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authorV3n3RiX <venerix@koprulu.sector>2023-04-04 17:23:10 +0100
committerV3n3RiX <venerix@koprulu.sector>2023-04-04 17:23:10 +0100
commit0f3400581b3370a12b1581c6394b74327181f3e8 (patch)
tree704ac1cd7f101a7f7d946426afaf8db99b88df77 /dev-python/pandas
parent7f6382ebb44b75c53021d4c4ab77d6b34aed21ac (diff)
gentoo auto-resync : 04:04:2023 - 17:23:09
Diffstat (limited to 'dev-python/pandas')
-rw-r--r--dev-python/pandas/Manifest2
-rw-r--r--dev-python/pandas/pandas-2.0.0.ebuild218
2 files changed, 220 insertions, 0 deletions
diff --git a/dev-python/pandas/Manifest b/dev-python/pandas/Manifest
index d90d907b5435..7c5b7bb44959 100644
--- a/dev-python/pandas/Manifest
+++ b/dev-python/pandas/Manifest
@@ -1,7 +1,9 @@
DIST pandas-1.5.1.tar.gz 5199286 BLAKE2B 17d98870f3397d7a9289a18708021a614b1d456e2ea99dae8927727aabb8aab73bd31f25c3035947f8f4c38404e7d971bf999500b300307b19a2cf6029763d0e SHA512 e5f25f21f17f36c6488f14fbfa391beb9f1989652de01cb8346d2826dead9331fea27295ee1e6f42d0875f2f1a91fcd23d606edd339432589bca5ba8d89e5ecd
DIST pandas-1.5.2.tar.gz 5201551 BLAKE2B c6a8156a6c116f1b576837882e4ad4ada6cf21bf72acd673d74bdb1dda4f97f88a5e6422e8f8ad2fbbb85a334cd68cb0abae316d5826c54a85baf8b325ab6183 SHA512 1e6b653ff418c839895946123f90fffcfafd57f24dfbd6bae4e9988893b7d57d6276ed101112c8f9730af53f600d006fe3a53bbed597c0376856f2cfc90c1f05
DIST pandas-1.5.3.tar.gz 5203060 BLAKE2B 846a6caa8ead6a2556303494f92e2091582d8fcde2aee424fa172c4e29c189a7305261f6a931a20249e969668646ff4a3d605ee1b57785fa3677dfbd137b3602 SHA512 3c725c33dcaf78b952d2eb966ced73ff0073162a01d3cbcb722d58d8f12a82163e6e684c27284c735bdfb32dea263b960f70f6a80ff93e6b316316d40835ae35
+DIST pandas-2.0.0.tar.gz 5271334 BLAKE2B 80782f407cb93866ca445518f45ea36e081b789d72ef597f6501746c41c1bb1000f183a7352e04194401d59c523ab796373445cddd42166c19f9d8cac522f426 SHA512 6a960275e03b1171cde1085cc0a853273c35377809eddc75c82bb6deb06c3ed499265efe88012771c86f86872a6f6b2d3e218bcb209259dcfc46781367cd2f51
EBUILD pandas-1.5.1.ebuild 6844 BLAKE2B 16498c2364a23c4d1d2448f125f8c3bcd91dbd154b80df152eb2f32c1527703ea99839f87a793d9ea13f4b2fb4485402511f58680f479812f625c6629ef79931 SHA512 5ca978143b8d143bc68defb90729fa3d9e5783abac482ab5d39ec0012a93ff284ce64327720f6fafd5009eb8a21dddbc852b0a00c0fae8f5ca94eb13e7ea92f4
EBUILD pandas-1.5.2.ebuild 6845 BLAKE2B bbcc7c01e9f8834716aea39e71fd184582dbb26e21a739c8ecb3413b7663a846d1e534ce869240612bdf4c744898886e252c1ac86fd460c2c328253f342eed3e SHA512 e52095af9dfe7aa963a3807dbd61590beff181f1dfa4e99a6725504c401d1c548c644ca093ee1d95603171ae4838c8f320356ae7fd09080613da01ae910d8997
EBUILD pandas-1.5.3.ebuild 7130 BLAKE2B d577c9b8e0989b43b7f9ad488c675362cbb24dd88a1cc0576c90711340c6c8fc0971e2f91e359292ce477d4de18af7a44ee9e3394de1f96d6aa6fda30c980c13 SHA512 ac9514032af4f73655358e934ecc620f690fe619d140e2fd01007de08380000f31f827af7b66a2794e3d9c76e8060419d930efe6b4255b621ca6aca7ce8d5b42
+EBUILD pandas-2.0.0.ebuild 7481 BLAKE2B 6b2855c6ab71fc8fa46b9cb8c00752219f22341d79d64fa6005b84d4167584ccf520c08e1d778b5573951a0b31cbb08f7c20af35e6437cdccab2f3ec575d99a2 SHA512 e770b90e8ff0178b519ee314aff398c26dbf2d841074501ce4b5e01f3cf6cf470bd14c6d5c2e18d8b6209375ae46b67ab3c65796787d0a507a3a11143a3b1665
MISC metadata.xml 920 BLAKE2B d6bd854acdd851d578038657d91adaedf4f220dbdc5905ebba5e35e74437c6d5bc2384061f7796a6f359aa128c526485635debfd0e1a9646d09daed740167c87 SHA512 dcd949e89cae9df918acb3cf8be5ad8c396ee5e646d2179aa2b646fafa15ffc11e9ccf853df8d7fdcc787f88ce7063639d8d87715aaba943774edc8ad98b540a
diff --git a/dev-python/pandas/pandas-2.0.0.ebuild b/dev-python/pandas/pandas-2.0.0.ebuild
new file mode 100644
index 000000000000..62419df81826
--- /dev/null
+++ b/dev-python/pandas/pandas-2.0.0.ebuild
@@ -0,0 +1,218 @@
+# Copyright 1999-2023 Gentoo Authors
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=8
+
+DISTUTILS_USE_PEP517=setuptools
+PYTHON_COMPAT=( python3_{9..11} )
+PYTHON_REQ_USE="threads(+)"
+
+VIRTUALX_REQUIRED="manual"
+
+inherit distutils-r1 multiprocessing optfeature virtualx
+
+DESCRIPTION="Powerful data structures for data analysis and statistics"
+HOMEPAGE="
+ https://pandas.pydata.org/
+ https://github.com/pandas-dev/pandas/
+ https://pypi.org/project/pandas/
+"
+SRC_URI="
+ https://github.com/pandas-dev/pandas/releases/download/v${PV}/${P}.tar.gz
+"
+S=${WORKDIR}/${P/_/}
+
+SLOT="0"
+LICENSE="BSD"
+KEYWORDS="~amd64 ~arm64 ~ppc64 ~riscv ~x86"
+IUSE="doc full-support minimal test X"
+RESTRICT="!test? ( test )"
+
+RECOMMENDED_DEPEND="
+ >=dev-python/bottleneck-1.3.2[${PYTHON_USEDEP}]
+ >=dev-python/numexpr-2.7.1[${PYTHON_USEDEP}]
+"
+
+# TODO: add pandas-gbq to the tree
+# TODO: Re-add dev-python/statsmodel[python3_11] dep once it supports python3_11
+# https://github.com/statsmodels/statsmodels/issues/8287
+OPTIONAL_DEPEND="
+ >=dev-python/beautifulsoup4-4.9.3[${PYTHON_USEDEP}]
+ dev-python/blosc[${PYTHON_USEDEP}]
+ >=dev-python/html5lib-1.1[${PYTHON_USEDEP}]
+ >=dev-python/jinja-3.0.0[${PYTHON_USEDEP}]
+ >=dev-python/lxml-4.6.3[${PYTHON_USEDEP}]
+ >=dev-python/matplotlib-3.6.1[${PYTHON_USEDEP}]
+ >=dev-python/openpyxl-3.0.7[${PYTHON_USEDEP}]
+ >=dev-python/pytables-3.6.1[${PYTHON_USEDEP}]
+ >=dev-python/sqlalchemy-1.4.16[${PYTHON_USEDEP}]
+ >=dev-python/tabulate-0.8.9[${PYTHON_USEDEP}]
+ >=dev-python/xarray-0.21.0[${PYTHON_USEDEP}]
+ >=dev-python/xlrd-2.0.1[${PYTHON_USEDEP}]
+ >=dev-python/xlsxwriter-1.4.3[${PYTHON_USEDEP}]
+ >=dev-python/xlwt-1.3.0[${PYTHON_USEDEP}]
+ !hppa? (
+ $(python_gen_cond_dep '
+ dev-python/statsmodels[${PYTHON_USEDEP}]
+ ' python3_{8..10} )
+ >=dev-python/scipy-1.7.1[${PYTHON_USEDEP}]
+ )
+ X? (
+ || (
+ >=dev-python/PyQt5-5.15.1[${PYTHON_USEDEP}]
+ >=dev-python/QtPy-2.2.0[${PYTHON_USEDEP}]
+ x11-misc/xclip
+ x11-misc/xsel
+ )
+ )
+"
+COMMON_DEPEND="
+ >=dev-python/numpy-1.23.2[${PYTHON_USEDEP}]
+ >=dev-python/python-dateutil-2.8.2[${PYTHON_USEDEP}]
+ >=dev-python/pytz-2020.1[${PYTHON_USEDEP}]
+"
+BDEPEND="
+ ${COMMON_DEPEND}
+ >=dev-python/cython-0.29.33[${PYTHON_USEDEP}]
+ >=dev-python/versioneer-0.28[${PYTHON_USEDEP}]
+ doc? (
+ ${VIRTUALX_DEPEND}
+ app-text/pandoc
+ >=dev-python/beautifulsoup4-4.9.3[${PYTHON_USEDEP}]
+ >=dev-python/html5lib-1.1[${PYTHON_USEDEP}]
+ dev-python/ipython[${PYTHON_USEDEP}]
+ >=dev-python/lxml-4.6.3[${PYTHON_USEDEP}]
+ >=dev-python/matplotlib-3.6.1[${PYTHON_USEDEP}]
+ dev-python/nbsphinx[${PYTHON_USEDEP}]
+ >=dev-python/numpydoc-0.9.1[${PYTHON_USEDEP}]
+ >=dev-python/openpyxl-3.0.7[${PYTHON_USEDEP}]
+ >=dev-python/pytables-3.6.1[${PYTHON_USEDEP}]
+ dev-python/pytz[${PYTHON_USEDEP}]
+ dev-python/rpy[${PYTHON_USEDEP}]
+ dev-python/sphinx[${PYTHON_USEDEP}]
+ >=dev-python/xlrd-2.0.1[${PYTHON_USEDEP}]
+ dev-python/xlwt[${PYTHON_USEDEP}]
+ dev-python/scipy[${PYTHON_USEDEP}]
+ x11-misc/xclip
+ )
+ test? (
+ ${VIRTUALX_DEPEND}
+ ${RECOMMENDED_DEPEND}
+ ${OPTIONAL_DEPEND}
+ >=dev-python/beautifulsoup4-4.9.3[${PYTHON_USEDEP}]
+ >=dev-python/hypothesis-6.34.2[${PYTHON_USEDEP}]
+ >=dev-python/openpyxl-3.0.7[${PYTHON_USEDEP}]
+ >=dev-python/pymysql-1.0.2[${PYTHON_USEDEP}]
+ >=dev-python/pytest-asyncio-0.17.0[${PYTHON_USEDEP}]
+ >=dev-python/pytest-xdist-2.2.0[${PYTHON_USEDEP}]
+ >=dev-python/psycopg-2.8.6:2[${PYTHON_USEDEP}]
+ >=dev-python/xlsxwriter-1.4.3[${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
+
+ # unnecessary with system tzdata
+ sed -i -e '/tzdata/d' pyproject.toml || die
+
+ distutils-r1_python_prepare_all
+}
+
+python_compile() {
+ distutils-r1_python_compile -j1
+}
+
+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 ${EPYTHON} make.py html
+ fi
+}
+
+src_test() {
+ virtx distutils-r1_src_test
+}
+
+python_test() {
+ local EPYTEST_DESELECT=(
+ # test for rounding errors, fails if we have better precision
+ # e.g. on amd64 with FMA or on arm64
+ # https://github.com/pandas-dev/pandas/issues/38921
+ pandas/tests/window/test_rolling.py::test_rolling_var_numerical_issues
+
+ # TODO
+ pandas/tests/api/test_api.py::TestTesting::test_util_testing_deprecated
+ pandas/tests/api/test_api.py::TestTesting::test_util_testing_deprecated_direct
+ pandas/tests/io/test_clipboard.py::TestClipboard::test_raw_roundtrip
+ pandas/tests/copy_view/test_internals.py::test_switch_options
+
+ # TODO: xdist?
+ pandas/tests/test_expressions.py::TestExpressions::test_run_binary
+
+ # TODO: these require a running db server
+ pandas/tests/io/test_sql.py::TestMySQLAlchemy
+ pandas/tests/io/test_sql.py::TestMySQLAlchemyConn
+ pandas/tests/io/test_sql.py::TestPostgreSQLAlchemy
+ pandas/tests/io/test_sql.py::TestPostgreSQLAlchemyConn
+
+ # OOMs
+ pandas/tests/io/parser/test_c_parser_only.py::test_bytes_exceed_2gb
+
+ # xarray version incompatibility
+ pandas/tests/test_downstream.py::test_xarray_cftimeindex_nearest
+
+ # warning from dask
+ pandas/tests/test_downstream.py::test_construct_dask_float_array_int_dtype_match_ndarray
+
+ # TODO: mpl incompatibility?
+ pandas/tests/plotting/frame/test_frame.py::TestDataFramePlots::test_plain_axes
+ )
+
+ local -x LC_ALL=C.UTF-8
+ cd "${BUILD_DIR}/install$(python_get_sitedir)" || die
+ "${EPYTHON}" -c "import pandas; pandas.show_versions()" || die
+ epytest pandas --skip-slow --skip-network -m "not single" \
+ -n "$(makeopts_jobs)" || die "Tests failed with ${EPYTHON}"
+}
+
+python_install_all() {
+ if use doc; then
+ dodoc -r "${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/beautifulsoup4 dev-python/html5lib dev-python/lxml
+ optfeature "for msgpack compression using blosc" dev-python/blosc
+ 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-3.0.7" dev-python/xlsxwriter dev-python/xlrd dev-python/xlwt
+ optfeature "necessary for HDF5-based storage" ">=dev-python/pytables-3.6.1"
+ 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-1.4.16"
+ optfeature "miscellaneous statistical functions" dev-python/scipy
+ optfeature "necessary to use pandas.io.clipboard.read_clipboard support" dev-python/PyQt5 dev-python/QtPy dev-python/pygtk x11-misc/xclip x11-misc/xsel
+}