4 releases (2 breaking)
0.12.2 | May 12, 2023 |
---|---|
0.12.1 | May 8, 2023 |
0.7.1 | Nov 12, 2022 |
0.6.0 | Oct 25, 2022 |
#362 in Science
340KB
8K
SLoC
Introduction
rgrow (which may change name in the future) is a fast, extensible simulator for Tile Assembly Models, primarily focused on kinetic models that require fast simulations of attachment and detachment events. It is inspired by Xgrow, but seeks to be more extensible and easier and faster to use programmably. It has Rust and Python interfaces, and a command line and UI interface similar to Xgrow.
Python documentation is available at https://rgrow.readthedocs.io/en/latest/.
Rust documentation is available at https://docs.rs/rgrow/.
Installation
Python library
Releases are pushed, in both source and a variety of binary forms, to PyPI. To install the latest release, use:
pip install rgrow
To install directly from git using Pip:
pip install "git+https://github.com/evansfmm/rgrow.git#subdirectory=py-rgrow"
or check out the repository, and use
cd py-rgrow
maturin develop --release -- -C target-cpu=native
The FLTK-based UI is usable within Python if you have the correct dependencies, and activate the "ui" feature:
cd py-rgrow
maturin develop --release -F ui -- -C target-cpu=native
Rust / CLI
Note that the rust version currently requires Rust nightly. This should change soon.
cargo install rgrow
Dependencies
~6–46MB
~686K SLoC