Setting up package

Creating a virtual environment

First, create a virtual environment (micromamba is recommended):

# Clone the repository
git clone --recursive https://github.com/cramonal/Calib_ChargeTagger.git
cd Calib_ChargeTagger
# Download the micromamba setup script (change if needed for your machine https://mamba.readthedocs.io/en/latest/installation/micromamba-installation.html)
# Install: (the micromamba directory can end up taking O(1-10GB) so make sure the directory you're using allows that quota)
"${SHELL}" <(curl -L micro.mamba.pm/install.sh)
# You may need to restart your shell
micromamba env create -f environment.yaml
micromamba activate ttbar

Installing package

Remember to install this in your mamba environment.

# Clone the repsitory as above if you haven't already
# Perform an editable installation
pip install -e .
# for committing to the repository
pip install pre-commit
pre-commit install
# Install as well the common HH utilities
cd boostedhh
pip install -e .
cd ..

Troubleshooting

• If your default python in your environment is not Python 3, make sure to use pip3 and python3 commands instead.

• You may also need to upgrade pip to perform the editable installation:

python3 -m pip install -e .

Running coffea processors

Setup

For submitting to condor, all you need is python >= 3.7.

For running locally, follow the same virtual environment setup instructions above and activate the environment.

micromamba activate ttbar

Clone the repository:

git clone --recursive https://github.com/cramonal/Calib_ChargeTagger.git
pip install -e .

Running locally

For testing, e.g.:

python src/run.py --samples TT --subsamples TTto4Q --starti 0 --endi 1 --year 2022 --processor skimmer

Condor jobs

Or from a YAML:

python src/condor/submit.py --yaml src/condor/submit_configs/25Apr5All.yaml --analysis bbtautau --git-branch yourbranch --site lpc --save-sites ucsd lpc --processor skimmer --tag 25Apr5AddVars --year 2022 [--submit]

Checking jobs

e.g.

python boostedhh/condor/check_jobs.py --analysis bbtautau --tag 25Apr24_v12_private_signal --processor skimmer --check-running --year 2022EE