/*! * A functional key,value store that works on anything. * * This works using a binary search tree. In the first version, it's a * very naive algorithm, but it will probably be updated to be a * red-black tree or something else. * * This is copied and modified from treemap right now. It's missing a lot * of features. */ import option::{some, none}; import option = option; export treemap; export init; export insert; export find; export traverse; type treemap = @tree_node; enum tree_node { empty, node(@K, @V, @tree_node, @tree_node) } /// Create a treemap fn init() -> treemap { @empty } /// Insert a value into the map fn insert(m: treemap, k: K, v: V) -> treemap { @alt m { @empty { node(@k, @v, @empty, @empty) } @node(@kk, vv, left, right) { if k < kk { node(@kk, vv, insert(left, k, v), right) } else if k == kk { node(@kk, @v, left, right) } else { node(@kk, vv, left, insert(right, k, v)) } } } } /// Find a value based on the key fn find(m: treemap, k: K) -> option { alt *m { empty { none } node(@kk, @v, left, right) { if k == kk { some(v) } else if k < kk { find(left, k) } else { find(right, k) } } } } /// Visit all pairs in the map in order. fn traverse(m: treemap, f: fn(K, V)) { alt *m { empty { } /* Previously, this had what looked like redundant matches to me, so I changed it. but that may be a de-optimization -- tjc */ node(@k, @v, left, right) { // copy v to make aliases work out let v1 = v; traverse(left, f); f(k, v1); traverse(right, f); } } }