pub struct StepRng { /* private fields */ }
Expand description
A simple implementation of RngCore
for testing purposes.
This generates an arithmetic sequence (i.e. adds a constant each step)
over a u64
number, using wrapping arithmetic. If the increment is 0
the generator yields a constant.
use rand::Rng;
use rand::rngs::mock::StepRng;
let mut my_rng = StepRng::new(2, 1);
let sample: [u64; 3] = my_rng.gen();
assert_eq!(sample, [2, 3, 4]);
Implementations§
Trait Implementations§
source§impl PartialEq<StepRng> for StepRng
impl PartialEq<StepRng> for StepRng
source§impl RngCore for StepRng
impl RngCore for StepRng
source§fn fill_bytes(&mut self, dest: &mut [u8])
fn fill_bytes(&mut self, dest: &mut [u8])
Fill
dest
with random data. Read moreimpl Eq for StepRng
impl StructuralEq for StepRng
impl StructuralPartialEq for StepRng
Auto Trait Implementations§
impl RefUnwindSafe for StepRng
impl Send for StepRng
impl Sync for StepRng
impl Unpin for StepRng
impl UnwindSafe for StepRng
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
source§impl<R> Rng for Rwhere
R: RngCore + ?Sized,
impl<R> Rng for Rwhere R: RngCore + ?Sized,
source§fn gen<T>(&mut self) -> Twhere
Standard: Distribution<T>,
fn gen<T>(&mut self) -> Twhere Standard: Distribution<T>,
source§fn gen_range<T, R>(&mut self, range: R) -> Twhere
T: SampleUniform,
R: SampleRange<T>,
fn gen_range<T, R>(&mut self, range: R) -> Twhere T: SampleUniform, R: SampleRange<T>,
Generate a random value in the given range. Read more
source§fn sample<T, D>(&mut self, distr: D) -> Twhere
D: Distribution<T>,
fn sample<T, D>(&mut self, distr: D) -> Twhere D: Distribution<T>,
Sample a new value, using the given distribution. Read more
source§fn sample_iter<T, D>(self, distr: D) -> DistIter<D, Self, T> ⓘwhere
D: Distribution<T>,
Self: Sized,
fn sample_iter<T, D>(self, distr: D) -> DistIter<D, Self, T> ⓘwhere D: Distribution<T>, Self: Sized,
Create an iterator that generates values using the given distribution. Read more
source§fn 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 moresource§fn 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