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This script will submit /reg/g/psdm/tutorials/batchprocessing/arp_actual.py  and store the log files in .  /reg/g/psdm/tutorials/batchprocessing/arp_actual.py will be passed the parameters as command line arguments and will inherit the EXPERIMENT, RUN_NUM and JID_UPDATE_COUNTERS environment variables.
Log files:
→ If the --output parameter is not specified to sbatch, then SLURM will store the log output in /reg/d/psdm/dia/diadaq13/scratch/<slurm_job_id>.out
→ In the example above, the log output will be sent to to the default working folder for the job; which is the scratch folder but the file name will be generated using the run number and the job id. For example, the log file for run 25 job id 409327. will be send to /reg/d/psdm/dia/diadaq13/scratch/arp_example_25_409327.log
→ To avoid cluttering the scratch folder, one can use an absolute path in the --output command to specify an alternate location for the job log files. See the "filename pattern" in the sbatch man page for more details.

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