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# automatically generated by g-sorcery
# please do not edit this file
EAPI=8
REALNAME="${PN}"
LITERALNAME="${PN}"
REALVERSION="${PV}"
DIGEST_SOURCES="yes"
PYTHON_COMPAT=( python{3_11,3_12,3_13,3_14} )
DISTUTILS_USE_PEP517=standalone
inherit python-r1 gs-pypi
DESCRIPTION="Collection of various optimization methods, including tensor based, for multivariate functions and multidimensional data arrays"
HOMEPAGE="https://github.com/AIRI-Institute/teneva_opti"
LICENSE="MIT"
SRC_URI="https://files.pythonhosted.org/packages/source/${REALNAME::1}/${REALNAME}/${REALNAME//-/_}-${REALVERSION}.tar.gz"
SOURCEFILE="${REALNAME//-/_}-${REALVERSION}.tar.gz"
RESTRICT="test"
SLOT="0"
KEYWORDS="~amd64 ~x86"
IUSE=""
DEPENDENCIES="dev-python/nevergrad[${PYTHON_USEDEP}]
<=dev-python/pandas-1.5.3[${PYTHON_USEDEP}]
dev-python/protes[${PYTHON_USEDEP}]
~dev-python/seaborn-0.12.2[${PYTHON_USEDEP}]
dev-python/teneva[${PYTHON_USEDEP}]
dev-python/teneva-bm[${PYTHON_USEDEP}]
dev-python/ttopt[${PYTHON_USEDEP}]
>=dev-python/matplotlib-3.7.0[${PYTHON_USEDEP}]
dev-python/ml-dtypes[${PYTHON_USEDEP}]
>=dev-python/numpy-1.22[${PYTHON_USEDEP}]"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"