++ cat cur_out/commit
+ python postprocessing/pyplotgen/pyplotgen.py -l -c cpu_37da5d2 cur_out/cpu_ff0eeed -o 37da5d2_vs_master_ff0eeed
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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_ifort_debug/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.
ASTEX_A209: 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.
CLEX9_NOV02: SUCCESS --> Images found.
CLEX9_OCT14: SUCCESS --> Images found.
DYCOMS2_RF01: SUCCESS --> Images found.
DYCOMS2_RF01_FIXED_SST: SUCCESS --> Images found.
DYCOMS2_RF02_DO: SUCCESS --> Images found.
DYCOMS2_RF02_DS: SUCCESS --> Images found.
DYCOMS2_RF02_ND: SUCCESS --> Images found.
DYCOMS2_RF02_SO: SUCCESS --> Images found.
FIRE: SUCCESS --> Images found.
GABLS2: SUCCESS --> Images found.
GABLS2_NIGHTLY: SUCCESS --> Images found.
GABLS3: SUCCESS --> Images found.
GABLS3_NIGHT: SUCCESS --> Images found.
JUN25_ALTOCU: SUCCESS --> Images found.
LBA: SUCCESS --> Images found.
MC3E: SUCCESS --> Images found.
MPACE_A: SUCCESS --> Images found.
MPACE_B: SUCCESS --> Images found.
MPACE_B_SILHS: SUCCESS --> Images found.
NOV11_ALTOCU: SUCCESS --> Images found.
RICO: SUCCESS --> Images found.
RICO_SILHS: 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_ifort_debug/37da5d2_vs_master_ff0eeed/index.html with a web browser
Pyplotgen ran in 89 seconds.
See error.log in the output folder for detailed info including warnings.
error.log messages include:
26-09-16 04:44:08.393 proc_id: 155116 Warning, unknown model detected. PyPlotgen doesn't know where this netcdf dependent_data is from. <class 'netCDF4._netCDF4.Dataset'>
