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#16511 PR: Add bulk-scorer differential oracle test
8.7 minutes ago  0 comments  0 votes  0 watches  github-actions[bot], tballison
Adds a differential oracle: the optimized bulk-scoring path must produce the same match set as ... Three tests: 1. testBulkEqualsScorer — the fuzzer: random index shapes (doc counts derived from ... Confirmed manually that the regression tests fails at the pre-fix commit (c93628f669, on branch_10x ...

#13829: tests fail due to large amount of output with highish tests.iters
6 hours ago  4 comments  0 votes  0 watches  dweiss, msokolov, slow-J
Description I've noticed that some tests fail when tests.iters is set to a highish value (like 20 ... I assume this is something we'd want to fix, but I'm not clear how to go about it exactly. Some tests I've seen fail are: TestDemo.testIndexSearch (IndexFiles outputs the names of files as ...
    dweiss 6 hours ago:  An alternative is to ignore the rule entirely if test iterations are larger than 0.
    slow-J 6.5 hours ago:  Maybe we could multiply the sysout limits by the number of iterations? https://github.com/apache/lucene/blob/9cda46563a4bb30f26fd120ab9bc1397106bf945/lucene/ ...

#12416: Lucene KNN token vectors demo
6.6 hours ago  2 comments  0 votes  0 watches  alessandrobenedetti, bobmanc, msokolov, slow-J
Description I am trying to use a larger vector dictionary with the demo code. I have tried all the files here https://nlp.stanford.edu/projects/glove/ and every one throws this. ... `inputs are added out of order lastInput=[74 68 65] vs input=[2e] java.lang.AssertionError: inputs ...
    slow-J 6.6 hours ago:  Would it make sense to change https://github.com/apache/lucene/blob/9cda46563a4bb30f26fd120ab9bc1397 ...
    msokolov 3.1 years ago:  Your dictionary must be sorted in UTF-8 order

#16476 PR: GITHUB#7820: report which segment's .si could not be read
6.8 hours ago  7 comments  0 votes  0 watches  github-actions[bot], gokaai, mikemccand, serhiy-bzhezytskyy
Description CheckIndex reports that a commit point could not be read, but not *which* segment is ... This is the November 2023 comment on 7820: > the exception "does not make it clear which segment(s ... It introduces CorruptSegmentInfoException and throws it from SegmentInfos when a segment's .si ...
    serhiy-bzhezytskyy 6.8 hours ago:  yes, i tested — the code cherry-picks onto branch_10x cleanly, only the CHANGES entry conflicts ...
    serhiy-bzhezytskyy 4 days ago:  Thanks @mikemccand — both nits are addressed in 8935d53a: the SegmentInfo declaration is now ... CI is green. Anything else I should improve here?

#16510 PR: Implement intoBitSet for NotDocIdSet and IndexSortSortedNumericDocValuesRangeQuery
13.5 hours ago  0 comments  0 votes  0 watches  github-actions[bot], kkewwei
Description This PR adds intoBitSet implementations for these two cases, which can avoid ... I’m not sure whether benchmarks are required for these paths. I’d be happy to add them if need

#16089 PR: Upgrade DocIdSetBuilder to use FixedBitSet eagerly once exceeding the threshold
13.6 hours ago  13 comments  0 votes  0 watches  epotyom, github-actions[bot], kkewwei
Description In DocIdSetBuilder, if We know the cost and is large enough, switch the builder to ... . <!
    kkewwei 13.6 hours ago:  @epotyom Can you help merge in your spare time?
    epotyom 3.2 days ago:  Thanks for adding and running the tests @kkewwei - great results!

#16030 PR: Implement data-blind scalar quantization
16.2 hours ago  5 comments  0 votes  0 watches  github-actions[bot], kaivalnp, mccullocht, mikemccand, romseygeek
Add an option to the quantization format to enable or disable centering (enabled by default). When centering is disabled we also stop writing the float vectors which can lead to significant ... Special handling is included during merges -- we check that all of the input is in the same ...
    mccullocht 1 day ago:  I'll try to revive this over the next week or two. > This should work well when incoming vectors are isotropic (all dimensions behave the same i.e ...
    mikemccand 1.1 days ago:  +1, I love that we are making progress on data-blind quantization. This should work well when incoming vectors are isotropic (all dimensions behave the same i.e. the ... But I think your average trained model won't just produce isotropic embeddings?

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