alexion
f4df5d31c9
Add the longitudinal layer to the benchmark core: a per-skill JSON-lines history that appends one summary line per run and trims oldest-first at fifty, two stacked net-margin trend ribbons (Efficacy and Regression, the latter leaving a gap for two-arm runs) with the current run ringed and a net/delta/green-count readout, and per-badge fragility chips that flag the narrowest passing case on each green axis so a barely-green skill cannot look robust. History persistence is opt-in via --history and is the core's only side effect. Without it the core stays a pure transform. Two committed fixtures (clean and fragile) and new fixture-test sections cover the append-and-trim, both ribbons including the two-arm gap, and the chips.
497 lines
12 KiB
JSON
497 lines
12 KiB
JSON
{
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"skill": "clean-skill",
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"generatedAt": "2026-07-24T10:00:00Z",
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"temperature": 1.0,
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"trialsPerCase": 5,
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"arms": [
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{
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"id": "new",
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"label": "New skill"
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},
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{
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"id": "previous",
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"label": "Previous version"
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},
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{
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"id": "baseline",
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"label": "No skill"
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}
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],
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"comparisons": [
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{
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"id": "efficacy",
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"label": "Efficacy",
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"new": "new",
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"against": "baseline",
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"rule": "efficacy"
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},
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{
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"id": "regression",
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"label": "Regression",
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"new": "new",
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"against": "previous",
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"rule": "regression"
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}
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],
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"cases": [
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{
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"name": "narrowest",
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"description": "narrowest scenario",
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"softCriteria": [
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"a good answer for narrowest"
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],
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"trials": [
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{
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"hard": {
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"ran": true,
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"pass": true
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},
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"comparisons": {
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"efficacy": {
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"winner": "new",
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"rationale": "fixture"
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},
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"regression": {
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"winner": "tie",
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"rationale": "fixture"
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}
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},
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"outputs": {
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"new": "OUT-new-narrowest-t0",
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"previous": "OUT-previous-narrowest-t0",
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"baseline": "OUT-baseline-narrowest-t0"
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},
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"usage": {
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"new": {
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"input": 1000,
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"output": 500,
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"cacheCreation": 200,
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"cacheRead": 300,
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"turns": 3
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},
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"previous": {
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"input": 900,
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"output": 450,
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"cacheCreation": 180,
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"cacheRead": 270,
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"turns": 3
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},
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"baseline": {
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"input": 600,
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"output": 300,
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"cacheCreation": 0,
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"cacheRead": 0,
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"turns": 2
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}
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}
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},
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{
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"hard": {
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"ran": true,
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"pass": true
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},
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"comparisons": {
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"efficacy": {
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"winner": "new",
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"rationale": "fixture"
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},
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"regression": {
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"winner": "tie",
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"rationale": "fixture"
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}
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},
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"outputs": {
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"new": "OUT-new-narrowest-t1",
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"previous": "OUT-previous-narrowest-t1",
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"baseline": "OUT-baseline-narrowest-t1"
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},
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"usage": {
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"new": {
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"input": 1000,
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"output": 500,
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"cacheCreation": 200,
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"cacheRead": 300,
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"turns": 3
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},
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"previous": {
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"input": 900,
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"output": 450,
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"cacheCreation": 180,
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"cacheRead": 270,
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"turns": 3
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},
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"baseline": {
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"input": 600,
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"output": 300,
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"cacheCreation": 0,
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"cacheRead": 0,
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"turns": 2
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}
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}
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},
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{
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"hard": {
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"ran": true,
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"pass": true
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},
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"comparisons": {
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"efficacy": {
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"winner": "new",
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"rationale": "fixture"
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},
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"regression": {
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"winner": "tie",
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"rationale": "fixture"
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}
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},
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"outputs": {
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"new": "OUT-new-narrowest-t2",
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"previous": "OUT-previous-narrowest-t2",
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"baseline": "OUT-baseline-narrowest-t2"
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},
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"usage": {
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"new": {
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"input": 1000,
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"output": 500,
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"cacheCreation": 200,
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"cacheRead": 300,
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"turns": 3
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},
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"previous": {
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"input": 900,
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"output": 450,
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"cacheCreation": 180,
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"cacheRead": 270,
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"turns": 3
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},
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"baseline": {
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"input": 600,
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"output": 300,
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"cacheCreation": 0,
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"cacheRead": 0,
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"turns": 2
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}
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}
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},
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{
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"hard": {
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"ran": true,
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"pass": true
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},
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"comparisons": {
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"efficacy": {
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"winner": "tie",
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"rationale": "fixture"
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},
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"regression": {
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"winner": "tie",
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"rationale": "fixture"
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}
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},
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"outputs": {
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"new": "OUT-new-narrowest-t3",
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"previous": "OUT-previous-narrowest-t3",
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"baseline": "OUT-baseline-narrowest-t3"
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},
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"usage": {
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"new": {
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"input": 1000,
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"output": 500,
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"cacheCreation": 200,
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"cacheRead": 300,
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"turns": 3
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},
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"previous": {
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"input": 900,
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"output": 450,
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"cacheCreation": 180,
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"cacheRead": 270,
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"turns": 3
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},
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"baseline": {
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"input": 600,
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"output": 300,
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"cacheCreation": 0,
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"cacheRead": 0,
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"turns": 2
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}
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}
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},
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{
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"hard": {
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"ran": true,
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"pass": true
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},
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"comparisons": {
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"efficacy": {
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"winner": "tie",
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"rationale": "fixture"
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},
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"regression": {
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"winner": "tie",
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"rationale": "fixture"
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}
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},
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"outputs": {
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"new": "OUT-new-narrowest-t4",
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"previous": "OUT-previous-narrowest-t4",
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"baseline": "OUT-baseline-narrowest-t4"
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},
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"usage": {
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"new": {
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"input": 1000,
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"output": 500,
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"cacheCreation": 200,
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"cacheRead": 300,
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"turns": 3
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},
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"previous": {
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"input": 900,
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"output": 450,
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"cacheCreation": 180,
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"cacheRead": 270,
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"turns": 3
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},
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"baseline": {
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"input": 600,
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"output": 300,
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"cacheCreation": 0,
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"cacheRead": 0,
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"turns": 2
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}
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}
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}
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]
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},
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{
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"name": "roomy",
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"description": "roomy scenario",
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"softCriteria": [
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"a good answer for roomy"
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],
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"trials": [
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{
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"hard": {
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"ran": true,
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"pass": true
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},
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"comparisons": {
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"efficacy": {
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"winner": "new",
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"rationale": "fixture"
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},
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"regression": {
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"winner": "new",
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"rationale": "fixture"
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}
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},
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"outputs": {
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"new": "OUT-new-roomy-t0",
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"previous": "OUT-previous-roomy-t0",
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"baseline": "OUT-baseline-roomy-t0"
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},
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"usage": {
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"new": {
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"input": 1000,
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"output": 500,
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"cacheCreation": 200,
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"cacheRead": 300,
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"turns": 3
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},
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"previous": {
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"input": 900,
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"output": 450,
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"cacheCreation": 180,
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"cacheRead": 270,
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"turns": 3
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},
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"baseline": {
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"input": 600,
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"output": 300,
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"cacheCreation": 0,
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"cacheRead": 0,
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"turns": 2
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}
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}
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},
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{
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"hard": {
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"ran": true,
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"pass": true
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},
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"comparisons": {
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"efficacy": {
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"winner": "new",
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"rationale": "fixture"
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},
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"regression": {
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"winner": "tie",
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"rationale": "fixture"
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}
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},
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"outputs": {
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"new": "OUT-new-roomy-t1",
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"previous": "OUT-previous-roomy-t1",
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"baseline": "OUT-baseline-roomy-t1"
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},
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"usage": {
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"new": {
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"input": 1000,
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"output": 500,
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"cacheCreation": 200,
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"cacheRead": 300,
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"turns": 3
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},
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"previous": {
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"input": 900,
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"output": 450,
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"cacheCreation": 180,
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"cacheRead": 270,
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"turns": 3
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},
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"baseline": {
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"input": 600,
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"output": 300,
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"cacheCreation": 0,
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"cacheRead": 0,
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"turns": 2
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}
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}
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},
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{
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"hard": {
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"ran": true,
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"pass": true
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},
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"comparisons": {
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"efficacy": {
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"winner": "new",
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"rationale": "fixture"
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},
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"regression": {
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"winner": "tie",
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"rationale": "fixture"
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}
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},
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"outputs": {
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"new": "OUT-new-roomy-t2",
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"previous": "OUT-previous-roomy-t2",
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"baseline": "OUT-baseline-roomy-t2"
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},
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"usage": {
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"new": {
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"input": 1000,
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"output": 500,
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"cacheCreation": 200,
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"cacheRead": 300,
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"turns": 3
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},
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"previous": {
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"input": 900,
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"output": 450,
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"cacheCreation": 180,
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"cacheRead": 270,
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"turns": 3
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},
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"baseline": {
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"input": 600,
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"output": 300,
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"cacheCreation": 0,
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"cacheRead": 0,
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"turns": 2
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}
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}
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},
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{
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"hard": {
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"ran": true,
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"pass": true
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},
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"comparisons": {
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"efficacy": {
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"winner": "new",
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"rationale": "fixture"
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},
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"regression": {
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"winner": "tie",
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"rationale": "fixture"
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}
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},
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"outputs": {
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"new": "OUT-new-roomy-t3",
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"previous": "OUT-previous-roomy-t3",
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"baseline": "OUT-baseline-roomy-t3"
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},
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"usage": {
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"new": {
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"input": 1000,
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"output": 500,
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"cacheCreation": 200,
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"cacheRead": 300,
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"turns": 3
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},
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"previous": {
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"input": 900,
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"output": 450,
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"cacheCreation": 180,
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"cacheRead": 270,
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"turns": 3
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},
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"baseline": {
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"input": 600,
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"output": 300,
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"cacheCreation": 0,
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"cacheRead": 0,
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"turns": 2
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}
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}
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},
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{
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"hard": {
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"ran": true,
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"pass": true
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},
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"comparisons": {
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"efficacy": {
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"winner": "new",
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"rationale": "fixture"
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},
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"regression": {
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"winner": "tie",
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"rationale": "fixture"
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}
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},
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"outputs": {
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"new": "OUT-new-roomy-t4",
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"previous": "OUT-previous-roomy-t4",
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"baseline": "OUT-baseline-roomy-t4"
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},
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"usage": {
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"new": {
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"input": 1000,
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"output": 500,
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"cacheCreation": 200,
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"cacheRead": 300,
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"turns": 3
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},
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"previous": {
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"input": 900,
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"output": 450,
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"cacheCreation": 180,
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"cacheRead": 270,
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"turns": 3
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},
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"baseline": {
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"input": 600,
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"output": 300,
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"cacheCreation": 0,
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"cacheRead": 0,
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"turns": 2
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}
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}
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}
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]
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}
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]
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}
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