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use crate::bounding_volume::AABB;
use crate::math::{Isometry, Point, Vector};
use crate::partitioning::{BestFirstVisitStatus, BestFirstVisitor};
use crate::query::{self, ClosestPoints, PointQuery};
use crate::shape::{CompositeShape, Shape};
use na::{self, RealField};
pub fn closest_points_composite_shape_shape<N, G1: ?Sized>(
m1: &Isometry<N>,
g1: &G1,
m2: &Isometry<N>,
g2: &dyn Shape<N>,
margin: N,
) -> ClosestPoints<N>
where
N: RealField,
G1: CompositeShape<N>,
{
let mut visitor = CompositeShapeAgainstShapeClosestPointsVisitor::new(m1, g1, m2, g2, margin);
g1.bvh()
.best_first_search(&mut visitor)
.expect("The composite shape must not be empty.")
.1
}
pub fn closest_points_shape_composite_shape<N, G2: ?Sized>(
m1: &Isometry<N>,
g1: &dyn Shape<N>,
m2: &Isometry<N>,
g2: &G2,
margin: N,
) -> ClosestPoints<N>
where
N: RealField,
G2: CompositeShape<N>,
{
let mut res = closest_points_composite_shape_shape(m2, g2, m1, g1, margin);
res.flip();
res
}
struct CompositeShapeAgainstShapeClosestPointsVisitor<'a, N: 'a + RealField, G1: ?Sized + 'a> {
msum_shift: Vector<N>,
msum_margin: Vector<N>,
margin: N,
m1: &'a Isometry<N>,
g1: &'a G1,
m2: &'a Isometry<N>,
g2: &'a dyn Shape<N>,
}
impl<'a, N, G1: ?Sized> CompositeShapeAgainstShapeClosestPointsVisitor<'a, N, G1>
where
N: RealField,
G1: CompositeShape<N>,
{
pub fn new(
m1: &'a Isometry<N>,
g1: &'a G1,
m2: &'a Isometry<N>,
g2: &'a dyn Shape<N>,
margin: N,
) -> CompositeShapeAgainstShapeClosestPointsVisitor<'a, N, G1> {
let ls_m2 = m1.inverse() * m2.clone();
let ls_aabb2 = g2.aabb(&ls_m2);
CompositeShapeAgainstShapeClosestPointsVisitor {
msum_shift: -ls_aabb2.center().coords,
msum_margin: ls_aabb2.half_extents(),
margin: margin,
m1: m1,
g1: g1,
m2: m2,
g2: g2,
}
}
}
impl<'a, N, G1: ?Sized> BestFirstVisitor<N, usize, AABB<N>>
for CompositeShapeAgainstShapeClosestPointsVisitor<'a, N, G1>
where
N: RealField,
G1: CompositeShape<N>,
{
type Result = ClosestPoints<N>;
fn visit(
&mut self,
best: N,
bv: &AABB<N>,
data: Option<&usize>,
) -> BestFirstVisitStatus<N, Self::Result> {
let msum = AABB::new(
bv.mins + self.msum_shift + (-self.msum_margin),
bv.maxs + self.msum_shift + self.msum_margin,
);
let dist = msum.distance_to_point(&Isometry::identity(), &Point::origin(), true);
let mut res = BestFirstVisitStatus::Continue {
cost: dist,
result: None,
};
if let Some(b) = data {
if dist < best {
self.g1.map_part_at(*b, self.m1, &mut |m1, g1| {
let pts = query::closest_points(m1, g1, self.m2, self.g2, self.margin);
match pts {
ClosestPoints::WithinMargin(ref p1, ref p2) => {
res = BestFirstVisitStatus::Continue {
cost: na::distance(p1, p2),
result: Some(pts),
}
}
ClosestPoints::Intersecting => {
res = BestFirstVisitStatus::ExitEarly(Some(pts))
}
ClosestPoints::Disjoint => {}
};
});
}
}
res
}
}