math/py-numba - The NetBSD Packages Collection

NumPy aware dynamic Python compiler using LLVM

Numba is an Open Source NumPy-aware optimizing compiler for Python
sponsored by Continuum Analytics, Inc.  It uses the
remarkable LLVM compiler infrastructure to compile Python syntax to
machine code.

It is aware of NumPy arrays as typed memory regions and so can speed-up
code using NumPy arrays.  Other, less well-typed code will be translated
to Python C-API calls effectively removing the "interpreter" but not removing
the dynamic indirection.

Numba is also not a tracing JIT.  It *compiles* your code before it gets
run either using run-time type information or type information you provide
in the decorator.

Numba is a mechanism for producing machine code from Python syntax and typed
data structures such as those that exist in NumPy.

Build dependencies

devel/py-setuptools pkgtools/mktools pkgtools/cwrappers

Runtime dependencies

devel/py-llvmlite devel/py-setuptools lang/python311 lang/python311 math/py-numpy math/py-numpy

Binary packages

OSArchitectureVersion
NetBSD 9.0sparc64py310-numba-0.55.2.tgz
NetBSD 9.0sparc64py38-numba-0.55.2.tgz
NetBSD 9.0sparc64py39-numba-0.55.2.tgz

Binary packages can be installed with the high-level tool pkgin (which can be installed with pkg_add) or pkg_add(1) (installed by default). The NetBSD packages collection is also designed to permit easy installation from source.

Available build options

(none)

Known vulnerabilities

The pkg_admin audit command locates any installed package which has been mentioned in security advisories as having vulnerabilities.

Please note the vulnerabilities database might not be fully accurate, and not every bug is exploitable with every configuration.


Problem reports, updates or suggestions for this package should be reported with send-pr.