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authorV3n3RiX <venerix@koprulu.sector>2023-12-09 11:11:11 +0000
committerV3n3RiX <venerix@koprulu.sector>2023-12-09 11:11:11 +0000
commit90a73bb153519a9eac2a23eb9029b99b759e7892 (patch)
tree6d01f49a1e594c9324241c03aac67a635f828834 /dev-python/pandas
parentf6f5cf314dddfbfe0f8c848dc9e07436b032562c (diff)
gentoo auto-resync : 09:12:2023 - 11:11:11
Diffstat (limited to 'dev-python/pandas')
-rw-r--r--dev-python/pandas/Manifest3
-rw-r--r--dev-python/pandas/files/pandas-2.1.4-khash-dep.patch45
-rw-r--r--dev-python/pandas/pandas-2.1.4.ebuild221
3 files changed, 269 insertions, 0 deletions
diff --git a/dev-python/pandas/Manifest b/dev-python/pandas/Manifest
index 227b8a963eb4..414e0f0a79e9 100644
--- a/dev-python/pandas/Manifest
+++ b/dev-python/pandas/Manifest
@@ -1,11 +1,14 @@
AUX pandas-2.1.1-which.patch 393 BLAKE2B d5a988d64efbe28a1d2e533eae2d2ac88a31a08697a112682af1fce07429fff7e7846fe378d6ab487cf8aebf30b357c022763f5fc578e6b90c7ced1ea1af97f1 SHA512 3e7895561aab74e3b3afbad46f371f97fa4ae7b7f8158961896114a9c62e9a4544e81f9cdce983029809a95cc23350bb9698d8b4acc92f34e3a5b844b7811edb
+AUX pandas-2.1.4-khash-dep.patch 1970 BLAKE2B fcd7b7426156de6061831a4a88c29a129cd2e860e8df33b44c4824a0dad448f088b0636cf5d9cfbc12894855580be990a30574e3a2374167240bf69239075dd5 SHA512 7a3a4bb61f4578b9a9b32134d5ff4c2772a387fcc77ec3c71a62bf9b33874c51a15e4f9097e922a1ac669cc150acd2d2f6ab086f759b838694105d5fd17a9a31
DIST pandas-1.5.3.tar.gz 5203060 BLAKE2B 846a6caa8ead6a2556303494f92e2091582d8fcde2aee424fa172c4e29c189a7305261f6a931a20249e969668646ff4a3d605ee1b57785fa3677dfbd137b3602 SHA512 3c725c33dcaf78b952d2eb966ced73ff0073162a01d3cbcb722d58d8f12a82163e6e684c27284c735bdfb32dea263b960f70f6a80ff93e6b316316d40835ae35
DIST pandas-2.1.1.tar.gz 4266250 BLAKE2B 9d8256300db65b606e34b16d7f3884b602794fe3c14d66115056db4a4658603fbe7a7a3082dfc781760517d643d6e21a6d4d43441131ec6aed5965b6fa8a0e9c SHA512 346e13e06805948c569712028c9b8d756c67ca2fab040999a51a4e759206d50d8ee25be38ac3c7cb3d2e692a02d85c1ec198841311fe43cb04b64f2741627a4e
DIST pandas-2.1.2.tar.gz 4271419 BLAKE2B 2f22035c9b7d6a0403b28ebe506550328e096f0ed87984dba28d2f49950393ed8a5a3c0c71c5391385d9f5361319431d5de3736f7381eb7670045415b05137a7 SHA512 dad04f1fcc5a59485c34ebfed0698fd47ad9eeffafaddf91642c084f4ffde8a55ce543f9dadb6e7a5066b1809489961d34fe3fe8860f64f9bd2d90b445d92063
DIST pandas-2.1.3.tar.gz 4272855 BLAKE2B 73717926bb0af44acb9a2d12964df7bf70affd61ca19468b3af4376f9c8084d3612895a9ac5117be97658fd5b7ff0275cd7b2c6f1b9b0e00afb951fd50a1f103 SHA512 71012b47b76444e19507e444c8ef88497e3b286856690216886cbb67ad70786c2f5014a7cf6c89f8378769560109fb5593a8c82c21a034a1059769e15c843b92
+DIST pandas-2.1.4.tar.gz 4274800 BLAKE2B 71cd374964d5e751a9ea0b29cb341d7de521de8de3bbe0963fc821eb6fa2babf2a5cb87c0f49fab88fd451bd331d83fd216f199c75876d7c1ea367ba53c20178 SHA512 de02944829ea4df6a3913788c2ae30683504d70a1cef5789c927245dab8700981edd50de18af3619d30ac97f4658fce67f6c7637acf496bd464ad3a4109bfd1c
EBUILD pandas-1.5.3.ebuild 7208 BLAKE2B fff882d8fa0b073fc458773aff5c2b722dd71da4169f9f9d2976ba45808356203b91d89964a23175cec16399455ec746dce28dd009d2bf502f7901c475f37575 SHA512 c4856c03c7239d3a9abecb78230c329a93d193f84ffeb5373b147c761c131d447d1bd7633f3fc8fb94c79d7dca93f9c3aa77b8ff24a0b875b1acf8a661c993d5
EBUILD pandas-2.1.1-r1.ebuild 8997 BLAKE2B 83b58674a2d1438f6f519768591307ba02a5fa36ad217cefec514cd83e0a8691cd52ffab68cb31dd359129edac75f3e3a0d1c8727ede6b655e145e9448343780 SHA512 06d20f7de75e0d71c83fab958a56f1f41eb9e22d6356b1807f04ae394608f502452949e61ea78bc924d0f24fb8160c5b9ee46969e2b0f0d182997c6e38699549
EBUILD pandas-2.1.1.ebuild 8640 BLAKE2B bbe6beafa3ad8f31bd18c9bc81974b881bf73c5c998d7c971cf4f8e97966c82d090b393eddc27ffc2d994fdab17eb7406a0752e5ff5ffb7601a6d92841ed8960 SHA512 2b900d7af96cd1842be557df89f44bf99e9e82e141a5b269e54027a1a588c53d91e2c13c6cb0fbaf4c36204078114ce497cd66e97445385eae5bd86daef10034
EBUILD pandas-2.1.2.ebuild 9010 BLAKE2B 97e206b691fd170cc2bff25fdc752da4b55ec3f881f54a2dff7db60484b2968bcbe4a9277bf000b6d30716e6afe8a544a067fb3ff099e47788f964b1e9232568 SHA512 a6718cefaec96d59e4d0d6b7ed23d2645074237a7a43c5bcd42058467dfb48ef4521ef00a6e5724b31f3ad31cf9b5851b099ed4961d27277f88a52be85ffe6fc
EBUILD pandas-2.1.3.ebuild 8969 BLAKE2B ce3e49dcd527352a8bfcc6390d38d69857eebb7627561519d17a754cef5f275164849e2528fe9f662de6c45f5d736821d62cfb25cd62e68f07e35c28dce418b1 SHA512 2f31371bbcde6c6aad89abfb0c40c90853663468c974ed0e5de23d877a051bd713980ddf19133ef5336729a66ea01491d9c594b03a810122e66ae0291b03c21e
+EBUILD pandas-2.1.4.ebuild 9189 BLAKE2B 4a3f9326950bfe522c5fe05219c315736004077cccfb6b68d8b0e7dc0ff98c19bc4e83af3563ffc1fd08e98c71616569e55ab7363668f34b418310d8c5ce231c SHA512 d0e7458f0fb7435d1ea017d6c9e87a8e2c1b19623006c8769dca626039e6d45ae7edd635ef9d89bb56f29a774a838a7ebf10bd77f9e544619fad2f978246cd03
MISC metadata.xml 920 BLAKE2B d6bd854acdd851d578038657d91adaedf4f220dbdc5905ebba5e35e74437c6d5bc2384061f7796a6f359aa128c526485635debfd0e1a9646d09daed740167c87 SHA512 dcd949e89cae9df918acb3cf8be5ad8c396ee5e646d2179aa2b646fafa15ffc11e9ccf853df8d7fdcc787f88ce7063639d8d87715aaba943774edc8ad98b540a
diff --git a/dev-python/pandas/files/pandas-2.1.4-khash-dep.patch b/dev-python/pandas/files/pandas-2.1.4-khash-dep.patch
new file mode 100644
index 000000000000..f8bbff5fed37
--- /dev/null
+++ b/dev-python/pandas/files/pandas-2.1.4-khash-dep.patch
@@ -0,0 +1,45 @@
+From e31a6865958442435ae9b31f312129c44f66eb5e Mon Sep 17 00:00:00 2001
+From: Ville Aikas <11279988+vaikas@users.noreply.github.com>
+Date: Mon, 6 Nov 2023 09:24:40 -0800
+Subject: [PATCH] Add missing dependencies for: _khash_primitive_helper
+ (#55795)
+
+* Add missing dependencies for: _khash_primitive_helper
+
+Signed-off-by: Ville Aikas <vaikas@chainguard.dev>
+
+* source->dep change.
+
+Signed-off-by: Ville Aikas <vaikas@chainguard.dev>
+
+* Remove dep from arrays.
+
+Signed-off-by: Ville Aikas <vaikas@chainguard.dev>
+
+---------
+
+Signed-off-by: Ville Aikas <vaikas@chainguard.dev>
+---
+ pandas/_libs/meson.build | 6 +++---
+ 1 file changed, 3 insertions(+), 3 deletions(-)
+
+diff --git a/pandas/_libs/meson.build b/pandas/_libs/meson.build
+index b4662d6bf8dd2..c27386743c6e9 100644
+--- a/pandas/_libs/meson.build
++++ b/pandas/_libs/meson.build
+@@ -61,12 +61,12 @@ subdir('tslibs')
+ libs_sources = {
+ # Dict of extension name -> dict of {sources, include_dirs, and deps}
+ # numpy include dir is implicitly included
+- 'algos': {'sources': ['algos.pyx', _algos_common_helper, _algos_take_helper, _khash_primitive_helper]},
++ 'algos': {'sources': ['algos.pyx', _algos_common_helper, _algos_take_helper], 'deps': _khash_primitive_helper_dep},
+ 'arrays': {'sources': ['arrays.pyx']},
+ 'groupby': {'sources': ['groupby.pyx']},
+ 'hashing': {'sources': ['hashing.pyx']},
+- 'hashtable': {'sources': ['hashtable.pyx', _khash_primitive_helper, _hashtable_class_helper, _hashtable_func_helper]},
+- 'index': {'sources': ['index.pyx', _index_class_helper]},
++ 'hashtable': {'sources': ['hashtable.pyx', _hashtable_class_helper, _hashtable_func_helper], 'deps': _khash_primitive_helper_dep},
++ 'index': {'sources': ['index.pyx', _index_class_helper], 'deps': _khash_primitive_helper_dep},
+ 'indexing': {'sources': ['indexing.pyx']},
+ 'internals': {'sources': ['internals.pyx']},
+ 'interval': {'sources': ['interval.pyx', _intervaltree_helper],
diff --git a/dev-python/pandas/pandas-2.1.4.ebuild b/dev-python/pandas/pandas-2.1.4.ebuild
new file mode 100644
index 000000000000..f4a73c081111
--- /dev/null
+++ b/dev-python/pandas/pandas-2.1.4.ebuild
@@ -0,0 +1,221 @@
+# Copyright 1999-2023 Gentoo Authors
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=8
+
+DISTUTILS_EXT=1
+DISTUTILS_USE_PEP517=meson-python
+PYTHON_COMPAT=( python3_{10..12} )
+PYTHON_REQ_USE="threads(+)"
+
+VIRTUALX_REQUIRED="manual"
+
+inherit distutils-r1 optfeature pypi 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/
+"
+
+SLOT="0"
+LICENSE="BSD"
+KEYWORDS="~amd64 ~arm ~arm64 ~hppa ~ppc ~ppc64 ~riscv ~s390 ~sparc ~x86"
+IUSE="full-support minimal test X"
+RESTRICT="!test? ( test )"
+
+RECOMMENDED_DEPEND="
+ >=dev-python/bottleneck-1.3.4[${PYTHON_USEDEP}]
+ >=dev-python/numexpr-2.8.0[${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/beautifulsoup4-4.11.1[${PYTHON_USEDEP}]
+ dev-python/blosc[${PYTHON_USEDEP}]
+ >=dev-python/html5lib-1.1[${PYTHON_USEDEP}]
+ >=dev-python/jinja-3.1.2[${PYTHON_USEDEP}]
+ >=dev-python/lxml-4.8.0[${PYTHON_USEDEP}]
+ >=dev-python/matplotlib-3.6.1[${PYTHON_USEDEP}]
+ >=dev-python/openpyxl-3.0.7[${PYTHON_USEDEP}]
+ >=dev-python/sqlalchemy-1.4.36[${PYTHON_USEDEP}]
+ >=dev-python/tables-3.7.0[${PYTHON_USEDEP}]
+ >=dev-python/tabulate-0.8.10[${PYTHON_USEDEP}]
+ >=dev-python/xarray-2022.3.0[${PYTHON_USEDEP}]
+ >=dev-python/xlrd-2.0.1[${PYTHON_USEDEP}]
+ >=dev-python/xlsxwriter-3.0.3[${PYTHON_USEDEP}]
+ >=dev-python/xlwt-1.3.0[${PYTHON_USEDEP}]
+ !hppa? (
+ $(python_gen_cond_dep '
+ dev-python/statsmodels[${PYTHON_USEDEP}]
+ ' python3_{8..10} )
+ >=dev-python/scipy-1.8.1[${PYTHON_USEDEP}]
+ )
+ X? (
+ || (
+ >=dev-python/PyQt5-5.15.6[${PYTHON_USEDEP}]
+ >=dev-python/QtPy-2.2.0[${PYTHON_USEDEP}]
+ x11-misc/xclip
+ x11-misc/xsel
+ )
+ )
+"
+DEPEND="
+ >=dev-python/numpy-1.23.2[${PYTHON_USEDEP}]
+"
+COMMON_DEPEND="
+ ${DEPEND}
+ >=dev-python/python-dateutil-2.8.2[${PYTHON_USEDEP}]
+ >=dev-python/pytz-2020.1[${PYTHON_USEDEP}]
+"
+BDEPEND="
+ ${COMMON_DEPEND}
+ >=dev-util/meson-1.2.1
+ >=dev-python/cython-0.29.33[${PYTHON_USEDEP}]
+ >=dev-python/versioneer-0.28[${PYTHON_USEDEP}]
+ test? (
+ ${VIRTUALX_DEPEND}
+ ${RECOMMENDED_DEPEND}
+ ${OPTIONAL_DEPEND}
+ >=dev-python/beautifulsoup4-4.11.1[${PYTHON_USEDEP}]
+ >=dev-python/hypothesis-6.46.1[${PYTHON_USEDEP}]
+ >=dev-python/openpyxl-3.0.10[${PYTHON_USEDEP}]
+ >=dev-python/pymysql-1.0.2[${PYTHON_USEDEP}]
+ >=dev-python/psycopg-2.9.3:2[${PYTHON_USEDEP}]
+ >=dev-python/xlsxwriter-3.0.3[${PYTHON_USEDEP}]
+ x11-misc/xclip
+ x11-misc/xsel
+ )
+"
+RDEPEND="
+ ${COMMON_DEPEND}
+ dev-python/tzdata[${PYTHON_USEDEP}]
+ !minimal? ( ${RECOMMENDED_DEPEND} )
+ full-support? ( ${OPTIONAL_DEPEND} )
+"
+
+PATCHES=(
+ # a quick hack, it's already fixed in main
+ "${FILESDIR}/pandas-2.1.1-which.patch"
+ # https://github.com/pandas-dev/pandas/commit/e31a6865958442435ae9b31f312129c44f66eb5e
+ "${FILESDIR}/pandas-2.1.4-khash-dep.patch"
+)
+
+EPYTEST_XDIST=1
+distutils_enable_tests pytest
+
+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
+ tests/window/test_rolling.py::test_rolling_var_numerical_issues
+
+ # TODO; unhappy about DISPLAY?
+ tests/test_downstream.py::test_seaborn
+
+ # OOMs
+ tests/io/parser/test_c_parser_only.py::test_bytes_exceed_2gb
+
+ # TODO: numexpr says "forbidden control characters"
+ tests/computation/test_eval.py::TestOperations::test_multi_line_expression_local_variable
+ 'tests/computation/test_eval.py::test_query_token[numexpr-Temp(\xb0C)]'
+ tests/frame/test_query_eval.py::TestDataFrameQueryBacktickQuoting::test_lots_of_operators_string
+ tests/frame/test_query_eval.py::TestDataFrameQueryBacktickQuoting::test_multiple_spaces
+ tests/frame/test_query_eval.py::TestDataFrameQueryBacktickQuoting::test_parenthesis
+ tests/frame/test_query_eval.py::TestDataFrameQueryBacktickQuoting::test_start_with_spaces
+ tests/frame/test_query_eval.py::TestDataFrameQueryNumExprPandas::test_local_syntax
+ tests/frame/test_query_eval.py::TestDataFrameQueryNumExprPandas::test_local_variable_with_in
+ tests/frame/test_query_eval.py::TestDataFrameQueryNumExprPandas::test_nested_scope
+ tests/frame/test_query_eval.py::TestDataFrameQueryNumExprPandas::test_query_scope
+
+ # TODO: missing data not covered by --no-strict-data-files?
+ tests/io/xml/test_xml.py::test_empty_stylesheet
+ tests/io/xml/test_xml.py::test_wrong_file_path
+
+ # TODO
+ tests/frame/test_arithmetic.py::TestFrameFlexArithmetic::test_floordiv_axis0_numexpr_path
+
+ # deprecation warning
+ tests/io/pytables/test_retain_attributes.py::test_retain_index_attributes2
+ 'tests/computation/test_eval.py::TestEval::test_scalar_unary[numexpr-pandas]'
+
+ # Needs 64-bit time_t (TODO: split into 32-bit arch only section)
+ tests/tseries/offsets/test_year.py::test_add_out_of_pydatetime_range
+ 'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BusinessDay]'
+ 'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BusinessHour]'
+ 'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BusinessMonthEnd]'
+ 'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BusinessMonthBegin]'
+ 'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BQuarterEnd]'
+ 'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-BQuarterBegin]'
+ 'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-CustomBusinessDay]'
+ 'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-CustomBusinessHour]'
+ 'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-CustomBusinessMonthEnd]'
+ 'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-CustomBusinessMonthBegin]'
+ 'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-MonthEnd]'
+ 'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-MonthBegin]'
+ 'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-SemiMonthBegin]'
+ 'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-SemiMonthEnd]'
+ 'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-QuarterEnd]'
+ 'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-LastWeekOfMonth]'
+ 'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-WeekOfMonth]'
+ 'tests/tseries/offsets/test_common.py::test_apply_out_of_range[tzlocal()-Week]'
+
+ # hdf / pytables have alignment problems: bug #911660
+ # https://github.com/pandas-dev/pandas/issues/54396
+ tests/io/pytables/test_append.py::test_append_frame_column_oriented
+ tests/io/pytables/test_store.py::test_select_filter_corner
+
+ # blosc2 version
+ tests/io/pytables/test_file_handling.py::test_complibs\[blosc2-{1..9}\]
+ )
+
+ case ${EPYTHON} in
+ python3.12)
+ EPYTEST_DESELECT+=(
+ tests/io/pytables/test_select.py::test_select_dtypes
+ tests/io/pytables/test_select.py::test_frame_select
+ # deprecation warnings
+ tests/io/excel/test_writers.py::TestRoundTrip::test_read_excel_parse_dates
+ # some pytest-xdist problem?
+ tests/base/test_unique.py::test_unique_bad_unicode
+ )
+ ;;
+ esac
+
+ local -x LC_ALL=C.UTF-8
+ cd "${BUILD_DIR}/install$(python_get_sitedir)" || die
+ "${EPYTHON}" -c "import pandas; pandas.show_versions()" || die
+ # --no-strict-data-files is necessary since upstream prevents data
+ # files from even being included in GitHub archives, sigh
+ # https://github.com/pandas-dev/pandas/issues/54907
+ local -x PYTEST_DISABLE_PLUGIN_AUTOLOAD=1
+ epytest pandas/tests \
+ --no-strict-data-files \
+ -m "not single and not slow and not network" ||
+ die "Tests failed with ${EPYTHON}"
+ rm test-data.xml || die
+}
+
+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-3.0.10" dev-python/xlsxwriter dev-python/xlrd dev-python/xlwt
+ optfeature "necessary for HDF5-based storage" ">=dev-python/tables-3.7.0"
+ 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-1.4.36"
+ 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
+}