minopyApp.py using wrong numBursts

[falkamelung]

As you can see below, the numBursts do not seem right. They differ from 0 to 4. Also, this information should be written to BristolDryLakeSenDT173/log instead of BristolDryLakeSenDT173/minopy/log.

So for now we use a fractional burst number (e.g. 0.3) depending on the size of area processed?

cat BristolDryLakeSenDT173/minopy.log
20220315:134439 * minopyApp.py /work2/05861/tg851601/stampede2/insarlab/infiles/famelung/TEMPLATES/BristolDryLakeSenDT173.template --dir minopy --jobfiles --tmp
20220315:134500 * job_submission.py --template /work2/05861/tg851601/stampede2/insarlab/infiles/famelung/TEMPLATES/BristolDryLakeSenDT173.template /scratch/05861/tg851601/BristolDryLakeSenDT173/minopy/run_files/run_01_minopy_load_data --outdir /scratch/05861/tg851601/BristolDryLakeSenDT173/minopy/run_files --numBursts 1 --writeonly --tmp
20220315:134500 * job_submission.py --template /work2/05861/tg851601/stampede2/insarlab/infiles/famelung/TEMPLATES/BristolDryLakeSenDT173.template /scratch/05861/tg851601/BristolDryLakeSenDT173/minopy/run_files/run_02_minopy_phase_linking --outdir /scratch/05861/tg851601/BristolDryLakeSenDT173/minopy/run_files --numBursts 1 --writeonly --tmp --distribute /scratch/05861/tg851601/BristolDryLakeSenDT173/minopy/inputs/slcStack.h5
20220315:134501 * job_submission.py --template /work2/05861/tg851601/stampede2/insarlab/infiles/famelung/TEMPLATES/BristolDryLakeSenDT173.template /scratch/05861/tg851601/BristolDryLakeSenDT173/minopy/run_files/run_03_minopy_concatenate_patch --outdir /scratch/05861/tg851601/BristolDryLakeSenDT173/minopy/run_files --numBursts 1 --writeonly --tmp --distribute /scratch/05861/tg851601/BristolDryLakeSenDT173/minopy/inputs/slcStack.h5
20220315:134501 * job_submission.py --template /work2/05861/tg851601/stampede2/insarlab/infiles/famelung/TEMPLATES/BristolDryLakeSenDT173.template /scratch/05861/tg851601/BristolDryLakeSenDT173/minopy/run_files/run_04_minopy_generate_ifgram --outdir /scratch/05861/tg851601/BristolDryLakeSenDT173/minopy/run_files --numBursts 0 --writeonly --tmp --distribute /scratch/05861/tg851601/BristolDryLakeSenDT173/minopy/inverted/phase_series.h5
20220315:134501 * job_submission.py --template /work2/05861/tg851601/stampede2/insarlab/infiles/famelung/TEMPLATES/BristolDryLakeSenDT173.template /scratch/05861/tg851601/BristolDryLakeSenDT173/minopy/run_files/run_05_minopy_unwrap_ifgram --outdir /scratch/05861/tg851601/BristolDryLakeSenDT173/minopy/run_files --numBursts 4 --writeonly --tmp
20220315:134501 * job_submission.py --template /work2/05861/tg851601/stampede2/insarlab/infiles/famelung/TEMPLATES/BristolDryLakeSenDT173.template /scratch/05861/tg851601/BristolDryLakeSenDT173/minopy/run_files/run_06_minopy_load_ifgram --outdir /scratch/05861/tg851601/BristolDryLakeSenDT173/minopy/run_files --numBursts 1 --writeonly --tmp
20220315:134501 * job_submission.py --template /work2/05861/tg851601/stampede2/insarlab/infiles/famelung/TEMPLATES/BristolDryLakeSenDT173.template /scratch/05861/tg851601/BristolDryLakeSenDT173/minopy/run_files/run_07_mintpy_ifgram_correction --outdir /scratch/05861/tg851601/BristolDryLakeSenDT173/minopy/run_files --numBursts 1 --writeonly --tmp
20220315:134501 * job_submission.py --template /work2/05861/tg851601/stampede2/insarlab/infiles/famelung/TEMPLATES/BristolDryLakeSenDT173.template /scratch/05861/tg851601/BristolDryLakeSenDT173/minopy/run_files/run_08_minopy_invert_network --outdir /scratch/05861/tg851601/BristolDryLakeSenDT173/minopy/run_files --numBursts 1 --writeonly --tmp
20220315:134501 * job_submission.py --template /work2/05861/tg851601/stampede2/insarlab/infiles/famelung/TEMPLATES/BristolDryLakeSenDT173.template /scratch/05861/tg851601/BristolDryLakeSenDT173/minopy/run_files/run_09_mintpy_timeseries_correction --outdir /scratch/05861/tg851601/BristolDryLakeSenDT173/minopy/run_files --numBursts 1 --writeonly --tmp

[mirzaees]

This is not actually the number of bursts, but since job_submission.py has only this parameter for adjusting walltimes, we use it for different steps of minopy. So the solution is first to work on job_submission.py and use another option instead of number of bursts or rename it.