dwave.optimization.symbols.DisjointLists

class DisjointLists

Disjoint-lists decision-variable symbol.

Examples

This example adds a disjoint-lists symbol to a model.

>>> from dwave.optimization.model import Model
>>> model = Model()
>>> l = model.disjoint_lists(primary_set_size=10, num_disjoint_lists=2)
>>> type(l[0])
<class 'dwave.optimization.symbols.DisjointLists'>

__init__(*args, **kwargs)

Methods

__init__(*args, **kwargs)
equals(other)	Compare whether two nodes are identical.
expired()
has_state([index])	Return the initialization status of the indexed state.
iter_predecessors()	Iterate over a node's predecessors in the model.
iter_successors()	Iterate over a node's successors in the model.
maybe_equals(other)	Compare to another node.
num_disjoint_lists()	Return the number of disjoint lists in the symbol.
reset_state(index)	Reset the state of a node and any successor symbols.
set_state(index, state)	Set the state of the disjoint-lists symbol.
shares_memory(other)	Determine if two symbols share memory.
state_size()	Return an estimated size, in bytes, of the node's state.
topological_index()	Topological index of the node.

Attributes

model