# 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="Insolver is low-code machine learning library, initially created for the insurance industry."

HOMEPAGE="http://insolver.io/"
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="all feature-engineering feature-monitoring interpretation report serving"
DEPENDENCIES="serving? ( >=dev-python/django-4.2.15[${PYTHON_USEDEP}] )
	all? ( >=dev-python/django-4.2.15[${PYTHON_USEDEP}] )
	serving? ( >=dev-python/flask-2.3.2[${PYTHON_USEDEP}] )
	all? ( >=dev-python/flask-2.3.2[${PYTHON_USEDEP}] )
	feature-monitoring? ( >=dev-python/jinja2-3.1.3[${PYTHON_USEDEP}] )
	report? ( >=dev-python/jinja2-3.1.3[${PYTHON_USEDEP}] )
	serving? ( >=dev-python/jinja2-3.1.3[${PYTHON_USEDEP}] )
	all? ( >=dev-python/jinja2-3.1.3[${PYTHON_USEDEP}] )
	interpretation? ( dev-python/alibi[${PYTHON_USEDEP}] )
	all? ( dev-python/alibi[${PYTHON_USEDEP}] )
	dev-python/catboost[${PYTHON_USEDEP}]
	interpretation? ( dev-python/dice-ml[${PYTHON_USEDEP}] )
	all? ( dev-python/dice-ml[${PYTHON_USEDEP}] )
	>=dev-python/dill-0.3.4[${PYTHON_USEDEP}]
	serving? ( >=dev-python/djangorestframework-3.15.2[${PYTHON_USEDEP}] )
	all? ( >=dev-python/djangorestframework-3.15.2[${PYTHON_USEDEP}] )
	serving? ( dev-python/fastapi[${PYTHON_USEDEP}] )
	all? ( dev-python/fastapi[${PYTHON_USEDEP}] )
	serving? ( dev-python/gunicorn[${PYTHON_USEDEP}] )
	all? ( dev-python/gunicorn[${PYTHON_USEDEP}] )
	dev-python/h2o[${PYTHON_USEDEP}]
	dev-python/hyperopt[${PYTHON_USEDEP}]
	dev-python/lightgbm[${PYTHON_USEDEP}]
	interpretation? ( dev-python/lime[${PYTHON_USEDEP}] )
	report? ( dev-python/lime[${PYTHON_USEDEP}] )
	all? ( dev-python/lime[${PYTHON_USEDEP}] )
	>=dev-python/matplotlib-3.4.3[${PYTHON_USEDEP}]
	dev-python/numba[${PYTHON_USEDEP}]
	>=dev-python/numpy-1.22.0[${PYTHON_USEDEP}]
	>=dev-python/pandas-1.2.0[${PYTHON_USEDEP}]
	>=dev-python/plotly-5.3.1[${PYTHON_USEDEP}]
	serving? ( >=dev-python/pydantic-2.0[${PYTHON_USEDEP}] )
	all? ( >=dev-python/pydantic-2.0[${PYTHON_USEDEP}] )
	>=dev-python/scikit-learn-1.3.2[${PYTHON_USEDEP}]
	>=dev-python/scipy-1.10.0[${PYTHON_USEDEP}]
	>=dev-python/seaborn-0.12.2[${PYTHON_USEDEP}]
	dev-python/shap[${PYTHON_USEDEP}]
	feature-engineering? ( >=dev-python/statsmodels-0.13.1[${PYTHON_USEDEP}] )
	all? ( >=dev-python/statsmodels-0.13.1[${PYTHON_USEDEP}] )
	serving? ( >=dev-python/sympy-1.9[${PYTHON_USEDEP}] )
	all? ( >=dev-python/sympy-1.9[${PYTHON_USEDEP}] )
	serving? ( >=dev-python/uvicorn-0.27[${PYTHON_USEDEP}] )
	all? ( >=dev-python/uvicorn-0.27[${PYTHON_USEDEP}] )
	dev-python/xgboost[${PYTHON_USEDEP}]
	report? ( dev-python/ydata-profiling[${PYTHON_USEDEP}] )
	all? ( dev-python/ydata-profiling[${PYTHON_USEDEP}] )"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"