dimod.binary.BinaryQuadraticModel.resize#

BinaryQuadraticModel.resize(n: int)[source]#

Resize a binary quadratic model to the specified number of variables.

Parameters:

n – Number of variables in the resized model. If n is smaller than the current number of variables, variables are removed; if larger, variables are added.

Returns:

Difference between the number of variables in the resized model

and previous model.

Return type:

int

Examples

>>> bqm = dimod.BinaryQuadraticModel({"a": 1, "b": 2}, {}, 0, "BINARY")
>>> bqm.resize(4)
2
>>> bqm.variables
Variables(['a', 'b', 2, 3])
>>> bqm.resize(3)
-1
>>> bqm.variables
Variables(['a', 'b', 2])