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Issue #819 fake-client comparison

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Copy this template once per baseline/candidate pair. Attach the complete JSONL output from both runs; it contains only the harness identity, workload controls, timings, counts, and thread samples. Identify a candidate from an uncommitted worktree by its base commit and working-tree patch fingerprint; do not describe the base commit as current HEAD.

Field Baseline Candidate
Full commit ID
Worktree state / provider patch identifier
Harness ID issue-819-google-mapped-fake-v3 issue-819-google-mapped-fake-v3
Harness Program.cs SHA-256
Harness project SHA-256
Harness package-lock SHA-256
Runtime description
Processor count
ThreadPool worker minimum 16 16
ThreadPool I/O minimum
Distinct resources / resolver callers 16 / 16 16 / 16
Observed effective resolver threads / distinct reads 16 / 16 16 / 16
Same-resource callers 16 16
Fake lookup latency 50 ms 50 ms
Cache state off / off / warm control on off / off / warm control on
Sample interval 10 ms 10 ms
Repetitions per workload 9 9
Adopter calibration unavailable / provisional unavailable / provisional

Paste the unedited JSONL output for each revision below. Preserve each repetition's raw elapsed time, measured fake-call count, peak active fake calls, and explicitly non-isolated ThreadPool/process thread sample arrays. The run validates exact calls in every scenario: distinct-cold equals resource-count, same-resource-cold equals 1, and warm-cache equals 0. Per-scenario summaries contain elapsed and active-call metrics only; report ThreadPool/process thread counts only as suite-wide maxima because sequential scenarios share one process.

For a separate caller-count check, run --resource-count 16 --caller-count 4 --repetitions 1. Preserve that JSONL too; its distinct-cold sample should report 16 logical resources, 4 callers, 4 observed resolver threads, and 16 fake-client calls. In general, expected distinct-cold resolver threads are min(resource-count, caller-count); every same-resource-cold and warm-cache caller resolves the one resource.

Raw baseline output

Raw candidate output

Summary

For elapsed-time spread, use the runner's explicit min-to-max range. Do not infer thread identity from process or ThreadPool counts.

Workload Baseline elapsed median / range Candidate elapsed median / range Baseline max active fake calls Candidate max active fake calls
Distinct-resource cold
Same-resource cold contention
Warm-cache control

Suite-wide maxima (not attributable to an individual scenario): baseline ThreadPool / process threads: __ / __; candidate ThreadPool / process threads: __ / __.

Adopter calibration inputs: distinct mapped version resources at startup: __; maximum simultaneous resolution calls: __; end-to-end startup duration and measurement boundary: __. These values must remain value-free and must not include secret names, resource names, or payloads.

Interpretation and limitations: __. Do not state or imply a production speedup from the fake-client workload.