Accepting request 1109687 from home:bnavigator:branches:devel:languages:python:numeric

- Update to 13.0.0
  ## Compatibility notes:
  * The default format version for Parquet has been bumped from 2.4
    to 2.6 GH-35746. In practice, this means that nanosecond
    timestamps now preserve its resolution instead of being
    converted to microseconds.
  * Support for Python 3.7 is dropped GH-34788
  ## New features:
  * Conversion to non-nano datetime64 for pandas >= 2.0 is now
    supported GH-33321
  * Write page index is now supported GH-36284
  * Bindings for reading JSON format in Dataset are added GH-34216
  * keys_sorted property of MapType is now exposed GH-35112
  ## Other improvements:
  * Common python functionality between Table and RecordBatch
    classes has been consolidated ( GH-36129, GH-35415, GH-35390,
    GH-34979, GH-34868, GH-31868)
  * Some functionality for FixedShapeTensorType has been improved
    (__reduce__ GH-36038, picklability GH-35599)
  * Pyarrow scalars can now be accepted in the array constructor
    GH-21761
  * DataFrame Interchange Protocol implementation and usage is now
    documented GH-33980
  * Conversion between Arrow and Pandas for map/pydict now has
    enhanced support GH-34729
  * Usability of pc.map_lookup / MapLookupOptions is improved
    GH-36045
  * zero_copy_only keyword can now also be accepted in
    ChunkedArray.to_numpy() GH-34787
  * Python C++ codebase now has linter support in Archery and the
    CI GH-35485
  ## Relevant bug fixes:
  * __array__ numpy conversion for Table and RecordBatch is now
    corrected so that np.asarray(pa.Table) doesn’t return a
    transposed result GH-34886
  * parquet.write_to_dataset doesn’t create empty files for
    non-observed dictionary (category) values anymore GH-23870
  * Dataset writer now also correctly follows default Parquet
    version of 2.6 GH-36537
  * Comparing pyarrow.dataset.Partitioning with other type is now
    correctly handled GH-36659
  * Pickling of pyarrow.dataset PartitioningFactory objects is now
    supported GH-34884
  * None schema is now disallowed in parquet writer GH-35858
  * pa.FixedShapeTensorArray.to_numpy_ndarray is not failing on
    sliced arrays GH-35573
  * Halffloat type is now supported in the conversion from Arrow
    list to pandas GH-36168
  * __from_arrow__ is now also implemented for Array.to_pandas for
    pandas extension data types GH-36096
- Add pyarrow-pr37481-pandas2.1.patch gh#apache/arrow#37481

OBS-URL: https://build.opensuse.org/request/show/1109687
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pyarrow?expand=0&rev=13

python-pyarrow.spec

@@ -19,7 +19,7 @@
 %bcond_with xsimd
 %define plainpython python
 Name:           python-pyarrow
-Version:        12.0.1
+Version:        13.0.0
 Release:        0
 Summary:        Python library for Apache Arrow
 License:        Apache-2.0 AND BSD-3-Clause AND BSD-2-Clause AND MIT
@@ -27,8 +27,10 @@ Group:          Development/Languages/Python
 URL:            https://arrow.apache.org/
 Source0:        https://github.com/apache/arrow/archive/apache-arrow-%{version}.tar.gz
 Source99:       python-pyarrow.rpmlintrc
+# PATCH-FIX-UPSTREAM pyarrow-pr37481-pandas2.1.patch gh#apache/arrow#37481
+Patch0:         pyarrow-pr37481-pandas2.1.patch
 BuildRequires:  %{python_module Cython >= 0.29.31 with %python-Cython < 3}
-BuildRequires:  %{python_module devel}
+BuildRequires:  %{python_module devel >= 3.8}
 BuildRequires:  %{python_module numpy-devel >= 1.16.6}
 BuildRequires:  %{python_module pip}
 BuildRequires:  %{python_module setuptools_scm}