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217 lines
8.8 KiB
217 lines
8.8 KiB
# Copyright 1999-2024 Gentoo Authors
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# Distributed under the terms of the GNU General Public License v2
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EAPI=8
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DISTUTILS_EXT=1
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DISTUTILS_USE_PEP517=meson-python
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PYTHON_COMPAT=( python3_{10..12} )
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PYTHON_REQ_USE="threads(+)"
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VIRTUALX_REQUIRED="manual"
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inherit distutils-r1 multiprocessing optfeature pypi virtualx
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DESCRIPTION="Powerful data structures for data analysis and statistics"
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HOMEPAGE="
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https://pandas.pydata.org/
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https://github.com/pandas-dev/pandas/
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https://pypi.org/project/pandas/
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"
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SLOT="0"
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LICENSE="BSD"
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KEYWORDS="amd64 arm arm64 ~hppa ~ppc ~ppc64 ~riscv ~s390 ~sparc x86"
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IUSE="full-support minimal test X"
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RESTRICT="!test? ( test )"
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RECOMMENDED_DEPEND="
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>=dev-python/bottleneck-1.3.4[${PYTHON_USEDEP}]
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>=dev-python/numexpr-2.8.0[${PYTHON_USEDEP}]
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"
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# TODO: add pandas-gbq to the tree
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# TODO: Re-add dev-python/statsmodel[python3_11] dep once it supports python3_11
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# https://github.com/statsmodels/statsmodels/issues/8287
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OPTIONAL_DEPEND="
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>=dev-python/beautifulsoup4-4.11.1[${PYTHON_USEDEP}]
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dev-python/blosc[${PYTHON_USEDEP}]
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>=dev-python/html5lib-1.1[${PYTHON_USEDEP}]
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>=dev-python/jinja-3.1.2[${PYTHON_USEDEP}]
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>=dev-python/lxml-4.8.0[${PYTHON_USEDEP}]
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>=dev-python/matplotlib-3.6.1[${PYTHON_USEDEP}]
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>=dev-python/openpyxl-3.0.7[${PYTHON_USEDEP}]
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>=dev-python/sqlalchemy-1.4.36[${PYTHON_USEDEP}]
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>=dev-python/tables-3.7.0[${PYTHON_USEDEP}]
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>=dev-python/tabulate-0.8.10[${PYTHON_USEDEP}]
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>=dev-python/xarray-2022.3.0[${PYTHON_USEDEP}]
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>=dev-python/xlrd-2.0.1[${PYTHON_USEDEP}]
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>=dev-python/xlsxwriter-3.0.3[${PYTHON_USEDEP}]
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>=dev-python/xlwt-1.3.0[${PYTHON_USEDEP}]
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!x86? ( !hppa? (
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$(python_gen_cond_dep '
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dev-python/statsmodels[${PYTHON_USEDEP}]
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' python3_{8..10} )
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>=dev-python/scipy-1.8.1[${PYTHON_USEDEP}]
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) )
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X? (
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|| (
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>=dev-python/PyQt5-5.15.6[${PYTHON_USEDEP}]
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>=dev-python/QtPy-2.2.0[${PYTHON_USEDEP}]
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x11-misc/xclip
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x11-misc/xsel
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)
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)
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"
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DEPEND="
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>=dev-python/numpy-1.23.2[${PYTHON_USEDEP}]
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"
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COMMON_DEPEND="
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${DEPEND}
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>=dev-python/python-dateutil-2.8.2[${PYTHON_USEDEP}]
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>=dev-python/pytz-2020.1[${PYTHON_USEDEP}]
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"
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BDEPEND="
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${COMMON_DEPEND}
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>=dev-build/meson-1.2.1
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>=dev-python/cython-0.29.33[${PYTHON_USEDEP}]
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>=dev-python/versioneer-0.28[${PYTHON_USEDEP}]
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test? (
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${VIRTUALX_DEPEND}
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${RECOMMENDED_DEPEND}
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${OPTIONAL_DEPEND}
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>=dev-python/beautifulsoup4-4.11.1[${PYTHON_USEDEP}]
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>=dev-python/hypothesis-6.46.1[${PYTHON_USEDEP}]
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>=dev-python/openpyxl-3.0.10[${PYTHON_USEDEP}]
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>=dev-python/pymysql-1.0.2[${PYTHON_USEDEP}]
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>=dev-python/pytest-7.3.2[${PYTHON_USEDEP}]
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>=dev-python/pytest-xdist-2.2.0[${PYTHON_USEDEP}]
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>=dev-python/psycopg-2.9.3:2[${PYTHON_USEDEP}]
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>=dev-python/xlsxwriter-3.0.3[${PYTHON_USEDEP}]
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x11-misc/xclip
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x11-misc/xsel
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)
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"
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RDEPEND="
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${COMMON_DEPEND}
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dev-python/tzdata[${PYTHON_USEDEP}]
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!minimal? ( ${RECOMMENDED_DEPEND} )
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full-support? ( ${OPTIONAL_DEPEND} )
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"
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PATCHES=(
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# a quick hack, it's already fixed in main
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"${FILESDIR}/pandas-2.1.1-which.patch"
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)
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src_test() {
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virtx distutils-r1_src_test
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}
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python_test() {
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local EPYTEST_DESELECT=(
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# test for rounding errors, fails if we have better precision
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# e.g. on amd64 with FMA or on arm64
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# https://github.com/pandas-dev/pandas/issues/38921
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tests/window/test_rolling.py::test_rolling_var_numerical_issues
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# TODO; unhappy about DISPLAY?
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tests/test_downstream.py::test_seaborn
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# OOMs
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tests/io/parser/test_c_parser_only.py::test_bytes_exceed_2gb
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# TODO: numexpr says "forbidden control characters"
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tests/computation/test_eval.py::TestOperations::test_multi_line_expression_local_variable
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'tests/computation/test_eval.py::test_query_token[numexpr-Temp(\xb0C)]'
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tests/frame/test_query_eval.py::TestDataFrameQueryBacktickQuoting::test_lots_of_operators_string
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tests/frame/test_query_eval.py::TestDataFrameQueryBacktickQuoting::test_multiple_spaces
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tests/frame/test_query_eval.py::TestDataFrameQueryBacktickQuoting::test_parenthesis
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tests/frame/test_query_eval.py::TestDataFrameQueryBacktickQuoting::test_start_with_spaces
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tests/frame/test_query_eval.py::TestDataFrameQueryNumExprPandas::test_local_syntax
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tests/frame/test_query_eval.py::TestDataFrameQueryNumExprPandas::test_local_variable_with_in
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tests/frame/test_query_eval.py::TestDataFrameQueryNumExprPandas::test_nested_scope
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tests/frame/test_query_eval.py::TestDataFrameQueryNumExprPandas::test_query_scope
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# TODO: missing data not covered by --no-strict-data-files?
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tests/io/xml/test_xml.py::test_empty_stylesheet
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tests/io/xml/test_xml.py::test_wrong_file_path
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# TODO
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tests/frame/test_arithmetic.py::TestFrameFlexArithmetic::test_floordiv_axis0_numexpr_path
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# deprecation warning
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tests/io/pytables/test_retain_attributes.py::test_retain_index_attributes2
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# Needs 64-bit time_t (TODO: split into 32-bit arch only section)
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tests/tseries/offsets/test_year.py::test_add_out_of_pydatetime_range
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'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BusinessDay]'
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'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BusinessHour]'
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'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BusinessMonthEnd]'
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'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BusinessMonthBegin]'
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'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BQuarterEnd]'
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'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BQuarterBegin]'
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'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-CustomBusinessDay]'
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'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-CustomBusinessHour]'
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'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-CustomBusinessMonthEnd]'
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'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-CustomBusinessMonthBegin]'
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'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-MonthEnd]'
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'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-MonthBegin]'
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'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-SemiMonthBegin]'
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'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-SemiMonthEnd]'
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'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-QuarterEnd]'
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'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-LastWeekOfMonth]'
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'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-WeekOfMonth]'
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'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-Week]'
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# hdf / pytables have alignment problems: bug #911660
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# https://github.com/pandas-dev/pandas/issues/54396
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tests/io/pytables/test_append.py::test_append_frame_column_oriented
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tests/io/pytables/test_store.py::test_select_filter_corner
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# blosc2 version
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tests/io/pytables/test_file_handling.py::test_complibs\[blosc2-{1..9}\]
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)
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case ${EPYTHON} in
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python3.12)
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EPYTEST_DESELECT+=(
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tests/io/pytables/test_select.py::test_select_dtypes
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tests/io/pytables/test_select.py::test_frame_select
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# deprecation warnings
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tests/io/excel/test_writers.py::TestRoundTrip::test_read_excel_parse_dates
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)
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;;
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esac
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local -x LC_ALL=C.UTF-8
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cd "${BUILD_DIR}/install$(python_get_sitedir)" || die
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"${EPYTHON}" -c "import pandas; pandas.show_versions()" || die
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# --no-strict-data-files is necessary since upstream prevents data
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# files from even being included in GitHub archives, sigh
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# https://github.com/pandas-dev/pandas/issues/54907
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epytest pandas/tests \
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--no-strict-data-files \
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--maxfail=32 \
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-m "not single and not slow and not network" \
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-n "$(makeopts_jobs)" --dist=worksteal ||
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die "Tests failed with ${EPYTHON}"
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rm test-data.xml || die
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}
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pkg_postinst() {
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optfeature "accelerating certain types of NaN evaluations, using specialized cython routines to achieve large speedups." dev-python/bottleneck
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optfeature "accelerating certain numerical operations, using multiple cores as well as smart chunking and caching to achieve large speedups" ">=dev-python/numexpr-2.1"
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optfeature "needed for pandas.io.html.read_html" dev-python/beautifulsoup4 dev-python/html5lib dev-python/lxml
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optfeature "for msgpack compression using blosc" dev-python/blosc
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optfeature "Template engine for conditional HTML formatting" dev-python/jinja
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optfeature "Plotting support" dev-python/matplotlib
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optfeature "Needed for Excel I/O" ">=dev-python/openpyxl-3.0.10" dev-python/xlsxwriter dev-python/xlrd dev-python/xlwt
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optfeature "necessary for HDF5-based storage" ">=dev-python/tables-3.7.0"
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optfeature "R I/O support" dev-python/rpy
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optfeature "Needed for parts of pandas.stats" dev-python/statsmodels
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optfeature "SQL database support" ">=dev-python/sqlalchemy-1.4.36"
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optfeature "miscellaneous statistical functions" dev-python/scipy
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optfeature "necessary to use pandas.io.clipboard.read_clipboard support" dev-python/PyQt5 dev-python/QtPy dev-python/pygtk x11-misc/xclip x11-misc/xsel
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}
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