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arguments and pass them to the numpy function if applicable. That way, users get
the full flexibility of the numpy API on those particular methods AND get the
added benefit that the result has the correct units (and it all runs fast).

it.  Not only that, I got this FutureWarning:

/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/simtk/unit/quantity.py:170:
FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.
  if value == None:

sqrt of the variance), and average, returning a Quantity with the proper units.

This should be reasonably efficient, as it takes advantage of numpy-accelerated
methods if they're present.

Change doctests to reflect better preservation of tuples in collections of collections.
Note that outer container is still converted to list...