[NumPy-Tickets] [NumPy] #1977: assignment of scalar subclass of int to a slice of of a recarray field of np.object silently upcasts

[NumPy Trac]

#1977: assignment of scalar subclass of int to a slice of of a recarray field of
np.object silently upcasts
---------------------------------------+------------------------------------
 Reporter:  hughsw                     |       Owner:  somebody   
     Type:  defect                     |      Status:  new        
 Priority:  normal                     |   Milestone:  Unscheduled
Component:  numpy.core                 |     Version:  1.6.0      
 Keywords:  scalar field slice assign  |  
---------------------------------------+------------------------------------
 {{{
 # Demonstrates a Numpy bug whereby assigning from a scalar that is a
 subclass of
 # int into a slice of a recarray field of type np.object will lose the
 subclass info

 import numpy as np

 def numpy_bug():
     """
     >>> print 'np.version.version', np.version.version
     np.version.version 1.6.1

     >>> numpy_bug()
     [('foo', '|O8')]
     [<class '__main__.MyInt'>]   (52,)
     [<class '__main__.MyInt'>]   (53,)
     [<type 'int'>]   (100,)
     [<type 'int'>]   (100,)
     """

     # named field of dtype np.object
     rec_object_t = np.dtype([('foo', np.object)])

     # subclass of int
     class MyInt(int): pass

     # set the items, using two forms of broadcasting
     items = np.empty((4,), dtype=rec_object_t)

     # this works
     items['foo'][:2] = map(MyInt, xrange(52, 54))

     # this fails: it loses the MyInt type, silently casting to int even
 though the
     # 'foo' field slot is of dtype np.object
     items['foo'][2:] = MyInt(100)

     print rec_object_t
     for item in items: print map(type, item), ' ', item

 import doctest
 doctest.testmod()

 }}}

-- 
Ticket URL: <http://projects.scipy.org/numpy/ticket/1977>
NumPy <http://projects.scipy.org/numpy>
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