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The reason we're seeing this warning now is not due to numpy 1.26 (which came out last week). It's because numba 0.58 came out 6 hours ago. The previous release of 0.57.1 was transitively bounding our numpy to <1.25. That restriction is lifted in numba 0.58 (numba/numba#9011) so now cudf was able to fetch numpy 1.25 which raises these deprecations. The proper solution is still to bound to numpy <1.25.
Describe the bug
Numpy 1.26 is out, and produces deprecation warnings in pandas (1.5.x). We notice this in wheel builds which don't have an upper bound pin (e.g. https://github.com/rapidsai/cudf/actions/runs/6262541728/job/17005833818?pr=14142)
Expected behavior
Pin to appropriate version
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