Install this version:
emerge -a =dev-python/numba-0.68.1
If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =dev-python/numba-0.68.1
Or alternatively:
emerge --autounmask-write -a =dev-python/numba-0.68.1
# Copyright 1999-2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
DISTUTILS_EXT=1
DISTUTILS_USE_PEP517=setuptools
PYTHON_COMPAT=( python3_{12..14} )
inherit distutils-r1 optfeature
DESCRIPTION="NumPy-aware dynamic Python compiler using LLVM"
HOMEPAGE="https://numba.pydata.org/
https://github.com/numba/numba"
SRC_URI="https://github.com/numba/numba/archive/${PV}.tar.gz -> ${P}.gh.tar.gz"
LICENSE="0BSD BSD BSD-2 HPND MIT NVIDIA-CUDA PSF-2 PYTHON"
SLOT="0"
KEYWORDS="~amd64 ~arm ~arm64"
IUSE+=" openmp threads"
RESTRICT="bindist mirror"
# Building imports NumPy >=2; runtime supports NumPy >=1.22,<2.6, and
# numba/__init__.py refuses to import on 2.6. verified 2026-09-30
DEPEND+="
>=dev-python/numpy-2.0.0[${PYTHON_USEDEP}]
<dev-python/numpy-2.6[${PYTHON_USEDEP}]
threads? ( >=dev-cpp/tbb-2021.6:= )
"
RDEPEND+="
>=dev-python/llvmlite-0.50.0[${PYTHON_USEDEP}]
<dev-python/llvmlite-0.51[${PYTHON_USEDEP}]
>=dev-python/numpy-1.22[${PYTHON_USEDEP}]
<dev-python/numpy-2.6[${PYTHON_USEDEP}]
threads? ( >=dev-cpp/tbb-2021.6:= )
"
BDEPEND+="
>=dev-python/numpy-2.0.0[${PYTHON_USEDEP}]
<dev-python/numpy-2.6[${PYTHON_USEDEP}]
"
# The built-in CUDA target finds libdevice and libnvvm only via Conda,
# CUDA_HOME/CUDA_PATH or /usr/local/cuda; add Gentoo's /opt/cuda last.
# NUMBA_CUDA_USE_NVIDIA_BINDING=1 still fails: driver.py imports cuda.cuda,
# which cuda-bindings 13 removed. That mode is opt-in; upstream's fix is the
# separate numba-cuda target. verified 2026-10-22
PATCHES=( "${FILESDIR}/${PN}-0.68.0-gentoo-cuda-path.patch" )
distutils_enable_tests unittest
pkg_setup() {
if ! use openmp; then
export NUMBA_DISABLE_OPENMP=1
else
unset NUMBA_DISABLE_OPENMP
fi
if ! use threads; then
export NUMBA_DISABLE_TBB=1
else
unset NUMBA_DISABLE_TBB
export TBBROOT="${EPREFIX}/usr"
fi
}
python_test() {
cd "${BUILD_DIR}/install$(python_get_sitedir)" || die
"${EPYTHON}" -m numba.runtests -v \
numba.tests.test_import \
numba.tests.test_llvm_version_check \
numba.tests.test_usecases || die "tests failed for ${EPYTHON}"
}
pkg_postinst() {
optfeature "compile CUDA code" dev-util/nvidia-cuda-toolkit
}
Manage flags for this package:
euse -i <flag> -p dev-python/numba |
euse -E <flag> -p dev-python/numba |
euse -D <flag> -p dev-python/numba
>=dev-python/numpy-2.0.0[] <dev-python/numpy-2.6[] threads? ( >=dev-cpp/tbb-2021.6:= )
>=dev-python/llvmlite-0.50.0[] <dev-python/llvmlite-0.51[] >=dev-python/numpy-1.22[] <dev-python/numpy-2.6[] threads? ( >=dev-cpp/tbb-2021.6:= )
>=dev-python/numpy-2.0.0[] <dev-python/numpy-2.6[]
| Type | File | Size | Source URLs |
|---|---|---|---|
| DIST | numba-0.68.1.gh.tar.gz | 2945784 bytes | https://github.com/numba/numba/archive/0.68.1.tar.gz |