random

Library to generate random numbers. Supports various different distribution types.

Types

std::random::Distribution

Represents the type of distribution to use to generate a random number

enum Distribution :  {
    Bernoulli,
    Binomial,
    Cauchy,
    ChiSquared,
    Exponential,
    ExtremeValue,
    FisherF,
    Gamma,
    Geometric,
    LogNormal,
    NegativeBinomial,
    Normal,
    Poisson,
    StudentT,
    Uniform,
    Weibull
};

Functions

std::random::set_seed

Sets the seed of the random number generator

• seed: Seed to use

fn set_seed( seed);

std::random::generate_using

Generates a random number using the given distribution with the given parameters. The random number generator used internally is C++'s std::mt19937_64 Mersenne Twister implementation.

Distributions

• Uniform(min, max) -> i128
• Normal(mean, stddev) -> double
• Exponential(lambda) -> double
• Gamma(alpha, beta) -> double
• Weibull(a, b) -> double
• ExtremeValue(a, b) -> double
• ChiSquared(n) -> double
• Cauchy(a, b) -> double
• FisherF(m, n) -> double
• StudentT(n) -> double
• LogNormal(m, s) -> double
• Bernoulli(p) -> bool
• Binomial(t, p) -> i128
• NegativeBinomial(k, p) -> i128
• Geometric(p) -> i128
• Poisson(mean) -> i128

• distribution: Distribution to use
• [param1]: This parameter depends on the type of distribution used. Defaults to 0
• [param2]: This parameter depends on the type of distribution used. Defaults to 0

fn generate_using(std::random::Distribution distribution,  param1,  param2);

std::random::generate

Generates a uniformly distributed random number between min and max

• [min]: Minimum number. Defaults to 0
• [max]: Maximum number. Defaults to u64_max

fn generate( min,  max);