This pull request which needs some testing should fix the issue: https://github.com/numpy/numpy/pull/92
-Mark On Fri, Jun 10, 2011 at 11:40 AM, Ken Basye <kbas...@jhu.edu> wrote: > Dear folks, > I have some code that stopped working with 1.6.0 and I'm wondering if > there's a better way to replace it than what I came up with. Here's a > condensed version: > > x = [()] # list containing an empty tuple; this isn't the only case, > but it's one that must be handled correctly > y = np.empty(len(x), dtype=object) > y[:] = x[:] > > In 1.5.1 this works, giving y as "array([()], dtype=object)" > > In 1.6.0, it raises a ValueError: > ValueError: output operand requires a reduction, but reduction is not > enabled > > I didn't see anything in the release notes about this; admittedly it's a > very small corner case. I also don't understand what the error message > is trying to tell me here. > > Most of the more straightforward ways to construct the desired array > don't work because the interpretation of a nested structure is as a > multi-dimensional array, which is reasonable. > > At this point my workaround is to replace the assignment with a loop: > > for i, v in enumerate(x): > y[i] = v > > but this seems non-Numpyish. Any light on what the error means or a > better way to do this would be most welcome. > > Thanks, > Ken > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
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