# 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="Machine learning audio prediction experiments based on templates"

HOMEPAGE="https://github.com/felixbur/nkululeko"
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="all spotlight tensorflow torch torch-cpu"
DEPENDENCIES="dev-python/audb[${PYTHON_USEDEP}]
	dev-python/audeer[${PYTHON_USEDEP}]
	dev-python/audformat[${PYTHON_USEDEP}]
	dev-python/audplot[${PYTHON_USEDEP}]
	dev-python/audmodel[${PYTHON_USEDEP}]
	dev-python/auglib[${PYTHON_USEDEP}]
	dev-python/audinterface[${PYTHON_USEDEP}]
	dev-python/audiofile[${PYTHON_USEDEP}]
	dev-python/audiomentations[${PYTHON_USEDEP}]
	dev-python/audmetric[${PYTHON_USEDEP}]
	dev-python/audonnx[${PYTHON_USEDEP}]
	dev-python/confidence-intervals[${PYTHON_USEDEP}]
	dev-python/datasets[${PYTHON_USEDEP}]
	dev-python/googletrans[${PYTHON_USEDEP}]
	>=dev-python/imageio-2.0.0[${PYTHON_USEDEP}]
	>=dev-python/matplotlib-3.0.0[${PYTHON_USEDEP}]
	>=dev-python/numpy-1.20.0[${PYTHON_USEDEP}]
	dev-python/numpy-audio-limiter[${PYTHON_USEDEP}]
	dev-python/opensmile[${PYTHON_USEDEP}]
	<dev-python/pandas-3.0.0[${PYTHON_USEDEP}]
	dev-python/praat-parselmouth[${PYTHON_USEDEP}]
	>=dev-python/scikit-learn-1.0.0[${PYTHON_USEDEP}]
	>=dev-python/scipy-1.0.0[${PYTHON_USEDEP}]
	>=dev-python/seaborn-0.11.0[${PYTHON_USEDEP}]
	dev-python/sentencepiece[${PYTHON_USEDEP}]
	dev-python/shap[${PYTHON_USEDEP}]
	dev-python/sounddevice[${PYTHON_USEDEP}]
	dev-python/splitutils[${PYTHON_USEDEP}]
	dev-python/torchaudio[${PYTHON_USEDEP}]
	dev-python/torchvision[${PYTHON_USEDEP}]
	dev-python/torch[${PYTHON_USEDEP}]
	dev-python/transformers[${PYTHON_USEDEP}]
	dev-python/umap-learn[${PYTHON_USEDEP}]
	dev-python/xgboost[${PYTHON_USEDEP}]
	>=dev-python/pylatex-1.0.0[${PYTHON_USEDEP}]
	torch? ( dev-python/torch[${PYTHON_USEDEP}] )
	torch? ( dev-python/torchvision[${PYTHON_USEDEP}] )
	torch? ( dev-python/torchaudio[${PYTHON_USEDEP}] )
	torch-cpu? ( dev-python/torch[${PYTHON_USEDEP}] )
	torch-cpu? ( dev-python/torchvision[${PYTHON_USEDEP}] )
	torch-cpu? ( dev-python/torchaudio[${PYTHON_USEDEP}] )
	spotlight? ( dev-python/renumics-spotlight[${PYTHON_USEDEP}] )
	spotlight? ( dev-python/sliceguard[${PYTHON_USEDEP}] )
	tensorflow? ( dev-python/tensorflow[${PYTHON_USEDEP}] )
	tensorflow? ( dev-python/tensorflow-hub[${PYTHON_USEDEP}] )
	all? ( dev-python/torch[${PYTHON_USEDEP}] )
	all? ( dev-python/torchvision[${PYTHON_USEDEP}] )
	all? ( dev-python/torchaudio[${PYTHON_USEDEP}] )
	all? ( dev-python/renumics-spotlight[${PYTHON_USEDEP}] )
	all? ( dev-python/sliceguard[${PYTHON_USEDEP}] )"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"