Hi all, just a small heads up for gufunc hackers and low level iterator users. We will probably very soon put in a commit into master that will allow the removal of empty axis from NpyIter/nditer, effectively removing the error:
"ValueError: cannot remove a zero-sized axis from an iterator" and allowing: ``` arr = np.zeros((100, 0)) it = np.nditer((arr,), flags=["zerosize_ok", "multi_index"]) it.remove_axis(1) ``` As a follow up step, we also allow that gufuncs may be called with empty inner loop sizes. In some cases that may mean that your gufuncs may need special handling for lets say: ``` arr = np.zeros((100, 0)) # note the 0 dimension. my_gufunc(arr) ``` If this creates problems for you, please tell, so that we can slow down or undo the change. As an example, we have a matrix_multiply gufunc for testing purpose, which did not zero out the output for the case of `matrix_multiply(np.ones((10, 0)), np.ones((0, 10)))`. So this could turn code that errored out for weird reasons into wrong results in rare cases. - Sebastian
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