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map.rs
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map.rs
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use core::borrow::Borrow;
use core::cmp::Ordering;
use core::fmt::{self, Debug};
use core::hash::{Hash, Hasher};
use core::iter::{FromIterator, FusedIterator, Peekable};
use core::marker::PhantomData;
use core::mem::{self, ManuallyDrop};
use core::ops::Bound::{Excluded, Included, Unbounded};
use core::ops::{Index, RangeBounds};
use core::ptr;
use super::node::{self, marker, ForceResult::*, Handle, InsertResult::*, NodeRef};
use super::search::{self, SearchResult::*};
use super::unwrap_unchecked;
use Entry::*;
use UnderflowResult::*;
/// A map based on a B-Tree.
///
/// B-Trees represent a fundamental compromise between cache-efficiency and actually minimizing
/// the amount of work performed in a search. In theory, a binary search tree (BST) is the optimal
/// choice for a sorted map, as a perfectly balanced BST performs the theoretical minimum amount of
/// comparisons necessary to find an element (log<sub>2</sub>n). However, in practice the way this
/// is done is *very* inefficient for modern computer architectures. In particular, every element
/// is stored in its own individually heap-allocated node. This means that every single insertion
/// triggers a heap-allocation, and every single comparison should be a cache-miss. Since these
/// are both notably expensive things to do in practice, we are forced to at very least reconsider
/// the BST strategy.
///
/// A B-Tree instead makes each node contain B-1 to 2B-1 elements in a contiguous array. By doing
/// this, we reduce the number of allocations by a factor of B, and improve cache efficiency in
/// searches. However, this does mean that searches will have to do *more* comparisons on average.
/// The precise number of comparisons depends on the node search strategy used. For optimal cache
/// efficiency, one could search the nodes linearly. For optimal comparisons, one could search
/// the node using binary search. As a compromise, one could also perform a linear search
/// that initially only checks every i<sup>th</sup> element for some choice of i.
///
/// Currently, our implementation simply performs naive linear search. This provides excellent
/// performance on *small* nodes of elements which are cheap to compare. However in the future we
/// would like to further explore choosing the optimal search strategy based on the choice of B,
/// and possibly other factors. Using linear search, searching for a random element is expected
/// to take O(B * log(n)) comparisons, which is generally worse than a BST. In practice,
/// however, performance is excellent.
///
/// It is a logic error for a key to be modified in such a way that the key's ordering relative to
/// any other key, as determined by the [`Ord`] trait, changes while it is in the map. This is
/// normally only possible through [`Cell`], [`RefCell`], global state, I/O, or unsafe code.
///
/// [`Ord`]: core::cmp::Ord
/// [`Cell`]: core::cell::Cell
/// [`RefCell`]: core::cell::RefCell
///
/// # Examples
///
/// ```
/// use std::collections::BTreeMap;
///
/// // type inference lets us omit an explicit type signature (which
/// // would be `BTreeMap<&str, &str>` in this example).
/// let mut movie_reviews = BTreeMap::new();
///
/// // review some movies.
/// movie_reviews.insert("Office Space", "Deals with real issues in the workplace.");
/// movie_reviews.insert("Pulp Fiction", "Masterpiece.");
/// movie_reviews.insert("The Godfather", "Very enjoyable.");
/// movie_reviews.insert("The Blues Brothers", "Eye lyked it a lot.");
///
/// // check for a specific one.
/// if !movie_reviews.contains_key("Les Misérables") {
/// println!("We've got {} reviews, but Les Misérables ain't one.",
/// movie_reviews.len());
/// }
///
/// // oops, this review has a lot of spelling mistakes, let's delete it.
/// movie_reviews.remove("The Blues Brothers");
///
/// // look up the values associated with some keys.
/// let to_find = ["Up!", "Office Space"];
/// for movie in &to_find {
/// match movie_reviews.get(movie) {
/// Some(review) => println!("{}: {}", movie, review),
/// None => println!("{} is unreviewed.", movie)
/// }
/// }
///
/// // Look up the value for a key (will panic if the key is not found).
/// println!("Movie review: {}", movie_reviews["Office Space"]);
///
/// // iterate over everything.
/// for (movie, review) in &movie_reviews {
/// println!("{}: \"{}\"", movie, review);
/// }
/// ```
///
/// `BTreeMap` also implements an [`Entry API`](#method.entry), which allows
/// for more complex methods of getting, setting, updating and removing keys and
/// their values:
///
/// ```
/// use std::collections::BTreeMap;
///
/// // type inference lets us omit an explicit type signature (which
/// // would be `BTreeMap<&str, u8>` in this example).
/// let mut player_stats = BTreeMap::new();
///
/// fn random_stat_buff() -> u8 {
/// // could actually return some random value here - let's just return
/// // some fixed value for now
/// 42
/// }
///
/// // insert a key only if it doesn't already exist
/// player_stats.entry("health").or_insert(100);
///
/// // insert a key using a function that provides a new value only if it
/// // doesn't already exist
/// player_stats.entry("defence").or_insert_with(random_stat_buff);
///
/// // update a key, guarding against the key possibly not being set
/// let stat = player_stats.entry("attack").or_insert(100);
/// *stat += random_stat_buff();
/// ```
#[stable(feature = "rust1", since = "1.0.0")]
pub struct BTreeMap<K, V> {
root: Option<node::Root<K, V>>,
length: usize,
}
#[stable(feature = "btree_drop", since = "1.7.0")]
unsafe impl<#[may_dangle] K, #[may_dangle] V> Drop for BTreeMap<K, V> {
fn drop(&mut self) {
unsafe {
drop(ptr::read(self).into_iter());
}
}
}
#[stable(feature = "rust1", since = "1.0.0")]
impl<K: Clone, V: Clone> Clone for BTreeMap<K, V> {
fn clone(&self) -> BTreeMap<K, V> {
fn clone_subtree<'a, K: Clone, V: Clone>(
node: node::NodeRef<marker::Immut<'a>, K, V, marker::LeafOrInternal>,
) -> BTreeMap<K, V>
where
K: 'a,
V: 'a,
{
match node.force() {
Leaf(leaf) => {
let mut out_tree = BTreeMap { root: Some(node::Root::new_leaf()), length: 0 };
{
let root = out_tree.root.as_mut().unwrap(); // unwrap succeeds because we just wrapped
let mut out_node = match root.node_as_mut().force() {
Leaf(leaf) => leaf,
Internal(_) => unreachable!(),
};
let mut in_edge = leaf.first_edge();
while let Ok(kv) = in_edge.right_kv() {
let (k, v) = kv.into_kv();
in_edge = kv.right_edge();
out_node.push(k.clone(), v.clone());
out_tree.length += 1;
}
}
out_tree
}
Internal(internal) => {
let mut out_tree = clone_subtree(internal.first_edge().descend());
{
let out_root = BTreeMap::ensure_is_owned(&mut out_tree.root);
let mut out_node = out_root.push_internal_level();
let mut in_edge = internal.first_edge();
while let Ok(kv) = in_edge.right_kv() {
let (k, v) = kv.into_kv();
in_edge = kv.right_edge();
let k = (*k).clone();
let v = (*v).clone();
let subtree = clone_subtree(in_edge.descend());
// We can't destructure subtree directly
// because BTreeMap implements Drop
let (subroot, sublength) = unsafe {
let subtree = ManuallyDrop::new(subtree);
let root = ptr::read(&subtree.root);
let length = subtree.length;
(root, length)
};
out_node.push(k, v, subroot.unwrap_or_else(node::Root::new_leaf));
out_tree.length += 1 + sublength;
}
}
out_tree
}
}
}
if self.is_empty() {
// Ideally we'd call `BTreeMap::new` here, but that has the `K:
// Ord` constraint, which this method lacks.
BTreeMap { root: None, length: 0 }
} else {
clone_subtree(self.root.as_ref().unwrap().node_as_ref()) // unwrap succeeds because not empty
}
}
}
impl<K, Q: ?Sized> super::Recover<Q> for BTreeMap<K, ()>
where
K: Borrow<Q> + Ord,
Q: Ord,
{
type Key = K;
fn get(&self, key: &Q) -> Option<&K> {
let root_node = self.root.as_ref()?.node_as_ref();
match search::search_tree(root_node, key) {
Found(handle) => Some(handle.into_kv().0),
GoDown(_) => None,
}
}
fn take(&mut self, key: &Q) -> Option<K> {
let root_node = self.root.as_mut()?.node_as_mut();
match search::search_tree(root_node, key) {
Found(handle) => Some(
OccupiedEntry { handle, length: &mut self.length, _marker: PhantomData }
.remove_kv()
.0,
),
GoDown(_) => None,
}
}
fn replace(&mut self, key: K) -> Option<K> {
let root = Self::ensure_is_owned(&mut self.root);
match search::search_tree::<marker::Mut<'_>, K, (), K>(root.node_as_mut(), &key) {
Found(handle) => Some(mem::replace(handle.into_key_mut(), key)),
GoDown(handle) => {
VacantEntry { key, handle, length: &mut self.length, _marker: PhantomData }
.insert(());
None
}
}
}
}
/// An iterator over the entries of a `BTreeMap`.
///
/// This `struct` is created by the [`iter`] method on [`BTreeMap`]. See its
/// documentation for more.
///
/// [`iter`]: BTreeMap::iter
#[stable(feature = "rust1", since = "1.0.0")]
pub struct Iter<'a, K: 'a, V: 'a> {
range: Range<'a, K, V>,
length: usize,
}
#[stable(feature = "collection_debug", since = "1.17.0")]
impl<K: fmt::Debug, V: fmt::Debug> fmt::Debug for Iter<'_, K, V> {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
f.debug_list().entries(self.clone()).finish()
}
}
/// A mutable iterator over the entries of a `BTreeMap`.
///
/// This `struct` is created by the [`iter_mut`] method on [`BTreeMap`]. See its
/// documentation for more.
///
/// [`iter_mut`]: BTreeMap::iter_mut
#[stable(feature = "rust1", since = "1.0.0")]
#[derive(Debug)]
pub struct IterMut<'a, K: 'a, V: 'a> {
range: RangeMut<'a, K, V>,
length: usize,
}
/// An owning iterator over the entries of a `BTreeMap`.
///
/// This `struct` is created by the [`into_iter`] method on [`BTreeMap`]
/// (provided by the `IntoIterator` trait). See its documentation for more.
///
/// [`into_iter`]: IntoIterator::into_iter
#[stable(feature = "rust1", since = "1.0.0")]
pub struct IntoIter<K, V> {
front: Option<Handle<NodeRef<marker::Owned, K, V, marker::Leaf>, marker::Edge>>,
back: Option<Handle<NodeRef<marker::Owned, K, V, marker::Leaf>, marker::Edge>>,
length: usize,
}
#[stable(feature = "collection_debug", since = "1.17.0")]
impl<K: fmt::Debug, V: fmt::Debug> fmt::Debug for IntoIter<K, V> {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
let range = Range {
front: self.front.as_ref().map(|f| f.reborrow()),
back: self.back.as_ref().map(|b| b.reborrow()),
};
f.debug_list().entries(range).finish()
}
}
/// An iterator over the keys of a `BTreeMap`.
///
/// This `struct` is created by the [`keys`] method on [`BTreeMap`]. See its
/// documentation for more.
///
/// [`keys`]: BTreeMap::keys
#[stable(feature = "rust1", since = "1.0.0")]
pub struct Keys<'a, K: 'a, V: 'a> {
inner: Iter<'a, K, V>,
}
#[stable(feature = "collection_debug", since = "1.17.0")]
impl<K: fmt::Debug, V> fmt::Debug for Keys<'_, K, V> {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
f.debug_list().entries(self.clone()).finish()
}
}
/// An iterator over the values of a `BTreeMap`.
///
/// This `struct` is created by the [`values`] method on [`BTreeMap`]. See its
/// documentation for more.
///
/// [`values`]: BTreeMap::values
#[stable(feature = "rust1", since = "1.0.0")]
pub struct Values<'a, K: 'a, V: 'a> {
inner: Iter<'a, K, V>,
}
#[stable(feature = "collection_debug", since = "1.17.0")]
impl<K, V: fmt::Debug> fmt::Debug for Values<'_, K, V> {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
f.debug_list().entries(self.clone()).finish()
}
}
/// A mutable iterator over the values of a `BTreeMap`.
///
/// This `struct` is created by the [`values_mut`] method on [`BTreeMap`]. See its
/// documentation for more.
///
/// [`values_mut`]: BTreeMap::values_mut
#[stable(feature = "map_values_mut", since = "1.10.0")]
#[derive(Debug)]
pub struct ValuesMut<'a, K: 'a, V: 'a> {
inner: IterMut<'a, K, V>,
}
/// An owning iterator over the keys of a `BTreeMap`.
///
/// This `struct` is created by the [`into_keys`] method on [`BTreeMap`].
/// See its documentation for more.
///
/// [`into_keys`]: BTreeMap::into_keys
#[unstable(feature = "map_into_keys_values", issue = "75294")]
#[derive(Debug)]
pub struct IntoKeys<K, V> {
inner: IntoIter<K, V>,
}
/// An owning iterator over the values of a `BTreeMap`.
///
/// This `struct` is created by the [`into_values`] method on [`BTreeMap`].
/// See its documentation for more.
///
/// [`into_values`]: BTreeMap::into_values
#[unstable(feature = "map_into_keys_values", issue = "75294")]
#[derive(Debug)]
pub struct IntoValues<K, V> {
inner: IntoIter<K, V>,
}
/// An iterator over a sub-range of entries in a `BTreeMap`.
///
/// This `struct` is created by the [`range`] method on [`BTreeMap`]. See its
/// documentation for more.
///
/// [`range`]: BTreeMap::range
#[stable(feature = "btree_range", since = "1.17.0")]
pub struct Range<'a, K: 'a, V: 'a> {
front: Option<Handle<NodeRef<marker::Immut<'a>, K, V, marker::Leaf>, marker::Edge>>,
back: Option<Handle<NodeRef<marker::Immut<'a>, K, V, marker::Leaf>, marker::Edge>>,
}
#[stable(feature = "collection_debug", since = "1.17.0")]
impl<K: fmt::Debug, V: fmt::Debug> fmt::Debug for Range<'_, K, V> {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
f.debug_list().entries(self.clone()).finish()
}
}
/// A mutable iterator over a sub-range of entries in a `BTreeMap`.
///
/// This `struct` is created by the [`range_mut`] method on [`BTreeMap`]. See its
/// documentation for more.
///
/// [`range_mut`]: BTreeMap::range_mut
#[stable(feature = "btree_range", since = "1.17.0")]
pub struct RangeMut<'a, K: 'a, V: 'a> {
front: Option<Handle<NodeRef<marker::Mut<'a>, K, V, marker::Leaf>, marker::Edge>>,
back: Option<Handle<NodeRef<marker::Mut<'a>, K, V, marker::Leaf>, marker::Edge>>,
// Be invariant in `K` and `V`
_marker: PhantomData<&'a mut (K, V)>,
}
#[stable(feature = "collection_debug", since = "1.17.0")]
impl<K: fmt::Debug, V: fmt::Debug> fmt::Debug for RangeMut<'_, K, V> {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
let range = Range {
front: self.front.as_ref().map(|f| f.reborrow()),
back: self.back.as_ref().map(|b| b.reborrow()),
};
f.debug_list().entries(range).finish()
}
}
/// A view into a single entry in a map, which may either be vacant or occupied.
///
/// This `enum` is constructed from the [`entry`] method on [`BTreeMap`].
///
/// [`entry`]: BTreeMap::entry
#[stable(feature = "rust1", since = "1.0.0")]
pub enum Entry<'a, K: 'a, V: 'a> {
/// A vacant entry.
#[stable(feature = "rust1", since = "1.0.0")]
Vacant(#[stable(feature = "rust1", since = "1.0.0")] VacantEntry<'a, K, V>),
/// An occupied entry.
#[stable(feature = "rust1", since = "1.0.0")]
Occupied(#[stable(feature = "rust1", since = "1.0.0")] OccupiedEntry<'a, K, V>),
}
#[stable(feature = "debug_btree_map", since = "1.12.0")]
impl<K: Debug + Ord, V: Debug> Debug for Entry<'_, K, V> {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
match *self {
Vacant(ref v) => f.debug_tuple("Entry").field(v).finish(),
Occupied(ref o) => f.debug_tuple("Entry").field(o).finish(),
}
}
}
/// A view into a vacant entry in a `BTreeMap`.
/// It is part of the [`Entry`] enum.
///
/// [`Entry`]: enum.Entry.html
#[stable(feature = "rust1", since = "1.0.0")]
pub struct VacantEntry<'a, K: 'a, V: 'a> {
key: K,
handle: Handle<NodeRef<marker::Mut<'a>, K, V, marker::Leaf>, marker::Edge>,
length: &'a mut usize,
// Be invariant in `K` and `V`
_marker: PhantomData<&'a mut (K, V)>,
}
#[stable(feature = "debug_btree_map", since = "1.12.0")]
impl<K: Debug + Ord, V> Debug for VacantEntry<'_, K, V> {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
f.debug_tuple("VacantEntry").field(self.key()).finish()
}
}
/// A view into an occupied entry in a `BTreeMap`.
/// It is part of the [`Entry`] enum.
///
/// [`Entry`]: enum.Entry.html
#[stable(feature = "rust1", since = "1.0.0")]
pub struct OccupiedEntry<'a, K: 'a, V: 'a> {
handle: Handle<NodeRef<marker::Mut<'a>, K, V, marker::LeafOrInternal>, marker::KV>,
length: &'a mut usize,
// Be invariant in `K` and `V`
_marker: PhantomData<&'a mut (K, V)>,
}
#[stable(feature = "debug_btree_map", since = "1.12.0")]
impl<K: Debug + Ord, V: Debug> Debug for OccupiedEntry<'_, K, V> {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
f.debug_struct("OccupiedEntry").field("key", self.key()).field("value", self.get()).finish()
}
}
// An iterator for merging two sorted sequences into one
struct MergeIter<K, V, I: Iterator<Item = (K, V)>> {
left: Peekable<I>,
right: Peekable<I>,
}
impl<K: Ord, V> BTreeMap<K, V> {
/// Makes a new empty BTreeMap.
///
/// Does not allocate anything on its own.
///
/// # Examples
///
/// Basic usage:
///
/// ```
/// use std::collections::BTreeMap;
///
/// let mut map = BTreeMap::new();
///
/// // entries can now be inserted into the empty map
/// map.insert(1, "a");
/// ```
#[stable(feature = "rust1", since = "1.0.0")]
#[rustc_const_unstable(feature = "const_btree_new", issue = "71835")]
pub const fn new() -> BTreeMap<K, V> {
BTreeMap { root: None, length: 0 }
}
/// Clears the map, removing all elements.
///
/// # Examples
///
/// Basic usage:
///
/// ```
/// use std::collections::BTreeMap;
///
/// let mut a = BTreeMap::new();
/// a.insert(1, "a");
/// a.clear();
/// assert!(a.is_empty());
/// ```
#[stable(feature = "rust1", since = "1.0.0")]
pub fn clear(&mut self) {
*self = BTreeMap::new();
}
/// Returns a reference to the value corresponding to the key.
///
/// The key may be any borrowed form of the map's key type, but the ordering
/// on the borrowed form *must* match the ordering on the key type.
///
/// # Examples
///
/// Basic usage:
///
/// ```
/// use std::collections::BTreeMap;
///
/// let mut map = BTreeMap::new();
/// map.insert(1, "a");
/// assert_eq!(map.get(&1), Some(&"a"));
/// assert_eq!(map.get(&2), None);
/// ```
#[stable(feature = "rust1", since = "1.0.0")]
pub fn get<Q: ?Sized>(&self, key: &Q) -> Option<&V>
where
K: Borrow<Q>,
Q: Ord,
{
let root_node = self.root.as_ref()?.node_as_ref();
match search::search_tree(root_node, key) {
Found(handle) => Some(handle.into_kv().1),
GoDown(_) => None,
}
}
/// Returns the key-value pair corresponding to the supplied key.
///
/// The supplied key may be any borrowed form of the map's key type, but the ordering
/// on the borrowed form *must* match the ordering on the key type.
///
/// # Examples
///
/// ```
/// use std::collections::BTreeMap;
///
/// let mut map = BTreeMap::new();
/// map.insert(1, "a");
/// assert_eq!(map.get_key_value(&1), Some((&1, &"a")));
/// assert_eq!(map.get_key_value(&2), None);
/// ```
#[stable(feature = "map_get_key_value", since = "1.40.0")]
pub fn get_key_value<Q: ?Sized>(&self, k: &Q) -> Option<(&K, &V)>
where
K: Borrow<Q>,
Q: Ord,
{
let root_node = self.root.as_ref()?.node_as_ref();
match search::search_tree(root_node, k) {
Found(handle) => Some(handle.into_kv()),
GoDown(_) => None,
}
}
/// Returns the first key-value pair in the map.
/// The key in this pair is the minimum key in the map.
///
/// # Examples
///
/// Basic usage:
///
/// ```
/// #![feature(map_first_last)]
/// use std::collections::BTreeMap;
///
/// let mut map = BTreeMap::new();
/// assert_eq!(map.first_key_value(), None);
/// map.insert(1, "b");
/// map.insert(2, "a");
/// assert_eq!(map.first_key_value(), Some((&1, &"b")));
/// ```
#[unstable(feature = "map_first_last", issue = "62924")]
pub fn first_key_value(&self) -> Option<(&K, &V)> {
let root_node = self.root.as_ref()?.node_as_ref();
root_node.first_leaf_edge().right_kv().ok().map(Handle::into_kv)
}
/// Returns the first entry in the map for in-place manipulation.
/// The key of this entry is the minimum key in the map.
///
/// # Examples
///
/// ```
/// #![feature(map_first_last)]
/// use std::collections::BTreeMap;
///
/// let mut map = BTreeMap::new();
/// map.insert(1, "a");
/// map.insert(2, "b");
/// if let Some(mut entry) = map.first_entry() {
/// if *entry.key() > 0 {
/// entry.insert("first");
/// }
/// }
/// assert_eq!(*map.get(&1).unwrap(), "first");
/// assert_eq!(*map.get(&2).unwrap(), "b");
/// ```
#[unstable(feature = "map_first_last", issue = "62924")]
pub fn first_entry(&mut self) -> Option<OccupiedEntry<'_, K, V>> {
let root_node = self.root.as_mut()?.node_as_mut();
let kv = root_node.first_leaf_edge().right_kv().ok()?;
Some(OccupiedEntry {
handle: kv.forget_node_type(),
length: &mut self.length,
_marker: PhantomData,
})
}
/// Removes and returns the first element in the map.
/// The key of this element is the minimum key that was in the map.
///
/// # Examples
///
/// Draining elements in ascending order, while keeping a usable map each iteration.
///
/// ```
/// #![feature(map_first_last)]
/// use std::collections::BTreeMap;
///
/// let mut map = BTreeMap::new();
/// map.insert(1, "a");
/// map.insert(2, "b");
/// while let Some((key, _val)) = map.pop_first() {
/// assert!(map.iter().all(|(k, _v)| *k > key));
/// }
/// assert!(map.is_empty());
/// ```
#[unstable(feature = "map_first_last", issue = "62924")]
pub fn pop_first(&mut self) -> Option<(K, V)> {
self.first_entry().map(|entry| entry.remove_entry())
}
/// Returns the last key-value pair in the map.
/// The key in this pair is the maximum key in the map.
///
/// # Examples
///
/// Basic usage:
///
/// ```
/// #![feature(map_first_last)]
/// use std::collections::BTreeMap;
///
/// let mut map = BTreeMap::new();
/// map.insert(1, "b");
/// map.insert(2, "a");
/// assert_eq!(map.last_key_value(), Some((&2, &"a")));
/// ```
#[unstable(feature = "map_first_last", issue = "62924")]
pub fn last_key_value(&self) -> Option<(&K, &V)> {
let root_node = self.root.as_ref()?.node_as_ref();
root_node.last_leaf_edge().left_kv().ok().map(Handle::into_kv)
}
/// Returns the last entry in the map for in-place manipulation.
/// The key of this entry is the maximum key in the map.
///
/// # Examples
///
/// ```
/// #![feature(map_first_last)]
/// use std::collections::BTreeMap;
///
/// let mut map = BTreeMap::new();
/// map.insert(1, "a");
/// map.insert(2, "b");
/// if let Some(mut entry) = map.last_entry() {
/// if *entry.key() > 0 {
/// entry.insert("last");
/// }
/// }
/// assert_eq!(*map.get(&1).unwrap(), "a");
/// assert_eq!(*map.get(&2).unwrap(), "last");
/// ```
#[unstable(feature = "map_first_last", issue = "62924")]
pub fn last_entry(&mut self) -> Option<OccupiedEntry<'_, K, V>> {
let root_node = self.root.as_mut()?.node_as_mut();
let kv = root_node.last_leaf_edge().left_kv().ok()?;
Some(OccupiedEntry {
handle: kv.forget_node_type(),
length: &mut self.length,
_marker: PhantomData,
})
}
/// Removes and returns the last element in the map.
/// The key of this element is the maximum key that was in the map.
///
/// # Examples
///
/// Draining elements in descending order, while keeping a usable map each iteration.
///
/// ```
/// #![feature(map_first_last)]
/// use std::collections::BTreeMap;
///
/// let mut map = BTreeMap::new();
/// map.insert(1, "a");
/// map.insert(2, "b");
/// while let Some((key, _val)) = map.pop_last() {
/// assert!(map.iter().all(|(k, _v)| *k < key));
/// }
/// assert!(map.is_empty());
/// ```
#[unstable(feature = "map_first_last", issue = "62924")]
pub fn pop_last(&mut self) -> Option<(K, V)> {
self.last_entry().map(|entry| entry.remove_entry())
}
/// Returns `true` if the map contains a value for the specified key.
///
/// The key may be any borrowed form of the map's key type, but the ordering
/// on the borrowed form *must* match the ordering on the key type.
///
/// # Examples
///
/// Basic usage:
///
/// ```
/// use std::collections::BTreeMap;
///
/// let mut map = BTreeMap::new();
/// map.insert(1, "a");
/// assert_eq!(map.contains_key(&1), true);
/// assert_eq!(map.contains_key(&2), false);
/// ```
#[stable(feature = "rust1", since = "1.0.0")]
pub fn contains_key<Q: ?Sized>(&self, key: &Q) -> bool
where
K: Borrow<Q>,
Q: Ord,
{
self.get(key).is_some()
}
/// Returns a mutable reference to the value corresponding to the key.
///
/// The key may be any borrowed form of the map's key type, but the ordering
/// on the borrowed form *must* match the ordering on the key type.
///
/// # Examples
///
/// Basic usage:
///
/// ```
/// use std::collections::BTreeMap;
///
/// let mut map = BTreeMap::new();
/// map.insert(1, "a");
/// if let Some(x) = map.get_mut(&1) {
/// *x = "b";
/// }
/// assert_eq!(map[&1], "b");
/// ```
// See `get` for implementation notes, this is basically a copy-paste with mut's added
#[stable(feature = "rust1", since = "1.0.0")]
pub fn get_mut<Q: ?Sized>(&mut self, key: &Q) -> Option<&mut V>
where
K: Borrow<Q>,
Q: Ord,
{
let root_node = self.root.as_mut()?.node_as_mut();
match search::search_tree(root_node, key) {
Found(handle) => Some(handle.into_val_mut()),
GoDown(_) => None,
}
}
/// Inserts a key-value pair into the map.
///
/// If the map did not have this key present, `None` is returned.
///
/// If the map did have this key present, the value is updated, and the old
/// value is returned. The key is not updated, though; this matters for
/// types that can be `==` without being identical. See the [module-level
/// documentation] for more.
///
/// [module-level documentation]: index.html#insert-and-complex-keys
///
/// # Examples
///
/// Basic usage:
///
/// ```
/// use std::collections::BTreeMap;
///
/// let mut map = BTreeMap::new();
/// assert_eq!(map.insert(37, "a"), None);
/// assert_eq!(map.is_empty(), false);
///
/// map.insert(37, "b");
/// assert_eq!(map.insert(37, "c"), Some("b"));
/// assert_eq!(map[&37], "c");
/// ```
#[stable(feature = "rust1", since = "1.0.0")]
pub fn insert(&mut self, key: K, value: V) -> Option<V> {
match self.entry(key) {
Occupied(mut entry) => Some(entry.insert(value)),
Vacant(entry) => {
entry.insert(value);
None
}
}
}
/// Removes a key from the map, returning the value at the key if the key
/// was previously in the map.
///
/// The key may be any borrowed form of the map's key type, but the ordering
/// on the borrowed form *must* match the ordering on the key type.
///
/// # Examples
///
/// Basic usage:
///
/// ```
/// use std::collections::BTreeMap;
///
/// let mut map = BTreeMap::new();
/// map.insert(1, "a");
/// assert_eq!(map.remove(&1), Some("a"));
/// assert_eq!(map.remove(&1), None);
/// ```
#[stable(feature = "rust1", since = "1.0.0")]
pub fn remove<Q: ?Sized>(&mut self, key: &Q) -> Option<V>
where
K: Borrow<Q>,
Q: Ord,
{
self.remove_entry(key).map(|(_, v)| v)
}
/// Removes a key from the map, returning the stored key and value if the key
/// was previously in the map.
///
/// The key may be any borrowed form of the map's key type, but the ordering
/// on the borrowed form *must* match the ordering on the key type.
///
/// # Examples
///
/// Basic usage:
///
/// ```
/// use std::collections::BTreeMap;
///
/// let mut map = BTreeMap::new();
/// map.insert(1, "a");
/// assert_eq!(map.remove_entry(&1), Some((1, "a")));
/// assert_eq!(map.remove_entry(&1), None);
/// ```
#[stable(feature = "btreemap_remove_entry", since = "1.45.0")]
pub fn remove_entry<Q: ?Sized>(&mut self, key: &Q) -> Option<(K, V)>
where
K: Borrow<Q>,
Q: Ord,
{
let root_node = self.root.as_mut()?.node_as_mut();
match search::search_tree(root_node, key) {
Found(handle) => Some(
OccupiedEntry { handle, length: &mut self.length, _marker: PhantomData }
.remove_entry(),
),
GoDown(_) => None,
}
}
/// Moves all elements from `other` into `Self`, leaving `other` empty.
///
/// # Examples
///
/// ```
/// use std::collections::BTreeMap;
///
/// let mut a = BTreeMap::new();
/// a.insert(1, "a");
/// a.insert(2, "b");
/// a.insert(3, "c");
///
/// let mut b = BTreeMap::new();
/// b.insert(3, "d");
/// b.insert(4, "e");
/// b.insert(5, "f");
///
/// a.append(&mut b);
///
/// assert_eq!(a.len(), 5);
/// assert_eq!(b.len(), 0);
///
/// assert_eq!(a[&1], "a");
/// assert_eq!(a[&2], "b");
/// assert_eq!(a[&3], "d");
/// assert_eq!(a[&4], "e");
/// assert_eq!(a[&5], "f");
/// ```
#[stable(feature = "btree_append", since = "1.11.0")]
pub fn append(&mut self, other: &mut Self) {
// Do we have to append anything at all?
if other.is_empty() {
return;
}
// We can just swap `self` and `other` if `self` is empty.
if self.is_empty() {
mem::swap(self, other);
return;
}
// First, we merge `self` and `other` into a sorted sequence in linear time.
let self_iter = mem::take(self).into_iter();
let other_iter = mem::take(other).into_iter();
let iter = MergeIter { left: self_iter.peekable(), right: other_iter.peekable() };
// Second, we build a tree from the sorted sequence in linear time.
self.from_sorted_iter(iter);
}
/// Constructs a double-ended iterator over a sub-range of elements in the map.
/// The simplest way is to use the range syntax `min..max`, thus `range(min..max)` will
/// yield elements from min (inclusive) to max (exclusive).
/// The range may also be entered as `(Bound<T>, Bound<T>)`, so for example
/// `range((Excluded(4), Included(10)))` will yield a left-exclusive, right-inclusive
/// range from 4 to 10.
///
/// # Panics
///
/// Panics if range `start > end`.
/// Panics if range `start == end` and both bounds are `Excluded`.
///
/// # Examples
///
/// Basic usage:
///
/// ```
/// use std::collections::BTreeMap;
/// use std::ops::Bound::Included;
///
/// let mut map = BTreeMap::new();
/// map.insert(3, "a");
/// map.insert(5, "b");
/// map.insert(8, "c");
/// for (&key, &value) in map.range((Included(&4), Included(&8))) {
/// println!("{}: {}", key, value);
/// }
/// assert_eq!(Some((&5, &"b")), map.range(4..).next());
/// ```
#[stable(feature = "btree_range", since = "1.17.0")]
pub fn range<T: ?Sized, R>(&self, range: R) -> Range<'_, K, V>
where
T: Ord,
K: Borrow<T>,
R: RangeBounds<T>,
{