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Use bitmask for MaskedArray mask #59410

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@WillAyd WillAyd commented Aug 5, 2024

Not 100% working yet but wanted to open for discussion to see if it is worth trying to finish. This replaces our current bytemask with a custom bitmask, but does so in a separately library. The advantage of the separate library is that the CI setup can be customized a bit further, with ASAN/gtest tooling that would be hard or awkward to set up in pandas. The disadvantage is that the separate library has a sole purpose of fitting the needs of pandas, as a lot of the logic built for it tries to merge NumPy indexing with memory backed by nanoarrow; I don't see that being a wide use case

@jbrockmendel @jorisvandenbossche @phofl in case of interest

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WillAyd commented Aug 5, 2024

Git repo of dependency: https://github.com/WillAyd/pandas-bitmask

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github-actions bot commented Sep 5, 2024

This pull request is stale because it has been open for thirty days with no activity. Please update and respond to this comment if you're still interested in working on this.

@github-actions github-actions bot added the Stale label Sep 5, 2024
@WillAyd WillAyd force-pushed the use-pd-bitmask branch 2 times, most recently from 918d2cd to 7c3feb8 Compare October 4, 2024 18:36
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