• Add initial support for Numba compilation: asm, demangling, execution

Numba wraps Python functions in Dispatcher objects. Each dispatcher contains zero or more compiled argument-type-indexed overloads of its function. We import the user's code as a module, and emit the code from all overloads of all dispatchers that the module publicly exposes.

Name mangling is odd in Numba. It uses a similar syntax to C++, but also encodes non-symbol (r"[^a-z0-9_]") characters as _%02x. This encoding yields valid identifier names, so it is not strictly invertible. Here, I have hard-coded some replacements to decode some common cases.

To do

• Answer questions of [COMPILER REQUEST]: Numba #5591.

• Install in https://github.com/compiler-explorer/infra

Locally, I have installed a virtual environment with

python3.11 -m venv venv_numba
venv_numba/bin/python -m pip install numba==0.58.0 llvmlite==0.41.0 scipy==1.11.3 numpy==1.25.2
# (I recommend pinning versions because Python packages regularly violate SemVer, and CE wants long-term reproducibility.)

and configure its use with

# compiler-explorer/etc/config/numba.local.properties
compilers=&numba
group.numba.compilers=numba58
compiler.numba58.exe=/home/rupt/venv_numba/bin/python3.11

• Automatically run python tests?

Locally, I run this test suite with

/home/rupt/venv_numba/bin/python3.11 -m unittest etc/scripts/test_numba_wrapper.py