gentoo auto-resync : 22:09:2022 - 23:28:46

2 files changed, 203 insertions, 0 deletions

diff --git a/dev-python/pandas/Manifest b/dev-python/pandas/Manifest
index a63847870838..38fea1beae11 100644
--- a/dev-python/pandas/Manifest
+++ b/dev-python/pandas/Manifest
@@ -1,5 +1,7 @@
 DIST pandas-1.4.3.tar.gz 4941520 BLAKE2B b134f7c04c2478b7105214ed62e9adcaed98ffb4179a785f7887850d66702bf0f185d60a3da6de6226742529008bac614b494453dca929e477960ff3b43ef93d SHA512 d8d7575ce2b813361641d4e438844e03ed79179f5dcc56f2e4923bfeceab6f825a9bcc419e9492ee5e0272ea7c9bb9eeab6a0e242a880a87999df2a492436d8e
 DIST pandas-1.4.4.tar.gz 4949620 BLAKE2B 7ce236ae28ed6c6857a3acf6936aad2b1dc53a048986809d8dedbb9595dd2234bacbe114b74d8a171a6b31254372ea262566b134e7b5b24d5d4666938c7e6154 SHA512 a12e92dd751ed2342d9291724833732cdadbc9791e59533b9efded570b9893bacbe2f10e6bc70d673adb9356dcb0ae3d64d8a1dfe6ae8a3c70e474556ded4d91
+DIST pandas-1.5.0.tar.gz 5191537 BLAKE2B c7dec1d0197e6ac860667177f0f255bb327dbd48fe4501280d578b93f4496e61c0847dc478effeb8c5729d7a9d3e8a643c01db095a9843d6d211a9420f94d42c SHA512 8d340da1e0dff9b64c8993359b35ddcfc796fa15fee1bf1a27ea5a12e33f8b20d45bfac0ff9275b16ff0d4f7855a73962629e06c62bc08ca5e21b4ef1ea29ec2
 EBUILD pandas-1.4.3.ebuild 6415 BLAKE2B 301b741131740c4590bc92aceb84dae270a1324523116eecb2e62c247ab81c1728998d75f15b6990a6f72fb1c50be7b23bd3a45fe1a32289d736f3f70f799280 SHA512 bf4a88fe60608cfa29b709681b708a0097c21effb4574f34ff56e3778e71e128c6ce0f40df2dc2af81b6062c3ec38ed548d3eacd0a841e03ccf95e65b9899c73
 EBUILD pandas-1.4.4.ebuild 6492 BLAKE2B 8268316dd4f762ba997bd7452eb7ad3e63776edbe5c1ddff284c502d12259ece290f13b28804d34782cbd6935b3eb367c275b7664ee1b3739563514a40902e8a SHA512 3511c09f4b557d28e6dc1e82128c8c3d9df8846e1ce4c3195cdd05270c3e223f5c2f3dcd9d7c351f8697ff6b4daa8a9e8301813284b369b4f1cf6ae29d723ac5
+EBUILD pandas-1.5.0.ebuild 6579 BLAKE2B 215cbfefa2456ab577cb13e687a034325afc4fdc184d3810dc8495e38588257c8f90f5a4de116f43072b808a1c6716b40759134ac6394cdb526fab5c041a45e4 SHA512 58a27b293a7da2ecf84631789357c22c32e108ee9d12b8385d3d0c4101d887f2d413db17e4013860589c0ccd4700a8d2232a659e16d5c278b8e71ae3ce2726dd
 MISC metadata.xml 918 BLAKE2B 09b6ef472cbceaade61bfec8780ba3659838cd73f0a19b277d731db75655ac7e65d396f9fa74c19a2d5e03269c541dfe2af59296c048e77744f00bdb55295d4d SHA512 0b1fd089b0ce35a4e3408cd7224a249d427571a638961a8d63dee73b386d03b5a22e4ff085e2e548749f9fc03e9beb18317010d0b67f608dafe305bb4a87ddb2
diff --git a/dev-python/pandas/pandas-1.5.0.ebuild b/dev-python/pandas/pandas-1.5.0.ebuild
new file mode 100644
index 000000000000..c4c60fd4f595
--- /dev/null
+++ b/dev-python/pandas/pandas-1.5.0.ebuild
@@ -0,0 +1,201 @@
+# Copyright 1999-2022 Gentoo Authors
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=8
+
+DISTUTILS_USE_PEP517=setuptools
+PYTHON_COMPAT=( python3_{8..10} )
+PYTHON_REQ_USE="threads(+)"
+
+VIRTUALX_REQUIRED="manual"
+
+inherit distutils-r1 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 ~hppa ~ia64 ~ppc ~ppc64 ~riscv ~s390 ~sparc ~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/beautifulsoup4[${PYTHON_USEDEP}]
+	dev-python/blosc[${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[${PYTHON_USEDEP}]
+	>=dev-python/xarray-0.12.3[${PYTHON_USEDEP}]
+	>=dev-python/sqlalchemy-1.3.0[${PYTHON_USEDEP}]
+	>=dev-python/xlrd-1.2.0[${PYTHON_USEDEP}]
+	>=dev-python/xlwt-1.3.0[${PYTHON_USEDEP}]
+	!hppa? (
+		dev-python/statsmodels[${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-1.21.0[${PYTHON_USEDEP}]
+	>=dev-python/python-dateutil-2.8.1-r3[${PYTHON_USEDEP}]
+	>=dev-python/pytz-2020.1[${PYTHON_USEDEP}]
+"
+DEPEND="
+	${COMMON_DEPEND}
+	>=dev-python/cython-0.29.32[${PYTHON_USEDEP}]
+	doc? (
+		${VIRTUALX_DEPEND}
+		app-text/pandoc
+		dev-python/beautifulsoup4[${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}
+		${OPTIONAL_DEPEND}
+		dev-python/beautifulsoup4[${PYTHON_USEDEP}]
+		>=dev-python/hypothesis-5.5.3[${PYTHON_USEDEP}]
+		dev-python/openpyxl[${PYTHON_USEDEP}]
+		dev-python/pymysql[${PYTHON_USEDEP}]
+		>=dev-python/pytest-6[${PYTHON_USEDEP}]
+		>=dev-python/pytest-xdist-1.31[${PYTHON_USEDEP}]
+		dev-python/psycopg:2[${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 ${EPYTHON} make.py html
+	fi
+}
+
+src_test() {
+	virtx distutils-r1_src_test
+}
+
+python_test() {
+	local EPYTEST_DESELECT=(
+		# test for rounding errors, fails if we have better precision
+		# e.g. on amd64 with FMA or on arm64
+		# https://github.com/pandas-dev/pandas/issues/38921
+		pandas/tests/window/test_rolling.py::test_rolling_var_numerical_issues
+
+		# TODO
+		pandas/tests/api/test_api.py::TestTesting::test_util_testing_deprecated
+		pandas/tests/api/test_api.py::TestTesting::test_util_testing_deprecated_direct
+		pandas/tests/io/test_clipboard.py::TestClipboard::test_raw_roundtrip
+
+		# TODO: xdist?
+		pandas/tests/test_expressions.py::TestExpressions::test_run_binary
+
+		# TODO: these require a running db server
+		pandas/tests/io/test_sql.py::TestMySQLAlchemy
+		pandas/tests/io/test_sql.py::TestMySQLAlchemyConn
+		pandas/tests/io/test_sql.py::TestPostgreSQLAlchemy
+		pandas/tests/io/test_sql.py::TestPostgreSQLAlchemyConn
+	)
+
+	local -x LC_ALL=C.UTF-8
+	cd "${BUILD_DIR}/install$(python_get_sitedir)" || die
+	"${EPYTHON}" -c "import pandas; pandas.show_versions()" || die
+	epytest pandas --skip-slow --skip-network -m "not single" \
+		-n "$(makeopts_jobs "${MAKEOPTS}" "$(get_nproc)")" ||
+		die "Tests failed with ${EPYTHON}"
+}
+
+python_install_all() {
+	if use doc; then
+		dodoc -r "${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/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/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
+}