# 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="Library to enable Bayesian active learning in your research or labeling work."

HOMEPAGE="https://github.com/ElementAI/baal/"
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="nlp vision"
DEPENDENCIES="dev-python/torch[${PYTHON_USEDEP}]
	dev-python/torchmetrics[${PYTHON_USEDEP}]
	>=dev-python/numpy-2.0.0[${PYTHON_USEDEP}]
	<dev-python/matplotlib-4.0.0[${PYTHON_USEDEP}]
	>=dev-python/pillow-6.2.0[${PYTHON_USEDEP}]
	<dev-python/tqdm-5.0.0[${PYTHON_USEDEP}]
	<dev-python/structlog-23.0.0[${PYTHON_USEDEP}]
	<dev-python/scikit-learn-2.0.0[${PYTHON_USEDEP}]
	<dev-python/scipy-2.0.0[${PYTHON_USEDEP}]
	vision? ( dev-python/torchvision[${PYTHON_USEDEP}] )
	vision? ( dev-python/lightning-flash[${PYTHON_USEDEP}] )
	nlp? ( dev-python/transformers[${PYTHON_USEDEP}] )
	nlp? ( dev-python/accelerate[${PYTHON_USEDEP}] )
	nlp? ( dev-python/datasets[${PYTHON_USEDEP}] )
	<dev-python/jupyter-2.0.0[${PYTHON_USEDEP}]"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"