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Gahow Wang 0ed1ce200e metrics: replace round-based percentile with linear interpolation (B5)

The previous implementation used round((n-1) * pct), which under Python's
banker's rounding returned the upper-middle element on every even-length
array (e.g. p50 of [1,2,3,4] returned 3 instead of 2.5). All summary
JSONs were biased upward at p50 as a result. Match numpy.percentile's
default linear interpolation between the two adjacent sorted values.

2026-05-23 21:00:24 +08:00

analysis

Add comprehensive research findings document

2026-05-23 07:16:31 +08:00

experiments

Add elastic PS evaluation plan for production-realistic trace

2026-05-23 15:56:05 +08:00

patches

Add vLLM patches directory for version-controlled patch management

2026-05-22 00:26:14 +08:00

replayer

metrics: replace round-based percentile with linear interpolation (B5)