dimod.QuadraticModel.reduce_linear¶

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

Apply function of two arguments cumulatively to the linear biases.

Parameters

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

Returns

Result of applying the specified function to the linear biases.

Examples

>>> from operator import add
>>> from dimod import QuadraticModel
>>> qm = QuadraticModel({'x': 0.5, 's': 1, 'i': 2},
...                     {('x', 'i'): 2}, 0.0,
...                     {'x': 'BINARY', 's': 'SPIN', 'i': 'INTEGER'})
>>> qm.reduce_linear(add)
3.5

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