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a = np.arange(24).reshape((3, 4,2))
obj = distributed_data_object(a)

Semi-advanced indexing

a[(2,1,1),1]

yields

array([[18, 19],
   [10, 11],
   [10, 11]])

The ``indexinglist'' scheme in d2o expects either scalars or numpy arrays as tuple elements and therefore:

obj[(2,1,1),1] -> AttributeError                            

However,

obj[np.array((2,1,1)), 1] works.

Solution: Parse the elements and in doubt cast them to numpy arrays.