# automatically generated by g-sorcery
# please do not edit this file

EAPI=8

REALNAME="${PN}"
LITERALNAME="${PN}"
REALVERSION="${PV}"
DIGEST_SOURCES="yes"
PYTHON_COMPAT=( python{3_11,3_12,3_13,3_14} )
DISTUTILS_USE_PEP517=standalone

inherit python-r1 gs-pypi

DESCRIPTION="Python implementations of metric learning algorithms"

HOMEPAGE="http://github.com/scikit-learn-contrib/metric-learn"
LICENSE="MIT"
SRC_URI="https://files.pythonhosted.org/packages/source/${REALNAME::1}/${REALNAME}/${REALNAME}-${REALVERSION}.tar.gz"
SOURCEFILE="${REALNAME}-${REALVERSION}.tar.gz"
RESTRICT="test"

SLOT="0"
KEYWORDS="~amd64 ~x86"

IUSE="demo docs sdml"
DEPENDENCIES=">=dev-python/numpy-1.11.0[${PYTHON_USEDEP}]
	>=dev-python/scipy-0.17.0[${PYTHON_USEDEP}]
	>=dev-python/scikit-learn-0.21.3[${PYTHON_USEDEP}]
	demo? ( dev-python/matplotlib[${PYTHON_USEDEP}] )
	docs? ( dev-python/sphinx[${PYTHON_USEDEP}] )
	docs? ( dev-python/sphinx-rtd-theme[${PYTHON_USEDEP}] )
	docs? ( dev-python/numpydoc[${PYTHON_USEDEP}] )
	docs? ( dev-python/sphinx-gallery[${PYTHON_USEDEP}] )
	docs? ( dev-python/matplotlib[${PYTHON_USEDEP}] )
	sdml? ( dev-python/skggm[${PYTHON_USEDEP}] )"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"