Covariances for LSST DESC
Project description
TJPCov
TJPCov is a general covariance calculator interface to be used within LSST DESC.
Installation
TJPCov is now pip installable for convenience, but for development clone the git repository.
There are five different flavors of tjpcov at the moment:
python -m pip install .
will install tjpcov and the minimal dependencies.python -m pip install .\[doc\]
will install tjpcov, the minimal dependencies and the dependencies needed to build the documentation.python -m pip install .\[nmt\]
will install tjpcov, the minimal dependencies and the dependencies needed to use NaMaster.python -m pip install .\[mpi4py\]
will install, the minimal dependencies and the mpi4py library to use MPI parallelization.python -m pip install .\[full\]
will install tjpcov and all dependencies
Note that due to a bug in the NaMaster installation, one needs to make sure
numpy is installed before trying to install NaMaster. If you are doing a fresh
install, run python -m pip install .
first, and then python -m pip install .\[nmt\]
Planning & development
Ask @felipeaoli or @carlosggarcia for access to the repository and join the #desc-mcp-cov channel on the LSST DESC slack to contribute.
We have adopted the following style convention (which are enforced in each PR):
- Google-style docstrings
- Black code style (with 79 characters line-width)
- PEP8 except for E203 (for better compatibility with black)
There are black
and flake8
configuration files so that formatting the code
and checking its PEP8 compliance is a matter of running the following commands
in the root folder:
black .
flake8 .
Furthermore, we are following GitHub's recommendation of using Semantic Versioning in our releases.
For a general idea of TJPCov's scientific scope, see also the terms of reference.
Environment for development
If you are working in conda (miniconda or anaconda) you can create a conda environment named tjpcov with
conda env create --file environment.yml
To activate your new environment use:
conda activate tjpcov
Dependencies and versioning
The latest version TJPCov needs pymaster >= 1.4 . Install it using (after conda activate tjpcov
):
python -m pip install pymaster>=1.4
The code requires ccl>=2.5.0
python -m pip install ccl>=2.5.0
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.