A Python package for the analysis of correlations of light curves and their statistical significance.
- Install Anaconda
- Clone this repository
- Run the commands
conda env create -f environment.yml
conda activate mutis
pip install .
Or pip install -e . if you want to install it in developer mode.
You are welcome to use and contribute to MUTIS! You can create a fork and do a PR from there. Before you do so, we suggest that you install nbstripout (conda install -c conda-forge nbstripout) and add the following lines to your repo configuration:
In file .git/info/attributes add:
*.ipynb filter=nbstripout
*.zpln filter=nbstripout
*.ipynb diff=ipynb
In file .git/config add:
[filter "nbstripout"]
clean = nbstripout
smudge = cat
extrakeys = metadata.kernelspec
[diff "ipynb"]
textconv = nbstripout -t
Now git will not show cell output in diffs, and will not include cell output to commits; it will make working with the notebooks much easier.
These filters won't modify or clear the files, they will only be visible to git. If you want to clear the files also, you can use nbstripout docs/recipes/*.ipynb --extra-keys "metadata.kernelspec".
