Several useful tips:
- Install rust and cargo make.
- Run
cargo make
to compile the project and run all tests. This will also automatically format the code according to Rust specification, so I recommend running it before every commit. - Also, you can run
cargo clippy
to run static analysis of your code - this will produce extra warnings that are normally not provided by the compiler. - Run
cargo run --release [model file] [phenotype file]
to run thesrc/main.rs
binary. The binary will load the given model file and compute its attractors. Then, it will parse the phenotypes (one line = one specification) and run analysis for each attractor-phenotype pair using the library functions. - Library root file is in
src/lib.rs
. - Algorithms adapted from Aeon are in
src/aeon/
- there shouldn't be a need to modify those. - There are Github Actions specified for this project that will run all checks in the cloud as well.
- You can find a lot of different
.aeon
models in this benchmark folder. The models do not have parameters (so there will always be only one color per attractor), but that should be good enough for testing now.