mpmmine 0.0.3.20260714

A Python package for accessing the MPMMine dataset

mpmmine-py: A Python package for accessing the MPMMine dataset

The mpmmine-py library provides a Python API for the MPMMine benchmark dataset. By leveraging native Python structures, it simplifies script development and facilitates seamless integration of the dataset into larger Python projects. MPMMine is a standardized dataset of benchmark problems for Mathematical Programming model mining problems. For the details on the dataset, see the corresponding repository.

Getting started

Installation

pip install mpmmine

Usage

from mpmmine import MPMMine
from pathlib import Path

mpmmine = MPMMine(Path("~/path/to/MPMMine").expanduser())

print("Available benchmarks and their statistics: ")
for problem in mpmmine.problems:
    for model in problem.models:
        for instance in model.instances:
            print(f"{instance.full_id}: {len(list(instance.solutions))} solutions, and " +
                  f"{len(list(instance.non_solutions))} non-solutions")

print("A reference MiniZinc model for benchmark P016M001:")
model = mpmmine["MPMMine-P016M001"]
print(model.mzn)  # read MiniZinc code

print("Here's the problem description in natural text:")
print(model.get_description("D001").markdown)  # read Markdown

print("Here's another description read using full artifact id:")
print(mpmmine["MPMMine-P016M001D002"].markdown)  # read Markdown

print("Here's I001 instance (model parameters):")
print(model.get_instance("I001").dzn)  # read MiniZinc data 

print("Here's some solutions (variable values):")
for i, solution in enumerate(mpmmine["MPMMine-P016M001I001"].solutions):
    if i >= 3:
        break
    print(f"% {solution.full_id}:\n{solution.dzn}")

print("... and non-solutions:")
for i, non_solution in enumerate(mpmmine["MPMMine-P016M001I001"].non_solutions):
    if i >= 3:
        break
    print(f"% {non_solution.full_id}:\n{non_solution.dzn}")