Struct borsh::maybestd::collections::BinaryHeap 1.0.0[−][src]
pub struct BinaryHeap<T> { /* fields omitted */ }
Expand description
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 Cell
, RefCell
, global state, I/O, or unsafe code. The
behavior resulting from such a logic error is not specified, but will
not result in undefined behavior. This could include panics, incorrect
results, aborts, memory leaks, and non-termination.
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())
Min-heap
Either std::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.
Implementations
Creates an empty BinaryHeap
as a max-heap.
Examples
Basic usage:
use std::collections::BinaryHeap; let mut heap = BinaryHeap::new(); heap.push(4);
Creates an empty BinaryHeap
with a specific capacity.
This preallocates enough memory for capacity
elements,
so that the BinaryHeap
does not have to be reallocated
until it contains at least that many values.
Examples
Basic usage:
use std::collections::BinaryHeap; let mut heap = BinaryHeap::with_capacity(10); heap.push(4);
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, the heap may be in an
inconsistent state.
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); { let mut val = heap.peek_mut().unwrap(); *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).
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(vec![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)).
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.
Consumes the BinaryHeap
and returns a vector in sorted
(ascending) order.
Examples
Basic usage:
use std::collections::BinaryHeap; let mut heap = BinaryHeap::from(vec![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]);
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());
pub fn drain_sorted(&mut self) -> DrainSorted<'_, T>ⓘNotable traits for DrainSorted<'_, T>impl<'_, T> Iterator for DrainSorted<'_, T> where
T: Ord, type Item = T;
[src]🔬 This is a nightly-only experimental API. (binary_heap_drain_sorted
)
pub fn drain_sorted(&mut self) -> DrainSorted<'_, T>ⓘNotable traits for DrainSorted<'_, T>impl<'_, T> Iterator for DrainSorted<'_, T> where
T: Ord, type Item = T;
[src]impl<'_, T> Iterator for DrainSorted<'_, T> where
T: Ord, type Item = T;
binary_heap_drain_sorted
)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 * 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(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);
🔬 This is a nightly-only experimental API. (binary_heap_retain
)
binary_heap_retain
)Retains only the elements specified by the predicate.
In other words, remove all elements e
such that f(&e)
returns
false
. The elements are visited in unsorted (and unspecified) order.
Examples
Basic usage:
#![feature(binary_heap_retain)] use std::collections::BinaryHeap; let mut heap = BinaryHeap::from(vec![-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])
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); }
pub fn into_iter_sorted(self) -> IntoIterSorted<T>ⓘNotable traits for IntoIterSorted<T>impl<T> Iterator for IntoIterSorted<T> where
T: Ord, type Item = T;
[src]🔬 This is a nightly-only experimental API. (binary_heap_into_iter_sorted
)
pub fn into_iter_sorted(self) -> IntoIterSorted<T>ⓘNotable traits for IntoIterSorted<T>impl<T> Iterator for IntoIterSorted<T> where
T: Ord, type Item = T;
[src]impl<T> Iterator for IntoIterSorted<T> where
T: Ord, type Item = T;
binary_heap_into_iter_sorted
)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]);
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.
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);
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);
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);
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);
🔬 This is a nightly-only experimental API. (shrink_to
)
new API
🔬 This is a nightly-only experimental API. (shrink_to
)
new API
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
#![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);
🔬 This is a nightly-only experimental API. (binary_heap_as_slice
)
binary_heap_as_slice
)Returns a slice of all values in the underlying vector, in arbitrary order.
Examples
Basic usage:
#![feature(binary_heap_as_slice)] use std::collections::BinaryHeap; use std::io::{self, Write}; let heap = BinaryHeap::from(vec![1, 2, 3, 4, 5, 6, 7]); io::sink().write(heap.as_slice()).unwrap();
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); }
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);
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());
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());
Trait Implementations
Creates an empty BinaryHeap<T>
.
Extends a collection with the contents of an iterator. Read more
extend_one
)Extends a collection with exactly one element.
extend_one
)Reserves capacity in a collection for the given number of additional elements. Read more
Extends a collection with the contents of an iterator. Read more
extend_one
)Extends a collection with exactly one element.
extend_one
)Reserves capacity in a collection for the given number of additional elements. Read more
Converts a Vec<T>
into a BinaryHeap<T>
.
This conversion happens in-place, and has O(n) time complexity.
Creates a value from an iterator. Read more
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); }
type Item = T
type Item = T
The type of the elements being iterated over.
Auto Trait Implementations
impl<T> RefUnwindSafe for BinaryHeap<T> where
T: RefUnwindSafe,
impl<T> Send for BinaryHeap<T> where
T: Send,
impl<T> Sync for BinaryHeap<T> where
T: Sync,
impl<T> Unpin for BinaryHeap<T> where
T: Unpin,
impl<T> UnwindSafe for BinaryHeap<T> where
T: UnwindSafe,
Blanket Implementations
Mutably borrows from an owned value. Read more