# Copyright 1999-2026 Gentoo Authors # Distributed under the terms of the GNU General Public License v2 EAPI=8 DISTUTILS_USE_PEP517=no DISTUTILS_EXT=1 PYTHON_COMPAT=( python3_{12..14} ) DISTUTILS_SINGLE_IMPL=1 inherit distutils-r1 MY_PN=${PN%-bin} MY_PV=${PV} MY_WHEEL_AMD64="${MY_PN//-/_}-${MY_PV}-py3-none-manylinux2014_x86_64.whl" MY_WHEEL_ARM64="${MY_PN//-/_}-${MY_PV}-py3-none-manylinux2014_aarch64.whl" DESCRIPTION="Run:ai's fast multi-tensor PyTorch model streamer (binary wheel)" HOMEPAGE=" https://github.com/run-ai/runai-model-streamer https://pypi.org/project/runai-model-streamer/ " SRC_URI=" amd64? ( https://files.pythonhosted.org/packages/e3/af/f25776903164861b0c18149336abe89426efbd7993b92bf18b7f188345ca/${MY_WHEEL_AMD64} ) arm64? ( https://files.pythonhosted.org/packages/39/02/a016c73fda016c119fed3ee776605694217e45eca9ac8edf0260b6c4c295/${MY_WHEEL_ARM64} ) " S="${WORKDIR}" LICENSE="Apache-2.0" SLOT="0" KEYWORDS="-* ~amd64 ~arm64" # Upstream publishes architecture-specific manylinux wheels alongside a # Bazel-based source build. The object-storage extras are split into separate # upstream wheels that are not packaged yet; local-file loading works without # them. RDEPEND=" >=sci-ml/pytorch-2.0.0[${PYTHON_SINGLE_USEDEP}]