你自己的枚举
像 Rust 中的大多数抽象一样,随机值生成是由特征驱动的。对于任何特定类型,实现 trait 都是相同的,唯一的区别是 trait 的方法和类型是什么。
兰德 0.5、0.6、0.7 和 0.8
使用您的枚举作为类型参数来实现Distribution。您还需要选择特定类型的分发; Standard 是一个不错的默认选择。然后使用任意一种方法生成一个值,比如rand::random:
use rand::{
distributions::{Distribution, Standard},
Rng,
}; // 0.8.0
#[derive(Debug)]
enum Spinner {
One,
Two,
Three,
}
impl Distribution<Spinner> for Standard {
fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> Spinner {
// match rng.gen_range(0, 3) { // rand 0.5, 0.6, 0.7
match rng.gen_range(0..=2) { // rand 0.8
0 => Spinner::One,
1 => Spinner::Two,
_ => Spinner::Three,
}
}
}
fn main() {
let spinner: Spinner = rand::random();
println!("{:?}", spinner);
}
兰德 0.4
为您的枚举实现Rand,然后使用任何方法生成一个值,例如Rng::gen:
extern crate rand; // 0.4.2
use rand::{Rand, Rng};
#[derive(Debug)]
enum Spinner {
One,
Two,
Three,
}
impl Rand for Spinner {
fn rand<R: Rng>(rng: &mut R) -> Self {
match rng.gen_range(0, 3) {
0 => Spinner::One,
1 => Spinner::Two,
_ => Spinner::Three,
}
}
}
fn main() {
let mut rng = rand::thread_rng();
let spinner: Spinner = rng.gen();
println!("{:?}", spinner);
}
导出
rand_derive crate 可以消除对这些样板的需要,但对于 Rand 0.5 不存在。
extern crate rand;
#[macro_use]
extern crate rand_derive;
use rand::Rng;
#[derive(Debug, Rand)]
enum Spinner {
One,
Two,
Three,
}
fn main() {
let mut rng = rand::thread_rng();
let spinner: Spinner = rng.gen();
println!("{:?}", spinner);
}
别人的枚举
由于您不控制枚举,因此您必须将 something 复制到您的代码中才能引用它。您可以从中创建一个枚举数组和choose:
use rand::seq::SliceRandom; // 0.8.0
mod another_crate {
#[derive(Debug)]
pub enum Spinner {
One,
Two,
Three,
}
}
fn main() {
let mut rng = rand::thread_rng();
let spinners = [
another_crate::Spinner::One,
another_crate::Spinner::Two,
another_crate::Spinner::Three,
];
let spinner = spinners.choose(&mut rng).unwrap();
println!("{:?}", spinner);
}
您可以在本地复制整个枚举,为此实现 Rand,然后有一个方法可以转换回其他 crates 表示。
use rand::{
distributions::{Distribution, Standard},
Rng,
}; // 0.8.0
mod another_crate {
#[derive(Debug)]
pub enum Spinner {
One,
Two,
Three,
}
}
enum Spinner {
One,
Two,
Three,
}
impl From<Spinner> for another_crate::Spinner {
fn from(other: Spinner) -> another_crate::Spinner {
match other {
Spinner::One => another_crate::Spinner::One,
Spinner::Two => another_crate::Spinner::Two,
Spinner::Three => another_crate::Spinner::Three,
}
}
}
impl Distribution<Spinner> for Standard {
fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> Spinner {
match rng.gen_range(0..=2) {
0 => Spinner::One,
1 => Spinner::Two,
_ => Spinner::Three,
}
}
}
fn main() {
let spinner = another_crate::Spinner::from(rand::random::<Spinner>());
println!("{:?}", spinner);
}
您可以数数旋转器的数量并进行匹配:
use rand::Rng; // 0.8.0
mod another_crate {
#[derive(Debug)]
pub enum Spinner {
One,
Two,
Three,
}
}
fn rando<R: Rng>(mut rng: R) -> another_crate::Spinner {
match rng.gen_range(0..=2) {
0 => another_crate::Spinner::One,
1 => another_crate::Spinner::Two,
_ => another_crate::Spinner::Three,
}
}
fn main() {
let mut rng = rand::thread_rng();
let spinner = rando(&mut rng);
println!("{:?}", spinner);
}
您可以实现一个 newtype 并为此实现随机生成:
use rand::{distributions::Standard, prelude::*}; // 0.8.0
mod another_crate {
#[derive(Debug)]
pub enum Spinner {
One,
Two,
Three,
}
}
struct RandoSpinner(another_crate::Spinner);
impl Distribution<RandoSpinner> for Standard {
fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> RandoSpinner {
RandoSpinner(match rng.gen_range(0..=2) {
0 => another_crate::Spinner::One,
1 => another_crate::Spinner::Two,
_ => another_crate::Spinner::Three,
})
}
}
fn main() {
let RandoSpinner(spinner) = rand::random();
println!("{:?}", spinner);
}
另见: