- update to version .2024.11.0:

- This release brings better support for wrapping JAX arrays and Astropy Quantity objects, :py:meth:`DataTree.persist`, algorithmic improvements:
 - to many methods with dask (:py:meth:`Dataset.polyfit`, :py:meth:`Dataset.ffill`, :py:meth:`Dataset.bfill`, rolling reductions), and bug fixes.:
 - Thanks to the 22 contributors to this release:
 - Benoit Bovy, Deepak Cherian, Dimitri Papadopoulos Orfanos, Holly Mandel, James Bourbeau, Joe Hamman, Justus Magin, Kai Mühlbauer, Lukas Trippe, Mathias Hauser, Maximilian Roos, Michael Niklas, Pascal Bourgault, Patrick Hoefler, Sam Levang, Sarah Charlotte Johnson, Scott Huberty, Stephan Hoyer, Tom Nicholas, Virgile Andreani, joseph nowak and tvo:
 - New Features:
  - Added :py:meth:`DataTree.persist` method (:issue:`9675`, :pull:`9682`).
    By `Sam Levang <https://github.com/slevang>`_.
  - Added ``write_inherited_coords`` option to :py:meth:`DataTree.to_netcdf`
    and :py:meth:`DataTree.to_zarr` (:pull:`9677`).
    By `Stephan Hoyer <https://github.com/shoyer>`_.
  - Support lazy grouping by dask arrays, and allow specifying ordered groups with ``UniqueGrouper(labels=["a", "b", "c"])``
    (:issue:`2852`, :issue:`757`).
    By `Deepak Cherian <https://github.com/dcherian>`_.
  - Add new ``automatic_rechunk`` kwarg to :py:meth:`DataArrayRolling.construct` and
    :py:meth:`DatasetRolling.construct`. This is only useful on ``dask>=2024.11.0``
    (:issue:`9550`). By `Deepak Cherian <https://github.com/dcherian>`_.
  - Optimize ffill, bfill with dask when limit is specified
    (:pull:`9771`).
    By `Joseph Nowak <https://github.com/josephnowak>`_, and
    `Patrick Hoefler <https://github.com/phofl>`_.
  - Allow wrapping ``np.ndarray`` subclasses, e.g. ``astropy.units.Quantity`` (:issue:`9704`, :pull:`9760`).
    By `Sam Levang <https://github.com/slevang>`_ and `Tien Vo <https://github.com/tien-vo>`_.
  - Optimize :py:meth:`DataArray.polyfit` and :py:meth:`Dataset.polyfit` with dask, when used with
    arrays with more than two dimensions.
    (:issue:`5629`). By `Deepak Cherian <https://github.com/dcherian>`_.
  - Support for directly opening remote files as string paths (for example, ``s3://bucket/data.nc``)
    with ``fsspec`` when using the ``h5netcdf`` engine (:issue:`9723`, :pull:`9797`).
    By `James Bourbeau <https://github.com/jrbourbeau>`_.
  - Re-implement the :py:mod:`ufuncs` module, which now dynamically dispatches to the

OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=104

python-xarray.spec

@@ -25,11 +25,11 @@
 %define psuffix %{nil}
 %endif
 
-%define ghversion 2024.07.0
+%define ghversion 2024.11.0
 
 %{?sle15_python_module_pythons}
 Name:           python-xarray%{psuffix}
-Version:        2024.7.0
+Version:        2024.11.0
 Release:        0
 Summary:        N-D labeled arrays and datasets in Python
 License:        Apache-2.0
@@ -38,12 +38,6 @@ Source:         https://github.com/pydata/xarray/archive/refs/tags/v%{ghversion}
 # PATCH-FEATURE-UPSTREAM local_dataset.patch gh#pydata/xarray#5377 mcepl@suse.com
 # fix xr.tutorial.open_dataset to work with the preloaded cache.
 Patch0:         local_dataset.patch
-# PATCH-FIX-UPSTREAM xarray-pr9321-dasktests.patch gh#pydata/xarray#9321
-Patch1:         xarray-pr9321-dasktests.patch
-# PATCH-FIX-UPSTREAM xarray-pr9356-dasktests.patch gh#pydata/xarray#9356
-Patch2:         xarray-pr9356-dasktests.patch
-# PATCH-FIX-UPSTREAM xarray-pr9403-np2.1-scalar.patch gh#pydata/xarray#9403
-Patch3:         xarray-pr9403-np2.1-scalar.patch
 BuildRequires:  %{python_module base >= 3.9}
 BuildRequires:  %{python_module pip}
 BuildRequires:  %{python_module setuptools_scm}
@@ -133,6 +127,8 @@ The [io] extra for xarray, N-D labeled arrays and datasets in Python
 
 
 
+
+
 #%%package parallel
 #Summary:        The python xarray[parallel] extra
 #Requires:       python-dask-complete
@@ -140,6 +136,7 @@ The [io] extra for xarray, N-D labeled arrays and datasets in Python
 #
 #%description parallel
 #The [parallel] extra for xarray, N-D labeled arrays and datasets in Python
+
 %package viz
 Summary:        The python xarray[viz] extra
 Requires:       python-matplotlib