feat: allow optimize indices to control index merge behavior#1820
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feat: allow optimize indices to control index merge behavior#1820
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[Half 2.3](https://github.com/starkat99/half-rs/releases/tag/v2.3.0) supports f16 HW acceleration. This is safe because our rust crate already uses 2.3.1
BREAKING CHANGE: removed single-purpose stats API from public API and refactored `DatasetIndexExt` to `lance-index`. Also, fixed a few places that `unwrap()` results.
Clean pu leftovers from #1828
During compaction we read in the row ids so we can use them for remapping. We read the row ids into a tree map which is most efficient if we can read them in order and the current code is in fact assuming that the row ids arrive in order. However, we weren't actually scanning in order and this could lead to failures during compaction.
add a E2E test for torch training where the training data contains nans
I've given up for now on supporting generic extension types in FSL (#1693), so for now we'll have a special case for bfloat16 where we have a specific string that refers to our extension type. This will unblock further development on vector search with bfloat16, but there is also still substantial UX work before we want to advertise this to users. Closes #1684.
allow python users to set custom PQ codebook calculated from external sources
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Closes in favor of #1841 |
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Allow users to specify how many indices to merge together. Can choose a non-negative integer.