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”
Using /dev/random may require waiting for the result as it uses so-called entropy pool, where random data may not be available at the moment. /dev/urandom returns as many bytes as user requested and thus it is less random than /dev/random. As can be read from the man page: random When read, the /dev/random device will … Read more
Use function Intn from rand package to select a random index. import ( “math/rand” “time” ) // … rand.Seed(time.Now().Unix()) // initialize global pseudo random generator message := fmt.Sprint(“Gonna work from home…”, reasons[rand.Intn(len(reasons))]) Other solution is to use Rand object. s := rand.NewSource(time.Now().Unix()) r := rand.New(s) // initialize local pseudorandom generator r.Intn(len(reasons))
You can call Erlang’s rand module from Elixir code seamlessly. random_number = :rand.uniform(n) Will give a random number from 1 <= x <= n
Java doubles are in IEEE-754 format, therefore they have a 52-bit fraction; between any two adjacent powers of two (inclusive of one and exclusive of the next one), there will therefore be 2 to the 52th power different doubles (i.e., 4503599627370496 of them). For example, that’s the number of distinct doubles between 0.5 included and … Read more
numpy.random.Generator.choice offers a replace argument to sample without replacement: from numpy.random import default_rng rng = default_rng() numbers = rng.choice(20, size=10, replace=False) If you’re on a pre-1.17 NumPy, without the Generator API, you can use random.sample() from the standard library: print(random.sample(range(20), 10)) You can also use numpy.random.shuffle() and slicing, but this will be less efficient: a … Read more