[Numpy-discussion] Array subclassing - question for Travis

[Matthew Brett]

Hi Travis and team,

I am just writing some docs for subclassing, and ran into some
behavior I didn't understand:

In [143]: class A(np.ndarray): pass

In [144]: arr = np.arange(5)

In [145]: obj = arr.copy().view(A)

In [146]: type(obj)
Out[146]: <class '__main__.A'>

In [147]: obj.__array_priority__  # shouldn't this be 1.0 by default
(from the numpy book)?
Out[147]: 0.0

In [148]: type(np.multiply(arr, obj)) # this is what I expected
Out[148]: <class '__main__.A'>

In [149]: type(np.multiply.outer(arr, obj)) # this is not - I expected
class A again
Out[149]: <type 'numpy.ndarray'>

In [151]: class A(np.ndarray): __array_priority__ = 20.0 # setting
array priority does not affect behavior

In [152]: obj = arr.copy().view(A)

In [153]: type(np.multiply.outer(arr, obj))
Out[153]: <type 'numpy.ndarray'>

Is this what you would expect?  Thanks for clarification, and
apologies if I misunderstood...

Matthew