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use crate::bounding_volume::AABB;
use crate::math::{Isometry, Point, Vector};
use na::{self, Real};
use crate::partitioning::{BestFirstBVVisitStatus, BestFirstDataVisitStatus, BestFirstVisitor};
use crate::query::proximity_internal;
use crate::query::{PointQuery, Proximity};
use crate::shape::{CompositeShape, Shape};
pub fn composite_shape_against_shape<N: Real, G1: ?Sized>(
m1: &Isometry<N>,
g1: &G1,
m2: &Isometry<N>,
g2: &Shape<N>,
margin: N,
) -> Proximity
where
G1: CompositeShape<N>,
{
assert!(
margin >= na::zero(),
"The proximity margin must be positive or null."
);
let mut visitor = CompositeShapeAgainstAnyInterfVisitor::new(m1, g1, m2, g2, margin);
match g1.bvh().best_first_search(&mut visitor) {
None => Proximity::Disjoint,
Some(prox) => prox,
}
}
pub fn shape_against_composite_shape<N: Real, G2: ?Sized>(
m1: &Isometry<N>,
g1: &Shape<N>,
m2: &Isometry<N>,
g2: &G2,
margin: N,
) -> Proximity
where
G2: CompositeShape<N>,
{
composite_shape_against_shape(m2, g2, m1, g1, margin)
}
struct CompositeShapeAgainstAnyInterfVisitor<'a, N: 'a + Real, G1: ?Sized + 'a> {
msum_shift: Vector<N>,
msum_margin: Vector<N>,
m1: &'a Isometry<N>,
g1: &'a G1,
m2: &'a Isometry<N>,
g2: &'a Shape<N>,
margin: N,
}
impl<'a, N: Real, G1: ?Sized> CompositeShapeAgainstAnyInterfVisitor<'a, N, G1>
where G1: CompositeShape<N>
{
pub fn new(
m1: &'a Isometry<N>,
g1: &'a G1,
m2: &'a Isometry<N>,
g2: &'a Shape<N>,
margin: N,
) -> CompositeShapeAgainstAnyInterfVisitor<'a, N, G1>
{
let ls_m2 = na::inverse(m1) * m2.clone();
let ls_aabb2 = g2.aabb(&ls_m2);
CompositeShapeAgainstAnyInterfVisitor {
msum_shift: -ls_aabb2.center().coords,
msum_margin: ls_aabb2.half_extents(),
m1: m1,
g1: g1,
m2: m2,
g2: g2,
margin: margin,
}
}
}
impl<'a, N: Real, G1: ?Sized> BestFirstVisitor<N, usize, AABB<N>>
for CompositeShapeAgainstAnyInterfVisitor<'a, N, G1>
where G1: CompositeShape<N>
{
type Result = Proximity;
fn visit_bv(&mut self, bv: &AABB<N>) -> BestFirstBVVisitStatus<N> {
let msum = AABB::new(
*bv.mins() + self.msum_shift + (-self.msum_margin),
*bv.maxs() + self.msum_shift + self.msum_margin,
);
let distance = msum.distance_to_point(&Isometry::identity(), &Point::origin(), true);
BestFirstBVVisitStatus::ContinueWithCost(distance)
}
fn visit_data(&mut self, b: &usize) -> BestFirstDataVisitStatus<N, Proximity> {
let mut res = BestFirstDataVisitStatus::Continue;
self.g1
.map_part_at(*b, self.m1, &mut |m1, g1| {
res = match proximity_internal::proximity_internal(
m1,
g1,
self.m2,
self.g2,
self.margin,
) {
Proximity::Disjoint => BestFirstDataVisitStatus::Continue,
Proximity::WithinMargin => BestFirstDataVisitStatus::ContinueWithResult(
self.margin,
Proximity::WithinMargin,
),
Proximity::Intersecting => {
BestFirstDataVisitStatus::ExitEarlyWithResult(Proximity::Intersecting)
}
}
});
res
}
}