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moble avatar moble commented on July 29, 2024

I don't think I'll be able to affect this behavior, because it's hard-wired to call the complex conjugate function. The only thing that does work is numpy.conjugate, which should be sufficient, as long as the user knows not to use q.conjugate().

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longjon avatar longjon commented on July 29, 2024

I've sent an upstream patch for this issue as numpy/numpy#9003.

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moble avatar moble commented on July 29, 2024

Thank you! I can verify that your patch does indeed fix this problem. I'll mention that on the numpy PR.

My statements above were not really clear enough. In particular, it wasn't clear that the problem applies to arrays of quaternions rather than individual quaternions. So I'll just write a simple test that shows the problem

import numpy as np
import quaternion

q = np.array([np.quaternion(1,2,3,4), np.quaternion(5,6,7,8)])
q_c = np.array([np.quaternion(1,-2,-3,-4), np.quaternion(5,-6,-7,-8)])

assert np.array_equal(q.conjugate(), q_c)

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longjon avatar longjon commented on July 29, 2024

With the merge of numpy/numpy#9061, this is fixed upstream (and as of numpy 1.13).

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moble avatar moble commented on July 29, 2024

Thanks for all that work! I'll keep an eye out for the 1.13 release and rebuild the conda packages. Meanwhile, I'll leave this open as a reminder to myself to do that.

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moble avatar moble commented on July 29, 2024

Actually, I just realized that the 1.13 release hasn't come out on conda yet, so I'll leave this open still.

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