Struct flow_sdk::algorithms::rand::rngs::EntropyRng [−][src]
pub struct EntropyRng { /* fields omitted */ }
Expand description
An interface returning random data from external source(s), provided specifically for securely seeding algorithmic generators (PRNGs).
Where possible, EntropyRng
retrieves random data from the operating
system’s interface for random numbers (OsRng
); if that fails it will
fall back to the JitterRng
entropy collector. In the latter case it will
still try to use OsRng
on the next usage.
If no secure source of entropy is available EntropyRng
will panic on use;
i.e. it should never output predictable data.
This is either a little slow (OsRng
requires a system call) or extremely
slow (JitterRng
must use significant CPU time to generate sufficient
jitter); for better performance it is common to seed a local PRNG from
external entropy then primarily use the local PRNG (thread_rng
is
provided as a convenient, local, automatically-seeded CSPRNG).
Panics
On most systems, like Windows, Linux, macOS and *BSD on common hardware, it
is highly unlikely for both OsRng
and JitterRng
to fail. But on
combinations like webassembly without Emscripten or stdweb both sources are
unavailable. If both sources fail, only try_fill_bytes
is able to
report the error, and only the one from OsRng
. The other RngCore
methods will panic in case of an error.
Implementations
Create a new EntropyRng
.
This method will do no system calls or other initialization routines,
those are done on first use. This is done to make new
infallible,
and try_fill_bytes
the only place to report errors.
Trait Implementations
Auto Trait Implementations
impl RefUnwindSafe for EntropyRng
impl Send for EntropyRng
impl Sync for EntropyRng
impl Unpin for EntropyRng
impl UnwindSafe for EntropyRng
Blanket Implementations
Mutably borrows from an owned value. Read more
Wrap the input message T
in a tonic::Request
fn gen_range<T, B1, B2>(&mut self, low: B1, high: B2) -> T where
T: SampleUniform,
B1: SampleBorrow<T>,
B2: SampleBorrow<T>,
fn gen_range<T, B1, B2>(&mut self, low: B1, high: B2) -> T where
T: SampleUniform,
B1: SampleBorrow<T>,
B2: SampleBorrow<T>,
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
fn sample_iter<T, D>(&'a mut self, distr: &'a D) -> DistIter<'a, D, Self, T>ⓘ where
D: Distribution<T>,
fn sample_iter<T, D>(&'a mut self, distr: &'a D) -> DistIter<'a, D, Self, T>ⓘ where
D: Distribution<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 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
use SliceRandom::choose instead
Return a random element from values
. Read more
use SliceRandom::choose_mut instead
Return a mutable pointer to a random element from values
. Read more
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