Hello community,

here is the log from the commit of package python-xarray for openSUSE:Factory 
checked in at 2018-05-29 10:34:57
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python-xarray (Old)
 and      /work/SRC/openSUSE:Factory/.python-xarray.new (New)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Package is "python-xarray"

Tue May 29 10:34:57 2018 rev:2 rq:610879 version:0.10.4

Changes:
--------
--- /work/SRC/openSUSE:Factory/python-xarray/python-xarray.changes      
2018-04-24 15:31:28.397817264 +0200
+++ /work/SRC/openSUSE:Factory/.python-xarray.new/python-xarray.changes 
2018-05-29 10:35:05.386265288 +0200
@@ -1,0 +2,90 @@
+Mon May 21 04:03:17 UTC 2018 - a...@gmx.de
+
+- update to version 0.10.4:
+  * Documentation
+    + New FAQ entry, What other projects leverage xarray?. By Deepak
+      Cherian.
+    + Assigning values with indexing now includes examples on how to
+      select and assign values to a DataArray with .loc. By Chiara
+      Lepore.
+  * Enhancements
+    + Add an option for using a CFTimeIndex for indexing times with
+      non-standard calendars and/or outside the Timestamp-valid range;
+      this index enables a subset of the functionality of a standard
+      pandas.DatetimeIndex. See Non-standard calendars and dates
+      outside the Timestamp-valid range for full details. (GH789,
+      GH1084, GH1252) By Spencer Clark with help from Stephan Hoyer.
+    + Allow for serialization of cftime.datetime objects (GH789,
+      GH1084, GH2008, GH1252) using the standalone cftime library. By
+      Spencer Clark.
+    + Support writing lists of strings as netCDF attributes
+      (GH2044). By Dan Nowacki.
+    + to_netcdf() with engine='h5netcdf' now accepts h5py encoding
+      settings compression and compression_opts, along with the
+      NetCDF4-Python style settings gzip=True and complevel. This
+      allows using any compression plugin installed in hdf5, e.g. LZF
+      (GH1536). By Guido Imperiale.
+    + dot() on dask-backed data will now call
+      dask.array.einsum(). This greatly boosts speed and allows
+      chunking on the core dims. The function now requires dask >=
+      0.17.3 to work on dask-backed data (GH2074). By Guido Imperiale.
+    + plot.line() learned new kwargs: xincrease, yincrease that change
+      the direction of the respective axes. By Deepak Cherian.
+    + Added the parallel option to open_mfdataset(). This option uses
+      dask.delayed to parallelize the open and preprocessing steps
+      within open_mfdataset. This is expected to provide performance
+      improvements when opening many files, particularly when used in
+      conjunction with dask’s multiprocessing or distributed
+      schedulers (GH1981). By Joe Hamman.
+    + New compute option in to_netcdf(), to_zarr(), and
+      save_mfdataset() to allow for the lazy computation of netCDF and
+      zarr stores. This feature is currently only supported by the
+      netCDF4 and zarr backends. (GH1784). By Joe Hamman.
+  * Bug fixes
+    + ValueError is raised when coordinates with the wrong size are
+      assigned to a DataArray. (GH2112) By Keisuke Fujii.
+    + Fixed a bug in rolling() with bottleneck. Also, fixed a bug in
+      rolling an integer dask array. (GH2113) By Keisuke Fujii.
+    + Fixed a bug where keep_attrs=True flag was neglected if
+      apply_ufunc() was used with Variable. (GH2114) By Keisuke Fujii.
+    + When assigning a DataArray to Dataset, any conflicted
+      non-dimensional coordinates of the DataArray are now
+      dropped. (GH2068) By Keisuke Fujii.
+    + Better error handling in open_mfdataset (GH2077). By Stephan
+      Hoyer.
+    + plot.line() does not call autofmt_xdate() anymore. Instead it
+      changes the rotation and horizontal alignment of labels without
+      removing the x-axes of any other subplots in the figure (if
+      any). By Deepak Cherian.
+    + Colorbar limits are now determined by excluding ±Infs too. By
+      Deepak Cherian.
+    + Fixed to_iris to maintain lazy dask array after conversion
+      (GH2046). By Alex Hilson and Stephan Hoyer.
+
+- changes from version 0.10.3:
+  * Enhancements
+    + isin() and isin() methods, which test each value in the array
+      for whether it is contained in the supplied list, returning a
+      bool array. See Selecting values with isin for full
+      details. Similar to the np.isin function. By Maximilian Roos.
+    + Some speed improvement to construct DataArrayRolling object
+      (GH1993) By Keisuke Fujii.
+    + Handle variables with different values for missing_value and
+      _FillValue by masking values for both attributes; previously
+      this resulted in a ValueError. (GH2016) By Ryan May.
+  * Bug fixes
+    + Fixed decode_cf function to operate lazily on dask arrays
+      (GH1372). By Ryan Abernathey.
+    + Fixed labeled indexing with slice bounds given by xarray objects
+      with datetime64 or timedelta64 dtypes (GH1240). By Stephan
+      Hoyer.
+    + Attempting to convert an xarray.Dataset into a numpy array now
+      raises an informative error message. By Stephan Hoyer.
+    + Fixed a bug in decode_cf_datetime where int32 arrays weren’t
+      parsed correctly (GH2002). By Fabien Maussion.
+    + When calling xr.auto_combine() or xr.open_mfdataset() with a
+      concat_dim, the resulting dataset will have that one-element
+      dimension (it was silently dropped, previously) (GH1988). By Ben
+      Root.
+
+-------------------------------------------------------------------

Old:
----
  xarray-0.10.3.tar.gz

New:
----
  xarray-0.10.4.tar.gz

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Other differences:
------------------
++++++ python-xarray.spec ++++++
--- /var/tmp/diff_new_pack.eK3CHd/_old  2018-05-29 10:35:06.486224670 +0200
+++ /var/tmp/diff_new_pack.eK3CHd/_new  2018-05-29 10:35:06.494224374 +0200
@@ -18,12 +18,12 @@
 
 %{?!python_module:%define python_module() python-%{**} python3-%{**}}
 Name:           python-xarray
-Version:        0.10.3
+Version:        0.10.4
 Release:        0
 Summary:        N-D labeled arrays and datasets in Python
 License:        Apache-2.0
 Group:          Development/Languages/Python
-Url:            http://github.com/pydata/xarray
+URL:            http://github.com/pydata/xarray
 Source:         
https://files.pythonhosted.org/packages/source/x/xarray/xarray-%{version}.tar.gz
 BuildRequires:  %{python_module devel}
 BuildRequires:  %{python_module numpy-devel >= 1.11}
@@ -31,19 +31,18 @@
 BuildRequires:  %{python_module setuptools}
 BuildRequires:  fdupes
 BuildRequires:  python-rpm-macros
+Requires:       python-numpy >= 1.11
+Requires:       python-pandas >= 0.18.0
+Recommends:     python-scipy
+Provides:       python-xray = %{version}
+Obsoletes:      python-xray < %{version}
+BuildArch:      noarch
 # SECTION tests
 BuildRequires:  %{python_module dask-dataframe}
 BuildRequires:  %{python_module pytest >= 2.7.1}
 BuildRequires:  %{python_module scipy}
 BuildRequires:  python2-mock
 # /SECTION
-Recommends:     python-scipy
-Requires:       python-numpy >= 1.11
-Requires:       python-pandas >= 0.18.0
-Provides:       python-xray = %{version}
-Obsoletes:      python-xray < %{version}
-BuildArch:      noarch
-
 %python_subpackages
 
 %description

++++++ xarray-0.10.3.tar.gz -> xarray-0.10.4.tar.gz ++++++
++++ 9783 lines of diff (skipped)


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