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 2022-02-03 23:16:06 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Comparing /work/SRC/openSUSE:Factory/python-pandas (Old) and /work/SRC/openSUSE:Factory/.python-pandas.new.1898 (New) ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "python-pandas" Thu Feb 3 23:16:06 2022 rev:40 rq:949618 version:1.4.0 Changes: -------- --- /work/SRC/openSUSE:Factory/python-pandas/python-pandas.changes 2022-01-07 12:45:13.963797606 +0100 +++ /work/SRC/openSUSE:Factory/.python-pandas.new.1898/python-pandas.changes 2022-02-03 23:16:31.412597589 +0100 @@ -1,0 +2,52 @@ +Tue Jan 25 19:26:46 UTC 2022 - Ben Greiner <c...@bnavigator.de> + +- Skip more tests on non-intel architectures + boo#1167730 + +------------------------------------------------------------------- +Sun Jan 23 11:52:29 UTC 2022 - Ben Greiner <c...@bnavigator.de> + +- Update to version 1.4.0 + * https://pandas.pydata.org/docs/whatsnew/v1.4.0.html + * Enhancements + - Improved warning messages + - Index can hold arbitrary ExtensionArrays + - Enhancements in Styler + - Multi-threaded CSV reading with a new CSV Engine based on + pyarrow + - Rank function for rolling and expanding windows + - Groupby positional indexing + - DataFrame.from_dict and DataFrame.to_dict have new 'tight' + option + * Notable bug fixes + - Inconsistent date string parsing + - Ignoring dtypes in concat with empty or all-NA columns + - Null-values are no longer coerced to NaN-value in + value_counts and mode + - mangle_dupe_cols in read_csv no longer renames unique columns + conflicting with target names + - unstack and pivot_table no longer raises ValueError for + result that would exceed int32 limit + - groupby.apply consistent transform detection + * API changes + - Index.get_indexer_for() no longer accepts keyword arguments + (other than target); in the past these would be silently + ignored if the index was not unique (GH42310) + - Change in the position of the min_rows argument in + DataFrame.to_string() due to change in the docstring + (GH44304) + - Reduction operations for DataFrame or Series now raising a + ValueError when None is passed for skipna (GH44178) + - read_csv() and read_html() no longer raising an error when + one of the header rows consists only of Unnamed: columns + (GH13054) + - Changed the name attribute of several holidays in + USFederalHolidayCalendar to match official federal holiday + names. + * Deprecations + - Deprecated Int64Index, UInt64Index & Float64Index + - Deprecated Frame.append and Series.append +- Split out test runs into separate flavors, optimize memory usage + in pytest-xdist runs + +------------------------------------------------------------------- Old: ---- pandas-1.3.5.tar.gz New: ---- pandas-1.4.0.tar.gz ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Other differences: ------------------ ++++++ python-pandas.spec ++++++ --- /var/tmp/diff_new_pack.aU5qTb/_old 2022-02-03 23:16:32.056593194 +0100 +++ /var/tmp/diff_new_pack.aU5qTb/_new 2022-02-03 23:16:32.060593166 +0100 @@ -16,19 +16,34 @@ # -%{?!python_module:%define python_module() python3-%{**}} -%define skip_python2 1 -%define skip_python36 1 %global flavor @BUILD_FLAVOR@%{nil} -%if "%{flavor}" == "test" -%define psuffix -test +%if "%{flavor}" == "test-py38" +%define psuffix -test-py38 +%define skip_python39 1 +%define skip_python310 1 %bcond_without test -%else +%endif +%if "%{flavor}" == "test-py39" +%define psuffix -test-py39 +%define skip_python38 1 +%define skip_python310 1 +%bcond_without test +%endif +%if "%{flavor}" == "test-py310" +%define psuffix -test-py310 +%define skip_python38 1 +%define skip_python39 1 +%bcond_without test +%endif +%if "%{flavor}" == "" %define psuffix %{nil} %bcond_with test %endif + +%{?!python_module:%define python_module() python3-%{**}} +%define skip_python2 1 Name: python-pandas%{psuffix} -Version: 1.3.5 +Version: 1.4.0 Release: 0 Summary: Python data structures for data analysis, time series, and statistics License: BSD-3-Clause @@ -38,65 +53,66 @@ BuildRequires: %{python_module Cython >= 0.29.21} BuildRequires: %{python_module Jinja2} BuildRequires: %{python_module devel >= 3.7.1} -BuildRequires: %{python_module numpy >= 1.17.3} -BuildRequires: %{python_module numpy-devel >= 1.16.5} -BuildRequires: %{python_module python-dateutil >= 2.7.3} -BuildRequires: %{python_module pytz >= 2017.3} +BuildRequires: %{python_module numpy-devel >= 1.18.5} +BuildRequires: %{python_module python-dateutil >= 2.8.1} +BuildRequires: %{python_module pytz >= 2020.1} BuildRequires: %{python_module setuptools >= 51.0.0} BuildRequires: fdupes BuildRequires: gcc-c++ BuildRequires: python-rpm-macros -Requires: python-numpy >= 1.17.3 -Requires: python-python-dateutil >= 2.7.3 -Requires: python-pytz >= 2017.3 -Recommends: python-Bottleneck >= 1.2.1 -Recommends: python-numexpr >= 2.6.8 +Requires: python-numpy >= 1.18.5 +Requires: python-python-dateutil >= 2.8.1 +Requires: python-pytz >= 2020.1 +Recommends: python-Bottleneck >= 1.3.1 +Recommends: python-numexpr >= 2.7.1 Suggests: python-Jinja2 >= 2.10 -Suggests: python-PyMySQL >= 0.8.1 -Suggests: python-SQLAlchemy >= 1.3.0 -Suggests: python-XlsxWriter >= 1.0.2 -Suggests: python-beautifulsoup4 >= 4.6.0 +Suggests: python-PyMySQL >= 0.10.1 +Suggests: python-SQLAlchemy >= 1.4.0 +Suggests: python-XlsxWriter >= 1.2.2 +Suggests: python-beautifulsoup4 >= 4.8.2 Suggests: python-blosc >= 1.17.0 Suggests: python-fastparquet >= 0.4.0 Suggests: python-fsspec >= 0.7.4 Suggests: python-gcsfs >= 0.6.0 Suggests: python-html5lib >= 1.0.1 -Suggests: python-lxml >= 4.3.0 -Suggests: python-matplotlib >= 2.2.3 -Suggests: python-openpyxl >= 3.0.0 -Suggests: python-pandas-gbq >= 0.12.0 +Suggests: python-lxml >= 4.5.0 +Suggests: python-matplotlib >= 3.3.2 +Suggests: python-numba >= 0.50.1 +Suggests: python-openpyxl >= 3.0.3 +Suggests: python-pandas-gbq >= 0.14.0 Suggests: python-psycopg2 >= 2.7 -Suggests: python-pyarrow >= 0.17.0 +Suggests: python-pyarrow >= 1.0.1 Suggests: python-pyreadstat Suggests: python-qt5 Suggests: python-s3fs >= 0.4.0 -Suggests: python-scipy >= 1.12.0 -Suggests: python-tables >= 3.5.1 +Suggests: python-scipy >= 1.4.1 +Suggests: python-tables >= 3.6.1 Suggests: python-tabulate >= 0.8.7 -Suggests: python-xarray >= 0.12.0 +Suggests: python-xarray >= 0.15.1 Suggests: python-xlrd >= 1.2.0 -Suggests: python-xlsb >= 1.0.6 +Suggests: python-xlwt >= 1.3.0 Suggests: python-zlib Suggests: xclip Suggests: xsel Obsoletes: python-pandas-doc < %{version} Provides: python-pandas-doc = %{version} %if %{with test} -BuildRequires: %{python_module Bottleneck >= 1.2.1} -BuildRequires: %{python_module SQLAlchemy >= 1.3.0} -BuildRequires: %{python_module XlsxWriter >= 1.0.2} -BuildRequires: %{python_module beautifulsoup4 >= 4.6.0} +BuildRequires: %{python_module Bottleneck >= 1.3.1} +BuildRequires: %{python_module SQLAlchemy >= 1.4.0} +BuildRequires: %{python_module XlsxWriter >= 1.2.2} +BuildRequires: %{python_module beautifulsoup4 >= 4.8.2} BuildRequires: %{python_module hypothesis} -BuildRequires: %{python_module lxml >= 4.3.0} -BuildRequires: %{python_module matplotlib} -BuildRequires: %{python_module numexpr >= 2.7.0} -BuildRequires: %{python_module openpyxl >= 3.0.0} +BuildRequires: %{python_module lxml >= 4.5.0} +BuildRequires: %{python_module matplotlib >= 3.3.2} +BuildRequires: %{python_module numexpr >= 2.7.1} +BuildRequires: %{python_module openpyxl >= 3.0.3} BuildRequires: %{python_module pandas = %{version}} BuildRequires: %{python_module pytest >= 6.0} BuildRequires: %{python_module pytest-mock} BuildRequires: %{python_module pytest-xdist} -BuildRequires: %{python_module scipy} -BuildRequires: %{python_module xlrd >= 1.2.0} +BuildRequires: %{python_module scipy >= 1.4.1} +BuildRequires: %{python_module xlrd >= 2.0.1} +BuildRequires: memory-constraints BuildRequires: xclip BuildRequires: xvfb-run %endif @@ -153,33 +169,52 @@ # https://github.com/pandas-dev/pandas/issues/39096 # https://github.com/pandas-dev/pandas/issues/36579 SKIP_TESTS+=" or (test_misc and test_memory_usage and series and empty and index)" -# no network -- https://github.com/pandas-dev/pandas/pull/42354 -SKIP_TESTS+=" or test_wrong_url" -%ifarch %{ix86} -# overflows on i586 -SKIP_TESTS+=" or test_encode_non_c_locale" -# fails on i586 (was gcc10-skip-one-test.patch) -SKIP_TESTS+=" or test_merge_on_ints_floats_warning" -%endif +# pytest-xdist worker crash +SKIP_TESTS+=" or test_pivot_number_of_levels_larger_than_int32" if [ $(getconf LONG_BIT) -eq 32 ]; then # https://github.com/pandas-dev/pandas/issues/31856 SKIP_TESTS+=" or test_maybe_promote_int_with_int" # rounding error SKIP_TESTS+=" or (test_rolling_quantile_interpolation_options and data1 and linear and 0.1)" fi +%ifarch %{ix86} +# overflows on i586 +SKIP_TESTS+=" or test_encode_non_c_locale" +# fails on i586 (was gcc10-skip-one-test.patch) +SKIP_TESTS+=" or test_merge_on_ints_floats_warning" +%endif +%ifarch ppc64 s390x +# big endian type issues +SKIP_TESTS+=" or test_astype" +SKIP_TESTS+=" or test_to_numpy_string" +SKIP_TESTS+=" or (test_construction and test_to_numpy)" +SKIP_TESTS+=" or test_to_records_index_name" +SKIP_TESTS+=" or test_to_records_dtype" +SKIP_TESTS+=" or test_to_records_dict_like" +SKIP_TESTS+=" or (test_c_parser_only and test_unsupported_dtype)" +SKIP_TESTS+=" or test_td_mul_td64_ndarray_invalid" +%endif %ifnarch x86_64 +# type and numeric precision issues, partially reported for arm and marked xfail upstream but not for e.g. ppc +SKIP_TESTS+=" or (test_astype and test_subtype_integer_errors)" +SKIP_TESTS+=" or (test_to_numeric and test_downcast_nullable_numeric and data12-UInt64-signed-UInt64)" +SKIP_TESTS+=" or (test_rolling and test_rolling_var_numerical_issues)" +SKIP_TESTS+=" or (test_groupby and test_groupby_numerical_stability_sum_mean)" +SKIP_TESTS+=" or (test_groupby and test_groupby_numerical_stability_cumsum)" +SKIP_TESTS+=" or (test_c_parser_only and test_float_precision_options)" # run the slow tests only on x86_64 %define test_fast --skip-slow --skip-db %endif +# The test collection consumes a lot of memory per worker. This sets %%jobs. +%limit_build -m 2048 %{python_expand $python -c 'import pandas; print(pandas.__path__); print(pandas.show_versions())' -# -n 4: The test collection consumes a lot of memory per worker. Sync with constraints file # -c pyproject.toml: get the marker declarations # cache: can't just say no cacheprovider, because one test checks for the --lf option of pytest-cache # --skip-* arguments: Upstreams custom way to skip marked tests. These do not use pytest.mark. # clipboard marker: not set up properly in build service # need to specify test path directly instead of --pyargs pandas in order # to find all conftest.py files https://github.com/pytest-dev/pytest/issues/1596 -xvfb-run pytest-%{$python_bin_suffix} -v -n 4 \ +xvfb-run pytest-%{$python_bin_suffix} -v -n %jobs \ -c pyproject.toml \ -o cache_dir=$PWD/.pytest_cache --cache-clear \ --skip-network %{?test_fast} \ ++++++ _multibuild ++++++ --- /var/tmp/diff_new_pack.aU5qTb/_old 2022-02-03 23:16:32.112592812 +0100 +++ /var/tmp/diff_new_pack.aU5qTb/_new 2022-02-03 23:16:32.116592784 +0100 @@ -1,4 +1,6 @@ <multibuild> - <package>test</package> + <package>test-py38</package> + <package>test-py39</package> + <package>test-py310</package> </multibuild> ++++++ pandas-1.3.5.tar.gz -> pandas-1.4.0.tar.gz ++++++ ++++ 173297 lines of diff (skipped)
