Merge branch 'main' into groupby-save-codes-new

.pre-commit-config.yaml

@@ -16,7 +16,7 @@ repos:
         files: ^xarray/
   - repo: https://github.com/charliermarsh/ruff-pre-commit
     # Ruff version.
-    rev: 'v0.0.248'
+    rev: 'v0.0.253'
     hooks:
       - id: ruff
         args: ["--fix"]

xarray/backends/zarr.py

@@ -207,7 +207,7 @@ def _get_zarr_dims_and_attrs(zarr_obj, dimension_key, try_nczarr):
                 "which are required for xarray to determine variable dimensions."
             ) from e
 
-    nc_attrs = [attr for attr in zarr_obj.attrs if attr.startswith("_NC")]
+    nc_attrs = [attr for attr in zarr_obj.attrs if attr.lower().startswith("_nc")]
     attributes = HiddenKeyDict(zarr_obj.attrs, [dimension_key] + nc_attrs)
     return dimensions, attributes
 
@@ -495,7 +495,7 @@ def get_attrs(self):
         return {
             k: v
             for k, v in self.zarr_group.attrs.asdict().items()
-            if not k.startswith("_NC")
+            if not k.lower().startswith("_nc")
         }
 
     def get_dimensions(self):

xarray/core/types.py

@@ -7,7 +7,6 @@
     Any,
     Callable,
     Literal,
-    Protocol,
     SupportsIndex,
     TypeVar,
     Union,
@@ -18,6 +17,7 @@
 from packaging.version import Version
 
 if TYPE_CHECKING:
+    from numpy._typing import _SupportsDType
     from numpy.typing import ArrayLike
 
     from xarray.backends.common import BackendEntrypoint
@@ -50,19 +50,12 @@
     _ShapeLike = Union[SupportsIndex, Sequence[SupportsIndex]]
     _DTypeLikeNested = Any  # TODO: wait for support for recursive types
 
-    # once NumPy 1.21 is minimum version, use NumPys definition directly
-    # 1.20 uses a non-generic Protocol (like we define here for simplicity)
-    class _SupportsDType(Protocol):
-        @property
-        def dtype(self) -> np.dtype:
-            ...
-
     # Xarray requires a Mapping[Hashable, dtype] in many places which
     # conflics with numpys own DTypeLike (with dtypes for fields).
     # https://numpy.org/devdocs/reference/typing.html#numpy.typing.DTypeLike
     # This is a copy of this DTypeLike that allows only non-Mapping dtypes.
     DTypeLikeSave = Union[
-        np.dtype,
+        np.dtype[Any],
         # default data type (float64)
         None,
         # array-scalar types and generic types
@@ -78,7 +71,7 @@ def dtype(self) -> np.dtype:
         # because numpy does the same?
         list[Any],
         # anything with a dtype attribute
-        _SupportsDType,
+        _SupportsDType[np.dtype[Any]],
     ]
     try:
         from cftime import datetime as CFTimeDatetime

xarray/tests/test_backends.py

@@ -5663,12 +5663,14 @@ def test_write_file_from_np_str(str_type, tmpdir) -> None:
 @requires_zarr
 @requires_netCDF4
 class TestNCZarr:
-    @staticmethod
-    def _create_nczarr(filename):
-        netcdfc_version = Version(nc4.getlibversion().split()[0])
-        if netcdfc_version < Version("4.8.1"):
+    @property
+    def netcdfc_version(self):
+        return Version(nc4.getlibversion().split()[0])
+
+    def _create_nczarr(self, filename):
+        if self.netcdfc_version < Version("4.8.1"):
             pytest.skip("requires netcdf-c>=4.8.1")
-        if (platform.system() == "Windows") and (netcdfc_version == Version("4.8.1")):
+        if platform.system() == "Windows" and self.netcdfc_version == Version("4.8.1"):
             # Bug in netcdf-c==4.8.1 (typo: Nan instead of NaN)
             # https://github.com/Unidata/netcdf-c/issues/2265
             pytest.skip("netcdf-c==4.8.1 has issues on Windows")
@@ -5678,9 +5680,7 @@ def _create_nczarr(filename):
         # https://github.com/Unidata/netcdf-c/issues/2259
         ds = ds.drop_vars("dim3")
 
-        # netcdf-c>4.8.1 will add _ARRAY_DIMENSIONS by default
-        mode = "nczarr" if netcdfc_version == Version("4.8.1") else "nczarr,noxarray"
-        ds.to_netcdf(f"file://{filename}#mode={mode}")
+        ds.to_netcdf(f"file://{filename}#mode=nczarr")
         return ds
 
     def test_open_nczarr(self) -> None:
@@ -5700,6 +5700,9 @@ def test_overwriting_nczarr(self) -> None:
     @pytest.mark.parametrize("mode", ["a", "r+"])
     @pytest.mark.filterwarnings("ignore:.*non-consolidated metadata.*")
     def test_raise_writing_to_nczarr(self, mode) -> None:
+        if self.netcdfc_version > Version("4.8.1"):
+            pytest.skip("netcdf-c>4.8.1 adds the _ARRAY_DIMENSIONS attribute")
+
         with create_tmp_file(suffix=".zarr") as tmp:
             ds = self._create_nczarr(tmp)
             with pytest.raises(