New subject: segfaults when passing ndarray subclass to ufunc with out=None

Feb. 8, 2009


      I am seeing some really strange behavior when I try to pass an ndarray
subclass and out=None to numpy's ufuncs. This example will reproduce the
problem with svn numpy, the first print statement yields 1 as expected, the
second yields  "<type 'builtin_function_or_method'>" and the third yields a
segmentation fault:

import numpy as np

class MyArray(np.ndarray):

    __array_priority__ = 20

    def __new__(cls):
        return np.asarray(1).view(cls).copy()

    def __repr__(self):
        return 'my_array'

    __str__ = __repr__

    def __mul__(self, other):
        return super(MyArray, self).__mul__(other)

    def __rmul__(self, other):
        return super(MyArray, self).__rmul__(other)

mine = MyArray()
print np.multiply(1, 1, None)
x = np.multiply(mine, mine, None)
print type(x)
print x

Darren

segfaults when passing ndarray subclass to ufunc with out=None

Darren Dale

Darren Dale

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