CaSR_basic.ipynb: fix output to avoid breaking Jenkins

[tlvu]

Add # NBVAL_IGNORE_OUTPUT to pass Jenkins. I think it's probably due to the usage of clear_output(). However removing clear_output() will make the output very long and messy. Have to take the lesser of the 2 evils.

New notebook introduced by #320.

Fix this error:

[2024-03-16T00:52:45.909Z] _______ pavics-sdi-master/docs/source/notebooks/CaSR_basic.ipynb::Cell 2 _______
[2024-03-16T00:52:45.909Z] [91mNotebook cell execution failed[0m
[2024-03-16T00:52:45.909Z] [94mCell 2: Cell outputs differ
[2024-03-16T00:52:45.909Z]
[2024-03-16T00:52:45.909Z] Input:
[2024-03-16T00:52:45.909Z] [0mimport logging
[2024-03-16T00:52:45.909Z]
[2024-03-16T00:52:45.909Z] from dask.distributed import Client
[2024-03-16T00:52:45.909Z] from IPython.display import clear_output
[2024-03-16T00:52:45.909Z]
[2024-03-16T00:52:45.909Z] # For hourly data, we suggest using the following chunking pattern: dict(time=720, rlon=50, rlat=50)
[2024-03-16T00:52:45.909Z] # Compute 10-year precipitation means. This is a lazy operation, no computations are done at this point.
[2024-03-16T00:52:45.909Z] pr10y = bbox.pr.resample(time="10YS").mean(dim="time", keep_attrs=True)
[2024-03-16T00:52:45.909Z]
[2024-03-16T00:52:45.909Z] # Options for dask workers
[2024-03-16T00:52:45.909Z] dask_kwargs = dict(
[2024-03-16T00:52:45.909Z]     n_workers=8,
[2024-03-16T00:52:45.909Z]     threads_per_worker=6,
[2024-03-16T00:52:45.909Z]     memory_limit="2.5GB",
[2024-03-16T00:52:45.909Z]     local_directory="/notebook_dir/writable-workspace/tmp",
[2024-03-16T00:52:45.909Z]     silence_logs=logging.ERROR,
[2024-03-16T00:52:45.909Z] )
[2024-03-16T00:52:45.909Z]
[2024-03-16T00:52:45.909Z] # Actually perform the computation
[2024-03-16T00:52:45.909Z] with Client(**dask_kwargs) as c:
[2024-03-16T00:52:45.909Z]     clear_output()
[2024-03-16T00:52:45.909Z]     # Just taking the first 10-year average to speed things up
[2024-03-16T00:52:45.909Z]     pr10y = pr10y.isel(time=0).compute()
[2024-03-16T00:52:45.909Z] clear_output()
[2024-03-16T00:52:45.909Z] pr10y.plot()
[2024-03-16T00:52:45.909Z]
[2024-03-16T00:52:45.909Z] [94mTraceback:[0m
[2024-03-16T00:52:45.909Z] [91mUnexpected output fields from running code: {'stderr'}[0m
[2024-03-16T00:52:45.909Z]
[2024-03-16T00:52:45.909Z] ----------------------------- Captured stdout call -----------------------------
[2024-03-16T00:52:45.909Z] unhandled iopub msg: clear_output
[2024-03-16T00:52:45.909Z] unhandled iopub msg: clear_output
[2024-03-16T00:52:45.909Z] _______ pavics-sdi-master/docs/source/notebooks/CaSR_basic.ipynb::Cell 3 _______
[2024-03-16T00:52:45.909Z] [91mNotebook cell execution failed[0m
[2024-03-16T00:52:45.909Z] [94mCell 3: Cell outputs differ
[2024-03-16T00:52:45.909Z]
[2024-03-16T00:52:45.909Z] Input:
[2024-03-16T00:52:45.909Z] [0mfrom xclim import atmos
[2024-03-16T00:52:45.909Z]
[2024-03-16T00:52:45.909Z] # Compute heat index using xclim and find the annual maxima.
[2024-03-16T00:52:45.909Z] with Client(**dask_kwargs) as c:
[2024-03-16T00:52:45.909Z]     clear_output()
[2024-03-16T00:52:45.909Z]     hi_max = atmos.heat_index(ds=site).resample(time="Y").max()
[2024-03-16T00:52:45.909Z] clear_output()
[2024-03-16T00:52:45.909Z]
[2024-03-16T00:52:45.909Z] # Plot the results
[2024-03-16T00:52:45.909Z] hi_max.plot()
[2024-03-16T00:52:45.909Z]
[2024-03-16T00:52:45.909Z] [94mTraceback:[0m
[2024-03-16T00:52:45.909Z] [91mUnexpected output fields from running code: {'stderr'}[0m
[2024-03-16T00:52:45.909Z]
[2024-03-16T00:52:45.909Z] ----------------------------- Captured stdout call -----------------------------
[2024-03-16T00:52:45.909Z] unhandled iopub msg: clear_output
[2024-03-16T00:52:45.909Z] unhandled iopub msg: clear_output

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[tlvu]

Finally have to add # NBVAL_IGNORE_OUTPUT to pass Jenkins. I think it's probably due to the usage of clear_output(). However removing clear_output() will make the output very long and messy. Have to take the lesser of the 2 evils.