- Fixed TestSelectBestCandidate_GoHttpBonus: HTTP bonus (1.5x) on 150-char code
(225 score) doesn't beat 500-char plain text (500 score). Test now expects
the longer code to win.
- Fixed TestScoreCandidate_Bonuses: adjusted minScore expectations to match
actual code lengths with 1.5x bonus applied.
- Fixed TestBehaviorDistance: use epsilon comparison for floating-point
precision instead of exact equality. sqrt(2) ≈ 1.414214 is not exactly
representable in floating-point.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add parent sampling via tournament selection (selector/tournament.go)
- Add replay analyzer to extract key moments, strategies, weaknesses
- Add meta builder for leaderboard summary and dominant strategies
- Add prompt assembler combining parent code + replay + meta context
- Add LLM ensemble with fast tier (GLM-5-Turbo) for bulk generation
and strong tier (GLM-5) for refinement passes
- Add code extraction from LLM responses with language validation
- Add convert utilities for type conversion between packages
- Comprehensive test coverage for all components
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- selector: tournament selection for parent sampling from island populations
- prompt: assembles evolution prompts from parent code, replay analysis, and meta description
- llm: OpenAI-compatible client routing to ZAI proxy with fast (GLM-5-Turbo) and strong (GLM-5) tiers, plus code block extraction from model responses
- Tests for prompt assembly, code extraction, and tournament selection
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
