cfsem

Docs - Rust | Docs - Python

Quasi-steady electromagnetics including filamentized approximations, Biot-Savart, and Grad-Shafranov.

Installation - Python

Requirements

• Python 3.9-3.13 and pip
• Don't worry about this:
  • This info provided for troubleshooting purposes:
  • If on an x86 processor, you will need a CPU that supports SSE through 4.1, AVX, and FMA.
  • This should be true on any modern machine.

pip install cfsem

Installation - Rust

To include this library in a Rust project, add an entry to your Cargo.toml's [dependencies] section:

cfsem = "*"

For Python installation, see the docs for the Python library.

Benchmarking - Rust

Benchmarks are configured in Cargo.toml, and can be run via cargo:

cargo bench

Development - Python

Requirements

• Rust

To install in the active python environment, do

uv pip install -e .[dev]

To build the Rust bindings only, do

maturin develop --release --features=python

No part of installation requires root. If access issues are encountered, this can likely be resolved by using a virtual environment.

Some computationally-expensive calculations are written in Rust. These calculations and their python bindings are installed from pre-built binaries when installing from pypi or compiled during local development installation, with no intervention from the user in either case. Symmetric bindings with docstrings are available in the bindings.py module and re-exported at the library level.

To build with all of the optimizations available on your local machine, you can do:

RUSTCFLAGS="-Ctarget-cpu=native" maturin develop --release --features=python
pip install -e .[dev]

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 the MIT license (LICENSE or http://opensource.org/licenses/MIT) .