On Thu, May 30, 2013 at 9:21 PM, Aldcroft, Thomas
<aldcr...@head.cfa.harvard.edu> wrote:
> I'm seeing some behavior that I can't understand when creating a numpy array
> of Python objects. Basically it seems that np.array() is calling the object
> __getitem__ method for one object class but not another class, and I can't
> understand the difference.
>
> Here is an example, starting with a simple class where __getitem__ does NOT
> get called:
>
>>>> class Foo(object):
> ... def __getitem__(self, item):
> ... return 1/0
> ... def __len__(self, item):
> ... return 1
> ...
>>>> f = Foo()
>>>> x = np.array([f])
>>>> x
> array([<__main__.Foo object at 0x11a1ff10>], dtype=object)
>
> Now move to the complicated class (astropy.time.Time) which has a lot of
> stuff in it (including __new__, __init__, and __len__ methods, but initially
> no __getitem__), but is otherwise an ordinary class derived from object.
> This works as expected:
>
>>>> from astropy.time import Time
>>>> t = Time('2001-01-01', scale='utc')
>>>> x = np.array([t])
>>>> x
> array([2001-01-01 00:00:00.000], dtype=object)
>
> Now inject a __getitem__ that will fail and try again:
>
>>>> Time.__getitem__ = lambda self, item: 1 / 0
>>>> x = np.array([t])
> ERROR: ZeroDivisionError: integer division or modulo by zero
>
> Any ideas on what is driving this difference in behavior? BTW, the value of
> item in the latter case is 0.
What is len(t) in the latter case?
--
Robert Kern
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