1372 lines
40 KiB
Rust
1372 lines
40 KiB
Rust
//! A priority queue implemented with a binary heap.
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//!
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//! Insertion and popping the largest element have `O(log n)` time complexity.
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//! Checking the largest element is `O(1)`. Converting a vector to a binary heap
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//! can be done in-place, and has `O(n)` complexity. A binary heap can also be
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//! converted to a sorted vector in-place, allowing it to be used for an `O(n
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//! log n)` in-place heapsort.
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//!
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//! # Examples
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//!
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//! This is a larger example that implements [Dijkstra's algorithm][dijkstra]
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//! to solve the [shortest path problem][sssp] on a [directed graph][dir_graph].
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//! It shows how to use [`BinaryHeap`] with custom types.
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//!
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//! [dijkstra]: http://en.wikipedia.org/wiki/Dijkstra%27s_algorithm
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//! [sssp]: http://en.wikipedia.org/wiki/Shortest_path_problem
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//! [dir_graph]: http://en.wikipedia.org/wiki/Directed_graph
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//! [`BinaryHeap`]: struct.BinaryHeap.html
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//!
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//! ```
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//! use std::cmp::Ordering;
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//! use std::collections::BinaryHeap;
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//! use std::usize;
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//!
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//! #[derive(Copy, Clone, Eq, PartialEq)]
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//! struct State {
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//! cost: usize,
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//! position: usize,
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//! }
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//!
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//! // The priority queue depends on `Ord`.
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//! // Explicitly implement the trait so the queue becomes a min-heap
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//! // instead of a max-heap.
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//! impl Ord for State {
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//! fn cmp(&self, other: &State) -> Ordering {
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//! // Notice that the we flip the ordering on costs.
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//! // In case of a tie we compare positions - this step is necessary
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//! // to make implementations of `PartialEq` and `Ord` consistent.
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//! other.cost.cmp(&self.cost)
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//! .then_with(|| self.position.cmp(&other.position))
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//! }
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//! }
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//!
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//! // `PartialOrd` needs to be implemented as well.
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//! impl PartialOrd for State {
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//! fn partial_cmp(&self, other: &State) -> Option<Ordering> {
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//! Some(self.cmp(other))
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//! }
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//! }
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//!
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//! // Each node is represented as an `usize`, for a shorter implementation.
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//! struct Edge {
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//! node: usize,
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//! cost: usize,
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//! }
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//!
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//! // Dijkstra's shortest path algorithm.
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//!
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//! // Start at `start` and use `dist` to track the current shortest distance
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//! // to each node. This implementation isn't memory-efficient as it may leave duplicate
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//! // nodes in the queue. It also uses `usize::MAX` as a sentinel value,
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//! // for a simpler implementation.
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//! fn shortest_path(adj_list: &Vec<Vec<Edge>>, start: usize, goal: usize) -> Option<usize> {
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//! // dist[node] = current shortest distance from `start` to `node`
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//! let mut dist: Vec<_> = (0..adj_list.len()).map(|_| usize::MAX).collect();
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//!
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//! let mut heap = BinaryHeap::new();
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//!
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//! // We're at `start`, with a zero cost
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//! dist[start] = 0;
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//! heap.push(State { cost: 0, position: start });
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//!
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//! // Examine the frontier with lower cost nodes first (min-heap)
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//! while let Some(State { cost, position }) = heap.pop() {
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//! // Alternatively we could have continued to find all shortest paths
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//! if position == goal { return Some(cost); }
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//!
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//! // Important as we may have already found a better way
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//! if cost > dist[position] { continue; }
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//!
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//! // For each node we can reach, see if we can find a way with
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//! // a lower cost going through this node
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//! for edge in &adj_list[position] {
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//! let next = State { cost: cost + edge.cost, position: edge.node };
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//!
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//! // If so, add it to the frontier and continue
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//! if next.cost < dist[next.position] {
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//! heap.push(next);
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//! // Relaxation, we have now found a better way
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//! dist[next.position] = next.cost;
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//! }
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//! }
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//! }
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//!
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//! // Goal not reachable
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//! None
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//! }
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//!
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//! fn main() {
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//! // This is the directed graph we're going to use.
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//! // The node numbers correspond to the different states,
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//! // and the edge weights symbolize the cost of moving
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//! // from one node to another.
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//! // Note that the edges are one-way.
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//! //
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//! // 7
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//! // +-----------------+
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//! // | |
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//! // v 1 2 | 2
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//! // 0 -----> 1 -----> 3 ---> 4
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//! // | ^ ^ ^
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//! // | | 1 | |
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//! // | | | 3 | 1
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//! // +------> 2 -------+ |
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//! // 10 | |
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//! // +---------------+
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//! //
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//! // The graph is represented as an adjacency list where each index,
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//! // corresponding to a node value, has a list of outgoing edges.
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//! // Chosen for its efficiency.
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//! let graph = vec![
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//! // Node 0
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//! vec![Edge { node: 2, cost: 10 },
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//! Edge { node: 1, cost: 1 }],
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//! // Node 1
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//! vec![Edge { node: 3, cost: 2 }],
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//! // Node 2
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//! vec![Edge { node: 1, cost: 1 },
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//! Edge { node: 3, cost: 3 },
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//! Edge { node: 4, cost: 1 }],
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//! // Node 3
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//! vec![Edge { node: 0, cost: 7 },
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//! Edge { node: 4, cost: 2 }],
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//! // Node 4
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//! vec![]];
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//!
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//! assert_eq!(shortest_path(&graph, 0, 1), Some(1));
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//! assert_eq!(shortest_path(&graph, 0, 3), Some(3));
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//! assert_eq!(shortest_path(&graph, 3, 0), Some(7));
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//! assert_eq!(shortest_path(&graph, 0, 4), Some(5));
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//! assert_eq!(shortest_path(&graph, 4, 0), None);
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//! }
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//! ```
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#![allow(missing_docs)]
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#![stable(feature = "rust1", since = "1.0.0")]
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use core::fmt;
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use core::iter::{FromIterator, FusedIterator, TrustedLen};
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use core::mem::{size_of, swap, ManuallyDrop};
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use core::ops::{Deref, DerefMut};
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use core::ptr;
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use crate::slice;
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use crate::vec::{self, Vec};
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use super::SpecExtend;
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/// A priority queue implemented with a binary heap.
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///
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/// This will be a max-heap.
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///
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/// It is a logic error for an item to be modified in such a way that the
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/// item's ordering relative to any other item, as determined by the `Ord`
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/// trait, changes while it is in the heap. This is normally only possible
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/// through `Cell`, `RefCell`, global state, I/O, or unsafe code.
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///
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/// # Examples
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///
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/// ```
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/// use std::collections::BinaryHeap;
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///
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/// // Type inference lets us omit an explicit type signature (which
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/// // would be `BinaryHeap<i32>` in this example).
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/// let mut heap = BinaryHeap::new();
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///
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/// // We can use peek to look at the next item in the heap. In this case,
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/// // there's no items in there yet so we get None.
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/// assert_eq!(heap.peek(), None);
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///
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/// // Let's add some scores...
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/// heap.push(1);
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/// heap.push(5);
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/// heap.push(2);
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///
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/// // Now peek shows the most important item in the heap.
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/// assert_eq!(heap.peek(), Some(&5));
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///
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/// // We can check the length of a heap.
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/// assert_eq!(heap.len(), 3);
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///
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/// // We can iterate over the items in the heap, although they are returned in
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/// // a random order.
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/// for x in &heap {
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/// println!("{}", x);
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/// }
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///
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/// // If we instead pop these scores, they should come back in order.
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/// assert_eq!(heap.pop(), Some(5));
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/// assert_eq!(heap.pop(), Some(2));
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/// assert_eq!(heap.pop(), Some(1));
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/// assert_eq!(heap.pop(), None);
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///
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/// // We can clear the heap of any remaining items.
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/// heap.clear();
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///
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/// // The heap should now be empty.
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/// assert!(heap.is_empty())
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/// ```
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///
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/// ## Min-heap
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///
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/// Either `std::cmp::Reverse` or a custom `Ord` implementation can be used to
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/// make `BinaryHeap` a min-heap. This makes `heap.pop()` return the smallest
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/// value instead of the greatest one.
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///
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/// ```
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/// use std::collections::BinaryHeap;
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/// use std::cmp::Reverse;
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///
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/// let mut heap = BinaryHeap::new();
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///
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/// // Wrap values in `Reverse`
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/// heap.push(Reverse(1));
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/// heap.push(Reverse(5));
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/// heap.push(Reverse(2));
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///
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/// // If we pop these scores now, they should come back in the reverse order.
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/// assert_eq!(heap.pop(), Some(Reverse(1)));
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/// assert_eq!(heap.pop(), Some(Reverse(2)));
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/// assert_eq!(heap.pop(), Some(Reverse(5)));
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/// assert_eq!(heap.pop(), None);
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/// ```
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///
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/// # Time complexity
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///
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/// | [push] | [pop] | [peek]/[peek\_mut] |
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/// |--------|----------|--------------------|
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/// | O(1)~ | O(log n) | O(1) |
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///
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/// The value for `push` is an expected cost; the method documentation gives a
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/// more detailed analysis.
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///
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/// [push]: #method.push
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/// [pop]: #method.pop
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/// [peek]: #method.peek
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/// [peek\_mut]: #method.peek_mut
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#[stable(feature = "rust1", since = "1.0.0")]
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pub struct BinaryHeap<T> {
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data: Vec<T>,
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}
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/// Structure wrapping a mutable reference to the greatest item on a
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/// `BinaryHeap`.
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///
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/// This `struct` is created by the [`peek_mut`] method on [`BinaryHeap`]. See
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/// its documentation for more.
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///
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/// [`peek_mut`]: struct.BinaryHeap.html#method.peek_mut
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/// [`BinaryHeap`]: struct.BinaryHeap.html
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#[stable(feature = "binary_heap_peek_mut", since = "1.12.0")]
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pub struct PeekMut<'a, T: 'a + Ord> {
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heap: &'a mut BinaryHeap<T>,
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sift: bool,
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}
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#[stable(feature = "collection_debug", since = "1.17.0")]
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impl<T: Ord + fmt::Debug> fmt::Debug for PeekMut<'_, T> {
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fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
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f.debug_tuple("PeekMut").field(&self.heap.data[0]).finish()
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}
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}
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#[stable(feature = "binary_heap_peek_mut", since = "1.12.0")]
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impl<T: Ord> Drop for PeekMut<'_, T> {
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fn drop(&mut self) {
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if self.sift {
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self.heap.sift_down(0);
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}
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}
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}
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#[stable(feature = "binary_heap_peek_mut", since = "1.12.0")]
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impl<T: Ord> Deref for PeekMut<'_, T> {
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type Target = T;
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fn deref(&self) -> &T {
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debug_assert!(!self.heap.is_empty());
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// SAFE: PeekMut is only instantiated for non-empty heaps
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unsafe { self.heap.data.get_unchecked(0) }
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}
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}
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#[stable(feature = "binary_heap_peek_mut", since = "1.12.0")]
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impl<T: Ord> DerefMut for PeekMut<'_, T> {
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fn deref_mut(&mut self) -> &mut T {
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debug_assert!(!self.heap.is_empty());
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// SAFE: PeekMut is only instantiated for non-empty heaps
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unsafe { self.heap.data.get_unchecked_mut(0) }
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}
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}
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impl<'a, T: Ord> PeekMut<'a, T> {
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/// Removes the peeked value from the heap and returns it.
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#[stable(feature = "binary_heap_peek_mut_pop", since = "1.18.0")]
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pub fn pop(mut this: PeekMut<'a, T>) -> T {
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let value = this.heap.pop().unwrap();
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this.sift = false;
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value
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}
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}
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#[stable(feature = "rust1", since = "1.0.0")]
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impl<T: Clone> Clone for BinaryHeap<T> {
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fn clone(&self) -> Self {
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BinaryHeap { data: self.data.clone() }
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}
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fn clone_from(&mut self, source: &Self) {
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self.data.clone_from(&source.data);
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}
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}
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#[stable(feature = "rust1", since = "1.0.0")]
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impl<T: Ord> Default for BinaryHeap<T> {
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/// Creates an empty `BinaryHeap<T>`.
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#[inline]
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fn default() -> BinaryHeap<T> {
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BinaryHeap::new()
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}
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}
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#[stable(feature = "binaryheap_debug", since = "1.4.0")]
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impl<T: fmt::Debug> fmt::Debug for BinaryHeap<T> {
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fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
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f.debug_list().entries(self.iter()).finish()
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}
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}
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impl<T: Ord> BinaryHeap<T> {
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/// Creates an empty `BinaryHeap` as a max-heap.
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///
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/// # Examples
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///
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/// Basic usage:
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///
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/// ```
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/// use std::collections::BinaryHeap;
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/// let mut heap = BinaryHeap::new();
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/// heap.push(4);
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/// ```
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#[stable(feature = "rust1", since = "1.0.0")]
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pub fn new() -> BinaryHeap<T> {
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BinaryHeap { data: vec![] }
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}
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/// Creates an empty `BinaryHeap` with a specific capacity.
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/// This preallocates enough memory for `capacity` elements,
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/// so that the `BinaryHeap` does not have to be reallocated
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/// until it contains at least that many values.
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///
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/// # Examples
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///
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/// Basic usage:
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///
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/// ```
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/// use std::collections::BinaryHeap;
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/// let mut heap = BinaryHeap::with_capacity(10);
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/// heap.push(4);
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/// ```
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#[stable(feature = "rust1", since = "1.0.0")]
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pub fn with_capacity(capacity: usize) -> BinaryHeap<T> {
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BinaryHeap { data: Vec::with_capacity(capacity) }
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}
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/// Returns a mutable reference to the greatest item in the binary heap, or
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/// `None` if it is empty.
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///
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/// Note: If the `PeekMut` value is leaked, the heap may be in an
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/// inconsistent state.
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///
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/// # Examples
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///
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/// Basic usage:
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///
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/// ```
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/// use std::collections::BinaryHeap;
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/// let mut heap = BinaryHeap::new();
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/// assert!(heap.peek_mut().is_none());
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///
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/// heap.push(1);
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/// heap.push(5);
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/// heap.push(2);
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/// {
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/// let mut val = heap.peek_mut().unwrap();
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/// *val = 0;
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/// }
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/// assert_eq!(heap.peek(), Some(&2));
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/// ```
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///
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/// # Time complexity
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///
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/// Cost is O(1) in the worst case.
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#[stable(feature = "binary_heap_peek_mut", since = "1.12.0")]
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pub fn peek_mut(&mut self) -> Option<PeekMut<'_, T>> {
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if self.is_empty() { None } else { Some(PeekMut { heap: self, sift: true }) }
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}
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/// Removes the greatest item from the binary heap and returns it, or `None` if it
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/// is empty.
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///
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/// # Examples
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///
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/// Basic usage:
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///
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/// ```
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/// use std::collections::BinaryHeap;
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/// let mut heap = BinaryHeap::from(vec![1, 3]);
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///
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/// assert_eq!(heap.pop(), Some(3));
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/// assert_eq!(heap.pop(), Some(1));
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/// assert_eq!(heap.pop(), None);
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/// ```
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///
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/// # Time complexity
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///
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/// The worst case cost of `pop` on a heap containing *n* elements is O(log
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/// n).
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#[stable(feature = "rust1", since = "1.0.0")]
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pub fn pop(&mut self) -> Option<T> {
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self.data.pop().map(|mut item| {
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if !self.is_empty() {
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swap(&mut item, &mut self.data[0]);
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self.sift_down_to_bottom(0);
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}
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item
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})
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}
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/// Pushes an item onto the binary heap.
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///
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|
/// # Examples
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|
///
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/// Basic usage:
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///
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/// ```
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/// use std::collections::BinaryHeap;
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/// let mut heap = BinaryHeap::new();
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/// heap.push(3);
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/// heap.push(5);
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/// heap.push(1);
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///
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/// assert_eq!(heap.len(), 3);
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/// assert_eq!(heap.peek(), Some(&5));
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/// ```
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///
|
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/// # Time complexity
|
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///
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/// The expected cost of `push`, averaged over every possible ordering of
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/// the elements being pushed, and over a sufficiently large number of
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/// pushes, is O(1). This is the most meaningful cost metric when pushing
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/// elements that are *not* already in any sorted pattern.
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///
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/// The time complexity degrades if elements are pushed in predominantly
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/// ascending order. In the worst case, elements are pushed in ascending
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/// sorted order and the amortized cost per push is O(log n) against a heap
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/// containing *n* elements.
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///
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/// The worst case cost of a *single* call to `push` is O(n). The worst case
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/// occurs when capacity is exhausted and needs a resize. The resize cost
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/// has been amortized in the previous figures.
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#[stable(feature = "rust1", since = "1.0.0")]
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pub fn push(&mut self, item: T) {
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let old_len = self.len();
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self.data.push(item);
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self.sift_up(0, old_len);
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}
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/// Consumes the `BinaryHeap` and returns a vector in sorted
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/// (ascending) order.
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///
|
|
/// # Examples
|
|
///
|
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/// Basic usage:
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///
|
|
/// ```
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|
/// use std::collections::BinaryHeap;
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///
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/// let mut heap = BinaryHeap::from(vec![1, 2, 4, 5, 7]);
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/// heap.push(6);
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/// heap.push(3);
|
|
///
|
|
/// let vec = heap.into_sorted_vec();
|
|
/// assert_eq!(vec, [1, 2, 3, 4, 5, 6, 7]);
|
|
/// ```
|
|
#[stable(feature = "binary_heap_extras_15", since = "1.5.0")]
|
|
pub fn into_sorted_vec(mut self) -> Vec<T> {
|
|
let mut end = self.len();
|
|
while end > 1 {
|
|
end -= 1;
|
|
self.data.swap(0, end);
|
|
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.
|
|
fn sift_up(&mut self, start: usize, pos: usize) -> usize {
|
|
unsafe {
|
|
// Take out the value at `pos` and create a hole.
|
|
let mut hole = Hole::new(&mut self.data, pos);
|
|
|
|
while hole.pos() > start {
|
|
let parent = (hole.pos() - 1) / 2;
|
|
if hole.element() <= hole.get(parent) {
|
|
break;
|
|
}
|
|
hole.move_to(parent);
|
|
}
|
|
hole.pos()
|
|
}
|
|
}
|
|
|
|
/// Take an element at `pos` and move it down the heap,
|
|
/// while its children are larger.
|
|
fn sift_down_range(&mut self, pos: usize, end: usize) {
|
|
unsafe {
|
|
let mut hole = Hole::new(&mut self.data, pos);
|
|
let mut child = 2 * pos + 1;
|
|
while child < end {
|
|
let right = child + 1;
|
|
// compare with the greater of the two children
|
|
if right < end && !(hole.get(child) > hole.get(right)) {
|
|
child = right;
|
|
}
|
|
// if we are already in order, stop.
|
|
if hole.element() >= hole.get(child) {
|
|
break;
|
|
}
|
|
hole.move_to(child);
|
|
child = 2 * hole.pos() + 1;
|
|
}
|
|
}
|
|
}
|
|
|
|
fn sift_down(&mut self, pos: usize) {
|
|
let len = self.len();
|
|
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.
|
|
fn sift_down_to_bottom(&mut self, mut pos: usize) {
|
|
let end = self.len();
|
|
let start = pos;
|
|
unsafe {
|
|
let mut hole = Hole::new(&mut self.data, pos);
|
|
let mut child = 2 * pos + 1;
|
|
while child < end {
|
|
let right = child + 1;
|
|
// compare with the greater of the two children
|
|
if right < end && !(hole.get(child) > hole.get(right)) {
|
|
child = right;
|
|
}
|
|
hole.move_to(child);
|
|
child = 2 * hole.pos() + 1;
|
|
}
|
|
pos = hole.pos;
|
|
}
|
|
self.sift_up(start, pos);
|
|
}
|
|
|
|
fn rebuild(&mut self) {
|
|
let mut n = self.len() / 2;
|
|
while n > 0 {
|
|
n -= 1;
|
|
self.sift_down(n);
|
|
}
|
|
}
|
|
|
|
/// Moves all the elements of `other` into `self`, leaving `other` empty.
|
|
///
|
|
/// # Examples
|
|
///
|
|
/// Basic usage:
|
|
///
|
|
/// ```
|
|
/// use std::collections::BinaryHeap;
|
|
///
|
|
/// let v = vec![-10, 1, 2, 3, 3];
|
|
/// let mut a = BinaryHeap::from(v);
|
|
///
|
|
/// let v = vec![-20, 5, 43];
|
|
/// let mut b = BinaryHeap::from(v);
|
|
///
|
|
/// 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);
|
|
}
|
|
|
|
if other.is_empty() {
|
|
return;
|
|
}
|
|
|
|
#[inline(always)]
|
|
fn log2_fast(x: usize) -> usize {
|
|
8 * size_of::<usize>() - (x.leading_zeros() as usize) - 1
|
|
}
|
|
|
|
// `rebuild` takes O(len1 + len2) operations
|
|
// and about 2 * (len1 + len2) comparisons in the worst case
|
|
// while `extend` takes O(len2 * log_2(len1)) operations
|
|
// and about 1 * len2 * log_2(len1) comparisons in the worst case,
|
|
// assuming len1 >= len2.
|
|
#[inline]
|
|
fn better_to_rebuild(len1: usize, len2: usize) -> bool {
|
|
2 * (len1 + len2) < len2 * log2_fast(len1)
|
|
}
|
|
|
|
if better_to_rebuild(self.len(), other.len()) {
|
|
self.data.append(&mut other.data);
|
|
self.rebuild();
|
|
} else {
|
|
self.extend(other.drain());
|
|
}
|
|
}
|
|
|
|
/// Returns an iterator which retrieves elements in heap order.
|
|
/// The retrieved elements are removed from the original heap.
|
|
/// The remaining elements will be removed on drop in heap order.
|
|
///
|
|
/// Note:
|
|
/// * `.drain_sorted()` is O(n lg 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(vec![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> {
|
|
DrainSorted { inner: self }
|
|
}
|
|
}
|
|
|
|
impl<T> BinaryHeap<T> {
|
|
/// Returns an iterator visiting all values in the underlying vector, in
|
|
/// arbitrary order.
|
|
///
|
|
/// # Examples
|
|
///
|
|
/// Basic usage:
|
|
///
|
|
/// ```
|
|
/// use std::collections::BinaryHeap;
|
|
/// let heap = BinaryHeap::from(vec![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")]
|
|
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(vec![1, 2, 3, 4, 5]);
|
|
///
|
|
/// assert_eq!(heap.into_iter_sorted().take(2).collect::<Vec<_>>(), vec![5, 4]);
|
|
/// ```
|
|
#[unstable(feature = "binary_heap_into_iter_sorted", issue = "59278")]
|
|
pub fn into_iter_sorted(self) -> IntoIterSorted<T> {
|
|
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.
|
|
#[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);
|
|
/// ```
|
|
#[stable(feature = "rust1", since = "1.0.0")]
|
|
pub fn capacity(&self) -> usize {
|
|
self.data.capacity()
|
|
}
|
|
|
|
/// Reserves the minimum capacity for exactly `additional` more elements to be inserted in the
|
|
/// given `BinaryHeap`. 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 [`reserve`] if future
|
|
/// insertions are expected.
|
|
///
|
|
/// # 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`]: #method.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` more elements to be inserted in the
|
|
/// `BinaryHeap`. The collection may reserve more space to avoid frequent reallocations.
|
|
///
|
|
/// # 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);
|
|
}
|
|
|
|
/// 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.
|
|
///
|
|
/// Panics if the current capacity is smaller than the supplied
|
|
/// minimum capacity.
|
|
///
|
|
/// # Examples
|
|
///
|
|
/// ```
|
|
/// #![feature(shrink_to)]
|
|
/// 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]
|
|
#[unstable(feature = "shrink_to", reason = "new API", issue = "56431")]
|
|
pub fn shrink_to(&mut self, min_capacity: usize) {
|
|
self.data.shrink_to(min_capacity)
|
|
}
|
|
|
|
/// Consumes the `BinaryHeap` and returns the underlying vector
|
|
/// in arbitrary order.
|
|
///
|
|
/// # Examples
|
|
///
|
|
/// Basic usage:
|
|
///
|
|
/// ```
|
|
/// use std::collections::BinaryHeap;
|
|
/// let heap = BinaryHeap::from(vec![1, 2, 3, 4, 5, 6, 7]);
|
|
/// let vec = heap.into_vec();
|
|
///
|
|
/// // Will print in some order
|
|
/// for x in vec {
|
|
/// println!("{}", x);
|
|
/// }
|
|
/// ```
|
|
#[stable(feature = "binary_heap_extras_15", since = "1.5.0")]
|
|
pub fn into_vec(self) -> Vec<T> {
|
|
self.into()
|
|
}
|
|
|
|
/// Returns the length of the binary heap.
|
|
///
|
|
/// # Examples
|
|
///
|
|
/// Basic usage:
|
|
///
|
|
/// ```
|
|
/// use std::collections::BinaryHeap;
|
|
/// let heap = BinaryHeap::from(vec![1, 3]);
|
|
///
|
|
/// assert_eq!(heap.len(), 2);
|
|
/// ```
|
|
#[stable(feature = "rust1", since = "1.0.0")]
|
|
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());
|
|
/// ```
|
|
#[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.
|
|
///
|
|
/// The elements are removed in arbitrary order.
|
|
///
|
|
/// # Examples
|
|
///
|
|
/// Basic usage:
|
|
///
|
|
/// ```
|
|
/// use std::collections::BinaryHeap;
|
|
/// let mut heap = BinaryHeap::from(vec![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> {
|
|
Drain { iter: self.data.drain(..) }
|
|
}
|
|
|
|
/// Drops all items from the binary heap.
|
|
///
|
|
/// # Examples
|
|
///
|
|
/// Basic usage:
|
|
///
|
|
/// ```
|
|
/// use std::collections::BinaryHeap;
|
|
/// let mut heap = BinaryHeap::from(vec![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> {
|
|
/// Create 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 = 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());
|
|
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());
|
|
let index_ptr: *const _ = self.data.get_unchecked(index);
|
|
let hole_ptr = self.data.get_unchecked_mut(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 the [`iter`] method on [`BinaryHeap`]. See its
|
|
/// documentation for more.
|
|
///
|
|
/// [`iter`]: struct.BinaryHeap.html#method.iter
|
|
/// [`BinaryHeap`]: struct.BinaryHeap.html
|
|
#[stable(feature = "rust1", since = "1.0.0")]
|
|
pub struct Iter<'a, T: 'a> {
|
|
iter: slice::Iter<'a, T>,
|
|
}
|
|
|
|
#[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 the [`into_iter`] method on [`BinaryHeap`][`BinaryHeap`]
|
|
/// (provided by the `IntoIterator` trait). See its documentation for more.
|
|
///
|
|
/// [`into_iter`]: struct.BinaryHeap.html#method.into_iter
|
|
/// [`BinaryHeap`]: struct.BinaryHeap.html
|
|
#[stable(feature = "rust1", since = "1.0.0")]
|
|
#[derive(Clone)]
|
|
pub struct IntoIter<T> {
|
|
iter: vec::IntoIter<T>,
|
|
}
|
|
|
|
#[stable(feature = "collection_debug", since = "1.17.0")]
|
|
impl<T: fmt::Debug> fmt::Debug for IntoIter<T> {
|
|
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> Iterator for IntoIter<T> {
|
|
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> DoubleEndedIterator for IntoIter<T> {
|
|
#[inline]
|
|
fn next_back(&mut self) -> Option<T> {
|
|
self.iter.next_back()
|
|
}
|
|
}
|
|
|
|
#[stable(feature = "rust1", since = "1.0.0")]
|
|
impl<T> ExactSizeIterator for IntoIter<T> {
|
|
fn is_empty(&self) -> bool {
|
|
self.iter.is_empty()
|
|
}
|
|
}
|
|
|
|
#[stable(feature = "fused", since = "1.26.0")]
|
|
impl<T> FusedIterator for IntoIter<T> {}
|
|
|
|
#[unstable(feature = "binary_heap_into_iter_sorted", issue = "59278")]
|
|
#[derive(Clone, Debug)]
|
|
pub struct IntoIterSorted<T> {
|
|
inner: BinaryHeap<T>,
|
|
}
|
|
|
|
#[unstable(feature = "binary_heap_into_iter_sorted", issue = "59278")]
|
|
impl<T: Ord> Iterator for IntoIterSorted<T> {
|
|
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> ExactSizeIterator for IntoIterSorted<T> {}
|
|
|
|
#[unstable(feature = "binary_heap_into_iter_sorted", issue = "59278")]
|
|
impl<T: Ord> FusedIterator for IntoIterSorted<T> {}
|
|
|
|
#[unstable(feature = "trusted_len", issue = "37572")]
|
|
unsafe impl<T: Ord> TrustedLen for IntoIterSorted<T> {}
|
|
|
|
/// A draining iterator over the elements of a `BinaryHeap`.
|
|
///
|
|
/// This `struct` is created by the [`drain`] method on [`BinaryHeap`]. See its
|
|
/// documentation for more.
|
|
///
|
|
/// [`drain`]: struct.BinaryHeap.html#method.drain
|
|
/// [`BinaryHeap`]: struct.BinaryHeap.html
|
|
#[stable(feature = "drain", since = "1.6.0")]
|
|
#[derive(Debug)]
|
|
pub struct Drain<'a, T: 'a> {
|
|
iter: vec::Drain<'a, T>,
|
|
}
|
|
|
|
#[stable(feature = "drain", since = "1.6.0")]
|
|
impl<T> Iterator for Drain<'_, T> {
|
|
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> DoubleEndedIterator for Drain<'_, T> {
|
|
#[inline]
|
|
fn next_back(&mut self) -> Option<T> {
|
|
self.iter.next_back()
|
|
}
|
|
}
|
|
|
|
#[stable(feature = "drain", since = "1.6.0")]
|
|
impl<T> ExactSizeIterator for Drain<'_, T> {
|
|
fn is_empty(&self) -> bool {
|
|
self.iter.is_empty()
|
|
}
|
|
}
|
|
|
|
#[stable(feature = "fused", since = "1.26.0")]
|
|
impl<T> FusedIterator for Drain<'_, T> {}
|
|
|
|
/// A draining iterator over the elements of a `BinaryHeap`.
|
|
///
|
|
/// This `struct` is created by the [`drain_sorted`] method on [`BinaryHeap`]. See its
|
|
/// documentation for more.
|
|
///
|
|
/// [`drain_sorted`]: struct.BinaryHeap.html#method.drain_sorted
|
|
/// [`BinaryHeap`]: struct.BinaryHeap.html
|
|
#[unstable(feature = "binary_heap_drain_sorted", issue = "59278")]
|
|
#[derive(Debug)]
|
|
pub struct DrainSorted<'a, T: Ord> {
|
|
inner: &'a mut BinaryHeap<T>,
|
|
}
|
|
|
|
#[unstable(feature = "binary_heap_drain_sorted", issue = "59278")]
|
|
impl<'a, T: Ord> Drop for DrainSorted<'a, T> {
|
|
/// Removes heap elements in heap order.
|
|
fn drop(&mut self) {
|
|
while let Some(_) = self.inner.pop() {}
|
|
}
|
|
}
|
|
|
|
#[unstable(feature = "binary_heap_drain_sorted", issue = "59278")]
|
|
impl<T: Ord> Iterator for DrainSorted<'_, T> {
|
|
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> ExactSizeIterator for DrainSorted<'_, T> {}
|
|
|
|
#[unstable(feature = "binary_heap_drain_sorted", issue = "59278")]
|
|
impl<T: Ord> FusedIterator for DrainSorted<'_, T> {}
|
|
|
|
#[unstable(feature = "trusted_len", issue = "37572")]
|
|
unsafe impl<T: Ord> TrustedLen for DrainSorted<'_, T> {}
|
|
|
|
#[stable(feature = "binary_heap_extras_15", since = "1.5.0")]
|
|
impl<T: Ord> From<Vec<T>> for BinaryHeap<T> {
|
|
/// Converts a `Vec<T>` into a `BinaryHeap<T>`.
|
|
///
|
|
/// This conversion happens in-place, and has `O(n)` time complexity.
|
|
fn from(vec: Vec<T>) -> BinaryHeap<T> {
|
|
let mut heap = BinaryHeap { data: vec };
|
|
heap.rebuild();
|
|
heap
|
|
}
|
|
}
|
|
|
|
#[stable(feature = "binary_heap_extras_15", since = "1.5.0")]
|
|
impl<T> From<BinaryHeap<T>> for Vec<T> {
|
|
fn from(heap: BinaryHeap<T>) -> Vec<T> {
|
|
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> IntoIterator for BinaryHeap<T> {
|
|
type Item = T;
|
|
type IntoIter = IntoIter<T>;
|
|
|
|
/// 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(vec![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> {
|
|
IntoIter { iter: self.data.into_iter() }
|
|
}
|
|
}
|
|
|
|
#[stable(feature = "rust1", since = "1.0.0")]
|
|
impl<'a, T> IntoIterator for &'a BinaryHeap<T> {
|
|
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> Extend<T> for BinaryHeap<T> {
|
|
#[inline]
|
|
fn extend<I: IntoIterator<Item = T>>(&mut self, iter: I) {
|
|
<Self as SpecExtend<I>>::spec_extend(self, iter);
|
|
}
|
|
}
|
|
|
|
impl<T: Ord, I: IntoIterator<Item = T>> SpecExtend<I> for BinaryHeap<T> {
|
|
default fn spec_extend(&mut self, iter: I) {
|
|
self.extend_desugared(iter.into_iter());
|
|
}
|
|
}
|
|
|
|
impl<T: Ord> SpecExtend<BinaryHeap<T>> for BinaryHeap<T> {
|
|
fn spec_extend(&mut self, ref mut other: BinaryHeap<T>) {
|
|
self.append(other);
|
|
}
|
|
}
|
|
|
|
impl<T: Ord> BinaryHeap<T> {
|
|
fn extend_desugared<I: IntoIterator<Item = T>>(&mut self, iter: I) {
|
|
let iterator = iter.into_iter();
|
|
let (lower, _) = iterator.size_hint();
|
|
|
|
self.reserve(lower);
|
|
|
|
iterator.for_each(move |elem| self.push(elem));
|
|
}
|
|
}
|
|
|
|
#[stable(feature = "extend_ref", since = "1.2.0")]
|
|
impl<'a, T: 'a + Ord + Copy> Extend<&'a T> for BinaryHeap<T> {
|
|
fn extend<I: IntoIterator<Item = &'a T>>(&mut self, iter: I) {
|
|
self.extend(iter.into_iter().cloned());
|
|
}
|
|
}
|