# 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="An eXplainable Cell-specific machine learning method to predict clinical Phenotypes using single-cell multi-omics"

HOMEPAGE="https://pyCellPhenoX.readthedocs.io/"
LICENSE="MIT"
SRC_URI="https://files.pythonhosted.org/packages/7c/ad/24bdab42b4732f531f68b132329b6d819a7662becbe97c7d4f82e77ffe3b/pycellphenox-${REALVERSION}.tar.gz"
SOURCEFILE="pycellphenox-${REALVERSION}.tar.gz"
RESTRICT="test"

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

IUSE=""
DEPENDENCIES="<dev-python/pandas-3.0.0[${PYTHON_USEDEP}]
	<dev-python/numpy-2.0[${PYTHON_USEDEP}]
	dev-python/xgboost[${PYTHON_USEDEP}]
	dev-python/numba[${PYTHON_USEDEP}]
	<dev-python/scikit-learn-2.0.0[${PYTHON_USEDEP}]
	<dev-python/matplotlib-4.0.0[${PYTHON_USEDEP}]
	<dev-python/statsmodels-0.15.0[${PYTHON_USEDEP}]
	dev-python/fasttreeshap[${PYTHON_USEDEP}]
	dev-python/shap[${PYTHON_USEDEP}]
	dev-python/met-brewer[${PYTHON_USEDEP}]"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"