SecBSD's official ports repository

math/py-scikit-learn/Makefile

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+COMMENT =	set of python modules for machine learning and data mining
+
+MODPY_EGG_VERSION =	1.2.0
+DISTNAME =		scikit-learn-${MODPY_EGG_VERSION}
+PKGNAME =		py-${DISTNAME}
+
+CATEGORIES =		math
+
+HOMEPAGE =		http://scikit-learn.org
+
+MAINTAINER =		Paul Irofti <paul@irofti.net>
+
+# BSD-3
+PERMIT_PACKAGE =	Yes
+
+# C++11
+COMPILER =		base-clang ports-gcc
+
+WANTLIB += ${COMPILER_LIBCXX} m
+
+MODULES =		lang/python
+
+MODPY_PI =		Yes
+MODPY_PYTEST =		Yes
+MODPY_TEST_DIR = ${WRKSRC}/lib.openbsd-${OSREV}-${ARCH}-${MODPY_VERSION}
+MODPY_SETUPTOOLS = 	Yes
+
+FLAVORS =		python3
+FLAVOR =		python3
+
+BUILD_DEPENDS =		lang/cython${MODPY_FLAVOR} \
+			math/py-numpy${MODPY_FLAVOR} \
+			math/py-scipy${MODPY_FLAVOR}
+
+RUN_DEPENDS =		math/py-numpy${MODPY_FLAVOR}>=1.17.3 \
+			math/py-scipy${MODPY_FLAVOR}>=1.3.2 \
+			sysutils/py-joblib${MODPY_FLAVOR}>=1.1.1 \
+			sysutils/py-threadpoolctl${MODPY_FLAVOR}>=2.0.0
+
+TEST_DEPENDS =		math/py-pandas${MODPY_FLAVOR}
+
+pre-test:
+	cp -r ${WRKSRC}/sklearn/datasets/{data,descr} \
+		${MODPY_TEST_DIR}/sklearn/datasets
+
+.include <bsd.port.mk>

math/py-scikit-learn/distinfo

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+SHA256 (scikit-learn-1.2.0.tar.gz) = aAtls8ruRpVBOF0spbA/9wQI9sYYxYOUgxLw0hJd9oA=
+SIZE (scikit-learn-1.2.0.tar.gz) = 7208996

math/py-scikit-learn/pkg/DESCR

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+scikit-learn is a BSD-licensed Python module for machine learning
+and data mining built on top of SciPy.