Expand description
Re-export of rand 0.4
This can be used instead of the deprecated rand 0.4 in crates that for reasons of compatibility need to depend on both a current version and 0.4.
Modules
The ChaCha random number generator.
Sampling from random distributions.
The ISAAC random number generator.
Non-physical true random number generator based on timing jitter.
Interfaces to the operating system provided random number
generators.
A wrapper around any Read to treat it as an RNG.
A wrapper around another RNG that reseeds it after it
generates a certain number of random bytes.
Functions for randomly accessing and sampling sequences.
Structs
Iterator which will continuously generate random ascii characters.
A random number generator that uses the ChaCha20 algorithm [1].
A wrapper for generating floating point numbers uniformly in the
closed interval
[0,1] (including both endpoints).Iterator which will generate a stream of random items.
A random number generator that uses ISAAC-64[1], the 64-bit
variant of the ISAAC algorithm.
A random number generator that uses the ISAAC algorithm[1].
A true random number generator based on jitter in the CPU execution time,
and jitter in memory access time.
A wrapper for generating floating point numbers uniformly in the
open interval
(0,1) (not including either endpoint).A random number generator that retrieves randomness straight from
the operating system. Platform sources:
The standard RNG. This is designed to be efficient on the current
platform.
The thread-local RNG.
An Xorshift[1] random number
generator.
Traits
A type that can be randomly generated using an
Rng.A random number generator.
A random number generator that can be explicitly seeded to produce
the same stream of randomness multiple times.
Functions
Generates a random value using the thread-local random number generator.
sampleDeprecated
DEPRECATED: use
seq::sample_iter instead.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>().Create a weak random number generator with a default algorithm and seed.