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use core::convert;
use core::ops;
use crate::math::{Vec2, EPSILON};
#[derive(Clone, Copy, Debug, Default)]
pub struct Mat2 {
data: [f32; 4],
}
impl ops::Add for Mat2 {
type Output = Self;
fn add(self, other: Self) -> Self::Output {
Self::new(
self.data[0] + other.data[0],
self.data[2] + other.data[2],
self.data[1] + other.data[1],
self.data[3] + other.data[3],
)
}
}
impl ops::AddAssign for Mat2 {
fn add_assign(&mut self, other: Self) {
*self = *self + other
}
}
impl ops::Sub for Mat2 {
type Output = Self;
fn sub(self, other: Self) -> Self::Output {
Self::new(
self.data[0] - other.data[0],
self.data[2] - other.data[2],
self.data[1] - other.data[1],
self.data[3] - other.data[3],
)
}
}
impl ops::SubAssign for Mat2 {
fn sub_assign(&mut self, other: Self) {
*self = *self - other
}
}
impl ops::Neg for Mat2 {
type Output = Self;
fn neg(self) -> Self::Output {
Self::new(-self.data[0], -self.data[2], -self.data[1], -self.data[3])
}
}
impl ops::Mul<f32> for Mat2 {
type Output = Self;
fn mul(self, scale: f32) -> Self::Output {
Self::new(
self.data[0] * scale,
self.data[2] * scale,
self.data[1] * scale,
self.data[3] * scale,
)
}
}
impl ops::Mul<Mat2> for f32 {
type Output = Mat2;
fn mul(self, rhs: Mat2) -> Self::Output {
rhs * self
}
}
impl ops::MulAssign<f32> for Mat2 {
fn mul_assign(&mut self, scale: f32) {
*self = *self * scale
}
}
impl ops::Mul<Vec2> for Mat2 {
type Output = Vec2;
fn mul(self, other: Vec2) -> Self::Output {
Vec2::new(
self.data[0] * other.x() + self.data[2] * other.y(),
self.data[1] * other.x() + self.data[3] * other.y(),
)
}
}
impl ops::Mul for Mat2 {
type Output = Self;
fn mul(self, other: Self) -> Self::Output {
Self::new(
self.data[0] * other.data[0] + self.data[2] * other.data[1],
self.data[0] * other.data[2] + self.data[2] * other.data[3],
self.data[1] * other.data[0] + self.data[3] * other.data[1],
self.data[1] * other.data[2] + self.data[3] * other.data[3],
)
}
}
impl ops::MulAssign for Mat2 {
fn mul_assign(&mut self, other: Self) {
*self = *self * other;
}
}
impl ops::Div<f32> for Mat2 {
type Output = Self;
fn div(self, scale: f32) -> Self::Output {
Self::new(
self.data[0] / scale,
self.data[2] / scale,
self.data[1] / scale,
self.data[3] / scale,
)
}
}
impl ops::DivAssign<f32> for Mat2 {
fn div_assign(&mut self, scale: f32) {
*self = *self / scale
}
}
impl PartialEq for Mat2 {
fn eq(&self, other: &Self) -> bool {
f32::abs(self.data[0] - other.data[0]) < EPSILON
&& f32::abs(self.data[2] - other.data[2]) < EPSILON
&& f32::abs(self.data[1] - other.data[1]) < EPSILON
&& f32::abs(self.data[3] - other.data[3]) < EPSILON
}
}
impl Eq for Mat2 {}
impl Mat2 {
pub const fn new(a: f32, b: f32, c: f32, d: f32) -> Self {
Self { data: [a, c, b, d] }
}
pub const fn from_vec2(v1: Vec2, v2: Vec2) -> Self {
Self::new(v1.x(), v2.x(), v1.y(), v2.y())
}
pub const fn zero() -> Self {
Self::new(0.0, 0.0, 0.0, 0.0)
}
pub const fn identity() -> Self {
Self::new(1.0, 0.0, 0.0, 1.0)
}
pub fn rotation(angle: f32) -> Self {
let cos = angle.cos();
let sin = angle.sin();
Self::new(cos, -sin, sin, cos)
}
pub const fn scaling(scale_x: f32, scale_y: f32) -> Self {
Self::new(scale_x, 0.0, 0.0, scale_y)
}
pub const fn transpose(self) -> Self {
Self::new(self.data[0], self.data[1], self.data[2], self.data[3])
}
}
impl convert::AsRef<[f32; 4]> for Mat2 {
fn as_ref(&self) -> &[f32; 4] {
&self.data
}
}