Factory and registry primitives for selecting BEM solvers and excitation operators.
Project description
mnpbem-base
mnpbem-base provides registry and factory primitives for selecting solver classes from option constraints.
Implemented Formulation
Given a requirement set for candidate class $c$, the selection score is:
$$ \hat{c}=\arg\max_c\sum_j\mathbf{1}[\text{need}_{c,j}\ \text{is satisfied}] $$
This mirrors rule-based class dispatch used in MNPBEM-style solver construction.
Implementation
- Registry logic:
src/mnpbem_base/registry.py - Factory entry points:
src/mnpbem_base/factory.py
Dependencies
numpy>=1.24
Installation
pip install mnpbem-base
Example
Runnable example:
examples/basic_usage.py
Run:
python examples/basic_usage.py
Author
- GALIH RIDHO UTOMO
- g4lihru@students.unnes.ac.id
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