dimod.QuadraticModel.energy#

QuadraticModel.energy(sample, dtype=None) → float | floating | integer[source]#

Determine the energy of the given sample.

Parameters:

sample (samples_like) – Raw sample. samples_like is an extension of NumPy’s array_like structure. See as_samples().
dtype – Desired NumPy data type for the energy. Defaults to float64.

Returns:

Energy for the sample.

Examples

>>> from dimod import QuadraticModel, Binary
>>> qm = QuadraticModel()
>>> qm.add_variables_from('BINARY', ['x', 'y'])
>>> qm.add_quadratic('x', 'y', -2)
>>> qm.energy([{'x': 1, 'y': 1}])
-2.0