# 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="Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus."

HOMEPAGE="https://github.com/sebischair/Lbl2Vec"
LICENSE="BSD 3-Clause New or Revised 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/pandas-1.3.0[${PYTHON_USEDEP}]
	>=dev-python/numpy-1.21.0[${PYTHON_USEDEP}]
	dev-python/gensim[${PYTHON_USEDEP}]
	>=dev-python/scikit-learn-0.24.2[${PYTHON_USEDEP}]
	>=dev-python/psutil-5.8.0[${PYTHON_USEDEP}]
	dev-python/syntok[${PYTHON_USEDEP}]
	dev-python/sentence-transformers[${PYTHON_USEDEP}]
	dev-python/transformers[${PYTHON_USEDEP}]
	dev-python/torch[${PYTHON_USEDEP}]
	dev-python/ray[${PYTHON_USEDEP}]"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"