SPECS: add python-scikit-learn

SPECS/python-scikit-learn/python-scikit-learn.spec

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+# SPDX-FileCopyrightText: (C) 2026 Institute of Software, Chinese Academy of Sciences (ISCAS)
+# SPDX-FileCopyrightText: (C) 2026 openRuyi Project Contributors
+# SPDX-FileContributor: Kimmy <yucheng.or@isrc.iscas.ac.cn>
+#
+# SPDX-License-Identifier: MulanPSL-2.0
+
+%global srcname scikit-learn
+%global pypi_name scikit_learn
+
+Name:           python-%{srcname}
+Version:        1.8.0
+Release:        %autorelease
+Summary:        A set of Python modules for machine learning and data mining
+License:        BSD-3-Clause
+URL:            https://scikit-learn.org
+VCS:            git:https://github.com/scikit-learn/scikit-learn.git
+#!RemoteAsset:  sha256:9bccbb3b40e3de10351f8f5068e105d0f4083b1a65fa07b6634fbc401a6287fd
+Source:         https://files.pythonhosted.org/packages/source/s/%{srcname}/%{pypi_name}-%{version}.tar.gz
+BuildSystem:    pyproject
+
+BuildOption(install):  -l sklearn
+BuildOption(check):  -e "sklearn.*.tests*" -e "sklearn.tests*" -e "sklearn.conftest" -e "sklearn.externals.array_api_compat.cupy*" -e "sklearn.externals.array_api_compat.dask*"
+
+BuildRequires:  meson
+BuildRequires:  ninja
+BuildRequires:  pyproject-rpm-macros
+BuildRequires:  pkgconfig(python3)
+BuildRequires:  python3dist(meson-python)
+BuildRequires:  python3dist(cython)
+BuildRequires:  python3dist(numpy)
+BuildRequires:  python3dist(scipy)
+BuildRequires:  python3dist(torch)
+
+Requires:       python3dist(numpy)
+Requires:       python3dist(scipy)
+Requires:       python3dist(joblib)
+Requires:       python3dist(threadpoolctl)
+
+Provides:       python3-%{srcname} = %{version}-%{release}
+%python_provide python3-%{srcname}
+
+%description
+scikit-learn is a Python module for machine learning built on top of SciPy
+and is distributed under the 3-Clause BSD license. It features various
+classification, regression and clustering algorithms including support vector
+machines, random forests, gradient boosting, k-means and DBSCAN, and is
+designed to interoperate with the Python numerical and scientific libraries
+NumPy and SciPy.
+
+%prep -a
+# Relax upper bounds on numpy and scipy for openRuyi
+sed -i 's/"numpy>=2,<2.4.0"/"numpy>=2"/' pyproject.toml
+sed -i 's/"scipy>=1.10.0,<1.17.0"/"scipy>=1.10.0"/' pyproject.toml
+
+%generate_buildrequires
+%pyproject_buildrequires -p
+
+%files -f %{pyproject_files}
+%license COPYING
+%doc README.rst
+
+%changelog
+%autochangelog