A Wednesday 02 December 2009 19:46:42 Robert Ferrell escrigué: > I just built PyTables on OS X 10.6 (Snow Leopard). (Thanks to all for > help from many quarters.) tables.test() ran fine. But > tables.test(heavy=True) gave many errors, all similar to: > > ====================================================================== > ERROR: Testing ``c_int16``.test_h0080 > ---------------------------------------------------------------------- > Traceback (most recent call last): > File "tables/tests/common.py", line 248, in newmethod > return oldmethod(self, *args, **kwargs) > File "tables/tests/test_queries.py", line 358, in test_method > pyvars[colname] = row[acolname] > File "tableExtension.pyx", line 1225, in > tables.tableExtension.Row.__getitem__ > File "tableExtension.pyx", line 132, in > tables.tableExtension.getNestedFieldCache > File "utilsExtension.pyx", line 390, in > tables.utilsExtension.getNestedField > KeyError: 'no such column: c_int16' > > Some of the errors were > > ValueError: field named c_int16 not found. > > Can I ignore this?
Uh, no, you should not. That's weird because I regularly run the complete PyTables test suite in Linux and Windows platforms and you should expect something like (for heavy test mode): """ Ran 7928 tests in 93.628s OK """ [The above was using PyTables 2.1.2 and HDF5 1.8.4, the same as yours] Mmh, the only apparent difference is that I'm using an earlier version of NumPy: NumPy version: 1.4.0.dev7072 and you are using: NumPy version: 1.4.0.dev7542 Could you please install NumPy 1.3.0 (stable) and tell me if it goes better? If you continue to have problems with some tests, maybe something in your machine is going on wrong. In that case, send me the complete output for: $ PYTHONPATH=. python tables/tests/test_all.py --heavy > out 2>&1 Thanks, -- Francesc Alted ------------------------------------------------------------------------------ Join us December 9, 2009 for the Red Hat Virtual Experience, a free event focused on virtualization and cloud computing. Attend in-depth sessions from your desk. Your couch. Anywhere. http://p.sf.net/sfu/redhat-sfdev2dev _______________________________________________ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
