Getting started¶
Installation¶
Clone the repository and install the package into your active Python environment:
git clone https://github.com/sisyga/biolgca.git
cd biolgca
python -m pip install -e .
The core package depends on numpy, scipy and tqdm. Optional extras
are declared in pyproject.toml:
Extra |
Purpose |
Install command |
|---|---|---|
|
Test runner dependencies |
|
|
Sphinx documentation build |
|
|
2D plotting with Matplotlib |
|
|
3D plotting with Mayavi |
|
|
All plotting extras |
|
|
Development, testing, docs and 2D plotting |
|
The legacy requirements.txt, documentation_requirements.txt and
plotting-requirements.txt files are still present for older workflows, but
the extras above are the preferred installation interface.
Creating a simulator¶
Use lgca.get_lgca() to choose a model family, geometry, initial condition
and interaction rule:
from lgca import get_lgca
lgca = get_lgca(
geometry="1d",
ib=True,
ve=True,
interaction="random_walk",
dims=50,
seed=1,
)
lgca.timeevo(timesteps=50, record=True, showprogress=False)
The Factory reference page lists the supported factory switches and class families.
Running tests¶
From the repository root:
python -m pytest -q
Building the documentation¶
Install the docs extra and build the HTML documentation locally:
python -m pip install -e ".[docs]"
python -m sphinx -b html docs/source docs/_build/html
Read the Docs uses the same Sphinx configuration from docs/source/conf.py
and installs the docs extra through .readthedocs.yaml.
Notebook examples¶
The repository includes notebook examples for broader tours of the API: