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| author | Michał Górny <mgorny@gentoo.org> | 2025-12-20 08:06:07 +0100 |
|---|---|---|
| committer | Michał Górny <mgorny@gentoo.org> | 2025-12-20 11:15:23 +0100 |
| commit | f6c279524d13c80f5d55943a6a3f33a6b41fd690 (patch) | |
| tree | 1a350fedcb32f2d988f4625ed9416615c26ce282 /dev-python | |
| parent | c7bedc1b51073d20c52818eba1c8ad4b7d522829 (diff) | |
| download | gentoo-f6c279524d13c80f5d55943a6a3f33a6b41fd690.tar.gz gentoo-f6c279524d13c80f5d55943a6a3f33a6b41fd690.tar.bz2 gentoo-f6c279524d13c80f5d55943a6a3f33a6b41fd690.zip | |
dev-python/pandas: Bump to 3.0.0_rc1
Signed-off-by: Michał Górny <mgorny@gentoo.org>
Diffstat (limited to 'dev-python')
| -rw-r--r-- | dev-python/pandas/Manifest | 2 | ||||
| -rw-r--r-- | dev-python/pandas/pandas-3.0.0_rc1.ebuild | 200 |
2 files changed, 202 insertions, 0 deletions
diff --git a/dev-python/pandas/Manifest b/dev-python/pandas/Manifest index edfc4dcecff9..c932140819c3 100644 --- a/dev-python/pandas/Manifest +++ b/dev-python/pandas/Manifest @@ -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-2.3.2.tar.gz 4488684 BLAKE2B d63a81eb06806ed80847322741f0e3e34c8a51af4794b0a18816ae2e10fd27c25b015da95f4a6c2cfb9767b9388025a3b5522817f9013b50c589d5ecf7ae7f64 SHA512 4cbc4db60e36f07e483322eb734d229ef67af042a8f8be5f2285b3607f1a1f122ecdd95884ea12b1850b5d98423e2d0895fa5c738df6b40ff1950fe6d4371708 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 diff --git a/dev-python/pandas/pandas-3.0.0_rc1.ebuild b/dev-python/pandas/pandas-3.0.0_rc1.ebuild new file mode 100644 index 000000000000..895f6c4a0bfd --- /dev/null +++ b/dev-python/pandas/pandas-3.0.0_rc1.ebuild @@ -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 +} |
