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

EAPI=8

REALNAME="${PN}"
LITERALNAME="${PN}"
REALVERSION="4.0.0rc14"
DIGEST_SOURCES="yes"
PYTHON_COMPAT=( python{3_11,3_12,3_13} )
DISTUTILS_USE_PEP517=standalone

inherit python-r1 gs-pypi

DESCRIPTION="Retentioneering is a powerful Python library for user retention analysis. It provides a simple and intuitive interface for tracking user behavior, analyzing data, and gaining valuable insights into your users."

HOMEPAGE="https://github.com/retentioneering/retentioneering-tools"
LICENSE="Retentioneering Software Non-Exclusive 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/numpy-3.0[${PYTHON_USEDEP}]
	<dev-python/pandas-3.0[${PYTHON_USEDEP}]
	<dev-python/pydantic-2.0[${PYTHON_USEDEP}]
	<dev-python/networkx-4.0[${PYTHON_USEDEP}]
	>=dev-python/plotly-5.10.0[${PYTHON_USEDEP}]
	>=dev-python/seaborn-0.12.1[${PYTHON_USEDEP}]
	dev-python/umap-learn[${PYTHON_USEDEP}]
	<dev-python/scikit-learn-2.0[${PYTHON_USEDEP}]
	>=dev-python/statsmodels-0.14.0[${PYTHON_USEDEP}]
	<dev-python/scipy-2.0[${PYTHON_USEDEP}]
	dev-python/docrep[${PYTHON_USEDEP}]
	dev-python/nanoid[${PYTHON_USEDEP}]
	<dev-python/ipython-9.0[${PYTHON_USEDEP}]
	>=dev-python/matplotlib-3.7.2[${PYTHON_USEDEP}]
	dev-python/anywidget[${PYTHON_USEDEP}]"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"