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//ligo/sw/pycbc/x86_64_rhel_7/virtualenv/pycbc-v1.15.0/bin/activateĪ singularity container is available at /cvmfs//pycbc/pycbc-el7:v1.15.0 which can be started with the command: singularity shell -home $:/srv -pwd /srv -bind /cvmfs -contain -ipc -pid /cvmfs//pycbc/pycbc-el7\:v1.15.
Undoubtedly there will be more patching required before this is true everywhere, please let us know of any problems encountered.Ī 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:v1.15.0 However, other parts of the code base should now work correctly. If you have a wireless IP camera or a wireless IP camera system, and the IP camera WiFi is not connecting or the IP camera keeps going offline no matter if it's outdoor or indoor, you can try the top 9 workable solutions to fix the issue. At the moment the P圜BC inference package is still not expected to work in python3. Top 9 Tips to Fix Your IP Camera WiFi Not Working or Not Connecting. With the removal of this package (not available in python3) the python3 compatibility of P圜BC is much improved.
This release marks the removal of the weave package from P圜BC.
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