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benches | ||
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src | ||
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Cargo.toml | ||
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README.md |
Summary
bitvec
provides a foundational API for bitfields in Rust. It specializes
standard-library data structures (slices, arrays, and vectors of bool
) to use
one-bit-per-bool
storage, similar to std::bitset<N>
and
std::vector<bool>
in C++.
Additionally, it allows a memory region to be divided into arbitrary regions of integer storage, like binaries in Erlang.
If you need to view memory as bit-addressed instead of byte-addressed, then
bitvec
is the fastest, most complete, and Rust-idiomatic crate for you.
Introduction
Computers do not operate on bits. The memory bus is byte-addressed, and processors operate on register words, which are typically four to eight bytes, or even wider. This means that when programmers wish to operate on individual bits within a byte of memory or a word of register, they have to do so manually, using shift and mask operations that are likely familiar to anyone who has done this before.
bitvec
brings the capabilities of C++’s compact bool
storage and Erlang’s
decomposable bit-streams to Rust, in a package that fits in with your existing
Rust idioms and in the most capable, performant, implementation possible. The
bit-stream behavior provides the logic necessary for C-style structural
bitfields, and syntax sugar for it can be found in deku
.
bitvec
enables you to write code for bit-addressed memory that is simple,
easy, and fast. It compiles to the same, or even better, object code than you
would get from writing shift/mask instructions manually. It leverages Rust’s
powerful reference and type systems to create a system that seamlessly bridges
single-bit addressing, precise control of in-memory layout, and Rust-native
ownership and borrowing mechanisms.
Highlights
bitvec
has a number of unique capabilities related to its place as a Rust
library and as a bit-addressing system.
- It supports arbitrary bit-addressing, and its bit slices can be munched from the front.
BitSlice
is a region type equivalent to[bool]
, and can be described by Rust references and thus fit into reference-based APIs.- Type parameters enable users to select the precise memory representation they desire.
- A memory model accounts for element-level aliasing and is safe for concurrent use. In particular, the “Beware Bitfields” bug described in this Mozilla report is simply impossible to produce.
- Native support for atomic integers as bit-field storage.
- Users can supply their own translation layer for memory representation if the built-in translations are insufficient.
However, it does also have some small costs associated with its capabilities:
BitSlice
cannot be used as a referent type in pointers, such asBox
,Rc
, orArc
.BitSlice
cannot implementIndexMut
, sobitslice[index] = true;
does not work.
Usage
Minimum Supported Rust Version: 1.56.0
bitvec
strives to follow the sequence APIs in the standard library. However,
as most of its functionality is a reïmplementation that does not require the
standard library to actually have the symbols present, doing so may not require
an MSRV raise.
Now that bitvec
is at 1.0, it will only raise MSRV in minor-edition releases.
If you have a pinned Rust toolchain, you should depend on bitvec
with a
limiting minor-version constraint like "~1.0"
.
First, depend on it in your Cargo manifest:
[dependencies]
bitvec = "1"
Note:
bitvec
supports#![no_std]
targets. If you do not havestd
, disable the default features, and explicitly restore any features that you do have:[dependencies.bitvec] version = "1" default-features = false features = ["atomic", "alloc"]
Once Cargo knows about it, bring its prelude into scope:
use bitvec::prelude::*;
You can read the prelude reëxports to see exactly which symbols are being imported. The prelude brings in many symbols, and while name collisions are not likely, you may wish to instead import the prelude module rather than its contents:
use bitvec::prelude as bv;
You should almost certainly use type aliases to make names for specific
instantiations of bitvec
type parameters, and use that rather than attempting
to remain generic over an <T: BitStore, O: BitOrder>
pair throughout your
project.
Examples
use bitvec::prelude::*;
// All data-types have macro
// constructors.
let arr = bitarr![u32, Lsb0; 0; 80];
let bits = bits![u16, Msb0; 0; 40];
// Unsigned integers (scalar, array,
// and slice) can be borrowed.
let data = 0x2021u16;
let bits = data.view_bits::<Msb0>();
let data = [0xA5u8, 0x3C];
let bits = data.view_bits::<Lsb0>();
// Bit-slices can split anywhere.
let (head, rest) = bits.split_at(4);
assert_eq!(head, bits[.. 4]);
assert_eq!(rest, bits[4 ..]);
// And they are writable!
let mut data = [0u8; 2];
let bits = data.view_bits_mut::<Lsb0>();
// l and r each own one byte.
let (l, r) = bits.split_at_mut(8);
// but now a, b, c, and d own a nibble!
let ((a, b), (c, d)) = (
l.split_at_mut(4),
r.split_at_mut(4),
);
// and all four of them are writable.
a.set(0, true);
b.set(1, true);
c.set(2, true);
d.set(3, true);
assert!(bits[0]); // a[0]
assert!(bits[5]); // b[1]
assert!(bits[10]); // c[2]
assert!(bits[15]); // d[3]
// `BitSlice` is accessed by reference,
// which means it respects NLL styles.
assert_eq!(data, [0x21u8, 0x84]);
// Furthermore, bit-slices can store
// ordinary integers:
let eight = [0u8, 4, 8, 12, 16, 20, 24, 28];
// a b c d e f g h
let mut five = [0u8; 5];
for (slot, byte) in five
.view_bits_mut::<Msb0>()
.chunks_mut(5)
.zip(eight.iter().copied())
{
slot.store_be(byte);
assert_eq!(slot.load_be::<u8>(), byte);
}
assert_eq!(five, [
0b00000_001,
// aaaaa bbb
0b00_01000_0,
// bb ccccc d
0b1100_1000,
// dddd eeee
0b0_10100_11,
// e fffff gg
0b000_11100,
// ggg hhhhh
]);
The BitSlice
type is a view that alters the behavior of a borrowed memory
region. It is never held directly, but only by references (created by borrowing
integer memory) or the BitArray
value type. In addition, the presence of a
dynamic allocator enables the BitBox
and BitVec
buffer types, which can be
used for more advanced buffer manipulation:
#[cfg(feature = "alloc")]
fn main() {
use bitvec::prelude::*;
let mut bv = bitvec![u8, Msb0;];
bv.push(false);
bv.push(true);
bv.extend([false; 4].iter());
bv.extend(&15u8.view_bits::<Lsb0>()[.. 4]);
assert_eq!(bv.as_raw_slice(), &[
0b01_0000_11, 0b11_000000
// ^ dead
]);
}
While place expressions like bits[index] = value;
are not available, bitvec
instead provides a proxy structure that can be used as nearly an &mut bit
reference:
use bitvec::prelude::*;
let bits = bits![mut 0];
// `bit` is not a reference, so
// it must be bound with `mut`.
let mut bit = bits.get_mut(0).unwrap();
assert!(!*bit);
*bit = true;
assert!(*bit);
// `bit` is not a reference,
// so NLL rules do not apply.
drop(bit);
assert!(bits[0]);
The bitvec
data types implement a complete replacement for their
standard-library counterparts, including all of the inherent methods, traits,
and operator behaviors.
User Stories
Uses of bitvec
generally fall into three major genres.
- compact, fast,
usize => bit
collections - truncated integer storage
- precise control of memory layout
Bit Collections
At its most basic, bitvec
provides sequence types analogous to the standard
library’s bool
collections. The default behavior is optimized for fast memory
access and simple codegen, and can compact [bool]
or Vec<bool>
with minimal
overhead.
While bitvec
does not attempt to take advantage of SIMD or other vectorized
instructions in its default work, its codegen should be a good candidate for
autovectorization in LLVM. If explicit vectorization is important to you, please
file an issue.
Example uses might be implementing a Sieve of Eratosthenes to store primes, or
other collections that test a yes/no property of a number; or replacing
Vec<Option<T>>
with (BitVec, Vec<MaybeUninit<T>>
).
To get started, you can perform basic text replacement on your project. Translate any existing types as follows:
[bool; N]
becomesBitArray
[bool]
becomesBitSlice
Vec<bool>
becomesBitVec
Box<[bool]>
becomesBitBox
and then follow any compiler errors that arise.
Bit-Field Memory Access
A single bit of information has very few uses. bitvec
also enables you to
store integers wider than a single bit, by selecting a bit-slice and using the
BitField
trait on it. You can store and retrieve both unsigned and signed
integers, as long as the ordering type parameter is Lsb0
or Msb0
.
If your bit-field storage buffers are never serialized for exchange between machines, then you can get away with using the default type parameters and unadorned load/store methods. While the in-memory layout of stored integers may be surprising if directly inspected, the overall behavior should be optimal for your target.
Remember: bitvec
only provides array place expressions, using integer start
and end points. You can use deku
if you want C-style named structural fields
with bit-field memory storage.
However, if you are de/serializing buffers for transport, then you fall into the third category.
Transport Protocols
Many protocols use sub-element fields in order to save space in transport; for example, TCP headers have single-bit and 4-bit fields in order to pack all the needed information into a desirable amount of space. In C or Erlang, these TCP protocol fields could be mapped by record fields in the language. In Rust, they can be mapped by indexing into a bit-slice.
When using bitvec
to manage protocol buffers, you will need to select the
exact type parameters that match your memory layout. For instance, TCP uses
<u8, Msb0>
, while IPv6 on a little-endian machine uses <u32, Lsb0>
. Once you
have done this, you can replace all of your (memory & mask) >> shift
or
memory |= (value & mask) << shift
expressions with memory[start .. end]
.
As a direct example, the Itanium instruction set IA-64 uses very-long
instruction words containing three 41-bit fields in a [u8; 16]
. One IA-64
disassembler replaced its manual shift/mask implementation with bitvec
range
indexing, taking the bit numbers directly from the datasheet, and observed that
their code was both easier to maintain and also had better performance as a
result!
Feature Flags
bitvec
has a few Cargo features that govern its API surface. The default
feature set is:
[dependencies.bitvec]
version = "1"
features = [
"alloc",
"atomic",
# "serde",
"std",
]
Use default-features = false
to disable all of them, then features = []
to
restore the ones you need.
-
alloc
: This links against thealloc
distribution crate, and provides theBitVec
andBitBox
types. It can be used on#![no_std]
targets that possess a dynamic allocator but not an operating system. -
atomic
: This controls whether atomic instructions can be used for aliased memory.bitvec
uses theradium
crate to perform automatic detection of atomic capability, and targets that do not possess atomic instructions can still function with this feature enabled. Its only effect is that targets which do have atomic instructions may choose to disable it and enforce single-threaded behavior that never incurs atomic synchronization. -
serde
: This enables the de/serialization ofbitvec
buffers through theserde
system. This can be useful if you need to transmitusize => bool
collections. -
std
: This provides somestd::io::{Read,Write}
implementations, as well asstd::error::Error
for the various error types. It is otherwise unnecessary.
Deeper Reading
The API Documentation explores bitvec
’s usage and implementation in
great detail. In particular, you should read the documentation for the
order
, store
, and field
modules, as well as the BitSlice
and
BitArray
types.
In addition, the user guide explores the philosophical and academic
concepts behind bitvec
’s construction, its goals, and the more intricate parts
of its behavior.
While you should be able to get started with bitvec
with only dropping it into
your code and using the same habits you have with the standard library, both of
these resources contain all of the information needed to understand what it
does, how it works, and how it can be useful to you.