commit:     8a289271662e2dd706f5589b4c208356bd5fdbbb
Author:     Sébastien Fabbro <bicatali <AT> gentoo <DOT> org>
AuthorDate: Wed Jul 12 19:28:16 2017 +0000
Commit:     Sebastien Fabbro <bicatali <AT> gentoo <DOT> org>
CommitDate: Wed Jul 12 19:28:47 2017 +0000
URL:        https://gitweb.gentoo.org/repo/gentoo.git/commit/?id=8a289271

dev-python/pandas: version bump

Package-Manager: Portage-2.3.6, Repoman-2.3.2

 dev-python/pandas/Manifest             |   1 +
 dev-python/pandas/pandas-0.20.3.ebuild | 157 +++++++++++++++++++++++++++++++++
 2 files changed, 158 insertions(+)

diff --git a/dev-python/pandas/Manifest b/dev-python/pandas/Manifest
index 80b1bf9ae5b..299a7776968 100644
--- a/dev-python/pandas/Manifest
+++ b/dev-python/pandas/Manifest
@@ -3,3 +3,4 @@ DIST pandas-0.17.0.tar.gz 6508621 SHA256 
320d4fdf734b82adebc8fde9d8ca4b05fe155a7
 DIST pandas-0.17.1.tar.gz 6674479 SHA256 
cfd7214a7223703fe6999fbe34837749540efee1c985e6aee9933f30e3f72837 SHA512 
9d9f9064585b1f3551625e0c8f4eedaaa1253790c2a5cb28e58e70eb805cc18f9770d793aa748cbd76798488ff60efdd01eb4b21daf5ad8f1dc4d9c050487234
 WHIRLPOOL 
5238575bd64b8d38db4f9a0ea987a7f78ffd1821e5a22bad65c84c407feca3af6f3b536a0a2f337291aa04e94c86fdb40382dad4ce50f8a33a5e26d655c628c2
 DIST pandas-0.19.1.tar.gz 8360233 SHA256 
2509feaeda72fce03675e2eccd2284bb1cadb6a0737008a5e741fe2431d47421 SHA512 
6451990a7fae8c6db8ab0b014a13b4f1828754d3998f13c17b111f891fb9fd23f8e09b907623096dfa55668c42298eee1373210a9fddb95f56dd7d552b964e6f
 WHIRLPOOL 
700c0d819ab62134baf56430b7fa8840636ea377d00397341d33ec5f13474d9eeefea245aede80a80f7c16348ef811788947e5fe0020c9770005c74dd1288ef3
 DIST pandas-0.20.1.tar.gz 10307434 SHA256 
42707365577ef69f7c9c168ddcf045df2957595a9ee71bc13c7997eecb96b190 SHA512 
d477a815914c825efd6430f7eb19f3f9115c1c4ab03000ca6d4f64023f7b5f53eff512792fea2d8b33c7febb3667fc3a3de55f11eeb453f285cae40e6b473707
 WHIRLPOOL 
fca35c7178441e3cfe990740aecba923d8b3d56d70fa7b0285b09305a0d2f7a6ad01bb906d6d92748a038a3841cda783f01f75f93b67f15c53c9854a43819841
+DIST pandas-0.20.3.tar.gz 10402185 SHA256 
a777e07633d83d546c55706420179551c8e01075b53c497dcf8ae4036766bc66 SHA512 
891c7e04d075f96fadf3775e903472e279eaeaa4509eb0da81a74261a3ed86ff309de0b5a2c100ee93dd968fed1df6d7e426ca78785b2b36785fe7679218fdc5
 WHIRLPOOL 
7a2a09e0a0d74cad4c8c89b63ecebad73e8defc99f17cbcd0ab56ca23cf9b1eb7c142b07d52ce9e53c7409ace0d4f71df9c855fef9817fa74f48b90bb51e6cf5

diff --git a/dev-python/pandas/pandas-0.20.3.ebuild 
b/dev-python/pandas/pandas-0.20.3.ebuild
new file mode 100644
index 00000000000..a28647857c1
--- /dev/null
+++ b/dev-python/pandas/pandas-0.20.3.ebuild
@@ -0,0 +1,157 @@
+# Copyright 1999-2017 Gentoo Foundation
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=6
+
+PYTHON_COMPAT=( python2_7 python3_{4,5,6} )
+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}/${P}.tar.gz"
+
+SLOT="0"
+LICENSE="BSD"
+KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
+IUSE="doc -minimal full-support test X"
+
+MINIMAL_DEPEND="
+       >dev-python/numpy-1.7[${PYTHON_USEDEP}]
+       >=dev-python/python-dateutil-2.0[${PYTHON_USEDEP}]
+       dev-python/pytz[${PYTHON_USEDEP}]
+       !<dev-python/numexpr-2.1[${PYTHON_USEDEP}]
+       !~dev-python/openpyxl-1.9.0[${PYTHON_USEDEP}]"
+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[${PYTHON_USEDEP}]
+       X? (
+               || (
+                       dev-python/PyQt4[${PYTHON_USEDEP}]
+                       dev-python/pyside[${PYTHON_USEDEP}]
+                       dev-python/pygtk[$(python_gen_usedep python2_7)]
+               )
+               || (
+                       x11-misc/xclip
+                       x11-misc/xsel
+               )
+       )
+       "
+
+DEPEND="${MINIMAL_DEPEND}
+       dev-python/setuptools[${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="
+       ${MINIMAL_DEPEND}
+       !minimal? ( ${RECOMMENDED_DEPEND} )
+       full-support? ( ${OPTIONAL_DEPEND} )"
+
+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 ${EPYTHON} make.py html || die
+       fi
+}
+
+python_test() {
+       local test_pandas='not network and not disabled'
+       [[ -n "${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/PyQt4 dev-python/pyside dev-python/pygtk x11-misc/xclip 
x11-misc/xsel
+}

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