[BUG] Installation fails on Apple Silicon (ARM) Mac — pyboolnet BNetToPrime binary incompatible

[eltonengkilde]

Environment

• macOS (Apple Silicon / ARM M-series chip)
• Python 3.13 (Anaconda)
• BoolDog 0.1.0 installed via pip

Problem
BoolDog cannot be used on Apple Silicon Macs because pyboolnet ships
an Intel-only binary (BNetToPrime_mac64) that crashes immediately with:

OSError: [Errno 86] Bad CPU type in executable:
'.../pyboolnet/binaries/mac64/BNetToPrime/BNetToPrime_mac64'

This error is raised as soon as any BoolDogModel is instantiated,
making the package completely unusable on ARM hardware.

Steps to reproduce
pip install booldog

Then in Python:
import booldog
nodes = [booldog.classes.BoolDogNode(identifier='A', rule='B'),
booldog.classes.BoolDogNode(identifier='B', rule='A')]
m = booldog.BoolDogModel(nodes) # crashes here

Expected behaviour
Model instantiation should work on Apple Silicon.

Possible fix
pyboolnet would need to ship an ARM-native binary for BNetToPrime,
or BoolDog could document a workaround (e.g. running under Rosetta 2,
or using a Linux/Docker environment).

Apple Silicon Macs are now the standard hardware for Mac users,
so this affects a large portion of the potential user base. Do you have any other idea of how to work around this problem?