Struct solana_evm_loader_program::scope::evm::secp256k1::rand::distributions::Normal

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pub struct Normal { /* fields omitted */ }

[−] Expand description

The normal distribution N(mean, std_dev**2).

This uses the ZIGNOR variant of the Ziggurat method, see StandardNormal for more details.

Note that StandardNormal is an optimised implementation for mean 0, and standard deviation 1.

Example

use rand::distributions::{Normal, Distribution};

// mean 2, standard deviation 3
let normal = Normal::new(2.0, 3.0);
let v = normal.sample(&mut rand::thread_rng());
println!("{} is from a N(2, 9) distribution", v)

Implementations

impl Normal[−]

pub fn new(mean: f64, std_dev: f64) -> Normal[−]

Construct a new Normal distribution with the given mean and standard deviation.

Panics

Panics if std_dev < 0.

Trait Implementations

impl Clone for Normal[+]

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pub fn clone(&self) -> Normal[−]

Returns a copy of the value.

pub fn clone_from(&mut self, source: &Self)[−]

Performs copy-assignment from source.

impl Copy for Normal

impl Debug for Normal[+]

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pub fn fmt(&self, f: &mut Formatter<'_>) -> Result<(), Error>[−]

Formats the value using the given formatter.

impl Distribution<f64> for Normal[+]

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pub fn sample<R>(&self, rng: &mut R) -> f64 where
    R: Rng + ?Sized, [−]

Generate a random value of T, using rng as the source of randomness.

pub fn sample_iter<R>(&'a self, rng: &'a mut R) -> DistIter<'a, Self, R, T> where
    R: Rng, [−]

Create an iterator that generates random values of T, using rng as the source of randomness.