dimod.quadratic.IntegerArray#

IntegerArray(labels: int | Iterable[Hashable], dtype: dtype[Any] | None | type[Any] | _SupportsDType[dtype[Any]] | str | tuple[Any, int] | tuple[Any, SupportsIndex | Sequence[SupportsIndex]] | list[Any] | _DTypeDict | tuple[Any, Any] = None) → ndarray[source]#

Return a NumPy array of quadratic models, each with a single integer variable.

Parameters:

  • labels – Either an iterable of variable labels or a number. If a number labels are generated using uuid.UUID.

  • dtype – Data type for the returned quadratic models.

Returns:

Array of quadratic models, each with a single integer variable.

Examples

This example creates a quadratic model that represents a clique (fully-connected graph) of three nodes with integer values.

>>> import numpy as np
>>> i = dimod.IntegerArray(["i0", "i1", "i2"])
>>> j = dimod.IntegerArray(["j0", "j1", "j2"])
>>> qm = dimod.quicksum(dimod.quicksum(np.outer(i, j)))
>>> print(qm.to_polystring())
i0*j0 + j0*i1 + j0*i2 + i0*j1 + i1*j1 + i2*j1 + i0*j2 + i1*j2 + i2*j2