pub struct ReadRng<R> { /* private fields */ }
Expand description
An RNG that reads random bytes straight from any type supporting
std::io::Read
, for example files.
This will work best with an infinite reader, but that is not required.
This can be used with /dev/urandom
on Unix but it is recommended to use
OsRng
instead.
Panics
ReadRng
uses std::io::Read::read_exact
, which retries on interrupts.
All other errors from the underlying reader, including when it does not
have enough data, will only be reported through try_fill_bytes
.
The other RngCore
methods will panic in case of an error.
Example
use rand::Rng;
use rand::rngs::adapter::ReadRng;
let data = vec![1, 2, 3, 4, 5, 6, 7, 8];
let mut rng = ReadRng::new(&data[..]);
println!("{:x}", rng.gen::<u32>());
Implementations
Trait Implementations
Auto Trait Implementations
impl<R> RefUnwindSafe for ReadRng<R> where
R: RefUnwindSafe,
impl<R> Send for ReadRng<R> where
R: Send,
impl<R> Sync for ReadRng<R> where
R: Sync,
impl<R> Unpin for ReadRng<R> where
R: Unpin,
impl<R> UnwindSafe for ReadRng<R> where
R: UnwindSafe,
Blanket Implementations
sourceimpl<T> BorrowMut<T> for T where
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
const: unstable · sourcefn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
sourceimpl<R> Rng for R where
R: RngCore + ?Sized,
impl<R> Rng for R where
R: RngCore + ?Sized,
sourcefn gen<T>(&mut self) -> T where
Standard: Distribution<T>,
fn gen<T>(&mut self) -> T where
Standard: Distribution<T>,
sourcefn gen_range<T: SampleUniform, B1, B2>(&mut self, low: B1, high: B2) -> T where
B1: SampleBorrow<T> + Sized,
B2: SampleBorrow<T> + Sized,
fn gen_range<T: SampleUniform, B1, B2>(&mut self, low: B1, high: B2) -> T where
B1: SampleBorrow<T> + Sized,
B2: SampleBorrow<T> + Sized,
Generate a random value in the range [low
, high
), i.e. inclusive of
low
and exclusive of high
. Read more
sourcefn sample<T, D: Distribution<T>>(&mut self, distr: D) -> T
fn sample<T, D: Distribution<T>>(&mut self, distr: D) -> T
Sample a new value, using the given distribution. Read more
sourcefn sample_iter<T, D>(self, distr: D) -> DistIter<D, Self, T>ⓘNotable traits for DistIter<D, R, T>impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;
where
D: Distribution<T>,
Self: Sized,
fn sample_iter<T, D>(self, distr: D) -> DistIter<D, Self, T>ⓘNotable traits for DistIter<D, R, T>impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;
where
D: Distribution<T>,
Self: Sized,
D: Distribution<T>,
R: Rng, type Item = T;
Create an iterator that generates values using the given distribution. Read more
sourcefn fill<T: AsByteSliceMut + ?Sized>(&mut self, dest: &mut T)
fn fill<T: AsByteSliceMut + ?Sized>(&mut self, dest: &mut T)
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
sourcefn try_fill<T: AsByteSliceMut + ?Sized>(
&mut self,
dest: &mut T
) -> Result<(), Error>
fn try_fill<T: AsByteSliceMut + ?Sized>(
&mut self,
dest: &mut T
) -> Result<(), Error>
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
sourcefn gen_bool(&mut self, p: f64) -> bool
fn gen_bool(&mut self, p: f64) -> bool
Return a bool with a probability p
of being true. Read more
sourcefn gen_ratio(&mut self, numerator: u32, denominator: u32) -> bool
fn gen_ratio(&mut self, numerator: u32, denominator: u32) -> bool
Return a bool with a probability of numerator/denominator
of being
true. I.e. gen_ratio(2, 3)
has chance of 2 in 3, or about 67%, of
returning true. If numerator == denominator
, then the returned value
is guaranteed to be true
. If numerator == 0
, then the returned
value is guaranteed to be false
. Read more