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A Numpy and Numba based Python library for solving Constraint Satisfaction Problems over finite domains

Project description

pypi version numba version numpy version tests doc license

TLDR

NUCS is a Python library for solving Constraint Satisfaction and Optimization Problems. Because it is 100% written in Python, NUCS is easy to install and use. NUCS is also very fast because it is powered by Numpy and Numba.

Documentation

Check out NUCS documentation.

With NUCS, in a few seconds you can ...

Compute the 92 solutions to the BIBD(8,14,7,4,3) problem:

{
    'OPTIMIZER_SOLUTION_NB': 0,
    'PROBLEM_FILTER_NB': 2797,
    'PROBLEM_PROPAGATOR_NB': 462,
    'PROBLEM_VARIABLE_NB': 504,
    'PROPAGATOR_ENTAILMENT_NB': 36977,
    'PROPAGATOR_FILTER_NB': 564122,
    'PROPAGATOR_FILTER_NO_CHANGE_NB': 534436,
    'PROPAGATOR_INCONSISTENCY_NB': 1307,
    'SOLVER_BACKTRACK_NB': 1398,
    'SOLVER_CHOICE_DEPTH': 41,
    'SOLVER_CHOICE_NB': 1398,
    'SOLVER_SOLUTION_NB': 92
}

Demonstrate that the optimal 10-marks Golomb ruler length is 55:

{
    'OPTIMIZER_SOLUTION_NB': 10,
    'PROBLEM_FILTER_NB': 22204,
    'PROBLEM_PROPAGATOR_NB': 82,
    'PROBLEM_VARIABLE_NB': 45,
    'PROPAGATOR_ENTAILMENT_NB': 416934,
    'PROPAGATOR_FILTER_NB': 2145268,
    'PROPAGATOR_FILTER_NO_CHANGE_NB': 1129818,
    'PROPAGATOR_INCONSISTENCY_NB': 11065,
    'SOLVER_BACKTRACK_NB': 11064,
    'SOLVER_CHOICE_DEPTH': 9,
    'SOLVER_CHOICE_NB': 11129,
    'SOLVER_SOLUTION_NB': 10
 }

Find all 14200 solutions to the 12-queens problem:

{
    'OPTIMIZER_SOLUTION_NB': 0,
    'PROBLEM_FILTER_NB': 262011,
    'PROBLEM_PROPAGATOR_NB': 3,
    'PROBLEM_VARIABLE_NB': 36,
    'PROPAGATOR_ENTAILMENT_NB': 0,
    'PROPAGATOR_FILTER_NB': 1910609,
    'PROPAGATOR_FILTER_NO_CHANGE_NB': 631079,
    'PROPAGATOR_INCONSISTENCY_NB': 116806,
    'SOLVER_BACKTRACK_NB': 131005,
    'SOLVER_CHOICE_DEPTH': 10,
    'SOLVER_CHOICE_NB': 131005,
    'SOLVER_SOLUTION_NB': 14200
}

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