This is a rust port of Brent Pendersen's nim-lapper. It has a few notable differences, mostly that the find and seek methods both return iterators, so all adaptor methods may be used normally.
This crate works well for interval data that does not include very long intervals that engulf a majority of other intervals. In comparisons against other intervals trees, it is twice as slow in the worst case scenario of an interval spanning the whole set of possible positions.
However, on more typical datasets, this crate is between 4-10x faster than other interval overlap methods.
Benchmarks performed on a sub 100% hit rate dataset:
Benchmarks with a whole set spanning interval:
```rust use rust_lapper::{Interval, Lapper};
type Iv = Interval
// Make lapper structure
let mut lapper = Lapper::new(data);
// Iterator based find to extract all intervals that overlap 6..7
// If your queries are coming in start sorted order, use the seek method to retain a cursor for
// a big speedup.
assert_eq!(
lapper.find(11, 15).collect::<Vec<&Iv>>(), vec![
&Iv{start: 10, stop: 15, val: 0},
&Iv{start: 10, stop: 15, val: 0}, // exact overlap
&Iv{start: 12, stop: 15, val: 0}, // inner overlap
&Iv{start: 14, stop: 16, val: 0}, // overlap end
]
);
// Merge overlapping regions within the lapper to simlify and speed up queries that only depend
// on 'any' overlap and not how many
lapper.merge_overlaps();
assert_eq!(
lapper.find(11, 15).collect::<Vec<&Iv>>(), vec![
&Iv{start: 10, stop: 16, val: 0},
]
);
// Get the number of positions covered by the lapper tree:
assert_eq!(lapper.cov(), 73);
// Get the union and intersect of two different lapper trees
let data = vec![
Iv{start: 5, stop: 15, val: 0},
Iv{start: 48, stop: 80, val: 0},
];
let (union, intersect) = lapper.union_and_intersect(&Lapper::new(data));
assert_eq!(union, 88);
assert_eq!(intersect, 27);
} ```