common: Ray
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@ -1,4 +1,6 @@
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use strafesnet_common::integer::{self,vec3::{self,Vector3},Fixed,Planar64,Planar64Vec3,Ratio};
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use strafesnet_common::integer::vec3::{self,Vector3};
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use strafesnet_common::integer::{Fixed,Planar64Vec3,Ratio};
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use strafesnet_common::ray::Ray;
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// This algorithm is based on Lua code
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// written by Trey Reynolds in 2021
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@ -12,24 +14,6 @@ type Conts<'a>=arrayvec::ArrayVec<&'a Contact,4>;
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// hack to allow comparing ratios to zero
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const RATIO_ZERO:Ratio<Fixed<1,32>,Fixed<1,32>>=Ratio::new(Fixed::ZERO,Fixed::EPSILON);
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struct Ray{
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origin:Planar64Vec3,
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direction:Planar64Vec3,
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}
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impl Ray{
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fn extrapolate<Num,Den,N1,T1>(&self,t:Ratio<Num,Den>)->Planar64Vec3
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where
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Num:Copy,
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Den:Copy,
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Num:core::ops::Mul<Planar64,Output=N1>,
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Planar64:core::ops::Mul<Den,Output=N1>,
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N1:integer::Divide<Den,Output=T1>,
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T1:integer::Fix<Planar64>,
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{
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self.origin+self.direction.map(|elem|(t*elem).divide().fix())
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}
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}
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/// Information about a contact restriction
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pub struct Contact{
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pub position:Planar64Vec3,
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@ -1,11 +1,9 @@
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use std::cmp::Ordering;
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use std::collections::BTreeMap;
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use fixed_wide::fixed::Fixed;
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use linear_ops::types::Vector3;
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use crate::aabb::Aabb;
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use crate::integer::{Ratio,Planar64,Planar64Vec3};
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use crate::ray::Ray;
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use crate::integer::{Ratio,Planar64};
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use crate::instruction::{InstructionCollector,TimedInstruction};
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//da algaritum
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@ -18,103 +16,94 @@ use crate::instruction::{InstructionCollector,TimedInstruction};
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//sort the centerpoints on each axis (3 lists)
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//bv is put into octant based on whether it is upper or lower in each list
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pub struct Ray{
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pub origin:Planar64Vec3,
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pub direction:Planar64Vec3,
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}
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impl Ray{
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pub fn extrapolate(&self,t:Ratio<Planar64,Planar64>)->Ratio<Vector3<Fixed<2,64>>,Planar64>{
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// o+d*t
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(self.origin*t.den+self.direction*t.num)/t.den
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pub fn intersect_aabb(ray:&Ray,aabb:&Aabb)->Option<Ratio<Planar64,Planar64>>{
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// n.(o+d*t)==n.p
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// n.o + n.d * t == n.p
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// t == (n.p - n.o)/n.d
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let mut hit=None;
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match ray.direction.x.cmp(&Planar64::ZERO){
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Ordering::Less=>{
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let rel_min=aabb.min()-ray.origin;
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let rel_max=aabb.max()-ray.origin;
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let dy=rel_max.x*ray.direction.y;
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let dz=rel_max.x*ray.direction.z;
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// x is negative, so inequalities are flipped
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if rel_min.y*ray.direction.x>dy&&dy>rel_max.y*ray.direction.x
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&&rel_min.z*ray.direction.x>dz&&dz>rel_max.z*ray.direction.x{
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let t=rel_max.x/ray.direction.x;
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hit=Some(hit.map_or(t,|best_t|t.min(best_t)));
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}
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},
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Ordering::Equal=>(),
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Ordering::Greater=>{
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let rel_min=aabb.min()-ray.origin;
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let rel_max=aabb.max()-ray.origin;
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let dy=rel_min.x*ray.direction.y;
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let dz=rel_min.x*ray.direction.z;
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// x is positive, so inequalities are normal
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if rel_min.y*ray.direction.x<dy&&dy<rel_max.y*ray.direction.x
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&&rel_min.z*ray.direction.x<dz&&dz<rel_max.z*ray.direction.x{
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let t=rel_min.x/ray.direction.x;
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hit=Some(hit.map_or(t,|best_t|t.min(best_t)));
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}
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},
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}
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pub fn intersect_aabb(&self,aabb:&Aabb)->Option<Ratio<Planar64,Planar64>>{
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// n.(o+d*t)==n.p
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// n.o + n.d * t == n.p
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// t == (n.p - n.o)/n.d
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let mut hit=None;
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match self.direction.x.cmp(&Planar64::ZERO){
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Ordering::Less=>{
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let rel_min=aabb.min()-self.origin;
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let rel_max=aabb.max()-self.origin;
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let dy=rel_max.x*self.direction.y;
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let dz=rel_max.x*self.direction.z;
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// x is negative, so inequalities are flipped
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if rel_min.y*self.direction.x>dy&&dy>rel_max.y*self.direction.x
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&&rel_min.z*self.direction.x>dz&&dz>rel_max.z*self.direction.x{
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let t=rel_max.x/self.direction.x;
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hit=Some(hit.map_or(t,|best_t|t.min(best_t)));
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}
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},
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Ordering::Equal=>(),
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Ordering::Greater=>{
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let rel_min=aabb.min()-self.origin;
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let rel_max=aabb.max()-self.origin;
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let dy=rel_min.x*self.direction.y;
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let dz=rel_min.x*self.direction.z;
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// x is positive, so inequalities are normal
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if rel_min.y*self.direction.x<dy&&dy<rel_max.y*self.direction.x
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&&rel_min.z*self.direction.x<dz&&dz<rel_max.z*self.direction.x{
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let t=rel_min.x/self.direction.x;
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hit=Some(hit.map_or(t,|best_t|t.min(best_t)));
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}
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},
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}
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match self.direction.z.cmp(&Planar64::ZERO){
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Ordering::Less=>{
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let rel_min=aabb.min()-self.origin;
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let rel_max=aabb.max()-self.origin;
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let dx=rel_max.z*self.direction.x;
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let dy=rel_max.z*self.direction.y;
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// z is negative, so inequalities are flipped
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if rel_min.x*self.direction.z>dx&&dx>rel_max.x*self.direction.z
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&&rel_min.y*self.direction.z>dy&&dy>rel_max.y*self.direction.z{
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let t=rel_max.z/self.direction.z;
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hit=Some(hit.map_or(t,|best_t|t.min(best_t)));
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}
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},
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Ordering::Equal=>(),
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Ordering::Greater=>{
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let rel_min=aabb.min()-self.origin;
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let rel_max=aabb.max()-self.origin;
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let dx=rel_min.z*self.direction.x;
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let dy=rel_min.z*self.direction.y;
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// z is positive, so inequalities are normal
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if rel_min.x*self.direction.z<dx&&dx<rel_max.x*self.direction.z
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&&rel_min.y*self.direction.z<dy&&dy<rel_max.y*self.direction.z{
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let t=rel_min.z/self.direction.z;
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hit=Some(hit.map_or(t,|best_t|t.min(best_t)));
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}
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},
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}
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match self.direction.y.cmp(&Planar64::ZERO){
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Ordering::Less=>{
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let rel_min=aabb.min()-self.origin;
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let rel_max=aabb.max()-self.origin;
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let dz=rel_max.y*self.direction.z;
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let dx=rel_max.y*self.direction.x;
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// y is negative, so inequalities are flipped
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if rel_min.z*self.direction.y>dz&&dz>rel_max.z*self.direction.y
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&&rel_min.x*self.direction.y>dx&&dx>rel_max.x*self.direction.y{
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let t=rel_max.y/self.direction.y;
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hit=Some(hit.map_or(t,|best_t|t.min(best_t)));
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}
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},
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Ordering::Equal=>(),
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Ordering::Greater=>{
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let rel_min=aabb.min()-self.origin;
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let rel_max=aabb.max()-self.origin;
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let dz=rel_min.y*self.direction.z;
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let dx=rel_min.y*self.direction.x;
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// y is positive, so inequalities are normal
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if rel_min.z*self.direction.y<dz&&dz<rel_max.z*self.direction.y
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&&rel_min.x*self.direction.y<dx&&dx<rel_max.x*self.direction.y{
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let t=rel_min.y/self.direction.y;
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hit=Some(hit.map_or(t,|best_t|t.min(best_t)));
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}
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},
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}
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hit
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match ray.direction.z.cmp(&Planar64::ZERO){
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Ordering::Less=>{
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let rel_min=aabb.min()-ray.origin;
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let rel_max=aabb.max()-ray.origin;
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let dx=rel_max.z*ray.direction.x;
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let dy=rel_max.z*ray.direction.y;
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// z is negative, so inequalities are flipped
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if rel_min.x*ray.direction.z>dx&&dx>rel_max.x*ray.direction.z
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&&rel_min.y*ray.direction.z>dy&&dy>rel_max.y*ray.direction.z{
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let t=rel_max.z/ray.direction.z;
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hit=Some(hit.map_or(t,|best_t|t.min(best_t)));
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}
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},
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Ordering::Equal=>(),
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Ordering::Greater=>{
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let rel_min=aabb.min()-ray.origin;
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let rel_max=aabb.max()-ray.origin;
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let dx=rel_min.z*ray.direction.x;
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let dy=rel_min.z*ray.direction.y;
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// z is positive, so inequalities are normal
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if rel_min.x*ray.direction.z<dx&&dx<rel_max.x*ray.direction.z
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&&rel_min.y*ray.direction.z<dy&&dy<rel_max.y*ray.direction.z{
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let t=rel_min.z/ray.direction.z;
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hit=Some(hit.map_or(t,|best_t|t.min(best_t)));
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}
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},
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}
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match ray.direction.y.cmp(&Planar64::ZERO){
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Ordering::Less=>{
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let rel_min=aabb.min()-ray.origin;
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let rel_max=aabb.max()-ray.origin;
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let dz=rel_max.y*ray.direction.z;
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let dx=rel_max.y*ray.direction.x;
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// y is negative, so inequalities are flipped
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if rel_min.z*ray.direction.y>dz&&dz>rel_max.z*ray.direction.y
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&&rel_min.x*ray.direction.y>dx&&dx>rel_max.x*ray.direction.y{
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let t=rel_max.y/ray.direction.y;
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hit=Some(hit.map_or(t,|best_t|t.min(best_t)));
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}
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},
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Ordering::Equal=>(),
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Ordering::Greater=>{
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let rel_min=aabb.min()-ray.origin;
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let rel_max=aabb.max()-ray.origin;
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let dz=rel_min.y*ray.direction.z;
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let dx=rel_min.y*ray.direction.x;
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// y is positive, so inequalities are normal
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if rel_min.z*ray.direction.y<dz&&dz<rel_max.z*ray.direction.y
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&&rel_min.x*ray.direction.y<dx&&dx<rel_max.x*ray.direction.y{
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let t=rel_min.y/ray.direction.y;
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hit=Some(hit.map_or(t,|best_t|t.min(best_t)));
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}
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},
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}
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hit
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}
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pub enum RecursiveContent<N,L>{
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@ -171,7 +160,7 @@ impl<L> BvhNode<L>{
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child.populate_nodes(collector,nodes,ray,start_time,f);
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}else{
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// Am I an upcoming superstar?
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if let Some(t)=ray.intersect_aabb(&child.aabb){
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if let Some(t)=intersect_aabb(ray,&child.aabb){
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if start_time.lt_ratio(t)&&t.lt_ratio(collector.time()){
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nodes.insert(t,child);
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}
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@ -212,7 +201,7 @@ impl<L> BvhNode<L>{
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// break open the node and predict collisions with the child nodes
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RecursiveContent::Branch(children)=>for child in children{
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// Am I an upcoming superstar?
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if let Some(t)=ray.intersect_aabb(&child.aabb){
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if let Some(t)=intersect_aabb(ray,&child.aabb){
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if t<collector.time(){
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nodes.insert(t,child);
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}
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@ -1,5 +1,6 @@
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pub mod bvh;
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pub mod map;
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pub mod ray;
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pub mod run;
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pub mod aabb;
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pub mod model;
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20
lib/common/src/ray.rs
Normal file
20
lib/common/src/ray.rs
Normal file
@ -0,0 +1,20 @@
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use ratio_ops::ratio::Ratio;
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use crate::integer::{self,Planar64,Planar64Vec3};
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pub struct Ray{
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pub origin:Planar64Vec3,
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pub direction:Planar64Vec3,
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}
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impl Ray{
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pub fn extrapolate<Num,Den,N1,T1>(&self,t:Ratio<Num,Den>)->Planar64Vec3
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where
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Num:Copy,
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Den:Copy,
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Num:core::ops::Mul<Planar64,Output=N1>,
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Planar64:core::ops::Mul<Den,Output=N1>,
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N1:integer::Divide<Den,Output=T1>,
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T1:integer::Fix<Planar64>,
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{
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self.origin+self.direction.map(|elem|(t*elem).divide().fix())
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}
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}
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