Expand description
An implementation of skew-binary random access lists.
Skew-binary random access lists are a persistent list data structure. They allow logarithmic time random access. Most notably, online lowest common ancestors can be implemented in logarithmic time in the length of the path.
These lists are persistent, i.e. they allow preserving the old version of itself when mutated Eg. consider a simple list like this:
A - B - C - D List: ABCDIf, after B, we clone the list and append E and F, we will get the resulting structure:
A - B - C - D First list: ABCD
\
E - F Second list: ABEFHere we can see how A and B will be shared among the two lists. Thus the “lists” in skew-
binary random access lists can really be seen as paths in a tree instead. To emphasize this,
this implmentations refers to skew-binary random access lists as paths, or more specifically
as the SkewPath type.
Since we want to be able to share nodes, the paths themselves do not own the nodes. Instead, the
paths are indexes into a structure that does own the nodes. This structure, the SkewForest,
encapsulates the shared graph of the paths.
§Topology
An additional wrinkle is that the SkewForest and SkewPath in this implementation does not
store any actual values. They only store the path topology, i.e. the sequence of node indexes
that forms the nodes of a path. When push operation is called on a SkewPath the index of the
node is returned.
To actually associate a value with a node, a SkewMap can be constructed to map these indices
to values.
§Example
The example below demonstrates creating two lists as shown above.
use skew_forest::{SkewForest, SkewPath, SkewPathNode, SkewMap};
let mut forest = SkewForest::default();
let mut path_a = SkewPath::<[SkewPathNode; 8]>::default();
// Push A and B onto `path_a`
let node_a = forest.push(&mut path_a);
let node_b = forest.push(&mut path_a);
// Clone A to B
let mut path_b = path_a.clone();
// Push C and D onto `path_a`
let node_c = forest.push(&mut path_a);
let node_d = forest.push(&mut path_a);
// Push E and F onto `path_b`
let node_e = forest.push(&mut path_b);
let node_f = forest.push(&mut path_b);
// Check that `path_a` matches ABCD
assert_eq!(
forest.iter(&path_a).collect::<Vec<_>>(),
vec![node_a, node_b, node_c, node_d],
);
// Check that `path_b` matches ABCD
assert_eq!(
forest.iter(&path_b).collect::<Vec<_>>(),
vec![node_a, node_b, node_e, node_f],
);Structs§
- Gc
- An in-progress mark-and-sweep session.
- Iter
- A forward iterator
- IterRev
- A reverse iterator
- Mark
- An iterator over the nodes that will be marked.
- Skew
Forest - The shared structure of a set of skew-binary random access lists. See the module docs for more details.
- Skew
Index - The index of a node in a
SkewForest. - SkewMap
- A mapping from the nodes in a
SkewForestto values. - Skew
Path - A path in a tree in a
SkewForest. This can be seen as an index into a path in a specificSkewForest, and must therefore only be used with a singleSkewForest. - Skew
Path Node - An opaque node used in the a
SkewPath. - Sweep
- An iterator over the nodes that will not be kept.
Enums§
- Push
Error - An error from pushing an element onto a
SkewPath.
Traits§
- Index
- A type that can be used as a numeric index.
- Skew
Path Array - An opaque array used in a
SkewPath.