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We have added relatively simple use-cases here, to illustrate what LUE can be used for. They are very simple, which is on purpose of course. LUE hides much of the complicated stuff to perform very large models on large amounts of hardware.
BTW, we accept pull-requests for additional use-cases, so please do contribute yours if you have any.
Current list:
To be able to run one or more use-cases, the following steps must be performed first:
Install a Conda client, like Miniforge.
Clone the tutorial repository:
git clone https://github.com/computationalgeography/lue_tutorial.git
cd lue_tutorialCreate and activate a Conda environment with the required Python packages:
conda env create --file=environment/configuration/conda_environment.yml
conda activate lue_tutorialIn case you want / need to use the latest development version of LUE, checkout the develop branch before creating the Conda environment. That branch contains a slightly different conda_environment.yml and possibly updates to the use-case Python code.
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