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return_inverse returns something different even for axis=0. This was likely a mistake in NumPy 2, and we will probably revert it (not for axis=None). If you care for working correctly with NumPy 2.0 and have the time, adding:
inverse = inverse.reshape(-1)
would be safe way avoid a regression for this version either way.
return_inverse returns something different even for
axis=0
. This was likely a mistake in NumPy 2, and we will probably revert it (not foraxis=None
). If you care for working correctly with NumPy 2.0 and have the time, adding:would be safe way avoid a regression for this version either way.
xref numpy/numpy#26738
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