# 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="A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation, depth maps, and optical flow."

HOMEPAGE="https://github.com/google-research/kubric"
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=""
DEPENDENCIES="dev-python/apache-beam[${PYTHON_USEDEP}]
	dev-python/bidict[${PYTHON_USEDEP}]
	dev-python/dataclasses[${PYTHON_USEDEP}]
	dev-python/etils[${PYTHON_USEDEP}]
	dev-python/cloudml-hypertune[${PYTHON_USEDEP}]
	dev-python/google-cloud-storage[${PYTHON_USEDEP}]
	dev-python/imageio[${PYTHON_USEDEP}]
	dev-python/munch[${PYTHON_USEDEP}]
	>=dev-python/numpy-1.17[${PYTHON_USEDEP}]
	dev-python/pandas[${PYTHON_USEDEP}]
	dev-python/pypng[${PYTHON_USEDEP}]
	dev-python/pyquaternion[${PYTHON_USEDEP}]
	dev-python/python-Levenshtein[${PYTHON_USEDEP}]
	dev-python/scikit-learn[${PYTHON_USEDEP}]
	dev-python/singledispatchmethod[${PYTHON_USEDEP}]
	dev-python/tensorflow[${PYTHON_USEDEP}]
	dev-python/tensorflow-datasets[${PYTHON_USEDEP}]
	dev-python/traitlets[${PYTHON_USEDEP}]
	dev-python/trimesh[${PYTHON_USEDEP}]"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"