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use std::{
cmp::{Eq, Ordering},
hash::{Hash, Hasher},
ops::{Mul, Neg},
};
use crate::*;
#[derive(Debug, PartialEq, PartialOrd, Clone)]
pub struct Norm2D {
x: f64,
y: f64,
}
impl Eq for Norm2D {}
impl Ord for Norm2D {
fn cmp(&self, other: &Self) -> Ordering {
let origin = Point2D::default();
sqr_dist_2d(&origin, self)
.partial_cmp(&sqr_dist_2d(&origin, other))
.unwrap_or(Ordering::Equal)
}
}
impl Hash for Norm2D {
#[inline(always)]
fn hash<H: Hasher>(&self, state: &mut H) {
hash_f64(self.x, state);
hash_f64(self.y, state);
}
}
impl Mul<f64> for Norm2D {
type Output = Point2D;
fn mul(self, other: f64) -> Point2D {
Point2D {
x: other * self.x,
y: other * self.y,
}
}
}
impl Mul<f64> for &Norm2D {
type Output = Point2D;
fn mul(self, other: f64) -> Point2D {
Point2D {
x: other * self.x,
y: other * self.y,
}
}
}
impl Neg for Norm2D {
type Output = Norm2D;
fn neg(self) -> Norm2D {
Norm2D {
x: -self.x,
y: -self.y,
}
}
}
impl Neg for &Norm2D {
type Output = Norm2D;
fn neg(self) -> Norm2D {
Norm2D {
x: -self.x,
y: -self.y,
}
}
}
impl IsND for Norm2D {
fn n_dimensions() -> usize {
2
}
fn position_nd(&self, dimension: usize) -> Result<f64> {
match dimension {
0 => Ok(self.x),
1 => Ok(self.y),
_ => Err(ErrorKind::IncorrectDimension),
}
}
}
impl Is2D for Norm2D {
#[inline(always)]
fn x(&self) -> f64 {
self.x
}
#[inline(always)]
fn y(&self) -> f64 {
self.y
}
}
impl IsNormalized2D for Norm2D {
fn new<P>(p: P) -> Result<Self>
where
P: Is2D,
{
let l = p.abs().get();
if l == 0.0 {
return Err(ErrorKind::NormalizeVecWithoutLength);
}
let f = 1.0 / l;
Ok(Norm2D {
x: f * p.x(),
y: f * p.y(),
})
}
}