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GRRG - Grid Related Research Group

The grrg bundle is used for data and network analysis of electrical grids. The module makes variants with Python 3.9 and 3.10 available.

Software Version
bandit 1.7.5
black 23.11.0
coincbc 2.10.10
cuda-version 11.8
cupy 12.1.0
cython 3.0.7
datashader 0.16.0
emd 0.6.2
fenics-dolfinx 0.7.2
glpk 5.0
holoviews 1.18.1
jupyter 1.0.0
matplotlib 3.8.2
MFDFA 0.4.3
networkx 3.2.1
numba 0.58.1
numpy 1.26.2
osfclient 0.0.5
pandapower 2.13.1
pandas 2.1.4
plotly 5.18.0
plotnine 0.12.4
pylint 3.0.3
pymgrid 1.2.2
PYPOWER 5.1.16
pypsa 0.26.0
pyre-check 0.9.19
pytables 3.9.2
pytorch 2.1.0
pywavelets 1.4.1
ruff 0.1.8
scalene 1.5.31.1
scikit-learn 1.3.2
scipy 1.11.4
seaborn 0.13.0
spyder 5.5.0
stochastic 0.7.0
sympy 1.12
u8darts-all 0.27.1
umap-learn 0.5.5

Usage example

The default variant uses python 3.10. If this is sufficient the following command executed in the terminal is enough to load the bundle:

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module load grrg

The following example loads the variant with python 3.9

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module load grrg python=3.9

The Spyder IDE, Jupyter-notebook, and Python and IPython can be run as shown as below:

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spyder
jupyter-notebook
ipython
python

The grrg_shell command can be used to access a shell in the grrg bundle.

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grrg_shell

Cloning the GRRG environment

If additional packages are required then the GRRG environment can be cloned to your home. Run the grrg_shell command and run the following commands in the grrg shell:

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conda create --name grrg++ --clone grrg
conda activate grrg++
conda install -q -c conda-forge pyarrow

The name grrg++ can be changed to your needs and pyarrow can be adjusted to your needs. The new environment can be accessed as follows:

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ERN_OVERRIDE_CONDA_ENV="grrg++" ipython

Finally, creating the clone can be scripted using a HERE-DOC in Bash

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grrg_shell <<SCRIPT
. /ern/bin/activate
conda create --name grrg++ --clone grrg
conda activate grrg++
conda install -q -c conda-forge pyarrow
SCRIPT

The environment can be removed as shown below:

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grrg_shell <<SCRIPT
. /ern/bin/activate
conda-env remove -n grrg++
SCRIPT

Performance notes

No performance notes available

No recommended resources available

Benchmarks

No benchmarks available.

Community guides and tutorials

  • No community guides available.

Official site and documentation

  • No official site or documentation.

Licensing information

The bundle does not include any scripts, packages, or other works not already licensed by their respective authors.

Primary citation

External guides and resources

  • If you know of a guide/tutorial that you have found useful, please help us share it by contacting the HPC staff at hpc@ufs.ac.za