dev-python/pandas: Drop 0.23.0_rc2

Package-Manager: Portage-2.3.36, Repoman-2.3.9

2 files changed, 0 insertions, 172 deletions

diff --git a/dev-python/pandas/Manifest b/dev-python/pandas/Manifest
index aaa066df211b..1b61c339db9d 100644
--- a/dev-python/pandas/Manifest
+++ b/dev-python/pandas/Manifest
@@ -1,3 +1,2 @@
 DIST pandas-0.19.1.tar.gz 8360233 BLAKE2B 82611ca1a3e3169ac2d084f4dcd9c4d4d74e9e9c9913a41acad48ae68a208a884dfd877445a7d658a7ff098ef383cedae7e79a4900baa8d56c032ce9aaad96eb SHA512 6451990a7fae8c6db8ab0b014a13b4f1828754d3998f13c17b111f891fb9fd23f8e09b907623096dfa55668c42298eee1373210a9fddb95f56dd7d552b964e6f
 DIST pandas-0.23.0.tar.gz 13092442 BLAKE2B e11ae088c9a4be481f516d83797b1b1d5e9c82f7d9fa98f1ea65e3405e33c99e1e1cf7a35f56a21d9dc922c1d0828b4947d9c6189a5f76ad5c1b28618293f9da SHA512 c9dc7bf843e3392b8b1b4d46c6aa6dd12435aa974abc875574a7a8794abe6ea531fa92d8a635153839fd3fef9059d96a4512831b86b1fb6fb69588c8b29a95d6
-DIST pandas-0.23.0rc2.tar.gz 12542694 BLAKE2B 7c6383d32430fec89b7d5cbb1f8eef0f2201ba85d5865118fa035b6ad4c852b5f4e691f98f0cf3ac5c1283720025f8500c43414d0931af5211972208428537bd SHA512 3df13f74dbcac00baffd39c732751d4e7bd16adf529b60b05b2373651d86e0aba37d6f3a4339df170e9ab3d89ee03fc18827dd3728ff972bcdfe3a0604bff59d
diff --git a/dev-python/pandas/pandas-0.23.0_rc2.ebuild b/dev-python/pandas/pandas-0.23.0_rc2.ebuild
deleted file mode 100644
index 57471830de8c..000000000000
--- a/dev-python/pandas/pandas-0.23.0_rc2.ebuild
+++ /dev/null
@@ -1,171 +0,0 @@
-# Copyright 1999-2018 Gentoo Foundation
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=6
-
-PYTHON_COMPAT=( python2_7 python3_{5,6} )
-PYTHON_REQ_USE="threads(+)"
-
-VIRTUALX_REQUIRED="manual"
-
-inherit distutils-r1 eutils flag-o-matic virtualx
-
-DESCRIPTION="Powerful data structures for data analysis and statistics"
-HOMEPAGE="http://pandas.pydata.org/"
-SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P/_/}.tar.gz"
-
-SLOT="0"
-LICENSE="BSD"
-KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
-IUSE="doc full-support minimal test X"
-
-RECOMMENDED_DEPEND="
-	dev-python/bottleneck[${PYTHON_USEDEP}]
-	>=dev-python/numexpr-2.1[${PYTHON_USEDEP}]
-"
-OPTIONAL_DEPEND="
-	dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
-	dev-python/blosc[${PYTHON_USEDEP}]
-	dev-python/boto[${PYTHON_USEDEP}]
-	>=dev-python/google-api-python-client-1.2.0[$(python_gen_usedep python2_7 pypy)]
-	|| (
-		dev-python/html5lib[${PYTHON_USEDEP}]
-		dev-python/lxml[${PYTHON_USEDEP}]
-	)
-	dev-python/httplib2[${PYTHON_USEDEP}]
-	dev-python/jinja[${PYTHON_USEDEP}]
-	dev-python/matplotlib[${PYTHON_USEDEP}]
-	|| (
-		>=dev-python/openpyxl-1.6.1[${PYTHON_USEDEP}]
-		dev-python/xlsxwriter[${PYTHON_USEDEP}]
-	)
-	>=dev-python/pytables-3.2.1[${PYTHON_USEDEP}]
-	dev-python/python-gflags[$(python_gen_usedep python2_7 pypy)]
-	dev-python/rpy[${PYTHON_USEDEP}]
-	dev-python/setuptools[${PYTHON_USEDEP}]
-	dev-python/statsmodels[${PYTHON_USEDEP}]
-	>=dev-python/sqlalchemy-0.8.1[${PYTHON_USEDEP}]
-	dev-python/xarray[${PYTHON_USEDEP}]
-	dev-python/xlrd[${PYTHON_USEDEP}]
-	dev-python/xlwt[${PYTHON_USEDEP}]
-	sci-libs/scipy[${PYTHON_USEDEP}]
-	X? (
-		|| (
-			dev-python/PyQt5[${PYTHON_USEDEP}]
-			dev-python/pygtk[$(python_gen_usedep python2_7)]
-		)
-		|| (
-			x11-misc/xclip
-			x11-misc/xsel
-		)
-	)
-"
-COMMON_DEPEND="
-	>dev-python/numpy-1.7[${PYTHON_USEDEP}]
-	>=dev-python/python-dateutil-2.0[${PYTHON_USEDEP}]
-	dev-python/pytz[${PYTHON_USEDEP}]
-"
-DEPEND="${COMMON_DEPEND}
-	dev-python/setuptools[${PYTHON_USEDEP}]
-	>=dev-python/cython-0.23[${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/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-1.2.1[${PYTHON_USEDEP}]
-		dev-python/xlrd[${PYTHON_USEDEP}]
-		dev-python/xlwt[${PYTHON_USEDEP}]
-		sci-libs/scipy[${PYTHON_USEDEP}]
-		x11-misc/xclip
-	)
-	test? (
-		${VIRTUALX_DEPEND}
-		${RECOMMENDED_DEPEND}
-		${OPTIONAL_DEPEND}
-		dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
-		dev-python/nose[${PYTHON_USEDEP}]
-		dev-python/pymysql[${PYTHON_USEDEP}]
-		dev-python/psycopg:2[${PYTHON_USEDEP}]
-		x11-misc/xclip
-		x11-misc/xsel
-	)
-"
-# dev-python/statsmodels invokes a circular dep
-#  hence rm from doc? ( ), again
-RDEPEND="${COMMON_DEPEND}
-	!<dev-python/numexpr-2.1[${PYTHON_USEDEP}]
-	!~dev-python/openpyxl-1.9.0[${PYTHON_USEDEP}]
-	!minimal? ( ${RECOMMENDED_DEPEND} )
-	full-support? ( ${OPTIONAL_DEPEND} )
-"
-
-S="${WORKDIR}/${P/_/}"
-
-python_prepare_all() {
-	# Prevent un-needed download during build
-	sed -e "/^              'sphinx.ext.intersphinx',/d" \
-		-i doc/source/conf.py || die
-
-	# https://github.com/pydata/pandas/issues/11299
-	sed -e 's:testOdArray:disable:g' \
-		-i pandas/tests/io/json/test_ujson.py || die
-
-	distutils-r1_python_prepare_all
-}
-
-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 ${EPYTHON} make.py html || die
-	fi
-}
-
-python_test() {
-	local test_pandas='not network and not disabled'
-	[[ -n "${FAST_PANDAS}" ]] && test_pandas+=' and not slow'
-	pushd  "${BUILD_DIR}"/lib > /dev/null
-	"${EPYTHON}" -c "import pandas; pandas.show_versions()" || die
-	PYTHONPATH=. MPLCONFIGDIR=. \
-		virtx nosetests --verbosity=3 -A "${test_pandas}" pandas
-	popd > /dev/null
-}
-
-python_install_all() {
-	if use doc; then
-		dodoc -r "${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 "necessary for Amazon S3 access" dev-python/boto
-	optfeature "needed for pandas.io.gbq" dev-python/httplib2 dev-python/setuptools dev-python/python-gflags ">=dev-python/google-api-python-client-1.2.0"
-	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-1.6.1" 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-0.8.1"
-	optfeature "miscellaneous statistical functions" sci-libs/scipy
-	optfeature "necessary to use pandas.io.clipboard.read_clipboard support" dev-python/PyQt5 dev-python/pygtk x11-misc/xclip x11-misc/xsel
-}