Script 'mail_helper' called by obssrc Hello community, here is the log from the commit of package python-pandas for openSUSE:Factory checked in at 2026-07-22 19:01:11 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Comparing /work/SRC/openSUSE:Factory/python-pandas (Old) and /work/SRC/openSUSE:Factory/.python-pandas.new.24530 (New) ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "python-pandas" Wed Jul 22 19:01:11 2026 rev:83 rq:1367011 version:3.0.3 Changes: -------- --- /work/SRC/openSUSE:Factory/python-pandas/python-pandas.changes 2026-06-27 18:03:23.546528220 +0200 +++ /work/SRC/openSUSE:Factory/.python-pandas.new.24530/python-pandas.changes 2026-07-22 19:01:35.321817218 +0200 @@ -1,0 +2,110 @@ +Tue Jul 21 15:35:33 UTC 2026 - Dirk Müller <[email protected]> + +- avoid xdist - makes troubleshooting testsuite failures quite hard + +------------------------------------------------------------------- +Thu Jul 16 06:10:07 UTC 2026 - Dirk Müller <[email protected]> + +- revert to 3.0.3: 3.0.4 was yanked due to crashes in date-time + related functions + +------------------------------------------------------------------- +Wed Jul 15 05:49:54 UTC 2026 - Steve Kowalik <[email protected]> + +- Update to 3.0.4: + ## Core Architecture & Structural Enhancements + * String columns are now inferred as a dedicated str data type by default + instead of the generic NumPy object type. + * Columns with the new str dtype can only store strings or missing values, + entirely rejecting non-string inputs. + * Copy-on-Write (CoW) is now the default and only mode, ensuring + predictable data mutations across indexing operations. + * Because modifications now strictly return copies, traditional multi-step + chained assignments will no longer work. + * The option mode.copy_on_write no longer has an impact. + * Support for the pd.col() syntax simplifies referencing columns by name to + build expressions natively. + * The pd.col() syntax provides an elegant alternative to using complex + lambda functions inside DataFrame.assign(). + * DataFrame and Series natively support the Arrow PyCapsule Interface for + efficient, zero-copy data exchanges. + * The default resolution for constructing datetime-like data shifts from + nanoseconds to microseconds. + * Version 3.0 explicitly requires Python 3.11 or higher. + ## Data Merging & Transformation Updates + * Added support for pd.col() expressions in Series.case_when() + * Merging methods now officially support left_anti and right_anti arguments + within the how parameter. + * The how parameter string inputs are now rigorously validated during a + merge operation. + * The pandas.merge() function now successfully propagates the attrs + dictionary when inputs contain identical tags. + * DataFrame.pivot_table() now accepts flexible, additional keyword + arguments forwarded to aggfunc. + * Passing ignore_index=True while simultaneously defining keys inside + concat() now throws a strict ValueError. + * Using DataFrame.agg() on axis=1 with a function that attempts to relabel + the index will raise a NotImplementedError. + ## Missing Value Handling & Styling Improvements + * The missing value sentinel for the new default string types is uniformly + set as NaN (np.nan). + * fillna() can accept a literal None, automatically resolving it to the + appropriate data-type-specific NA value. + * Users can now seamlessly execute DataFrame.fillna() along axis=1 using + dictionary or Series mappings. + * The Styler object introduces Styler.to_typst() to write formatted data + directly to Typst-compliant files. + * Users can now apply dedicated format treatments to index and column + header names using Styler.format_index_names(). + * Frozenset elements contained within pandas data structures are now + natively recognized and printed cleanly. + ## Input / Output (I/O) Enhancements + * The errors.DtypeWarning is upgraded to include specific column names when + mixed types are caught. + * The merge_cells parameter in to_excel() accepts "columns" to target + MultiIndex header columns uniquely. + * A brand-new autofilter parameter within to_excel() automatically applies + native filters to columns. + * The if_exists parameter in to_sql() gains a "delete_rows" option to wipe + records prior to writing new entries. + ## Groupby & System Configurations + * DataFrameGroupBy.prod() now evaluates unobserved groups as 1 rather than + evaluating them as missing values. + * The all() and any() operations on DataFrameGroupBy now evaluate + unobserved groups as True and False. + * DataFrameGroupBy.groups() has been updated to fully include tracking data + for unobserved categorical groups. + * Configuring system configurations is streamlined as set_option() now + accepts a dictionary of multiple parameters. + ## Bug fixes + * Fixed a bug in Series.rank() with period dtype and missing values, always + sorting missing values at the top, regardless of the na_option value + * Fixed a bug in Series.var() computing the variance of complex numbers + incorrectly + * Fixed a bug in to_hdf() with string columns raising an error when using + compression + * Fixed a bug in the sum() method with python-backed string dtype returning + incorrect value for an empty Series and ignoring the min_count argument + * Fixed a bug when using col() with Python functions bool(), iter(), + copy(), and deepcopy() either failed or produced incorrect results; these + now all raise a TypeError + * Fixed a bug where col() and expressions derived from it failed with + power (**) and matrix multiplication (@) operators + * Fixed a bug where DataFrame.div() ignored the axis argument when used + with level for MultiIndex columns + * Fixed a bug in the DataFrame constructor when passed a Series or Index + correctly handling Copy-on-Write + * Allow ExtensionArray to have dtypes involving numpy.void + * Fixed a bug in col() where unary operators (-, +, abs) were not supported + * Prevent buffer overflow in Rolling.corr() and Rolling.cov() with variable + windows when passing other with a longer index than the original window +- The consortium-standard package is no longer built, since that extra has + been removed. +- Dropped patches, merged upstream: + * pandas-pr61132-dropna.patch + * pandas-pr62553-numexpr.patch + * pandas-pr63406-meson-types.patch + * pandas-pr62863.patch + * pandas-pr63143.patch + +------------------------------------------------------------------- Old: ---- pandas-2.3.3.tar.gz pandas-pr61132-dropna.patch pandas-pr62553-numexpr.patch pandas-pr62863.patch pandas-pr63143.patch pandas-pr63406-meson-types.patch New: ---- pandas-3.0.3.tar.gz ----------(Old B)---------- Old:- Dropped patches, merged upstream: * pandas-pr61132-dropna.patch * pandas-pr62553-numexpr.patch Old: * pandas-pr61132-dropna.patch * pandas-pr62553-numexpr.patch * pandas-pr63406-meson-types.patch Old: * pandas-pr63406-meson-types.patch * pandas-pr62863.patch * pandas-pr63143.patch Old: * pandas-pr62863.patch * pandas-pr63143.patch Old: * pandas-pr62553-numexpr.patch * pandas-pr63406-meson-types.patch * pandas-pr62863.patch ----------(Old E)---------- ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Other differences: ------------------ ++++++ python-pandas.spec ++++++ --- /var/tmp/diff_new_pack.W27XZq/_old 2026-07-22 19:01:37.301884992 +0200 +++ /var/tmp/diff_new_pack.W27XZq/_new 2026-07-22 19:01:37.301884992 +0200 @@ -34,6 +34,9 @@ %if "%{flavor}" != "test-py314" %define skip_python314 1 %endif +%if "%{flavor}" != "test-py315" +%define skip_python315 1 +%endif # Skip empty buildsets on tumbleweed or flavors other than python311 on leap with sle15_python_module_pythons %if "%{shrink:%{pythons}}" == "" || ("%pythons" == "python311" && 0%{?skip_python311}) ExclusiveArch: donotbuild @@ -49,7 +52,6 @@ %bcond_with gcp # xlsb not available %bcond_with xslb -%bcond_with consortium_standard %bcond_with calamine %bcond_with adbc # depend/not depend on python-pyarrow and apache-arrow [bsc#1218592] @@ -61,7 +63,7 @@ %endif Name: python-pandas%{psuffix} # Set version through _service -Version: 2.3.3 +Version: 3.0.3 Release: 0 Summary: Python data structures for data analysis, time series, and statistics License: BSD-3-Clause @@ -69,21 +71,11 @@ # 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-pr61132-dropna.patch gh#pandas-dev/pandas#61132 BUG: .mode(dropna=False) doesn't work with nullable integers -Patch1: pandas-pr61132-dropna.patch -# PATCH-FIX-UPSTREAM pandas-pr62553-numexpr.patch gh#pandas-dev/pandas#62553 TST: remove expected warnings for new numexpr version -Patch2: pandas-pr62553-numexpr.patch -# PATCH-FIX-UPSTREAM pandas-pr63406-meson-types.patch gh#pandas-dev/pandas#63406 BLD: newer versions of meson are pickier about types -Patch3: pandas-pr63406-meson-types.patch -# PATCH-FIX-UPSTREAM pandas-pr62863.patch gh#pandas-dev/pandas#62863 BUG: fix polluted window in skewness computation -Patch4: pandas-pr62863.patch -# PATCH-FIX-UPSTREAM pandas-pr63143.patch gh#pandas-dev/pandas#63143 BUG: fix polluted window in rolling kurt -Patch5: pandas-pr63143.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 >= 1.22.4} +BuildRequires: %{python_module Cython >= 3.1.0} +BuildRequires: %{python_module devel >= 3.11} +BuildRequires: %{python_module meson-python >= 0.17.1} +BuildRequires: %{python_module numpy-devel >= 2.0.0} BuildRequires: %{python_module pip} BuildRequires: %{python_module versioneer-toml} BuildRequires: %{python_module wheel} @@ -94,18 +86,13 @@ %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} < 311 -Requires: python-numpy >= 1.22.4 -%else -%if 0%{python_version_nodots} == 311 -Requires: python-numpy >= 1.23.2 -%else +%if 0%{python_version_nodots} < 314 Requires: python-numpy >= 1.26.0 -%endif +%else +Requires: python-numpy >= 2.3.3 %endif # SECTION extras Recommends: python-pandas-performance @@ -132,6 +119,7 @@ %{?with_pyarrow:Suggests: python-pandas-feather} # /SECTION %if %{with test} +ExcludeArch: %ix86 %{arm32} ppc s390 # required for sqlite3 tests BuildRequires: %{pythons} BuildRequires: %{python_module pandas-test = %{version}} @@ -157,13 +145,15 @@ BuildRequires: %{python_module pandas-plot = %{version}} BuildRequires: %{python_module pandas-postgresql = %{version}} %{?with_pyarrow:BuildRequires: %{python_module pandas-pyarrow = %{version}}} +BuildRequires: %{python_module lxml} +BuildRequires: %{python_module numexpr} BuildRequires: %{python_module pandas-spss = %{version}} BuildRequires: %{python_module pandas-sql-other = %{version}} BuildRequires: %{python_module pandas-xml = %{version}} +BuildRequires: %{python_module pytz} BuildRequires: xclip %{?with_aws:BuildRequires: %{python_module pandas-aws = %{version}}} %{?with_gcp:BuildRequires: %{python_module pandas-gcp = %{version}}} -%{?with_consortium_standard:BuildRequires: %{python_module pandas-consortium-standard = %{version}}} %endif %endif %python_subpackages @@ -176,10 +166,9 @@ %package test Summary: The python pandas[test] extra -Requires: python-hypothesis >= 6.46.1 +Requires: python-hypothesis >= 6.116.0 Requires: python-pandas = %{version} -Requires: python-pytest >= 7.3.2 -Requires: python-pytest-xdist >= 2.2.0 +Requires: python-pytest >= 8.3.4 BuildArch: noarch %description test @@ -188,7 +177,7 @@ %package pyarrow Summary: The python pandas[pyarrow] extra Requires: python-pandas = %{version} -Requires: python-pyarrow >= 10.0.1 +Requires: python-pyarrow >= 13.0.0 BuildArch: noarch %description pyarrow @@ -196,9 +185,9 @@ %package performance Summary: The python pandas[performance] extra -Requires: python-Bottleneck >= 1.3.6 -Requires: python-numba >= 0.56.4 -Requires: python-numexpr >= 2.8.4 +Requires: python-Bottleneck >= 1.4.2 +Requires: python-numba >= 0.60.0 +Requires: python-numexpr >= 2.10.2 Requires: python-pandas = %{version} BuildArch: noarch @@ -211,8 +200,8 @@ %package computation Summary: The python pandas[computation] extra Requires: python-pandas = %{version} -Requires: python-scipy >= 1.12.0 -Requires: python-xarray >= 2022.12.0 +Requires: python-scipy >= 1.14.1 +Requires: python-xarray >= 2024.10.0 BuildArch: noarch %description computation @@ -220,7 +209,7 @@ %package fss Summary: The python pandas[fss] extra -Requires: python-fsspec >= 2023.12.2 +Requires: python-fsspec >= 2024.10.0 Requires: python-pandas = %{version} BuildArch: noarch @@ -230,7 +219,7 @@ %package aws Summary: The python pandas[aws] extra Requires: python-pandas = %{version} -Requires: python-s3fs >= 2022.11 +Requires: python-s3fs >= 2024.10.0 BuildArch: noarch %description aws @@ -238,7 +227,7 @@ %package gcp Summary: The python pandas[gcp] extra -Requires: python-gcsfs >= 2022.11 +Requires: python-gcsfs >= 2024.10.0 Requires: python-pandas = %{version} Requires: python-pandas-gbq >= 0.19.0 BuildArch: noarch @@ -249,12 +238,12 @@ %package excel Summary: The python pandas[excel] extra Requires: python-odfpy >= 1.4.1 -Requires: python-openpyxl >= 3.1.0 +Requires: python-openpyxl >= 3.1.5 Requires: python-pandas = %{version} %{?with_xlsb:Requires: python-pyxlsb >= 1.0.10} -Requires: python-XlsxWriter >= 3.0.5 +Requires: python-XlsxWriter >= 3.2.0 Requires: python-xlrd >= 2.0.1 -%{?with_calamine:Requires: python-calamine >= 0.1.7} +%{?with_calamine:Requires: python-calamine >= 0.3.0} BuildArch: noarch %description excel @@ -264,7 +253,7 @@ %package parquet Summary: The python pandas[parquet] extra Requires: python-pandas = %{version} -Requires: python-pyarrow >= 10.0.1 +Requires: python-pyarrow >= 13.0.0 BuildArch: noarch %description parquet @@ -273,7 +262,7 @@ %package feather Summary: The python pandas[feather] extra Requires: python-pandas = %{version} -Requires: python-pyarrow >= 10.0.1 +Requires: python-pyarrow >= 13.0.0 BuildArch: noarch %description feather @@ -283,7 +272,7 @@ Summary: The python pandas[hdf5] extra Requires: python-blosc Requires: python-pandas = %{version} -Requires: python-tables >= 3.8.0 +Requires: python-tables >= 3.10.1 BuildArch: noarch %description hdf5 @@ -292,7 +281,7 @@ %package spss Summary: The python pandas[spss] extra Requires: python-pandas = %{version} -Requires: python-pyreadstat >= 1.2.0 +Requires: python-pyreadstat >= 1.2.8 BuildArch: noarch %description spss @@ -300,10 +289,10 @@ %package postgresql Summary: The python pandas[postgresql] extra -Requires: python-SQLAlchemy >= 2.0.0 +Requires: python-SQLAlchemy >= 2.0.36 Requires: python-pandas = %{version} -Requires: python-psycopg2 >= 2.9.6 -%{?with_adbc:Requires: python-adbc-driver-postgresql >= 0.8} +Requires: python-psycopg2 >= 2.9.10 +%{?with_adbc:Requires: python-adbc-driver-postgresql >= 1.2.0} BuildArch: noarch %description postgresql @@ -311,8 +300,8 @@ %package mysql Summary: The python pandas[mysql] extra -Requires: python-PyMySQL >= 1.0.2 -Requires: python-SQLAlchemy >= 2.0.0 +Requires: python-PyMySQL >= 1.1.1 +Requires: python-SQLAlchemy >= 2.0.36 Requires: python-pandas = %{version} BuildArch: noarch @@ -321,9 +310,9 @@ %package sql-other Summary: The python pandas[sql-other] extra -Requires: python-SQLAlchemy >= 2.0.0 -%{?with_adbc:Requires: python-adbc-driver-postgresql >= 0.8} -%{?with_adbc:Requires: python-adbc-driver-sqlite >= 0.8} +Requires: python-SQLAlchemy >= 2.0.36 +%{?with_adbc:Requires: python-adbc-driver-postgresql >= 1.2.0} +%{?with_adbc:Requires: python-adbc-driver-sqlite >= 1.2.0} Requires: python-pandas = %{version} BuildArch: noarch @@ -332,9 +321,9 @@ %package html Summary: The python pandas[html] extra -Requires: python-beautifulsoup4 >= 4.11.2 +Requires: python-beautifulsoup4 >= 4.12.3 Requires: python-html5lib >= 1.1 -Requires: python-lxml >= 4.9.2 +Requires: python-lxml >= 5.3.0 Requires: python-pandas = %{version} BuildArch: noarch @@ -343,7 +332,7 @@ %package xml Summary: The python pandas[xml] extra -Requires: python-lxml >= 4.9.2 +Requires: python-lxml >= 5.3.0 Requires: python-pandas = %{version} BuildArch: noarch @@ -352,7 +341,7 @@ %package plot Summary: The python pandas[plot] extra -Requires: python-matplotlib >= 3.6.3 +Requires: python-matplotlib >= 3.9.3 Requires: python-pandas = %{version} BuildArch: noarch @@ -361,7 +350,7 @@ %package output_formatting Summary: The python pandas[output_formatting] extra -Requires: python-Jinja2 >= 3.1.2 +Requires: python-Jinja2 >= 3.1.5 Requires: python-pandas = %{version} Requires: python-tabulate >= 0.9.0 BuildArch: noarch @@ -372,7 +361,7 @@ %package clipboard Summary: The python pandas[clipboard] extra Requires: python-PyQt5 >= 5.15.9 -Requires: python-QtPy >= 2.3.0 +Requires: python-QtPy >= 2.4.2 Requires: python-pandas = %{version} BuildArch: noarch @@ -382,62 +371,51 @@ %package compression Summary: The python pandas[compression] extra Requires: python-pandas = %{version} -Requires: python-zstandard >= 0.19.0 +Requires: python-zstandard >= 0.23.0 BuildArch: noarch %description compression This package provides the [compression] extra for python-pandas -%package consortium-standard -Summary: The python pandas[consortium-standard] extra -Requires: python-dataframe-api-compat >= 0.1.7 -Requires: python-pandas = %{version} -BuildArch: noarch - -%description consortium-standard -This package provides the [consortium-standard] extra for python-pandas - %package all Summary: The python pandas[all] extra -Requires: python-Bottleneck >= 1.3.6 -Requires: python-Jinja2 >= 3.1.2 -Requires: python-PyMySQL >= 1.0.2 +Requires: python-Bottleneck >= 1.4.2 +Requires: python-Jinja2 >= 3.1.5 +Requires: python-PyMySQL >= 1.1.1 Requires: python-PyQt5 >= 5.15.9 -Requires: python-QtPy >= 2.3.0 -Requires: python-SQLAlchemy >= 2 -Requires: python-XlsxWriter >= 3.0.5 -Requires: python-beautifulsoup4 >= 4.11.2 -%{?with_adbc:Requires: python-adbc-driver-postgresql >= 0.8} -%{?with_adbc:Requires: python-adbc-driver-sqlite >= 0.8} +Requires: python-QtPy >= 2.4.2 +Requires: python-SQLAlchemy >= 2.0.36 +Requires: python-XlsxWriter >= 3.2.0 +Requires: python-beautifulsoup4 >= 4.12.3 +%{?with_adbc:Requires: python-adbc-driver-postgresql >= 1.2.0} +%{?with_adbc:Requires: python-adbc-driver-sqlite >= 1.2.0} Requires: python-blosc -%{?with_calamine:Requires: python-calamine >= 0.1.7} -%{?with_pyarrow:Requires: python-fastparquet >= 2022.12} -Requires: python-fsspec >= 2023.12.2 -Requires: python-gcsfs >= 2022.11 +%{?with_calamine:Requires: python-calamine >= 0.3.0} +%{?with_pyarrow:Requires: python-fastparquet >= 2024.11.0} +Requires: python-fsspec >= 2024.10.0 +Requires: python-gcsfs >= 2024.10.0 Requires: python-html5lib >= 1.1 -Requires: python-hypothesis >= 6.46.1 -Requires: python-lxml >= 4.9.2 -Requires: python-matplotlib >= 3.6.3 -Requires: python-numba >= 0.56.4 -Requires: python-numexpr >= 2.8.4 +Requires: python-hypothesis >= 6.116.0 +Requires: python-lxml >= 5.3.0 +Requires: python-matplotlib >= 3.9.3 +Requires: python-numba >= 0.60.0 +Requires: python-numexpr >= 2.10.2 Requires: python-odfpy >= 1.4.1 -Requires: python-openpyxl >= 3.1.0 +Requires: python-openpyxl >= 3.1.5 Requires: python-pandas = %{version} -Requires: python-psycopg2 >= 2.9.6 -%{?with_pyarrow:Requires: python-pyarrow >= 10.0.1} -Requires: python-pyreadstat >= 1.2.0 -Requires: python-pytest >= 7.3.2 -Requires: python-pytest-xdist >= 2.2.0 -Requires: python-scipy >= 1.12.0 -Requires: python-tables >= 3.8.0 -Requires: python-tabulate >= 0.9 -Requires: python-xarray >= 2022.12 +Requires: python-psycopg2 >= 2.9.10 +%{?with_pyarrow:Requires: python-pyarrow >= 13.0.0} +Requires: python-pyreadstat >= 1.2.8 +Requires: python-pytest >= 8.3.4 +Requires: python-scipy >= 1.14.1 +Requires: python-tables >= 3.10.1 +Requires: python-tabulate >= 0.9.0 +Requires: python-xarray >= 2024.10.0 Requires: python-xlrd >= 2.0.1 -Requires: python-zstandard >= 0.19.0 -%{?with_aws:Requires: python-s3fs >= 2022.05.0} +Requires: python-zstandard >= 0.23.0 +%{?with_aws:Requires: python-s3fs >= 2024.10.0} %{?with_gcp:Requires: python-pandas-gbq >= 0.19} %{?with_xslb:Requires: python-pyxlsb >= 1.0.10} -%{?with_consortium_standard: Requires: python-dataframe-api-compat >= 0.1.7} BuildArch: noarch %description all @@ -520,10 +498,6 @@ %if "%{flavor}" == "test-py312" || "%{flavor}" == "test-py313" SKIP_TESTS+=" or (test_scalar_unary and numexpr-pandas)" %endif -# https://github.com/pandas-dev/pandas/pull/55901, not gonna merge this huge patch to fix one test failing with new timezone, will be included in 3.0 -SKIP_TESTS+=" or test_array_inference[data7-expected7]" -# too new xarray, gh#pandas-dev/pandas#60109 backport too much -SKIP_TESTS+=" or (TestDataFrameToXArray and test_to_xarray_index_types)" # xpass strict: our xarray seems to handle this fine SKIP_TESTS+=" or (TestSeriesToXArray and test_to_xarray_index_types)" %ifarch %{ix86} %{arm32} @@ -538,6 +512,7 @@ SKIP_TESTS+=" or (test_to_datetime and TestOrigin and test_epoch)" SKIP_TESTS+=" or test_td_mul_numeric_ndarray_0d" SKIP_TESTS+=" or test_get_indexer_non_unique_wrong_dtype" +SKIP_TESTS+=" or test_ignore_downcast_cannot_convert_float" # pyarrow read-only errors SKIP_TESTS+=" or test_left_join_multi_index" SKIP_TESTS+=" or test_join_on_single_col_dup_on_right" @@ -579,11 +554,11 @@ %endif # The test collection consumes a lot of memory per worker. This sets %%jobs. -%limit_build -m 3072 +%limit_build -m 3972 %{python_expand $python -c 'import pandas; print(pandas.__path__); print(pandas.show_versions())' # cache: can't just say no cacheprovider, because one test checks for the --lf option of pytest-cache -xvfb-run pytest-%{$python_bin_suffix} -v -n %{jobs} -rsfE --dist=loadfile \ +xvfb-run pytest-%{$python_bin_suffix} -v -rsfE \ -o cache_dir=$PWD/.pytest_cache --cache-clear \ -m "not (${SKIP_MARKERS})" \ -k "not (${SKIP_TESTS})" \ @@ -693,12 +668,6 @@ %license LICENSE %doc README.md -%if %{with consortium_standard} -%files %{python_files consortium-standard} -%license LICENSE -%doc README.md -%endif - %files %{python_files all} %license LICENSE %doc README.md ++++++ _service ++++++ --- /var/tmp/diff_new_pack.W27XZq/_old 2026-07-22 19:01:37.377887594 +0200 +++ /var/tmp/diff_new_pack.W27XZq/_new 2026-07-22 19:01:37.381887731 +0200 @@ -2,7 +2,7 @@ <service name="tar_scm" mode="manual"> <param name="url">https://github.com/pandas-dev/pandas.git</param> <param name="scm">git</param> - <param name="revision">v2.3.3</param> + <param name="revision">v3.0.3</param> <param name="versionformat">@PARENT_TAG@</param> <param name="versionrewrite-pattern">v(.*)</param> <param name="filename">pandas</param> ++++++ pandas-2.3.3.tar.gz -> pandas-3.0.3.tar.gz ++++++ /work/SRC/openSUSE:Factory/python-pandas/pandas-2.3.3.tar.gz /work/SRC/openSUSE:Factory/.python-pandas.new.24530/pandas-3.0.3.tar.gz differ: char 14, line 1
