Also, when I use seterr(all='ignore') the the tests fail: ====================================================================== FAIL: Ticket #112 ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/common/homes/g/granger/usr/local/lib/python/numpy/core/tests/test_regression.py", line 219, in check_longfloat_repr assert(str(a)[1:9] == str(a[0])[:8]) AssertionError
---------------------------------------------------------------------- Ran 516 tests in 0.823s FAILED (failures=1) Thanks for helping out on this. On 10/20/06, Tim Hochberg <[EMAIL PROTECTED]> wrote: > Brian Granger wrote: > > Hi, > > > > i am running numpy on aix compiling with xlc. Revision 1.0rc2 works > > fine and passes all tests. But 1.0rc3 and more recent give the > > following on import: > > > > Warning: invalid value encountered in multiply > > Warning: invalid value encountered in multiply > > Warning: invalid value encountered in multiply > > Warning: invalid value encountered in add > > Warning: invalid value encountered in not_equal > > Warning: invalid value encountered in absolute > > Warning: invalid value encountered in less > > Warning: invalid value encountered in multiply > > Warning: invalid value encountered in multiply > > Warning: invalid value encountered in equal > > Warning: invalid value encountered in multiply > > Warning: invalid value encountered in multiply > > Warning: invalid value encountered in multiply > > Warning: invalid value encountered in add > > Warning: invalid value encountered in not_equal > > Warning: invalid value encountered in absolute > > Warning: invalid value encountered in less > > Warning: invalid value encountered in multiply > > Warning: invalid value encountered in multiply > > Warning: invalid value encountered in equal > > Warning: invalid value encountered in multiply > > Warning: invalid value encountered in multiply > > Warning: invalid value encountered in multiply > > [lots more of this] > > > > The odd thing is that all tests pass. I have looked, but can't find > > where this Warning is coming from in the code. Any thoughts on where > > this is coming from? What can I do to help debug this? I am not sure > > what revision introduced this issue. > > > The reason that you are seeing this now is that the default error state > has been tightened up. There were some issues with tests failing as a > result of this, but I believe I fixed those already and you're seeing > this on import, not when running the tests correct? The first thing to > do is figure out where the invalids are occurring, and the natural way > to do that is to set the error state to raise, but you can't set the > error state till you import it, so that's not going to help here. > > I think the first thing that I would try is to throw in a > seterr(all='raise', under='ignore') right after the call to _setdef in > numeric.py. If you're lucky, this will point out where the invalids are > popping up. As a sanity check, you could instead make this > seterr(all='ignore'), which should make all the warnings go away, but > won't tell you anything about why there are warnings to begin with. > > Regards, > > -tim > > > ------------------------------------------------------------------------- > Using Tomcat but need to do more? Need to support web services, security? > Get stuff done quickly with pre-integrated technology to make your job easier > Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo > http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/numpy-discussion > ------------------------------------------------------------------------- Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion