[Numpy-tickets] [NumPy] #821: Numpy 1.1.0 broken for Python 2.3, because of unsupported dictionary update

NumPy numpy-tickets@scipy....
Mon Aug 25 04:25:12 CDT 2008


#821: Numpy 1.1.0 broken for Python 2.3, because of unsupported dictionary update
-----------------------+----------------------------------------------------
 Reporter:  dhendriks  |        Owner:  pearu 
     Type:  defect     |       Status:  closed
 Priority:  high       |    Milestone:  1.1.2 
Component:  numpy.ma   |      Version:        
 Severity:  major      |   Resolution:  fixed 
 Keywords:             |  
-----------------------+----------------------------------------------------
Comment (by dhendriks):

 Replying to [comment:26 oliphant]:
 > I just applied the fix in r5679.  Can somebody test it on Python 2.3?

 The fix works. I no longer have any import errors. See the attached numpy-
 test-r5694.out file for the current output.

 I only have one question left: "What do the 'S' characters between all the
 dots mean?" (you have to scroll all the way to the right)

 {{{
 (...)
   Found 6/6 tests for numpy.tests.test_ctypeslib
 ..........................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................S.S.....
 ----------------------------------------------------------------------
 Ran 1200 tests in 5.377s
 (...)
 }}}

 Do they mean skipped? And if so, what did it skip and why? Is skipping
 tests a problem? If it doesn't mean skipped, what does it mean?

-- 
Ticket URL: <http://scipy.org/scipy/numpy/ticket/821#comment:28>
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