[Numpy-discussion] Infinite recursion in numpy called from swig generated code

Robert Lupton rhl at astro.princeton.edu
Tue Apr 18 13:07:04 EDT 2006


The latest version of swig (1.3.28 or 1.3.29) has broken my
multiple-inheritance-from-C-and-numpy application; more specifically,
it generates an infinite loop in numpy-land.  I'm using numpy (0.9.6),
and here's the offending code.  Ideas anyone? I've pasted the crucial
part of numpy.lib.UserArray onto the end of this message (how do I know?
because you can replace the "from numpy.lib.UserArray" with this, and
the problem persists).

#####################################################
from numpy.lib.UserArray import *

import types
class myImage(types.ObjectType):
     def __init__(self, *args):
         this = None
         try: self.this.append(this)
         except: self.this = this

class Image(UserArray, myImage):
     def __init__(self, *args):
         myImage.__init__(self, *args)
#####################################################

The symptoms are:

	from recursionBug import *; Image(myImage())
------------------------------------------------------------
Traceback (most recent call last):
   File "<stdin>", line 1, in ?
   File "recursionBug.py", line 32, in __init__
     myImage.__init__(self, *args)
   File "recursionBug.py", line 26, in __init__
     except: self.this = this
   File "/sw/lib/python2.4/site-packages/numpy/lib/UserArray.py",  
line 187, in __setattr__
     self.array.__setattr__(attr, value)
   File "/sw/lib/python2.4/site-packages/numpy/lib/UserArray.py",  
line 193, in __getattr__
     return self.array.__getattribute__(attr)
...
   File "/sw/lib/python2.4/site-packages/numpy/lib/UserArray.py",  
line 193, in __getattr__
     return self.array.__getattribute__(attr)
   File "/sw/lib/python2.4/site-packages/numpy/lib/UserArray.py",  
line 193, in __getattr__
     return self.array.__getattribute__(attr)
RuntimeError: maximum recursion depth exceeded


The following stripped down piece of numpy seems to be the problem:
     class UserArray(object):
         def __setattr__(self,attr,value):
             try:
                 self.array.__setattr__(attr, value)
             except AttributeError:
                 object.__setattr__(self, attr, value)

         # Only called after other approaches fail.
         def __getattr__(self,attr):
             return self.array.__getattribute__(attr)


				R





More information about the NumPy-Discussion mailing list