Module codegame::prelude::distributions

Structs

Alphanumeric	Sample a char, uniformly distributed over ASCII letters and numbers: a-z, A-Z and 0-9.
Bernoulli	The Bernoulli distribution.
Beta	Deprecated The Beta distribution with shape parameters alpha and beta.
Binomial	Deprecated The binomial distribution Binomial(n, p).
Cauchy	Deprecated The Cauchy distribution Cauchy(median, scale).
ChiSquared	Deprecated The chi-squared distribution χ²(k), where k is the degrees of freedom.
Dirichlet	Deprecated The dirichelet distribution Dirichlet(alpha).
DistIter	An iterator that generates random values of T with distribution D, using R as the source of randomness.
Exp	Deprecated The exponential distribution Exp(lambda).
Exp1	Deprecated Samples floating-point numbers according to the exponential distribution, with rate parameter λ = 1. This is equivalent to Exp::new(1.0) or sampling with -rng.gen::<f64>().ln(), but faster.
FisherF	Deprecated The Fisher F distribution F(m, n).
Gamma	Deprecated The Gamma distribution Gamma(shape, scale) distribution.
LogNormal	Deprecated The log-normal distribution ln N(mean, std_dev**2).
Normal	Deprecated The normal distribution N(mean, std_dev**2).
Open01	A distribution to sample floating point numbers uniformly in the open interval (0, 1), i.e. not including either endpoint.
OpenClosed01	A distribution to sample floating point numbers uniformly in the half-open interval (0, 1], i.e. including 1 but not 0.
Pareto	Deprecated Samples floating-point numbers according to the Pareto distribution
Poisson	Deprecated The Poisson distribution Poisson(lambda).
Standard	A generic random value distribution, implemented for many primitive types. Usually generates values with a numerically uniform distribution, and with a range appropriate to the type.
StandardNormal	Deprecated Samples floating-point numbers according to the normal distribution N(0, 1) (a.k.a. a standard normal, or Gaussian). This is equivalent to Normal::new(0.0, 1.0) but faster.
StudentT	Deprecated The Student t distribution, t(nu), where nu is the degrees of freedom.
Triangular	Deprecated The triangular distribution.
Uniform	Sample values uniformly between two bounds.
UnitCircle	Deprecated Samples uniformly from the edge of the unit circle in two dimensions.
UnitCircleInside
UnitSphereSurface	Deprecated Samples uniformly from the surface of the unit sphere in three dimensions.
Weibull	Deprecated Samples floating-point numbers according to the Weibull distribution
WeightedIndex	A distribution using weighted sampling to pick a discretely selected item.

Enums

BernoulliError	Error type returned from Bernoulli::new.
WeightedError	Error type returned from WeightedIndex::new.

Traits

Distribution

Types (distributions) that can be used to create a random instance of T.