dev-python/pandas: Bump to 3.0.0_rc1

Signed-off-by: Michał Górny <mgorny@gentoo.org>
This commit is contained in:
Michał Górny 2025-12-20 08:06:07 +01:00
parent c7bedc1b51
commit f6c279524d
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@ -3,3 +3,5 @@ DIST pandas-2.3.0.tar.gz 4484490 BLAKE2B 4fa8ad780e47bb9cfd6dfe3ea89d7c217d2d9bf
DIST pandas-2.3.1.tar.gz 4487493 BLAKE2B d20f7f7b16e02d70f7cef228a20d0b1a1e7a8f4f2376f723b96ea38ca0df6e4bb9943b7ecf5d9f1f614e76f0b4bf84cf94c9a8768a8c5c045595bc052b7763bc SHA512 8d87295b7150708dfcd0d313933aa8ab056cd62eb404a540d3e96df16a5f78921fe1a56fbee15af2d159990465cc1bd939520fa640365b3ac892704dba991aea DIST pandas-2.3.1.tar.gz 4487493 BLAKE2B d20f7f7b16e02d70f7cef228a20d0b1a1e7a8f4f2376f723b96ea38ca0df6e4bb9943b7ecf5d9f1f614e76f0b4bf84cf94c9a8768a8c5c045595bc052b7763bc SHA512 8d87295b7150708dfcd0d313933aa8ab056cd62eb404a540d3e96df16a5f78921fe1a56fbee15af2d159990465cc1bd939520fa640365b3ac892704dba991aea
DIST pandas-2.3.2.tar.gz 4488684 BLAKE2B d63a81eb06806ed80847322741f0e3e34c8a51af4794b0a18816ae2e10fd27c25b015da95f4a6c2cfb9767b9388025a3b5522817f9013b50c589d5ecf7ae7f64 SHA512 4cbc4db60e36f07e483322eb734d229ef67af042a8f8be5f2285b3607f1a1f122ecdd95884ea12b1850b5d98423e2d0895fa5c738df6b40ff1950fe6d4371708 DIST pandas-2.3.2.tar.gz 4488684 BLAKE2B d63a81eb06806ed80847322741f0e3e34c8a51af4794b0a18816ae2e10fd27c25b015da95f4a6c2cfb9767b9388025a3b5522817f9013b50c589d5ecf7ae7f64 SHA512 4cbc4db60e36f07e483322eb734d229ef67af042a8f8be5f2285b3607f1a1f122ecdd95884ea12b1850b5d98423e2d0895fa5c738df6b40ff1950fe6d4371708
DIST pandas-2.3.3.tar.gz 4495223 BLAKE2B c31604617900d439020dcdd66fcbca1cf3b720b6f4dd8ea51891946ad04774754cf7636a2ffb9fe746d15911a88153d36d4033b6a0207e9c7a1653a0f677570d SHA512 4179acb9fd9d1c5d543bb19b22483b4c2b17a36d5b10270a02ff4d8370b43c16a93673bf5509a5b1d1c960c0fde9238bbbf5b309c6745d2abf3d934535f3fd85 DIST pandas-2.3.3.tar.gz 4495223 BLAKE2B c31604617900d439020dcdd66fcbca1cf3b720b6f4dd8ea51891946ad04774754cf7636a2ffb9fe746d15911a88153d36d4033b6a0207e9c7a1653a0f677570d SHA512 4179acb9fd9d1c5d543bb19b22483b4c2b17a36d5b10270a02ff4d8370b43c16a93673bf5509a5b1d1c960c0fde9238bbbf5b309c6745d2abf3d934535f3fd85
DIST pandas-3.0.0rc1.tar.gz 4591349 BLAKE2B c724a6415d3769e23166e845a86554d4ec359b79c68a5714495def119dd3228a5b2c428757c7ea8e78e713623b222ef9ecec1908520f8cdc3080c595ecfcdf5a SHA512 e30ec13c82ad93f841c339d5c73d4574c37ee40adfea1d6bbe50c7281ad50715b772f90650a98c8f61c7445f2a055e715f2375d1e1ff694b90cffd14a3a0fd36
DIST pandas-3.0.0rc1.tar.gz.provenance 9566 BLAKE2B c959e091ed7e67c746539a34da5f0991cc3a3e713834e9d017dc0790d827634063d0881e62767ff9abeb4450eba826e11967b0ccdc6c61933c3a4bc6929943f0 SHA512 b4720fd67511b5f3d5b1b5a5232a812d4d4785e8b7ec8cea69b19d46e31c6652ba174361571bf08a488a945f07c8c384d3e26ef3cccb7ddb7f8538e9e9460fd0

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@ -0,0 +1,200 @@
# Copyright 1999-2025 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
DISTUTILS_EXT=1
DISTUTILS_USE_PEP517=meson-python
PYPI_VERIFY_REPO=https://github.com/pandas-dev/pandas
PYTHON_COMPAT=( python3_{11..14} )
PYTHON_REQ_USE="threads(+)"
VIRTUALX_REQUIRED="manual"
inherit distutils-r1 optfeature pypi toolchain-funcs virtualx
DESCRIPTION="Powerful data structures for data analysis and statistics"
HOMEPAGE="
https://pandas.pydata.org/
https://github.com/pandas-dev/pandas/
https://pypi.org/project/pandas/
"
LICENSE="BSD"
SLOT="0"
if [[ ${PV} != *_rc* ]]; then
KEYWORDS="~amd64 ~arm64 ~riscv ~x86"
fi
IUSE="big-endian full-support minimal test X"
RESTRICT="!test? ( test )"
RECOMMENDED_DEPEND="
>=dev-python/bottleneck-1.3.4[${PYTHON_USEDEP}]
>=dev-python/numexpr-2.8.0[${PYTHON_USEDEP}]
"
# TODO: add pandas-gbq to the tree
# TODO: Re-add dev-python/statsmodel[python3_11] dep once it supports python3_11
# https://github.com/statsmodels/statsmodels/issues/8287
OPTIONAL_DEPEND="
>=dev-python/beautifulsoup4-4.14.2[${PYTHON_USEDEP}]
dev-python/blosc[${PYTHON_USEDEP}]
>=dev-python/html5lib-1.1[${PYTHON_USEDEP}]
>=dev-python/jinja2-3.1.2[${PYTHON_USEDEP}]
>=dev-python/lxml-4.8.0[${PYTHON_USEDEP}]
>=dev-python/matplotlib-3.6.1[${PYTHON_USEDEP}]
>=dev-python/openpyxl-3.0.7[${PYTHON_USEDEP}]
>=dev-python/sqlalchemy-1.4.36[${PYTHON_USEDEP}]
>=dev-python/tabulate-0.8.10[${PYTHON_USEDEP}]
>=dev-python/xarray-2022.3.0[${PYTHON_USEDEP}]
>=dev-python/xlrd-2.0.1[${PYTHON_USEDEP}]
>=dev-python/xlsxwriter-3.0.3[${PYTHON_USEDEP}]
>=dev-python/xlwt-1.3.0[${PYTHON_USEDEP}]
!arm? ( !hppa? ( !ppc? ( !x86? (
>=dev-python/scipy-1.8.1[${PYTHON_USEDEP}]
dev-python/statsmodels[${PYTHON_USEDEP}]
) ) ) )
!big-endian? (
>=dev-python/tables-3.7.0[${PYTHON_USEDEP}]
)
X? (
|| (
>=dev-python/pyqt5-5.15.6[${PYTHON_USEDEP}]
>=dev-python/qtpy-2.2.0[${PYTHON_USEDEP}]
x11-misc/xclip
x11-misc/xsel
)
)
"
DEPEND="
>=dev-python/numpy-1.23.2:=[${PYTHON_USEDEP}]
"
COMMON_DEPEND="
${DEPEND}
>=dev-python/python-dateutil-2.8.2[${PYTHON_USEDEP}]
"
BDEPEND="
${COMMON_DEPEND}
>=dev-build/meson-1.2.1
>=dev-python/cython-3.0.5[${PYTHON_USEDEP}]
>=dev-python/versioneer-0.28[${PYTHON_USEDEP}]
test? (
${VIRTUALX_DEPEND}
${RECOMMENDED_DEPEND}
${OPTIONAL_DEPEND}
dev-libs/apache-arrow[brotli,parquet,snappy]
>=dev-python/beautifulsoup4-4.14.2[${PYTHON_USEDEP}]
>=dev-python/hypothesis-6.46.1[${PYTHON_USEDEP}]
>=dev-python/openpyxl-3.0.10[${PYTHON_USEDEP}]
>=dev-python/pyarrow-10.0.1[parquet,${PYTHON_USEDEP}]
>=dev-python/pymysql-1.0.2[${PYTHON_USEDEP}]
>=dev-python/xlsxwriter-3.0.3[${PYTHON_USEDEP}]
x11-misc/xclip
x11-misc/xsel
)
"
RDEPEND="
${COMMON_DEPEND}
!minimal? ( ${RECOMMENDED_DEPEND} )
full-support? ( ${OPTIONAL_DEPEND} )
"
EPYTEST_PLUGINS=()
EPYTEST_XDIST=1
distutils_enable_tests pytest
src_test() {
virtx distutils-r1_src_test
}
python_test() {
# Note; deselects relative to pandas/
local EPYTEST_DESELECT=(
# missing data not covered by --no-strict-data-files?
# https://github.com/pandas-dev/pandas/issues/63437
tests/io/test_common.py::test_read_csv_chained_url_no_error
# require -Werror
# https://github.com/pandas-dev/pandas/pull/63436
tests/config/test_config.py::TestConfig::test_case_insensitive
# deprecation warning
'tests/computation/test_eval.py::TestEval::test_scalar_unary[numexpr-pandas]'
)
if ! tc-has-64bit-time_t; then
EPYTEST_DESELECT+=(
# Needs 64-bit time_t (TODO: split into 32-bit arch only section)
tests/tseries/offsets/test_year.py::test_add_out_of_pydatetime_range
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BusinessDay]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BusinessHour]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BusinessMonthEnd]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BusinessMonthBegin]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BQuarterEnd]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BQuarterBegin]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-CustomBusinessDay]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-CustomBusinessHour]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-CustomBusinessMonthEnd]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-CustomBusinessMonthBegin]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-MonthEnd]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-MonthBegin]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-SemiMonthBegin]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-SemiMonthEnd]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-QuarterEnd]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-LastWeekOfMonth]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-WeekOfMonth]'
'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-Week]'
)
fi
if ! has_version "dev-python/scipy[${PYTHON_USEDEP}]"; then
EPYTEST_DESELECT+=(
tests/plotting/test_misc.py::test_savefig
)
fi
case ${EPYTHON} in
python3.14)
EPYTEST_DESELECT+=(
'tests/computation/test_eval.py::TestEval::test_simple_cmp_ops[float-float-numexpr-pandas-in]'
'tests/computation/test_eval.py::TestEval::test_simple_cmp_ops[float-float-numexpr-pandas-not in]'
'tests/computation/test_eval.py::TestEval::test_simple_cmp_ops[float-float-python-pandas-in]'
'tests/computation/test_eval.py::TestEval::test_simple_cmp_ops[float-float-python-pandas-not in]'
'tests/computation/test_eval.py::TestEval::test_compound_invert_op[float-float-numexpr-pandas-in]'
'tests/computation/test_eval.py::TestEval::test_compound_invert_op[float-float-numexpr-pandas-not in]'
'tests/computation/test_eval.py::TestEval::test_compound_invert_op[float-float-python-pandas-in]'
'tests/computation/test_eval.py::TestEval::test_compound_invert_op[float-float-python-pandas-not in]'
'tests/computation/test_eval.py::TestOperations::test_simple_arith_ops[numexpr-pandas]'
'tests/computation/test_eval.py::TestOperations::test_simple_arith_ops[python-pandas]'
)
;;
esac
local -x LC_ALL=C.UTF-8
cd "${BUILD_DIR}/install$(python_get_sitedir)" || die
"${EPYTHON}" -c "import pandas; pandas.show_versions()" || die
# nonfatal from virtx
# --no-strict-data-files is necessary since upstream prevents data
# files from even being included in GitHub archives, sigh
# https://github.com/pandas-dev/pandas/issues/54907
nonfatal epytest pandas/tests \
--no-strict-data-files -o xfail_strict=false \
-m "not single_cpu and not slow and not network and not db" ||
die "Tests failed with ${EPYTHON}"
}
pkg_postinst() {
optfeature "accelerating certain types of NaN evaluations, using specialized cython routines to achieve large speedups." dev-python/bottleneck
optfeature "accelerating certain numerical operations, using multiple cores as well as smart chunking and caching to achieve large speedups" ">=dev-python/numexpr-2.1"
optfeature "needed for pandas.io.html.read_html" dev-python/beautifulsoup4 dev-python/html5lib dev-python/lxml
optfeature "for msgpack compression using blosc" dev-python/blosc
optfeature "Template engine for conditional HTML formatting" dev-python/jinja2
optfeature "Plotting support" dev-python/matplotlib
optfeature "Needed for Excel I/O" ">=dev-python/openpyxl-3.0.10" dev-python/xlsxwriter dev-python/xlrd dev-python/xlwt
optfeature "necessary for HDF5-based storage" ">=dev-python/tables-3.7.0"
optfeature "R I/O support" dev-python/rpy2
optfeature "Needed for parts of pandas.stats" dev-python/statsmodels
optfeature "SQL database support" ">=dev-python/sqlalchemy-1.4.36"
optfeature "miscellaneous statistical functions" dev-python/scipy
optfeature "necessary to use pandas.io.clipboard.read_clipboard support" dev-python/pyqt5 dev-python/qtpy x11-misc/xclip x11-misc/xsel
}