Provide np.broadcast_arrays replacement that allows subclasses
Determine whether to overload by testing for the actual problem
Add numpy license
Move from astropy.utils to astropy.utils.compat
Add documentation, and make things confirm to it
Do not import test function in compat.numpy; associated changes
Use final numpy version, use it in coordinates, add changelog entry
Only import what's necessary, slight modification of instructions.
Initial MaskedArray substitute and most basic tests
Add __setitem__, ensuring the setting of the underlying class gets used
Further changes to get both setter and getter to work properly
Extend test to Distance
Path to allow Quantity.copy(order); add numpy PRs to ma.py
Ignore str, repr if fixed numpy version is used
Adjust Angle.to_string so that it can deal with masked_print_option
Also test Longitude as a baseclass
Rewrite ma with if BUGnnnn clauses; adding baseclass arithmetic
Ensure multiply/divide deal with units correctly
Let Quantity.__array__* modes go super if superclass has them
First mixin tests