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
.
Reproducibility of output from this generator is however not required, thus
future library versions may use a different internal generator with
different output. Further, this generator may not be portable and can
produce different output depending on the architecture. If you require
reproducible output, use a named RNG, for example XorShiftRng
.
The current algorithm used on all platforms is Xorshift.
Initializing SmallRng
with a random seed can be done using FromEntropy
:
use rand::FromEntropy;
use rand::rngs::SmallRng;
let mut small_rng = SmallRng::from_entropy();
When initializing a lot of SmallRng
's, using thread_rng
can be more
efficient:
use std::iter;
use rand::{SeedableRng, thread_rng};
use rand::rngs::SmallRng;
let mut thread_rng = thread_rng();
let rngs: Vec<SmallRng> = iter::repeat(())
.map(|()| SmallRng::from_rng(&mut thread_rng).unwrap())
.take(10)
.collect();
Performs copy-assignment from source
. Read more
Formats the value using the given formatter. Read more
Seed type, which is restricted to types mutably-dereferencable as u8
arrays (we recommend [u8; N]
for some N
). Read more
Create a new PRNG using the given seed. Read more
Create a new PRNG seeded from another Rng
. Read more
Create a new PRNG using a u64
seed. Read more
Fill dest
entirely with random data. Read more
Return a random value supporting the [Standard
] distribution. Read more
Generate a random value in the range [low
, high
), i.e. inclusive of low
and exclusive of high
. Read more
Sample a new value, using the given distribution. Read more
Important traits for DistIter<'a, D, R, T>
impl<'a, D, R, T> Iterator for DistIter<'a, D, R, T> where
D: Distribution<T>,
R: Rng + 'a, type Item = T;
Create an iterator that generates values using the given distribution. Read more
Fill dest
entirely with random bytes (uniform value distribution), where dest
is any type supporting [AsByteSliceMut
], namely slices and arrays over primitive integer types (i8
, i16
, u32
, etc.). Read more
Fill dest
entirely with random bytes (uniform value distribution), where dest
is any type supporting [AsByteSliceMut
], namely slices and arrays over primitive integer types (i8
, i16
, u32
, etc.). Read more
Return a bool with a probability p
of being true. Read more
Return a random element from values
. Read more
Return a mutable pointer to a random element from values
. Read more
Deprecated since 0.5.0:
use Rng::sample_iter(&Standard) instead
Return an iterator that will yield an infinite number of randomly generated items. Read more
Deprecated since 0.5.0:
use gen_bool instead
Return a bool with a 1 in n chance of true Read more
Deprecated since 0.5.0:
use sample_iter(&Alphanumeric) instead
Return an iterator of random characters from the set A-Z,a-z,0-9. Read more
Creates a new instance, automatically seeded with fresh entropy. Read more
type Owned = T
Creates owned data from borrowed data, usually by cloning. Read more
🔬 This is a nightly-only experimental API. (toowned_clone_into
)
recently added
Uses borrowed data to replace owned data, usually by cloning. Read more
type Error = !
🔬 This is a nightly-only experimental API. (try_from
)
The type returned in the event of a conversion error.
🔬 This is a nightly-only experimental API. (try_from
)
Immutably borrows from an owned value. Read more
Mutably borrows from an owned value. Read more
type Error = <U as TryFrom<T>>::Error
🔬 This is a nightly-only experimental API. (try_from
)
The type returned in the event of a conversion error.
🔬 This is a nightly-only experimental API. (try_from
)
🔬 This is a nightly-only experimental API. (get_type_id
)
this method will likely be replaced by an associated static