# Source code for qiskit_optimization.applications.set_packing

```
# This code is part of Qiskit.
#
# (C) Copyright IBM 2018, 2022.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivative works of this code must retain this
# copyright notice, and modified files need to carry a notice indicating
# that they have been altered from the originals.
"""An application class for the set packing."""
from typing import List, Union, cast
import numpy as np
from docplex.mp.model import Model
from qiskit_optimization.algorithms import OptimizationResult
from qiskit_optimization.problems.quadratic_program import QuadraticProgram
from qiskit_optimization.translators import from_docplex_mp
from .optimization_application import OptimizationApplication
[docs]class SetPacking(OptimizationApplication):
"""Optimization application for the "set packing" [1] problem.
References:
[1]: "Set packing",
https://en.wikipedia.org/wiki/Set_packing
"""
def __init__(self, subsets: List[List[int]]) -> None:
"""
Args:
subsets: A list of subsets
"""
self._subsets = subsets
self._set = []
for sub in self._subsets:
self._set.extend(sub)
self._set = cast(List, np.unique(self._set))
[docs] def to_quadratic_program(self) -> QuadraticProgram:
"""Convert a set packing instance into a
:class:`~qiskit_optimization.problems.QuadraticProgram`
Returns:
The :class:`~qiskit_optimization.problems.QuadraticProgram` created
from the set packing instance.
"""
mdl = Model(name="Set packing")
x = {i: mdl.binary_var(name=f"x_{i}") for i in range(len(self._subsets))}
mdl.maximize(mdl.sum(x[i] for i in x))
for element in self._set:
mdl.add_constraint(
mdl.sum(x[i] for i, sub in enumerate(self._subsets) if element in sub) <= 1
)
op = from_docplex_mp(mdl)
return op
[docs] def interpret(self, result: Union[OptimizationResult, np.ndarray]) -> List[List[int]]:
"""Interpret a result as a list of subsets
Args:
result: The calculated result of the problem
Returns:
A list of subsets whose corresponding variable is 1
"""
x = self._result_to_x(result)
sub = []
for i, value in enumerate(x):
if value:
sub.append(self._subsets[i])
return sub
```