Add some doc comments to SortedMap.
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@ -14,7 +14,15 @@ use std::convert::From;
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use std::mem;
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use std::ops::{RangeBounds, Bound, Index, IndexMut};
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#[derive(Clone, PartialEq, Eq, Hash, Debug, RustcEncodable, RustcDecodable)]
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/// `SortedMap` is a data structure with similar characteristics as BTreeMap but
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/// slightly different trade-offs: lookup, inseration, and removal are O(log(N))
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/// and elements can be iterated in order cheaply.
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///
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/// `SortedMap` can be faster than a `BTreeMap` for small sizes (<50) since it
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/// stores data in a more compact way. It also supports accessing contiguous
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/// ranges of elements as a slice, and slices of already sorted elements can be
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/// inserted efficiently.
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#[derive(Clone, PartialEq, Eq, Hash, Default, Debug, RustcEncodable, RustcDecodable)]
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pub struct SortedMap<K: Ord, V> {
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data: Vec<(K,V)>
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}
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@ -28,8 +36,11 @@ impl<K: Ord, V> SortedMap<K, V> {
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}
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}
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// It is up to the caller to make sure that the elements are sorted by key
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// and that there are no duplicates.
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/// Construct a `SortedMap` from a presorted set of elements. This is faster
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/// than creating an empty map and then inserting the elements individually.
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///
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/// It is up to the caller to make sure that the elements are sorted by key
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/// and that there are no duplicates.
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#[inline]
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pub fn from_presorted_elements(elements: Vec<(K, V)>) -> SortedMap<K, V>
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{
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@ -150,8 +161,12 @@ impl<K: Ord, V> SortedMap<K, V> {
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self.data.iter_mut().map(|&mut (ref mut k, _)| k).for_each(f);
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}
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// It is up to the caller to make sure that the elements are sorted by key
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// and that there are no duplicates.
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/// Inserts a presorted range of elements into the map. If the range can be
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/// inserted as a whole in between to existing elements of the map, this
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/// will be faster than inserting the elements individually.
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///
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/// It is up to the caller to make sure that the elements are sorted by key
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/// and that there are no duplicates.
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#[inline]
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pub fn insert_presorted(&mut self, mut elements: Vec<(K, V)>) {
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if elements.is_empty() {
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