Trait tracing_core::stdlib::ops::Mul
1.0.0 · source · pub trait Mul<Rhs = Self> {
type Output;
// Required method
fn mul(self, rhs: Rhs) -> Self::Output;
}
Expand description
The multiplication operator *
.
Note that Rhs
is Self
by default, but this is not mandatory.
§Examples
§Mul
tipliable rational numbers
use std::ops::Mul;
// By the fundamental theorem of arithmetic, rational numbers in lowest
// terms are unique. So, by keeping `Rational`s in reduced form, we can
// derive `Eq` and `PartialEq`.
#[derive(Debug, Eq, PartialEq)]
struct Rational {
numerator: usize,
denominator: usize,
}
impl Rational {
fn new(numerator: usize, denominator: usize) -> Self {
if denominator == 0 {
panic!("Zero is an invalid denominator!");
}
// Reduce to lowest terms by dividing by the greatest common
// divisor.
let gcd = gcd(numerator, denominator);
Self {
numerator: numerator / gcd,
denominator: denominator / gcd,
}
}
}
impl Mul for Rational {
// The multiplication of rational numbers is a closed operation.
type Output = Self;
fn mul(self, rhs: Self) -> Self {
let numerator = self.numerator * rhs.numerator;
let denominator = self.denominator * rhs.denominator;
Self::new(numerator, denominator)
}
}
// Euclid's two-thousand-year-old algorithm for finding the greatest common
// divisor.
fn gcd(x: usize, y: usize) -> usize {
let mut x = x;
let mut y = y;
while y != 0 {
let t = y;
y = x % y;
x = t;
}
x
}
assert_eq!(Rational::new(1, 2), Rational::new(2, 4));
assert_eq!(Rational::new(2, 3) * Rational::new(3, 4),
Rational::new(1, 2));
§Multiplying vectors by scalars as in linear algebra
use std::ops::Mul;
struct Scalar { value: usize }
#[derive(Debug, PartialEq)]
struct Vector { value: Vec<usize> }
impl Mul<Scalar> for Vector {
type Output = Self;
fn mul(self, rhs: Scalar) -> Self::Output {
Self { value: self.value.iter().map(|v| v * rhs.value).collect() }
}
}
let vector = Vector { value: vec![2, 4, 6] };
let scalar = Scalar { value: 3 };
assert_eq!(vector * scalar, Vector { value: vec![6, 12, 18] });