[Numpy-discussion] Please help with subclassing numpy.ndarray

[Sturla Molden]

> def __new__(cls,...)
>      ...
>     (H, edges) = numpy.histogramdd(..)
>     cls.__defaultedges = edges
>
> def __array_finalize__(self, obj):
>     if  not hasattr(self, 'edges'):
>         self.edges = self.__defaultedges

So in order to get an instance attribute, one has to temporarily define it
as a class attribute? What happens if there is a thread switch between
__new__ and __array_finalize__? This design is not thread safe and can
produce strange race conditions.

IMHO, the preferred way to set an instance attribute is to use __init__
method, which is the 'Pythonic' way to do it.

Sturla Molden