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Factory and registry primitives for selecting BEM solvers and excitation operators.

Project description

mnpbem-base

PyPI version Python versions Publish 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

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