Description
What happened?
Following #9014, open_datatree
no longer passes on backend-specific keyword arguments. For instance, I have a few HDF5 datasets with unassociated dimension scales, and those require phony_dims='sort'
or phony_dims='access'
to be opened. Now, the keyword arguments are passed onto StoreBackendEntrypoint.open_dataset
instead of H5netcdfBackendEntrypoint.open_dataset
which results in a TypeError.
What did you expect to happen?
open_datatree
methods of backends should pass backend-specific keyword arguments to H5NetCDFStore.open
or the like.
Minimal Complete Verifiable Example
import h5py
from xarray.backends.api import open_datatree
file = h5py.File("./test.h5", "w")
data = file.create_dataset("dataset", shape=(10, 20, 30), dtype="float32")
file.close()
try:
open_datatree("./test.h5") # this is normal
except ValueError as e:
print(e, "\n")
# variable '/dataset' has no dimension scale associated with axis 0.
# Use phony_dims='sort' for sorted naming or phony_dims='access' for per access naming.
try:
open_datatree("./test.h5", phony_dims="sort") # used to work, now raises TypeError
except TypeError as e:
print(e)
# StoreBackendEntrypoint.open_dataset() got an unexpected keyword argument 'phony_dims'
MVCE confirmation
- Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
- Complete example — the example is self-contained, including all data and the text of any traceback.
- Verifiable example — the example copy & pastes into an IPython prompt or Binder notebook, returning the result.
- New issue — a search of GitHub Issues suggests this is not a duplicate.
- Recent environment — the issue occurs with the latest version of xarray and its dependencies.
Relevant log output
No response
Anything else we need to know?
No response
Environment
INSTALLED VERSIONS
commit: None
python: 3.12.4 | packaged by conda-forge | (main, Jun 17 2024, 10:13:44) [Clang 16.0.6 ]
python-bits: 64
OS: Darwin
OS-release: 23.5.0
machine: arm64
processor: arm
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.14.3
libnetcdf: None
xarray: 2024.6.0
pandas: 2.2.2
numpy: 2.0.0
scipy: None
netCDF4: None
pydap: None
h5netcdf: 1.3.0
h5py: 3.11.0
zarr: None
cftime: None
nc_time_axis: None
iris: None
bottleneck: None
dask: None
distributed: None
matplotlib: None
cartopy: None
seaborn: None
numbagg: None
fsspec: None
cupy: None
pint: None
sparse: None
flox: None
numpy_groupies: None
setuptools: 70.0.0
pip: 24.0
conda: None
pytest: None
mypy: None
IPython: None
sphinx: None
None