* [gentoo-commits] repo/gentoo:master commit in: dev-python/pandas/
@ 2015-11-24 12:10 99% Justin Lecher
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From: Justin Lecher @ 2015-11-24 12:10 UTC (permalink / raw
To: gentoo-commits
commit: 24a65d2d80ba9f84e009c3c000a0d360e7d93992
Author: Justin Lecher <jlec <AT> gentoo <DOT> org>
AuthorDate: Tue Nov 24 12:10:12 2015 +0000
Commit: Justin Lecher <jlec <AT> gentoo <DOT> org>
CommitDate: Tue Nov 24 12:10:17 2015 +0000
URL: https://gitweb.gentoo.org/repo/gentoo.git/commit/?id=24a65d2d
dev-python/pandas: Version Bump
Package-Manager: portage-2.2.25
Signed-off-by: Justin Lecher <jlec <AT> gentoo.org>
dev-python/pandas/Manifest | 1 +
dev-python/pandas/metadata.xml | 1 +
dev-python/pandas/pandas-0.17.0.ebuild | 1 +
.../{pandas-0.17.0.ebuild => pandas-0.17.1.ebuild} | 113 +++++++++++++--------
4 files changed, 72 insertions(+), 44 deletions(-)
diff --git a/dev-python/pandas/Manifest b/dev-python/pandas/Manifest
index e05319e..bb4cfe6 100644
--- a/dev-python/pandas/Manifest
+++ b/dev-python/pandas/Manifest
@@ -1,2 +1,3 @@
DIST pandas-0.16.2.tar.gz 4931751 SHA256 e01853dfe111f3aea005315573400b7216ddbabbf1f28d482a71217d67ae4f81 SHA512 44874e12a42a01dd7ed88f3f97e954732a534a5e2dc4815ef6203bdb2d88850a607e6631a35ae8fc79f4621a5dfaa34f39bb1c9a0ecfb17da1cf0c10f35ff27b WHIRLPOOL 6f2874ac07b49f4b2aaefdb87375b7c5adb31e3ff60c6b808f3e3467ad82999dd894de884ebbfd64fc7235e875d17ce871b516c96ff71a17310b708597168702
DIST pandas-0.17.0.tar.gz 6508621 SHA256 320d4fdf734b82adebc8fde9d8ca4b05fe155a72b6f7aa95d76242da8748d6a4 SHA512 bae6964e263c7ff6cac722cdfe23081f23c357d9bc39a670b5627bef4630c236a58aa8c0393eae921721bf7049c8e5266b4dea71dd957da5d89dafc14a04797b WHIRLPOOL d654eb2f9ffbfedbde60e4a6e6ce6f54650a8a68b4d20035744aa55111525d6bba4dae2ccbfce65acf71bb200e2e6029c7f6c9bcc9d0c582d808444738baedb1
+DIST pandas-0.17.1.tar.gz 6674479 SHA256 cfd7214a7223703fe6999fbe34837749540efee1c985e6aee9933f30e3f72837 SHA512 9d9f9064585b1f3551625e0c8f4eedaaa1253790c2a5cb28e58e70eb805cc18f9770d793aa748cbd76798488ff60efdd01eb4b21daf5ad8f1dc4d9c050487234 WHIRLPOOL 5238575bd64b8d38db4f9a0ea987a7f78ffd1821e5a22bad65c84c407feca3af6f3b536a0a2f337291aa04e94c86fdb40382dad4ce50f8a33a5e26d655c628c2
diff --git a/dev-python/pandas/metadata.xml b/dev-python/pandas/metadata.xml
index f56691d..b78ecc9 100644
--- a/dev-python/pandas/metadata.xml
+++ b/dev-python/pandas/metadata.xml
@@ -10,6 +10,7 @@
world data analysis in Python.
</longdescription>
<use>
+ <flag name="full-support">Pull all packages to give pandas full support</flag>
<flag name="excel">Pull a few Python packages for Microsoft Excel i/o</flag>
<flag name="html">Enable HTML i/o via <pkg>dev-python/beautifulsoup</pkg></flag>
<flag name="R">Enable support for R via <pkg>dev-python/rpy</pkg></flag>
diff --git a/dev-python/pandas/pandas-0.17.0.ebuild b/dev-python/pandas/pandas-0.17.0.ebuild
index a3fd1ca..309b01e 100644
--- a/dev-python/pandas/pandas-0.17.0.ebuild
+++ b/dev-python/pandas/pandas-0.17.0.ebuild
@@ -111,6 +111,7 @@ python_test() {
local test_pandas='not network and not disabled'
[[ -n "${FAST_PANDAS}" ]] && test_pandas+=' and not slow'
pushd "${BUILD_DIR}"/lib > /dev/null
+ "${EPYTHON}" -c "import pandas; pandas.show_versions()" || die
VIRTUALX_COMMAND="nosetests"
PYTHONPATH=. MPLCONFIGDIR=. \
virtualmake --verbosity=3 -A "${test_pandas}" pandas
diff --git a/dev-python/pandas/pandas-0.17.0.ebuild b/dev-python/pandas/pandas-0.17.1.ebuild
similarity index 52%
copy from dev-python/pandas/pandas-0.17.0.ebuild
copy to dev-python/pandas/pandas-0.17.1.ebuild
index a3fd1ca..27eb129 100644
--- a/dev-python/pandas/pandas-0.17.0.ebuild
+++ b/dev-python/pandas/pandas-0.17.1.ebuild
@@ -16,72 +16,86 @@ SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz"
SLOT="0"
LICENSE="BSD"
KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
-IUSE="doc excel html test R"
+IUSE="doc -minimal full-support test X"
-EXTRA_DEPEND="
+MINIMAL_DEPEND="
+ >dev-python/numpy-1.7[${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/openpyxl[${PYTHON_USEDEP}]
- dev-python/pymysql[${PYTHON_USEDEP}]
+ || ( 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[$(python_gen_usedep python2_7 pypy)]
- dev-python/psycopg:2[${PYTHON_USEDEP}]
+ dev-python/rpy[${PYTHON_USEDEP}]
+ dev-python/setuptools[${PYTHON_USEDEP}]
dev-python/statsmodels[${PYTHON_USEDEP}]
- dev-python/sqlalchemy[${PYTHON_USEDEP}]
+ >=dev-python/sqlalchemy-0.8.1[${PYTHON_USEDEP}]
+ dev-python/xlrd[${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[$(python_gen_usedep python2_7)]
+ )
+ || (
+ x11-misc/xclip
+ x11-misc/xsel
+ )
+ )
"
-CDEPEND="
- >dev-python/numpy-1.7[${PYTHON_USEDEP}]
- >=dev-python/python-dateutil-2.0[${PYTHON_USEDEP}]
- !~dev-python/openpyxl-1.9.0[${PYTHON_USEDEP}]"
-DEPEND="${CDEPEND}
+
+DEPEND="${MINIMAL_DEPEND}
+ dev-python/setuptools[${PYTHON_USEDEP}]
>=dev-python/cython-0.19.1[${PYTHON_USEDEP}]
doc? (
dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
- dev-python/ipython[${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}]
- sci-libs/scipy[${PYTHON_USEDEP}]
>=dev-python/sphinx-1.2.1[${PYTHON_USEDEP}]
dev-python/xlrd[${PYTHON_USEDEP}]
dev-python/xlwt[${PYTHON_USEDEP}]
+ sci-libs/scipy[${PYTHON_USEDEP}]
x11-misc/xclip
- )
+ )
test? (
- ${EXTRA_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[${PYTHON_USEDEP}]
x11-misc/xclip
x11-misc/xsel
- )"
+ )"
# dev-python/statsmodels invokes a circular dep
# hence rm from doc? ( ), again
-RDEPEND="${CDEPEND}
- >=dev-python/numexpr-2.1[${PYTHON_USEDEP}]
- dev-python/bottleneck[${PYTHON_USEDEP}]
- dev-python/matplotlib[${PYTHON_USEDEP}]
- dev-python/pytables[${PYTHON_USEDEP}]
- dev-python/pytz[${PYTHON_USEDEP}]
- sci-libs/scipy[${PYTHON_USEDEP}]
- excel? (
- dev-python/xlrd[${PYTHON_USEDEP}]
- dev-python/xlwt[${PYTHON_USEDEP}]
- || (
- dev-python/xlsxwriter[${PYTHON_USEDEP}]
- >=dev-python/openpyxl-1.6.1[${PYTHON_USEDEP}]
- )
- )
- html? (
- dev-python/beautifulsoup:4[${PYTHON_USEDEP}]
- || (
- dev-python/lxml[${PYTHON_USEDEP}]
- dev-python/html5lib[${PYTHON_USEDEP}] )
- )
- R? ( dev-python/rpy[${PYTHON_USEDEP}] )"
+RDEPEND="
+ ${MINIMAL_DEPEND}
+ !minimal? ( ${RECOMMENDED_DEPEND} )
+ full-support? ( ${OPTIONAL_DEPEND} )"
-PATCHES=(
+_PATCHES=(
"${FILESDIR}"/${P}-testfix-backport.patch
)
@@ -111,6 +125,7 @@ python_test() {
local test_pandas='not network and not disabled'
[[ -n "${FAST_PANDAS}" ]] && test_pandas+=' and not slow'
pushd "${BUILD_DIR}"/lib > /dev/null
+ "${EPYTHON}" -c "import pandas; pandas.show_versions()" || die
VIRTUALX_COMMAND="nosetests"
PYTHONPATH=. MPLCONFIGDIR=. \
virtualmake --verbosity=3 -A "${test_pandas}" pandas
@@ -129,9 +144,19 @@ python_install_all() {
}
pkg_postinst() {
- local x
- elog "Please install"
- for x in ${EXTRA_DEPEND}; do
- optfeature "additional functionality" "${x%%[*}"
- done
+ 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 :mod:`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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