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Update random for py3

Python random stdlib has deprecated .jumpahead.
Numpy.random is being updated (formerly randomgen),
providing method recommendations for parallelisable monty-
carlo simulations.

Outstanding issues:
 - The track generation still appears to invoke np.random.normal
   during the main loop, which is likely a bug (defeating
   repeatability and parallelisation-independence).
   (Should replace with another call on PRNG object.)
 - Could update track generation to directly use random
   generator, rather than obfuscating with wrapper named
   like standard module. (No additional capabilities required.)
 - Should pass differently-initialised PRNGs explicitly,
   rather than rely on process-local global-state mutations.
   (This will support repeatability with multi-threading.)
 - lognormvariate currently implements a non-standard definition,
   and is only called once (with constant arguments). Should
   migrate to use conventional formulation.
 - Some unused functions (Cauchy and NCT) have been commented out
   pending removal. (To simplify future maintenance/refactors.)

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