Accepting request 911980 from devel:languages:python:numeric
OBS-URL: https://build.opensuse.org/request/show/911980 OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-pandas?expand=0&rev=35
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Richard Brown
Git OBS Bridge
commit
54f1ddcb96
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version https://git-lfs.github.com/spec/v1
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oid sha256:649ecab692fade3cbfcf967ff936496b0cfba0af00a55dfaacd82bdda5cb2279
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size 5469105
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3
pandas-1.3.1.tar.gz
Normal file
3
pandas-1.3.1.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:341935a594db24f3ff07d1b34d1d231786aa9adfa84b76eab10bf42907c8aed3
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size 4724471
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@ -1,3 +1,76 @@
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-------------------------------------------------------------------
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Thu Aug 12 13:04:09 UTC 2021 - Ben Greiner <code@bnavigator.de>
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- Update to version 1.3.1
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Fixed regressions
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* Pandas could not be built on PyPy (GH42355)
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* DataFrame constructed with an older version of pandas could not
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be unpickled (GH42345)
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* Performance regression in constructing a DataFrame from a
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dictionary of dictionaries (GH42248)
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* Fixed regression in DataFrame.agg() dropping values when the
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DataFrame had an Extension Array dtype, a duplicate index, and
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axis=1 (GH42380)
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* Fixed regression in DataFrame.astype() changing the order of
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noncontiguous data (GH42396)
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* Performance regression in DataFrame in reduction operations
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requiring casting such as DataFrame.mean() on integer data
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(GH38592)
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* Performance regression in DataFrame.to_dict() and Series.to_dict
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() when orient argument one of “records”, “dict”, or “split”
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(GH42352)
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* Fixed regression in indexing with a list subclass incorrectly
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raising TypeError (GH42433, GH42461)
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* Fixed regression in DataFrame.isin() and Series.isin() raising
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TypeError with nullable data containing at least one missing
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value (GH42405)
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* Regression in concat() between objects with bool dtype and
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integer dtype casting to object instead of to integer (GH42092)
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* Bug in Series constructor not accepting a dask.Array (GH38645)
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* Fixed regression for SettingWithCopyWarning displaying
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incorrect stacklevel (GH42570)
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* Fixed regression for merge_asof() raising KeyError when one of
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the by columns is in the index (GH34488)
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* Fixed regression in to_datetime() returning pd.NaT for inputs
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that produce duplicated values, when cache=True (GH42259)
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* Fixed regression in SeriesGroupBy.value_counts() that resulted
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in an IndexError when called on a Series with one row (GH42618)
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* Fixed bug in DataFrame.transpose() dropping values when the
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DataFrame had an Extension Array dtype and a duplicate index
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(GH42380)
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* Fixed bug in DataFrame.to_xml() raising KeyError when called
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with index=False and an offset index (GH42458)
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* Fixed bug in Styler.set_sticky() not handling index names
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correctly for single index columns case (GH42537)
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* Fixed bug in DataFrame.copy() failing to consolidate blocks in
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the result (GH42579)
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-------------------------------------------------------------------
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Thu Jul 22 01:54:09 UTC 2021 - Arun Persaud <arun@gmx.de>
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- specfile:
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* update requirements
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* README.rst ->README.md
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- update to version 1.3.0:
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* long changelog, see https://pandas.pydata.org/pandas-docs/stable/whatsnew/v1.3.0.html
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- changes from version 1.2.5:
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* Fixed regression in concat() between two DataFrame where one has
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an Index that is all-None and the other is DatetimeIndex
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incorrectly raising (GH40841)
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* Fixed regression in DataFrame.sum() and DataFrame.prod() when
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min_count and numeric_only are both given (GH41074)
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* Fixed regression in read_csv() when using memory_map=True with an
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non-UTF8 encoding (GH40986)
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* Fixed regression in DataFrame.replace() and Series.replace() when
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the values to replace is a NumPy float array (GH40371)
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* Fixed regression in ExcelFile() when a corrupt file is opened but
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not closed (GH41778)
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* Fixed regression in DataFrame.astype() with dtype=str failing to
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convert NaN in categorical columns (GH41797)
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- Unpack some files required for testing
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-------------------------------------------------------------------
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Mon May 3 01:33:01 UTC 2021 - Arun Persaud <arun@gmx.de>
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@ -1,5 +1,5 @@
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#
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# spec file for package python-pandas-test
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# spec file
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#
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# Copyright (c) 2021 SUSE LLC
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#
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@ -28,7 +28,7 @@
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%bcond_with test
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%endif
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Name: python-pandas%{psuffix}
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Version: 1.2.4
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Version: 1.3.1
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Release: 0
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Summary: Python data structures for data analysis, time series, and statistics
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License: BSD-3-Clause
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@ -38,15 +38,15 @@ Source0: https://files.pythonhosted.org/packages/source/p/pandas/pandas-%
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BuildRequires: %{python_module Cython >= 0.29.21}
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BuildRequires: %{python_module Jinja2}
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BuildRequires: %{python_module devel >= 3.7.1}
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BuildRequires: %{python_module numpy >= 1.16.5}
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BuildRequires: %{python_module numpy >= 1.17.3}
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BuildRequires: %{python_module numpy-devel >= 1.16.5}
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BuildRequires: %{python_module python-dateutil >= 2.7.3}
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BuildRequires: %{python_module pytz >= 2017.3}
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BuildRequires: %{python_module setuptools >= 24.2.0}
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BuildRequires: %{python_module setuptools >= 38.6.0}
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BuildRequires: fdupes
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BuildRequires: gcc-c++
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BuildRequires: python-rpm-macros
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Requires: python-numpy >= 1.16.5
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Requires: python-numpy >= 1.17.3
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Requires: python-python-dateutil >= 2.7.3
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Requires: python-pytz >= 2017.3
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Recommends: python-Bottleneck >= 1.2.1
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@ -65,17 +65,17 @@ Suggests: python-html5lib >= 1.0.1
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Suggests: python-lxml >= 4.3.0
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Suggests: python-matplotlib >= 2.2.3
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Suggests: python-numba >= 0.46.0
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Suggests: python-openpyxl >= 2.6.0
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Suggests: python-openpyxl >= 3.0.0
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Suggests: python-pandas-gbq >= 0.12.0
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Suggests: python-psycopg2 >= 2.7
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Suggests: python-pyarrow >= 0.15.0
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Suggests: python-pyarrow >= 0.17.0
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Suggests: python-pyreadstat
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Suggests: python-qt5
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Suggests: python-s3fs >= 0.4.0
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Suggests: python-scipy >= 1.12.0
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Suggests: python-tables >= 3.5.1
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Suggests: python-tabulate >= 0.8.3
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Suggests: python-xarray >= 0.8.2
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Suggests: python-tabulate >= 0.8.7
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Suggests: python-xarray >= 0.12.0
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Suggests: python-xlrd >= 1.2.0
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Suggests: python-xlsb >= 1.0.6
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Suggests: python-zlib
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@ -85,15 +85,15 @@ Obsoletes: python-pandas-doc < %{version}
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Provides: python-pandas-doc = %{version}
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%if %{with test}
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BuildRequires: %{python_module Bottleneck >= 1.2.1}
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BuildRequires: %{python_module SQLAlchemy >= 1.1.4}
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BuildRequires: %{python_module XlsxWriter >= 0.9.8}
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BuildRequires: %{python_module SQLAlchemy >= 1.3.0}
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BuildRequires: %{python_module XlsxWriter >= 1.0.2}
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BuildRequires: %{python_module beautifulsoup4 >= 4.6.0}
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BuildRequires: %{python_module hypothesis}
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BuildRequires: %{python_module lxml >= 4.3.0}
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BuildRequires: %{python_module numexpr >= 2.6.8}
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BuildRequires: %{python_module openpyxl >= 2.6.0}
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BuildRequires: %{python_module numexpr >= 2.7.0}
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BuildRequires: %{python_module openpyxl >= 3.0.0}
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BuildRequires: %{python_module pandas = %{version}}
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BuildRequires: %{python_module pytest >= 5.0.1}
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BuildRequires: %{python_module pytest >= 6.0}
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BuildRequires: %{python_module pytest-mock}
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BuildRequires: %{python_module pytest-xdist}
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BuildRequires: %{python_module xlrd >= 1.2.0}
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@ -111,6 +111,14 @@ block for doing data analysis in Python.
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%prep
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%if !%{with test}
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%setup -q -n pandas-%{version}
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%else
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%setup -c -n pandas-%{version} -T
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cd ..
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# unpack only the files we need for testing
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tar xf %{SOURCE0} \
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pandas-%{version}/pyproject.toml \
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pandas-%{version}/pandas/io/formats/templates/html.tpl
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sed -i 's/--strict-data-files//' pandas-%{version}/pyproject.toml
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%endif
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%build
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@ -123,13 +131,15 @@ export CFLAGS="%{optflags} -fno-strict-aliasing"
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%if !%{with test}
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%python_install
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%{python_expand sed -i -e 's|"python", "-c",|"%{__$python}", "-c",|' %{buildroot}%{$python_sitearch}/pandas/tests/io/test_compression.py
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# don't install devel files
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rm -r %{buildroot}%{$python_sitearch}/pandas/_libs/src
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rm -r %{buildroot}%{$python_sitearch}/pandas/_libs/tslibs/src
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%fdupes %{buildroot}%{$python_sitearch}
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}
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%endif
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%check
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%if %{with test}
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export http_proxy=http://1.2.3.4 https_proxy=http://1.2.3.4;
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export LANG=en_US.UTF-8
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export LC_ALL=en_US.UTF-8
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export PYTHONDONTWRITEBYTECODE=1
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@ -143,6 +153,8 @@ SKIP_TESTS+=" or test_oo_optimizable"
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# https://github.com/pandas-dev/pandas/issues/39096
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# https://github.com/pandas-dev/pandas/issues/36579
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SKIP_TESTS+=" or (test_misc and test_memory_usage and series and empty and index)"
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# no network -- https://github.com/pandas-dev/pandas/pull/42354
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SKIP_TESTS+=" or test_wrong_url"
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%ifarch %{ix86}
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# overflows on i586
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SKIP_TESTS+=" or test_encode_non_c_locale"
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@ -161,12 +173,14 @@ fi
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%endif
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%{python_expand $python -c 'import pandas; print(pandas.__path__); print(pandas.show_versions())'
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# -n 4: The test collection consumes a lot of memory per worker. Sync with constraints file
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# -c pyproject.toml: get the marker declarations
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# cache: can't just say no cacheprovider, because one test checks for the --lf option of pytest-cache
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# --skip-* arguments: Upstreams custom way to skip marked tests. These do not use pytest.mark.
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# clipboard marker: not set up properly in build service
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# need to specify test path directly instead of --pyargs pandas in order
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# to find all conftest.py files https://github.com/pytest-dev/pytest/issues/1596
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xvfb-run pytest-%{$python_bin_suffix} -v -n 4 \
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-c pyproject.toml \
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-o cache_dir=$PWD/.pytest_cache --cache-clear \
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--skip-network %{?test_fast} \
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-m "not clipboard" \
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@ -178,7 +192,7 @@ xvfb-run pytest-%{$python_bin_suffix} -v -n 4 \
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%if !%{with test}
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%files %{python_files}
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%license LICENSE
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%doc doc/README.rst RELEASE.md
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%doc README.md RELEASE.md
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%{python_sitearch}/pandas/
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%{python_sitearch}/pandas-%{version}-py*.egg-info
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%endif
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