gentoo auto-resync : 31:08:2023 - 10:10:44

2 files changed, 139 insertions, 0 deletions

diff --git a/dev-python/pandas/Manifest b/dev-python/pandas/Manifest
index d91882db80bd..c9faae23453f 100644
--- a/dev-python/pandas/Manifest
+++ b/dev-python/pandas/Manifest
@@ -5,6 +5,7 @@ DIST pandas-2.0.0.tar.gz 5271334 BLAKE2B 80782f407cb93866ca445518f45ea36e081b789
 DIST pandas-2.0.1.tar.gz 5279594 BLAKE2B 84dbab2c6079c77eb7f367aaabc2f4d0c8205a3d8bd2e4db9f071cf1d25c53a32f91679ae7ff56e21e76447a675b4f4e7c660708f3e2a7a56753137018239dd6 SHA512 ecb150045c82ef649fcdd940c3b45884f0f9f8a51402b331fc247c148f669fe7bece33b331d1ddac84b7fef39d096ad7488057d3772e74d087ea26bb9cac3994
 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
 EBUILD pandas-1.5.1.ebuild 6844 BLAKE2B 6ca6773bdbe62afb23995ff7da8733c57ab74f1d0c1258b60430e37cd66b9c92a0939dcb83c85570bd9f36301674ce5a26a3c916d841cf759c4076b5d9370e35 SHA512 9aa26f4e18b3272a8333a8a04db41c18e3dba7380a46089c9465a74c03324eb89fa456fb38db8cd3cbda82d70e179b5bc1b6962a9dc67e0b848dbb519a866cfa
 EBUILD pandas-1.5.2.ebuild 6845 BLAKE2B 48888c3de9424339f613708616417f4a228728984ec69fac28b24847f892f3fc103950cee1066e8e3b4da2562f977d9bf1ca2d20ed49e0754f7fa0428a086b6a SHA512 73eb7ced8dd88578f4b45dbc99c4b3f81a00866a26016bb858833bb296e782399fe76d2bd94a3e444b244cbb759c8716857e6cd4a8927a0f119968075c1f40b9
 EBUILD pandas-1.5.3.ebuild 7192 BLAKE2B f6e499aa65fa3e4005b99428f82c7ff26958f087602f04f089af890c68f4f56ca4d70ebb0f15dd57d3c58edd1f1b7062f28711600ec9428e578592a6ecb23d06 SHA512 bf0638732d7c5e39196e3952f5cd8d8d657907f9f87586e7208254419b66965ccc9b05d653b48b9d3d21aba11a3d2600cad7b9cfaad6368830d74f9e8c47e319
@@ -12,4 +13,5 @@ EBUILD pandas-2.0.0.ebuild 7485 BLAKE2B f8e46eb256077d91844b5c158aed257f4072e57d
 EBUILD pandas-2.0.1.ebuild 7523 BLAKE2B 06f0c8337b31b89535745057efe19d192f6fcd4cb5d1e0eda8b3f3bc809533618cad487885159a04b8475b413e87640be62b376bac3364a2fbee83f49a91691f SHA512 9d7aa683cf0bae4f847d1e28eaf5b1100bfffad292b8a95d5a857e21307a82a95058c13957d3452730c88f31d1cb2aa28990d10457e1b28a779cf567ee03a1f4
 EBUILD pandas-2.0.2.ebuild 7601 BLAKE2B 806c707327c80b0e914e4a6e804aab5f24f7ca1fd79fe3ac15dbc1cba63ca65d8b7df97b2d78722f8526e3a32c07b8f31bb8ea418d886387fb711a6090453cb9 SHA512 98960556415b55c48f9123006791066e22cb8ac199c5571926b03ac709057036fefab6c9c4f3361b2cd0adaba59d51caa8a327d98327feda9fff79f2c78c2351
 EBUILD pandas-2.0.3-r1.ebuild 10112 BLAKE2B 46ee9d87dec04e79937dafc79104bbca11fc45d7ea2e45e985cd4bf90f355def967060d22dd807b90d968b359a9d63c80c965cacb148da1310d074a905cf22d1 SHA512 090f1a1fc78d920b9d5b38e932c285100b01607b6ab54d2839d70db9954f5bf12c3d1beba74f05feac13f11b132f4af2ae6e297a54fc785e63fa6cf55feda7b9
+EBUILD pandas-2.1.0.ebuild 4801 BLAKE2B ffcc48186e67d4d61b79c931ba4e0590ab321bd1156a832fdd06e9bc7f7a49df48be8a6752b9bce7df589bdce9567324bf2c5ce9878aabe4e5e44b51901d74e7 SHA512 5398a5f31608ea0056e6f4cb9c510568f543daad488b0e2bc4dd48f4b2048c1b9e109beb2cac4eeb030ccdb7c7a12204001f531f0f1854b20fc1c30f0d95c8df
 MISC metadata.xml 920 BLAKE2B d6bd854acdd851d578038657d91adaedf4f220dbdc5905ebba5e35e74437c6d5bc2384061f7796a6f359aa128c526485635debfd0e1a9646d09daed740167c87 SHA512 dcd949e89cae9df918acb3cf8be5ad8c396ee5e646d2179aa2b646fafa15ffc11e9ccf853df8d7fdcc787f88ce7063639d8d87715aaba943774edc8ad98b540a
diff --git a/dev-python/pandas/pandas-2.1.0.ebuild b/dev-python/pandas/pandas-2.1.0.ebuild
new file mode 100644
index 000000000000..9de1179c87be
--- /dev/null
+++ b/dev-python/pandas/pandas-2.1.0.ebuild
@@ -0,0 +1,137 @@
+# 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 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/
+"
+SRC_URI="
+	https://github.com/pandas-dev/pandas/releases/download/v${PV}/${P}.tar.gz
+"
+S=${WORKDIR}/${P/_/}
+
+SLOT="0"
+LICENSE="BSD"
+# new meson build that:
+# 1) sometimes fails on .pxi.in → .pyx ordering
+#    https://github.com/pandas-dev/pandas/issues/54889
+# 2) creates a broken wheel with two pandas/_libs/__init__.py files
+#    https://github.com/pandas-dev/pandas/issues/54888
+KEYWORDS=""
+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? ( ${OPTIONAL_DEPEND} )
+"
+
+src_test() {
+	virtx distutils-r1_src_test
+}
+
+python_test() {
+	local -x LC_ALL=C.UTF-8
+	cd "${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)" || die "Tests failed with ${EPYTHON}"
+}
+
+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
+}