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
This commit is contained in:
2023-09-08 07:19:13 +00:00
committed by Git OBS Bridge
parent 27523b7678
commit bd58ced905
6 changed files with 95 additions and 8 deletions

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@@ -1,3 +0,0 @@
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size 19854518

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@@ -0,0 +1,32 @@
From e454be85598b84631f41f8fd33afcff24cec5578 Mon Sep 17 00:00:00 2001
From: Dane Pitkin <dane@voltrondata.com>
Date: Wed, 30 Aug 2023 16:36:29 -0400
Subject: [PATCH] Bump pandas version that contains regression for pandas issue
50127
---
python/pyarrow/tests/test_pandas.py | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/python/pyarrow/tests/test_pandas.py b/python/pyarrow/tests/test_pandas.py
index ef6ddd09933c9..67502af443302 100644
--- a/python/pyarrow/tests/test_pandas.py
+++ b/python/pyarrow/tests/test_pandas.py
@@ -457,7 +457,7 @@ def test_mixed_column_names(self):
preserve_index=True)
def test_binary_column_name(self):
- if Version("2.0.0") <= Version(pd.__version__) < Version("2.1.0"):
+ if Version("2.0.0") <= Version(pd.__version__) < Version("2.2.0"):
# TODO: regression in pandas, hopefully fixed in next version
# https://issues.apache.org/jira/browse/ARROW-18394
# https://github.com/pandas-dev/pandas/issues/50127
@@ -3083,7 +3083,7 @@ def _fully_loaded_dataframe_example():
@pytest.mark.parametrize('columns', ([b'foo'], ['foo']))
def test_roundtrip_with_bytes_unicode(columns):
- if Version("2.0.0") <= Version(pd.__version__) < Version("2.1.0"):
+ if Version("2.0.0") <= Version(pd.__version__) < Version("2.2.0"):
# TODO: regression in pandas, hopefully fixed in next version
# https://issues.apache.org/jira/browse/ARROW-18394
# https://github.com/pandas-dev/pandas/issues/50127

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@@ -1,3 +1,58 @@
-------------------------------------------------------------------
Thu Aug 31 18:43:55 UTC 2023 - Ben Greiner <code@bnavigator.de>
- 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) doesnt return a
transposed result GH-34886
* parquet.write_to_dataset doesnt 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
-------------------------------------------------------------------
Fri Aug 25 12:52:17 UTC 2023 - Ben Greiner <code@bnavigator.de>

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@@ -1,4 +1,2 @@
# header files in arch dependent sitearch
addFilter("devel.* no-binary")
# empty but necessary module file
addFilter("zero-length .*__init__")
addFilter("zero-length .*__init__")

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@@ -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}