# automatically generated by g-sorcery # please do not edit this file EAPI=8 REALNAME="${PN}" LITERALNAME="${PN}" REALVERSION="${PV}" DIGEST_SOURCES="yes" PYTHON_COMPAT=( python{3_11,3_12,3_13,3_14} ) DISTUTILS_USE_PEP517=standalone inherit python-r1 gs-pypi DESCRIPTION="OML is a PyTorch-based framework to train and validate the models producing high-quality embeddings." HOMEPAGE="https://github.com/OML-Team/open-metric-learning" LICENSE="Apache-2.0" SRC_URI="https://files.pythonhosted.org/packages/source/${REALNAME::1}/${REALNAME}/${REALNAME//-/_}-${REALVERSION}.tar.gz" SOURCEFILE="${REALNAME//-/_}-${REALVERSION}.tar.gz" RESTRICT="test" SLOT="0" KEYWORDS="~amd64 ~x86" IUSE="all audio nlp pipelines test" DEPENDENCIES="dev-python/torch[${PYTHON_USEDEP}] =dev-python/pillow-8.2[${PYTHON_USEDEP}] >=dev-python/pandas-1.0[${PYTHON_USEDEP}] >dev-python/matplotlib-3.5.2[${PYTHON_USEDEP}] >=dev-python/validators-0.18.0[${PYTHON_USEDEP}] dev-python/gdown[${PYTHON_USEDEP}] dev-python/tensorboard[${PYTHON_USEDEP}] nlp? ( dev-python/transformers[${PYTHON_USEDEP}] ) audio? ( ~dev-python/soundfile-0.12.1[${PYTHON_USEDEP}] ) audio? ( dev-python/torchaudio[${PYTHON_USEDEP}] ) audio? ( dev-python/ipython[${PYTHON_USEDEP}] ) test? ( >=dev-python/pytest-7.2[${PYTHON_USEDEP}] ) test? ( dev-python/pre-commit[${PYTHON_USEDEP}] ) test? ( >=dev-python/python-dotenv-0.17.0[${PYTHON_USEDEP}] ) test? ( dev-python/pyright[${PYTHON_USEDEP}] ) pipelines? ( dev-python/pytorch-lightning[${PYTHON_USEDEP}] ) pipelines? ( dev-python/hydra-core[${PYTHON_USEDEP}] ) all? ( dev-python/transformers[${PYTHON_USEDEP}] ) all? ( ~dev-python/soundfile-0.12.1[${PYTHON_USEDEP}] ) all? ( dev-python/torchaudio[${PYTHON_USEDEP}] ) all? ( dev-python/ipython[${PYTHON_USEDEP}] ) all? ( dev-python/neptune[${PYTHON_USEDEP}] ) all? ( dev-python/wandb[${PYTHON_USEDEP}] ) all? ( dev-python/mlflow[${PYTHON_USEDEP}] ) all? ( dev-python/clearml[${PYTHON_USEDEP}] ) all? ( dev-python/grad-cam[${PYTHON_USEDEP}] ) all? ( dev-python/pytorch-lightning[${PYTHON_USEDEP}] ) all? ( dev-python/hydra-core[${PYTHON_USEDEP}] )" BDEPEND="${DEPENDENCIES}" RDEPEND="${DEPENDENCIES}"