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dev-python/pandas: Bump to 3.0.0
Signed-off-by: Michał Górny <mgorny@gentoo.org>
This commit is contained in:
Michał Górny
@@ -3,6 +3,8 @@ DIST pandas-2.3.0.tar.gz 4484490 BLAKE2B 4fa8ad780e47bb9cfd6dfe3ea89d7c217d2d9bf
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DIST pandas-2.3.1.tar.gz 4487493 BLAKE2B d20f7f7b16e02d70f7cef228a20d0b1a1e7a8f4f2376f723b96ea38ca0df6e4bb9943b7ecf5d9f1f614e76f0b4bf84cf94c9a8768a8c5c045595bc052b7763bc SHA512 8d87295b7150708dfcd0d313933aa8ab056cd62eb404a540d3e96df16a5f78921fe1a56fbee15af2d159990465cc1bd939520fa640365b3ac892704dba991aea
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DIST pandas-2.3.2.tar.gz 4488684 BLAKE2B d63a81eb06806ed80847322741f0e3e34c8a51af4794b0a18816ae2e10fd27c25b015da95f4a6c2cfb9767b9388025a3b5522817f9013b50c589d5ecf7ae7f64 SHA512 4cbc4db60e36f07e483322eb734d229ef67af042a8f8be5f2285b3607f1a1f122ecdd95884ea12b1850b5d98423e2d0895fa5c738df6b40ff1950fe6d4371708
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DIST pandas-2.3.3.tar.gz 4495223 BLAKE2B c31604617900d439020dcdd66fcbca1cf3b720b6f4dd8ea51891946ad04774754cf7636a2ffb9fe746d15911a88153d36d4033b6a0207e9c7a1653a0f677570d SHA512 4179acb9fd9d1c5d543bb19b22483b4c2b17a36d5b10270a02ff4d8370b43c16a93673bf5509a5b1d1c960c0fde9238bbbf5b309c6745d2abf3d934535f3fd85
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DIST pandas-3.0.0.tar.gz 4633005 BLAKE2B 7084d2098e2f95c339c7638333161285e3bc969d0ba68df485c316445ab572ab99f2f4abfac5e22fa117c3af7a45cc412f95822996b75cabb489cc3e1d25673b SHA512 da05f1dc83caeacc95f5d5c84fec1949eea9bc4acd4763a8204a83174c5f45a6555410cac16241a530a584565963c6f6f7ffa7718c31e93d61dc7a47d8fa6c1f
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DIST pandas-3.0.0.tar.gz.provenance 9455 BLAKE2B 22caafd024bd01c8afc97b764ec19a71a4cdf4c2838d9853720ba801e280e5dbd587de2822805617b78bbf9d95c0b6eb81786a30e30aeb2224f9100855678e34 SHA512 b756eb102dc05afb1eed2ff22177dda0fdc0cc54db1ac45a3115748d7d7c09610d9332276bd448fcebb50a1e66242b2131b2e251b67bdedbad56e6b285728581
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DIST pandas-3.0.0rc1.tar.gz 4591349 BLAKE2B c724a6415d3769e23166e845a86554d4ec359b79c68a5714495def119dd3228a5b2c428757c7ea8e78e713623b222ef9ecec1908520f8cdc3080c595ecfcdf5a SHA512 e30ec13c82ad93f841c339d5c73d4574c37ee40adfea1d6bbe50c7281ad50715b772f90650a98c8f61c7445f2a055e715f2375d1e1ff694b90cffd14a3a0fd36
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DIST pandas-3.0.0rc1.tar.gz.provenance 9566 BLAKE2B c959e091ed7e67c746539a34da5f0991cc3a3e713834e9d017dc0790d827634063d0881e62767ff9abeb4450eba826e11967b0ccdc6c61933c3a4bc6929943f0 SHA512 b4720fd67511b5f3d5b1b5a5232a812d4d4785e8b7ec8cea69b19d46e31c6652ba174361571bf08a488a945f07c8c384d3e26ef3cccb7ddb7f8538e9e9460fd0
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DIST pandas-3.0.0rc2.tar.gz 4611940 BLAKE2B 274813d9616479e061290b63a2863711c413324e6aaf376129f5a63144829c51f4d7d6c49558f92501514dae0c2f4d0bd0f1b4f5572ddc1192871df29bc33f4a SHA512 7bd899bb1dc9bd2146e0d409912631ab962bebe4990d3e97a823adf669ac1c9fac4ccf4b2923aaafe461932302efe256aea77f28e0df8808651b415d27e22fa4
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200
dev-python/pandas/pandas-3.0.0.ebuild
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200
dev-python/pandas/pandas-3.0.0.ebuild
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# Copyright 1999-2026 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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PYPI_VERIFY_REPO=https://github.com/pandas-dev/pandas
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PYTHON_COMPAT=( python3_{11..14} )
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PYTHON_REQ_USE="threads(+)"
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VIRTUALX_REQUIRED="manual"
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inherit distutils-r1 optfeature pypi toolchain-funcs 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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LICENSE="BSD"
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SLOT="0"
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if [[ ${PV} != *_rc* ]]; then
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KEYWORDS="~amd64 ~arm64 ~riscv ~x86"
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fi
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IUSE="big-endian full-support minimal test X"
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RESTRICT="!test? ( test )"
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RECOMMENDED_DEPEND="
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>=dev-python/bottleneck-1.3.4[${PYTHON_USEDEP}]
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>=dev-python/numexpr-2.8.0[${PYTHON_USEDEP}]
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"
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# TODO: add pandas-gbq to the tree
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# TODO: Re-add dev-python/statsmodel[python3_11] dep once it supports python3_11
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# https://github.com/statsmodels/statsmodels/issues/8287
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OPTIONAL_DEPEND="
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>=dev-python/beautifulsoup4-4.14.2[${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/jinja2-3.1.2[${PYTHON_USEDEP}]
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>=dev-python/lxml-4.8.0[${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[${PYTHON_USEDEP}]
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>=dev-python/tabulate-0.8.10[${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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!arm? ( !hppa? ( !ppc? ( !x86? (
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>=dev-python/scipy-1.8.1[${PYTHON_USEDEP}]
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dev-python/statsmodels[${PYTHON_USEDEP}]
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) ) ) )
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!big-endian? (
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>=dev-python/tables-3.7.0[${PYTHON_USEDEP}]
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)
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X? (
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|| (
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>=dev-python/pyqt5-5.15.6[${PYTHON_USEDEP}]
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>=dev-python/qtpy-2.2.0[${PYTHON_USEDEP}]
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x11-misc/xclip
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x11-misc/xsel
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)
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)
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"
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DEPEND="
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>=dev-python/numpy-2.3.3:=[${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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"
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BDEPEND="
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${COMMON_DEPEND}
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>=dev-build/meson-1.2.1
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>=dev-python/cython-3.0.5[${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-libs/apache-arrow[brotli,parquet,snappy]
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>=dev-python/beautifulsoup4-4.14.2[${PYTHON_USEDEP}]
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>=dev-python/hypothesis-6.46.1[${PYTHON_USEDEP}]
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>=dev-python/openpyxl-3.0.10[${PYTHON_USEDEP}]
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>=dev-python/pyarrow-10.0.1[parquet,${PYTHON_USEDEP}]
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>=dev-python/pymysql-1.0.2[${PYTHON_USEDEP}]
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>=dev-python/xlsxwriter-3.0.3[${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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!minimal? ( ${RECOMMENDED_DEPEND} )
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full-support? ( ${OPTIONAL_DEPEND} )
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"
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EPYTEST_PLUGINS=()
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EPYTEST_XDIST=1
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distutils_enable_tests pytest
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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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# Note; deselects relative to pandas/
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local EPYTEST_DESELECT=(
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# missing data not covered by --no-strict-data-files?
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# https://github.com/pandas-dev/pandas/issues/63437
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tests/io/test_common.py::test_read_csv_chained_url_no_error
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# require -Werror
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# https://github.com/pandas-dev/pandas/pull/63436
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tests/config/test_config.py::TestConfig::test_case_insensitive
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# deprecation warning
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'tests/computation/test_eval.py::TestEval::test_scalar_unary[numexpr-pandas]'
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)
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if ! tc-has-64bit-time_t; then
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EPYTEST_DESELECT+=(
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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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)
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fi
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if ! has_version "dev-python/scipy[${PYTHON_USEDEP}]"; then
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EPYTEST_DESELECT+=(
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tests/plotting/test_misc.py::test_savefig
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)
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fi
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case ${EPYTHON} in
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python3.14)
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EPYTEST_DESELECT+=(
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'tests/computation/test_eval.py::TestEval::test_simple_cmp_ops[float-float-numexpr-pandas-in]'
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'tests/computation/test_eval.py::TestEval::test_simple_cmp_ops[float-float-numexpr-pandas-not in]'
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'tests/computation/test_eval.py::TestEval::test_simple_cmp_ops[float-float-python-pandas-in]'
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'tests/computation/test_eval.py::TestEval::test_simple_cmp_ops[float-float-python-pandas-not in]'
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'tests/computation/test_eval.py::TestEval::test_compound_invert_op[float-float-numexpr-pandas-in]'
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'tests/computation/test_eval.py::TestEval::test_compound_invert_op[float-float-numexpr-pandas-not in]'
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'tests/computation/test_eval.py::TestEval::test_compound_invert_op[float-float-python-pandas-in]'
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'tests/computation/test_eval.py::TestEval::test_compound_invert_op[float-float-python-pandas-not in]'
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'tests/computation/test_eval.py::TestOperations::test_simple_arith_ops[numexpr-pandas]'
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'tests/computation/test_eval.py::TestOperations::test_simple_arith_ops[python-pandas]'
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)
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;;
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esac
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local -x LC_ALL=C.UTF-8
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cd "${BUILD_DIR}/install$(python_get_sitedir)" || die
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"${EPYTHON}" -c "import pandas; pandas.show_versions()" || die
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# nonfatal from virtx
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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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nonfatal epytest pandas/tests \
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--no-strict-data-files -o xfail_strict=false \
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-m "not single_cpu and not slow and not network and not db" ||
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die "Tests failed with ${EPYTHON}"
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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/jinja2
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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/rpy2
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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 x11-misc/xclip x11-misc/xsel
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}
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