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Thanks for raising this, we've currently pinned the numpy version at 1.23.0 for this reason, and have a task in to address soon the refactor necessary to allow this to upgrade back to our usual policy of latest-version.
Unfortunately, this does mean that if you have clashing versions, these are harder to make coexist, depending how you manage your dependencies.
Whilst numpy made this announcement in advance, the inclusion of it in a minor version upgrade was a surprise to me! It's a priority for the team and I to address. Thanks for your issue report.
There is an np.int import in run_length_encoding.pyx which breaks when using numpy >= 1.24.0
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