| //! A priority queue implemented with a binary heap. | |
| //! | |
| //! Insertion and popping the largest element have *O*(log(*n*)) time complexity. | |
| //! Checking the largest element is *O*(1). Converting a vector to a binary heap | |
| //! can be done in-place, and has *O*(*n*) complexity. A binary heap can also be | |
| //! converted to a sorted vector in-place, allowing it to be used for an *O*(*n* * log(*n*)) | |
| //! in-place heapsort. | |
| //! | |
| //! # Examples | |
| //! | |
| //! This is a larger example that implements [Dijkstra's algorithm][dijkstra] | |
| //! to solve the [shortest path problem][sssp] on a [directed graph][dir_graph]. | |
| //! It shows how to use [`BinaryHeap`] with custom types. | |
| //! | |
| //! [dijkstra]: https://en.wikipedia.org/wiki/Dijkstra%27s_algorithm | |
| //! [sssp]: https://en.wikipedia.org/wiki/Shortest_path_problem | |
| //! [dir_graph]: https://en.wikipedia.org/wiki/Directed_graph | |
| //! | |
| //! ``` | |
| //! use std::cmp::Ordering; | |
| //! use std::collections::BinaryHeap; | |
| //! | |
| //! #[derive(Copy, Clone, Eq, PartialEq)] | |
| //! struct State { | |
| //! cost: usize, | |
| //! position: usize, | |
| //! } | |
| //! | |
| //! // The priority queue depends on `Ord`. | |
| //! // Explicitly implement the trait so the queue becomes a min-heap | |
| //! // instead of a max-heap. | |
| //! impl Ord for State { | |
| //! fn cmp(&self, other: &Self) -> Ordering { | |
| //! // Notice that we flip the ordering on costs. | |
| //! // In case of a tie we compare positions - this step is necessary | |
| //! // to make implementations of `PartialEq` and `Ord` consistent. | |
| //! other.cost.cmp(&self.cost) | |
| //! .then_with(|| self.position.cmp(&other.position)) | |
| //! } | |
| //! } | |
| //! | |
| //! // `PartialOrd` needs to be implemented as well. | |
| //! impl PartialOrd for State { | |
| //! fn partial_cmp(&self, other: &Self) -> Option<Ordering> { | |
| //! Some(self.cmp(other)) | |
| //! } | |
| //! } | |
| //! | |
| //! // Each node is represented as a `usize`, for a shorter implementation. | |
| //! struct Edge { | |
| //! node: usize, | |
| //! cost: usize, | |
| //! } | |
| //! | |
| //! // Dijkstra's shortest path algorithm. | |
| //! | |
| //! // Start at `start` and use `dist` to track the current shortest distance | |
| //! // to each node. This implementation isn't memory-efficient as it may leave duplicate | |
| //! // nodes in the queue. It also uses `usize::MAX` as a sentinel value, | |
| //! // for a simpler implementation. | |
| //! fn shortest_path(adj_list: &Vec<Vec<Edge>>, start: usize, goal: usize) -> Option<usize> { | |
| //! // dist[node] = current shortest distance from `start` to `node` | |
| //! let mut dist: Vec<_> = (0..adj_list.len()).map(|_| usize::MAX).collect(); | |
| //! | |
| //! let mut heap = BinaryHeap::new(); | |
| //! | |
| //! // We're at `start`, with a zero cost | |
| //! dist[start] = 0; | |
| //! heap.push(State { cost: 0, position: start }); | |
| //! | |
| //! // Examine the frontier with lower cost nodes first (min-heap) | |
| //! while let Some(State { cost, position }) = heap.pop() { | |
| //! // Alternatively we could have continued to find all shortest paths | |
| //! if position == goal { return Some(cost); } | |
| //! | |
| //! // Important as we may have already found a better way | |
| //! if cost > dist[position] { continue; } | |
| //! | |
| //! // For each node we can reach, see if we can find a way with | |
| //! // a lower cost going through this node | |
| //! for edge in &adj_list[position] { | |
| //! let next = State { cost: cost + edge.cost, position: edge.node }; | |
| //! | |
| //! // If so, add it to the frontier and continue | |
| //! if next.cost < dist[next.position] { | |
| //! heap.push(next); | |
| //! // Relaxation, we have now found a better way | |
| //! dist[next.position] = next.cost; | |
| //! } | |
| //! } | |
| //! } | |
| //! | |
| //! // Goal not reachable | |
| //! None | |
| //! } | |
| //! | |
| //! fn main() { | |
| //! // This is the directed graph we're going to use. | |
| //! // The node numbers correspond to the different states, | |
| //! // and the edge weights symbolize the cost of moving | |
| //! // from one node to another. | |
| //! // Note that the edges are one-way. | |
| //! // | |
| //! // 7 | |
| //! // +-----------------+ | |
| //! // | | | |
| //! // v 1 2 | 2 | |
| //! // 0 -----> 1 -----> 3 ---> 4 | |
| //! // | ^ ^ ^ | |
| //! // | | 1 | | | |
| //! // | | | 3 | 1 | |
| //! // +------> 2 -------+ | | |
| //! // 10 | | | |
| //! // +---------------+ | |
| //! // | |
| //! // The graph is represented as an adjacency list where each index, | |
| //! // corresponding to a node value, has a list of outgoing edges. | |
| //! // Chosen for its efficiency. | |
| //! let graph = vec![ | |
| //! // Node 0 | |
| //! vec![Edge { node: 2, cost: 10 }, | |
| //! Edge { node: 1, cost: 1 }], | |
| //! // Node 1 | |
| //! vec![Edge { node: 3, cost: 2 }], | |
| //! // Node 2 | |
| //! vec![Edge { node: 1, cost: 1 }, | |
| //! Edge { node: 3, cost: 3 }, | |
| //! Edge { node: 4, cost: 1 }], | |
| //! // Node 3 | |
| //! vec![Edge { node: 0, cost: 7 }, | |
| //! Edge { node: 4, cost: 2 }], | |
| //! // Node 4 | |
| //! vec![]]; | |
| //! | |
| //! assert_eq!(shortest_path(&graph, 0, 1), Some(1)); | |
| //! assert_eq!(shortest_path(&graph, 0, 3), Some(3)); | |
| //! assert_eq!(shortest_path(&graph, 3, 0), Some(7)); | |
| //! assert_eq!(shortest_path(&graph, 0, 4), Some(5)); | |
| //! assert_eq!(shortest_path(&graph, 4, 0), None); | |
| //! } | |
| //! ``` | |
| #![allow(missing_docs)] | |
| #![stable(feature = "rust1", since = "1.0.0")] | |
| use core::alloc::Allocator; | |
| use core::iter::{FusedIterator, InPlaceIterable, SourceIter, TrustedFused, TrustedLen}; | |
| use core::mem::{self, ManuallyDrop, swap}; | |
| use core::num::NonZero; | |
| use core::ops::{Deref, DerefMut}; | |
| use core::{fmt, ptr}; | |
| use crate::alloc::Global; | |
| use crate::collections::TryReserveError; | |
| use crate::slice; | |
| #[cfg(not(test))] | |
| use crate::vec::AsVecIntoIter; | |
| use crate::vec::{self, Vec}; | |
| /// A priority queue implemented with a binary heap. | |
| /// | |
| /// This will be a max-heap. | |
| /// | |
| /// It is a logic error for an item to be modified in such a way that the | |
| /// item's ordering relative to any other item, as determined by the [`Ord`] | |
| /// trait, changes while it is in the heap. This is normally only possible | |
| /// through interior mutability, global state, I/O, or unsafe code. The | |
| /// behavior resulting from such a logic error is not specified, but will | |
| /// be encapsulated to the `BinaryHeap` that observed the logic error and not | |
| /// result in undefined behavior. This could include panics, incorrect results, | |
| /// aborts, memory leaks, and non-termination. | |
| /// | |
| /// As long as no elements change their relative order while being in the heap | |
| /// as described above, the API of `BinaryHeap` guarantees that the heap | |
| /// invariant remains intact i.e. its methods all behave as documented. For | |
| /// example if a method is documented as iterating in sorted order, that's | |
| /// guaranteed to work as long as elements in the heap have not changed order, | |
| /// even in the presence of closures getting unwinded out of, iterators getting | |
| /// leaked, and similar foolishness. | |
| /// | |
| /// # Examples | |
| /// | |
| /// ``` | |
| /// use std::collections::BinaryHeap; | |
| /// | |
| /// // Type inference lets us omit an explicit type signature (which | |
| /// // would be `BinaryHeap<i32>` in this example). | |
| /// let mut heap = BinaryHeap::new(); | |
| /// | |
| /// // We can use peek to look at the next item in the heap. In this case, | |
| /// // there's no items in there yet so we get None. | |
| /// assert_eq!(heap.peek(), None); | |
| /// | |
| /// // Let's add some scores... | |
| /// heap.push(1); | |
| /// heap.push(5); | |
| /// heap.push(2); | |
| /// | |
| /// // Now peek shows the most important item in the heap. | |
| /// assert_eq!(heap.peek(), Some(&5)); | |
| /// | |
| /// // We can check the length of a heap. | |
| /// assert_eq!(heap.len(), 3); | |
| /// | |
| /// // We can iterate over the items in the heap, although they are returned in | |
| /// // a random order. | |
| /// for x in &heap { | |
| /// println!("{x}"); | |
| /// } | |
| /// | |
| /// // If we instead pop these scores, they should come back in order. | |
| /// assert_eq!(heap.pop(), Some(5)); | |
| /// assert_eq!(heap.pop(), Some(2)); | |
| /// assert_eq!(heap.pop(), Some(1)); | |
| /// assert_eq!(heap.pop(), None); | |
| /// | |
| /// // We can clear the heap of any remaining items. | |
| /// heap.clear(); | |
| /// | |
| /// // The heap should now be empty. | |
| /// assert!(heap.is_empty()) | |
| /// ``` | |
| /// | |
| /// A `BinaryHeap` with a known list of items can be initialized from an array: | |
| /// | |
| /// ``` | |
| /// use std::collections::BinaryHeap; | |
| /// | |
| /// let heap = BinaryHeap::from([1, 5, 2]); | |
| /// ``` | |
| /// | |
| /// ## Min-heap | |
| /// | |
| /// Either [`core::cmp::Reverse`] or a custom [`Ord`] implementation can be used to | |
| /// make `BinaryHeap` a min-heap. This makes `heap.pop()` return the smallest | |
| /// value instead of the greatest one. | |
| /// | |
| /// ``` | |
| /// use std::collections::BinaryHeap; | |
| /// use std::cmp::Reverse; | |
| /// | |
| /// let mut heap = BinaryHeap::new(); | |
| /// | |
| /// // Wrap values in `Reverse` | |
| /// heap.push(Reverse(1)); | |
| /// heap.push(Reverse(5)); | |
| /// heap.push(Reverse(2)); | |
| /// | |
| /// // If we pop these scores now, they should come back in the reverse order. | |
| /// assert_eq!(heap.pop(), Some(Reverse(1))); | |
| /// assert_eq!(heap.pop(), Some(Reverse(2))); | |
| /// assert_eq!(heap.pop(), Some(Reverse(5))); | |
| /// assert_eq!(heap.pop(), None); | |
| /// ``` | |
| /// | |
| /// # Time complexity | |
| /// | |
| /// | [push] | [pop] | [peek]/[peek\_mut] | | |
| /// |---------|---------------|--------------------| | |
| /// | *O*(1)~ | *O*(log(*n*)) | *O*(1) | | |
| /// | |
| /// The value for `push` is an expected cost; the method documentation gives a | |
| /// more detailed analysis. | |
| /// | |
| /// [`core::cmp::Reverse`]: core::cmp::Reverse | |
| /// [`Cell`]: core::cell::Cell | |
| /// [`RefCell`]: core::cell::RefCell | |
| /// [push]: BinaryHeap::push | |
| /// [pop]: BinaryHeap::pop | |
| /// [peek]: BinaryHeap::peek | |
| /// [peek\_mut]: BinaryHeap::peek_mut | |
| #[stable(feature = "rust1", since = "1.0.0")] | |
| #[cfg_attr(not(test), rustc_diagnostic_item = "BinaryHeap")] | |
| pub struct BinaryHeap< | |
| T, | |
| #[unstable(feature = "allocator_api", issue = "32838")] A: Allocator = Global, | |
| > { | |
| data: Vec<T, A>, | |
| } | |
| /// Structure wrapping a mutable reference to the greatest item on a | |
| /// `BinaryHeap`. | |
| /// | |
| /// This `struct` is created by the [`peek_mut`] method on [`BinaryHeap`]. See | |
| /// its documentation for more. | |
| /// | |
| /// [`peek_mut`]: BinaryHeap::peek_mut | |
| #[stable(feature = "binary_heap_peek_mut", since = "1.12.0")] | |
| pub struct PeekMut< | |
| 'a, | |
| T: 'a + Ord, | |
| #[unstable(feature = "allocator_api", issue = "32838")] A: Allocator = Global, | |
| > { | |
| heap: &'a mut BinaryHeap<T, A>, | |
| // If a set_len + sift_down are required, this is Some. If a &mut T has not | |
| // yet been exposed to peek_mut()'s caller, it's None. | |
| original_len: Option<NonZero<usize>>, | |
| } | |
| #[stable(feature = "collection_debug", since = "1.17.0")] | |
| impl<T: Ord + fmt::Debug, A: Allocator> fmt::Debug for PeekMut<'_, T, A> { | |
| fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result { | |
| f.debug_tuple("PeekMut").field(&self.heap.data[0]).finish() | |
| } | |
| } | |
| #[stable(feature = "binary_heap_peek_mut", since = "1.12.0")] | |
| impl<T: Ord, A: Allocator> Drop for PeekMut<'_, T, A> { | |
| fn drop(&mut self) { | |
| if let Some(original_len) = self.original_len { | |
| // SAFETY: That's how many elements were in the Vec at the time of | |
| // the PeekMut::deref_mut call, and therefore also at the time of | |
| // the BinaryHeap::peek_mut call. Since the PeekMut did not end up | |
| // getting leaked, we are now undoing the leak amplification that | |
| // the DerefMut prepared for. | |
| unsafe { self.heap.data.set_len(original_len.get()) }; | |
| // SAFETY: PeekMut is only instantiated for non-empty heaps. | |
| unsafe { self.heap.sift_down(0) }; | |
| } | |
| } | |
| } | |
| #[stable(feature = "binary_heap_peek_mut", since = "1.12.0")] | |
| impl<T: Ord, A: Allocator> Deref for PeekMut<'_, T, A> { | |
| type Target = T; | |
| fn deref(&self) -> &T { | |
| debug_assert!(!self.heap.is_empty()); | |
| // SAFE: PeekMut is only instantiated for non-empty heaps | |
| unsafe { self.heap.data.get_unchecked(0) } | |
| } | |
| } | |
| #[stable(feature = "binary_heap_peek_mut", since = "1.12.0")] | |
| impl<T: Ord, A: Allocator> DerefMut for PeekMut<'_, T, A> { | |
| fn deref_mut(&mut self) -> &mut T { | |
| debug_assert!(!self.heap.is_empty()); | |
| let len = self.heap.len(); | |
| if len > 1 { | |
| // Here we preemptively leak all the rest of the underlying vector | |
| // after the currently max element. If the caller mutates the &mut T | |
| // we're about to give them, and then leaks the PeekMut, all these | |
| // elements will remain leaked. If they don't leak the PeekMut, then | |
| // either Drop or PeekMut::pop will un-leak the vector elements. | |
| // | |
| // This is technique is described throughout several other places in | |
| // the standard library as "leak amplification". | |
| unsafe { | |
| // SAFETY: len > 1 so len != 0. | |
| self.original_len = Some(NonZero::new_unchecked(len)); | |
| // SAFETY: len > 1 so all this does for now is leak elements, | |
| // which is safe. | |
| self.heap.data.set_len(1); | |
| } | |
| } | |
| // SAFE: PeekMut is only instantiated for non-empty heaps | |
| unsafe { self.heap.data.get_unchecked_mut(0) } | |
| } | |
| } | |
| impl<'a, T: Ord, A: Allocator> PeekMut<'a, T, A> { | |
| /// Sifts the current element to its new position. | |
| /// | |
| /// Afterwards refers to the new element. Returns if the element changed. | |
| /// | |
| /// ## Examples | |
| /// | |
| /// The condition can be used to upper bound all elements in the heap. When only few elements | |
| /// are affected, the heap's sort ensures this is faster than a reconstruction from the raw | |
| /// element list and requires no additional allocation. | |
| /// | |
| /// ``` | |
| /// #![feature(binary_heap_peek_mut_refresh)] | |
| /// use std::collections::BinaryHeap; | |
| /// | |
| /// let mut heap: BinaryHeap<u32> = (0..128).collect(); | |
| /// let mut peek = heap.peek_mut().unwrap(); | |
| /// | |
| /// loop { | |
| /// *peek = 99; | |
| /// | |
| /// if !peek.refresh() { | |
| /// break; | |
| /// } | |
| /// } | |
| /// | |
| /// // Post condition, this is now an upper bound. | |
| /// assert!(*peek < 100); | |
| /// ``` | |
| /// | |
| /// When the element remains the maximum after modification, the peek remains unchanged: | |
| /// | |
| /// ``` | |
| /// #![feature(binary_heap_peek_mut_refresh)] | |
| /// use std::collections::BinaryHeap; | |
| /// | |
| /// let mut heap: BinaryHeap<u32> = [1, 2, 3].into(); | |
| /// let mut peek = heap.peek_mut().unwrap(); | |
| /// | |
| /// assert_eq!(*peek, 3); | |
| /// *peek = 42; | |
| /// | |
| /// // When we refresh, the peek is updated to the new maximum. | |
| /// assert!(!peek.refresh(), "42 is even larger than 3"); | |
| /// assert_eq!(*peek, 42); | |
| /// ``` | |
| #[unstable(feature = "binary_heap_peek_mut_refresh", issue = "138355")] | |
| #[must_use = "is equivalent to dropping and getting a new PeekMut except for return information"] | |
| pub fn refresh(&mut self) -> bool { | |
| // The length of the underlying heap is unchanged by sifting down. The value stored for leak | |
| // amplification thus remains accurate. We erase the leak amplification firstly because the | |
| // operation is then equivalent to constructing a new PeekMut and secondly this avoids any | |
| // future complication where original_len being non-empty would be interpreted as the heap | |
| // having been leak amplified instead of checking the heap itself. | |
| if let Some(original_len) = self.original_len.take() { | |
| // SAFETY: This is how many elements were in the Vec at the time of | |
| // the BinaryHeap::peek_mut call. | |
| unsafe { self.heap.data.set_len(original_len.get()) }; | |
| // The length of the heap did not change by sifting, upholding our own invariants. | |
| // SAFETY: PeekMut is only instantiated for non-empty heaps. | |
| (unsafe { self.heap.sift_down(0) }) != 0 | |
| } else { | |
| // The element was not modified. | |
| false | |
| } | |
| } | |
| /// Removes the peeked value from the heap and returns it. | |
| #[stable(feature = "binary_heap_peek_mut_pop", since = "1.18.0")] | |
| pub fn pop(mut this: PeekMut<'a, T, A>) -> T { | |
| if let Some(original_len) = this.original_len.take() { | |
| // SAFETY: This is how many elements were in the Vec at the time of | |
| // the BinaryHeap::peek_mut call. | |
| unsafe { this.heap.data.set_len(original_len.get()) }; | |
| // Unlike in Drop, here we don't also need to do a sift_down even if | |
| // the caller could've mutated the element. It is removed from the | |
| // heap on the next line and pop() is not sensitive to its value. | |
| } | |
| // SAFETY: Have a `PeekMut` element proves that the associated binary heap being non-empty, | |
| // so the `pop` operation will not fail. | |
| unsafe { this.heap.pop().unwrap_unchecked() } | |
| } | |
| } | |
| #[stable(feature = "rust1", since = "1.0.0")] | |
| impl<T: Clone, A: Allocator + Clone> Clone for BinaryHeap<T, A> { | |
| fn clone(&self) -> Self { | |
| BinaryHeap { data: self.data.clone() } | |
| } | |
| /// Overwrites the contents of `self` with a clone of the contents of `source`. | |
| /// | |
| /// This method is preferred over simply assigning `source.clone()` to `self`, | |
| /// as it avoids reallocation if possible. | |
| /// | |
| /// See [`Vec::clone_from()`] for more details. | |
| fn clone_from(&mut self, source: &Self) { | |
| self.data.clone_from(&source.data); | |
| } | |
| } | |
| #[stable(feature = "rust1", since = "1.0.0")] | |
| impl<T> Default for BinaryHeap<T> { | |
| /// Creates an empty `BinaryHeap<T>`. | |
| #[inline] | |
| fn default() -> BinaryHeap<T> { | |
| BinaryHeap::new() | |
| } | |
| } | |
| #[stable(feature = "binaryheap_debug", since = "1.4.0")] | |
| impl<T: fmt::Debug, A: Allocator> fmt::Debug for BinaryHeap<T, A> { | |
| fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result { | |
| f.debug_list().entries(self.iter()).finish() | |
| } | |
| } | |
| struct RebuildOnDrop< | |
| 'a, | |
| T: Ord, | |
| #[unstable(feature = "allocator_api", issue = "32838")] A: Allocator = Global, | |
| > { | |
| heap: &'a mut BinaryHeap<T, A>, | |
| rebuild_from: usize, | |
| } | |
| impl<T: Ord, A: Allocator> Drop for RebuildOnDrop<'_, T, A> { | |
| fn drop(&mut self) { | |
| self.heap.rebuild_tail(self.rebuild_from); | |
| } | |
| } | |
| impl<T> BinaryHeap<T> { | |
| /// Creates an empty `BinaryHeap` as a max-heap. | |
| /// | |
| /// # Examples | |
| /// | |
| /// Basic usage: | |
| /// | |
| /// ``` | |
| /// use std::collections::BinaryHeap; | |
| /// let mut heap = BinaryHeap::new(); | |
| /// heap.push(4); | |
| /// ``` | |
| #[stable(feature = "rust1", since = "1.0.0")] | |
| #[rustc_const_stable(feature = "const_binary_heap_constructor", since = "1.80.0")] | |
| #[must_use] | |
| pub const fn new() -> BinaryHeap<T> { | |
| BinaryHeap { data: vec![] } | |
| } | |
| /// Creates an empty `BinaryHeap` with at least the specified capacity. | |
| /// | |
| /// The binary heap will be able to hold at least `capacity` elements without | |
| /// reallocating. This method is allowed to allocate for more elements than | |
| /// `capacity`. If `capacity` is zero, the binary heap will not allocate. | |
| /// | |
| /// # Examples | |
| /// | |
| /// Basic usage: | |
| /// | |
| /// ``` | |
| /// use std::collections::BinaryHeap; | |
| /// let mut heap = BinaryHeap::with_capacity(10); | |
| /// heap.push(4); | |
| /// ``` | |
| #[stable(feature = "rust1", since = "1.0.0")] | |
| #[must_use] | |
| pub fn with_capacity(capacity: usize) -> BinaryHeap<T> { | |
| BinaryHeap { data: Vec::with_capacity(capacity) } | |
| } | |
| } | |
| impl<T, A: Allocator> BinaryHeap<T, A> { | |
| /// Creates an empty `BinaryHeap` as a max-heap, using `A` as allocator. | |
| /// | |
| /// # Examples | |
| /// | |
| /// Basic usage: | |
| /// | |
| /// ``` | |
| /// #![feature(allocator_api)] | |
| /// | |
| /// use std::alloc::System; | |
| /// use std::collections::BinaryHeap; | |
| /// | |
| /// let heap : BinaryHeap<i32, System> = BinaryHeap::new_in(System); | |
| /// ``` | |
| #[unstable(feature = "allocator_api", issue = "32838")] | |
| #[must_use] | |
| pub const fn new_in(alloc: A) -> BinaryHeap<T, A> { | |
| BinaryHeap { data: Vec::new_in(alloc) } | |
| } | |
| /// Creates an empty `BinaryHeap` with at least the specified capacity, using `A` as allocator. | |
| /// | |
| /// The binary heap will be able to hold at least `capacity` elements without | |
| /// reallocating. This method is allowed to allocate for more elements than | |
| /// `capacity`. If `capacity` is zero, the binary heap will not allocate. | |
| /// | |
| /// # Examples | |
| /// | |
| /// Basic usage: | |
| /// | |
| /// ``` | |
| /// #![feature(allocator_api)] | |
| /// | |
| /// use std::alloc::System; | |
| /// use std::collections::BinaryHeap; | |
| /// | |
| /// let heap: BinaryHeap<i32, System> = BinaryHeap::with_capacity_in(10, System); | |
| /// ``` | |
| #[unstable(feature = "allocator_api", issue = "32838")] | |
| #[must_use] | |
| pub fn with_capacity_in(capacity: usize, alloc: A) -> BinaryHeap<T, A> { | |
| BinaryHeap { data: Vec::with_capacity_in(capacity, alloc) } | |
| } | |
| /// Creates a `BinaryHeap` using the supplied `vec`. This does not rebuild the heap, | |
| /// so `vec` must already be a max-heap. | |
| /// | |
| /// # Safety | |
| /// | |
| /// The supplied `vec` must be a max-heap, i.e. for all indices `0 < i < vec.len()`, | |
| /// `vec[(i - 1) / 2] >= vec[i]`. | |
| /// | |
| /// # Examples | |
| /// | |
| /// Basic usage: | |
| /// | |
| /// ``` | |
| /// #![feature(binary_heap_from_raw_vec)] | |
| /// | |
| /// use std::collections::BinaryHeap; | |
| /// let heap = BinaryHeap::from([1, 2, 3]); | |
| /// let vec = heap.into_vec(); | |
| /// | |
| /// // Safety: vec is the output of heap.from_vec(), so is a max-heap. | |
| /// let mut new_heap = unsafe { | |
| /// BinaryHeap::from_raw_vec(vec) | |
| /// }; | |
| /// assert_eq!(new_heap.pop(), Some(3)); | |
| /// assert_eq!(new_heap.pop(), Some(2)); | |
| /// assert_eq!(new_heap.pop(), Some(1)); | |
| /// assert_eq!(new_heap.pop(), None); | |
| /// ``` | |
| #[unstable(feature = "binary_heap_from_raw_vec", issue = "152500")] | |
| #[must_use] | |
| pub unsafe fn from_raw_vec(vec: Vec<T, A>) -> BinaryHeap<T, A> { | |
| BinaryHeap { data: vec } | |
| } | |
| } | |
| impl<T: Ord, A: Allocator> BinaryHeap<T, A> { | |
| /// Returns a mutable reference to the greatest item in the binary heap, or | |
| /// `None` if it is empty. | |
| /// | |
| /// Note: If the `PeekMut` value is leaked, some heap elements might get | |
| /// leaked along with it, but the remaining elements will remain a valid | |
| /// heap. | |
| /// | |
| /// # Examples | |
| /// | |
| /// Basic usage: | |
| /// | |
| /// ``` | |
| /// use std::collections::BinaryHeap; | |
| /// let mut heap = BinaryHeap::new(); | |
| /// assert!(heap.peek_mut().is_none()); | |
| /// | |
| /// heap.push(1); | |
| /// heap.push(5); | |
| /// heap.push(2); | |
| /// if let Some(mut val) = heap.peek_mut() { | |
| /// *val = 0; | |
| /// } | |
| /// assert_eq!(heap.peek(), Some(&2)); | |
| /// ``` | |
| /// | |
| /// # Time complexity | |
| /// | |
| /// If the item is modified then the worst case time complexity is *O*(log(*n*)), | |
| /// otherwise it's *O*(1). | |
| #[stable(feature = "binary_heap_peek_mut", since = "1.12.0")] | |
| pub fn peek_mut(&mut self) -> Option<PeekMut<'_, T, A>> { | |
| if self.is_empty() { None } else { Some(PeekMut { heap: self, original_len: None }) } | |
| } | |
| /// Removes the greatest item from the binary heap and returns it, or `None` if it | |
| /// is empty. | |
| /// | |
| /// # Examples | |
| /// | |
| /// Basic usage: | |
| /// | |
| /// ``` | |
| /// use std::collections::BinaryHeap; | |
| /// let mut heap = BinaryHeap::from([1, 3]); | |
| /// | |
| /// assert_eq!(heap.pop(), Some(3)); | |
| /// assert_eq!(heap.pop(), Some(1)); | |
| /// assert_eq!(heap.pop(), None); | |
| /// ``` | |
| /// | |
| /// # Time complexity | |
| /// | |
| /// The worst case cost of `pop` on a heap containing *n* elements is *O*(log(*n*)). | |
| #[stable(feature = "rust1", since = "1.0.0")] | |
| pub fn pop(&mut self) -> Option<T> { | |
| self.data.pop().map(|mut item| { | |
| if !self.is_empty() { | |
| swap(&mut item, &mut self.data[0]); | |
| // SAFETY: !self.is_empty() means that self.len() > 0 | |
| unsafe { self.sift_down_to_bottom(0) }; | |
| } | |
| item | |
| }) | |
| } | |
| /// Removes and returns the greatest item from the binary heap if the predicate | |
| /// returns `true`, or [`None`] if the predicate returns false or the heap | |
| /// is empty (the predicate will not be called in that case). | |
| /// | |
| /// # Examples | |
| /// | |
| /// ``` | |
| /// #![feature(binary_heap_pop_if)] | |
| /// use std::collections::BinaryHeap; | |
| /// let mut heap = BinaryHeap::from([1, 2]); | |
| /// let pred = |x: &i32| *x % 2 == 0; | |
| /// | |
| /// assert_eq!(heap.pop_if(pred), Some(2)); | |
| /// assert_eq!(heap.as_slice(), [1]); | |
| /// assert_eq!(heap.pop_if(pred), None); | |
| /// assert_eq!(heap.as_slice(), [1]); | |
| /// ``` | |
| /// | |
| /// # Time complexity | |
| /// | |
| /// The worst case cost of `pop_if` on a heap containing *n* elements is *O*(log(*n*)). | |
| #[unstable(feature = "binary_heap_pop_if", issue = "151828")] | |
| pub fn pop_if(&mut self, predicate: impl FnOnce(&T) -> bool) -> Option<T> { | |
| let first = self.peek()?; | |
| if predicate(first) { self.pop() } else { None } | |
| } | |
| /// Pushes an item onto the binary heap. | |
| /// | |
| /// # Examples | |
| /// | |
| /// Basic usage: | |
| /// | |
| /// ``` | |
| /// use std::collections::BinaryHeap; | |
| /// let mut heap = BinaryHeap::new(); | |
| /// heap.push(3); | |
| /// heap.push(5); | |
| /// heap.push(1); | |
| /// | |
| /// assert_eq!(heap.len(), 3); | |
| /// assert_eq!(heap.peek(), Some(&5)); | |
| /// ``` | |
| /// | |
| /// # Time complexity | |
| /// | |
| /// The expected cost of `push`, averaged over every possible ordering of | |
| /// the elements being pushed, and over a sufficiently large number of | |
| /// pushes, is *O*(1). This is the most meaningful cost metric when pushing | |
| /// elements that are *not* already in any sorted pattern. | |
| /// | |
| /// The time complexity degrades if elements are pushed in predominantly | |
| /// ascending order. In the worst case, elements are pushed in ascending | |
| /// sorted order and the amortized cost per push is *O*(log(*n*)) against a heap | |
| /// containing *n* elements. | |
| /// | |
| /// The worst case cost of a *single* call to `push` is *O*(*n*). The worst case | |
| /// occurs when capacity is exhausted and needs a resize. The resize cost | |
| /// has been amortized in the previous figures. | |
| #[stable(feature = "rust1", since = "1.0.0")] | |
| #[rustc_confusables("append", "put")] | |
| pub fn push(&mut self, item: T) { | |
| let old_len = self.len(); | |
| self.data.push(item); | |
| // SAFETY: Since we pushed a new item it means that | |
| // old_len = self.len() - 1 < self.len() | |
| unsafe { self.sift_up(0, old_len) }; | |
| } | |
| /// Consumes the `BinaryHeap` and returns a vector in sorted | |
| /// (ascending) order. | |
| /// | |
| /// # Examples | |
| /// | |
| /// Basic usage: | |
| /// | |
| /// ``` | |
| /// use std::collections::BinaryHeap; | |
| /// | |
| /// let mut heap = BinaryHeap::from([1, 2, 4, 5, 7]); | |
| /// heap.push(6); | |
| /// heap.push(3); | |
| /// | |
| /// let vec = heap.into_sorted_vec(); | |
| /// assert_eq!(vec, [1, 2, 3, 4, 5, 6, 7]); | |
| /// ``` | |
| #[must_use = "`self` will be dropped if the result is not used"] | |
| #[stable(feature = "binary_heap_extras_15", since = "1.5.0")] | |
| pub fn into_sorted_vec(mut self) -> Vec<T, A> { | |
| let mut end = self.len(); | |
| while end > 1 { | |
| end -= 1; | |
| // SAFETY: `end` goes from `self.len() - 1` to 1 (both included), | |
| // so it's always a valid index to access. | |
| // It is safe to access index 0 (i.e. `ptr`), because | |
| // 1 <= end < self.len(), which means self.len() >= 2. | |
| unsafe { | |
| let ptr = self.data.as_mut_ptr(); | |
| ptr::swap(ptr, ptr.add(end)); | |
| } | |
| // SAFETY: `end` goes from `self.len() - 1` to 1 (both included) so: | |
| // 0 < 1 <= end <= self.len() - 1 < self.len() | |
| // Which means 0 < end and end < self.len(). | |
| unsafe { self.sift_down_range(0, end) }; | |
| } | |
| self.into_vec() | |
| } | |
| // The implementations of sift_up and sift_down use unsafe blocks in | |
| // order to move an element out of the vector (leaving behind a | |
| // hole), shift along the others and move the removed element back into the | |
| // vector at the final location of the hole. | |
| // The `Hole` type is used to represent this, and make sure | |
| // the hole is filled back at the end of its scope, even on panic. | |
| // Using a hole reduces the constant factor compared to using swaps, | |
| // which involves twice as many moves. | |
| /// # Safety | |
| /// | |
| /// The caller must guarantee that `pos < self.len()`. | |
| /// | |
| /// Returns the new position of the element. | |
| unsafe fn sift_up(&mut self, start: usize, pos: usize) -> usize { | |
| // Take out the value at `pos` and create a hole. | |
| // SAFETY: The caller guarantees that pos < self.len() | |
| let mut hole = unsafe { Hole::new(&mut self.data, pos) }; | |
| while hole.pos() > start { | |
| let parent = (hole.pos() - 1) / 2; | |
| // SAFETY: hole.pos() > start >= 0, which means hole.pos() > 0 | |
| // and so hole.pos() - 1 can't underflow. | |
| // This guarantees that parent < hole.pos() so | |
| // it's a valid index and also != hole.pos(). | |
| if hole.element() <= unsafe { hole.get(parent) } { | |
| break; | |
| } | |
| // SAFETY: Same as above | |
| unsafe { hole.move_to(parent) }; | |
| } | |
| hole.pos() | |
| } | |
| /// Take an element at `pos` and move it down the heap, | |
| /// while its children are larger. | |
| /// | |
| /// Returns the new position of the element. | |
| /// | |
| /// # Safety | |
| /// | |
| /// The caller must guarantee that `pos < end <= self.len()`. | |
| unsafe fn sift_down_range(&mut self, pos: usize, end: usize) -> usize { | |
| // SAFETY: The caller guarantees that pos < end <= self.len(). | |
| let mut hole = unsafe { Hole::new(&mut self.data, pos) }; | |
| let mut child = 2 * hole.pos() + 1; | |
| // Loop invariant: child == 2 * hole.pos() + 1. | |
| while child <= end.saturating_sub(2) { | |
| // compare with the greater of the two children | |
| // SAFETY: child < end - 1 < self.len() and | |
| // child + 1 < end <= self.len(), so they're valid indexes. | |
| // child == 2 * hole.pos() + 1 != hole.pos() and | |
| // child + 1 == 2 * hole.pos() + 2 != hole.pos(). | |
| // FIXME: 2 * hole.pos() + 1 or 2 * hole.pos() + 2 could overflow | |
| // if T is a ZST | |
| child += unsafe { hole.get(child) <= hole.get(child + 1) } as usize; | |
| // if we are already in order, stop. | |
| // SAFETY: child is now either the old child or the old child+1 | |
| // We already proven that both are < self.len() and != hole.pos() | |
| if hole.element() >= unsafe { hole.get(child) } { | |
| return hole.pos(); | |
| } | |
| // SAFETY: same as above. | |
| unsafe { hole.move_to(child) }; | |
| child = 2 * hole.pos() + 1; | |
| } | |
| // SAFETY: && short circuit, which means that in the | |
| // second condition it's already true that child == end - 1 < self.len(). | |
| if child == end - 1 && hole.element() < unsafe { hole.get(child) } { | |
| // SAFETY: child is already proven to be a valid index and | |
| // child == 2 * hole.pos() + 1 != hole.pos(). | |
| unsafe { hole.move_to(child) }; | |
| } | |
| hole.pos() | |
| } | |
| /// # Safety | |
| /// | |
| /// The caller must guarantee that `pos < self.len()`. | |
| unsafe fn sift_down(&mut self, pos: usize) -> usize { | |
| let len = self.len(); | |
| // SAFETY: pos < len is guaranteed by the caller and | |
| // obviously len = self.len() <= self.len(). | |
| unsafe { self.sift_down_range(pos, len) } | |
| } | |
| /// Take an element at `pos` and move it all the way down the heap, | |
| /// then sift it up to its position. | |
| /// | |
| /// Note: This is faster when the element is known to be large / should | |
| /// be closer to the bottom. | |
| /// | |
| /// # Safety | |
| /// | |
| /// The caller must guarantee that `pos < self.len()`. | |
| unsafe fn sift_down_to_bottom(&mut self, mut pos: usize) { | |
| let end = self.len(); | |
| let start = pos; | |
| // SAFETY: The caller guarantees that pos < self.len(). | |
| let mut hole = unsafe { Hole::new(&mut self.data, pos) }; | |
| let mut child = 2 * hole.pos() + 1; | |
| // Loop invariant: child == 2 * hole.pos() + 1. | |
| while child <= end.saturating_sub(2) { | |
| // SAFETY: child < end - 1 < self.len() and | |
| // child + 1 < end <= self.len(), so they're valid indexes. | |
| // child == 2 * hole.pos() + 1 != hole.pos() and | |
| // child + 1 == 2 * hole.pos() + 2 != hole.pos(). | |
| // FIXME: 2 * hole.pos() + 1 or 2 * hole.pos() + 2 could overflow | |
| // if T is a ZST | |
| child += unsafe { hole.get(child) <= hole.get(child + 1) } as usize; | |
| // SAFETY: Same as above | |
| unsafe { hole.move_to(child) }; | |
| child = 2 * hole.pos() + 1; | |
| } | |
| if child == end - 1 { | |
| // SAFETY: child == end - 1 < self.len(), so it's a valid index | |
| // and child == 2 * hole.pos() + 1 != hole.pos(). | |
| unsafe { hole.move_to(child) }; | |
| } | |
| pos = hole.pos(); | |
| drop(hole); | |
| // SAFETY: pos is the position in the hole and was already proven | |
| // to be a valid index. | |
| unsafe { self.sift_up(start, pos) }; | |
| } | |
| /// Rebuild assuming data[0..start] is still a proper heap. | |
| fn rebuild_tail(&mut self, start: usize) { | |
| if start == self.len() { | |
| return; | |
| } | |
| let tail_len = self.len() - start; | |
| #[inline(always)] | |
| fn log2_fast(x: usize) -> usize { | |
| (usize::BITS - x.leading_zeros() - 1) as usize | |
| } | |
| // `rebuild` takes O(self.len()) operations | |
| // and about 2 * self.len() comparisons in the worst case | |
| // while repeating `sift_up` takes O(tail_len * log(start)) operations | |
| // and about 1 * tail_len * log_2(start) comparisons in the worst case, | |
| // assuming start >= tail_len. For larger heaps, the crossover point | |
| // no longer follows this reasoning and was determined empirically. | |
| let better_to_rebuild = if start < tail_len { | |
| true | |
| } else if self.len() <= 2048 { | |
| 2 * self.len() < tail_len * log2_fast(start) | |
| } else { | |
| 2 * self.len() < tail_len * 11 | |
| }; | |
| if better_to_rebuild { | |
| self.rebuild(); | |
| } else { | |
| for i in start..self.len() { | |
| // SAFETY: The index `i` is always less than self.len(). | |
| unsafe { self.sift_up(0, i) }; | |
| } | |
| } | |
| } | |
| fn rebuild(&mut self) { | |
| let mut n = self.len() / 2; | |
| while n > 0 { | |
| n -= 1; | |
| // SAFETY: n starts from self.len() / 2 and goes down to 0. | |
| // The only case when !(n < self.len()) is if | |
| // self.len() == 0, but it's ruled out by the loop condition. | |
| unsafe { self.sift_down(n) }; | |
| } | |
| } | |
| /// Moves all the elements of `other` into `self`, leaving `other` empty. | |
| /// | |
| /// # Examples | |
| /// | |
| /// Basic usage: | |
| /// | |
| /// ``` | |
| /// use std::collections::BinaryHeap; | |
| /// | |
| /// let mut a = BinaryHeap::from([-10, 1, 2, 3, 3]); | |
| /// let mut b = BinaryHeap::from([-20, 5, 43]); | |
| /// | |
| /// a.append(&mut b); | |
| /// | |
| /// assert_eq!(a.into_sorted_vec(), [-20, -10, 1, 2, 3, 3, 5, 43]); | |
| /// assert!(b.is_empty()); | |
| /// ``` | |
| #[stable(feature = "binary_heap_append", since = "1.11.0")] | |
| pub fn append(&mut self, other: &mut Self) { | |
| if self.len() < other.len() { | |
| swap(self, other); | |
| } | |
| let start = self.data.len(); | |
| self.data.append(&mut other.data); | |
| self.rebuild_tail(start); | |
| } | |
| /// Clears the binary heap, returning an iterator over the removed elements | |
| /// in heap order. If the iterator is dropped before being fully consumed, | |
| /// it drops the remaining elements in heap order. | |
| /// | |
| /// The returned iterator keeps a mutable borrow on the heap to optimize | |
| /// its implementation. | |
| /// | |
| /// Note: | |
| /// * `.drain_sorted()` is *O*(*n* \* log(*n*)); much slower than `.drain()`. | |
| /// You should use the latter for most cases. | |
| /// | |
| /// # Examples | |
| /// | |
| /// Basic usage: | |
| /// | |
| /// ``` | |
| /// #![feature(binary_heap_drain_sorted)] | |
| /// use std::collections::BinaryHeap; | |
| /// | |
| /// let mut heap = BinaryHeap::from([1, 2, 3, 4, 5]); | |
| /// assert_eq!(heap.len(), 5); | |
| /// | |
| /// drop(heap.drain_sorted()); // removes all elements in heap order | |
| /// assert_eq!(heap.len(), 0); | |
| /// ``` | |
| #[inline] | |
| #[unstable(feature = "binary_heap_drain_sorted", issue = "59278")] | |
| pub fn drain_sorted(&mut self) -> DrainSorted<'_, T, A> { | |
| DrainSorted { inner: self } | |
| } | |
| /// Retains only the elements specified by the predicate. | |
| /// | |
| /// In other words, remove all elements `e` for which `f(&e)` returns | |
| /// `false`. The elements are visited in unsorted (and unspecified) order. | |
| /// | |
| /// # Examples | |
| /// | |
| /// Basic usage: | |
| /// | |
| /// ``` | |
| /// use std::collections::BinaryHeap; | |
| /// | |
| /// let mut heap = BinaryHeap::from([-10, -5, 1, 2, 4, 13]); | |
| /// | |
| /// heap.retain(|x| x % 2 == 0); // only keep even numbers | |
| /// | |
| /// assert_eq!(heap.into_sorted_vec(), [-10, 2, 4]) | |
| /// ``` | |
| #[stable(feature = "binary_heap_retain", since = "1.70.0")] | |
| pub fn retain<F>(&mut self, mut f: F) | |
| where | |
| F: FnMut(&T) -> bool, | |
| { | |
| // rebuild_start will be updated to the first touched element below, and the rebuild will | |
| // only be done for the tail. | |
| let mut guard = RebuildOnDrop { rebuild_from: self.len(), heap: self }; | |
| let mut i = 0; | |
| guard.heap.data.retain(|e| { | |
| let keep = f(e); | |
| if !keep && i < guard.rebuild_from { | |
| guard.rebuild_from = i; | |
| } | |
| i += 1; | |
| keep | |
| }); | |
| } | |
| } | |
| impl<T, A: Allocator> BinaryHeap<T, A> { | |
| /// Returns an iterator visiting all values in the underlying vector, in | |
| /// arbitrary order. | |
| /// | |
| /// # Examples | |
| /// | |
| /// Basic usage: | |
| /// | |
| /// ``` | |
| /// use std::collections::BinaryHeap; | |
| /// let heap = BinaryHeap::from([1, 2, 3, 4]); | |
| /// | |
| /// // Print 1, 2, 3, 4 in arbitrary order | |
| /// for x in heap.iter() { | |
| /// println!("{x}"); | |
| /// } | |
| /// ``` | |
| #[stable(feature = "rust1", since = "1.0.0")] | |
| #[cfg_attr(not(test), rustc_diagnostic_item = "binaryheap_iter")] | |
| pub fn iter(&self) -> Iter<'_, T> { | |
| Iter { iter: self.data.iter() } | |
| } | |
| /// Returns an iterator which retrieves elements in heap order. | |
| /// | |
| /// This method consumes the original heap. | |
| /// | |
| /// # Examples | |
| /// | |
| /// Basic usage: | |
| /// | |
| /// ``` | |
| /// #![feature(binary_heap_into_iter_sorted)] | |
| /// use std::collections::BinaryHeap; | |
| /// let heap = BinaryHeap::from([1, 2, 3, 4, 5]); | |
| /// | |
| /// assert_eq!(heap.into_iter_sorted().take(2).collect::<Vec<_>>(), [5, 4]); | |
| /// ``` | |
| #[unstable(feature = "binary_heap_into_iter_sorted", issue = "59278")] | |
| pub fn into_iter_sorted(self) -> IntoIterSorted<T, A> { | |
| IntoIterSorted { inner: self } | |
| } | |
| /// Returns the greatest item in the binary heap, or `None` if it is empty. | |
| /// | |
| /// # Examples | |
| /// | |
| /// Basic usage: | |
| /// | |
| /// ``` | |
| /// use std::collections::BinaryHeap; | |
| /// let mut heap = BinaryHeap::new(); | |
| /// assert_eq!(heap.peek(), None); | |
| /// | |
| /// heap.push(1); | |
| /// heap.push(5); | |
| /// heap.push(2); | |
| /// assert_eq!(heap.peek(), Some(&5)); | |
| /// | |
| /// ``` | |
| /// | |
| /// # Time complexity | |
| /// | |
| /// Cost is *O*(1) in the worst case. | |
| #[must_use] | |
| #[stable(feature = "rust1", since = "1.0.0")] | |
| pub fn peek(&self) -> Option<&T> { | |
| self.data.get(0) | |
| } | |
| /// Returns the number of elements the binary heap can hold without reallocating. | |
| /// | |
| /// # Examples | |
| /// | |
| /// Basic usage: | |
| /// | |
| /// ``` | |
| /// use std::collections::BinaryHeap; | |
| /// let mut heap = BinaryHeap::with_capacity(100); | |
| /// assert!(heap.capacity() >= 100); | |
| /// heap.push(4); | |
| /// ``` | |
| #[must_use] | |
| #[stable(feature = "rust1", since = "1.0.0")] | |
| pub fn capacity(&self) -> usize { | |
| self.data.capacity() | |
| } | |
| /// Reserves the minimum capacity for at least `additional` elements more than | |
| /// the current length. Unlike [`reserve`], this will not | |
| /// deliberately over-allocate to speculatively avoid frequent allocations. | |
| /// After calling `reserve_exact`, capacity will be greater than or equal to | |
| /// `self.len() + additional`. Does nothing if the capacity is already | |
| /// sufficient. | |
| /// | |
| /// [`reserve`]: BinaryHeap::reserve | |
| /// | |
| /// # Panics | |
| /// | |
| /// Panics if the new capacity overflows [`usize`]. | |
| /// | |
| /// # Examples | |
| /// | |
| /// Basic usage: | |
| /// | |
| /// ``` | |
| /// use std::collections::BinaryHeap; | |
| /// let mut heap = BinaryHeap::new(); | |
| /// heap.reserve_exact(100); | |
| /// assert!(heap.capacity() >= 100); | |
| /// heap.push(4); | |
| /// ``` | |
| /// | |
| /// [`reserve`]: BinaryHeap::reserve | |
| #[stable(feature = "rust1", since = "1.0.0")] | |
| pub fn reserve_exact(&mut self, additional: usize) { | |
| self.data.reserve_exact(additional); | |
| } | |
| /// Reserves capacity for at least `additional` elements more than the | |
| /// current length. The allocator may reserve more space to speculatively | |
| /// avoid frequent allocations. After calling `reserve`, | |
| /// capacity will be greater than or equal to `self.len() + additional`. | |
| /// Does nothing if capacity is already sufficient. | |
| /// | |
| /// # Panics | |
| /// | |
| /// Panics if the new capacity overflows [`usize`]. | |
| /// | |
| /// # Examples | |
| /// | |
| /// Basic usage: | |
| /// | |
| /// ``` | |
| /// use std::collections::BinaryHeap; | |
| /// let mut heap = BinaryHeap::new(); | |
| /// heap.reserve(100); | |
| /// assert!(heap.capacity() >= 100); | |
| /// heap.push(4); | |
| /// ``` | |
| #[stable(feature = "rust1", since = "1.0.0")] | |
| pub fn reserve(&mut self, additional: usize) { | |
| self.data.reserve(additional); | |
| } | |
| /// Tries to reserve the minimum capacity for at least `additional` elements | |
| /// more than the current length. Unlike [`try_reserve`], this will not | |
| /// deliberately over-allocate to speculatively avoid frequent allocations. | |
| /// After calling `try_reserve_exact`, capacity will be greater than or | |
| /// equal to `self.len() + additional` if it returns `Ok(())`. | |
| /// Does nothing if the capacity is already sufficient. | |
| /// | |
| /// Note that the allocator may give the collection more space than it | |
| /// requests. Therefore, capacity can not be relied upon to be precisely | |
| /// minimal. Prefer [`try_reserve`] if future insertions are expected. | |
| /// | |
| /// [`try_reserve`]: BinaryHeap::try_reserve | |
| /// | |
| /// # Errors | |
| /// | |
| /// If the capacity overflows, or the allocator reports a failure, then an error | |
| /// is returned. | |
| /// | |
| /// # Examples | |
| /// | |
| /// ``` | |
| /// use std::collections::BinaryHeap; | |
| /// use std::collections::TryReserveError; | |
| /// | |
| /// fn find_max_slow(data: &[u32]) -> Result<Option<u32>, TryReserveError> { | |
| /// let mut heap = BinaryHeap::new(); | |
| /// | |
| /// // Pre-reserve the memory, exiting if we can't | |
| /// heap.try_reserve_exact(data.len())?; | |
| /// | |
| /// // Now we know this can't OOM in the middle of our complex work | |
| /// heap.extend(data.iter()); | |
| /// | |
| /// Ok(heap.pop()) | |
| /// } | |
| /// # find_max_slow(&[1, 2, 3]).expect("reserving capacity for 12 bytes should never fail"); | |
| /// ``` | |
| #[stable(feature = "try_reserve_2", since = "1.63.0")] | |
| pub fn try_reserve_exact(&mut self, additional: usize) -> Result<(), TryReserveError> { | |
| self.data.try_reserve_exact(additional) | |
| } | |
| /// Tries to reserve capacity for at least `additional` elements more than the | |
| /// current length. The allocator may reserve more space to speculatively | |
| /// avoid frequent allocations. After calling `try_reserve`, capacity will be | |
| /// greater than or equal to `self.len() + additional` if it returns | |
| /// `Ok(())`. Does nothing if capacity is already sufficient. This method | |
| /// preserves the contents even if an error occurs. | |
| /// | |
| /// # Errors | |
| /// | |
| /// If the capacity overflows, or the allocator reports a failure, then an error | |
| /// is returned. | |
| /// | |
| /// # Examples | |
| /// | |
| /// ``` | |
| /// use std::collections::BinaryHeap; | |
| /// use std::collections::TryReserveError; | |
| /// | |
| /// fn find_max_slow(data: &[u32]) -> Result<Option<u32>, TryReserveError> { | |
| /// let mut heap = BinaryHeap::new(); | |
| /// | |
| /// // Pre-reserve the memory, exiting if we can't | |
| /// heap.try_reserve(data.len())?; | |
| /// | |
| /// // Now we know this can't OOM in the middle of our complex work | |
| /// heap.extend(data.iter()); | |
| /// | |
| /// Ok(heap.pop()) | |
| /// } | |
| /// # find_max_slow(&[1, 2, 3]).expect("reserving capacity for 12 bytes should never fail"); | |
| /// ``` | |
| #[stable(feature = "try_reserve_2", since = "1.63.0")] | |
| pub fn try_reserve(&mut self, additional: usize) -> Result<(), TryReserveError> { | |
| self.data.try_reserve(additional) | |
| } | |
| /// Discards as much additional capacity as possible. | |
| /// | |
| /// # Examples | |
| /// | |
| /// Basic usage: | |
| /// | |
| /// ``` | |
| /// use std::collections::BinaryHeap; | |
| /// let mut heap: BinaryHeap<i32> = BinaryHeap::with_capacity(100); | |
| /// | |
| /// assert!(heap.capacity() >= 100); | |
| /// heap.shrink_to_fit(); | |
| /// assert!(heap.capacity() == 0); | |
| /// ``` | |
| #[stable(feature = "rust1", since = "1.0.0")] | |
| pub fn shrink_to_fit(&mut self) { | |
| self.data.shrink_to_fit(); | |
| } | |
| /// Discards capacity with a lower bound. | |
| /// | |
| /// The capacity will remain at least as large as both the length | |
| /// and the supplied value. | |
| /// | |
| /// If the current capacity is less than the lower limit, this is a no-op. | |
| /// | |
| /// # Examples | |
| /// | |
| /// ``` | |
| /// use std::collections::BinaryHeap; | |
| /// let mut heap: BinaryHeap<i32> = BinaryHeap::with_capacity(100); | |
| /// | |
| /// assert!(heap.capacity() >= 100); | |
| /// heap.shrink_to(10); | |
| /// assert!(heap.capacity() >= 10); | |
| /// ``` | |
| #[inline] | |
| #[stable(feature = "shrink_to", since = "1.56.0")] | |
| pub fn shrink_to(&mut self, min_capacity: usize) { | |
| self.data.shrink_to(min_capacity) | |
| } | |
| /// Returns a slice of all values in the underlying vector, in arbitrary | |
| /// order. | |
| /// | |
| /// # Examples | |
| /// | |
| /// Basic usage: | |
| /// | |
| /// ``` | |
| /// use std::collections::BinaryHeap; | |
| /// use std::io::{self, Write}; | |
| /// | |
| /// let heap = BinaryHeap::from([1, 2, 3, 4, 5, 6, 7]); | |
| /// | |
| /// io::sink().write(heap.as_slice()).unwrap(); | |
| /// ``` | |
| #[must_use] | |
| #[stable(feature = "binary_heap_as_slice", since = "1.80.0")] | |
| pub fn as_slice(&self) -> &[T] { | |
| self.data.as_slice() | |
| } | |
| /// Returns a mutable slice of all values in the underlying vector. | |
| /// | |
| /// # Safety | |
| /// | |
| /// The caller must ensure that the slice remains a max-heap, i.e. for all indices | |
| /// `0 < i < slice.len()`, `slice[(i - 1) / 2] >= slice[i]`, before the borrow ends | |
| /// and the binary heap is used. | |
| /// | |
| /// # Examples | |
| /// | |
| /// Basic usage: | |
| /// | |
| /// ``` | |
| /// #![feature(binary_heap_as_mut_slice)] | |
| /// | |
| /// use std::collections::BinaryHeap; | |
| /// | |
| /// let mut heap = BinaryHeap::<u32>::from([1, 2, 3, 4, 5, 6, 7]); | |
| /// | |
| /// unsafe { | |
| /// for value in heap.as_mut_slice() { | |
| /// *value = (*value).saturating_mul(2); | |
| /// } | |
| /// } | |
| /// ``` | |
| #[must_use] | |
| #[unstable(feature = "binary_heap_as_mut_slice", issue = "154009")] | |
| pub unsafe fn as_mut_slice(&mut self) -> &mut [T] { | |
| self.data.as_mut_slice() | |
| } | |
| /// Consumes the `BinaryHeap` and returns the underlying vector | |
| /// in arbitrary order. | |
| /// | |
| /// # Examples | |
| /// | |
| /// Basic usage: | |
| /// | |
| /// ``` | |
| /// use std::collections::BinaryHeap; | |
| /// let heap = BinaryHeap::from([1, 2, 3, 4, 5, 6, 7]); | |
| /// let vec = heap.into_vec(); | |
| /// | |
| /// // Will print in some order | |
| /// for x in vec { | |
| /// println!("{x}"); | |
| /// } | |
| /// ``` | |
| #[must_use = "`self` will be dropped if the result is not used"] | |
| #[stable(feature = "binary_heap_extras_15", since = "1.5.0")] | |
| pub fn into_vec(self) -> Vec<T, A> { | |
| self.into() | |
| } | |
| /// Returns a reference to the underlying allocator. | |
| #[unstable(feature = "allocator_api", issue = "32838")] | |
| #[inline] | |
| pub fn allocator(&self) -> &A { | |
| self.data.allocator() | |
| } | |
| /// Returns the length of the binary heap. | |
| /// | |
| /// # Examples | |
| /// | |
| /// Basic usage: | |
| /// | |
| /// ``` | |
| /// use std::collections::BinaryHeap; | |
| /// let heap = BinaryHeap::from([1, 3]); | |
| /// | |
| /// assert_eq!(heap.len(), 2); | |
| /// ``` | |
| #[must_use] | |
| #[stable(feature = "rust1", since = "1.0.0")] | |
| #[rustc_confusables("length", "size")] | |
| pub fn len(&self) -> usize { | |
| self.data.len() | |
| } | |
| /// Checks if the binary heap is empty. | |
| /// | |
| /// # Examples | |
| /// | |
| /// Basic usage: | |
| /// | |
| /// ``` | |
| /// use std::collections::BinaryHeap; | |
| /// let mut heap = BinaryHeap::new(); | |
| /// | |
| /// assert!(heap.is_empty()); | |
| /// | |
| /// heap.push(3); | |
| /// heap.push(5); | |
| /// heap.push(1); | |
| /// | |
| /// assert!(!heap.is_empty()); | |
| /// ``` | |
| #[must_use] | |
| #[stable(feature = "rust1", since = "1.0.0")] | |
| pub fn is_empty(&self) -> bool { | |
| self.len() == 0 | |
| } | |
| /// Clears the binary heap, returning an iterator over the removed elements | |
| /// in arbitrary order. If the iterator is dropped before being fully | |
| /// consumed, it drops the remaining elements in arbitrary order. | |
| /// | |
| /// The returned iterator keeps a mutable borrow on the heap to optimize | |
| /// its implementation. | |
| /// | |
| /// # Examples | |
| /// | |
| /// Basic usage: | |
| /// | |
| /// ``` | |
| /// use std::collections::BinaryHeap; | |
| /// let mut heap = BinaryHeap::from([1, 3]); | |
| /// | |
| /// assert!(!heap.is_empty()); | |
| /// | |
| /// for x in heap.drain() { | |
| /// println!("{x}"); | |
| /// } | |
| /// | |
| /// assert!(heap.is_empty()); | |
| /// ``` | |
| #[inline] | |
| #[stable(feature = "drain", since = "1.6.0")] | |
| pub fn drain(&mut self) -> Drain<'_, T, A> { | |
| Drain { iter: self.data.drain(..) } | |
| } | |
| /// Drops all items from the binary heap. | |
| /// | |
| /// # Examples | |
| /// | |
| /// Basic usage: | |
| /// | |
| /// ``` | |
| /// use std::collections::BinaryHeap; | |
| /// let mut heap = BinaryHeap::from([1, 3]); | |
| /// | |
| /// assert!(!heap.is_empty()); | |
| /// | |
| /// heap.clear(); | |
| /// | |
| /// assert!(heap.is_empty()); | |
| /// ``` | |
| #[stable(feature = "rust1", since = "1.0.0")] | |
| pub fn clear(&mut self) { | |
| self.drain(); | |
| } | |
| } | |
| /// Hole represents a hole in a slice i.e., an index without valid value | |
| /// (because it was moved from or duplicated). | |
| /// In drop, `Hole` will restore the slice by filling the hole | |
| /// position with the value that was originally removed. | |
| struct Hole<'a, T: 'a> { | |
| data: &'a mut [T], | |
| elt: ManuallyDrop<T>, | |
| pos: usize, | |
| } | |
| impl<'a, T> Hole<'a, T> { | |
| /// Creates a new `Hole` at index `pos`. | |
| /// | |
| /// Unsafe because pos must be within the data slice. | |
| #[inline] | |
| unsafe fn new(data: &'a mut [T], pos: usize) -> Self { | |
| debug_assert!(pos < data.len()); | |
| // SAFE: pos should be inside the slice | |
| let elt = unsafe { ptr::read(data.get_unchecked(pos)) }; | |
| Hole { data, elt: ManuallyDrop::new(elt), pos } | |
| } | |
| #[inline] | |
| fn pos(&self) -> usize { | |
| self.pos | |
| } | |
| /// Returns a reference to the element removed. | |
| #[inline] | |
| fn element(&self) -> &T { | |
| &self.elt | |
| } | |
| /// Returns a reference to the element at `index`. | |
| /// | |
| /// Unsafe because index must be within the data slice and not equal to pos. | |
| #[inline] | |
| unsafe fn get(&self, index: usize) -> &T { | |
| debug_assert!(index != self.pos); | |
| debug_assert!(index < self.data.len()); | |
| unsafe { self.data.get_unchecked(index) } | |
| } | |
| /// Move hole to new location | |
| /// | |
| /// Unsafe because index must be within the data slice and not equal to pos. | |
| #[inline] | |
| unsafe fn move_to(&mut self, index: usize) { | |
| debug_assert!(index != self.pos); | |
| debug_assert!(index < self.data.len()); | |
| unsafe { | |
| let ptr = self.data.as_mut_ptr(); | |
| let index_ptr: *const _ = ptr.add(index); | |
| let hole_ptr = ptr.add(self.pos); | |
| ptr::copy_nonoverlapping(index_ptr, hole_ptr, 1); | |
| } | |
| self.pos = index; | |
| } | |
| } | |
| impl<T> Drop for Hole<'_, T> { | |
| #[inline] | |
| fn drop(&mut self) { | |
| // fill the hole again | |
| unsafe { | |
| let pos = self.pos; | |
| ptr::copy_nonoverlapping(&*self.elt, self.data.get_unchecked_mut(pos), 1); | |
| } | |
| } | |
| } | |
| /// An iterator over the elements of a `BinaryHeap`. | |
| /// | |
| /// This `struct` is created by [`BinaryHeap::iter()`]. See its | |
| /// documentation for more. | |
| /// | |
| /// [`iter`]: BinaryHeap::iter | |
| #[must_use = "iterators are lazy and do nothing unless consumed"] | |
| #[stable(feature = "rust1", since = "1.0.0")] | |
| pub struct Iter<'a, T: 'a> { | |
| iter: slice::Iter<'a, T>, | |
| } | |
| #[stable(feature = "default_iters_sequel", since = "1.82.0")] | |
| impl<T> Default for Iter<'_, T> { | |
| /// Creates an empty `binary_heap::Iter`. | |
| /// | |
| /// ``` | |
| /// # use std::collections::binary_heap; | |
| /// let iter: binary_heap::Iter<'_, u8> = Default::default(); | |
| /// assert_eq!(iter.len(), 0); | |
| /// ``` | |
| fn default() -> Self { | |
| Iter { iter: Default::default() } | |
| } | |
| } | |
| #[stable(feature = "collection_debug", since = "1.17.0")] | |
| impl<T: fmt::Debug> fmt::Debug for Iter<'_, T> { | |
| fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result { | |
| f.debug_tuple("Iter").field(&self.iter.as_slice()).finish() | |
| } | |
| } | |
| // FIXME(#26925) Remove in favor of `#[derive(Clone)]` | |
| #[stable(feature = "rust1", since = "1.0.0")] | |
| impl<T> Clone for Iter<'_, T> { | |
| fn clone(&self) -> Self { | |
| Iter { iter: self.iter.clone() } | |
| } | |
| } | |
| #[stable(feature = "rust1", since = "1.0.0")] | |
| impl<'a, T> Iterator for Iter<'a, T> { | |
| type Item = &'a T; | |
| #[inline] | |
| fn next(&mut self) -> Option<&'a T> { | |
| self.iter.next() | |
| } | |
| #[inline] | |
| fn size_hint(&self) -> (usize, Option<usize>) { | |
| self.iter.size_hint() | |
| } | |
| #[inline] | |
| fn last(self) -> Option<&'a T> { | |
| self.iter.last() | |
| } | |
| } | |
| #[stable(feature = "rust1", since = "1.0.0")] | |
| impl<'a, T> DoubleEndedIterator for Iter<'a, T> { | |
| #[inline] | |
| fn next_back(&mut self) -> Option<&'a T> { | |
| self.iter.next_back() | |
| } | |
| } | |
| #[stable(feature = "rust1", since = "1.0.0")] | |
| impl<T> ExactSizeIterator for Iter<'_, T> { | |
| fn is_empty(&self) -> bool { | |
| self.iter.is_empty() | |
| } | |
| } | |
| #[stable(feature = "fused", since = "1.26.0")] | |
| impl<T> FusedIterator for Iter<'_, T> {} | |
| /// An owning iterator over the elements of a `BinaryHeap`. | |
| /// | |
| /// This `struct` is created by [`BinaryHeap::into_iter()`] | |
| /// (provided by the [`IntoIterator`] trait). See its documentation for more. | |
| /// | |
| /// [`into_iter`]: BinaryHeap::into_iter | |
| #[stable(feature = "rust1", since = "1.0.0")] | |
| #[derive(Clone)] | |
| pub struct IntoIter< | |
| T, | |
| #[unstable(feature = "allocator_api", issue = "32838")] A: Allocator = Global, | |
| > { | |
| iter: vec::IntoIter<T, A>, | |
| } | |
| impl<T, A: Allocator> IntoIter<T, A> { | |
| /// Returns a reference to the underlying allocator. | |
| #[unstable(feature = "allocator_api", issue = "32838")] | |
| pub fn allocator(&self) -> &A { | |
| self.iter.allocator() | |
| } | |
| } | |
| #[stable(feature = "collection_debug", since = "1.17.0")] | |
| impl<T: fmt::Debug, A: Allocator> fmt::Debug for IntoIter<T, A> { | |
| fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result { | |
| f.debug_tuple("IntoIter").field(&self.iter.as_slice()).finish() | |
| } | |
| } | |
| #[stable(feature = "rust1", since = "1.0.0")] | |
| impl<T, A: Allocator> Iterator for IntoIter<T, A> { | |
| type Item = T; | |
| #[inline] | |
| fn next(&mut self) -> Option<T> { | |
| self.iter.next() | |
| } | |
| #[inline] | |
| fn size_hint(&self) -> (usize, Option<usize>) { | |
| self.iter.size_hint() | |
| } | |
| } | |
| #[stable(feature = "rust1", since = "1.0.0")] | |
| impl<T, A: Allocator> DoubleEndedIterator for IntoIter<T, A> { | |
| #[inline] | |
| fn next_back(&mut self) -> Option<T> { | |
| self.iter.next_back() | |
| } | |
| } | |
| #[stable(feature = "rust1", since = "1.0.0")] | |
| impl<T, A: Allocator> ExactSizeIterator for IntoIter<T, A> { | |
| fn is_empty(&self) -> bool { | |
| self.iter.is_empty() | |
| } | |
| } | |
| #[stable(feature = "fused", since = "1.26.0")] | |
| impl<T, A: Allocator> FusedIterator for IntoIter<T, A> {} | |
| #[doc(hidden)] | |
| #[unstable(issue = "none", feature = "trusted_fused")] | |
| unsafe impl<T, A: Allocator> TrustedFused for IntoIter<T, A> {} | |
| #[stable(feature = "default_iters", since = "1.70.0")] | |
| impl<T> Default for IntoIter<T> { | |
| /// Creates an empty `binary_heap::IntoIter`. | |
| /// | |
| /// ``` | |
| /// # use std::collections::binary_heap; | |
| /// let iter: binary_heap::IntoIter<u8> = Default::default(); | |
| /// assert_eq!(iter.len(), 0); | |
| /// ``` | |
| fn default() -> Self { | |
| IntoIter { iter: Default::default() } | |
| } | |
| } | |
| // In addition to the SAFETY invariants of the following three unsafe traits | |
| // also refer to the vec::in_place_collect module documentation to get an overview | |
| #[unstable(issue = "none", feature = "inplace_iteration")] | |
| #[doc(hidden)] | |
| unsafe impl<T, A: Allocator> SourceIter for IntoIter<T, A> { | |
| type Source = IntoIter<T, A>; | |
| #[inline] | |
| unsafe fn as_inner(&mut self) -> &mut Self::Source { | |
| self | |
| } | |
| } | |
| #[unstable(issue = "none", feature = "inplace_iteration")] | |
| #[doc(hidden)] | |
| unsafe impl<I, A: Allocator> InPlaceIterable for IntoIter<I, A> { | |
| const EXPAND_BY: Option<NonZero<usize>> = NonZero::new(1); | |
| const MERGE_BY: Option<NonZero<usize>> = NonZero::new(1); | |
| } | |
| #[cfg(not(test))] | |
| unsafe impl<I> AsVecIntoIter for IntoIter<I> { | |
| type Item = I; | |
| fn as_into_iter(&mut self) -> &mut vec::IntoIter<Self::Item> { | |
| &mut self.iter | |
| } | |
| } | |
| #[must_use = "iterators are lazy and do nothing unless consumed"] | |
| #[unstable(feature = "binary_heap_into_iter_sorted", issue = "59278")] | |
| #[derive(Clone, Debug)] | |
| pub struct IntoIterSorted< | |
| T, | |
| #[unstable(feature = "allocator_api", issue = "32838")] A: Allocator = Global, | |
| > { | |
| inner: BinaryHeap<T, A>, | |
| } | |
| impl<T, A: Allocator> IntoIterSorted<T, A> { | |
| /// Returns a reference to the underlying allocator. | |
| #[unstable(feature = "allocator_api", issue = "32838")] | |
| pub fn allocator(&self) -> &A { | |
| self.inner.allocator() | |
| } | |
| } | |
| #[unstable(feature = "binary_heap_into_iter_sorted", issue = "59278")] | |
| impl<T: Ord, A: Allocator> Iterator for IntoIterSorted<T, A> { | |
| type Item = T; | |
| #[inline] | |
| fn next(&mut self) -> Option<T> { | |
| self.inner.pop() | |
| } | |
| #[inline] | |
| fn size_hint(&self) -> (usize, Option<usize>) { | |
| let exact = self.inner.len(); | |
| (exact, Some(exact)) | |
| } | |
| } | |
| #[unstable(feature = "binary_heap_into_iter_sorted", issue = "59278")] | |
| impl<T: Ord, A: Allocator> ExactSizeIterator for IntoIterSorted<T, A> {} | |
| #[unstable(feature = "binary_heap_into_iter_sorted", issue = "59278")] | |
| impl<T: Ord, A: Allocator> FusedIterator for IntoIterSorted<T, A> {} | |
| #[unstable(feature = "trusted_len", issue = "37572")] | |
| unsafe impl<T: Ord, A: Allocator> TrustedLen for IntoIterSorted<T, A> {} | |
| /// A draining iterator over the elements of a `BinaryHeap`. | |
| /// | |
| /// This `struct` is created by [`BinaryHeap::drain()`]. See its | |
| /// documentation for more. | |
| /// | |
| /// [`drain`]: BinaryHeap::drain | |
| #[stable(feature = "drain", since = "1.6.0")] | |
| #[derive(Debug)] | |
| pub struct Drain< | |
| 'a, | |
| T: 'a, | |
| #[unstable(feature = "allocator_api", issue = "32838")] A: Allocator = Global, | |
| > { | |
| iter: vec::Drain<'a, T, A>, | |
| } | |
| impl<T, A: Allocator> Drain<'_, T, A> { | |
| /// Returns a reference to the underlying allocator. | |
| #[unstable(feature = "allocator_api", issue = "32838")] | |
| pub fn allocator(&self) -> &A { | |
| self.iter.allocator() | |
| } | |
| } | |
| #[stable(feature = "drain", since = "1.6.0")] | |
| impl<T, A: Allocator> Iterator for Drain<'_, T, A> { | |
| type Item = T; | |
| #[inline] | |
| fn next(&mut self) -> Option<T> { | |
| self.iter.next() | |
| } | |
| #[inline] | |
| fn size_hint(&self) -> (usize, Option<usize>) { | |
| self.iter.size_hint() | |
| } | |
| } | |
| #[stable(feature = "drain", since = "1.6.0")] | |
| impl<T, A: Allocator> DoubleEndedIterator for Drain<'_, T, A> { | |
| #[inline] | |
| fn next_back(&mut self) -> Option<T> { | |
| self.iter.next_back() | |
| } | |
| } | |
| #[stable(feature = "drain", since = "1.6.0")] | |
| impl<T, A: Allocator> ExactSizeIterator for Drain<'_, T, A> { | |
| fn is_empty(&self) -> bool { | |
| self.iter.is_empty() | |
| } | |
| } | |
| #[stable(feature = "fused", since = "1.26.0")] | |
| impl<T, A: Allocator> FusedIterator for Drain<'_, T, A> {} | |
| /// A draining iterator over the elements of a `BinaryHeap`. | |
| /// | |
| /// This `struct` is created by [`BinaryHeap::drain_sorted()`]. See its | |
| /// documentation for more. | |
| /// | |
| /// [`drain_sorted`]: BinaryHeap::drain_sorted | |
| #[unstable(feature = "binary_heap_drain_sorted", issue = "59278")] | |
| #[derive(Debug)] | |
| pub struct DrainSorted< | |
| 'a, | |
| T: Ord, | |
| #[unstable(feature = "allocator_api", issue = "32838")] A: Allocator = Global, | |
| > { | |
| inner: &'a mut BinaryHeap<T, A>, | |
| } | |
| impl<'a, T: Ord, A: Allocator> DrainSorted<'a, T, A> { | |
| /// Returns a reference to the underlying allocator. | |
| #[unstable(feature = "allocator_api", issue = "32838")] | |
| pub fn allocator(&self) -> &A { | |
| self.inner.allocator() | |
| } | |
| } | |
| #[unstable(feature = "binary_heap_drain_sorted", issue = "59278")] | |
| impl<'a, T: Ord, A: Allocator> Drop for DrainSorted<'a, T, A> { | |
| /// Removes heap elements in heap order. | |
| fn drop(&mut self) { | |
| struct DropGuard<'r, 'a, T: Ord, A: Allocator>(&'r mut DrainSorted<'a, T, A>); | |
| impl<'r, 'a, T: Ord, A: Allocator> Drop for DropGuard<'r, 'a, T, A> { | |
| fn drop(&mut self) { | |
| while self.0.inner.pop().is_some() {} | |
| } | |
| } | |
| while let Some(item) = self.inner.pop() { | |
| let guard = DropGuard(self); | |
| drop(item); | |
| mem::forget(guard); | |
| } | |
| } | |
| } | |
| #[unstable(feature = "binary_heap_drain_sorted", issue = "59278")] | |
| impl<T: Ord, A: Allocator> Iterator for DrainSorted<'_, T, A> { | |
| type Item = T; | |
| #[inline] | |
| fn next(&mut self) -> Option<T> { | |
| self.inner.pop() | |
| } | |
| #[inline] | |
| fn size_hint(&self) -> (usize, Option<usize>) { | |
| let exact = self.inner.len(); | |
| (exact, Some(exact)) | |
| } | |
| } | |
| #[unstable(feature = "binary_heap_drain_sorted", issue = "59278")] | |
| impl<T: Ord, A: Allocator> ExactSizeIterator for DrainSorted<'_, T, A> {} | |
| #[unstable(feature = "binary_heap_drain_sorted", issue = "59278")] | |
| impl<T: Ord, A: Allocator> FusedIterator for DrainSorted<'_, T, A> {} | |
| #[unstable(feature = "trusted_len", issue = "37572")] | |
| unsafe impl<T: Ord, A: Allocator> TrustedLen for DrainSorted<'_, T, A> {} | |
| #[stable(feature = "binary_heap_extras_15", since = "1.5.0")] | |
| impl<T: Ord, A: Allocator> From<Vec<T, A>> for BinaryHeap<T, A> { | |
| /// Converts a `Vec<T>` into a `BinaryHeap<T>`. | |
| /// | |
| /// This conversion happens in-place, and has *O*(*n*) time complexity. | |
| fn from(vec: Vec<T, A>) -> BinaryHeap<T, A> { | |
| let mut heap = BinaryHeap { data: vec }; | |
| heap.rebuild(); | |
| heap | |
| } | |
| } | |
| #[stable(feature = "std_collections_from_array", since = "1.56.0")] | |
| impl<T: Ord, const N: usize> From<[T; N]> for BinaryHeap<T> { | |
| /// ``` | |
| /// use std::collections::BinaryHeap; | |
| /// | |
| /// let mut h1 = BinaryHeap::from([1, 4, 2, 3]); | |
| /// let mut h2: BinaryHeap<_> = [1, 4, 2, 3].into(); | |
| /// while let Some((a, b)) = h1.pop().zip(h2.pop()) { | |
| /// assert_eq!(a, b); | |
| /// } | |
| /// ``` | |
| fn from(arr: [T; N]) -> Self { | |
| Self::from_iter(arr) | |
| } | |
| } | |
| #[stable(feature = "binary_heap_extras_15", since = "1.5.0")] | |
| impl<T, A: Allocator> From<BinaryHeap<T, A>> for Vec<T, A> { | |
| /// Converts a `BinaryHeap<T>` into a `Vec<T>`. | |
| /// | |
| /// This conversion requires no data movement or allocation, and has | |
| /// constant time complexity. | |
| fn from(heap: BinaryHeap<T, A>) -> Vec<T, A> { | |
| heap.data | |
| } | |
| } | |
| #[stable(feature = "rust1", since = "1.0.0")] | |
| impl<T: Ord> FromIterator<T> for BinaryHeap<T> { | |
| fn from_iter<I: IntoIterator<Item = T>>(iter: I) -> BinaryHeap<T> { | |
| BinaryHeap::from(iter.into_iter().collect::<Vec<_>>()) | |
| } | |
| } | |
| #[stable(feature = "rust1", since = "1.0.0")] | |
| impl<T, A: Allocator> IntoIterator for BinaryHeap<T, A> { | |
| type Item = T; | |
| type IntoIter = IntoIter<T, A>; | |
| /// Creates a consuming iterator, that is, one that moves each value out of | |
| /// the binary heap in arbitrary order. The binary heap cannot be used | |
| /// after calling this. | |
| /// | |
| /// # Examples | |
| /// | |
| /// Basic usage: | |
| /// | |
| /// ``` | |
| /// use std::collections::BinaryHeap; | |
| /// let heap = BinaryHeap::from([1, 2, 3, 4]); | |
| /// | |
| /// // Print 1, 2, 3, 4 in arbitrary order | |
| /// for x in heap.into_iter() { | |
| /// // x has type i32, not &i32 | |
| /// println!("{x}"); | |
| /// } | |
| /// ``` | |
| fn into_iter(self) -> IntoIter<T, A> { | |
| IntoIter { iter: self.data.into_iter() } | |
| } | |
| } | |
| #[stable(feature = "rust1", since = "1.0.0")] | |
| impl<'a, T, A: Allocator> IntoIterator for &'a BinaryHeap<T, A> { | |
| type Item = &'a T; | |
| type IntoIter = Iter<'a, T>; | |
| fn into_iter(self) -> Iter<'a, T> { | |
| self.iter() | |
| } | |
| } | |
| #[stable(feature = "rust1", since = "1.0.0")] | |
| impl<T: Ord, A: Allocator> Extend<T> for BinaryHeap<T, A> { | |
| #[inline] | |
| fn extend<I: IntoIterator<Item = T>>(&mut self, iter: I) { | |
| let guard = RebuildOnDrop { rebuild_from: self.len(), heap: self }; | |
| guard.heap.data.extend(iter); | |
| } | |
| #[inline] | |
| fn extend_one(&mut self, item: T) { | |
| self.push(item); | |
| } | |
| #[inline] | |
| fn extend_reserve(&mut self, additional: usize) { | |
| self.reserve(additional); | |
| } | |
| } | |
| #[stable(feature = "extend_ref", since = "1.2.0")] | |
| impl<'a, T: 'a + Ord + Copy, A: Allocator> Extend<&'a T> for BinaryHeap<T, A> { | |
| fn extend<I: IntoIterator<Item = &'a T>>(&mut self, iter: I) { | |
| self.extend(iter.into_iter().cloned()); | |
| } | |
| #[inline] | |
| fn extend_one(&mut self, &item: &'a T) { | |
| self.push(item); | |
| } | |
| #[inline] | |
| fn extend_reserve(&mut self, additional: usize) { | |
| self.reserve(additional); | |
| } | |
| } |