dimod.embedding.discard

discard(sample, embedding)

Discard the sample if a chain is broken.

Parameters:

• sample (Mapping) – Sample as a dict of form {t: val, …}, where t is a variable in the target graph and val its associated value as determined by a binary quadratic model sampler.
• embedding (dict) – Mapping from source graph to target graph as a dict of form {s: {t, …}, …}, where s is a source-model variable and t is a target-model variable.

Yields:

dict – The unembedded sample if no chains were broken.

Examples

This example unembeds a sample from a target graph that chains nodes 0 and 1 to represent source node a. The first sample has an unbroken chain, the second a broken chain.

>>> import dimod
>>> embedding = {'a': {0, 1}, 'b': {2}}
>>> samples = {0: 1, 1: 1, 2: 0}
>>> next(dimod.embedding.discard(samples, embedding), 'No sample')  
{'a': 1, 'b': 0}
>>> samples = {0: 1, 1: 0, 2: 0}
>>> next(dimod.embedding.discard(samples, embedding), 'No sample')
'No sample'