Date: Fri, 29 Mar 2024 15:08:48 +1300 (NZDT)
Message-ID: <1984266434.346.1711678128197@ucwiki3p.linux.canterbury.ac.nz>
Subject: Exported From Confluence
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Please read the readme @ https://github.com/ucgmsim/IM_calculation/blob/master/README.md for =
instructions on how to run the code.
DONE
OUTPUT STRUCTURE
With command : python calculate_ims.py ../BB.bin b -o /home/yzh231/ -i A=
lbury_666_999 -r Albury -t s -v 18p3 -n 112A -m PGV pSA -p 0.02 0.03 -e -c =
geom -np 2
- input file path: ../BB.bin
- b: input file type is binary
- -o: output result csvs location is /home/=
yzh231, default is /home/$user
- -i: unique identifier/runname of the simrun and output=
folder name are Albury_666_999, default is 'all_stat=
ion_ims'. This attribute will be stored in the meta data fil=
e.
- -r: rupture name is Albury, defa=
ult is unknown. This attribute will be stored in the meta data file.
- -t: type of simrun is simulated, default is unknown. This attribute will be stored in the meta d=
ata file.
- -v: version of simrun is v18p3,&n=
bsp;default is XXpY. This attribute will be sto=
red in the meta data file.
- -n: station names used to perform im claculation are
112A, default is all the stations in the binary file
- -m: measures used to perform im calculation are PGV and pSA, default is all the measures
- -p: period of pSA used to perform im calculation are
0.02 0.03, default is Karim's 15 periods
- -e: In addition to the period specified by -p option, =
use extended 100 period of pSA, default not using
- -c: component of waveform acceleration used to perform=
im calculation is geom, default is '090, 000, ver'
- -np: number of processors used to perform im calculati=
on is 2, default is 2
The result is outputted to the following location, where:
- 'Albury_666_999' is the folder that contains all outputs. The folder na=
me 'Albury_666_999' is made of the string specified by the '-i' argument. D=
efault is 'all_station_ims' if not specified.
- 'Albury_666_999.csv' is the summary csv file that contains al=
l stations' im calculations. The summary file name is made of the=
string specified by the '-i' argument.
- 'Albury_666_999_imcalc.info' is the meta data file. The meta data file =
name is made of the string specified by the '-i' argument.
- 'station' is the folder that contains all individual station's im_calcu=
lations. The folder name is defaulted and cannnot be specified by the user.=
- '112A_geom.csv' is the individual csv file that contains geom=
component im calculation for station 112A. Each name of the individua=
l station csv file name is made of station_name + component =
;
TEST FOR CALCUALTE=
_IMS.PY
All the steps below are to be carried out in hypocentre
1.Gene=
rate summary benchmark:
The following steps should only be performed once for each selected bina=
ry file
- Select a source binary file: /nesi/transit/nesi00213/RunFo=
lder/daniel.lagrava/Kelly_VMSI_Kelly-h0p4_EMODv3p0p4_180531/BB/Cant1D_v2-mi=
dQ_leer_hfnp2mm+_rvf0p8_sd50_k0p045/Kelly_HYP01-03_S1244/Acc/BB_with_siteam=
p.bin
- Identify corresponding databse for the selected source binary file=
: /home/nesi00213/RunFolder/wdl16/database_old_pp/database.db<=
/strong>
- Find the script to extract benchmark im value files from the database i=
n step 2: /nesi/projects/nesi00213/dev/impp_datasets/extract_ims.sq=
l
- Create a folder to store benchmark files. eg benchmark_im_sims
- Execute extract_ims.sql in database.db 4 times with specified component=
s. eg: 'ver'
- Export results to benchmark_im_sims/benchmark_im_sim_ver.csv. Clik OK a=
nd don't change anything when 'Export data as csv' window prompts
- Repeat step 4 and 5 with different components: '090', '000', 'geom'
- Now you have 4 summary benchmark files benchmark_im_sim_090/000/ver/geo=
m.csv
2.Generate test input files
Follow the instruction in Binary Workflow FAQ, we can generate single waveform fil=
es. These waveforms are intended for the testing of ascii functionalit=
y of calculate_ims.py. Open a python cell
from qcor=
e.timeseries import BBSeis
bb =3D BBSeis('/nesi/transit/nesi00213/RunFolder/daniel.lagrava/Kelly_VMSI_=
Kelly-h0p4_EMODv3p0p4_180531/BB/Cant1D_v2-midQ_leer_hfnp2mm+_rvf0p8_sd50_k0=
p045/Kelly_HYP01-03_S1244/Acc/BB_with_siteamp.bin')
bb.all2txt(self, prefix=3D'/home/$user/benchmark_im_sim_waveforms/', f=3D'a=
cc'):
Now we have all the waveforms.
3. Create Test Folder=
h4>
- Create The test folder structure follows Testing Standards=
for ucgmsim Git repositories
- Select 10 stations you want to test and cp corresponding waveforms file=
s to the singel_files directory as below
- Copy the source binary file 'BB_with_siteamp.bin' to the input folder=
li>
- Run 'write_benchmark_csv(sample_bench_path)' function inside test_calcu=
late_ims.py to generate 'new_im_sim_benchmark.csv', where 'sample_bench_pat=
h' is the folder we created in 1.4 Generate summary_benchmark: benchmark_im=
_sims. This function should only be run once for each binary file.
NOW you have all the input files ready
4. Run Pytest
Make sure you are currently under the test_calculate_ims folder, run:&nb=
sp;
$ pytes=
t -v -s test_calculate_ims.py
CHECKPOINTING & SPLITTING A BIG SLURM
Responsible scripts
- slurn header template: https://github.com/ucgmsim/slurm_gm_workflow/blob/master=
/templates/slurm_header.cfg
- im_calc_slurm template: https://github.com/ucgmsim/slurm_gm_workflow/b=
lob/master/templates/im_calc_sl.template
- submit_hf.py that generates the slurm files: https://github.com/ucgmsim/slurm_g=
m_workflow/blob/master/scripts/submit_hf.py
- checkpointing functions: https://github.com/ucgmsim/slurm_gm_workflow/blob/mas=
ter/scripts/checkpoint.py
Checkpointing
Checkpointing is needed for IM_calculation due to large job size and lim=
ited running time on Kupe. Therefore, we implemented checkpointing to track=
the current progress of an im_calculation job, and carry on from=
where the job was interrupted by slurm.
Note, the checkpointing code relies on the input/output directory struct=
ure specified in the im_calc_al.template in the checkpoint branch. Failure =
to match the dir structure will result in runtime error. A quick =
fix would be modifying the template to suit your own dir structure.
Example:
(1) Simulation
Input/output structure defined in im_calc_al.template
Actual input data structure:
The input binary file is under:
/nesi/n=
obackup/nesi00213/RunFolder/Cybershake/v18p6_batched/v18p6_1k_under2p0G_ab/=
Runs/BlueMtn/BB/Cant1D_v3-midQ_OneRay_hfnp2mm+_rvf0p8_sd50_k0p045/BlueMtn_H=
YP28-31_S1514/Acc/BB.bin
The output IM_calc folder is under:
(2) Observed
Input/output structure defined in im_calc_al.template
Actual input data structure:
The output IM_calc folder is under:
Splitting a big slurm=
h3>
Splitting a big slurm script into several smaller slurms is needed =
due to the maximum number of lines allowed in a slurm script on Kupe.
Inside submit_imcalc.py The -ml argume=
nt specifies the maximum number of lines of python call to calculate_i=
ms.py/caculate_rrups.py. Header and footer like '#SBATCH --time=3D15:30:00', 'date' etc are NOT&n=
bsp;included.
Say if the max number of lines allowed in a slurm script is 1000, a=
nd your (header + footer) is 30 lines, then the number n t=
hat you pass to -ml should be 0 < n &l=
t;=3D967. eg. -ml 967.
Example:
We have 250 simulation dirs to run, by specifying -ml 100 (100 python ca=
lls to calculate_ims.py per slurm script), we expect 3 sim slurm scrip=
ts to be outputted.(1-100, 100-200, 200-250)
We have 3 observed dirs to run, by specifying -ml 100 (100 python calls =
to calculate_ims.py per slurm script), we expect 1 sim slurm=
scripts to be outputted.
We have 61 rrup files to run, by specifying -ml 100 (100 python calls to=
calcualte_rrups.py per slurm script), we expect 1 sim slurm=
scripts to be outputted.
Command to run checkpointing and splitting:
python=
submit_imcalc.py -obs ~/test_obs/IMCalcExample/ -sim runs/Runs -srf /nesi/=
nobackup/nesi00213/RunFolder/Cybershake/v18p6_batched/v18p6_exclude_1k_batc=
h_6/Data/Sources -ll /scale_akl_nobackup/filesets/transit/nesi00213/Station=
Info/non_uniform_whole_nz_with_real_stations-hh400_v18p6.ll -o ~/rrup_out -=
ml 1000 -e -s -i OtaraWest02_HYP01-21_S1244 Pahiatua_HYP01-26_S1244 -t 24:0=
0:00
Output:
To submit the slurm script:
$cp tes=
t.sl /nesi/nobackup/nesi00213/tmp/auto_preproc=20
$sbatch test.sl
The reason that we have to run 'test.sl' under '/nesi/nobackup/nes=
i00213/tmp/auto_preproc' is otherwise slurm cannot find machine.e=
nv specified by the test.sl script:
TODO
- Creation of semi-automatic slurm generation that will have all the call=
s to produce the results as needed.
- Progress printing statements
- Rrup calculation on a smaller station list - currently when generating =
the slurm script it does the full grid even for stations outside the domain=
Notes
- Extensive re-writing of code needs to have smaller deliverables in the =
future, as this simplifies the integration.
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