Crate heapless[−][src]
Expand description
static
friendly data structures that don’t require dynamic memory allocation
The core principle behind heapless
is that its data structures are backed by a static memory
allocation. For example, you can think of heapless::Vec
as an alternative version of
std::Vec
with fixed capacity and that can’t be re-allocated on the fly (e.g. via push
).
All heapless
data structures store their memory allocation inline and specify their capacity
via their type parameter N
. This means that you can instantiate a heapless
data structure on
the stack, in a static
variable, or even in the heap.
use heapless::Vec; // fixed capacity `std::Vec` use heapless::consts::U8; // type level integer used to specify capacity // on the stack let mut xs: Vec<u8, U8> = Vec::new(); // can hold up to 8 elements xs.push(42).unwrap(); assert_eq!(xs.pop(), Some(42)); // in a `static` variable // (because `const-fn` has not been fully stabilized you need to use the helper structs in // the `i` module, which must be wrapped in a tuple struct) static mut XS: Vec<u8, U8> = Vec(heapless::i::Vec::new()); let xs = unsafe { &mut XS }; xs.push(42); assert_eq!(xs.pop(), Some(42)); // in the heap (though kind of pointless because no reallocation) let mut ys: Box<Vec<u8, U8>> = Box::new(Vec::new()); ys.push(42).unwrap(); assert_eq!(ys.pop(), Some(42));
Because they have fixed capacity heapless
data structures don’t implicitly reallocate. This
means that operations like heapless::Vec.push
are truly constant time rather than amortized
constant time with potentially unbounded (depends on the allocator) worst case execution time
(which is bad / unacceptable for hard real time applications).
heapless
data structures don’t use a memory allocator which means no risk of an uncatchable
Out Of Memory (OOM) condition while performing operations on them. It’s certainly possible to
run out of capacity while growing heapless
data structures, but the API lets you handle this
possibility by returning a Result
on operations that may exhaust the capacity of the data
structure.
List of currently implemented data structures:
BinaryHeap
– priority queueIndexMap
– hash tableIndexSet
– hash setLinearMap
Pool
– lock-free memory poolString
Vec
mpmc::Q*
– multiple producer multiple consumer lock-free queuespsc::Queue
– single producer single consumer lock-free queue
Optional Features
The heapless
crate provides the following optional Cargo features:
ufmt-impl
: Implementufmt_write::uWrite
forString<N>
andVec<u8, N>
Minimum Supported Rust Version (MSRV)
This crate is guaranteed to compile on stable Rust 1.36 and up with its default set of features. It might compile on older versions but that may change in any new patch release.
Re-exports
pub use binary_heap::BinaryHeap;
Modules
A priority queue implemented with a binary heap.
Type aliases for many constants.
Unfortunate implementation detail required to construct heapless
types in const context
A fixed capacity Multiple-Producer Multiple-Consumer (MPMC) lock-free queue
A heap-less, interrupt-safe, lock-free memory pool (*)
Fixed capacity Single Producer Single Consumer (SPSC) queue
Structs
A “history buffer”, similar to a write-only ring buffer of fixed length.
Fixed capacity IndexMap
Fixed capacity IndexSet
.
A fixed capacity map / dictionary that performs lookups via linear search
A fixed capacity String
A fixed capacity Vec
Traits
Trait making GenericArray
work, marking types to be used as length of an array
The marker trait for type-level numbers which are a power of two.
Type Definitions
A heaples::IndexMap
using the default FNV hasher
A heapless::IndexSet
using the
default FNV hasher.
A list of all Methods and Traits available for FnvIndexSet
can be found in
the heapless::IndexSet
documentation.