# 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="Sane handling of time series data for forecast modelling - with production usage in mind."

HOMEPAGE="https://github.com/seitabv/timetomodel"
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/sqlalchemy[${PYTHON_USEDEP}]
	dev-python/matplotlib[${PYTHON_USEDEP}]
	dev-python/numpy[${PYTHON_USEDEP}]
	>=dev-python/pandas-1.4.0[${PYTHON_USEDEP}]
	>=dev-python/python-dateutil-2.5[${PYTHON_USEDEP}]
	dev-python/pytz[${PYTHON_USEDEP}]
	dev-python/scikit-learn[${PYTHON_USEDEP}]
	dev-python/scipy[${PYTHON_USEDEP}]
	dev-python/statsmodels[${PYTHON_USEDEP}]"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"