use num::Zero; use na::{Transform, Rotate, Bounded}; use na; use point::PointQuery; use entities::bounding_volume::AABB; use math::{Point, Vector}; impl PointQuery for AABB

where P: Point, M: Transform

+ Rotate { #[inline] fn project_point(&self, m: &M, pt: &P, solid: bool) -> P { let ls_pt = m.inverse_transform(pt); let mins_pt = *self.mins() - ls_pt; let pt_maxs = ls_pt - *self.maxs(); let shift = na::sup(&na::zero(), &mins_pt) - na::sup(&na::zero(), &pt_maxs); if !shift.is_zero() || solid { *pt + m.rotate(&shift) } else { let _max: ::Scalar = Bounded::max_value(); let mut best = -_max; let mut best_id = 0isize; for i in 0 .. na::dimension::() { let mins_pt_i = mins_pt[i]; let pt_maxs_i = pt_maxs[i]; if mins_pt_i < pt_maxs_i { if pt_maxs[i] > best { best_id = i as isize; best = pt_maxs_i } } else if mins_pt_i > best { best_id = -(i as isize); best = mins_pt_i } } let mut shift: P::Vect = na::zero(); if best_id < 0 { shift[(-best_id) as usize] = best; } else { shift[best_id as usize] = -best; } *pt + m.rotate(&shift) } } #[inline] fn distance_to_point(&self, m: &M, pt: &P) -> ::Scalar { let ls_pt = m.inverse_transform(pt); let mins_pt = *self.mins() - ls_pt; let pt_maxs = ls_pt - *self.maxs(); na::norm(&na::sup(&na::zero(), &na::sup(&mins_pt, &pt_maxs))) } #[inline] fn contains_point(&self, m: &M, pt: &P) -> bool { let ls_pt = m.inverse_transform(pt); for i in 0 .. na::dimension::

() { if ls_pt[i] < self.mins()[i] || ls_pt[i] > self.maxs()[i] { return false } } true } }