gentoo resync : 20.10.2021

3 files changed, 196 insertions, 2 deletions

diff --git a/dev-python/pandas/Manifest b/dev-python/pandas/Manifest
index d7e21232dca3..40a530af0755 100644
--- a/dev-python/pandas/Manifest
+++ b/dev-python/pandas/Manifest
@@ -5,11 +5,13 @@ DIST pandas-1.3.0.tar.gz 4721119 BLAKE2B f09eedd848686597a755da929683e841be61cce
 DIST pandas-1.3.1.tar.gz 4724471 BLAKE2B 3c645927d25ba5cfd8f2822f07752149cc4a33c0b3b32d1f45986397b877b338a5287170281231058c37e2930152a6bd5f3f50fddf32805f05de49150abd6dd6 SHA512 ec57d123038cd4018dbfbe2da2d10211d507cdbaa849f4752c5770d017c55cf1d2c4b29f7c86e480695205e95622b28cd75319338644302732eb4ac9efef6993
 DIST pandas-1.3.2.tar.gz 4727155 BLAKE2B 0d667a70a4f45d47677af9d9f18ef5bcaad7d52fe780fa0646fbdcedaf426ef6a3ea768886b85a4051419d5965fe316c6162d770297e5dc679234ad99d22908b SHA512 5ba8b7c7f048e13f2493235b941ada34f9416777405fae4040688f88d004564aa6c8eddfb0dc5a78e97e8370a0293a75ba63704fea4e25bc5b003a619016a9c1
 DIST pandas-1.3.3.tar.gz 4730758 BLAKE2B 0ef945b2181329265b93fbdb7f9c35497ef847508cc2166b6e2a12ad1a2faa3940d5c8f375754ec34db4e236934a1f903f1e58e6882c6de0018a16b38f50f136 SHA512 a3a871a9954c7249311b9904e588d85fba4d6aa07463308b08b789b93a1eb63e36dac1b0d4254a5379085c05c5633ef31b615d0c60963c796dd7a33d815a5534
+DIST pandas-1.3.4.tar.gz 4734599 BLAKE2B a71b5b57198defcf4f6d848f445c7112668994f089b62a6bce1028ab4ba8a9bf3adc3c393699332fb0c76818ed80164843114e68e57232c495cee03ec5e88009 SHA512 c821365b1f06d69c61b957c4768a5f86b39d97d74b0732ea0eaade9d21bca8f652e38f91f83adf2fc6488f227c75d4e5e64e8f131456e7f0a93ecfcf237190a6
 EBUILD pandas-1.2.3-r1.ebuild 6192 BLAKE2B a47bf5ef30d6ac5979d6282d35da80d590f8f7cd283d3febe123f9b34fc45ffaf3beb793dc809b783a76c96ae48c8fe03278f0f97dd20a1b819e5f8179cf1494 SHA512 d74a3264169c86036d381d31722c0dace729cc2b89bc530847cff44f29d5f03d2829083ba4f6f7f16f27f0672782b3c347b7a4274a24ef20a150aaeef2975430
 EBUILD pandas-1.2.4.ebuild 6149 BLAKE2B a0e8c74bf270a1c8d2a074aae53cfe231a10c4fa796e3dca1068e4378a05a2e1486b316c8c0caff597b89cca5425aaed1d93eb8660d6c6d380a60a8482c9a95c SHA512 1b909958d1ca99071baf29a40ccdcb76405ef5e32fba47bb160cef363d42c6a7b98d00271d1f69bb7383943910f01dedd4e8d889e5f9357a0b4d25541ae913fa
 EBUILD pandas-1.2.5.ebuild 6175 BLAKE2B d384feaf94326c3e5c48f73ee55a97e81ab008a703c12a9e14f5bbb2f63c0fe25d064037c82b67b10ce525b6950484c70faf979a78e79374b0a038fb88ea86c7 SHA512 829e0a5039902beefdc5cecef2cc883d8e61968ec3e2f79b709a0d020c8cec1d04fe788b168ccbf39085e0a1a0aaa450799f5b477de587caaf220b6ecf1906c3
 EBUILD pandas-1.3.0.ebuild 6406 BLAKE2B f0952945c6cb5cc702e3a220993c05ea22429505aa3559170a417d60e16e917c87e609192968b56831b843bbd7ebbdd7120d74b4ef07319bbc39a81277a8a8d2 SHA512 87fd5f381e512647b038d6de4c5af9317b844c069c502fbef5fd28f815df1aaaf263d7524413984d209c7521860ff30008d50423de7766438c77c814274eac80
 EBUILD pandas-1.3.1.ebuild 6405 BLAKE2B 023e70409effee1c72c78b0759f8282e9a6e1aeed40abce41bedf87a0818c7aa5d4142b615fe4ded77f5e32b3cd92e7ce6b535846eede53777a50ed5d8e6b80d SHA512 243dd3339e8bc5b223ff17c2ff7f9ba3caacab10bd2b825d038d9bd57296f6b3928b8457614bd3aff4929d54112cf88c52c4b1ca5b00e944941a607d75054dac
 EBUILD pandas-1.3.2.ebuild 6423 BLAKE2B 8b167992a2e5426d7311085e5ba1c30fcc2337feceefa1bc2a143adf72cc6927638265343737cd8153f7c19c3b92cc8ff3142e3b6d3219ae02ea3b8439ba930b SHA512 a75790eec03fc3b823dfc176ada1e08eb4b50d92c91d5ff3032e122003542705a254eb60c6a61051104077f344a718df5f67fb64b8f1c59fbaa9a0469faa459d
-EBUILD pandas-1.3.3.ebuild 6411 BLAKE2B ca12bc44db2191b206012770dd88cbae5ae012fae95a58912c8cf66c3c1f0b4a38a077e07aedf379bec085be66f0c2c874bfa22153e775a243f7baa8d4b1c16c SHA512 fd0940269b2debd7b0f95f1fae4217b9576eaf61765ad8f5b798e27182ed7c52ba84e2d1a1b409fb182de3ff479c0b9cf1b71ed28ca5a14c2d5042e99c6dbc0f
+EBUILD pandas-1.3.3.ebuild 6410 BLAKE2B d0d2d30cacc7d65efc43c470c4dcc7a68d076b613f92d3134d410cec6cc5b2d514348f54078988dbb2eb419e252ac4426edcf59316739cd430232da0aebced44 SHA512 7bae5e2c7e0ca99e4e67607cd8b50bbd634ce62ac22758f4d28872228f51c36e7bd6ff30e84cf2c91d27accecef228b806f66a2b9734454b753f335b951fe06d
+EBUILD pandas-1.3.4.ebuild 6411 BLAKE2B ca12bc44db2191b206012770dd88cbae5ae012fae95a58912c8cf66c3c1f0b4a38a077e07aedf379bec085be66f0c2c874bfa22153e775a243f7baa8d4b1c16c SHA512 fd0940269b2debd7b0f95f1fae4217b9576eaf61765ad8f5b798e27182ed7c52ba84e2d1a1b409fb182de3ff479c0b9cf1b71ed28ca5a14c2d5042e99c6dbc0f
 MISC metadata.xml 918 BLAKE2B 09b6ef472cbceaade61bfec8780ba3659838cd73f0a19b277d731db75655ac7e65d396f9fa74c19a2d5e03269c541dfe2af59296c048e77744f00bdb55295d4d SHA512 0b1fd089b0ce35a4e3408cd7224a249d427571a638961a8d63dee73b386d03b5a22e4ff085e2e548749f9fc03e9beb18317010d0b67f608dafe305bb4a87ddb2
diff --git a/dev-python/pandas/pandas-1.3.3.ebuild b/dev-python/pandas/pandas-1.3.3.ebuild
index 4c3b594f00c9..c4d003cc6c01 100644
--- a/dev-python/pandas/pandas-1.3.3.ebuild
+++ b/dev-python/pandas/pandas-1.3.3.ebuild
@@ -18,7 +18,7 @@ S="${WORKDIR}/${P/_/}"
 
 SLOT="0"
 LICENSE="BSD"
-KEYWORDS="~amd64 ~arm ~arm64 ~ppc ~ppc64 ~riscv ~s390 ~x86"
+KEYWORDS="amd64 ~arm ~arm64 ~ppc ~ppc64 ~riscv ~s390 ~x86"
 IUSE="doc full-support minimal test X"
 RESTRICT="!test? ( test )"
 
diff --git a/dev-python/pandas/pandas-1.3.4.ebuild b/dev-python/pandas/pandas-1.3.4.ebuild
new file mode 100644
index 000000000000..4c3b594f00c9
--- /dev/null
+++ b/dev-python/pandas/pandas-1.3.4.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 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 ~ppc ~ppc64 ~riscv ~s390 ~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[${PYTHON_USEDEP}]
+	dev-python/statsmodels[${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? (
+		${VIRTUALX_DEPEND}
+		app-text/pandoc
+		dev-python/beautifulsoup4[${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[${PYTHON_USEDEP}]
+		dev-python/openpyxl[${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/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
+}