Travis Oliphant wrote: > Tim Hochberg wrote: > > >> Travis Oliphant wrote: >> >> >> >>> Tim Hochberg wrote: >>> >>> >>> >>> >>>> Rudolph van der Merwe wrote: >>>> >>>> >>>> >>>> >>>> >>>>> I get the following error with RC3 on a RHE Linux box: >>>>> >>>>> Python 2.4.3 (#4, Mar 31 2006, 12:12:43) >>>>> [GCC 3.4.5 20051201 (Red Hat 3.4.5-2)] on linux2 >>>>> Type "help", "copyright", "credits" or "license" for more information. >>>>> >>>>> >>>>> >>>>> >>>>> >>>>> >>>>>>>> import numpy >>>>>>>> numpy.__version__ >>>>>>>> >>>>>>>> >>>>>>>> >>>>>>>> >>>>>>>> >>>>>>>> >>>>> '1.0rc3' >>>>> >>>>> >>>>> >>>>> >>>>> >>>>> >>>> On a visual studio build, I'm getting a real failure though: >>>> >>>> FAIL: Ticket #112 >>>> ---------------------------------------------------------------------- >>>> Traceback (most recent call last): >>>> File >>>> "C:\Python24\lib\site-packages\numpy\core\tests\test_regression.py", >>>> line 219, in check_longfloat_repr >>>> assert(str(a)[1:9] == str(a[0])[:8]) >>>> AssertionError >>>> >>>> The code in question is dependent on the spelling of INF(or at least the >>>> *length* of the spelling) on a given platform which is why it's failing. >>>> >>>> >>>> >>>> >>>> >>> Actually, you shouldn't be getting an INF at all. This is what the >>> test is designed to test for (so I guess it's working). The test was >>> actually written wrong and was never failing because previously keyword >>> arguments to ufuncs were ignored. >>> >>> Can you show us what 'a' is on your platform. >>> >>> >>> >> Sure: >> >> >>>>> import numpy as N >>>>> a = N.exp(N.array([1000],dtype=N.longfloat)) >>>>> >> Warning: overflow encountered in exp >> >>>>> a >>>>> >> array([1.#INF], dtype=float64) >> >> >> > O.K. We need to modify the test in case to check and see that the size > of longfloat isn't the same as double. > How about:
def check_longfloat_repr(self,level=rlevel): """Ticket #112""" if N.dtype(N.longfloat) != N.dtype(N.float): a = N.exp(N.array([1000],dtype=N.longfloat)) assert(str(a)[1:9] == str(a[0])[:8]) That seems to work here. -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