The repository is dedicated to study of knowledge distillation techniques for L1 trigger usage
To set up and run snakemake do
pip install snakemake
snakemake -c1 {rule_name}
where -c1 specifies number of cores provided (one in this case).
It became required to specify it in the latest versions of snakemake,
so to make life easier you can add
alias snakemake="snakemake -c1" to your bash/zsch/whatever profile
and afterwards simply run snakemake {rule_name}.
If you want to run a rule, but Snakemake tells you Nothing to be done, use -f
to force it. Use -F to also force all the upstream rules to be re-run.
Good thing to do before running (only has to be done once) is to create
an output/ directory that is a symbolic link to your eos space (or
wherever you have a lot of available space), to be able to store all the data.
ln -s {your-eos-path-to-output} output/