Comments (2)
It could still be changed, and maybe it should. Making shape ndarray has the advantage of making it easier to perform arithmetic on the shape. But I agree it is unfortunate to lose equality comparison and compatibility for scipy/numpy functions when possible.
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Thanks for taking the time to reply. In my particular use case, I just changed the equality comparison in scipy in a local fork to find out that while scipy's affine_transform
doesn't throw any further errors and then also returns a tensorstore array the data is not actually written into the array.
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