Accepting request 1171775 from home:bnavigator:branches:devel:languages:python:numeric

- Update to 2.2.2 * Pandas 2.2.2 is now compatible with numpy 2.0 * Pandas 2.2.2 is the first version of pandas that is generally compatible with the upcoming numpy 2.0 release, and wheels for pandas 2.2.2 will work with both numpy 1.x and 2.x. One major caveat is that arrays created with numpy 2.0’s new StringDtype will convert to object dtyped arrays upon Series/DataFrame creation. Full support for numpy 2.0’s StringDtype is expected to land in pandas 3.0. * As usual please report any bugs discovered to our issue tracker ## Fixed regressions * DataFrame.__dataframe__() was producing incorrect data buffers when the a column’s type was a pandas nullable on with missing values (GH 56702) * DataFrame.__dataframe__() was producing incorrect data buffers when the a column’s type was a pyarrow nullable on with missing values (GH 57664) * Avoid issuing a spurious DeprecationWarning when a custom DataFrame or Series subclass method is called (GH 57553) * Fixed regression in precision of to_datetime() with string and unit input (GH 57051) ## Bug fixes * DataFrame.__dataframe__() was producing incorrect data buffers when the column’s type was nullable boolean (GH 55332) * DataFrame.__dataframe__() was showing bytemask instead of bitmask for 'string[pyarrow]' validity buffer (GH 57762) * DataFrame.__dataframe__() was showing non-null validity buffer (instead of None) 'string[pyarrow]' without missing values (GH 57761) * DataFrame.to_sql() was failing to find the right table when using the schema argument (GH 57539) - Remove obsolete python39 multibuild - Add pandas-pr58269-pyarrow16xpass.patch gh#pandas-dev/pandas#58269 OBS-URL: https://build.opensuse.org/request/show/1171775 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=114
2024-05-06 08:07:03 +00:00 · 2024-05-06 08:07:03 +00:00 · 1654daaf58
commit 1654daaf58
parent 38bd51831f
7 changed files with 102 additions and 16 deletions
--- a/1
+++ b/1
@ -1,5 +1,4 @@
 <multibuild>
-  <package>test-py39</package>
  <package>test-py310</package>
  <package>test-py311</package>
  <package>test-py312</package>
--- a/2
+++ b/2
@ -2,7 +2,7 @@
  <service name="tar_scm" mode="disabled">
    <param name="url">https://github.com/pandas-dev/pandas.git</param>
    <param name="scm">git</param>
-    <param name="revision">v2.2.1</param>
+    <param name="revision">v2.2.2</param>
    <param name="versionformat">@PARENT_TAG@</param>
    <param name="versionrewrite-pattern">v(.*)</param>
    <param name="filename">pandas</param>
--- a/pandas-2.2.1.tar.gz
+++ b/pandas-2.2.1.tar.gz
@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:5976687845c1b908a748264033d0f876e706fd97813ad914ac782160399cc246
-size 49830028
--- a/pandas-2.2.2.tar.gz
+++ b/pandas-2.2.2.tar.gz
@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8f044538e419c7d5c03434c96b1439cbd88701dcd02d6a79b08947fbb656c2f4
+size 50782448
--- a/pandas-pr58269-pyarrow16xpass.patch
+++ b/pandas-pr58269-pyarrow16xpass.patch
@ -0,0 +1,40 @@
+From 1828b62ee913da44ec4402642ef7baaafeb65677 Mon Sep 17 00:00:00 2001
+From: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com>
+Date: Mon, 15 Apr 2024 09:47:31 -1000
+Subject: [PATCH] Backport PR #58268: CI/TST: Unxfail
+ test_slice_locs_negative_step Pyarrow test
+
+---
+ pandas/tests/indexes/object/test_indexing.py | 12 +-----------
+ 1 file changed, 1 insertion(+), 11 deletions(-)
+
+diff --git a/pandas/tests/indexes/object/test_indexing.py b/pandas/tests/indexes/object/test_indexing.py
+index 443cacf94d239..ebf9dac715f8d 100644
+--- a/pandas/tests/indexes/object/test_indexing.py
+++ b/pandas/tests/indexes/object/test_indexing.py
+@@ -7,7 +7,6 @@
+     NA,
+     is_matching_na,
+ )
+-from pandas.compat import pa_version_under16p0
+ import pandas.util._test_decorators as td
+ 
+ import pandas as pd
+@@ -201,16 +200,7 @@ class TestSliceLocs:
+             (pd.IndexSlice["m":"m":-1], ""),  # type: ignore[misc]
+         ],
+     )
+-    def test_slice_locs_negative_step(self, in_slice, expected, dtype, request):
+-        if (
+-            not pa_version_under16p0
+-            and dtype == "string[pyarrow_numpy]"
+-            and in_slice == slice("a", "a", -1)
+-        ):
+-            request.applymarker(
+-                pytest.mark.xfail(reason="https://github.com/apache/arrow/issues/40642")
+-            )
+-
+    def test_slice_locs_negative_step(self, in_slice, expected, dtype):
+         index = Index(list("bcdxy"), dtype=dtype)
+ 
+         s_start, s_stop = index.slice_locs(in_slice.start, in_slice.stop, in_slice.step)
--- a/python-pandas.changes
+++ b/python-pandas.changes
@ -1,3 +1,41 @@
+-------------------------------------------------------------------
+Tue Apr 30 18:08:56 UTC 2024 - Ben Greiner <code@bnavigator.de>
+
+- Update to 2.2.2
+  * Pandas 2.2.2 is now compatible with numpy 2.0
+  * Pandas 2.2.2 is the first version of pandas that is generally
+    compatible with the upcoming numpy 2.0 release, and wheels for
+    pandas 2.2.2 will work with both numpy 1.x and 2.x. One major
+    caveat is that arrays created with numpy 2.0’s new StringDtype
+    will convert to object dtyped arrays upon Series/DataFrame
+    creation. Full support for numpy 2.0’s StringDtype is expected
+    to land in pandas 3.0.
+  * As usual please report any bugs discovered to our issue tracker
+  ## Fixed regressions
+  * DataFrame.__dataframe__() was producing incorrect data buffers
+    when the a column’s type was a pandas nullable on with missing
+    values (GH 56702)
+  * DataFrame.__dataframe__() was producing incorrect data buffers
+    when the a column’s type was a pyarrow nullable on with missing
+    values (GH 57664)
+  * Avoid issuing a spurious DeprecationWarning when a custom
+    DataFrame or Series subclass method is called (GH 57553)
+  * Fixed regression in precision of to_datetime() with string and
+    unit input (GH 57051)
+  ## Bug fixes
+  * DataFrame.__dataframe__() was producing incorrect data buffers
+    when the column’s type was nullable boolean (GH 55332)
+  * DataFrame.__dataframe__() was showing bytemask instead of
+    bitmask for 'string[pyarrow]' validity buffer (GH 57762)
+  * DataFrame.__dataframe__() was showing non-null validity buffer
+    (instead of None) 'string[pyarrow]' without missing values (GH
+    57761)
+  * DataFrame.to_sql() was failing to find the right table when
+    using the schema argument (GH 57539)
+- Remove obsolete python39 multibuild
+- Add pandas-pr58269-pyarrow16xpass.patch
+  gh#pandas-dev/pandas#58269
+
 -------------------------------------------------------------------
 Mon Mar  4 20:44:10 UTC 2024 - Ben Greiner <code@bnavigator.de>

--- a/python-pandas.spec
+++ b/python-pandas.spec
@ -25,9 +25,6 @@
 %else
 %define psuffix -%{flavor}
 %bcond_without test
-%if "%{flavor}" != "test-py39"
-%define skip_python39 1
-%endif
 %if "%{flavor}" != "test-py310"
 %define skip_python310 1
 %endif
@ -64,7 +61,7 @@ ExclusiveArch:  donotbuild
 %endif
 Name:           python-pandas%{psuffix}
 # Set version through _service
-Version:        2.2.1
+Version:        2.2.2
 Release:        0
 Summary:        Python data structures for data analysis, time series, and statistics
 License:        BSD-3-Clause
@ -72,10 +69,13 @@ URL:            https://pandas.pydata.org/
 # SourceRepository: https://github.com/pandas-dev/pandas
 # Must be created by cloning through `osc service runall`: gh#pandas-dev/pandas#54903, gh#pandas-dev/pandas#54907
 Source0:        pandas-%{version}.tar.gz
+# PATCH-FIX-UPSTREAM pandas-pr58269-pyarrow16xpass.patch -- gh#pandas-dev/pandas#58269
+Patch0:         https://github.com/pandas-dev/pandas/pull/58269.patch#/pandas-pr58269-pyarrow16xpass.patch
+%if !%{with test}
 BuildRequires:  %{python_module Cython >= 3.0.5}
 BuildRequires:  %{python_module devel >= 3.9}
 BuildRequires:  %{python_module meson-python >= 0.13.1}
-BuildRequires:  %{python_module numpy-devel >= 1.23.2 if %python-base < 3.12 else %python-numpy-devel >= 1.26}
+BuildRequires:  %{python_module numpy-devel >= 1.26}
 BuildRequires:  %{python_module pip}
 BuildRequires:  %{python_module versioneer-toml}
 BuildRequires:  %{python_module wheel}
@ -83,16 +83,21 @@ BuildRequires:  fdupes
 BuildRequires:  gcc%{?gccver}-c++
 BuildRequires:  git-core
 BuildRequires:  meson >= 1.2.1
+%endif
 BuildRequires:  python-rpm-macros
 Requires:       python-python-dateutil >= 2.8.2
 Requires:       python-pytz >= 2020.1
 Requires:       timezone >= 2022a
 Obsoletes:      python-pandas-doc < %{version}
 Provides:       python-pandas-doc = %{version}
-%if 0%{python_version_nodots} < 312
-Requires:       (python-numpy >= 1.23.2 with python-numpy < 2)
+%if 0%{python_version_nodots} < 311
+Requires:       python-numpy >= 1.22.4
 %else
-Requires:       (python-numpy >= 1.26  with python-numpy < 2)
+%if 0%{python_version_nodots} == 311
+Requires:       python-numpy >= 1.23.2
+%else
+Requires:       python-numpy >= 1.26
+%endif
 %endif
 # SECTION extras
 Recommends:     python-pandas-performance
@ -131,7 +136,7 @@ BuildRequires:  %{python_module dask-dataframe}
 BuildRequires:  %{python_module pandas-all = %{version}}
 BuildRequires:  %{python_module pandas-clipboard = %{version}}
 BuildRequires:  %{python_module pandas-compression = %{version}}
-BuildRequires:  %{python_module pandas-computation = %{version} if %python-base >= 3.10}
+BuildRequires:  %{python_module pandas-computation = %{version}}
 BuildRequires:  %{python_module pandas-excel = %{version}}
 %{?with_pyarrow:BuildRequires:  %{python_module pandas-feather = %{version}}}
 BuildRequires:  %{python_module pandas-fss = %{version}}
@ -418,9 +423,7 @@ Requires:       python-pytest-xdist >= 2.2.0
 Requires:       python-scipy >= 1.10.0
 Requires:       python-tables >= 3.8.0
 Requires:       python-tabulate >= 0.9
-%if 0%{python_version_nodots} >= 310
 Requires:       python-xarray >= 2022.12
-%endif
 Requires:       python-xlrd >= 2.0.1
 Requires:       python-zstandard >= 0.19.0
 %{?with_aws:Requires:                  python-s3fs >= 2022.05.0}
@ -456,6 +459,7 @@ sed -i "s|'generate_version.py',|'${genpython}', 'generate_version.py',|" meson.
 # don't require the PyPI data only tzdata package, we use the timezone RPM package
 sed -i '/dependencies = \[/,/\]/ {/tzdata.*>=/d}' pyproject.toml
 %endif
+%autopatch -p1

 %build
 %if !%{with test}
@ -516,6 +520,11 @@ SKIP_TESTS+=" or test_maybe_promote_int_with_int"
 SKIP_TESTS+=" or (test_rolling_quantile_interpolation_options and data1 and linear and 0.1)"
 # overflow
 SKIP_TESTS+=" or test_large_string_pyarrow"
+SKIP_TESTS+=" or test_pandas_nullable_with_missing_values"
+SKIP_TESTS+=" or test_pandas_nullable_without_missing_values"
+# pyarrow read-only errors
+SKIP_TESTS+=" or test_left_join_multi_index"
+SKIP_TESTS+=" or test_join_on_single_col_dup_on_right"
 # dtype mismatch
 SKIP_TESTS+=" or test_frame_setitem_dask_array_into_new_col"
 SKIP_TESTS+=" or test_get_indexer_arrow_dictionary_target"