1.0.0[−][src]Struct std::collections::binary_heap::BinaryHeap
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.
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())Run
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);Run
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.
Methods
impl<T> BinaryHeap<T> where
T: Ord,
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T: Ord,
pub fn new() -> BinaryHeap<T>
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Creates an empty BinaryHeap
as a max-heap.
Examples
Basic usage:
use std::collections::BinaryHeap; let mut heap = BinaryHeap::new(); heap.push(4);Run
pub fn with_capacity(capacity: usize) -> BinaryHeap<T>
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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);Run
pub fn peek_mut(&mut self) -> Option<PeekMut<T>>
1.12.0[src]
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));Run
Time complexity
Cost is O(1) in the worst case.
pub fn pop(&mut self) -> Option<T>
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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);Run
Time complexity
The worst case cost of pop
on a heap containing n elements is O(log
n).
pub fn push(&mut self, item: T)
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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));Run
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.
pub fn into_sorted_vec(self) -> Vec<T>
1.5.0[src]
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]);Run
pub fn append(&mut self, other: &mut BinaryHeap<T>)
1.11.0[src]
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());Run
impl<T> BinaryHeap<T>
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ⓘImportant traits for Iter<'a, T>pub fn iter(&self) -> Iter<T>
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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); }Run
pub fn peek(&self) -> Option<&T>
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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)); Run
Time complexity
Cost is O(1) in the worst case.
pub fn capacity(&self) -> usize
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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);Run
pub fn reserve_exact(&mut self, additional: usize)
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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);Run
pub fn reserve(&mut self, additional: usize)
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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);Run
pub fn shrink_to_fit(&mut self)
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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);Run
pub fn shrink_to(&mut self, min_capacity: usize)
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🔬 This is a nightly-only experimental API. (shrink_to
#56431)
new API
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);Run
pub fn into_vec(self) -> Vec<T>
1.5.0[src]
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); }Run
pub fn len(&self) -> usize
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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);Run
pub fn is_empty(&self) -> bool
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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());Run
ⓘImportant traits for Drain<'_, T>pub fn drain(&mut self) -> Drain<T>
1.6.0[src]
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());Run
pub fn clear(&mut self)
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Trait Implementations
impl<T> From<BinaryHeap<T>> for Vec<T>
1.5.0[src]
impl<T> From<Vec<T>> for BinaryHeap<T> where
T: Ord,
1.5.0[src]
T: Ord,
fn from(vec: Vec<T>) -> BinaryHeap<T>
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Converts a Vec<T>
into a BinaryHeap<T>
.
This conversion happens in-place, and has O(n)
time complexity.
impl<T> Debug for BinaryHeap<T> where
T: Debug,
1.4.0[src]
T: Debug,
impl<T> Default for BinaryHeap<T> where
T: Ord,
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T: Ord,
fn default() -> BinaryHeap<T>
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Creates an empty BinaryHeap<T>
.
impl<'a, T> Extend<&'a T> for BinaryHeap<T> where
T: 'a + Copy + Ord,
1.2.0[src]
T: 'a + Copy + Ord,
fn extend<I>(&mut self, iter: I) where
I: IntoIterator<Item = &'a T>,
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I: IntoIterator<Item = &'a T>,
impl<T> Extend<T> for BinaryHeap<T> where
T: Ord,
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T: Ord,
fn extend<I>(&mut self, iter: I) where
I: IntoIterator<Item = T>,
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I: IntoIterator<Item = T>,
impl<T> FromIterator<T> for BinaryHeap<T> where
T: Ord,
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T: Ord,
fn from_iter<I>(iter: I) -> BinaryHeap<T> where
I: IntoIterator<Item = T>,
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I: IntoIterator<Item = T>,
impl<T> Clone for BinaryHeap<T> where
T: Clone,
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T: Clone,
fn clone(&self) -> BinaryHeap<T>
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fn clone_from(&mut self, source: &BinaryHeap<T>)
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impl<T> IntoIterator for BinaryHeap<T>
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type Item = T
The type of the elements being iterated over.
type IntoIter = IntoIter<T>
Which kind of iterator are we turning this into?
ⓘImportant traits for IntoIter<T>fn into_iter(self) -> IntoIter<T>
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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); }Run
impl<'a, T> IntoIterator for &'a BinaryHeap<T>
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Auto Trait Implementations
impl<T> UnwindSafe for BinaryHeap<T> where
T: UnwindSafe,
T: UnwindSafe,
impl<T> RefUnwindSafe for BinaryHeap<T> where
T: RefUnwindSafe,
T: RefUnwindSafe,
impl<T> Unpin for BinaryHeap<T> where
T: Unpin,
T: Unpin,
impl<T> Send for BinaryHeap<T> where
T: Send,
T: Send,
impl<T> Sync for BinaryHeap<T> where
T: Sync,
T: Sync,
Blanket Implementations
impl<T> From<T> for T
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impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,
type Error = <U as TryFrom<T>>::Error
The type returned in the event of a conversion error.
fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>
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impl<I> IntoIterator for I where
I: Iterator,
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I: Iterator,
type Item = <I as Iterator>::Item
The type of the elements being iterated over.
type IntoIter = I
Which kind of iterator are we turning this into?
fn into_iter(self) -> I
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impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
ⓘImportant traits for &'_ mut Ffn borrow_mut(&mut self) -> &mut T
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impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> ToOwned for T where
T: Clone,
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T: Clone,