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author | Virgil Dupras <vdupras@gentoo.org> | 2018-08-23 14:06:13 -0400 |
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committer | Virgil Dupras <vdupras@gentoo.org> | 2018-08-23 14:06:13 -0400 |
commit | cc8ad060fa2302154dc6ad938df1ac2f47e4ad69 (patch) | |
tree | 1876e8b771d65c8bae0d042ac841f009f7635b19 /dev-python/pandas/pandas-0.23.4.ebuild | |
parent | app-emulation/lxc: properly pin automake (diff) | |
download | gentoo-cc8ad060fa2302154dc6ad938df1ac2f47e4ad69.tar.gz gentoo-cc8ad060fa2302154dc6ad938df1ac2f47e4ad69.tar.bz2 gentoo-cc8ad060fa2302154dc6ad938df1ac2f47e4ad69.zip |
dev-python/pandas: bump to 0.23.4
Also, make tests pass. Tests around the pandas ecosystem are rather
fragile and depend heavily on dependency versions. Dependency
constraints in the ebuild are tighter than upstream's, but it's
necessary to make tests pass.
Package-Manager: Portage-2.3.47, Repoman-2.3.10
Diffstat (limited to 'dev-python/pandas/pandas-0.23.4.ebuild')
-rw-r--r-- | dev-python/pandas/pandas-0.23.4.ebuild | 171 |
1 files changed, 171 insertions, 0 deletions
diff --git a/dev-python/pandas/pandas-0.23.4.ebuild b/dev-python/pandas/pandas-0.23.4.ebuild new file mode 100644 index 000000000000..b9c5ce203a1a --- /dev/null +++ b/dev-python/pandas/pandas-0.23.4.ebuild @@ -0,0 +1,171 @@ +# 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}/${P/_/}.tar.gz" + +SLOT="0" +LICENSE="BSD" +KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux" +IUSE="doc full-support minimal test X" + +RECOMMENDED_DEPEND=" + >=dev-python/bottleneck-1.2.1[${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 +} |