In Swift there is actually a protocol for enums called CaseIterable that, if you add it to your enum, you can just reference all of the cases as a collection with .allCases as so: enum GeometryClassification: CaseIterable { case Circle case Square case Triangle } and then you can .allCases and then .randomElement() to get … Read more
2 reasons: You have to initalize the global Source used by rand.Intn() and other functions of the rand package using rand.Seed(). For example: rand.Seed(time.Now().UnixNano()) See possible duplicate of Difficulty with Go Rand package. Quoting from package doc of rand: Top-level functions, such as Float64 and Int, use a default shared Source that produces a deterministic … Read more
Kotlin 1.3 and above: Kotlin 1.3 is now available with Multiplatform Random Number Generator! You can use it like this : import kotlin.random.Random fun main() { println(Random.nextBoolean()) println(Random.nextInt()) } Try it online! or in your case fun main() { val list = (1..9).filter { it % 2 == 0 } println(list.random()) } Try it online! … Read more
You’ll want to use the order and limit methods instead. You can get rid of the all. For PostgreSQL and SQLite: User.order(“RANDOM()”).limit(10) Or for MySQL: User.order(“RAND()”).limit(10)
You can give a range as the first argument to rand, as in rand(1:n): julia> rand(1:10) 7 julia> rand(1:10,10,10) 10×10 Array{Int64,2}: 10 2 5 8 5 5 3 7 1 3 5 1 4 2 4 4 1 6 6 9 8 1 3 9 4 8 7 8 7 10 3 8 1 5 … Read more
Short Answer: Just generate N random numbers, compute their sum, divide each one by the sum and multiply by M. Longer Answer: The above solution does not yield a uniform distribution which might be an issue depending on what these random numbers are used for. Another method proposed by Matti Virkkunen: Generate N-1 random numbers … Read more
You can just use Lodash for this as it’s a built-in module: pm.environment.set(“random_number”, _.random(1, 5)) Or just add the number 5 to the _.random() function and this will be a number from 0 to 5.
I found this example at Go Cookbook, which is equivalent to rand.Range(min, max int) (if that function existed): rand.Intn(max – min) + min Don’t forget to seed the PRNG before calling any rand function. rand.Seed(time.Now().UnixNano())
This generates a random number between 0 (inclusive) and 100 (exclusive) using Rng::gen_range: use rand::Rng; // 0.8.5 fn main() { // Generate random number in the range [0, 99] let num = rand::thread_rng().gen_range(0..100); println!(“{}”, num); } Don’t forget to add the rand dependency to Cargo.toml: [dependencies] rand = “0.8”