Alexander Condello

Right now, in order to add bias to an existing interaction, one needs to `dqm.set_linear(v, dqm.get_linear(v) + 1)` which is unwieldy. Also in the quadratic case it does two log(n)...

Cannot concatenate sample sets of unlike types

1

minimal failing example: ``` import dimod import numpy as np sample = [-1, 1, 1] ss_int = dimod.SampleSet.from_samples(np.asarray(sample, dtype=np.int), energy=6, vartype='SPIN') ss_float = dimod.SampleSet.from_samples(np.asarray(sample, dtype=np.float), energy=6, vartype='SPIN') dimod.sampleset.concatenate([ss_int, ss_float]) ```

This change was made for `DQM.to_numpy_vectors` in https://github.com/dwavesystems/dimod/pull/707

BQM.as_vartype and SampleSet.as_vartype or similar

5

`BQM.change_vartype` and `SampleSet.change_vartype` either always copy or always act in place. It would be useful to be able to cast the BQM/SampleSet to an appropriate vartype, _copying only in the...

Building on https://github.com/dwavesystems/dimod/pull/627, it would be nice to have the ability to just get the relevant BQMs. Something like ``` for bqm in iter_test_bqm(): pass ``` in the case that...

SoftConstraint subclass of Constraint

1

**Application** Right now all the constraints are soft constraints when converted to BQMs. It would be good though to formalize that and allow users to specify the strength of their...

**Application** It would be good to also support weighted conjunctive normal form. Requires #73

**Application** Given the 'usual' ways to generate constraints, the pattern ``` csp.add_constraint(and_gate(['a', 'b', 'c'])) ``` seems more astonishing than ``` csp.add_constraint(and_gate, ['a', 'b', 'c']) ``` One anticipated problem is that...

**Application** Sometimes I want to create a constraint for which I already know the values for some of the variables. I can create the constraint and then immediately fix the...