# 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="A python package for accessing and Hybrid-graph Datasets and train-eval framework for GNNs"

HOMEPAGE="https://github.com/Zehui127/hybrid-graph-benchmark/"
LICENSE=""
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=""
DEPENDENCIES="dev-python/torch[${PYTHON_USEDEP}]
	dev-python/torch-scatter[${PYTHON_USEDEP}]
	dev-python/torch-sparse[${PYTHON_USEDEP}]
	dev-python/torch-geometric[${PYTHON_USEDEP}]
	~dev-python/ipdb-0.13.13[${PYTHON_USEDEP}]
	~dev-python/ipython-8.13.2[${PYTHON_USEDEP}]
	~dev-python/matplotlib-3.7.1[${PYTHON_USEDEP}]
	~dev-python/networkx-3.1[${PYTHON_USEDEP}]
	~dev-python/numpy-1.24.2[${PYTHON_USEDEP}]
	dev-python/pytorch-lightning[${PYTHON_USEDEP}]
	~dev-python/pyyaml-6.0[${PYTHON_USEDEP}]
	~dev-python/scikit-learn-1.2.1[${PYTHON_USEDEP}]
	~dev-python/seaborn-0.12.2[${PYTHON_USEDEP}]
	dev-python/torchmetrics[${PYTHON_USEDEP}]"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"