [sep]))
print(newItems) // [1, 0, 2, 0, 3]