tobjend
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8540947eec
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docs: Round 6b results — Kotlin capture fix + minimal coarsening
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2026-07-12 01:05:19 +02:00 |
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tobjend
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d65b78bdf1
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fix: bare Kotlin captures + minimal coarsening (RETURN/IF/EXCEPTION/LOOP only)
- Added bare Kotlin captures to BEHAVIORAL_PREFIXES: conditional, exception, repeat, property, type
- Dropped variable (too noisy), kept only 4 high-signal categories in coarsen_token
- RAGSAK: 87 cross-package contexts (up from 69), real null-check patterns
- Flask: k=2 coverage 4.5% -> 15.8%, cross-package rendering conventions
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2026-07-12 01:04:51 +02:00 |
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tobjend
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592974f039
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feat: structural coarsening experiment — keeps function names raw, coarsens keywords
- coarsen_token() maps tree-sitter captures to categories (RETURN, IF, LOOP, etc.)
- Function calls kept as raw text (they ARE the behavioral content)
- Only ~5% structural tokens coarsened
- Results: Flask coverage 17.5% -> 28.8% (+11.3%), RAGSAK unchanged (95% calls)
- Cross-package shapes emerge: ('IF', 'KW', 'RETURN') in 4 Flask packages
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2026-07-12 00:56:09 +02:00 |
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tobjend
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8e1c7f3767
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docs: experiment log + cross-package analysis
- Full experiment history: context strategies, Reduce, scoring, GBNF, cross-package
- Documented failures: per-package sparsity, Reduce at wrong level, exact match rarity
- Designed next experiment: structural coarsening via tree-sitter categories
- Updated RESULTS.md with Round 5 findings and summary table
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2026-07-12 00:45:21 +02:00 |
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tobjend
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b516b2985d
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feat: implement Reduce algorithm (Algorithm 4, TODS 2010)
- bex/reduce.py: Faithful implementation of Reduce with support-weighted
SOA edit distance, adjunction, iterative merging, and Minimize
- experiments/context_eval.py: Multi-codebase support (RAGSAK + Flask),
Reduce experiments with thresholds 0.05-0.4
- tests/test_reduce.py: 24 tests covering all Reduce components
- Flask cloned to external_refs/flask for cross-validation
Results:
- RAGSAK: 12.0% coverage (First 3 symbols)
- Flask: 10.7% coverage (First 3 symbols)
- Reduce has minimal impact (1-2 merges per codebase at ε=0.3)
- Coverage ceiling appears to be ~10-12% for prefix-based grouping
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2026-07-12 00:11:38 +02:00 |
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tobjend
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bbdfe93679
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experiments: test all context strategies on RAGSAK — behavioral grouping wins
Key findings:
- File path grouping (structural) = baseline (0.6% coverage) — no improvement
- First-k-symbols grouping (behavioral) = 20× improvement (12% coverage at k=3)
- Two-dimensional (path + symbols) = worse than behavioral alone
- Winner: Option B k=3 — 47 SOREs, 12% coverage
Smart filters make experiments fast (<1s vs minutes):
- max_unique_ratio=0.85
- max_alphabet=20
- max_soa_edges=100
Preserved in experiments/results/ for future reference.
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2026-07-11 23:40:21 +02:00 |
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