jug_schedule

jug_schedule is a Python library. jug_schedule has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However jug_schedule build file is not available. You can download it from GitLab.

about=====| jug_schedule is a jug _ subcommand that provides automatic deployment to queueing systems.| currently supports sge/ge (grid engine), lsf (ibm lsf), and slurm.this project is currently experimental so bug reports are welcome.requirements------------this project depends on drmaa _ and obviously jug .installation------------install jug_schedule with:: pip install jug-scheduleor from anaconda with:: conda install -c unode jug-scheduleand then simply add the following to your ~/.config/jug/jug_user_commands.py:: try: from jug_schedule.schedule import schedulecommand schedule = schedulecommand() except exception as e: import sys sys.stderr.write("couldn't import schedule, error was {0}\n".format(e))if you are running directly from git you can instead use:: import sys sys.path.insert(0, "/path/to/clone/of/jug_schedule/") try: from jug_schedule.schedule import schedulecommand schedule = schedulecommand() except exception as e: sys.stderr.write("couldn't import schedule, error was {0}\n".format(e)).. note:: if you have never setup drmaa on your environment, check the configuration section below.usage-----if installed properly, running jug should now include a schedule subcommand.running it will try to detect a queueing system and submit jobs to it.jug schedule will only produce warning and errors. use --verbose debug for detailed messages.jug status will behave as usual and is the recommended way to check progress of execution.script^^^^^^if your system requires additional setup for jug to run on remote servers you will need to use the --script