From b4d43e8c611df4a8061b6f88d9e9f6b1e3c83903 Mon Sep 17 00:00:00 2001 From: V3n3RiX Date: Thu, 24 Jun 2021 14:47:38 +0100 Subject: gentoo resync : 24.06.2021 --- dev-python/pandas/Manifest | 2 + dev-python/pandas/pandas-1.2.5.ebuild | 186 ++++++++++++++++++++++++++++++++++ 2 files changed, 188 insertions(+) create mode 100644 dev-python/pandas/pandas-1.2.5.ebuild (limited to 'dev-python/pandas') diff --git a/dev-python/pandas/Manifest b/dev-python/pandas/Manifest index 5813a9d9cb97..f7e985df7eed 100644 --- a/dev-python/pandas/Manifest +++ b/dev-python/pandas/Manifest @@ -1,5 +1,7 @@ DIST pandas-1.2.3.tar.gz 5466356 BLAKE2B f392321915128769814b3a8b7673cd7b00c9c292f4cb8d8b2e8537f7cc513f92cb6b8ff74dffe3b167987e8fa387738264dbebfdf4019f9cd7afd4f78234212a SHA512 3108424253aa143a85ef166091829bbd8c9b6446b516f37252742146d184f722e1fb8af5b4d04937362a298068019a91392e40c818126df6a7459bab7f3077cb DIST pandas-1.2.4.tar.gz 5469105 BLAKE2B 7f39e3ca67f5997c0668b0c2e9792869963adcd0347a3983188a992794ad58ccba82105b4dc3315cc17d79104f7fea7a273c218967eb51b1ea1514e87aeebb66 SHA512 79e7a38b8edad52b70eb81ba821141b928c782009d59c50076e7d1e7c015078d333c0c80bda7ba720f4ccb221a0ba93a02885fe6a573567ee37ffae14ee9b2c3 +DIST pandas-1.2.5.tar.gz 5470907 BLAKE2B 2c5e0cb0849aa23ee8640528a3e29a579cc051543731e44c9be41fb989c85f1b2b18bc028e97c9b200f9894e4c3ac8af6a2100586e41f6d8a165a4c4679fd649 SHA512 c8bc2ca7ff8ca1a4877ccda67aaf49c103525d0f511636f93e1db3720d9a1717aacde0a5e3f107f8f620b59f0269d9e5c9515fbef46da4e87fca678d7acda990 EBUILD pandas-1.2.3-r1.ebuild 6196 BLAKE2B 3770a8646d55a10945a4845e61c125a1b211415ad73579378cf93835826112620790acf0a146b552c16a35a6f5294440f4ff1c7fa90bb91c131132c75dfea5d2 SHA512 00d90cda83aed40cd09245183fe8bc76b222f8817f0f4c2381ac115e9e68e1147afc6df748bebd8d5ca97574d1445f678c854b976e80aeff5d70d37279c1efff EBUILD pandas-1.2.4.ebuild 6153 BLAKE2B 3fb940dffdc0c19cddd05f31d7f065a5c5c873fde0e888b7a6a356b759dbfa2ae4729697c9240ac71b39957b9367bbeb70731ebaeddb46c778dba8e7eacbcb17 SHA512 44f78998f669a2df55b2b31c762c2e28c4e6064b3dd63f465e16a09a4843487e684142244348ee3f17a973ca98eb6645a73450444aa9a1fb984ef174f6a7e0c6 +EBUILD pandas-1.2.5.ebuild 6179 BLAKE2B 1830c307da0c8a1566ab2a47d7c93f2b591e4ad0f31274f133dbc374f12c6a206b7d8d94974c2063a44018f8197c78790f108988e353b84366e7e5b661a59e65 SHA512 00a11c97733b1ff262efd76f599ffcac0b46119508f5a444e386ba3c4d9f0cb36bb9d55afc397a6a3fabe7fb3a52ebedfed153e8f0ee59cd0355704c6e3afc33 MISC metadata.xml 917 BLAKE2B 52ce164457db6dcf39fe8cd3482021ca88bb1d8d35f09adbc189e23f31b098229d2d5381ce2df7e68f996f50dd5b41b8ccb851fe877d5a7c468c8e42d1cc457b SHA512 fdfd49c8327288be612fa5f5a7a230a278d0634b090ac8da1dcc63c732db84dbcd7cb37dee74a9996127c4062bc73a5be1a9f911715166ed6af16758a578e333 diff --git a/dev-python/pandas/pandas-1.2.5.ebuild b/dev-python/pandas/pandas-1.2.5.ebuild new file mode 100644 index 000000000000..a55755019ca6 --- /dev/null +++ b/dev-python/pandas/pandas-1.2.5.ebuild @@ -0,0 +1,186 @@ +# Copyright 1999-2021 Gentoo Authors +# Distributed under the terms of the GNU General Public License v2 + +EAPI=7 + +PYTHON_COMPAT=( python3_{8..9} ) +PYTHON_REQ_USE="threads(+)" + +VIRTUALX_REQUIRED="manual" + +inherit distutils-r1 flag-o-matic multiprocessing optfeature virtualx + +DESCRIPTION="Powerful data structures for data analysis and statistics" +HOMEPAGE="https://pandas.pydata.org/" +SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P/_/}.tar.gz" +S="${WORKDIR}/${P/_/}" + +SLOT="0" +LICENSE="BSD" +KEYWORDS="~amd64 ~arm ~arm64 ~x86" +IUSE="doc full-support minimal test X" +RESTRICT="!test? ( test )" + +RECOMMENDED_DEPEND=" + >=dev-python/bottleneck-1.2.1[${PYTHON_USEDEP}] + >=dev-python/numexpr-2.1[${PYTHON_USEDEP}] +" + +# TODO: add pandas-gbq to the tree +OPTIONAL_DEPEND=" + dev-python/beautifulsoup:4[${PYTHON_USEDEP}] + dev-python/blosc[${PYTHON_USEDEP}] + || ( + dev-python/html5lib[${PYTHON_USEDEP}] + dev-python/lxml[${PYTHON_USEDEP}] + ) + dev-python/jinja[${PYTHON_USEDEP}] + dev-python/matplotlib[${PYTHON_USEDEP}] + || ( + dev-python/openpyxl[${PYTHON_USEDEP}] + dev-python/xlsxwriter[${PYTHON_USEDEP}] + ) + >=dev-python/pytables-3.2.1[${PYTHON_USEDEP}] + dev-python/statsmodels[${PYTHON_USEDEP}] + >=dev-python/xarray-0.10.8[${PYTHON_USEDEP}] + >=dev-python/sqlalchemy-0.8.1[${PYTHON_USEDEP}] + >=dev-python/xlrd-1.0.0[${PYTHON_USEDEP}] + dev-python/xlwt[${PYTHON_USEDEP}] + >=dev-python/scipy-1.1[${PYTHON_USEDEP}] + X? ( + || ( + dev-python/PyQt5[${PYTHON_USEDEP}] + x11-misc/xclip + x11-misc/xsel + ) + ) +" +COMMON_DEPEND=" + >dev-python/numpy-1.15.4[${PYTHON_USEDEP}] + dev-python/python-dateutil[${PYTHON_USEDEP}] + dev-python/pytz[${PYTHON_USEDEP}] +" +DEPEND="${COMMON_DEPEND} + >=dev-python/cython-0.29.21[${PYTHON_USEDEP}] + doc? ( + ${VIRTUALX_DEPEND} + app-text/pandoc + dev-python/beautifulsoup:4[${PYTHON_USEDEP}] + dev-python/html5lib[${PYTHON_USEDEP}] + dev-python/ipython[${PYTHON_USEDEP}] + dev-python/lxml[${PYTHON_USEDEP}] + dev-python/matplotlib[${PYTHON_USEDEP}] + dev-python/nbsphinx[${PYTHON_USEDEP}] + >=dev-python/numpydoc-0.9.1[${PYTHON_USEDEP}] + >=dev-python/openpyxl-1.6.1[${PYTHON_USEDEP}] + >=dev-python/pytables-3.0.0[${PYTHON_USEDEP}] + dev-python/pytz[${PYTHON_USEDEP}] + dev-python/rpy[${PYTHON_USEDEP}] + dev-python/sphinx[${PYTHON_USEDEP}] + dev-python/xlrd[${PYTHON_USEDEP}] + dev-python/xlwt[${PYTHON_USEDEP}] + dev-python/scipy[${PYTHON_USEDEP}] + x11-misc/xclip + ) + test? ( + ${VIRTUALX_DEPEND} + ${RECOMMENDED_DEPEND} + ${OPTIONAL_DEPEND} + dev-python/beautifulsoup:4[${PYTHON_USEDEP}] + dev-python/hypothesis[${PYTHON_USEDEP}] + dev-python/nose[${PYTHON_USEDEP}] + dev-python/openpyxl[${PYTHON_USEDEP}] + dev-python/pymysql[${PYTHON_USEDEP}] + >=dev-python/pytest-5.1[${PYTHON_USEDEP}] + dev-python/pytest-mock[${PYTHON_USEDEP}] + dev-python/pytest-xdist[${PYTHON_USEDEP}] + dev-python/psycopg:2[${PYTHON_USEDEP}] + dev-python/xlsxwriter[${PYTHON_USEDEP}] + x11-misc/xclip + x11-misc/xsel + ) +" +# dev-python/statsmodels invokes a circular dep +# hence rm from doc? ( ), again +RDEPEND="${COMMON_DEPEND} + !minimal? ( ${RECOMMENDED_DEPEND} ) + full-support? ( ${OPTIONAL_DEPEND} ) +" + +python_prepare_all() { + # Prevent un-needed download during build + sed -e "/^ 'sphinx.ext.intersphinx',/d" \ + -i doc/source/conf.py || die + + # requires package installed + sed -e '/extra_compile_args =/s:"-Werror"::' \ + -i setup.py || die + + distutils-r1_python_prepare_all +} + +python_compile() { + distutils-r1_python_compile -j1 +} + +python_compile_all() { + # To build docs the need be located in $BUILD_DIR, + # else PYTHONPATH points to unusable modules. + if use doc; then + cd "${BUILD_DIR}"/lib || die + cp -ar "${S}"/doc . && cd doc || die + LANG=C PYTHONPATH=. virtx ${EPYTHON} make.py html + fi +} + +python_test() { + local deselect=( + # test for rounding errors, fails if we have better precision + # e.g. on amd64 with FMA or on arm64 + # https://github.com/pandas-dev/pandas/issues/38921 + pandas/tests/window/test_rolling.py::test_rolling_var_numerical_issues + + # weird issue, doesn't seem very important + 'pandas/tests/base/test_misc.py::test_memory_usage[series-with-empty-index]' + + # old psycopg2 API + pandas/tests/tools/test_to_datetime.py::TestToDatetime::test_to_datetime_tz_psycopg2 + ) + + local -x LC_ALL=C.UTF-8 + pushd "${BUILD_DIR}"/lib > /dev/null || die + "${EPYTHON}" -c "import pandas; pandas.show_versions()" || die + PYTHONPATH=. virtx epytest pandas --skip-slow --skip-network \ + ${deselect[@]/#/--deselect } -m "not single" \ + -n "$(makeopts_jobs "${MAKEOPTS}" "$(get_nproc)")" + find . '(' -name .pytest_cache -o -name .hypothesis ')' \ + -exec rm -r {} + || die + popd > /dev/null || die +} + +python_install_all() { + if use doc; then + dodoc -r "${BUILD_DIR}"/lib/doc/build/html + einfo "An initial build of docs is absent of references to statsmodels" + einfo "due to circular dependency. To have them included, emerge" + einfo "statsmodels next and re-emerge pandas with USE doc" + fi + + distutils-r1_python_install_all +} + +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/beautifulsoup:4 dev-python/html5lib dev-python/lxml + optfeature "for msgpack compression using blosc" dev-python/blosc + optfeature "Template engine for conditional HTML formatting" dev-python/jinja + optfeature "Plotting support" dev-python/matplotlib + optfeature "Needed for Excel I/O" ">=dev-python/openpyxl-1.6.1" dev-python/xlsxwriter dev-python/xlrd dev-python/xlwt + optfeature "necessary for HDF5-based storage" ">=dev-python/pytables-3.2.1" + optfeature "R I/O support" dev-python/rpy + optfeature "Needed for parts of pandas.stats" dev-python/statsmodels + optfeature "SQL database support" ">=dev-python/sqlalchemy-0.8.1" + optfeature "miscellaneous statistical functions" dev-python/scipy + optfeature "necessary to use pandas.io.clipboard.read_clipboard support" dev-python/PyQt5 dev-python/pygtk x11-misc/xclip x11-misc/xsel +} -- cgit v1.2.3