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authorV3n3RiX <venerix@redcorelinux.org>2021-08-17 11:36:49 +0100
committerV3n3RiX <venerix@redcorelinux.org>2021-08-17 11:36:49 +0100
commite2db47eaae00ec33f8971db44b68645c5d3b9590 (patch)
tree3ec0cf16ddb5854017e134fabebe14bf8cb94a34 /dev-python/pandas
parent616579b5d773c50af31ee56f00105d96ce641ca2 (diff)
gentoo resync : 17.08.2021
Diffstat (limited to 'dev-python/pandas')
-rw-r--r--dev-python/pandas/Manifest2
-rw-r--r--dev-python/pandas/pandas-1.3.2.ebuild192
2 files changed, 194 insertions, 0 deletions
diff --git a/dev-python/pandas/Manifest b/dev-python/pandas/Manifest
index 6f3b537f51a2..854921180c34 100644
--- a/dev-python/pandas/Manifest
+++ b/dev-python/pandas/Manifest
@@ -3,9 +3,11 @@ DIST pandas-1.2.4.tar.gz 5469105 BLAKE2B 7f39e3ca67f5997c0668b0c2e9792869963adcd
DIST pandas-1.2.5.tar.gz 5470907 BLAKE2B 2c5e0cb0849aa23ee8640528a3e29a579cc051543731e44c9be41fb989c85f1b2b18bc028e97c9b200f9894e4c3ac8af6a2100586e41f6d8a165a4c4679fd649 SHA512 c8bc2ca7ff8ca1a4877ccda67aaf49c103525d0f511636f93e1db3720d9a1717aacde0a5e3f107f8f620b59f0269d9e5c9515fbef46da4e87fca678d7acda990
DIST pandas-1.3.0.tar.gz 4721119 BLAKE2B f09eedd848686597a755da929683e841be61cce4385fa1e4616a328e267dcd4fb44bc9ad5da56402a52da6fb3b12f84795da10cd20df7fd0b349e749dd814bc3 SHA512 67145114091901d8e2a376392d8890372675a1b5831de310715a6e6f7f4509dd8cf1a4b30cab3314f849b6c709270a246524b958b686f9e7fbe2489ce5b650a0
DIST pandas-1.3.1.tar.gz 4724471 BLAKE2B 3c645927d25ba5cfd8f2822f07752149cc4a33c0b3b32d1f45986397b877b338a5287170281231058c37e2930152a6bd5f3f50fddf32805f05de49150abd6dd6 SHA512 ec57d123038cd4018dbfbe2da2d10211d507cdbaa849f4752c5770d017c55cf1d2c4b29f7c86e480695205e95622b28cd75319338644302732eb4ac9efef6993
+DIST pandas-1.3.2.tar.gz 4727155 BLAKE2B 0d667a70a4f45d47677af9d9f18ef5bcaad7d52fe780fa0646fbdcedaf426ef6a3ea768886b85a4051419d5965fe316c6162d770297e5dc679234ad99d22908b SHA512 5ba8b7c7f048e13f2493235b941ada34f9416777405fae4040688f88d004564aa6c8eddfb0dc5a78e97e8370a0293a75ba63704fea4e25bc5b003a619016a9c1
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
EBUILD pandas-1.3.0.ebuild 6410 BLAKE2B fa9b743b1cddd91d835cb6941e16118a8ca9b118119a0806ccc8d723df417d75a0fbe218b44d62c10983f25a7d1424a8e06798475ee879acb1aca71e018026d6 SHA512 cf2e4eff5dbde9ecf45578660b4fbead2299b419a104b01759c19cae21b6be89e7776ed514445527f338ca88186596c45907c73150e31ab10fe7f619a1f68dee
EBUILD pandas-1.3.1.ebuild 6410 BLAKE2B fa9b743b1cddd91d835cb6941e16118a8ca9b118119a0806ccc8d723df417d75a0fbe218b44d62c10983f25a7d1424a8e06798475ee879acb1aca71e018026d6 SHA512 cf2e4eff5dbde9ecf45578660b4fbead2299b419a104b01759c19cae21b6be89e7776ed514445527f338ca88186596c45907c73150e31ab10fe7f619a1f68dee
+EBUILD pandas-1.3.2.ebuild 6410 BLAKE2B a9e19ed818de0f1d96276b22d584e8cc03cbdb90a3e02374c3ee74e89157f433933d395c1221a3ce7a4a8032f4f17b461893b9fda1a9c36ff922e74197a61e72 SHA512 59533c880e1e674dc774a98cac684d492a2bb080c5311345407f47174de7ec5e47b10912d723a514d04b9408c6b475e577d29b0c5a799ba4b76b328aba0b75bc
MISC metadata.xml 917 BLAKE2B 52ce164457db6dcf39fe8cd3482021ca88bb1d8d35f09adbc189e23f31b098229d2d5381ce2df7e68f996f50dd5b41b8ccb851fe877d5a7c468c8e42d1cc457b SHA512 fdfd49c8327288be612fa5f5a7a230a278d0634b090ac8da1dcc63c732db84dbcd7cb37dee74a9996127c4062bc73a5be1a9f911715166ed6af16758a578e333
diff --git a/dev-python/pandas/pandas-1.3.2.ebuild b/dev-python/pandas/pandas-1.3.2.ebuild
new file mode 100644
index 000000000000..5b4e933354ca
--- /dev/null
+++ b/dev-python/pandas/pandas-1.3.2.ebuild
@@ -0,0 +1,192 @@
+# Copyright 1999-2021 Gentoo Authors
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=8
+
+PYTHON_COMPAT=( python3_{8..10} )
+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/ https://github.com/pandas-dev/pandas/"
+SRC_URI="
+ https://github.com/pandas-dev/pandas/releases/download/v${PV}/${P}.tar.gz"
+S="${WORKDIR}/${P/_/}"
+
+SLOT="0"
+LICENSE="BSD"
+KEYWORDS="~amd64 ~arm ~arm64 ~riscv ~x86"
+IUSE="doc full-support minimal test X"
+RESTRICT="!test? ( test )"
+
+RECOMMENDED_DEPEND="
+ >=dev-python/bottleneck-1.2.1[${PYTHON_USEDEP}]
+ >=dev-python/numexpr-2.7.0[${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-0.12.3[${PYTHON_USEDEP}]
+ >=dev-python/sqlalchemy-1.3.0[${PYTHON_USEDEP}]
+ >=dev-python/xlrd-1.2.0[${PYTHON_USEDEP}]
+ >=dev-python/xlwt-1.3.0[${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-1.17.3[${PYTHON_USEDEP}]
+ >=dev-python/python-dateutil-2.8.1-r3[${PYTHON_USEDEP}]
+ >=dev-python/pytz-2017.3[${PYTHON_USEDEP}]
+"
+DEPEND="${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[${PYTHON_USEDEP}]
+ dev-python/openpyxl[${PYTHON_USEDEP}]
+ dev-python/pymysql[${PYTHON_USEDEP}]
+ >=dev-python/pytest-6[${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 ${EPYTHON} make.py html
+ fi
+}
+
+python_test() {
+ local deselect=(
+ # test for rounding errors, fails if we have better precision
+ # e.g. on amd64 with FMA or on arm64
+ # https://github.com/pandas-dev/pandas/issues/38921
+ pandas/tests/window/test_rolling.py::test_rolling_var_numerical_issues
+
+ # weird issue, doesn't seem very important
+ 'pandas/tests/base/test_misc.py::test_memory_usage[series-with-empty-index]'
+
+ # old psycopg2 API
+ pandas/tests/tools/test_to_datetime.py::TestToDatetime::test_to_datetime_tz_psycopg2
+
+ # Internet
+ pandas/tests/io/xml/test_xml.py::test_wrong_url
+
+ # TODO: some data path problems?
+ pandas/tests/io/test_fsspec.py::test_read_csv
+ pandas/tests/io/test_fsspec.py::test_markdown_options
+ )
+
+ local -x LC_ALL=C.UTF-8
+ pushd "${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-3.0.0" 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-1.3.0"
+ 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
+}