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gwastro/pycbc: Release 1.13.7 of PyCBC

Alex Nitz; Ian Harry; Duncan Brown; Christopher M. Biwer; Josh Willis; Tito Dal Canton; Collin Capano; Larne Pekowsky; Thomas Dent; Andrew R. Williamson; Soumi De; Miriam Cabero; Bernd Machenschalk; Prayush Kumar; Steven Reyes; Duncan Macleod; Thomas Massinger; Gareth Davies; Márton Tápai; dfinstad; Stephen Fairhurst; Sebastian Khan; Alex Nielsen; shasvath; Francesco Pannarale; Leo Singer; Hunter Gabbard; Matt Pitkin; Lorena Magaña Zertuche; Bhooshan Uday Varsha Gadre

This is the 1.13.7 release of PyCBC.

This includes updates to PyCBC Inference to allow use of nested sampling algorithms such as pymultinest and cpnest.

Details of the changes since the 1.13.6 release are at https://github.com/ligo-cbc/pycbc/compare/v1.13.6...v1.13.7

A Docker container for this release is available from the pycbc/pycbc-el7 repository on Docker Hub and can be downloaded using the command:

docker pull pycbc/pycbc-el7:v1.13.7

On a machine with CVMFS installed, a pre-built virtual environment is available for Red Hat 7 compatible operating systems by running the command:

source /cvmfs/oasis.opensciencegrid.org/ligo/sw/pycbc/x86_64_rhel_7/virtualenv/pycbc-v1.13.7/bin/activate

A singularity container is available at /cvmfs/singularity.opensciencegrid.org/pycbc/pycbc-el7:v1.13.7 which can be started with the command: ```sh singularity shell --home ${HOME}:/srv --pwd /srv --bind /cvmfs --contain --ipc --pid /cvmfs/singularity.opensciencegrid.org/pycbc/pycbc-el7\:v1.13.7

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