taan-burapol / nuitka-numba-workaround Goto Github PK

Hi, thank you for the great work!
I am trying to compile a script with Nuitka for standalone distribution, and I have 3 functions heavily relying on Numpy that in the Python execution are accelerated with Numba jit compiler (nopython, of course; I tried with forceobj and it was waaaaay slower). I put the three Numpy-Numba functions in a single separate file in the same folder as the main file, and call it with "exec" as in your example scripts (I actually duplicated the "import" statements in a separate file so I can later obfuscate everything with Marshal).
When I compile according to your instructions I obtain execution times similar to vanilla Nuitka-compiled, that is about 6 times slower than Numba jit (3 minutes vs 30 seconds).
For completeness and reproducibility, here is the command I used for compilation:
python -m nuitka myScript.py --follow-imports --standalone --include-module=numba --module-parameter=numba-disable-jit=no --include-data-file=./numba_import.py=numba_import.py --include-data-file=./numba_jit.py=numba_jit.py

As Nuitka was giving a warning about Numba jit being disabled in Nuitka standalone compilation, I added the flag
--module-parameter=numba-disable-jit=no
to the previous command, but in this case the compiled exe is not even running, and I receive errors in the function "error_rewrite" in the file "numba\core\dispatcher.py"

I am running on a Windows 10 system, in a conda environment with Python 3.10.13 and the following packages installed via pip (to avoid MKL bloating):
numpy==1.26.3
scipy==1.11.4
numba==0.59.0
ordered-set==4.1.0
nuitka==2.0.1
simpleitk==2.3.1
numpy-stl==3.1.1

Have you experienced anything similar? Is it possible to run your proposed hybrid compilation approach when imports are required? Or simply something has changed inside Nuitka after your compilation guide?
Thank you in advance.