# automatically generated by g-sorcery
# please do not edit this file

EAPI=8

REALNAME="${PN}"
LITERALNAME="${PN}"
REALVERSION="${PV}"
DIGEST_SOURCES="yes"
PYTHON_COMPAT=( python3_11 )
DISTUTILS_USE_PEP517=standalone

inherit python-r1 gs-pypi

DESCRIPTION="Bayesian IRT models in Python"

HOMEPAGE="https://github.com/nd-ball/py-irt/"
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=""
DEPENDENCIES=">=dev-python/numpy-1.24.4[${PYTHON_USEDEP}]
	<dev-python/pandas-3.0.0[${PYTHON_USEDEP}]
	dev-python/pyro-ppl[${PYTHON_USEDEP}]
	<dev-python/rich-14.0.0[${PYTHON_USEDEP}]
	<dev-python/scipy-2.0.0[${PYTHON_USEDEP}]
	<dev-python/typer-0.15.0[${PYTHON_USEDEP}]
	<dev-python/pydantic-3.0.0[${PYTHON_USEDEP}]
	<dev-python/scikit-learn-2.0.0[${PYTHON_USEDEP}]
	dev-python/toml[${PYTHON_USEDEP}]
	<dev-python/ordered-set-5.0.0[${PYTHON_USEDEP}]
	dev-python/torch[${PYTHON_USEDEP}]"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"