commit:     18edea7e3774cf8c6d39e33d2b6b63f56e4a5140
Author:     Horea Christian <horea.christ <AT> yandex <DOT> com>
AuthorDate: Thu Mar  7 13:25:40 2019 +0000
Commit:     Patrice Clement <monsieurp <AT> gentoo <DOT> org>
CommitDate: Sun Mar 10 22:35:28 2019 +0000
URL:        https://gitweb.gentoo.org/repo/gentoo.git/commit/?id=18edea7e

dev-python/pandas: version bump 0.24.1 EAPI bump 7.

Package-Manager: Portage-2.3.62, Repoman-2.3.12
Signed-off-by: Horea Christian <horea.christ <AT> yandex.com>
Closes: https://github.com/gentoo/gentoo/pull/11291
Signed-off-by: Patrice Clement <monsieurp <AT> gentoo.org>

 dev-python/pandas/Manifest             |   1 +
 dev-python/pandas/pandas-0.24.1.ebuild | 171 +++++++++++++++++++++++++++++++++
 2 files changed, 172 insertions(+)

diff --git a/dev-python/pandas/Manifest b/dev-python/pandas/Manifest
index a786c571827..12e6c6bfc5c 100644
--- a/dev-python/pandas/Manifest
+++ b/dev-python/pandas/Manifest
@@ -1,3 +1,4 @@
 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-0.23.4.tar.gz 10490077 BLAKE2B 
28a78860e0aa5de8def7bb529fc98b9121a516b7fd7620e31e000ae14217165e6677ce26b56da0b9c603930ab1304725c644426a135d8f9b2a84921b88f3d23d
 SHA512 
0c89db820a49e0cfb9764e64589ff9af819f9a53c01bd0254cd1b6dbd1e9fd452b2ff7c7330ede7623c7576589113e831a19a57c735562b55f90506df15805b9
+DIST pandas-0.24.1.tar.gz 11832827 BLAKE2B 
fd30fb736be9ac1e1778d78963ffa33e492fa27a54767c93647cef826cc95459dc97d07a88836554586c9a2db038fb2d897caa8bd1413433f276cffbdb49b1cc
 SHA512 
15f75308f4c437ad0096c3a3d768563b071b3d8e55e1850a5ee0f980f56a9d8d1b9fed9d7707ba43e80052e6c5fea313ac1ad2687935f0ab37a16a68bf64ae19

diff --git a/dev-python/pandas/pandas-0.24.1.ebuild 
b/dev-python/pandas/pandas-0.24.1.ebuild
new file mode 100644
index 00000000000..25670ee8bcf
--- /dev/null
+++ b/dev-python/pandas/pandas-0.24.1.ebuild
@@ -0,0 +1,171 @@
+# Copyright 1999-2019 Gentoo Authors
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=7
+
+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}/${P/_/}.tar.gz"
+
+SLOT="0"
+LICENSE="BSD"
+KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
+IUSE="doc full-support minimal test X"
+
+RECOMMENDED_DEPEND="
+       >=dev-python/bottleneck-1.2.1[${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-0.10.8[${PYTHON_USEDEP}]
+       dev-python/xlrd[${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/nbsphinx[${PYTHON_USEDEP}]
+               >=dev-python/openpyxl-1.6.1[${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/pytest[${PYTHON_USEDEP}]
+               dev-python/psycopg:2[${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}/${P/_/}"
+
+#PATCHES=(
+#      "${FILESDIR}/${PN}-0.23.4-skip-broken-test.patch"
+#)
+
+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 ${EPYTHON} make.py html || die
+       fi
+}
+
+python_test() {
+       pushd  "${BUILD_DIR}"/lib > /dev/null
+       "${EPYTHON}" -c "import pandas; pandas.show_versions()" || die
+       PYTHONPATH=. virtx pytest pandas -v --skip-slow --skip-network \
+               -m "not single"
+       popd > /dev/null
+}
+
+python_install_all() {
+       if use doc; then
+               dodoc -r "${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
+}

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