# 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="Taking the pain out of choosing a Python global optimizer"

HOMEPAGE="https://github.com/microprediction/humpday"
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="full"
DEPENDENCIES="dev-python/wheel[${PYTHON_USEDEP}]
	>=dev-python/numpy-1.21.5[${PYTHON_USEDEP}]
	>=dev-python/importlib-metadata-1.7.0[${PYTHON_USEDEP}]
	dev-python/getjson[${PYTHON_USEDEP}]
	dev-python/scipy[${PYTHON_USEDEP}]
	dev-python/funcy[${PYTHON_USEDEP}]
	dev-python/winning[${PYTHON_USEDEP}]
	dev-python/microconventions[${PYTHON_USEDEP}]
	dev-python/landscapes[${PYTHON_USEDEP}]
	dev-python/pymorton[${PYTHON_USEDEP}]
	dev-python/scikit-learn[${PYTHON_USEDEP}]
	full? ( dev-python/bayesian-optimization[${PYTHON_USEDEP}] )
	full? ( dev-python/optuna[${PYTHON_USEDEP}] )
	full? ( dev-python/Platypus-Opt[${PYTHON_USEDEP}] )
	full? ( dev-python/POAP[${PYTHON_USEDEP}] )
	full? ( dev-python/pySOT[${PYTHON_USEDEP}] )
	full? ( dev-python/ultraopt[${PYTHON_USEDEP}] )
	full? ( dev-python/dlib[${PYTHON_USEDEP}] )
	full? ( dev-python/ax-platform[${PYTHON_USEDEP}] )
	full? ( dev-python/Py-BOBYQA[${PYTHON_USEDEP}] )
	full? ( dev-python/HEBO[${PYTHON_USEDEP}] )
	full? ( dev-python/nlopt[${PYTHON_USEDEP}] )
	full? ( dev-python/freelunch[${PYTHON_USEDEP}] )"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"