Struct flow_sdk::algorithms::secp256k1::rand::distributions::Standard [−][src]
pub struct Standard;
Expand description
A generic random value distribution, implemented for many primitive types. Usually generates values with a numerically uniform distribution, and with a range appropriate to the type.
Built-in Implementations
Assuming the provided Rng
is well-behaved, these implementations
generate values with the following ranges and distributions:
- Integers (
i32
,u32
,isize
,usize
, etc.): Uniformly distributed over all values of the type. char
: Uniformly distributed over all Unicode scalar values, i.e. all code points in the range0...0x10_FFFF
, except for the range0xD800...0xDFFF
(the surrogate code points). This includes unassigned/reserved code points.bool
: Generatesfalse
ortrue
, each with probability 0.5.- Floating point types (
f32
andf64
): Uniformly distributed in the half-open range[0, 1)
. See notes below. - Wrapping integers (
Wrapping<T>
), besides the type identical to their normal integer variants.
The following aggregate types also implement the distribution Standard
as
long as their component types implement it:
- Tuples and arrays: Each element of the tuple or array is generated
independently, using the
Standard
distribution recursively. Option<T>
whereStandard
is implemented forT
: ReturnsNone
with probability 0.5; otherwise generates a randomx: T
and returnsSome(x)
.
Example
use rand::prelude::*;
use rand::distributions::Standard;
let val: f32 = SmallRng::from_entropy().sample(Standard);
println!("f32 from [0, 1): {}", val);
Floating point implementation
The floating point implementations for Standard
generate a random value in
the half-open interval [0, 1)
, i.e. including 0 but not 1.
All values that can be generated are of the form n * ε/2
. For f32
the 23 most significant random bits of a u32
are used and for f64
the
53 most significant bits of a u64
are used. The conversion uses the
multiplicative method: (rng.gen::<$uty>() >> N) as $ty * (ε/2)
.
See also: Open01
which samples from (0, 1)
, OpenClosed01
which
samples from (0, 1]
and Rng::gen_range(0, 1)
which also samples from
[0, 1)
. Note that Open01
and gen_range
(which uses Uniform
) use
transmute-based methods which yield 1 bit less precision but may perform
faster on some architectures (on modern Intel CPUs all methods have
approximately equal performance).
Trait Implementations
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
impl<A, B, C, D, E, F, G, H, I, J, K, L> Distribution<(A, B, C, D, E, F, G, H, I, J, K, L)> for Standard where
Standard: Distribution<A>,
Standard: Distribution<B>,
Standard: Distribution<C>,
Standard: Distribution<D>,
Standard: Distribution<E>,
Standard: Distribution<F>,
Standard: Distribution<G>,
Standard: Distribution<H>,
Standard: Distribution<I>,
Standard: Distribution<J>,
Standard: Distribution<K>,
Standard: Distribution<L>,
impl<A, B, C, D, E, F, G, H, I, J, K, L> Distribution<(A, B, C, D, E, F, G, H, I, J, K, L)> for Standard where
Standard: Distribution<A>,
Standard: Distribution<B>,
Standard: Distribution<C>,
Standard: Distribution<D>,
Standard: Distribution<E>,
Standard: Distribution<F>,
Standard: Distribution<G>,
Standard: Distribution<H>,
Standard: Distribution<I>,
Standard: Distribution<J>,
Standard: Distribution<K>,
Standard: Distribution<L>,
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
impl<A, B, C, D, E, F, G, H, I, J, K> Distribution<(A, B, C, D, E, F, G, H, I, J, K)> for Standard where
Standard: Distribution<A>,
Standard: Distribution<B>,
Standard: Distribution<C>,
Standard: Distribution<D>,
Standard: Distribution<E>,
Standard: Distribution<F>,
Standard: Distribution<G>,
Standard: Distribution<H>,
Standard: Distribution<I>,
Standard: Distribution<J>,
Standard: Distribution<K>,
impl<A, B, C, D, E, F, G, H, I, J, K> Distribution<(A, B, C, D, E, F, G, H, I, J, K)> for Standard where
Standard: Distribution<A>,
Standard: Distribution<B>,
Standard: Distribution<C>,
Standard: Distribution<D>,
Standard: Distribution<E>,
Standard: Distribution<F>,
Standard: Distribution<G>,
Standard: Distribution<H>,
Standard: Distribution<I>,
Standard: Distribution<J>,
Standard: Distribution<K>,
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
impl<A, B, C, D, E, F, G, H, I, J> Distribution<(A, B, C, D, E, F, G, H, I, J)> for Standard where
Standard: Distribution<A>,
Standard: Distribution<B>,
Standard: Distribution<C>,
Standard: Distribution<D>,
Standard: Distribution<E>,
Standard: Distribution<F>,
Standard: Distribution<G>,
Standard: Distribution<H>,
Standard: Distribution<I>,
Standard: Distribution<J>,
impl<A, B, C, D, E, F, G, H, I, J> Distribution<(A, B, C, D, E, F, G, H, I, J)> for Standard where
Standard: Distribution<A>,
Standard: Distribution<B>,
Standard: Distribution<C>,
Standard: Distribution<D>,
Standard: Distribution<E>,
Standard: Distribution<F>,
Standard: Distribution<G>,
Standard: Distribution<H>,
Standard: Distribution<I>,
Standard: Distribution<J>,
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
impl<A, B, C, D, E, F, G, H, I> Distribution<(A, B, C, D, E, F, G, H, I)> for Standard where
Standard: Distribution<A>,
Standard: Distribution<B>,
Standard: Distribution<C>,
Standard: Distribution<D>,
Standard: Distribution<E>,
Standard: Distribution<F>,
Standard: Distribution<G>,
Standard: Distribution<H>,
Standard: Distribution<I>,
impl<A, B, C, D, E, F, G, H, I> Distribution<(A, B, C, D, E, F, G, H, I)> for Standard where
Standard: Distribution<A>,
Standard: Distribution<B>,
Standard: Distribution<C>,
Standard: Distribution<D>,
Standard: Distribution<E>,
Standard: Distribution<F>,
Standard: Distribution<G>,
Standard: Distribution<H>,
Standard: Distribution<I>,
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
impl<A, B, C, D, E, F, G, H> Distribution<(A, B, C, D, E, F, G, H)> for Standard where
Standard: Distribution<A>,
Standard: Distribution<B>,
Standard: Distribution<C>,
Standard: Distribution<D>,
Standard: Distribution<E>,
Standard: Distribution<F>,
Standard: Distribution<G>,
Standard: Distribution<H>,
impl<A, B, C, D, E, F, G, H> Distribution<(A, B, C, D, E, F, G, H)> for Standard where
Standard: Distribution<A>,
Standard: Distribution<B>,
Standard: Distribution<C>,
Standard: Distribution<D>,
Standard: Distribution<E>,
Standard: Distribution<F>,
Standard: Distribution<G>,
Standard: Distribution<H>,
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
impl<A, B, C, D, E, F, G> Distribution<(A, B, C, D, E, F, G)> for Standard where
Standard: Distribution<A>,
Standard: Distribution<B>,
Standard: Distribution<C>,
Standard: Distribution<D>,
Standard: Distribution<E>,
Standard: Distribution<F>,
Standard: Distribution<G>,
impl<A, B, C, D, E, F, G> Distribution<(A, B, C, D, E, F, G)> for Standard where
Standard: Distribution<A>,
Standard: Distribution<B>,
Standard: Distribution<C>,
Standard: Distribution<D>,
Standard: Distribution<E>,
Standard: Distribution<F>,
Standard: Distribution<G>,
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
impl<A, B, C, D, E, F> Distribution<(A, B, C, D, E, F)> for Standard where
Standard: Distribution<A>,
Standard: Distribution<B>,
Standard: Distribution<C>,
Standard: Distribution<D>,
Standard: Distribution<E>,
Standard: Distribution<F>,
impl<A, B, C, D, E, F> Distribution<(A, B, C, D, E, F)> for Standard where
Standard: Distribution<A>,
Standard: Distribution<B>,
Standard: Distribution<C>,
Standard: Distribution<D>,
Standard: Distribution<E>,
Standard: Distribution<F>,
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
impl<A, B, C, D, E> Distribution<(A, B, C, D, E)> for Standard where
Standard: Distribution<A>,
Standard: Distribution<B>,
Standard: Distribution<C>,
Standard: Distribution<D>,
Standard: Distribution<E>,
impl<A, B, C, D, E> Distribution<(A, B, C, D, E)> for Standard where
Standard: Distribution<A>,
Standard: Distribution<B>,
Standard: Distribution<C>,
Standard: Distribution<D>,
Standard: Distribution<E>,
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
impl<A, B, C, D> Distribution<(A, B, C, D)> for Standard where
Standard: Distribution<A>,
Standard: Distribution<B>,
Standard: Distribution<C>,
Standard: Distribution<D>,
impl<A, B, C, D> Distribution<(A, B, C, D)> for Standard where
Standard: Distribution<A>,
Standard: Distribution<B>,
Standard: Distribution<C>,
Standard: Distribution<D>,
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
impl<A, B, C> Distribution<(A, B, C)> for Standard where
Standard: Distribution<A>,
Standard: Distribution<B>,
Standard: Distribution<C>,
impl<A, B, C> Distribution<(A, B, C)> for Standard where
Standard: Distribution<A>,
Standard: Distribution<B>,
Standard: Distribution<C>,
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
impl<A, B> Distribution<(A, B)> for Standard where
Standard: Distribution<A>,
Standard: Distribution<B>,
impl<A, B> Distribution<(A, B)> for Standard where
Standard: Distribution<A>,
Standard: Distribution<B>,
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Auto Trait Implementations
impl RefUnwindSafe for Standard
impl UnwindSafe for Standard
Blanket Implementations
Mutably borrows from an owned value. Read more
Wrap the input message T
in a tonic::Request
Attaches the provided Subscriber
to this type, returning a
WithDispatch
wrapper. Read more
Attaches the current default Subscriber
to this type, returning a
WithDispatch
wrapper. Read more