# automatically generated by g-sorcery # please do not edit this file EAPI=8 REALNAME="${PN}" LITERALNAME="${PN}" REALVERSION="${PV}" DIGEST_SOURCES="yes" PYTHON_COMPAT=( python{3_11,3_12} ) DISTUTILS_USE_PEP517=standalone inherit python-r1 gs-pypi DESCRIPTION="EthicML is a library for performing and assessing algorithmic fairness. Unlike other libraries, EthicML isn't an education tool, but rather a researcher's toolkit." HOMEPAGE="https://github.com/wearepal/EthicML" LICENSE="" SRC_URI="https://files.pythonhosted.org/packages/db/43/6558499e29f6dcfc60e29f9a683f9430a801fbb85ca1db5ecc767c311a49/ethicml-${REALVERSION}.tar.gz" SOURCEFILE="ethicml-${REALVERSION}.tar.gz" RESTRICT="test" SLOT="0" KEYWORDS="~amd64 ~x86" IUSE="all data metrics models plot" DEPENDENCIES="models? ( =dev-python/matplotlib-3.8[${PYTHON_USEDEP}] ) all? ( >=dev-python/matplotlib-3.8[${PYTHON_USEDEP}] ) dev-python/networkx[${PYTHON_USEDEP}] >=dev-python/numpy-1.23.2[${PYTHON_USEDEP}] >=dev-python/pandas-1.5.0[${PYTHON_USEDEP}] models? ( =dev-python/pillow-8.4.0[${PYTHON_USEDEP}] dev-python/ranzen[${PYTHON_USEDEP}] dev-python/requests[${PYTHON_USEDEP}] metrics? ( >=dev-python/scikit-learn-0.20.1[${PYTHON_USEDEP}] ) models? ( >=dev-python/scikit-learn-0.20.1[${PYTHON_USEDEP}] ) all? ( >=dev-python/scikit-learn-0.20.1[${PYTHON_USEDEP}] ) models? ( =dev-python/seaborn-0.9.0[${PYTHON_USEDEP}] ) all? ( >=dev-python/seaborn-0.9.0[${PYTHON_USEDEP}] ) models? ( dev-python/smmap2[${PYTHON_USEDEP}] ) all? ( dev-python/smmap2[${PYTHON_USEDEP}] ) =dev-python/typing-extensions-4.5[${PYTHON_USEDEP}]" BDEPEND="${DEPENDENCIES}" RDEPEND="${DEPENDENCIES}"