+ python postprocessing/pyplotgen/pyplotgen.py -l -c lapack_output custom_lu_output bicgstab_output -o 0ccbf4f_solver
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Welcome to PyPlotGen.
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Checking for model benchmark output...
Benchmark output found in /home/jenkins/workspace/clubb_plot_solver_compare/input/les_and_clubb_benchmark_runs/.
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Running...
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NOTE: If processing multiple cases (ARM, BOMEX, etc.) with multithreading,
the total number of panels to be processed may increase as threads complete
and begin processing new cases.
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ARM: SUCCESS --> Images found.
ARM_97: SUCCESS --> Images found.
ATEX: SUCCESS --> Images found.
BOMEX: SUCCESS --> Images found.
CGILS_S11: SUCCESS --> Images found.
CGILS_S12: SUCCESS --> Images found.
CGILS_S6: SUCCESS --> Images found.
DYCOMS2_RF01: SUCCESS --> Images found.
DYCOMS2_RF01_FIXED_SST: SUCCESS --> Images found.
DYCOMS2_RF02_DS: SUCCESS --> Images found.
DYCOMS2_RF02_ND: SUCCESS --> Images found.
GABLS3_NIGHT: SUCCESS --> Images found.
LBA: SUCCESS --> Images found.
MPACE_B: SUCCESS --> Images found.
RICO: SUCCESS --> Images found.
TWP_ICE: SUCCESS --> Images found.
WANGARA: SUCCESS --> Images found.
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Output can be viewed at file:///home/jenkins/workspace/clubb_plot_solver_compare/0ccbf4f_solver/index.html with a web browser
Pyplotgen ran in 94 seconds.
See error.log in the output folder for detailed info including warnings.
error.log messages include:
26-07-21 03:15:35.349 proc_id: 1903981 Warning, unknown model detected. PyPlotgen doesn't know where this netcdf dependent_data is from. <class 'netCDF4._netCDF4.Dataset'>
