[−][src]Struct rand::prng::chacha::ChaChaRng
A cryptographically secure random number generator that uses the ChaCha algorithm.
ChaCha is a stream cipher designed by Daniel J. Bernstein 1, that we use as an RNG. It is an improved variant of the Salsa20 cipher family, which was selected as one of the "stream ciphers suitable for widespread adoption" by eSTREAM 2.
ChaCha uses add-rotate-xor (ARX) operations as its basis. These are safe against timing attacks, although that is mostly a concern for ciphers and not for RNGs. Also it is very suitable for SIMD implementation. Here we do not provide a SIMD implementation yet, except for what is provided by auto-vectorisation.
With the ChaCha algorithm it is possible to choose the number of rounds the core algorithm should run. The number of rounds is a tradeoff between performance and security, where 8 rounds is the minimum potentially secure configuration, and 20 rounds is widely used as a conservative choice. We use 20 rounds in this implementation, but hope to allow type-level configuration in the future.
We use a 64-bit counter and 64-bit stream identifier as in Benstein's
implementation 1 except that we use a stream identifier in place of a
nonce. A 64-bit counter over 64-byte (16 word) blocks allows 1 ZiB of output
before cycling, and the stream identifier allows 264 unique
streams of output per seed. Both counter and stream are initialized to zero
but may be set via set_word_pos
and set_stream
.
The word layout is:
constant constant constant constant
seed seed seed seed
seed seed seed seed
counter counter nonce nonce
This implementation uses an output buffer of sixteen u32
words, and uses
BlockRng
to implement the RngCore
methods.
-
D. J. Bernstein, ChaCha, a variant of Salsa20 ↩
Methods
impl ChaChaRng
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impl ChaChaRng
pub fn new_unseeded() -> ChaChaRng
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pub fn new_unseeded() -> ChaChaRng
: use the FromEntropy or SeedableRng trait
Create an ChaCha random number generator using the default fixed key of 8 zero words.
Examples
use rand::{RngCore, ChaChaRng}; let mut ra = ChaChaRng::new_unseeded(); println!("{:?}", ra.next_u32()); println!("{:?}", ra.next_u32());
Since this equivalent to a RNG with a fixed seed, repeated executions of an unseeded RNG will produce the same result. This code sample will consistently produce:
- 2917185654
- 2419978656
pub fn set_stream(&mut self, stream: u64)
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pub fn set_stream(&mut self, stream: u64)
Set the stream number.
This is initialized to zero; 264 unique streams of output are available per seed/key.
Note that in order to reproduce ChaCha output with a specific 64-bit
nonce, one can convert that nonce to a u64
in little-endian fashion
and pass to this function. In theory a 96-bit nonce can be used by
passing the last 64-bits to this function and using the first 32-bits as
the most significant half of the 64-bit counter (which may be set
indirectly via set_word_pos
), but this is not directly supported.
Trait Implementations
impl From<ChaChaCore> for ChaChaRng
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impl From<ChaChaCore> for ChaChaRng
fn from(core: ChaChaCore) -> Self
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fn from(core: ChaChaCore) -> Self
Performs the conversion.
impl Clone for ChaChaRng
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impl Clone for ChaChaRng
fn clone(&self) -> ChaChaRng
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fn clone(&self) -> ChaChaRng
Returns a copy of the value. Read more
fn clone_from(&mut self, source: &Self)
1.0.0[src]
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from source
. Read more
impl Debug for ChaChaRng
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impl Debug for ChaChaRng
fn fmt(&self, f: &mut Formatter) -> Result
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fn fmt(&self, f: &mut Formatter) -> Result
Formats the value using the given formatter. Read more
impl SeedableRng for ChaChaRng
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impl SeedableRng for ChaChaRng
type Seed = <ChaChaCore as SeedableRng>::Seed
Seed type, which is restricted to types mutably-dereferencable as u8
arrays (we recommend [u8; N]
for some N
). Read more
fn from_seed(seed: Self::Seed) -> Self
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fn from_seed(seed: Self::Seed) -> Self
Create a new PRNG using the given seed. Read more
fn from_rng<R: RngCore>(rng: R) -> Result<Self, Error>
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fn from_rng<R: RngCore>(rng: R) -> Result<Self, Error>
Create a new PRNG seeded from another Rng
. Read more
fn seed_from_u64(state: u64) -> Self
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fn seed_from_u64(state: u64) -> Self
Create a new PRNG using a u64
seed. Read more
impl RngCore for ChaChaRng
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impl RngCore for ChaChaRng
fn next_u32(&mut self) -> u32
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fn next_u32(&mut self) -> u32
Return the next random u32
. Read more
fn next_u64(&mut self) -> u64
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fn next_u64(&mut self) -> u64
Return the next random u64
. Read more
fn fill_bytes(&mut self, dest: &mut [u8])
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fn fill_bytes(&mut self, dest: &mut [u8])
Fill dest
with random data. Read more
fn try_fill_bytes(&mut self, dest: &mut [u8]) -> Result<(), Error>
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fn try_fill_bytes(&mut self, dest: &mut [u8]) -> Result<(), Error>
Fill dest
entirely with random data. Read more
impl CryptoRng for ChaChaRng
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impl CryptoRng for ChaChaRng
Auto Trait Implementations
Blanket Implementations
impl<R> Rng for R where
R: RngCore + ?Sized,
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impl<R> Rng for R where
R: RngCore + ?Sized,
fn gen<T>(&mut self) -> T where
Standard: Distribution<T>,
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fn gen<T>(&mut self) -> T where
Standard: Distribution<T>,
Return a random value supporting the [Standard
] distribution. Read more
fn gen_range<T: PartialOrd + SampleUniform>(&mut self, low: T, high: T) -> T
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fn gen_range<T: PartialOrd + SampleUniform>(&mut self, low: T, high: T) -> T
Generate a random value in the range [low
, high
), i.e. inclusive of low
and exclusive of high
. Read more
fn sample<T, D: Distribution<T>>(&mut self, distr: D) -> T
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fn sample<T, D: Distribution<T>>(&mut self, distr: D) -> T
Sample a new value, using the given distribution. Read more
ⓘImportant traits for DistIter<'a, D, R, T>fn sample_iter<'a, T, D: Distribution<T>>(
&'a mut self,
distr: &'a D
) -> DistIter<'a, D, Self, T> where
Self: Sized,
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fn sample_iter<'a, T, D: Distribution<T>>(
&'a mut self,
distr: &'a D
) -> DistIter<'a, D, Self, T> where
Self: Sized,
Create an iterator that generates values using the given distribution. Read more
fn fill<T: AsByteSliceMut + ?Sized>(&mut self, dest: &mut T)
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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
fn try_fill<T: AsByteSliceMut + ?Sized>(
&mut self,
dest: &mut T
) -> Result<(), Error>
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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
fn gen_bool(&mut self, p: f64) -> bool
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fn gen_bool(&mut self, p: f64) -> bool
Return a bool with a probability p
of being true. Read more
fn choose<'a, T>(&mut self, values: &'a [T]) -> Option<&'a T>
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fn choose<'a, T>(&mut self, values: &'a [T]) -> Option<&'a T>
Return a random element from values
. Read more
fn choose_mut<'a, T>(&mut self, values: &'a mut [T]) -> Option<&'a mut T>
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fn choose_mut<'a, T>(&mut self, values: &'a mut [T]) -> Option<&'a mut T>
Return a mutable pointer to a random element from values
. Read more
fn shuffle<T>(&mut self, values: &mut [T])
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fn shuffle<T>(&mut self, values: &mut [T])
Shuffle a mutable slice in place. Read more
ⓘImportant traits for Generator<T, R>fn gen_iter<T>(&mut self) -> Generator<T, &mut Self> where
Standard: Distribution<T>,
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fn gen_iter<T>(&mut self) -> Generator<T, &mut Self> where
Standard: Distribution<T>,
: use Rng::sample_iter(&Standard) instead
Return an iterator that will yield an infinite number of randomly generated items. Read more
fn gen_weighted_bool(&mut self, n: u32) -> bool
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fn gen_weighted_bool(&mut self, n: u32) -> bool
: use gen_bool instead
Return a bool with a 1 in n chance of true Read more
ⓘImportant traits for AsciiGenerator<R>fn gen_ascii_chars(&mut self) -> AsciiGenerator<&mut Self>
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fn gen_ascii_chars(&mut self) -> AsciiGenerator<&mut Self>
: use sample_iter(&Alphanumeric) instead
Return an iterator of random characters from the set A-Z,a-z,0-9. Read more
impl<R> FromEntropy for R where
R: SeedableRng,
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impl<R> FromEntropy for R where
R: SeedableRng,
fn from_entropy() -> R
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fn from_entropy() -> R
Creates a new instance, automatically seeded with fresh entropy. Read more
impl<T, U> Into for T where
U: From<T>,
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impl<T, U> Into for T where
U: From<T>,
impl<T> ToOwned for T where
T: Clone,
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impl<T> ToOwned for T where
T: Clone,
type Owned = T
fn to_owned(&self) -> T
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fn to_owned(&self) -> T
Creates owned data from borrowed data, usually by cloning. Read more
fn clone_into(&self, target: &mut T)
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fn clone_into(&self, target: &mut T)
🔬 This is a nightly-only experimental API. (toowned_clone_into
)
recently added
Uses borrowed data to replace owned data, usually by cloning. Read more
impl<T> From for T
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impl<T> From for T
impl<T, U> TryFrom for T where
T: From<U>,
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impl<T, U> TryFrom for T where
T: From<U>,
type Error = !
try_from
)The type returned in the event of a conversion error.
fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
try_from
)Performs the conversion.
impl<T> Borrow for T where
T: ?Sized,
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impl<T> Borrow for T where
T: ?Sized,
impl<T> BorrowMut for T where
T: ?Sized,
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impl<T> BorrowMut for T where
T: ?Sized,
fn borrow_mut(&mut self) -> &mut T
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fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
impl<T, U> TryInto for T where
U: TryFrom<T>,
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impl<T, U> TryInto for T where
U: TryFrom<T>,
type Error = <U as TryFrom<T>>::Error
try_from
)The type returned in the event of a conversion error.
fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>
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fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>
try_from
)Performs the conversion.
impl<T> Any for T where
T: 'static + ?Sized,
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impl<T> Any for T where
T: 'static + ?Sized,
fn get_type_id(&self) -> TypeId
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fn get_type_id(&self) -> TypeId
🔬 This is a nightly-only experimental API. (get_type_id
)
this method will likely be replaced by an associated static
Gets the TypeId
of self
. Read more