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vector.rs - レンダリングエンジン用のベクトルデータ構造
#![feature(trace_macros)]
use std::ops::{Add, Sub, Mul, Div, Neg, AddAssign, MulAssign};
#[derive(Copy, Clone, Debug)]
#[repr(C)]
pub struct Vector3 {
pub x: f64,
pub y: f64,
pub z: f64,
}
impl Vector3 {
//<editor-fold desc="Constructors">
pub fn new(x: f64, y: f64, z: f64) -> Vector3 {
Vector3 {x, y, z}
}
pub fn all_of(v: f64) -> Vector3 {
Vector3 {x: v, y: v, z: v}
}
pub fn zero() -> Vector3 {
Vector3::all_of(0.0)
}
pub fn one() -> Vector3 {
Vector3::all_of(1.0)
}
//</editor-fold>
pub fn norm(&self) -> f64 {
(self.x * self.x + self.y * self.y + self.z * self.z)
}
pub fn length(&self) -> f64 {
self.norm().sqrt()
}
pub fn normalized(&self) -> Vector3 {
let inv_len = self.length().recip();
Vector3 {
x: self.x * inv_len,
y: self.y * inv_len,
z: self.z * inv_len,
}
}
pub fn dot(&self, other: &Vector3) -> f64 {
self.x * other.x + self.y * other.y + self.z * other.z
}
pub fn cross(&self, other: &Vector3) -> Vector3 {
Vector3 {
x: self.y * other.z - self.z * other.y,
y: self.z * other.x - self.x * other.z,
z: self.x * other.y - self.y * other.x,
}
}
pub fn reflect(&self, normal: &Vector3) -> Vector3 {
(*self) - 2.0 * self.dot(&normal) * (*normal)
}
pub fn refract(&self, normal: &Vector3, refractive_index: f64) -> Vector3 {
let k = 1.0 - refractive_index * refractive_index * (1.0 - normal.dot(self) * self.dot(normal));
if k < 0.0 {
Vector3::zero()
} else {
refractive_index * *self - (refractive_index * self.dot(normal) + k.sqrt()) * *normal
}
}
}
macro_rules! impl_op_v2v_for {
($trait_: ident, $templ_type_: ident, $for_: ident, $op_: ident, $($member_: ident),*) => {
impl $trait_<$templ_type_> for $for_ {
type Output = $for_;
fn $op_(self, other: $for_) -> $for_ {
$for_ {
$($member_: $trait_::$op_(self.$member_, other.$member_),)*
}
}
}
}
}
macro_rules! impl_op_v2f_for {
($trait_: ident, $templ_type_: ident, $for_: ident, $op_: ident, $($member_: ident),*) => {
impl $trait_<$templ_type_> for $for_ {
type Output = $for_;
fn $op_(self, other: $templ_type_) -> $for_ {
$for_ {
$(
$member_: $trait_::$op_(self.$member_, other),
)*
}
}
}
}
}
macro_rules! impl_ops_for_xyz {
($macro_name_: ident, $to_type_: ident, $with_type: ident, $(($trait_: ident, $op_fn_: ident)),*) => {
$(
$macro_name_!($trait_, $with_type, $to_type_, $op_fn_, x, y, z);
)*
}
}
//trace_macros!(true);
impl_ops_for_xyz!(impl_op_v2v_for, Vector3, Vector3, (Add, add), (Sub, sub), (Mul, mul), (Div, div));
impl_ops_for_xyz!(impl_op_v2f_for, Vector3, f64, (Add, add), (Sub, sub), (Mul, mul), (Div, div));
impl Mul<Vector3> for f64 {
type Output = Vector3;
fn mul(self, other: Vector3) -> Vector3 {
other * self
}
}
impl Neg for Vector3 {
type Output = Vector3;
fn neg(self) -> Vector3 {
Vector3 {
x: -self.x,
y: -self.y,
z: -self.z,
}
}
}
impl AddAssign for Vector3 {
fn add_assign(&mut self, other: Vector3) {
self.x += other.x;
self.y += other.y;
self.z += other.z;
}
}
impl MulAssign for Vector3 {
fn mul_assign(&mut self, other: Vector3) {
self.x *= other.x;
self.y *= other.y;
self.z *= other.z;
}
}
impl MulAssign<f64> for Vector3 {
fn mul_assign(&mut self, other: f64) {
self.x *= other;
self.y *= other;
self.z *= other;
}
}
#[derive(Copy, Clone, Debug)]
#[repr(C)]
pub struct Vector2 {
pub x: f64,
pub y: f64,
}
impl Vector2 {
pub fn new(x: f64, y: f64) -> Vector2 {
Vector2 {x, y}
}
pub fn all_of(v: f64) -> Vector2 {
Vector2 {x: v, y: v}
}
pub fn zero() -> Vector2 {
Vector2::all_of(0.0)
}
pub fn norm(&self) -> f64 {
self.x * self.x + self.y * self.y
}
pub fn length(&self) -> f64 {
self.norm().sqrt()
}
pub fn normalized(&self) -> Vector2 {
let inv_len = self.length().recip();
Vector2 {
x: self.x * inv_len,
y: self.y * inv_len,
}
}
pub fn dot(&self, other: Vector2) -> f64 {
self.x * other.x + self.y * other.y
}
pub fn cross(&self, other: Vector2) -> f64 {
self.x * other.y - other.x * self.y
}
}
macro_rules! impl_ops_for_xy {
($macro_name_: ident, $to_type_: ident, $with_type: ident, $(($trait_: ident, $op_fn_: ident)),*) => {
$(
$macro_name_!($trait_, $with_type, $to_type_, $op_fn_, x, y);
)*
}
}
//trace_macros!(true);
impl_ops_for_xy!(impl_op_v2v_for, Vector2, Vector2, (Add, add), (Sub, sub), (Mul, mul), (Div, div));
impl_ops_for_xy!(impl_op_v2f_for, Vector2, f64, (Add, add), (Sub, sub), (Mul, mul), (Div, div));
impl Mul<Vector2> for f64 {
type Output = Vector2;
fn mul(self, other: Vector2) -> Vector2 {
other * self
}
}
impl Neg for Vector2 {
type Output = Vector2;
fn neg(self) -> Vector2 {
Vector2 {
x: -self.x,
y: -self.y
}
}
}
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