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dev-python/pandas: Bump to 1.5.0
Signed-off-by: Michał Górny <mgorny@gentoo.org>
This commit is contained in:
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DIST pandas-1.4.3.tar.gz 4941520 BLAKE2B b134f7c04c2478b7105214ed62e9adcaed98ffb4179a785f7887850d66702bf0f185d60a3da6de6226742529008bac614b494453dca929e477960ff3b43ef93d SHA512 d8d7575ce2b813361641d4e438844e03ed79179f5dcc56f2e4923bfeceab6f825a9bcc419e9492ee5e0272ea7c9bb9eeab6a0e242a880a87999df2a492436d8e
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DIST pandas-1.4.4.tar.gz 4949620 BLAKE2B 7ce236ae28ed6c6857a3acf6936aad2b1dc53a048986809d8dedbb9595dd2234bacbe114b74d8a171a6b31254372ea262566b134e7b5b24d5d4666938c7e6154 SHA512 a12e92dd751ed2342d9291724833732cdadbc9791e59533b9efded570b9893bacbe2f10e6bc70d673adb9356dcb0ae3d64d8a1dfe6ae8a3c70e474556ded4d91
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DIST pandas-1.5.0.tar.gz 5191537 BLAKE2B c7dec1d0197e6ac860667177f0f255bb327dbd48fe4501280d578b93f4496e61c0847dc478effeb8c5729d7a9d3e8a643c01db095a9843d6d211a9420f94d42c SHA512 8d340da1e0dff9b64c8993359b35ddcfc796fa15fee1bf1a27ea5a12e33f8b20d45bfac0ff9275b16ff0d4f7855a73962629e06c62bc08ca5e21b4ef1ea29ec2
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201
dev-python/pandas/pandas-1.5.0.ebuild
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201
dev-python/pandas/pandas-1.5.0.ebuild
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# Copyright 1999-2022 Gentoo Authors
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# Distributed under the terms of the GNU General Public License v2
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EAPI=8
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DISTUTILS_USE_PEP517=setuptools
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PYTHON_COMPAT=( python3_{8..10} )
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PYTHON_REQ_USE="threads(+)"
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VIRTUALX_REQUIRED="manual"
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inherit distutils-r1 multiprocessing optfeature virtualx
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DESCRIPTION="Powerful data structures for data analysis and statistics"
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HOMEPAGE="https://pandas.pydata.org/
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https://github.com/pandas-dev/pandas/"
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SRC_URI="
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https://github.com/pandas-dev/pandas/releases/download/v${PV}/${P}.tar.gz
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"
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S="${WORKDIR}/${P/_/}"
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SLOT="0"
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LICENSE="BSD"
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KEYWORDS="~amd64 ~arm ~arm64 ~hppa ~ia64 ~ppc ~ppc64 ~riscv ~s390 ~sparc ~x86"
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IUSE="doc full-support minimal test X"
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RESTRICT="!test? ( test )"
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RECOMMENDED_DEPEND="
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>=dev-python/bottleneck-1.2.1[${PYTHON_USEDEP}]
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>=dev-python/numexpr-2.7.0[${PYTHON_USEDEP}]
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"
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# TODO: add pandas-gbq to the tree
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OPTIONAL_DEPEND="
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dev-python/beautifulsoup4[${PYTHON_USEDEP}]
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dev-python/blosc[${PYTHON_USEDEP}]
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|| (
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dev-python/html5lib[${PYTHON_USEDEP}]
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dev-python/lxml[${PYTHON_USEDEP}]
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)
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dev-python/jinja[${PYTHON_USEDEP}]
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dev-python/matplotlib[${PYTHON_USEDEP}]
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|| (
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dev-python/openpyxl[${PYTHON_USEDEP}]
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dev-python/xlsxwriter[${PYTHON_USEDEP}]
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)
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>=dev-python/pytables-3.2.1[${PYTHON_USEDEP}]
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>=dev-python/xarray-0.12.3[${PYTHON_USEDEP}]
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>=dev-python/sqlalchemy-1.3.0[${PYTHON_USEDEP}]
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>=dev-python/xlrd-1.2.0[${PYTHON_USEDEP}]
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>=dev-python/xlwt-1.3.0[${PYTHON_USEDEP}]
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!hppa? (
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dev-python/statsmodels[${PYTHON_USEDEP}]
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>=dev-python/scipy-1.1[${PYTHON_USEDEP}]
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)
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X? (
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|| (
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dev-python/PyQt5[${PYTHON_USEDEP}]
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x11-misc/xclip
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x11-misc/xsel
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)
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)
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"
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COMMON_DEPEND="
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>=dev-python/numpy-1.21.0[${PYTHON_USEDEP}]
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>=dev-python/python-dateutil-2.8.1-r3[${PYTHON_USEDEP}]
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>=dev-python/pytz-2020.1[${PYTHON_USEDEP}]
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"
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DEPEND="
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${COMMON_DEPEND}
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>=dev-python/cython-0.29.32[${PYTHON_USEDEP}]
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doc? (
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${VIRTUALX_DEPEND}
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app-text/pandoc
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dev-python/beautifulsoup4[${PYTHON_USEDEP}]
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dev-python/html5lib[${PYTHON_USEDEP}]
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dev-python/ipython[${PYTHON_USEDEP}]
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dev-python/lxml[${PYTHON_USEDEP}]
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dev-python/matplotlib[${PYTHON_USEDEP}]
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dev-python/nbsphinx[${PYTHON_USEDEP}]
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>=dev-python/numpydoc-0.9.1[${PYTHON_USEDEP}]
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>=dev-python/openpyxl-1.6.1[${PYTHON_USEDEP}]
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>=dev-python/pytables-3.0.0[${PYTHON_USEDEP}]
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dev-python/pytz[${PYTHON_USEDEP}]
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dev-python/rpy[${PYTHON_USEDEP}]
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dev-python/sphinx[${PYTHON_USEDEP}]
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dev-python/xlrd[${PYTHON_USEDEP}]
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dev-python/xlwt[${PYTHON_USEDEP}]
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dev-python/scipy[${PYTHON_USEDEP}]
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x11-misc/xclip
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)
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test? (
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${VIRTUALX_DEPEND}
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${RECOMMENDED_DEPEND}
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${OPTIONAL_DEPEND}
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dev-python/beautifulsoup4[${PYTHON_USEDEP}]
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>=dev-python/hypothesis-5.5.3[${PYTHON_USEDEP}]
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dev-python/openpyxl[${PYTHON_USEDEP}]
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dev-python/pymysql[${PYTHON_USEDEP}]
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>=dev-python/pytest-6[${PYTHON_USEDEP}]
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>=dev-python/pytest-xdist-1.31[${PYTHON_USEDEP}]
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dev-python/psycopg:2[${PYTHON_USEDEP}]
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dev-python/xlsxwriter[${PYTHON_USEDEP}]
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x11-misc/xclip
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x11-misc/xsel
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)
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"
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# dev-python/statsmodels invokes a circular dep
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# hence rm from doc? ( ), again
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RDEPEND="
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${COMMON_DEPEND}
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!minimal? ( ${RECOMMENDED_DEPEND} )
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full-support? ( ${OPTIONAL_DEPEND} )
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"
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python_prepare_all() {
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# Prevent un-needed download during build
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sed -e "/^ 'sphinx.ext.intersphinx',/d" \
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-i doc/source/conf.py || die
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# requires package installed
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sed -e '/extra_compile_args =/s:"-Werror"::' \
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-i setup.py || die
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distutils-r1_python_prepare_all
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}
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python_compile() {
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distutils-r1_python_compile -j1
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}
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python_compile_all() {
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# To build docs the need be located in $BUILD_DIR,
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# else PYTHONPATH points to unusable modules.
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if use doc; then
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cd "${BUILD_DIR}"/lib || die
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cp -ar "${S}"/doc . && cd doc || die
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LANG=C PYTHONPATH=. virtx ${EPYTHON} make.py html
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fi
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}
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src_test() {
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virtx distutils-r1_src_test
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}
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python_test() {
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local EPYTEST_DESELECT=(
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# test for rounding errors, fails if we have better precision
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# e.g. on amd64 with FMA or on arm64
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# https://github.com/pandas-dev/pandas/issues/38921
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pandas/tests/window/test_rolling.py::test_rolling_var_numerical_issues
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# TODO
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pandas/tests/api/test_api.py::TestTesting::test_util_testing_deprecated
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pandas/tests/api/test_api.py::TestTesting::test_util_testing_deprecated_direct
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pandas/tests/io/test_clipboard.py::TestClipboard::test_raw_roundtrip
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# TODO: xdist?
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pandas/tests/test_expressions.py::TestExpressions::test_run_binary
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# TODO: these require a running db server
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pandas/tests/io/test_sql.py::TestMySQLAlchemy
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pandas/tests/io/test_sql.py::TestMySQLAlchemyConn
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pandas/tests/io/test_sql.py::TestPostgreSQLAlchemy
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pandas/tests/io/test_sql.py::TestPostgreSQLAlchemyConn
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)
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local -x LC_ALL=C.UTF-8
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cd "${BUILD_DIR}/install$(python_get_sitedir)" || die
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"${EPYTHON}" -c "import pandas; pandas.show_versions()" || die
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epytest pandas --skip-slow --skip-network -m "not single" \
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-n "$(makeopts_jobs "${MAKEOPTS}" "$(get_nproc)")" ||
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die "Tests failed with ${EPYTHON}"
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}
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python_install_all() {
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if use doc; then
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dodoc -r "${BUILD_DIR}"/lib/doc/build/html
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einfo "An initial build of docs is absent of references to statsmodels"
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einfo "due to circular dependency. To have them included, emerge"
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einfo "statsmodels next and re-emerge pandas with USE doc"
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fi
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distutils-r1_python_install_all
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}
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pkg_postinst() {
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optfeature "accelerating certain types of NaN evaluations, using specialized cython routines to achieve large speedups." dev-python/bottleneck
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optfeature "accelerating certain numerical operations, using multiple cores as well as smart chunking and caching to achieve large speedups" ">=dev-python/numexpr-2.1"
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optfeature "needed for pandas.io.html.read_html" dev-python/beautifulsoup4 dev-python/html5lib dev-python/lxml
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optfeature "for msgpack compression using blosc" dev-python/blosc
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optfeature "Template engine for conditional HTML formatting" dev-python/jinja
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optfeature "Plotting support" dev-python/matplotlib
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optfeature "Needed for Excel I/O" ">=dev-python/openpyxl-3.0.0" dev-python/xlsxwriter dev-python/xlrd dev-python/xlwt
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optfeature "necessary for HDF5-based storage" ">=dev-python/pytables-3.2.1"
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optfeature "R I/O support" dev-python/rpy
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optfeature "Needed for parts of pandas.stats" dev-python/statsmodels
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optfeature "SQL database support" ">=dev-python/sqlalchemy-1.3.0"
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optfeature "miscellaneous statistical functions" dev-python/scipy
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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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}
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