Does anyone know why __array_wrap__ is not called for subclasses during
arithmetic operations where an iterable like a list or tuple appears to the
right of the subclass? When I do "mine*[1,2,3]", array_wrap is not called
and I get an ndarray instead of a MyArray. "[1,2,3]*mine" is fine, as is
"mine*array([1,2,3])". I see the same issue with division, addition, etc.
Here is a demonstration, observed with svn 6456:
import numpy as np
class MyArray(np.ndarray):
__array_priority__ = 20
def __new__(cls):
return np.asarray(1).view(cls).copy()
def __array_wrap__(self, obj, context=None):
print 'array wrap:', self, obj, context
return obj.view(type(self))
def __str__(self):
return 'MyArray(%s)'%super(MyArray,self).__str__()
mine = MyArray()
print 3*mine
print mine*3
print [1,2,3]*mine
print mine*[1,2,3]
print
print 3/mine
print mine/3
print [1,2,3]*mine
print mine*[1,2,3]
print
print 3+mine
print mine+3
print [1,2,3]+mine
print mine+[1,2,3]
print
print 3/mine
print mine/3
print [1,2,3]/mine
print mine/[1,2,3]
print
print 3**mine
print mine**3
print [1,2,3]**mine
print mine**[1,2,3]
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