I understand why this happens, but I wonder if it should be in any way 'fixed' (if that is even feasible without introducing other problems):
In [28]: x = 999999 In [29]: y = numpy.array([x]) In [30]: z = y[0] In [31]: x==z Out[31]: True In [32]: x Out[32]: 999999 In [33]: z Out[33]: 999999 In [34]: x*x Out[34]: 999998000001L In [35]: z*z Warning: overflow encountered in long_scalars Out[35]: -729379967 I am sure it will be, to say the least, pretty surprising (and I can imagine subtle bugs being caused by this). Regards, f ------------------------------------------------------------------------- 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