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• Re: [PR] deps(java): bump org.apache.rat:apache-rat from 0.14 to 0.16.1 [lucene] via GitHub
  • Re: [PR] deps(java): bump org.apache.rat:apache-rat from 0.14 to 0.16.1 [lucene] via GitHub
  • Re: [PR] deps(java): bump org.apache.rat:apache-rat from 0.14 to 0.16.1 [lucene] via GitHub
• Re: [PR] deps(java): bump org.apache.commons:commons-compress from 1.27.1 to 1.28.0 [lucene] via GitHub
  • Re: [PR] deps(java): bump org.apache.commons:commons-compress from 1.27.1 to 1.28.0 [lucene] via GitHub
  • Re: [PR] deps(java): bump org.apache.commons:commons-compress from 1.27.1 to 1.28.0 [lucene] via GitHub
  • Re: [PR] deps(java): bump org.apache.commons:commons-compress from 1.27.1 to 1.28.0 [lucene] via GitHub
• Re: [PR] Resolve some TODOs in TestGrouping [lucene] via GitHub
  • Re: [PR] Resolve some TODOs in TestGrouping [lucene] via GitHub
• [PR] BENCHMARK(benchmark-jmh): Add benchmark for Operations.determinize() [lucene] via GitHub
  • Re: [PR] BENCHMARK(benchmark-jmh): Add benchmark for Operations.determinize() [lucene] via GitHub
  • Re: [PR] BENCHMARK(benchmark-jmh): Add benchmark for Operations.determinize() [lucene] via GitHub
  • Re: [PR] BENCHMARK(benchmark-jmh): Add benchmark for Operations.determinize() [lucene] via GitHub
  • Re: [PR] BENCHMARK(benchmark-jmh): Add benchmark for Operations.determinize() [lucene] via GitHub
  • Re: [PR] BENCHMARK(benchmark-jmh): Add benchmark for Operations.determinize() [lucene] via GitHub
  • Re: [PR] BENCHMARK(benchmark-jmh): Add benchmark for Operations.determinize() [lucene] via GitHub
• [I] TestMockDirectoryWrapper.testIsLoadedOnSlice failure [lucene] via GitHub
  • Re: [I] TestMockDirectoryWrapper.testIsLoadedOnSlice failure [lucene] via GitHub
• [PR] Introduce support for pruning and skipping to FirstPassGroupingCollector [lucene] via GitHub
  • Re: [PR] Introduce support for pruning and skipping to FirstPassGroupingCollector [lucene] via GitHub
  • Re: [PR] Introduce support for pruning and skipping to FirstPassGroupingCollector [lucene] via GitHub
  • Re: [PR] Introduce support for pruning and skipping to FirstPassGroupingCollector [lucene] via GitHub
  • Re: [PR] Introduce support for pruning and skipping to FirstPassGroupingCollector [lucene] via GitHub
  • Re: [PR] Introduce support for pruning and skipping to FirstPassGroupingCollector [lucene] via GitHub
  • Re: [PR] Introduce support for pruning and skipping to FirstPassGroupingCollector [lucene] via GitHub
• [I] java 25 support [lucene] via GitHub
  • Re: [I] java 25 support [lucene] via GitHub
  • Re: [I] java 25 support [lucene] via GitHub
  • Re: [I] java 25 support [lucene] via GitHub
  • Re: [I] java 25 support [lucene] via GitHub
  • Re: [I] java 25 support [lucene] via GitHub
  • Re: [I] java 25 support [lucene] via GitHub
• [PR] deps(java): bump com.google.errorprone:error_prone_core from 2.41.0 to 2.42.0 [lucene] via GitHub
  • Re: [PR] deps(java): bump com.google.errorprone:error_prone_core from 2.41.0 to 2.42.0 [lucene] via GitHub
  • Re: [PR] deps(java): bump com.google.errorprone:error_prone_core from 2.41.0 to 2.42.0 [lucene] via GitHub
  • Re: [PR] deps(java): bump com.google.errorprone:error_prone_core from 2.41.0 to 2.42.0 [lucene] via GitHub
  • Re: [PR] deps(java): bump com.google.errorprone:error_prone_core from 2.41.0 to 2.42.0 [lucene] via GitHub
  • Re: [PR] deps(java): bump com.google.errorprone:error_prone_core from 2.41.0 to 2.42.0 [lucene] via GitHub
  • Re: [PR] deps(java): bump com.google.errorprone:error_prone_core from 2.41.0 to 2.42.0 [lucene] via GitHub
• [PR] deps(java): bump org.assertj:assertj-core from 3.27.4 to 3.27.6 [lucene] via GitHub
  • Re: [PR] deps(java): bump org.assertj:assertj-core from 3.27.4 to 3.27.6 [lucene] via GitHub
  • Re: [PR] deps(java): bump org.assertj:assertj-core from 3.27.4 to 3.27.6 [lucene] via GitHub
  • Re: [PR] deps(java): bump org.assertj:assertj-core from 3.27.4 to 3.27.6 [lucene] via GitHub
  • Re: [PR] deps(java): bump org.assertj:assertj-core from 3.27.4 to 3.27.6 [lucene] via GitHub
  • Re: [PR] deps(java): bump org.assertj:assertj-core from 3.27.4 to 3.27.6 [lucene] via GitHub
  • Re: [PR] deps(java): bump org.assertj:assertj-core from 3.27.4 to 3.27.6 [lucene] via GitHub
• Re: [PR] Disabling point range collector if doc values not indexed [lucene] via GitHub
• Re: [I] Allow Histogram Collection using PointTree when SortedNumericDocValues is absent [lucene] via GitHub
• [I] Efficient iteration over deleted doc values [lucene] via GitHub
  • Re: [I] Efficient iteration over deleted doc values [lucene] via GitHub
  • Re: [I] Efficient iteration over deleted doc values [lucene] via GitHub
  • Re: [I] Efficient iteration over deleted doc values [lucene] via GitHub
  • Re: [I] Efficient iteration over deleted doc values [lucene] via GitHub
  • Re: [I] Efficient iteration over deleted doc values [lucene] via GitHub
• [I] Improve user facing java docs using LLM (or otherwise) [lucene] via GitHub
  • Re: [I] Improve user facing java docs using LLM (or otherwise) [lucene] via GitHub
  • Re: [I] Improve user facing java docs using LLM (or otherwise) [lucene] via GitHub
  • Re: [I] Improve user facing java docs using LLM (or otherwise) [lucene] via GitHub
  • Re: [I] Improve user facing java docs using LLM (or otherwise) [lucene] via GitHub
  • Re: [I] Improve user facing java docs using LLM (or otherwise) [lucene] via GitHub
  • Re: [I] Improve user facing java docs using LLM (or otherwise) [lucene] via GitHub
  • Re: [I] Improve user facing java docs using LLM (or otherwise) [lucene] via GitHub
  • Re: [I] Improve user facing java docs using LLM (or otherwise) [lucene] via GitHub
  • Re: [I] Improve user facing java docs using LLM (or otherwise) [lucene] via GitHub
  • Re: [I] Improve user facing java docs using LLM (or otherwise) [lucene] via GitHub
  • Re: [I] Improve user facing java docs using LLM (or otherwise) [lucene] via GitHub
  • Re: [I] Improve user facing java docs using LLM (or otherwise) [lucene] via GitHub
  • Re: [I] Improve user facing java docs using LLM (or otherwise) [lucene] via GitHub
• Re: [I] PathHierarchyTokenizer to support multiple delimiters [lucene] via GitHub
  • Re: [I] PathHierarchyTokenizer to support multiple delimiters [lucene] via GitHub
  • Re: [I] PathHierarchyTokenizer to support multiple delimiters [lucene] via GitHub
  • Re: [I] PathHierarchyTokenizer to support multiple delimiters [lucene] via GitHub
• Re: [I] Create a simple "real world" regexp benchmark [LUCENE-9986] [lucene] via GitHub
  • Re: [I] Create a simple "real world" regexp benchmark [LUCENE-9986] [lucene] via GitHub
• Re: [I] Take advantage of `DocValuesSkipper` in `NumericLeafComparator` [lucene] via GitHub
  • Re: [I] Take advantage of `DocValuesSkipper` in `NumericLeafComparator` [lucene] via GitHub
• Re: [I] UnsupportedOperationException instead of IllegalArgumentException from PointInSetQuery when values are out of order [lucene] via GitHub
  • Re: [I] UnsupportedOperationException instead of IllegalArgumentException from PointInSetQuery when values are out of order [lucene] via GitHub
• [PR] Failing test for early termination in DrillSideways [lucene] via GitHub
  • Re: [PR] Failing test for early termination in DrillSideways [lucene] via GitHub
• [I] Switch BpVectorReorderer to use bulk scoring [lucene] via GitHub
  • Re: [I] Switch BpVectorReorderer to use bulk scoring [lucene] via GitHub
  • Re: [I] Switch BpVectorReorderer to use bulk scoring [lucene] via GitHub
  • Re: [I] Switch BpVectorReorderer to use bulk scoring [lucene] via GitHub
  • Re: [I] Switch BpVectorReorderer to use bulk scoring [lucene] via GitHub
• Re: [I] Take advantage of DocValuesSkipper for SortedNumericDocValuesRangeQuery's count [lucene] via GitHub
• Re: [PR] Vectorise expand8 in ForUtil using JDK Vector API [lucene] via GitHub
  • Re: [PR] Vectorise expand8 in ForUtil using JDK Vector API [lucene] via GitHub
  • Re: [PR] Vectorise expand8 in ForUtil using JDK Vector API [lucene] via GitHub
  • Re: [PR] Vectorise expand8 in ForUtil using JDK Vector API [lucene] via GitHub
  • Re: [PR] Vectorise expand8 in ForUtil using JDK Vector API [lucene] via GitHub
  • Re: [PR] Vectorise expand8 in ForUtil using JDK Vector API [lucene] via GitHub
• [PR] ci: partial cleanups for actions [lucene] via GitHub
  • Re: [PR] ci: partial cleanups for actions [lucene] via GitHub
  • Re: [PR] ci: partial cleanups for actions [lucene] via GitHub
• Re: [I] Try applying bipartite graph reordering to KNN graph node ids [lucene] via GitHub
  • Re: [I] Try applying bipartite graph reordering to KNN graph node ids [lucene] via GitHub
  • Re: [I] Try applying bipartite graph reordering to KNN graph node ids [lucene] via GitHub
• Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
  • Re: [PR] Bypass HNSW graph building for tiny segments [lucene] via GitHub
• Re: [PR] [QueryCache] Use RamUsageEstimator instead of defaulting to 1024 bytes for non-accountable query size [lucene] via GitHub
  • Re: [PR] [QueryCache] Use RamUsageEstimator instead of defaulting to 1024 bytes for non-accountable query size [lucene] via GitHub
  • Re: [PR] [QueryCache] Use RamUsageEstimator instead of defaulting to 1024 bytes for non-accountable query size [lucene] via GitHub
  • Re: [PR] [QueryCache] Use RamUsageEstimator instead of defaulting to 1024 bytes for non-accountable query size [lucene] via GitHub
  • Re: [PR] [QueryCache] Use RamUsageEstimator instead of defaulting to 1024 bytes for non-accountable query size [lucene] via GitHub
  • Re: [PR] [QueryCache] Use RamUsageEstimator instead of defaulting to 1024 bytes for non-accountable query size [lucene] via GitHub
  • Re: [PR] [QueryCache] Use RamUsageEstimator instead of defaulting to 1024 bytes for non-accountable query size [lucene] via GitHub
  • Re: [PR] [QueryCache] Use RamUsageEstimator instead of defaulting to 1024 bytes for non-accountable query size [lucene] via GitHub
  • Re: [PR] [QueryCache] Use RamUsageEstimator instead of defaulting to 1024 bytes for non-accountable query size [lucene] via GitHub
  • Re: [PR] [QueryCache] Use RamUsageEstimator instead of defaulting to 1024 bytes for non-accountable query size [lucene] via GitHub
  • Re: [PR] [QueryCache] Use RamUsageEstimator instead of defaulting to 1024 bytes for non-accountable query size [lucene] via GitHub
  • Re: [PR] [QueryCache] Use RamUsageEstimator instead of defaulting to 1024 bytes for non-accountable query size [lucene] via GitHub
  • Re: [PR] [QueryCache] Use RamUsageEstimator instead of defaulting to 1024 bytes for non-accountable query size [lucene] via GitHub
• [PR] [Tessellator] Fix failure due to hole bridge being coplanar with polygon edge. [lucene] via GitHub
  • Re: [PR] [Tessellator] Fix failure due to hole bridge being coplanar with polygon edge. [lucene] via GitHub
  • Re: [PR] [Tessellator] Fix failure due to hole bridge being coplanar with polygon edge. [lucene] via GitHub
  • Re: [PR] [Tessellator] Fix failure due to hole bridge being coplanar with polygon edge. [lucene] via GitHub
  • Re: [PR] [Tessellator] Fix failure due to hole bridge being coplanar with polygon edge. [lucene] via GitHub
  • Re: [PR] [Tessellator] Fix failure due to hole bridge being coplanar with polygon edge. [lucene] via GitHub
• Re: [I] Support multiple HNSW graphs backed by the same vectors [lucene] via GitHub
  • Re: [I] Support multiple HNSW graphs backed by the same vectors [lucene] via GitHub
  • Re: [I] Support multiple HNSW graphs backed by the same vectors [lucene] via GitHub
  • Re: [I] Support multiple HNSW graphs backed by the same vectors [lucene] via GitHub
  • Re: [I] Support multiple HNSW graphs backed by the same vectors [lucene] via GitHub
  • Re: [I] Support multiple HNSW graphs backed by the same vectors [lucene] via GitHub
  • Re: [I] Support multiple HNSW graphs backed by the same vectors [lucene] via GitHub
  • Re: [I] Support multiple HNSW graphs backed by the same vectors [lucene] via GitHub
  • Re: [I] Support multiple HNSW graphs backed by the same vectors [lucene] via GitHub
  • Re: [I] Support multiple HNSW graphs backed by the same vectors [lucene] via GitHub
  • Re: [I] Support multiple HNSW graphs backed by the same vectors [lucene] via GitHub
• [PR] Speed up some slow tests by reducing iteration counts (addresses #15212) [lucene] via GitHub
  • Re: [PR] Speed up some slow tests by reducing iteration counts (addresses #15212) [lucene] via GitHub
  • Re: [PR] Speed up some slow tests by reducing iteration counts (addresses #15212) [lucene] via GitHub
• [PR] Don't normalize centroids with zero samples. Fixes #15209 [lucene] via GitHub
  • Re: [PR] Don't normalize centroids with zero samples. Fixes #15209 [lucene] via GitHub
  • Re: [PR] Don't normalize centroids with zero samples. Fixes #15209 [lucene] via GitHub
  • Re: [PR] Don't normalize centroids with zero samples. Fixes #15209 [lucene] via GitHub
• Re: [PR] Implement off-heap quantized scoring [lucene] via GitHub
  • Re: [PR] Implement off-heap quantized scoring [lucene] via GitHub
  • Re: [PR] Implement off-heap quantized scoring [lucene] via GitHub
• Re: [I] Regression in Tessellator: unable to tessellate previously valid Polygon [lucene] via GitHub
  • Re: [I] Regression in Tessellator: unable to tessellate previously valid Polygon [lucene] via GitHub
  • Re: [I] Regression in Tessellator: unable to tessellate previously valid Polygon [lucene] via GitHub
  • Re: [I] Regression in Tessellator: unable to tessellate previously valid Polygon [lucene] via GitHub
• [I] KnnFloatVectorQuery misses highest-ranking results that FloatVectorSimilarityQuery retrieves [lucene] via GitHub
  • Re: [I] KnnFloatVectorQuery misses highest-ranking results that FloatVectorSimilarityQuery retrieves [lucene] via GitHub
  • Re: [I] KnnFloatVectorQuery misses highest-ranking results that FloatVectorSimilarityQuery retrieves [lucene] via GitHub
  • Re: [I] KnnFloatVectorQuery misses highest-ranking results that FloatVectorSimilarityQuery retrieves [lucene] via GitHub
  • Re: [I] KnnFloatVectorQuery misses highest-ranking results that FloatVectorSimilarityQuery retrieves [lucene] via GitHub
  • Re: [I] KnnFloatVectorQuery misses highest-ranking results that FloatVectorSimilarityQuery retrieves [lucene] via GitHub
  • Re: [I] KnnFloatVectorQuery misses highest-ranking results that FloatVectorSimilarityQuery retrieves [lucene] via GitHub
  • Re: [I] KnnFloatVectorQuery misses highest-ranking results that FloatVectorSimilarityQuery retrieves [lucene] via GitHub
  • Re: [I] KnnFloatVectorQuery misses highest-ranking results that FloatVectorSimilarityQuery retrieves [lucene] via GitHub
  • Re: [I] KnnFloatVectorQuery misses highest-ranking results that FloatVectorSimilarityQuery retrieves [lucene] via GitHub
  • Re: [I] KnnFloatVectorQuery misses highest-ranking results that FloatVectorSimilarityQuery retrieves [lucene] via GitHub
  • Re: [I] KnnFloatVectorQuery misses highest-ranking results that FloatVectorSimilarityQuery retrieves [lucene] via GitHub
  • Re: [I] KnnFloatVectorQuery misses highest-ranking results that FloatVectorSimilarityQuery retrieves [lucene] via GitHub
  • Re: [I] KnnFloatVectorQuery misses highest-ranking results that FloatVectorSimilarityQuery retrieves [lucene] via GitHub
  • Re: [I] KnnFloatVectorQuery misses highest-ranking results that FloatVectorSimilarityQuery retrieves [lucene] via GitHub
• [PR] [WIP] Concurrent merging with join set algorithm [lucene] via GitHub
  • Re: [PR] [WIP] Concurrent merging with join set algorithm [lucene] via GitHub
  • Re: [PR] [WIP] Concurrent merging with join set algorithm [lucene] via GitHub
  • Re: [PR] [WIP] Concurrent merging with join set algorithm [lucene] via GitHub
  • Re: [PR] [WIP] Concurrent merging with join set algorithm [lucene] via GitHub
  • Re: [PR] [WIP] Concurrent merging with join set algorithm [lucene] via GitHub

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