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Use compact native inputs and strict coverage evidence in experiments - #597
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| val configuration = configuration.copy( | ||
| examples = examples(1), | ||
| inputExportRequest = PropertyInputExportRequest( | ||
| sources = listOf(PropertyObservationSource(module = MODULE, sha256 = campaignSourceSha256(root.resolve(MODULE)))), |
| val configuration = configuration.copy( | ||
| examples = examples(1), | ||
| inputExportRequest = PropertyInputExportRequest( | ||
| sources = listOf(PropertyObservationSource(module = MODULE, sha256 = campaignSourceSha256(root.resolve(MODULE)))), |
| val configuration = configuration.copy( | ||
| examples = examples(1), | ||
| inputExportRequest = PropertyInputExportRequest( | ||
| sources = listOf(PropertyObservationSource(module = MODULE, sha256 = campaignSourceSha256(root.resolve(MODULE)))), |
| val configuration = configuration.copy( | ||
| examples = examples(1), | ||
| inputExportRequest = PropertyInputExportRequest( | ||
| sources = listOf(PropertyObservationSource(module = MODULE, sha256 = campaignSourceSha256(root.resolve(MODULE)))), |
| val configuration = configuration.copy( | ||
| examples = examples(1), | ||
| inputExportRequest = PropertyInputExportRequest( | ||
| sources = listOf(PropertyObservationSource(module = MODULE, sha256 = campaignSourceSha256(root.resolve(MODULE)))), |
| val configuration = configuration.copy( | ||
| examples = examples(1), | ||
| inputExportRequest = PropertyInputExportRequest( | ||
| sources = listOf(PropertyObservationSource(module = MODULE, sha256 = campaignSourceSha256(root.resolve(MODULE)))), |
| val configuration = configuration.copy( | ||
| examples = examples(1), | ||
| inputExportRequest = PropertyInputExportRequest( | ||
| sources = listOf(PropertyObservationSource(module = MODULE, sha256 = campaignSourceSha256(root.resolve(MODULE)))), |
| val configuration = configuration.copy( | ||
| examples = examples(1), | ||
| inputExportRequest = PropertyInputExportRequest( | ||
| sources = listOf(PropertyObservationSource(module = MODULE, sha256 = campaignSourceSha256(root.resolve(MODULE)))), |
| val configuration = configuration.copy( | ||
| examples = examples(1), | ||
| inputExportRequest = PropertyInputExportRequest( | ||
| sources = listOf(PropertyObservationSource(module = MODULE, sha256 = campaignSourceSha256(root.resolve(MODULE)))), |
| pbtAllocationMillis = 15_000, | ||
| ) | ||
|
|
||
| assertEquals(1, artifact.result.concrete?.inputExport?.records?.size) |
This was referenced Oct 16, 2026
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The experiment used point observations to recover PBT inputs, limiting meaningful runs to 64 invocations. Use compact native input/outcome export and retain dropped, unsupported, pending and unchecked counts. Raw symbolic FALSE/THREW receipts do not become coverage: fault inputs must come from the existing original-property confirmation with the same named check and original input; successful symbolic inputs require the admitted native coverage contract.
Require an explicit functional-quota/equal-budget comparison kind and publish
fullBudgetEligible. A successful PBT quota stop cannot silently count as an equal-budget result. Report campaign, input-capture and native replay costs separately. Guided campaigns preserve explicit point observations and avoid allocating automatic point capture when compact export is supplied.Stacked on #594 at
59627519c.Validation: 8 Python evidence/budget tests, 7 real guided campaign tests, main/test Detekt, installed distribution and native four-mode functional smoke passed. The smoke has 4/5 PBT statements and 5/5 in the other modes, with no omitted inputs; all rows are explicitly ineligible for equal-budget claims. This verifies the measurement path and demonstrates no advantage of feedback over sequential execution.