Hi, I am facing a rather frustrating problem with numpy/scipy: after upgrading to svn numpy and scipy, and trying to remove most of the now unnecessary casting (floats) the program I wrote does not give me the right answer. It seems that the answer is somewhat scaled down (but not in a simple way). I had this kind of behaviour some time ago when scipy and numpy were not fully compatible and then I had to cast the floats explicitely in my program to make it work. But now it SHOULD be fully compatible as far as I understand the issue. So my question is: is there any remaining flaws in terms of casts/format between scipy and numpy? I am specifically using the scipy functions: - special.erf, special.erfc, orthogonal.ps_roots, integrate.quad... and the numpy functions : sum, sqrt, exp, sin, cos, arctan. I am doing all the calculations using numpy.float32.
Did anybody witness weird behaviour recently in this context? (I don't really know what to do now since I already spent hours trying to find the problem: the point is that the final answer is wrong for sure, but the intermediate calculations are not easily checked since I do not know what to really expect there. The program was working before I touched the casting + upgraded numpy/scipy) thanks for any help here, and cheers. Eric ------------------------------------------------------------------------- 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
