gentoo auto-resync : 21:09:2023 - 17:14:53

3 files changed, 217 insertions, 0 deletions

diff --git a/dev-python/pandas/Manifest b/dev-python/pandas/Manifest
index 7b54195c5f0e..b3070c52644f 100644
--- a/dev-python/pandas/Manifest
+++ b/dev-python/pandas/Manifest
@@ -1,4 +1,5 @@
 AUX pandas-2.1.0-build-system.patch 1917 BLAKE2B 22a9e64f6b657394a6f66bbd0fe62c77f7b25bcb1dd2faf528f54cb202a123adfe3da1ed706363d6b6bac5d1852e01b366cf5e551827254038b2700b86877923 SHA512 3c7a9ab7ac8f324674e171c91c21006031882907f47ed5cf9b5a1e02fbc025ed579bdf0622fb392809fa4b9478f6c5492efa38eae166056d9595d2e4ea5821c3
+AUX pandas-2.1.1-which.patch 393 BLAKE2B d5a988d64efbe28a1d2e533eae2d2ac88a31a08697a112682af1fce07429fff7e7846fe378d6ab487cf8aebf30b357c022763f5fc578e6b90c7ced1ea1af97f1 SHA512 3e7895561aab74e3b3afbad46f371f97fa4ae7b7f8158961896114a9c62e9a4544e81f9cdce983029809a95cc23350bb9698d8b4acc92f34e3a5b844b7811edb
 DIST pandas-1.5.1.tar.gz 5199286 BLAKE2B 17d98870f3397d7a9289a18708021a614b1d456e2ea99dae8927727aabb8aab73bd31f25c3035947f8f4c38404e7d971bf999500b300307b19a2cf6029763d0e SHA512 e5f25f21f17f36c6488f14fbfa391beb9f1989652de01cb8346d2826dead9331fea27295ee1e6f42d0875f2f1a91fcd23d606edd339432589bca5ba8d89e5ecd
 DIST pandas-1.5.2.tar.gz 5201551 BLAKE2B c6a8156a6c116f1b576837882e4ad4ada6cf21bf72acd673d74bdb1dda4f97f88a5e6422e8f8ad2fbbb85a334cd68cb0abae316d5826c54a85baf8b325ab6183 SHA512 1e6b653ff418c839895946123f90fffcfafd57f24dfbd6bae4e9988893b7d57d6276ed101112c8f9730af53f600d006fe3a53bbed597c0376856f2cfc90c1f05
 DIST pandas-1.5.3.tar.gz 5203060 BLAKE2B 846a6caa8ead6a2556303494f92e2091582d8fcde2aee424fa172c4e29c189a7305261f6a931a20249e969668646ff4a3d605ee1b57785fa3677dfbd137b3602 SHA512 3c725c33dcaf78b952d2eb966ced73ff0073162a01d3cbcb722d58d8f12a82163e6e684c27284c735bdfb32dea263b960f70f6a80ff93e6b316316d40835ae35
@@ -7,6 +8,7 @@ DIST pandas-2.0.1.tar.gz 5279594 BLAKE2B 84dbab2c6079c77eb7f367aaabc2f4d0c8205a3
 DIST pandas-2.0.2.tar.gz 5290568 BLAKE2B 26eb9db6c1c2b4f9ae31b3aae09fc4db930d13e59b2037261eb2e3006a04402bc0a502febe29c0a3e071953bfbf4efac56eddf14bca2e22be0128e82d649a958 SHA512 feda98a2f83865d0ecb3fc2c37c927ddcd075f621954758eee26f1e9a0d9d1367ce790972f4ee3fb5928731ac157533345635fed390fdc306541047ab47fda60
 DIST pandas-2.0.3.tar.gz 5284455 BLAKE2B 42db94dd031ca10c87434f4f903509abf0e6c2c3e3561ae5f5db6db09ebf95996aaa34e1f98a3e33f2b687c69dd1b38dc136d5928da2c096756b6755bf9b31c0 SHA512 bee3640521692545cb063b78c85f5ab90817c8029156f97856af4c9edfcc3e13596b48c4c1b4060c92e7e75b3b876d0734f7c1e3b2096d44c52ec09372c99d2e
 DIST pandas-2.1.0.tar.gz 4263970 BLAKE2B cae30e74fa227252a4d05a032662f5229d676917720b7cca5a85d91a680f11bca7b0fb8ac79bdf1cd7f580aab99db1bd13571b86510516d10a74b1197abebbd1 SHA512 85a64ef7abffdb3a78547942dabfe621d7c8e2cf0da5285e64a9018865fadb037e030d5077a1790acecc1616200f50a777c6ab775b888a72d7fc36cd8855a704
+DIST pandas-2.1.1.tar.gz 4266250 BLAKE2B 9d8256300db65b606e34b16d7f3884b602794fe3c14d66115056db4a4658603fbe7a7a3082dfc781760517d643d6e21a6d4d43441131ec6aed5965b6fa8a0e9c SHA512 346e13e06805948c569712028c9b8d756c67ca2fab040999a51a4e759206d50d8ee25be38ac3c7cb3d2e692a02d85c1ec198841311fe43cb04b64f2741627a4e
 EBUILD pandas-1.5.1.ebuild 6909 BLAKE2B 8a3ee48ae2b0b10233d414f143091f77b51fe3d968bf679d8b362b710937993c28297959239b9531a92919b5d9dd83a1ffe7d2df5db19e799cba2c0723e0a774 SHA512 9efcdc4e5f7f8f29507731ca626fa6f64397cb0cbfbbdccd0781e6b832eba64c03ae696544cd244fb9880c623f020890b126412e030c48476c3cc0ee5a9d3e77
 EBUILD pandas-1.5.2.ebuild 6910 BLAKE2B a7ef8833787337a956d8989fa4b0aae4ef563146c1a68b2a119fcb8dc35594bd2f1bbcd1602837b5fc4fab51df288a5b3ce34ca00e5786939de34755189e3bc8 SHA512 e306aa3aab429e6c103cd7f4996d65453afd7bc22c9cf5199f1bd1dd8db3b8b8f6c705d7c28aa0608788c6e445dd1873691f9dbe3a832f965f38eeaade331c28
 EBUILD pandas-1.5.3.ebuild 7217 BLAKE2B c896ebe7eb6dcdba2270ddc9f409062cc3b7ca8023efcc882a7425bf9bcb9eb4f8c5279f4a4eba66095af3563196594ad8d63ffe8072298f02dd131245a125db SHA512 0c3529e608cc9c962593877a3547b7e7bdac7ae1c013d87597788cc4b4129a18a233b0ea892fbc2c94b67669326590d1c8210f8c94d183a372db2b538725518e
@@ -15,4 +17,5 @@ EBUILD pandas-2.0.1.ebuild 7588 BLAKE2B 3a3a1521afac590f111aa3147ed2a0c36a76bc69
 EBUILD pandas-2.0.2.ebuild 7666 BLAKE2B 1b9b8727606719ef15b98e011edd92ebb105367172a9fca7d93e506f181caa6b3c2eb3a85a97b27ec5195c020e76e9dd81936bf433828931a30ccb1adafe47a2 SHA512 0e5e028ce7ad9106dcbc5d2af08e247d86e81e8c6ce85a8ff4fd663a32c839ea2420ff41394ff872935d34c143008a7a957d747a64ae698ab3ff707f2231fcfe
 EBUILD pandas-2.0.3-r1.ebuild 10177 BLAKE2B 4ff6ce892695c57cb017503238ce0f0abe33a72f2071146fd5a1ec03ca6d298ce6bd80adbfa5e1511562cd461dd7259bc7709f20e7c8c194efffab12792e7e44 SHA512 dbe141e8b5e5cf2a068c2738a95e1a2df98d6f376542e960e674c03bc418ac077e3e9c6d1c9dd09d8b3a32c6afbd9b19fad25e9c0cbf3892e5e16e8660f71df2
 EBUILD pandas-2.1.0.ebuild 8597 BLAKE2B 56107f36b035dd7ac32e581365a879a5af5cd81e561f3fd8054966854da395302c5b2fa763b1a2bed894f1b815f513ec1944f1a1d85d34bf9df652ba1db212fd SHA512 b3ec18855539cd63dc5015d03d98241d53328bc1505f14564f36935a7fd191eee4e7c0bc186a78194f99ecfde015ee426d89d526baa38605ec02f7342ec927fa
+EBUILD pandas-2.1.1.ebuild 8625 BLAKE2B f6ec3e151ccd8c263ea2be97e650226690ead5f8bf19fd3d0dee6d3f43cfe6cb4339efb1caffc0f508883a44c9703e8c6bf3c092bada466adcae657562409a27 SHA512 8ed3c967a4235c002e42de8c75afb453d2b33f3965790dbf3d05a100df3a2f80f45b112e1fc737e9502db57be4a34f6cbb6a3de99d345876807aa010db296da4
 MISC metadata.xml 920 BLAKE2B d6bd854acdd851d578038657d91adaedf4f220dbdc5905ebba5e35e74437c6d5bc2384061f7796a6f359aa128c526485635debfd0e1a9646d09daed740167c87 SHA512 dcd949e89cae9df918acb3cf8be5ad8c396ee5e646d2179aa2b646fafa15ffc11e9ccf853df8d7fdcc787f88ce7063639d8d87715aaba943774edc8ad98b540a
diff --git a/dev-python/pandas/files/pandas-2.1.1-which.patch b/dev-python/pandas/files/pandas-2.1.1-which.patch
new file mode 100644
index 000000000000..424c10af82ae
--- /dev/null
+++ b/dev-python/pandas/files/pandas-2.1.1-which.patch
@@ -0,0 +1,12 @@
+diff --git a/pandas/io/clipboard/__init__.py b/pandas/io/clipboard/__init__.py
+index c07f51d875..14d79fb367 100644
+--- a/pandas/io/clipboard/__init__.py
++++ b/pandas/io/clipboard/__init__.py
+@@ -87,6 +87,7 @@ else:
+ 
+ 
+ def _executable_exists(name):
++    return which(name)
+     return (
+         subprocess.call(
+             [WHICH_CMD, name], stdout=subprocess.PIPE, stderr=subprocess.PIPE
diff --git a/dev-python/pandas/pandas-2.1.1.ebuild b/dev-python/pandas/pandas-2.1.1.ebuild
new file mode 100644
index 000000000000..175a31dc5052
--- /dev/null
+++ b/dev-python/pandas/pandas-2.1.1.ebuild
@@ -0,0 +1,202 @@
+# Copyright 1999-2023 Gentoo Authors
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=8
+
+DISTUTILS_EXT=1
+DISTUTILS_USE_PEP517=meson-python
+PYTHON_COMPAT=( python3_{10..11} )
+PYTHON_REQ_USE="threads(+)"
+
+VIRTUALX_REQUIRED="manual"
+
+inherit distutils-r1 multiprocessing optfeature pypi virtualx
+
+DESCRIPTION="Powerful data structures for data analysis and statistics"
+HOMEPAGE="
+	https://pandas.pydata.org/
+	https://github.com/pandas-dev/pandas/
+	https://pypi.org/project/pandas/
+"
+
+SLOT="0"
+LICENSE="BSD"
+KEYWORDS="~amd64 ~arm ~arm64 ~ppc ~ppc64 ~riscv ~x86 ~arm64-macos ~x64-macos"
+IUSE="full-support minimal test X"
+RESTRICT="!test? ( test )"
+
+RECOMMENDED_DEPEND="
+	>=dev-python/bottleneck-1.3.4[${PYTHON_USEDEP}]
+	>=dev-python/numexpr-2.8.0[${PYTHON_USEDEP}]
+"
+
+# TODO: add pandas-gbq to the tree
+# TODO: Re-add dev-python/statsmodel[python3_11] dep once it supports python3_11
+# https://github.com/statsmodels/statsmodels/issues/8287
+OPTIONAL_DEPEND="
+	>=dev-python/beautifulsoup4-4.11.1[${PYTHON_USEDEP}]
+	dev-python/blosc[${PYTHON_USEDEP}]
+	>=dev-python/html5lib-1.1[${PYTHON_USEDEP}]
+	>=dev-python/jinja-3.1.2[${PYTHON_USEDEP}]
+	>=dev-python/lxml-4.8.0[${PYTHON_USEDEP}]
+	>=dev-python/matplotlib-3.6.1[${PYTHON_USEDEP}]
+	>=dev-python/openpyxl-3.0.7[${PYTHON_USEDEP}]
+	>=dev-python/pytables-3.7.0[${PYTHON_USEDEP}]
+	>=dev-python/sqlalchemy-1.4.36[${PYTHON_USEDEP}]
+	>=dev-python/tabulate-0.8.10[${PYTHON_USEDEP}]
+	>=dev-python/xarray-2022.3.0[${PYTHON_USEDEP}]
+	>=dev-python/xlrd-2.0.1[${PYTHON_USEDEP}]
+	>=dev-python/xlsxwriter-3.0.3[${PYTHON_USEDEP}]
+	>=dev-python/xlwt-1.3.0[${PYTHON_USEDEP}]
+	!hppa? (
+		$(python_gen_cond_dep '
+			dev-python/statsmodels[${PYTHON_USEDEP}]
+		' python3_{8..10} )
+		>=dev-python/scipy-1.8.1[${PYTHON_USEDEP}]
+	)
+	X? (
+		|| (
+			>=dev-python/PyQt5-5.15.6[${PYTHON_USEDEP}]
+			>=dev-python/QtPy-2.2.0[${PYTHON_USEDEP}]
+			x11-misc/xclip
+			x11-misc/xsel
+		)
+	)
+"
+DEPEND="
+	>=dev-python/numpy-1.23.2[${PYTHON_USEDEP}]
+"
+COMMON_DEPEND="
+	${DEPEND}
+	>=dev-python/python-dateutil-2.8.2[${PYTHON_USEDEP}]
+	>=dev-python/pytz-2020.1[${PYTHON_USEDEP}]
+"
+BDEPEND="
+	${COMMON_DEPEND}
+	>=dev-python/cython-0.29.33[${PYTHON_USEDEP}]
+	>=dev-python/versioneer-0.28[${PYTHON_USEDEP}]
+	test? (
+		${VIRTUALX_DEPEND}
+		${RECOMMENDED_DEPEND}
+		${OPTIONAL_DEPEND}
+		>=dev-python/beautifulsoup4-4.11.1[${PYTHON_USEDEP}]
+		>=dev-python/hypothesis-6.46.1[${PYTHON_USEDEP}]
+		>=dev-python/openpyxl-3.0.10[${PYTHON_USEDEP}]
+		>=dev-python/pymysql-1.0.2[${PYTHON_USEDEP}]
+		>=dev-python/pytest-7.3.2[${PYTHON_USEDEP}]
+		>=dev-python/pytest-asyncio-0.17.0[${PYTHON_USEDEP}]
+		>=dev-python/pytest-xdist-2.2.0[${PYTHON_USEDEP}]
+		>=dev-python/psycopg-2.9.3:2[${PYTHON_USEDEP}]
+		>=dev-python/xlsxwriter-3.0.3[${PYTHON_USEDEP}]
+		x11-misc/xclip
+		x11-misc/xsel
+	)
+"
+RDEPEND="
+	${COMMON_DEPEND}
+	dev-python/tzdata[${PYTHON_USEDEP}]
+	!minimal? ( ${RECOMMENDED_DEPEND} )
+	full-support? ( ${OPTIONAL_DEPEND} )
+"
+
+PATCHES=(
+	# a quick hack, it's already fixed in main
+	"${FILESDIR}/pandas-2.1.1-which.patch"
+)
+
+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
+		tests/window/test_rolling.py::test_rolling_var_numerical_issues
+
+		# TODO; unhappy about DISPLAY?
+		tests/test_downstream.py::test_seaborn
+
+		# OOMs
+		tests/io/parser/test_c_parser_only.py::test_bytes_exceed_2gb
+
+		# TODO: numexpr says "forbidden control characters"
+		tests/computation/test_eval.py::TestOperations::test_multi_line_expression_local_variable
+		'tests/computation/test_eval.py::test_query_token[numexpr-Temp(\xb0C)]'
+		tests/frame/test_query_eval.py::TestDataFrameQueryBacktickQuoting::test_lots_of_operators_string
+		tests/frame/test_query_eval.py::TestDataFrameQueryBacktickQuoting::test_multiple_spaces
+		tests/frame/test_query_eval.py::TestDataFrameQueryBacktickQuoting::test_parenthesis
+		tests/frame/test_query_eval.py::TestDataFrameQueryBacktickQuoting::test_start_with_spaces
+		tests/frame/test_query_eval.py::TestDataFrameQueryNumExprPandas::test_local_syntax
+		tests/frame/test_query_eval.py::TestDataFrameQueryNumExprPandas::test_local_variable_with_in
+		tests/frame/test_query_eval.py::TestDataFrameQueryNumExprPandas::test_nested_scope
+		tests/frame/test_query_eval.py::TestDataFrameQueryNumExprPandas::test_query_scope
+
+		# TODO: missing data not covered by --no-strict-data-files?
+		tests/io/xml/test_xml.py::test_empty_stylesheet
+		tests/io/xml/test_xml.py::test_wrong_file_path
+
+		# TODO
+		tests/frame/test_arithmetic.py::TestFrameFlexArithmetic::test_floordiv_axis0_numexpr_path
+
+		# deprecation warning
+		tests/io/pytables/test_retain_attributes.py::test_retain_index_attributes2
+
+		# Needs 64-bit time_t (TODO: split into 32-bit arch only section)
+		tests/tseries/offsets/test_year.py::test_add_out_of_pydatetime_range
+		'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BusinessDay]'
+		'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BusinessHour]'
+		'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BusinessMonthEnd]'
+		'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BusinessMonthBegin]'
+		'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BQuarterEnd]'
+		'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BQuarterBegin]'
+		'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-CustomBusinessDay]'
+		'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-CustomBusinessHour]'
+		'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-CustomBusinessMonthEnd]'
+		'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-CustomBusinessMonthBegin]'
+		'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-MonthEnd]'
+		'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-MonthBegin]'
+		'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-SemiMonthBegin]'
+		'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-SemiMonthEnd]'
+		'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-QuarterEnd]'
+		'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-LastWeekOfMonth]'
+		'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-WeekOfMonth]'
+		'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-Week]'
+
+		# hdf / pytables have alignment problems: bug #911660
+		# https://github.com/pandas-dev/pandas/issues/54396
+		tests/io/pytables/test_append.py::test_append_frame_column_oriented
+		tests/io/pytables/test_store.py::test_select_filter_corner
+	)
+
+	local -x LC_ALL=C.UTF-8
+	cd "${BUILD_DIR}/install$(python_get_sitedir)" || die
+	"${EPYTHON}" -c "import pandas; pandas.show_versions()" || die
+	# --no-strict-data-files is necessary since upstream prevents data
+	# files from even being included in GitHub archives, sigh
+	# https://github.com/pandas-dev/pandas/issues/54907
+	epytest pandas/tests \
+		--no-strict-data-files \
+		--maxfail=32 \
+		-m "not single and not slow and not network" \
+		-n "$(makeopts_jobs)" --dist=worksteal ||
+		die "Tests failed with ${EPYTHON}"
+	rm test-data.xml || die
+}
+
+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-3.0.10" dev-python/xlsxwriter dev-python/xlrd dev-python/xlwt
+	optfeature "necessary for HDF5-based storage" ">=dev-python/pytables-3.7.0"
+	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-1.4.36"
+	optfeature "miscellaneous statistical functions" dev-python/scipy
+	optfeature "necessary to use pandas.io.clipboard.read_clipboard support" dev-python/PyQt5 dev-python/QtPy dev-python/pygtk x11-misc/xclip x11-misc/xsel
+}