dev-python/pandas: Remove redundant versions

Signed-off-by: Michał Górny <mgorny@gentoo.org>

2 files changed, 0 insertions, 165 deletions

diff --git a/dev-python/pandas/Manifest b/dev-python/pandas/Manifest
index 246e388652b0..9d45304ee7c3 100644
--- a/dev-python/pandas/Manifest
+++ b/dev-python/pandas/Manifest
@@ -1,4 +1,3 @@
 DIST pandas-0.24.2.tar.gz 11837693 BLAKE2B 3762e94554a3ae3c803c9a412c5c551c15a9fbf15cb05633f7d1b0ccbfddc646f68f0306666e688a83a4495b0537cea2fec671157f5a63aaa5f9cad6b791261e SHA512 0795c6bb8a47a511853558ea59d371b4540ec175f213cfba4ad2361d6481fea5d3f7074bb4961c32f2f0080a72d7436a9b3706f5cc692074f98d83bfc587fd15
-DIST pandas-1.0.1.tar.gz 4852368 BLAKE2B d6d3ae757d245b665e4b67bd237c090ddff97688934268b171e278a14d2439f5d993addc304f16a0ac9ab7bc34bfe36df807f998148106b062c567a5a7f14f4a SHA512 6755d17a4a4a8c3770f413199a12b3c4d6b5f5fcc925bec9b9b0f813fcd020df0b2c0a32dc8528c795b16556e00c078a03e4a6746192b44bfbd7ffc809c1e56c
 DIST pandas-1.0.4.tar.gz 5040267 BLAKE2B 2855b1708e1ae4c56b6118613ec644d010a3af7db474bb30aec3cf84e497371af03b63a2168f6daf0fc42da07274f8724734117c6aaea34f49eeafbf6ac73b9f SHA512 01ef73cab3db067ca4a29992d71aa637425b8d70473fde6ccfb359dfedc9546315c6d37d74f3825c924cab789c2536ec69db071a303cfc5e1a7897b253dd9467
 DIST pandas-1.0.5.tar.gz 5007108 BLAKE2B 6aff9602f8b1642af1dca70c7c596f2978bfef8ca9bc782d55aeeab85d3768289849ccd0150291c33cab3442d38cedada91fb846abaade1b3905098edb06c06e SHA512 bb9e3ed9988f7b878ac6f9d7c6c054b119acfc4b960ae42ea92436979ef2098289123cac32b176753942a1edb3b6bd35c4eaf05112a25fbf8a89078fd76a2646
diff --git a/dev-python/pandas/pandas-1.0.1.ebuild b/dev-python/pandas/pandas-1.0.1.ebuild
deleted file mode 100644
index c2bd75a1183a..000000000000
--- a/dev-python/pandas/pandas-1.0.1.ebuild
+++ /dev/null
@@ -1,164 +0,0 @@
-# Copyright 1999-2020 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=7
-
-PYTHON_COMPAT=( python3_{6,7} )
-PYTHON_REQ_USE="threads(+)"
-
-VIRTUALX_REQUIRED="manual"
-DISTUTILS_USE_SETUPTOOLS=rdepend
-
-inherit distutils-r1 eutils flag-o-matic virtualx
-
-DESCRIPTION="Powerful data structures for data analysis and statistics"
-HOMEPAGE="https://pandas.pydata.org/"
-SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P/_/}.tar.gz"
-
-SLOT="0"
-LICENSE="BSD"
-KEYWORDS="~amd64 ~x86"
-IUSE="doc full-support minimal test X"
-RESTRICT="!test? ( test )"
-
-RECOMMENDED_DEPEND="
-	>=dev-python/bottleneck-1.2.1[${PYTHON_USEDEP}]
-	>=dev-python/numexpr-2.1[${PYTHON_USEDEP}]
-"
-
-# TODO: add pandas-gbq to the tree
-OPTIONAL_DEPEND="
-	dev-python/beautifulsoup:4[${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/s3fs[${PYTHON_USEDEP}]
-	dev-python/statsmodels[${PYTHON_USEDEP}]
-	>=dev-python/sqlalchemy-0.8.1[${PYTHON_USEDEP}]
-	>=dev-python/xarray-0.10.8[${PYTHON_USEDEP}]
-	>=dev-python/xlrd-1.0.0[${PYTHON_USEDEP}]
-	dev-python/xlwt[${PYTHON_USEDEP}]
-	>=sci-libs/scipy-1.1[${PYTHON_USEDEP}]
-	X? (
-		|| (
-			dev-python/PyQt5[${PYTHON_USEDEP}]
-			x11-misc/xclip
-			x11-misc/xsel
-		)
-	)
-"
-COMMON_DEPEND="
-	>dev-python/numpy-1.13.1[${PYTHON_USEDEP}]
-	dev-python/python-dateutil[${PYTHON_USEDEP}]
-	dev-python/pytz[${PYTHON_USEDEP}]
-"
-DEPEND="${COMMON_DEPEND}
-	dev-python/setuptools[${PYTHON_USEDEP}]
-	dev-python/cython[${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/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[${PYTHON_USEDEP}]
-		sci-libs/scipy[${PYTHON_USEDEP}]
-		x11-misc/xclip
-	)
-	test? (
-		${VIRTUALX_DEPEND}
-		${RECOMMENDED_DEPEND}
-		${OPTIONAL_DEPEND}
-		dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
-		dev-python/hypothesis[${PYTHON_USEDEP}]
-		dev-python/nose[${PYTHON_USEDEP}]
-		dev-python/pymysql[${PYTHON_USEDEP}]
-		dev-python/pytest[${PYTHON_USEDEP}]
-		dev-python/pytest-mock[${PYTHON_USEDEP}]
-		dev-python/psycopg:2[${PYTHON_USEDEP}]
-		x11-misc/xclip
-		x11-misc/xsel
-	)
-"
-# dev-python/statsmodels invokes a circular dep
-#  hence rm from doc? ( ), again
-RDEPEND="${COMMON_DEPEND}
-	!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
-
-	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 ${EPYTHON} make.py html
-	fi
-}
-
-python_test() {
-	pushd  "${BUILD_DIR}"/lib > /dev/null
-	"${EPYTHON}" -c "import pandas; pandas.show_versions()" || die
-	PYTHONPATH=. virtx pytest pandas -v --skip-slow --skip-network \
-		-m "not single"
-	find . -name .pytest_cache -exec rm -r {} + || die
-	popd > /dev/null
-}
-
-python_install_all() {
-	if use doc; then
-		dodoc -r "${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/s3fs
-	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
-}