David Snelling
fe4f5df8c9
Add 'percentile' (with a 'p' fraction in [0,1]) and 'distinctCount' to the aggregation engine. Both are exact, computed from a per-metric value multiset (MetricState.valueCounts) maintained incrementally and delete-safe; percentile uses numpy-linear interpolation. The multiset is JSON-serializable so results survive persistence. 35 aggregation unit tests pass. |
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| .. | ||
| api | ||
| benchmarks | ||
| comprehensive | ||
| configs | ||
| fixtures/import | ||
| helpers | ||
| integration | ||
| integrations | ||
| manual | ||
| performance | ||
| regression | ||
| scripts | ||
| transaction | ||
| unit | ||
| vfs | ||
| brainy-3.test.ts | ||
| critical-error-handling.test.ts | ||
| critical-neural-validation.test.ts | ||
| critical-performance-benchmark.test.ts | ||
| distributed-demo.test.ts | ||
| model-loading.test.ts | ||
| opfs-storage.test.ts | ||
| package-size-breakdown.test.ts | ||
| package-size-limit.test.ts | ||
| setup-integration.ts | ||
| setup-unit.ts | ||
| setup.ts | ||
| streaming-pipeline.test.ts | ||
| type-utils.test.ts | ||
| typeAwareHNSWIndex.test.ts | ||