Installation

User Installation

lstcam-calib is on PyPI, install using:

$ pip install lstcam-calib

Developer Setup

This repository stores test data using git LFS.

Install it using your package manager or by downloading from the website.

Then run:

$ git lfs install

This is only required once per machine / user.

If you cloned the repository before setting up git LFS correctly, you need to run

$ git lfs pull

in the cloned repository after installing git LFS.

Using conda

Using the miniforge3 distribution and mamba is recommended.

Clone the repository, create the conda environment, then install the package in development mode:

$ git clone git@gitlab.cta-observatory.org:cta-array-elements/lst/analysis/lstcam_calib
$ cd lstcam_calib
$ mamba env create -f environment-dev.yaml
$ mamba activate lstcam-calib-dev
$ pip install -e '.[all]'

Using virtual environments

Make sure you have at least python 3.10, you can use pyenv to install and use specific python versions.

As a developer, clone the repository, create a virtual environment and then install the package in development mode:

$ git clone git@gitlab.cta-observatory.org:cta-array-elements/lst/analysis/lstcam_calib
$ cd lstcam_calib
$ python -m venv venv
$ source venv/bin/activate
$ pip install -e '.[all]'

The same also works with conda, create and activate a conda env instead of a venv above.