Module peroxide::macros::matlab_macro
source · Structs
An RNG recommended when small state, cheap initialization and good
performance are required. The PRNG algorithm in
SmallRng is chosen to be
efficient on the current platform, without consideration for cryptography
or security. The size of its state is much smaller than for StdRng.The standard RNG. The PRNG algorithm in
StdRng is chosen to be efficient
on the current platform, to be statistically strong and unpredictable
(meaning a cryptographically secure PRNG).The type returned by
thread_rng, essentially just a reference to the
PRNG in thread-local memory.Traits
A marker trait used to indicate that an
RngCore or BlockRngCore
implementation is supposed to be cryptographically secure.Types (distributions) that can be used to create a random instance of
T.A convenience extension to
SeedableRng allowing construction from fresh
entropy. This trait is automatically implemented for any PRNG implementing
SeedableRng and is not intended to be implemented by users.An automatically-implemented extension trait on
RngCore providing high-level
generic methods for sampling values and other convenience methods.The core of a random number generator.
A random number generator that can be explicitly seeded.
Functions
Generates a random value using the thread-local random number generator.
Retrieve the lazily-initialized thread-local random number
generator, seeded by the system. Intended to be used in method
chaining style, e.g.
thread_rng().gen::<i32>(), or cached locally, e.g.
let mut rng = thread_rng();.