From feb0daf81d888e9160f9f94502de09b66f2a63fd Mon Sep 17 00:00:00 2001 From: V3n3RiX Date: Sun, 21 Jun 2020 17:50:24 +0100 Subject: gentoo resync : 21.06.2020 --- dev-python/pandas/Manifest | 6 +- dev-python/pandas/pandas-1.0.4.ebuild | 31 ++++-- dev-python/pandas/pandas-1.0.5.ebuild | 175 ++++++++++++++++++++++++++++++++++ dev-python/pandas/pandas-9999.ebuild | 68 +++++++------ 4 files changed, 238 insertions(+), 42 deletions(-) create mode 100644 dev-python/pandas/pandas-1.0.5.ebuild (limited to 'dev-python/pandas') diff --git a/dev-python/pandas/Manifest b/dev-python/pandas/Manifest index 5314998664bb..b5160d037c34 100644 --- a/dev-python/pandas/Manifest +++ b/dev-python/pandas/Manifest @@ -2,8 +2,10 @@ AUX pandas-0.24.2-skip-broken-test.patch 644 BLAKE2B 8a879cb0cf3f9b2e7c80a649fe3 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 EBUILD pandas-0.24.2.ebuild 5376 BLAKE2B 9277f27158afa9b9989d89190d04a67165d6452fb8a83964c85582b6d984726499fb2d10aa684194d5414500e04d86fd3307a0b74330d35848952d2c6c780a84 SHA512 b2577e30bb76a8b86d3ed062acf3978ff885c355428b677a0cb66cdfb80de84a81eb6126753a94b642e608b19990589518acb7aa2ce7209ff5e04bbdd05748b2 EBUILD pandas-1.0.1.ebuild 5375 BLAKE2B 558b287f3d7f754bb15fb691de2170805fee29358b50d7248953b99fd4bf83d01afec9d382015f10e549a561bd34b87225fcbab8c2fcdf035c312cc1515e584a SHA512 edcf506b007633a4676e49c29f6446dd9753a1362998a1b8ac05831b912af3a3e7effe9a1163e17d126e1565d777ddeafd3f66e9c467f150efbbe9c08dc1ed64 -EBUILD pandas-1.0.4.ebuild 5375 BLAKE2B 558b287f3d7f754bb15fb691de2170805fee29358b50d7248953b99fd4bf83d01afec9d382015f10e549a561bd34b87225fcbab8c2fcdf035c312cc1515e584a SHA512 edcf506b007633a4676e49c29f6446dd9753a1362998a1b8ac05831b912af3a3e7effe9a1163e17d126e1565d777ddeafd3f66e9c467f150efbbe9c08dc1ed64 -EBUILD pandas-9999.ebuild 5663 BLAKE2B 1b4c3889527930dd52d1a8a688b484acc524b318d6bd5b4b0c6cfceceeeb0b1b87b48476b5da8464e01c0d67cbcee93fe4b2aacb6679d1909d566bc8acc20bb5 SHA512 16ff9d6e6c0516ac468b23d4aa4b8e2b487b6404271a78b76bd8705df078d0d66e04a20dad1d65cda62d31ee5ec1965949202188c2450ebda45788896ad2bdbe +EBUILD pandas-1.0.4.ebuild 5705 BLAKE2B 02eb621b6a2e4ab3808cf2adc986fed43840ffc56526853a2ed6ea0cbb4440ea601956acc47c8066af8b9f67f533071d889e578a2a9f8de86f3c9c38d2d75d19 SHA512 929e4b1ff58cac671b7a7c7c200f4c546ef950def90b67ae14f838054d4a40b8ae0f32cf00798306f47bda70f6a55f6b9225862a892d7f1041876e2eb3693cd4 +EBUILD pandas-1.0.5.ebuild 5705 BLAKE2B 02eb621b6a2e4ab3808cf2adc986fed43840ffc56526853a2ed6ea0cbb4440ea601956acc47c8066af8b9f67f533071d889e578a2a9f8de86f3c9c38d2d75d19 SHA512 929e4b1ff58cac671b7a7c7c200f4c546ef950def90b67ae14f838054d4a40b8ae0f32cf00798306f47bda70f6a55f6b9225862a892d7f1041876e2eb3693cd4 +EBUILD pandas-9999.ebuild 5689 BLAKE2B 4bb1564c464ab25e04e6de09de01a3c60981697537b53533bf81a3bf057fe89950b3ecf87eebe55affb194e2658d2067a73b69aa0e5fd522e737466c32812374 SHA512 f2153d607503e1d6fb6a7b658ef250e95a83d0c0176b82612fc7338af3c83e8ee7441538f36c7963c33fd2b5d793462b4902d1642e6d38c8e6babaac984ae8af MISC metadata.xml 834 BLAKE2B b075b9c90c4f1be265117df2c47ace4c86dad3fec9945b5a483a11048211348ee10e433f378610de4a9b599031914b32992b9fad693b832cf0266b0f171b3e38 SHA512 85ad67a653f4ced5fb9331b778fb2906c253874cf8e522f1b67547ef8e2f49e084e84d9e055aee7e2a57c6e6e4e7f7791a4ce299fac7c74dd6448a94977e8f5e diff --git a/dev-python/pandas/pandas-1.0.4.ebuild b/dev-python/pandas/pandas-1.0.4.ebuild index c2bd75a1183a..979f4b8e0adf 100644 --- a/dev-python/pandas/pandas-1.0.4.ebuild +++ b/dev-python/pandas/pandas-1.0.4.ebuild @@ -3,7 +3,7 @@ EAPI=7 -PYTHON_COMPAT=( python3_{6,7} ) +PYTHON_COMPAT=( python3_{6..9} ) PYTHON_REQ_USE="threads(+)" VIRTUALX_REQUIRED="manual" @@ -14,6 +14,7 @@ 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}/${P/_/}.tar.gz" +S="${WORKDIR}/${P/_/}" SLOT="0" LICENSE="BSD" @@ -43,8 +44,10 @@ OPTIONAL_DEPEND=" >=dev-python/pytables-3.2.1[${PYTHON_USEDEP}] dev-python/s3fs[${PYTHON_USEDEP}] dev-python/statsmodels[${PYTHON_USEDEP}] + $(python_gen_cond_dep ' + >=dev-python/xarray-0.10.8[${PYTHON_USEDEP}] + ' python3_{6,7}) >=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[${PYTHON_USEDEP}] @@ -63,7 +66,7 @@ COMMON_DEPEND=" " DEPEND="${COMMON_DEPEND} dev-python/setuptools[${PYTHON_USEDEP}] - dev-python/cython[${PYTHON_USEDEP}] + >=dev-python/cython-0.29.20-r1[${PYTHON_USEDEP}] doc? ( ${VIRTUALX_DEPEND} app-text/pandoc @@ -106,13 +109,15 @@ RDEPEND="${COMMON_DEPEND} full-support? ( ${OPTIONAL_DEPEND} ) " -S="${WORKDIR}/${P/_/}" - python_prepare_all() { # Prevent un-needed download during build sed -e "/^ 'sphinx.ext.intersphinx',/d" \ -i doc/source/conf.py || die + # requires package installed + sed -e 's:test_register_entrypoint:_&:' \ + -i pandas/tests/plotting/test_backend.py || die + distutils-r1_python_prepare_all } @@ -126,13 +131,19 @@ python_compile_all() { fi } +src_test() { + virtx distutils-r1_src_test +} + python_test() { - pushd "${BUILD_DIR}"/lib > /dev/null + local -x LC_ALL=C.UTF-8 + pushd "${BUILD_DIR}"/lib > /dev/null || die "${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 + PYTHONPATH=. pytest pandas -v --skip-slow --skip-network \ + -m "not single" || die "Tests failed with ${EPYTHON}" + find . '(' -name .pytest_cache -o -name .hypothesis ')' \ + -exec rm -r {} + || die + popd > /dev/null || die } python_install_all() { diff --git a/dev-python/pandas/pandas-1.0.5.ebuild b/dev-python/pandas/pandas-1.0.5.ebuild new file mode 100644 index 000000000000..979f4b8e0adf --- /dev/null +++ b/dev-python/pandas/pandas-1.0.5.ebuild @@ -0,0 +1,175 @@ +# Copyright 1999-2020 Gentoo Authors +# Distributed under the terms of the GNU General Public License v2 + +EAPI=7 + +PYTHON_COMPAT=( python3_{6..9} ) +PYTHON_REQ_USE="threads(+)" + +VIRTUALX_REQUIRED="manual" +DISTUTILS_USE_SETUPTOOLS=rdepend + +inherit distutils-r1 eutils flag-o-matic virtualx + +DESCRIPTION="Powerful data structures for data analysis and statistics" +HOMEPAGE="https://pandas.pydata.org/" +SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P/_/}.tar.gz" +S="${WORKDIR}/${P/_/}" + +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}] + $(python_gen_cond_dep ' + >=dev-python/xarray-0.10.8[${PYTHON_USEDEP}] + ' python3_{6,7}) + >=dev-python/sqlalchemy-0.8.1[${PYTHON_USEDEP}] + >=dev-python/xlrd-1.0.0[${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-0.29.20-r1[${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} ) +" + +python_prepare_all() { + # Prevent un-needed download during build + sed -e "/^ 'sphinx.ext.intersphinx',/d" \ + -i doc/source/conf.py || die + + # requires package installed + sed -e 's:test_register_entrypoint:_&:' \ + -i pandas/tests/plotting/test_backend.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 ${EPYTHON} make.py html + fi +} + +src_test() { + virtx distutils-r1_src_test +} + +python_test() { + local -x LC_ALL=C.UTF-8 + pushd "${BUILD_DIR}"/lib > /dev/null || die + "${EPYTHON}" -c "import pandas; pandas.show_versions()" || die + PYTHONPATH=. pytest pandas -v --skip-slow --skip-network \ + -m "not single" || die "Tests failed with ${EPYTHON}" + find . '(' -name .pytest_cache -o -name .hypothesis ')' \ + -exec rm -r {} + || die + popd > /dev/null || die +} + +python_install_all() { + if use doc; then + dodoc -r "${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 +} diff --git a/dev-python/pandas/pandas-9999.ebuild b/dev-python/pandas/pandas-9999.ebuild index e597cacdc2c8..5b361c58bd82 100644 --- a/dev-python/pandas/pandas-9999.ebuild +++ b/dev-python/pandas/pandas-9999.ebuild @@ -1,12 +1,13 @@ # Copyright 1999-2020 Gentoo Authors # Distributed under the terms of the GNU General Public License v2 -EAPI=6 +EAPI=7 -PYTHON_COMPAT=( python3_{6,7} ) +PYTHON_COMPAT=( python3_{6..9} ) PYTHON_REQ_USE="threads(+)" VIRTUALX_REQUIRED="manual" +DISTUTILS_USE_SETUPTOOLS=rdepend inherit distutils-r1 eutils flag-o-matic git-r3 virtualx @@ -22,49 +23,50 @@ IUSE="doc full-support minimal test X" RESTRICT="!test? ( test )" RECOMMENDED_DEPEND=" - dev-python/bottleneck[${PYTHON_USEDEP}] + >=dev-python/bottleneck-1.2.1[${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[${PYTHON_USEDEP}] - dev-python/boto[${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/openpyxl[${PYTHON_USEDEP}] dev-python/xlsxwriter[${PYTHON_USEDEP}] ) >=dev-python/pytables-3.2.1[${PYTHON_USEDEP}] - dev-python/rpy[${PYTHON_USEDEP}] - dev-python/setuptools[${PYTHON_USEDEP}] - dev-python/statsmodels[${PYTHON_USEDEP}] + $(python_gen_cond_dep ' + dev-python/s3fs[${PYTHON_USEDEP}] + dev-python/statsmodels[${PYTHON_USEDEP}] + >=dev-python/xarray-0.10.8[${PYTHON_USEDEP}] + ' python3_{6,7}) >=dev-python/sqlalchemy-0.8.1[${PYTHON_USEDEP}] - dev-python/xarray[${PYTHON_USEDEP}] - dev-python/xlrd[${PYTHON_USEDEP}] + >=dev-python/xlrd-1.0.0[${PYTHON_USEDEP}] dev-python/xlwt[${PYTHON_USEDEP}] - sci-libs/scipy[${PYTHON_USEDEP}] + >=sci-libs/scipy-1.1[${PYTHON_USEDEP}] X? ( - dev-python/PyQt5[${PYTHON_USEDEP}] || ( + dev-python/PyQt5[${PYTHON_USEDEP}] x11-misc/xclip x11-misc/xsel ) ) " COMMON_DEPEND=" - >dev-python/numpy-1.7[${PYTHON_USEDEP}] - >=dev-python/python-dateutil-2.0[${PYTHON_USEDEP}] + >dev-python/numpy-1.13.1[${PYTHON_USEDEP}] + dev-python/python-dateutil[${PYTHON_USEDEP}] dev-python/pytz[${PYTHON_USEDEP}] " DEPEND="${COMMON_DEPEND} dev-python/setuptools[${PYTHON_USEDEP}] - >=dev-python/cython-0.23[${PYTHON_USEDEP}] + >=dev-python/cython-0.29.20-r1[${PYTHON_USEDEP}] doc? ( ${VIRTUALX_DEPEND} app-text/pandoc @@ -74,11 +76,12 @@ DEPEND="${COMMON_DEPEND} 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-1.2.1[${PYTHON_USEDEP}] + dev-python/sphinx[${PYTHON_USEDEP}] dev-python/xlrd[${PYTHON_USEDEP}] dev-python/xlwt[${PYTHON_USEDEP}] sci-libs/scipy[${PYTHON_USEDEP}] @@ -89,8 +92,11 @@ DEPEND="${COMMON_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 @@ -99,8 +105,6 @@ DEPEND="${COMMON_DEPEND} # dev-python/statsmodels invokes a circular dep # hence rm from doc? ( ), again RDEPEND="${COMMON_DEPEND} - ! /dev/null + local -x LC_ALL=C.UTF-8 + pushd "${BUILD_DIR}"/lib > /dev/null || die "${EPYTHON}" -c "import pandas; pandas.show_versions()" || die - PYTHONPATH=. MPLCONFIGDIR=. \ - virtx nosetests --verbosity=3 -A "${test_pandas}" pandas - popd > /dev/null + PYTHONPATH=. pytest pandas -v --skip-slow --skip-network \ + -m "not single" || die "Tests failed with ${EPYTHON}" + find . '(' -name .pytest_cache -o -name .hypothesis ')' \ + -exec rm -r {} + || die + popd > /dev/null || die } python_install_all() { @@ -153,8 +162,7 @@ pkg_postinst() { 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 "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 -- cgit v1.2.3