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Installation#

Linux / MacOS#

Conda installation:

conda install fegrow -c conda-forge

We recommend using mambaforge which is a flavour of conda. Conda struggles with resolving the environment.

To use the latest git version, download the code and use the provided environment file environment.yml

git clone https://github.com/cole-group/FEgrow.git
cd FEgrow
mamba env create -f environment.yml
conda activate fegrow
pip install --no-deps . # the repository directory

In order to ensure that the environment is available in your jupyter, you can then use

python -m ipykernel install --user --name=fegrow

Warning

Gnina stage is not supported on MacOS because CUDA's is not available on MacOS (see issue)

Windows#

We have not verified whether this toolkit works on Windows and we expect issues with the dependancy openmm-torch.