ArchimedLightPy

[][conda-link]

This Python package is a wrapper around the Julia package ArchimedLight.jl available here (documentation here) which is a package for computing light interception, based on the ARCHIMED model first written in JAVA. The package is designed to be used in the context of plant architecture analysis.

Note

This package is still in development and should be used with caution. It is meant to be a proof of concept !

Note

This package is based on the implementation of the diffeqpy package available here

Installation

Pixi (recommanded)

Install Pixi, then clone the ArchimedLightPy repo: git clone https://github.com/openalea-incubator/ArchimedLightPy.git and simply run:

pixi run load # will simply try to load the package
pixi run test # will run a minmal test : https://vezy.github.io/ArchimedLight.jl/stable/getting_started/#Minimal-Run

Conda / Mamba

Build yourself a dedicated conda environment. Although it relies on Julia, it is not mandatory to have Julia installed on your machine. The package will download the Julia binaries for you if it can't find it.

conda create -n ArchimedLightPy python=3.12
conda activate ArchimedLightPy
conda add -c conda-forge xxx xxx (julia) ... # if you want to install a local version of julia in the environment
git clone https://github.com/openalea-incubator/ArchimedLightPy.git
cd ArchimedLightPy
pip install -e .

Then you're ready to go ! (First time you run the package, it will download the Julia binaries and dependancies, and pre-compile the packages, so it might take a while)