moc
Read, write, create and manipulate HEALPix Multi-Order Coverage maps (MOCs), i.e. discretized geomatrical surfaces on the unit sphere.
MOC Lib Rust, the Rust MOC library used in MOCPy, MOCli, MOCSet, and MOCWasm.
MOC Lib Rust rely on the CDS HEALPix Rust library.
This Rust library implements the v2.0 of the MOC standard,
including (S-)MOCs, T-MOCs and ST-MOCs.
It also implements a still experimental F-MOC (F for Frequency).
MOC Lib Rust is used in:
For tools able to display MOCs, see:
The github releases section number is the MOCCli, MOCSet and MOCWasm release number.
Install rust
(and check that ~/.cargo/bin/
is in your path),
or update the Rust compiler with:
rustup update
Run tests (with or without seeing stdout
):
cargo test
cargo test -- --nocapture
Run benches:
cargo bench
Build documentation
cargo doc --open
Build the library for fast test or final build
# Fast build (large not optimized file)
cargo build
# Optimized file
cargo build --release
// Signature of the Union operation between 2 2D-MOCs
pub fn or<T, Q, U, R, I1, J1, K1, I2, J2, K2>(
left_it: K1,
right_it: K2
) -> OrRange2Iter<T, Q, I1, I2>
where
T: Idx, // Type of the 1st quantity (e.g. u32 or u64)
Q: MocQty<T>, // First quantity type, e.g Time
U: Idx, // Type of the 2nd quantity (e.g. u32 or u64)
R: MocQty<U>, // Second quantity type, e.g Space (we use Hpx for HEALPix)
I1: RangeMOCIterator<T, Qty=Q>,
J1: RangeMOCIterator<U, Qty=R>,
K1: RangeMOC2ElemIt<T, Q, U, R, It1=I1, It2=J1>,
I2: RangeMOCIterator<T, Qty=Q>,
J2: RangeMOCIterator<U, Qty=R>,
K2: RangeMOC2ElemIt<T, Q, U, R, It1=I2, It2=J2>
RangeMOC2
or
and
, complement
, fold
, …Like most projects in Rust, this project is licensed under either of
at your option.
Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in this project by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.
This work has been partly supported by the ESCAPE project.
ESCAPE - The European Science Cluster of Astronomy & Particle Physics ESFRI Research Infrastructures -
has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement no. 824064.