# 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} )
DISTUTILS_USE_PEP517=standalone

inherit python-r1 gs-pypi

DESCRIPTION="Industrial Data Science Library by Cognite"

HOMEPAGE="https://indsl.docs.cognite.com"
LICENSE="Apache-2.0"
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 fluids modeling numba plot scikit stats"
DEPENDENCIES="<dev-python/scipy-1.17.0[${PYTHON_USEDEP}]
	<dev-python/pandas-2.4.0[${PYTHON_USEDEP}]
	<dev-python/typeguard-5.0.0[${PYTHON_USEDEP}]
	<dev-python/packaging-24.0[${PYTHON_USEDEP}]
	<dev-python/numpy-3.0.0[${PYTHON_USEDEP}]
	<dev-python/typing-extensions-5.0.0[${PYTHON_USEDEP}]
	fluids? ( dev-python/fluids[${PYTHON_USEDEP}] )
	all? ( dev-python/fluids[${PYTHON_USEDEP}] )
	plot? ( <dev-python/matplotlib-4.0.0[${PYTHON_USEDEP}] )
	all? ( <dev-python/matplotlib-4.0.0[${PYTHON_USEDEP}] )
	numba? ( dev-python/numba[${PYTHON_USEDEP}] )
	all? ( dev-python/numba[${PYTHON_USEDEP}] )
	modeling? ( dev-python/kneed[${PYTHON_USEDEP}] )
	all? ( dev-python/kneed[${PYTHON_USEDEP}] )
	modeling? ( dev-python/csaps[${PYTHON_USEDEP}] )
	all? ( dev-python/csaps[${PYTHON_USEDEP}] )
	stats? ( <dev-python/statsmodels-0.15.0[${PYTHON_USEDEP}] )
	all? ( <dev-python/statsmodels-0.15.0[${PYTHON_USEDEP}] )
	scikit? ( <dev-python/scikit-image-0.26.0[${PYTHON_USEDEP}] )
	all? ( <dev-python/scikit-image-0.26.0[${PYTHON_USEDEP}] )
	scikit? ( <dev-python/scikit-learn-2.0.0[${PYTHON_USEDEP}] )
	all? ( <dev-python/scikit-learn-2.0.0[${PYTHON_USEDEP}] )
	<dev-python/pywavelets-2.0.0[${PYTHON_USEDEP}]"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"