def __init__(self, child_sampler, **embedding_parameters):
if not isinstance(child_sampler, dimod.Structured):
raise dimod.InvalidComposition("MinorMinerEmbeddingComposite should only be applied to a Structured sampler")
self._children = [child_sampler]
self._embedding = None
self._child_response = None
self._embedding_parameters = embedding_parameters
def __init__(self, child_sampler, embedding):
if not isinstance(child_sampler, dimod.Structured):
raise dimod.InvalidComposition(
"EmbeddingComposite should only be applied to a Structured sampler"
)
self.children = [child_sampler]
# Derive the structure of our composed sampler from the target graph and the embedding
source_adjacency = dimod.embedding.target_to_source(
child_sampler.adjacency, embedding)
try:
nodelist = sorted(source_adjacency)
edgelist = sorted(_adjacency_to_edges(source_adjacency))
except TypeError:
# python3 does not allow sorting of unlike types, so if nodes have
# different type names just choose an arbitrary order
nodelist = list(source_adjacency)
edgelist = list(_adjacency_to_edges(source_adjacency))
self.nodelist = nodelist
self.edgelist = edgelist
self.adjacency = source_adjacency
self.parameters = parameters = child_sampler.parameters.copy()
parameters['chain_strength'] = []
parameters['chain_break_fraction'] = []
self.properties = {'child_properties': child_sampler.properties.copy()}
self.embedding = self.properties['embedding'] = embedding
def _set_child_related_init(self, child_sampler):
if not isinstance(child_sampler, dimod.Structured):
raise dimod.InvalidComposition("{} should only be applied to a Structured sampler"
.format(type(self).__name__))
self.children = [child_sampler]
self.parameters = parameters = self.child.parameters.copy()
parameters['chain_strength'] = []
parameters['chain_break_fraction'] = []
self.properties = {'child_properties': self.child.properties.copy()}
def __init__(self,
child_sampler,
layout=None,
embedding_method=minorminer,
candidates_method=diffusion_placer,
architecture_method=dw2000q_graph,
embedding_parameters={},
candidates_parameters={}):
if not isinstance(child_sampler, dimod.Structured):
raise dimod.InvalidComposition(
"LayoutAwareEmbeddingComposite should only be applied to a Structured sampler"
)
self._children = [child_sampler]
self._layout = layout
self._embedding = None
self._embedding_method = embedding_method
self._candidates_method = candidates_method
self._architecture_method = architecture_method
self._embedding_parameters = embedding_parameters
self._candidates_parameters = candidates_parameters
def __init__(self, child_sampler):
if not isinstance(child_sampler, dimod.Structured):
raise dimod.InvalidComposition(
"EmbeddingComposite should only be applied to a Structured sampler"
)
self._children = [child_sampler]