Accepting request 949618 from devel:languages:python:numeric

OBS-URL: https://build.opensuse.org/request/show/949618
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-pandas?expand=0&rev=40
This commit is contained in:
Dominique Leuenberger 2022-02-03 22:16:06 +00:00 committed by Git OBS Bridge
commit 1eefc7498d
5 changed files with 142 additions and 53 deletions

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<multibuild>
<package>test</package>
<package>test-py38</package>
<package>test-py39</package>
<package>test-py310</package>
</multibuild>

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oid sha256:1e4285f5de1012de20ca46b188ccf33521bff61ba5c5ebd78b4fb28e5416a9f1
size 4736591

3
pandas-1.4.0.tar.gz Normal file
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version https://git-lfs.github.com/spec/v1
oid sha256:cdd76254c7f0a1583bd4e4781fb450d0ebf392e10d3f12e92c95575942e37df5
size 4935046

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-------------------------------------------------------------------
Tue Jan 25 19:26:46 UTC 2022 - Ben Greiner <code@bnavigator.de>
- Skip more tests on non-intel architectures
boo#1167730
-------------------------------------------------------------------
Sun Jan 23 11:52:29 UTC 2022 - Ben Greiner <code@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
-------------------------------------------------------------------
Tue Jan 4 21:56:55 UTC 2022 - Ben Greiner <code@bnavigator.de>

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@ -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 @@ Source0: https://files.pythonhosted.org/packages/source/p/pandas/pandas-%
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 @@ SKIP_TESTS+=" or test_oo_optimizable"
# 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} \