Hi Stefan, I checked it with numpy version 1.1.1 just now and the result is the same:
>>> x = N.array([0.,0,1,0,0]) >>> y1 = N.array([1.,0,0,0,0]) >>> N.correlate(x,y1, mode='full') array([ 0., 0., 0., 0., 0., 0., 1., 0., 0.]) >>> y2 = N.array([1.,0,0,0,0,0,0]) >>> N.correlate(x,y2, mode='full') array([ 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0.]) >>> N.__version__ '1.1.1' >>> Best regards, Hanno Stéfan van der Walt <[EMAIL PROTECTED]> said: > Hi Hanno > > 2008/8/22 Hanno Klemm <[EMAIL PROTECTED]>: > > yes, indeed, that's what I thought. This result is odd. Has correlate > > been changed since version 1.0.4, or should I submit this as a bug? > > Is there any way that you could try out the latest release on your > machine and see if it solves your problem? We probably won't be > releasing bug-fixes on 1.0.4, but if it exists in 1.1 we'll still > address it. I'm not aware of any changes, but I may simply have > missed it. > > Regards > Stéfan > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://projects.scipy.org/mailman/listinfo/numpy-discussion > -- Hanno Klemm [EMAIL PROTECTED]
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