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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 : u8 {
    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(u64 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.
param2: This parameter depends on the type of distribution used.
fn generate_using(std::random::Distribution distribution, auto param1, auto param2);
std::random::generate
Generates a uniformly distributed random number between min and max
min: Minimum number
max: Maximum number
fn generate(u64 min, u64 max);

Last modified 8mo ago

random

Types

`std::random::Distribution`

Functions

`std::random::set_seed`

`std::random::generate_using`

`std::random::generate`