# cfsem
Quasi-steady electromagnetics including filamentized approximations, Biot-Savart, and Grad-Shafranov.
To avoid duplication, most tests and example applications are found with the [Python bindings](https://github.com/cfs-energy/cfsem-py).
This library makes use of FMA (fused multiply-add) instructions; as a result, its performance benefits significantly from enabling the `+fma` flag for x86 targets. See [this project's rustc config](.cargo/config.toml) for an example configuration enabling FMA for x86 targets. aarch64 targets (such as Apple and Raspberry Pi processors) have FMA enabled by default.
## Installation
To include this library in a Rust project, add an entry to your Cargo.toml's `[dependencies]` section:
```toml
cfsem = "*"
```
For Python installation, see the docs for the Python library.
## Benchmarking
Benchmarks are configured in Cargo.toml, and can be run via cargo:
```bash
cargo bench
```
## Contributing
Contributions consistent with the goals and anti-goals of the package are welcome.
Please make an issue ticket to discuss changes before investing significant time into a branch.
Goals
* Library-level functions and formulas
* Comprehensive documentation including literature references, assumptions, and units-of-measure
* Quantitative unit-testing of formulas
* Performance (both speed and memory-efficiency)
* Guide development of performance-sensitive functions with structured benchmarking
* Cross-platform compatibility
* Minimization of long-term maintenance overhead (both for the library, and for users of the library)
* Semantic versioning
* Automated linting and formatting tools
* Centralized CI and toolchain configuration in as few files as possible
Anti-Goals
* Fanciness that increases environment complexity, obfuscates reasoning, or introduces platform restrictions
* Brittle CI or toolchain processes that drive increased maintenance overhead
* Application-level functionality (graphical interfaces, simulation frameworks, etc)
## License
Licensed under either of
* Apache License, Version 2.0, ([LICENSE-APACHE](LICENSE-APACHE) or http://www.apache.org/licenses/LICENSE-2.0)
* MIT license ([LICENSE-MIT](LICENSE-MIT) or http://opensource.org/licenses/MIT)
at your option.