Installation

rail_pz_service requires rail, and at least some of the RAIL algorithms to be installs.

Some of the RAIL algorithms have dependencies that are sensitive to out-of-date code versions, therefore it is strongly recommended that you create a new dedicated virtual environment for RAIL to avoid problems with pip/conda failing to update some packages that you have previously installed during installation of RAIL. Also, having multiple version of RAIL in your path can cause difficult to diagnose problems, so we encourage you to make sure that you don’t have an existing version of RAIL installed in your .local area or in your base conda environment.

Production Installation

Here we will be installing rail_pz_service into an existing conda environment “[env]”.

conda activate [env]
pip install pz-rail-projects

Developer Installation

Here we will be installing the source code from rail to be able to develop the source code.

conda activate [env]
git clone https://github.com/LSSTDESC/rail_pz_service.git
cd rail_pz_service
pip install -e .[dev]

conda activate [env]
git clone https://github.com/LSSTDESC/rail_pz_service.git
cd rail_pz_service
pip install -e '.[dev]'

RAIL packages

Depending on how you want to use RAIL you will be installing one or more RAIL packages