Protocol std::random::Distribution

Probability distributions

Objects implementing Distribution can be used to sample random values using an arbitrary random number generator implementing Rng.

Distributions should be cheap to clone and should not store any state. The state should be stored in the random number generator.

Required methods

• fn sample(self: &Self, rng: &mut R) -> T

  source

  Samples a distribution using a provided random number generator.

Provided methods

• fn sample_iter(self: &Self, rng: &mut R) -> DistIterator<Self, T, R>

  source

  Raturns an iterator producing an infinite stream of values sampled from the distribution.

  Example

  use std::random::{thread_rng, UniformInteger};
  
  let dist = UniformInteger::new(0..=5);
  
  // Prints 10 random numbers between 0 and 5 inclusive
  for i in dist.sample_iter(thread_rng()).take(10) {
      println!("{}", i);
  }
  Run this example