# 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=wheel

inherit python-r1 gs-pypi

DESCRIPTION="Applying GAN in tabular data generation for uneven distribution [wheel]"

HOMEPAGE="https://github.com/Diyago/GAN-for-tabular-data"
LICENSE="Apache-2.0"
SRC_URI="https://files.pythonhosted.org/packages/py2.py3/${REALNAME::1}/${REALNAME}/${REALNAME}-${REALVERSION}-py2.py3-none-any.whl"
SOURCEFILE="${REALNAME}-${REALVERSION}-py2.py3-none-any.whl"
RESTRICT="test"

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

IUSE="testing"
DEPENDENCIES="dev-python/pandas[${PYTHON_USEDEP}]
	>=dev-python/numpy-2.0[${PYTHON_USEDEP}]
	dev-python/category-encoders[${PYTHON_USEDEP}]
	dev-python/torch[${PYTHON_USEDEP}]
	dev-python/lightgbm[${PYTHON_USEDEP}]
	>=dev-python/scikit-learn-1.5.2[${PYTHON_USEDEP}]
	dev-python/torchvision[${PYTHON_USEDEP}]
	dev-python/python-dateutil[${PYTHON_USEDEP}]
	dev-python/tqdm[${PYTHON_USEDEP}]
	dev-python/xgboost[${PYTHON_USEDEP}]
	dev-python/be-great[${PYTHON_USEDEP}]
	testing? ( dev-python/pytest[${PYTHON_USEDEP}] )
	testing? ( dev-python/pytest-cov[${PYTHON_USEDEP}] )
	virtual/allow-pypi-wheels"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"