Diagnostic failure for recipe_lauer22jclim_fig3-4_zonal.yml on v2.11.0rc1

[chrisbillowsMO]

Describe the bug

This recipe is failing as noted in:

• Recipe test results for ESMValCore v2.11.0rc1 #2421 (comment)

  File "/home/b/b382148/miniforge3/envs/esmvaltool-core2.11.0rc1/lib/python3.11/site-packages/esmvalcore/_main.py",\
 line 413, in run
    self._run(recipe, session)
  File "/home/b/b382148/miniforge3/envs/esmvaltool-core2.11.0rc1/lib/python3.11/site-packages/esmvalcore/_main.py",\
 line 455, in _run
    process_recipe(recipe_file=recipe, session=session)
  File "/home/b/b382148/miniforge3/envs/esmvaltool-core2.11.0rc1/lib/python3.11/site-packages/esmvalcore/_main.py",\
 line 130, in process_recipe
    recipe.run()
  File "/home/b/b382148/miniforge3/envs/esmvaltool-core2.11.0rc1/lib/python3.11/site-packages/esmvalcore/_recipe/re\
cipe.py", line 1095, in run
    self.tasks.run(max_parallel_tasks=self.session['max_parallel_tasks'])
  File "/home/b/b382148/miniforge3/envs/esmvaltool-core2.11.0rc1/lib/python3.11/site-packages/esmvalcore/_task.py",\
 line 736, in run
    self._run_sequential()
  File "/home/b/b382148/miniforge3/envs/esmvaltool-core2.11.0rc1/lib/python3.11/site-packages/esmvalcore/_task.py",\
 line 747, in _run_sequential
    task.run()
  File "/home/b/b382148/miniforge3/envs/esmvaltool-core2.11.0rc1/lib/python3.11/site-packages/esmvalcore/_task.py",\
 line 260, in run
    input_files.extend(task.run())
                       ^^^^^^^^^^
  File "/home/b/b382148/miniforge3/envs/esmvaltool-core2.11.0rc1/lib/python3.11/site-packages/esmvalcore/_task.py",\
 line 264, in run
    self.output_files = self._run(input_files)
                        ^^^^^^^^^^^^^^^^^^^^^^
  File "/home/b/b382148/miniforge3/envs/esmvaltool-core2.11.0rc1/lib/python3.11/site-packages/esmvalcore/preprocess\
or/__init__.py", line 684, in _run
    product.apply(step, self.debug)
  File "/home/b/b382148/miniforge3/envs/esmvaltool-core2.11.0rc1/lib/python3.11/site-packages/esmvalcore/preprocess\
or/__init__.py", line 492, in apply
    self.cubes = preprocess(self.cubes, step,
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/b/b382148/miniforge3/envs/esmvaltool-core2.11.0rc1/lib/python3.11/site-packages/esmvalcore/preprocess\
or/__init__.py", line 401, in preprocess
    result.append(_run_preproc_function(function, item, settings,
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/b/b382148/miniforge3/envs/esmvaltool-core2.11.0rc1/lib/python3.11/site-packages/esmvalcore/preprocess\
or/__init__.py", line 346, in _run_preproc_function
    return function(items, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/b/b382148/miniforge3/envs/esmvaltool-core2.11.0rc1/lib/python3.11/site-packages/esmvalcore/preprocess\
or/_shared.py", line 262, in wrapper
    result = func(data, *args, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/b/b382148/miniforge3/envs/esmvaltool-core2.11.0rc1/lib/python3.11/site-packages/esmvalcore/preprocess\
or/_regrid.py", line 1243, in extract_levels
    cube = _rechunk_aux_factory_dependencies(cube, coordinate)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/b/b382148/miniforge3/envs/esmvaltool-core2.11.0rc1/lib/python3.11/site-packages/esmvalcore/preprocess\
or/_regrid.py", line 1168, in _rechunk_aux_factory_dependencies
    coord.points = coord.lazy_points().rechunk(chunks)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/b/b382148/miniforge3/envs/esmvaltool-core2.11.0rc1/lib/python3.11/site-packages/dask/array/core.py", \
line 2770, in rechunk
    return rechunk(self, chunks, threshold, block_size_limit, balance, method)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/b/b382148/miniforge3/envs/esmvaltool-core2.11.0rc1/lib/python3.11/site-packages/dask/array/rechunk.py\
", line 347, in rechunk
    chunks = normalize_chunks(
             ^^^^^^^^^^^^^^^^^
  File "/home/b/b382148/miniforge3/envs/esmvaltool-core2.11.0rc1/lib/python3.11/site-packages/dask/array/core.py", \
line 3075, in normalize_chunks
    raise ValueError(
ValueError: Chunks and shape must be of the same length/dimension. Got chunks=(), shape=(1,)

[ehogan]

@chrisbillowsMO and I identified the problem was coming from the _rechunk_aux_factory_dependencies function, specifically that, in one case within this recipe, coord_dims was () rather than None, so the if loop was being entered when it shouldn't have been. Fixed in #2428.