// Copyright 2013-2014 The Rust Project Developers. See the COPYRIGHT // file at the top-level directory of this distribution and at // http://rust-lang.org/COPYRIGHT. // // Licensed under the Apache License, Version 2.0 or the MIT license // , at your // option. This file may not be copied, modified, or distributed // except according to those terms. //! A priority queue implemented with a binary heap. //! //! # Example //! //! This is a larger example which implements [Dijkstra's algorithm][dijkstra] //! to solve the [shortest path problem][sssp] on a [directed graph][dir_graph]. //! It showcases how to use the `PriorityQueue` with custom types. //! //! [dijkstra]: http://en.wikipedia.org/wiki/Dijkstra%27s_algorithm //! [sssp]: http://en.wikipedia.org/wiki/Shortest_path_problem //! [dir_graph]: http://en.wikipedia.org/wiki/Directed_graph //! //! ``` //! use std::collections::PriorityQueue; //! use std::uint; //! //! #[deriving(Eq, PartialEq)] //! struct State { //! cost: uint, //! position: uint //! } //! //! // 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: &State) -> Ordering { //! // Notice that the we flip the ordering here //! other.cost.cmp(&self.cost) //! } //! } //! //! // `PartialOrd` needs to be implemented as well. //! impl PartialOrd for State { //! fn partial_cmp(&self, other: &State) -> Option { //! Some(self.cmp(other)) //! } //! } //! //! // Each node is represented as an `uint`, for a shorter implementation. //! struct Edge { //! node: uint, //! cost: uint //! } //! //! // 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 `uint::MAX` as a sentinel value, //! // for a simpler implementation. //! fn shortest_path(adj_list: &Vec>, start: uint, goal: uint) -> uint { //! // dist[node] = current shortest distance from `start` to `node` //! let mut dist = Vec::from_elem(adj_list.len(), uint::MAX); //! //! let mut pq = PriorityQueue::new(); //! //! // We're at `start`, with a zero cost //! *dist.get_mut(start) = 0u; //! pq.push(State { cost: 0u, position: start }); //! //! // Examine the frontier with lower cost nodes first (min-heap) //! loop { //! let State { cost, position } = match pq.pop() { //! None => break, // empty //! Some(s) => s //! }; //! //! // Alternatively we could have continued to find all shortest paths //! if position == goal { return 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].iter() { //! 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] { //! pq.push(next); //! // Relaxation, we have now found a better way //! *dist.get_mut(next.position) = next.cost; //! } //! } //! } //! //! // Goal not reachable //! uint::MAX //! } //! //! fn main() { //! // This is the directed graph we're going to use. //! // The node numbers correspond to the different states, //! // and the edge weights symbolises the cost of moving //! // from one node to another. //! // Note that the edges are one-way. //! // //! // 7 //! // +-----------------+ //! // | | //! // v 1 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 it's 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), 1); //! assert_eq!(shortest_path(&graph, 0, 3), 3); //! assert_eq!(shortest_path(&graph, 3, 0), 7); //! assert_eq!(shortest_path(&graph, 0, 4), 5); //! assert_eq!(shortest_path(&graph, 4, 0), uint::MAX); //! } //! ``` #![allow(missing_doc)] use core::prelude::*; use core::default::Default; use core::mem::{zeroed, replace, swap}; use core::ptr; use {Collection, Mutable, MutableSeq}; use slice; use vec::Vec; /// A priority queue implemented with a binary heap. /// /// This will be a max-heap. #[deriving(Clone)] pub struct PriorityQueue { data: Vec, } impl Collection for PriorityQueue { /// Returns the length of the queue fn len(&self) -> uint { self.data.len() } } impl Mutable for PriorityQueue { /// Drop all items from the queue fn clear(&mut self) { self.data.truncate(0) } } impl Default for PriorityQueue { #[inline] fn default() -> PriorityQueue { PriorityQueue::new() } } impl PriorityQueue { /// Create an empty PriorityQueue as a max-heap. /// /// # Example /// /// ``` /// use std::collections::PriorityQueue; /// let pq: PriorityQueue = PriorityQueue::new(); /// ``` pub fn new() -> PriorityQueue { PriorityQueue{data: vec!(),} } /// Create an empty PriorityQueue with a specific capacity. /// This preallocates enough memory for `capacity` elements, /// so that the PriorityQueue does not have to be reallocated /// until it contains at least that many values. /// /// # Example /// /// ``` /// use std::collections::PriorityQueue; /// let pq: PriorityQueue = PriorityQueue::with_capacity(10u); /// ``` pub fn with_capacity(capacity: uint) -> PriorityQueue { PriorityQueue { data: Vec::with_capacity(capacity) } } /// Create a PriorityQueue from a vector. This is sometimes called /// `heapifying` the vector. /// /// # Example /// /// ``` /// use std::collections::PriorityQueue; /// let pq = PriorityQueue::from_vec(vec![9i, 1, 2, 7, 3, 2]); /// ``` pub fn from_vec(xs: Vec) -> PriorityQueue { let mut q = PriorityQueue{data: xs,}; let mut n = q.len() / 2; while n > 0 { n -= 1; q.siftdown(n) } q } /// An iterator visiting all values in underlying vector, in /// arbitrary order. /// /// # Example /// /// ``` /// use std::collections::PriorityQueue; /// let pq = PriorityQueue::from_vec(vec![1i, 2, 3, 4]); /// /// // Print 1, 2, 3, 4 in arbitrary order /// for x in pq.iter() { /// println!("{}", x); /// } /// ``` pub fn iter<'a>(&'a self) -> Items<'a, T> { Items { iter: self.data.iter() } } /// Returns the greatest item in a queue or `None` if it is empty. /// /// # Example /// /// ``` /// use std::collections::PriorityQueue; /// /// let mut pq = PriorityQueue::new(); /// assert_eq!(pq.top(), None); /// /// pq.push(1i); /// pq.push(5i); /// pq.push(2i); /// assert_eq!(pq.top(), Some(&5i)); /// /// ``` pub fn top<'a>(&'a self) -> Option<&'a T> { if self.is_empty() { None } else { Some(self.data.get(0)) } } #[deprecated="renamed to `top`"] pub fn maybe_top<'a>(&'a self) -> Option<&'a T> { self.top() } /// Returns the number of elements the queue can hold without reallocating. /// /// # Example /// /// ``` /// use std::collections::PriorityQueue; /// /// let pq: PriorityQueue = PriorityQueue::with_capacity(100u); /// assert!(pq.capacity() >= 100u); /// ``` pub fn capacity(&self) -> uint { self.data.capacity() } /// Reserve capacity for exactly `n` elements in the PriorityQueue. /// Do nothing if the capacity is already sufficient. /// /// # Example /// /// ``` /// use std::collections::PriorityQueue; /// /// let mut pq: PriorityQueue = PriorityQueue::new(); /// pq.reserve_exact(100u); /// assert!(pq.capacity() == 100u); /// ``` pub fn reserve_exact(&mut self, n: uint) { self.data.reserve_exact(n) } /// Reserve capacity for at least `n` elements in the PriorityQueue. /// Do nothing if the capacity is already sufficient. /// /// # Example /// /// ``` /// use std::collections::PriorityQueue; /// /// let mut pq: PriorityQueue = PriorityQueue::new(); /// pq.reserve(100u); /// assert!(pq.capacity() >= 100u); /// ``` pub fn reserve(&mut self, n: uint) { self.data.reserve(n) } /// Remove the greatest item from a queue and return it, or `None` if it is /// empty. /// /// # Example /// /// ``` /// use std::collections::PriorityQueue; /// /// let mut pq = PriorityQueue::from_vec(vec![1i, 3]); /// /// assert_eq!(pq.pop(), Some(3i)); /// assert_eq!(pq.pop(), Some(1i)); /// assert_eq!(pq.pop(), None); /// ``` pub fn pop(&mut self) -> Option { match self.data.pop() { None => { None } Some(mut item) => { if !self.is_empty() { swap(&mut item, self.data.get_mut(0)); self.siftdown(0); } Some(item) } } } #[deprecated="renamed to `pop`"] pub fn maybe_pop(&mut self) -> Option { self.pop() } /// Push an item onto the queue. /// /// # Example /// /// ``` /// use std::collections::PriorityQueue; /// /// let mut pq = PriorityQueue::new(); /// pq.push(3i); /// pq.push(5i); /// pq.push(1i); /// /// assert_eq!(pq.len(), 3); /// assert_eq!(pq.top(), Some(&5i)); /// ``` pub fn push(&mut self, item: T) { self.data.push(item); let new_len = self.len() - 1; self.siftup(0, new_len); } /// Optimized version of a push followed by a pop. /// /// # Example /// /// ``` /// use std::collections::PriorityQueue; /// /// let mut pq = PriorityQueue::new(); /// pq.push(1i); /// pq.push(5i); /// /// assert_eq!(pq.push_pop(3i), 5); /// assert_eq!(pq.push_pop(9i), 9); /// assert_eq!(pq.len(), 2); /// assert_eq!(pq.top(), Some(&3i)); /// ``` pub fn push_pop(&mut self, mut item: T) -> T { if !self.is_empty() && *self.top().unwrap() > item { swap(&mut item, self.data.get_mut(0)); self.siftdown(0); } item } /// Optimized version of a pop followed by a push. The push is done /// regardless of whether the queue is empty. /// /// # Example /// /// ``` /// use std::collections::PriorityQueue; /// /// let mut pq = PriorityQueue::new(); /// /// assert_eq!(pq.replace(1i), None); /// assert_eq!(pq.replace(3i), Some(1i)); /// assert_eq!(pq.len(), 1); /// assert_eq!(pq.top(), Some(&3i)); /// ``` pub fn replace(&mut self, mut item: T) -> Option { if !self.is_empty() { swap(&mut item, self.data.get_mut(0)); self.siftdown(0); Some(item) } else { self.push(item); None } } #[allow(dead_code)] #[deprecated="renamed to `into_vec`"] fn to_vec(self) -> Vec { self.into_vec() } #[allow(dead_code)] #[deprecated="renamed to `into_sorted_vec`"] fn to_sorted_vec(self) -> Vec { self.into_sorted_vec() } /// Consume the PriorityQueue and return the underlying vector /// in arbitrary order. /// /// # Example /// /// ``` /// use std::collections::PriorityQueue; /// /// let pq = PriorityQueue::from_vec(vec![1i, 2, 3, 4, 5, 6, 7]); /// let vec = pq.into_vec(); /// /// // Will print in some order /// for x in vec.iter() { /// println!("{}", x); /// } /// ``` pub fn into_vec(self) -> Vec { let PriorityQueue{data: v} = self; v } /// Consume the PriorityQueue and return a vector in sorted /// (ascending) order. /// /// # Example /// /// ``` /// use std::collections::PriorityQueue; /// /// let mut pq = PriorityQueue::from_vec(vec![1i, 2, 4, 5, 7]); /// pq.push(6); /// pq.push(3); /// /// let vec = pq.into_sorted_vec(); /// assert_eq!(vec, vec![1i, 2, 3, 4, 5, 6, 7]); /// ``` pub fn into_sorted_vec(self) -> Vec { let mut q = self; let mut end = q.len(); while end > 1 { end -= 1; q.data.as_mut_slice().swap(0, end); q.siftdown_range(0, end) } q.into_vec() } // The implementations of siftup and siftdown use unsafe blocks in // order to move an element out of the vector (leaving behind a // zeroed element), shift along the others and move it back into the // vector over the junk element. This reduces the constant factor // compared to using swaps, which involves twice as many moves. fn siftup(&mut self, start: uint, mut pos: uint) { unsafe { let new = replace(self.data.get_mut(pos), zeroed()); while pos > start { let parent = (pos - 1) >> 1; if new > *self.data.get(parent) { let x = replace(self.data.get_mut(parent), zeroed()); ptr::write(self.data.get_mut(pos), x); pos = parent; continue } break } ptr::write(self.data.get_mut(pos), new); } } fn siftdown_range(&mut self, mut pos: uint, end: uint) { unsafe { let start = pos; let new = replace(self.data.get_mut(pos), zeroed()); let mut child = 2 * pos + 1; while child < end { let right = child + 1; if right < end && !(*self.data.get(child) > *self.data.get(right)) { child = right; } let x = replace(self.data.get_mut(child), zeroed()); ptr::write(self.data.get_mut(pos), x); pos = child; child = 2 * pos + 1; } ptr::write(self.data.get_mut(pos), new); self.siftup(start, pos); } } fn siftdown(&mut self, pos: uint) { let len = self.len(); self.siftdown_range(pos, len); } } /// PriorityQueue iterator. pub struct Items <'a, T> { iter: slice::Items<'a, T>, } impl<'a, T> Iterator<&'a T> for Items<'a, T> { #[inline] fn next(&mut self) -> Option<(&'a T)> { self.iter.next() } #[inline] fn size_hint(&self) -> (uint, Option) { self.iter.size_hint() } } impl FromIterator for PriorityQueue { fn from_iter>(iter: Iter) -> PriorityQueue { let mut q = PriorityQueue::new(); q.extend(iter); q } } impl Extendable for PriorityQueue { fn extend>(&mut self, mut iter: Iter) { let (lower, _) = iter.size_hint(); let len = self.capacity(); self.reserve(len + lower); for elem in iter { self.push(elem); } } } #[cfg(test)] mod tests { use std::prelude::*; use priority_queue::PriorityQueue; use vec::Vec; use MutableSeq; #[test] fn test_iterator() { let data = vec!(5i, 9, 3); let iterout = [9i, 5, 3]; let pq = PriorityQueue::from_vec(data); let mut i = 0; for el in pq.iter() { assert_eq!(*el, iterout[i]); i += 1; } } #[test] fn test_top_and_pop() { let data = vec!(2u, 4, 6, 2, 1, 8, 10, 3, 5, 7, 0, 9, 1); let mut sorted = data.clone(); sorted.sort(); let mut heap = PriorityQueue::from_vec(data); while !heap.is_empty() { assert_eq!(heap.top().unwrap(), sorted.last().unwrap()); assert_eq!(heap.pop().unwrap(), sorted.pop().unwrap()); } } #[test] fn test_push() { let mut heap = PriorityQueue::from_vec(vec!(2i, 4, 9)); assert_eq!(heap.len(), 3); assert!(*heap.top().unwrap() == 9); heap.push(11); assert_eq!(heap.len(), 4); assert!(*heap.top().unwrap() == 11); heap.push(5); assert_eq!(heap.len(), 5); assert!(*heap.top().unwrap() == 11); heap.push(27); assert_eq!(heap.len(), 6); assert!(*heap.top().unwrap() == 27); heap.push(3); assert_eq!(heap.len(), 7); assert!(*heap.top().unwrap() == 27); heap.push(103); assert_eq!(heap.len(), 8); assert!(*heap.top().unwrap() == 103); } #[test] fn test_push_unique() { let mut heap = PriorityQueue::from_vec(vec!(box 2i, box 4, box 9)); assert_eq!(heap.len(), 3); assert!(*heap.top().unwrap() == box 9); heap.push(box 11); assert_eq!(heap.len(), 4); assert!(*heap.top().unwrap() == box 11); heap.push(box 5); assert_eq!(heap.len(), 5); assert!(*heap.top().unwrap() == box 11); heap.push(box 27); assert_eq!(heap.len(), 6); assert!(*heap.top().unwrap() == box 27); heap.push(box 3); assert_eq!(heap.len(), 7); assert!(*heap.top().unwrap() == box 27); heap.push(box 103); assert_eq!(heap.len(), 8); assert!(*heap.top().unwrap() == box 103); } #[test] fn test_push_pop() { let mut heap = PriorityQueue::from_vec(vec!(5i, 5, 2, 1, 3)); assert_eq!(heap.len(), 5); assert_eq!(heap.push_pop(6), 6); assert_eq!(heap.len(), 5); assert_eq!(heap.push_pop(0), 5); assert_eq!(heap.len(), 5); assert_eq!(heap.push_pop(4), 5); assert_eq!(heap.len(), 5); assert_eq!(heap.push_pop(1), 4); assert_eq!(heap.len(), 5); } #[test] fn test_replace() { let mut heap = PriorityQueue::from_vec(vec!(5i, 5, 2, 1, 3)); assert_eq!(heap.len(), 5); assert_eq!(heap.replace(6).unwrap(), 5); assert_eq!(heap.len(), 5); assert_eq!(heap.replace(0).unwrap(), 6); assert_eq!(heap.len(), 5); assert_eq!(heap.replace(4).unwrap(), 5); assert_eq!(heap.len(), 5); assert_eq!(heap.replace(1).unwrap(), 4); assert_eq!(heap.len(), 5); } fn check_to_vec(mut data: Vec) { let heap = PriorityQueue::from_vec(data.clone()); let mut v = heap.clone().into_vec(); v.sort(); data.sort(); assert_eq!(v.as_slice(), data.as_slice()); assert_eq!(heap.into_sorted_vec().as_slice(), data.as_slice()); } #[test] fn test_to_vec() { check_to_vec(vec!()); check_to_vec(vec!(5i)); check_to_vec(vec!(3i, 2)); check_to_vec(vec!(2i, 3)); check_to_vec(vec!(5i, 1, 2)); check_to_vec(vec!(1i, 100, 2, 3)); check_to_vec(vec!(1i, 3, 5, 7, 9, 2, 4, 6, 8, 0)); check_to_vec(vec!(2i, 4, 6, 2, 1, 8, 10, 3, 5, 7, 0, 9, 1)); check_to_vec(vec!(9i, 11, 9, 9, 9, 9, 11, 2, 3, 4, 11, 9, 0, 0, 0, 0)); check_to_vec(vec!(0i, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10)); check_to_vec(vec!(10i, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0)); check_to_vec(vec!(0i, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 0, 0, 1, 2)); check_to_vec(vec!(5i, 4, 3, 2, 1, 5, 4, 3, 2, 1, 5, 4, 3, 2, 1)); } #[test] fn test_empty_pop() { let mut heap: PriorityQueue = PriorityQueue::new(); assert!(heap.pop().is_none()); } #[test] fn test_empty_top() { let empty: PriorityQueue = PriorityQueue::new(); assert!(empty.top().is_none()); } #[test] fn test_empty_replace() { let mut heap: PriorityQueue = PriorityQueue::new(); heap.replace(5).is_none(); } #[test] fn test_from_iter() { let xs = vec!(9u, 8, 7, 6, 5, 4, 3, 2, 1); let mut q: PriorityQueue = xs.as_slice().iter().rev().map(|&x| x).collect(); for &x in xs.iter() { assert_eq!(q.pop().unwrap(), x); } } }