A Friday 23 April 2010 16:18:16 Lucas Sinclair esgrigué: >With pleasure. Here are the results: > >[sincl...@sv-17-019 ~]$ python > /usr/lib/python2.6/site-packages/tables-2.1.2-py2.6-linux-x86_64.egg/tables >/tests/test_basics.py OldFlavorTestCase verbose Running > OldFlavorTestCase.test >------------------------------ >* Checking old flavor ``Object``. >* Checking old flavor ``String``. >* Checking old flavor ``Tuple``. >* Checking old flavor ``Int``. >* Checking old flavor ``VLString``. >* Checking old flavor ``Float``. >* Checking old flavor ``List``. >* Checking old flavor ``Numeric``. >dtype is not equal: int32 != int64
Ok. This is the problem. Numeric is not well supported on 64-bit platforms. This only affects to Numeric/PyTables couple. Hope you are not planning to use them together. > >Test failed: <failed> > >F >====================================================================== >FAIL: None (__main__.OldFlavorTestCase) >---------------------------------------------------------------------- >Traceback (most recent call last): > File > "/usr/lib/python2.6/site-packages/tables-2.1.2-py2.6-linux-x86_64.egg/table >s/tests/common.py", line 248, in newmethod return oldmethod(self, *args, > **kwargs) > File > "/usr/lib/python2.6/site-packages/tables-2.1.2-py2.6-linux-x86_64.egg/table >s/tests/test_basics.py", line 2202, in test > self.assert_(common.allequal(node_data, data, new_flavor)) >AssertionError > >---------------------------------------------------------------------- >Ran 1 test in 0.007s > >FAILED (failures=1) > >[sincl...@sv-17-019 ~]$ h5ls > /usr/lib/python2.6/site-packages/tables-2.1.2-py2.6-linux-x86_64.egg/tables >/tests/old-flavors.h5 CharArray Dataset {1} >Float Dataset {SCALAR} >Int Dataset {SCALAR} >List Dataset {1} >NumArray Dataset {1} >Numeric Dataset {1} >Object Dataset {1/Inf} >String Dataset {1} >Tuple Dataset {1} >VLString Dataset {1/Inf} -- Francesc Alted ------------------------------------------------------------------------------ _______________________________________________ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users