When using ndarray.squeeze, a view is returned, which means you can do the
follow (somewhat-contrived) operation:
>>> def fill_contrived(a):
a.squeeze()[...] = 2
return a
>>> fill_contrived(np.array([1]))
array(2)
However, when tried with a masked array, this can fail, breaking liskov
subsitution:
>>> fill_contrived(np.ma.array([1], mask=[True]))
MaskError: Cannot alter the masked element.
This fails because squeeze breaks the contract of returning a view, instead
deciding sometimes to return masked.
There is a patch that fixes this in gh-9432
<https://github.com/numpy/numpy/pull/9432> - however, by necessity it
breaks any existing code that uses m_arr.squeeze() is np.ma.masked.
Is this too breaking a change?
Eric
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