Open JanStreffing opened 4 weeks ago
On branch: https://github.com/FESOM/fdiag/tree/feat/prep_for_2.6 in script https://github.com/FESOM/fdiag/blob/feat/prep_for_2.6/workflows/prep_fesom2.6/reference_vs_remove_PARMS.yml
ocean_integrals: Global Ocean: temp: uplows: [[0, 100]]
results in:
!!! Performing ocean_integrals !!! Passed unknown parameter: workflow_name Passed unknown parameter: climatology_path Passed unknown parameter: climatology_year Passed unknown parameter: columns Passed unknown parameter: bbox Passed unknown parameter: res Passed unknown parameter: mapproj Passed unknown parameter: figsize_small Passed unknown parameter: start_year Passed unknown parameter: end_year Passed unknown parameter: start_year_short Passed unknown parameter: end_year_short Passed unknown parameter: years_short Passed unknown parameter: workflow_settings Passed unknown parameter: ofolder_notebooks Passed unknown parameter: ofolder_figures Passed unknown parameter: uplows Executing: 58%|██████████████████████████████████████████████████████████████▍ | 7/12 [03:55<02:48, 33.69s/cell] Traceback (most recent call last): File "/work/ab0246/a270092/software/miniconda3/envs/fdiag/bin/fdiag", line 33, in <module> sys.exit(load_entry_point('fdiag', 'console_scripts', 'fdiag')()) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/work/ab0246/a270092/software/fdiag/fdiag/fdiag.py", line 242, in fdiag webpage = analyses[analysis](settings, analysis) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/work/ab0246/a270092/software/fdiag/fdiag/drivers.py", line 278, in drive_ocean_integrals pm.execute_notebook( File "/work/ab0246/a270092/software/miniconda3/envs/fdiag/lib/python3.12/site-packages/papermill/execute.py", line 131, in execute_notebook raise_for_execution_errors(nb, output_path) File "/work/ab0246/a270092/software/miniconda3/envs/fdiag/lib/python3.12/site-packages/papermill/execute.py", line 251, in raise_for_execution_errors raise error papermill.exceptions.PapermillExecutionError: --------------------------------------------------------------------------- Exception encountered at "In [7]": --------------------------------------------------------------------------- IndexError Traceback (most recent call last) Cell In[7], line 5 3 for key, value in ocean_int.items(): 4 at_level[key] = {} ----> 5 at_level[key]['data'] = pf.volmean_data(value['data'], mesh, [uplow[0], uplow[1]], mask=mask ) File /work/ab0246/a270092/software/miniconda3/envs/fdiag/lib/python3.12/site-packages/pyfesom2/diagnostics.py:341, in volmean_data(data, mesh, uplow, meshdiag, runid, mask) 339 if mask is not None: 340 nod_area = nod_area[:, mask] --> 341 data = data[:, mask, :] 343 for i in indexes: 344 nod_area_at_level = np.ma.masked_equal(nod_area[i, :].data, 0) File /work/ab0246/a270092/software/miniconda3/envs/fdiag/lib/python3.12/site-packages/xarray/core/dataarray.py:876, in DataArray.__getitem__(self, key) 873 return self._getitem_coord(key) 874 else: 875 # xarray-style array indexing --> 876 return self.isel(indexers=self._item_key_to_dict(key)) File /work/ab0246/a270092/software/miniconda3/envs/fdiag/lib/python3.12/site-packages/xarray/core/dataarray.py:1509, in DataArray.isel(self, indexers, drop, missing_dims, **indexers_kwargs) 1504 return self._from_temp_dataset(ds) 1506 # Much faster algorithm for when all indexers are ints, slices, one-dimensional 1507 # lists, or zero or one-dimensional np.ndarray's -> 1509 variable = self._variable.isel(indexers, missing_dims=missing_dims) 1510 indexes, index_variables = isel_indexes(self.xindexes, indexers) 1512 coords = {} File /work/ab0246/a270092/software/miniconda3/envs/fdiag/lib/python3.12/site-packages/xarray/core/variable.py:1033, in Variable.isel(self, indexers, missing_dims, **indexers_kwargs) 1030 indexers = drop_dims_from_indexers(indexers, self.dims, missing_dims) 1032 key = tuple(indexers.get(dim, slice(None)) for dim in self.dims) -> 1033 return self[key] File /work/ab0246/a270092/software/miniconda3/envs/fdiag/lib/python3.12/site-packages/xarray/core/variable.py:797, in Variable.__getitem__(self, key) 784 def __getitem__(self, key) -> Self: 785 """Return a new Variable object whose contents are consistent with 786 getting the provided key from the underlying data. 787 (...) 795 array `x.values` directly. 796 """ --> 797 dims, indexer, new_order = self._broadcast_indexes(key) 798 indexable = as_indexable(self._data) 800 data = indexing.apply_indexer(indexable, indexer) File /work/ab0246/a270092/software/miniconda3/envs/fdiag/lib/python3.12/site-packages/xarray/core/variable.py:637, in Variable._broadcast_indexes(self, key) 634 if all(isinstance(k, BASIC_INDEXING_TYPES) for k in key): 635 return self._broadcast_indexes_basic(key) --> 637 self._validate_indexers(key) 638 # Detect it can be mapped as an outer indexer 639 # If all key is unlabeled, or 640 # key can be mapped as an OuterIndexer. 641 if all(not isinstance(k, Variable) for k in key): File /work/ab0246/a270092/software/miniconda3/envs/fdiag/lib/python3.12/site-packages/xarray/core/variable.py:679, in Variable._validate_indexers(self, key) 677 if k.dtype.kind == "b": 678 if self.shape[self.get_axis_num(dim)] != len(k): --> 679 raise IndexError( 680 f"Boolean array size {len(k):d} is used to index array " 681 f"with shape {str(self.shape):s}." 682 ) 683 if k.ndim > 1: 684 raise IndexError( 685 f"{k.ndim}-dimensional boolean indexing is " 686 "not supported. " 687 ) IndexError: Boolean array size 126858 is used to index array with shape (61, 47, 126858).
On branch: https://github.com/FESOM/fdiag/tree/feat/prep_for_2.6 in script https://github.com/FESOM/fdiag/blob/feat/prep_for_2.6/workflows/prep_fesom2.6/reference_vs_remove_PARMS.yml
results in: