dimod.QuadraticModel.reduce_quadratic¶

QuadraticModel.reduce_quadratic(function: collections.abc.Callable, initializer: Optional[Union[float, numpy.floating, numpy.integer]] = None) → Any[source]¶

Apply function of two arguments cumulatively to the quadratic biases.

Parameters

function – Function of two arguments to apply to the quadratic biases.
initializer – Prefixed in the calculation to the iterable containing the quadratic biases or used as the default if no quadratic biases are set in the quadratic model.

Returns

Result of applying the specified function to the quadratic biases.

Examples

>>> from dimod import QuadraticModel
>>> qm = QuadraticModel({'x': 0.5, 's': 1, 'i': 2},
...                     {('x', 'i'): 2, ('s', 'i'): 3}, 0.0,
...                     {'x': 'BINARY', 's': 'SPIN', 'i': 'INTEGER'})
>>> qm.reduce_quadratic(min)
2.0

For information on the related functional programming method see functools.reduce().