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

..

__init__.py

Agentic workload PD separation analysis with trace-driven benchmarks

2026-05-21 21:21:57 +08:00

__main__.py

Fix replay methodology: trace-driven dispatch, no artificial limits

2026-05-23 12:43:41 +08:00

metrics.py

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

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

replay.py

Fix replay methodology: trace-driven dispatch, no artificial limits

2026-05-23 12:43:41 +08:00

trace.py

Agentic workload PD separation analysis with trace-driven benchmarks

2026-05-21 21:21:57 +08:00