From 6c988f4ed171aed46326587a0ec0d64297b20f49 Mon Sep 17 00:00:00 2001 From: V3n3RiX Date: Mon, 11 Mar 2024 00:45:39 +0000 Subject: gentoo auto-resync : 11:03:2024 - 00:45:38 --- dev-python/scikit-learn/Manifest | 3 + dev-python/scikit-learn/metadata.xml | 17 +++++ .../scikit-learn/scikit-learn-1.3.2-r1.ebuild | 78 ++++++++++++++++++++++ 3 files changed, 98 insertions(+) create mode 100644 dev-python/scikit-learn/Manifest create mode 100644 dev-python/scikit-learn/metadata.xml create mode 100644 dev-python/scikit-learn/scikit-learn-1.3.2-r1.ebuild (limited to 'dev-python/scikit-learn') diff --git a/dev-python/scikit-learn/Manifest b/dev-python/scikit-learn/Manifest new file mode 100644 index 000000000000..93c832da8178 --- /dev/null +++ b/dev-python/scikit-learn/Manifest @@ -0,0 +1,3 @@ +DIST scikit-learn-1.3.2.gh.tar.gz 7650823 BLAKE2B 170699917f46d6d3f4b9ebc314bc1ec45687dad0a4aec5d2cee6e288b5dbe508bad6dd80406501f289a33593c6482067393e9dc28155f85a4872a34523bf4199 SHA512 a3799e9b39b755a50ba225f836904a378f7d83a08274c614d0485e4d4d4a7b0c7adba2dbb6612f2ccb4e5167f872214a2853eff69d767dc70f52369bda7a230b +EBUILD scikit-learn-1.3.2-r1.ebuild 1937 BLAKE2B 633a70b5f27f2ad9a3e1ccbc0f560aa3e4e41768827d2fe7f89009712c105829a545de79b2acdb7e45d7ff4f83d555ba138f4bbff76038474996e2fa8eec3b78 SHA512 b09e1c642450e0bc10b213a3171962dd262f550926424c10de11711597c70c0915a140a30ffe6f255c5751bce9938b7874a0b9feebc51d71d042830f1991e7b6 +MISC metadata.xml 614 BLAKE2B b5425c2d022592581647c9b97c0ab22bfc2afe347b2e5ea22f141245238f145322f39406c62318ba1e6af1462b2691267b39976bfde38faaf1d28b1d29c4e015 SHA512 74ac79123848bc385c29fcfdc4a1e780529dda685c1deb5eb722f5d4919ee6ac9d80798d52c4af0be0cc8dbbaea3784963dd97e2b7c1258cc2f5605b0bc8907a diff --git a/dev-python/scikit-learn/metadata.xml b/dev-python/scikit-learn/metadata.xml new file mode 100644 index 000000000000..8700c73ecc29 --- /dev/null +++ b/dev-python/scikit-learn/metadata.xml @@ -0,0 +1,17 @@ + + + + + sci@gentoo.org + Gentoo Science Project + + + sklearn is a python library for machine learning. It aims to + implement classic machine learning algorithms while remaining simple + and efficient. + + + scikit-learn + scikit-learn/scikit-learn + + diff --git a/dev-python/scikit-learn/scikit-learn-1.3.2-r1.ebuild b/dev-python/scikit-learn/scikit-learn-1.3.2-r1.ebuild new file mode 100644 index 000000000000..1f42ebe8f21a --- /dev/null +++ b/dev-python/scikit-learn/scikit-learn-1.3.2-r1.ebuild @@ -0,0 +1,78 @@ +# Copyright 2020-2024 Gentoo Authors +# Distributed under the terms of the GNU General Public License v2 + +EAPI=8 + +DISTUTILS_EXT=1 +DISTUTILS_USE_PEP517=setuptools +PYTHON_COMPAT=( python3_{10..12} ) + +inherit distutils-r1 + +DESCRIPTION="Machine learning library for Python" +HOMEPAGE=" + https://scikit-learn.org/stable/ + https://github.com/scikit-learn/scikit-learn/ + https://pypi.org/project/scikit-learn/ +" +SRC_URI=" + https://github.com/scikit-learn/scikit-learn/archive/${PV}.tar.gz + -> ${P}.gh.tar.gz +" + +LICENSE="BSD" +SLOT="0" +KEYWORDS="amd64 ~arm64 ppc64 ~riscv ~x86 ~arm64-macos ~x64-macos" +IUSE="examples" + +DEPEND=" + virtual/blas:= + virtual/cblas:= +" +RDEPEND=" + ${DEPEND} + dev-python/wheel[${PYTHON_USEDEP}] + >=dev-python/joblib-1.2.0[${PYTHON_USEDEP}] + >=dev-python/numpy-1.22.3[${PYTHON_USEDEP}] + >=dev-python/scipy-1.5.0[${PYTHON_USEDEP}] + >=dev-python/threadpoolctl-2.0.0[${PYTHON_USEDEP}] +" +BDEPEND=" + >=dev-python/pythran-0.14.0[${PYTHON_USEDEP}] + dev-python/cython[${PYTHON_USEDEP}] +" + +EPYTEST_XDIST=1 +distutils_enable_tests pytest + +# For some reason this wants to use urllib to fetch things from the internet +# distutils_enable_sphinx doc \ +# dev-python/matplotlib \ +# dev-python/memory-profiler \ +# dev-python/numpydoc \ +# dev-python/pandas \ +# dev-python/pillow \ +# dev-python/seaborn \ +# dev-python/sphinx-gallery \ +# dev-python/sphinx-prompt \ +# dev-python/scikit-image + +python_test() { + local EPYTEST_DESELECT=( + # test broken with newer scipy, fixed upstream + # https://github.com/scikit-learn/scikit-learn/issues/27578 + manifold/tests/test_locally_linear.py::test_singular_matrix + # TODO + gaussian_process/kernels.py::sklearn.gaussian_process.kernels.ExpSineSquared + ) + + rm -rf sklearn || die + local -x PYTEST_DISABLE_PLUGIN_AUTOLOAD=1 + epytest --pyargs sklearn +} + +python_install_all() { + find "${S}" -name \*LICENSE.txt -delete || die + distutils-r1_python_install_all + use examples && dodoc -r examples +} -- cgit v1.2.3