temporarily silence shape assignment warnings raised in netCDF4 (#11146)

* use an explicit slice instead of ellipses

* [run-upstream]

* [test-upstream]

* typo

* back to ellipsis assignment

* ignore the shape assignment warning raised for netcdf4

* ignore in the other files using netcdf, as well

Author: keewis

pyproject.toml

@@ -344,6 +344,10 @@ filterwarnings = [
   # Zarr V3 data type specifications warnings - very repetitive
   "ignore:The data type .* does not have a Zarr V3 specification",
   "ignore:Consolidated metadata is currently not part",
+  # raised by `numpy` for code in `netcdf4-python`
+  "ignore:Setting the shape on a NumPy array has been deprecated in NumPy 2.5.::xarray.backends.netCDF4_",
+  "ignore:Setting the shape on a NumPy array has been deprecated in NumPy 2.5.::xarray.tests.test_backends",
+  "ignore:Setting the shape on a NumPy array has been deprecated in NumPy 2.5.::xarray.tests.test_backends_datatree",
   # TODO: remove once we know how to deal with a changed signature in protocols
   "default:::xarray.tests.test_strategies",
 ]

xarray/tests/test_backends.py

@@ -7229,7 +7229,7 @@ def test_open_dataset_chunking_zarr(chunks, tmp_path: Path) -> None:
     "chunks", ["auto", -1, {}, {"x": "auto"}, {"x": -1}, {"x": "auto", "y": -1}]
 )
 @pytest.mark.filterwarnings("ignore:The specified chunks separate")
-def test_chunking_consintency(chunks, tmp_path: Path) -> None:
+def test_chunking_consistency(chunks, tmp_path: Path) -> None:
     encoded_chunks: dict[str, Any] = {}
     dask_arr = da.from_array(
         np.ones((500, 500), dtype="float64"), chunks=encoded_chunks