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In 1.18 (#10151), this will fail with the somewhat clearer AssertionError: assert <class 'numpy.int32'> == <class 'numpy.intc'>. The docstrings perhaps clarify what is going on a little:
If there is a bug here, it is probably that somewhere in your computation, an np.int_ got replaced with an np.intc, which is inconsistent. If you can trace that down, then we could consider fixing it.
From https://dev.azure.com/pandas-dev/pandas/_build/results?buildId=18674
I've also seen this for
assert np.uint64 == np.uint64
failing. Is this behavior intentional?The text was updated successfully, but these errors were encountered: