Robert, There is no error on python side but on flex client which is "*Channel*.* Call*.*Failed*" faultDetail="NetConnection.Call.Failed: *HTTP*: Status 503"
Here is the documentation for type mapping flex vs python: http://pyamf.org/architecture/typemap.html, pyamf takes python data types so I am not sure if numpy dtypes will work with it or not, but it working on Mac OS X. Thanks Vishal Rana On Sun, Jun 13, 2010 at 6:04 PM, Robert Kern <[email protected]> wrote: > On Sun, Jun 13, 2010 at 19:52, Vishal Rana <[email protected]> wrote: > > I created a record array (from strings and floats) with no dtype defined > as: > > ra = np.core.records.fromrecords(sq_list, names=("a", "b", "c")) > > ra.a is found to be of type numpy.float64, when I serialize it using > pyamf > > under Mac OS X it works great but under ubuntu 10.04 it fails. Looks like > > serialization is failing for type numpy.float64. > > Please don't just say that something fails. Show us exactly what you > did (copy-and-paste a minimal, but complete example of the code that > fails) and show us exactly what errors you get (copy-and-paste the > tracebacks). > > Since I'm sure most of us here aren't familiar with the details of > PyAMF, perhaps you can read its documentation or its code to determine > exactly how it is trying to serialize objects and tell us that. Is it > using pickle? Is it using its own scheme? > > > Is the any work around, I > > was trying to set dtype=object is that ok? > > Probably not what you want. > > > Also how can I set same dtype (for eg. object) for all a, b, and c? > > In [3]: x = np.rec.fromrecords([('string', 10, 15.5)], names=['a', 'b', > 'c']) > > In [4]: x > Out[4]: > rec.array([('string', 10, 15.5)], > dtype=[('a', '|S6'), ('b', '<i4'), ('c', '<f8')]) > > In [5]: x.astype(np.dtype([('a', object), ('b', object), ('c', object)])) > Out[5]: > rec.array([('string', 10, 15.5)], > dtype=[('a', '|O4'), ('b', '|O4'), ('c', '|O4')]) > > -- > Robert Kern > > "I have come to believe that the whole world is an enigma, a harmless > enigma that is made terrible by our own mad attempt to interpret it as > though it had an underlying truth." > -- Umberto Eco > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
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