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use std::iter::IntoIterator;
use crate::bounding_volume::AABB;
use crate::math::{Isometry, Point, Vector, DIM};
use crate::shape::SupportMap;
use alga::linear::Transformation;
use na::{self, RealField};
pub fn support_map_aabb<N, G>(m: &Isometry<N>, i: &G) -> AABB<N>
where
N: RealField,
G: SupportMap<N>,
{
let mut min = na::zero::<Vector<N>>();
let mut max = na::zero::<Vector<N>>();
let mut basis = na::zero::<Vector<N>>();
for d in 0..DIM {
basis[d] = na::one();
max[d] = i.support_point(m, &basis)[d];
basis[d] = -na::one::<N>();
min[d] = i.support_point(m, &basis)[d];
basis[d] = na::zero();
}
AABB::new(Point::from(min), Point::from(max))
}
pub fn point_cloud_aabb<'a, N: RealField, M: Transformation<Point<N>>, I>(m: &M, pts: I) -> AABB<N>
where
I: IntoIterator<Item = &'a Point<N>>,
{
let mut it = pts.into_iter();
let p0 = it.next().expect(
"Point cloud AABB construction: the input iterator should yield at least one point.",
);
let wp0 = m.transform_point(&p0);
let mut min: Point<N> = wp0;
let mut max: Point<N> = wp0;
for pt in it {
let wpt = m.transform_point(pt);
min = na::inf(&min, &wpt);
max = na::sup(&max, &wpt);
}
AABB::new(min, max)
}
pub fn local_point_cloud_aabb<'a, N: RealField, I>(pts: I) -> AABB<N>
where
I: IntoIterator<Item = &'a Point<N>>,
{
let mut it = pts.into_iter();
let p0 = it.next().expect(
"Point cloud AABB construction: the input iterator should yield at least one point.",
);
let mut min: Point<N> = *p0;
let mut max: Point<N> = *p0;
for pt in it {
min = na::inf(&min, &pt);
max = na::sup(&max, &pt);
}
AABB::new(min, max)
}