Deterministic Volume Sampling

[ipendlet]

We need a way to sample volumes in the code deterministically in order to have an expected code output. This should be implemented either as a fixed value (ideally specified by either the minimum or maximum of the portion) or as a seed state of the numpy random sampler. The code will likely replace the existing (rather underwhelming) optunity sampler with a numpy random number generator in qrandom.

There is a case to be made for both the fixed volume (which would help to resolve issue #56) and for the random seed state (would look more like an actual plate of experiments).

In either case this issue (issue #57) should be quickly followed up with a test case to validate the non-googleio processes locally during a debug run. As such the variables/toggles for fixed sampling should likely live in devconfig.py.

[ipendlet]

this can be accomplished by using manual sampling for an expect output. This DOES NOT test mathematica or the other sampling scripts. A likely resolution is to test those modules separately while using the rest of the funcationality in line with manual runs.