1 unstable release
0.1.0 | Jan 2, 2024 |
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#2038 in Data structures
11KB
122 lines
Cursieve
🚧🔨 Under construction 🔨🚧
Cursieve is a Rust library that makes it easy to deserialize byte arrays into annotated Rust structures.
Curseive generates the appropriate read and write methods to pack and unpack your custom Rust types using std::io::Cursor
. This library is most useful when you have existing byte data you want to extract non-contiguous information out of and into Rust structures you can freely and easily modify, which can later be reserialized, leaving other bytes untouched.
Features
Generates sift
and disperse
functions that allow you to generate a structure from existing byte data, or deserialize an existing structure across a given byte array.
- Implemented using
std::io::Cursor
and byteorder, with support for endianness - Serialize primitives and other Cursieve-derived types easily; opt-in other fields with
try_from
support - Annotate only where needed; Cursieve automatically computes the size of your structure and offsets required to serialize; for non-contiguous reading, simply annotate the start of each contiguous region
Usage
Add this to your Cargo.toml
:
[dependencies]
cursieve = "0.1.0"
Then, in your crate:
use cursieve::Sieve;
#[derive(Sieve)]
struct MyStruct {
#[sieve(offset(0x8A))]
my_var: i32,
// ...
}
Example
Here's a simple example of how to use Cursieve
:
#[derive(Debug, Sieve)]
pub struct MyStruct {
#[sieve(offset(0x12), count(7))]
name: Vec<u8>,
#[sieve(offset(0x80), try_from(u16))]
ty: TypeSupportingTryFromPrimitive,
#[sieve(try_from)]
garden: Garden,
happiness: i16,
init: u8,
#[sieve(offset(0x8A))]
lifespan_1: i16,
lifespan_2: i16,
#[sieve(order(byteorder::BigEndian))]
cool_beans: u16,
}
Documentation
Full documentation to come later.
Installation
You can include this library as a dependency in your Rust project by adding the following to your Cargo.toml
:
[dependencies]
cursieve = "0.1.0"
Contributing
Contributions would be neat once I get this a bit more organized.
License
This project is licensed under the MIT license.
Acknowledgements
Dogs!
Dependencies
~0.3–0.8MB
~18K SLoC